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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 2
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-14
    Description: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
    Keywords: process mining ; process discovery ; process analytics ; process querying ; conformance checking ; predictive process monitoring ; data science ; knowledge graphs ; event data ; streaming analytics ; machine learning ; deep learning ; business process management ; health informatics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
    Language: English
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  • 4
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    Taylor & Francis | Routledge India
    Publication Date: 2024-01-30
    Description: The Last Mile explores the gaps and dichotomy between drafted policies and their implementation, and the last mile challenges which often make public services inaccessible to the poorest and most vulnerable sections of society. It provides an in-depth overview of the dynamics between communities, research and consultation and the implementation of policies for development. Rich in empirical data and case studies from different government programmes and reports, this book examines the implementation of government service programmes for poverty reduction, women’s empowerment, and income generation for the poor, among others, from a people’s perspective. It highlights the need for policies and institutions to align their methods to community needs. Offering guidelines for redesigning as well as solutions to counter challenges related to lack of trust and effective communication, human resource management, capacity development, redressal mechanisms, and facilitating the last mile connection, the author delineates effective ways for integrating new technologies in policy implementation. The book also addresses legacy issues in institutions and re-orienting policy for better governance, transparency, and building trust. Part of the Innovations, Practice and the Future of Public Policy in India series, this book, by a senior practitioner, will be an essential resource for students and researchers of development studies, sociology, public policy and governance, economics, and South Asian studies. This book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons (CC-BY-NC-ND) 4.0 license.
    Keywords: community development ; governance ; public policy ; social programmes ; socioeconomic development ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::J Society & social sciences::JK Social services & welfare, criminology::JKS Social welfare & social services ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFS Social groups::JFSF Rural communities ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GT Interdisciplinary studies::GTB Regional studies ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The eradication of vector-borne diseases is threatened by the limited range of available insecticides, leading, inevitably, to the development of resistance. This is particularly concerning for malaria control, which relies heavily on insecticide-treated nets (ITNs) and indoor residual sprays (IRS). New chemistries are being developed, and innovative deployment of insecticides may play a role in overcoming resistance, either through new types of tools or new means of distribution. A variety of novel product types and vector control strategies are under development and evaluation, which is to be celebrated, but a strong evidence base is needed to guide effective operational deployment decisions. Novel approaches should be supported by robust data collected using appropriate and validated methods to monitor efficacy, durability, and any emerging resistance. This reprint presents original research into developing and characterizing new vector control products, as well as understanding and monitoring insecticide resistance. Review articles explore the impact of insecticide resistance and offer guidance on insecticide choice in the face of pyrethroid resistance. Consensus methodologies are presented, in the form of standard operating procedures (SOPs) designed to be adopted and used to generate reproducible data that can be compared and interpreted across and between studies. It is hoped that this collection of articles offers inspiration and guidance on how consistent data can be generated to inform more effective development, evaluation, and use of new and existing vector control tools.
    Keywords: prallethrin ; insecticide ; spatial treatment ; mosquito fitness ; protection ; pyrethroids ; Aedes albopictus ; Culex pipiens ; life tables ; mosquito ; bite-proof garment ; model ; textile ; non-insecticidal ; physical barrier ; insecticide selection ; out-crossing ; strain authentication ; laboratory screening ; pyrethroid ; pyrethroid resistance ; insecticide resistance ; insecticide resistance management ; vector control ; malaria ; malaria control ; Anopheles ; host-seeking behavior ; insecticide exposure ; pathogen transmission ; Aedes aegypti ; Anopheles gambiae ; ATSB ; Culex quinquefasciatus ; Iroquois ; RNAi ; Saccharomyces cerevisiae ; yeast ; Anopheles mosquito ; fertility ; ovary development ; pyriproxyfen (PPF) ; side-effects ; machine learning ; image classification ; automated identification ; convolutional neural network ; insecticide-treated net (ITN) ; PBO ITN ; synergist ITN ; dual-AI ITN ; insecticide resistance management (IRM) ; method validation ; durability monitoring ; bioinsecticide ; disease transmission ; insecticide-resistance ; mosquito-borne disease ; mosquito control ; natural compounds ; phytochemical ; malaria vector ; insecticide treated nets ; cytochrome P450s ; kdr ; cuticular resistance ; deltamethrin ; imidacloprid ; bifenthrin ; β-cyfluthrin ; etofenprox ; α-cypermethrin ; λ-cyhalothrin ; thiacloprid ; mosquitoes ; Attractive Toxic Sugar Bait (ATSB) ; Attractive Targeted Sugar Bait (ATSB) ; diagnostic bioassay ; resistance monitoring ; insecticide-treated nets (ITN) ; strain characterisation ; method development ; product evaluation ; quality control (QC) ; dual active ingredients (dual-AI) ; bioefficacy ; IRS ; application technology ; broflanilide ; clothianidin ; pirimiphos-methyl ; WHO tube ; WHO tunnel test ; ITNs ; interceptor ; interceptor G2 ; membrane ; human arm ; rabbit ; bioassay ; bio-efficacy ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSB Biochemistry
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  • 6
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    Amsterdam University Press
    Publication Date: 2024-03-29
    Description: A Continent Moving West? argues that the conceptualization of migration as a one-way or long-term process is becoming increasingly wide of the mark. Rather, east-west labor migration in Europe, in common perhaps with other flows in and from other parts of the world, is diverse, fluid, and influenced by the dynamics of local and sector-specific labor markets and migration-related political regulations. The papers in this book contribute to critical understanding of the east-west migration within the European Union after the 2004 enlargement, from the new to the old member states.
    Keywords: Sociology ; Political Science ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
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  • 7
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    CNRS Éditions
    Publication Date: 2023-09-11
    Description: While several atlases of Ancient Egypt exist, no atlas of contemporary Egypt has yet been published. Thus, this work fills a void and offers the general public an illustrated panorama of Egypt at the beginning of the 21st century. Through the contributions of some fifty researchers, it presents in an accessible form the key facts and challenges that concern present-day Egypt in the realms of politics, economics, demographics, the environment, society and culture, and geopolitics. To this end, the Atlas relies on a wide array of previously unpublished sources, most especially maps, which help to unlock and interpret the results of the official Egyptian census of 2017, providing an up-to-date view of the country and a better understanding of Egypt today.
    Keywords: Egypt ; geopolitics ; demography ; geohistory ; Greater Cairo ; Egyptian provinces ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures.
    Keywords: cybersecurity ; machine learning ; intrusion detection ; cybersecurity awareness&nbsp ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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  • 10
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    Taylor & Francis | Routledge
    Publication Date: 2024-01-30
    Description: Climate change is perhaps the greatest threat to humanity today and plays out as a cruel engine of myriad forms of injustice, violence and destruction. The effects of climate change from human-made emissions of greenhouse gases are devastating and accelerating; yet are uncertain and uneven both in terms of geography and socio-economic impacts. Emerging from the dynamics of capitalism since the industrial revolution — as well as industrialisation under state-led socialism — the consequences of climate change are especially profound for the countryside and its inhabitants. The book interrogates the narratives and strategies that frame climate change and examines the institutionalised responses in agrarian settings, highlighting what exclusions and inclusions result. It explores how different people — in relation to class and other co-constituted axes of social difference such as gender, race, ethnicity, age and occupation — are affected by climate change, as well as the climate adaptation and mitigation responses being implemented in rural areas. The book in turn explores how climate change – and the responses to it - affect processes of social differentiation, trajectories of accumulation and in turn agrarian politics. Finally, the book examines what strategies are required to confront climate change, and the underlying political-economic dynamics that cause it, reflecting on what this means for agrarian struggles across the world. The 26 chapters in this volume explore how the relationship between capitalism and climate change plays out in the rural world and, in particular, the way agrarian struggles connect with the huge challenge of climate change. Through a huge variety of case studies alongside more conceptual chapters, the book makes the often-missing connection between climate change and critical agrarian studies. The book argues that making the connection between climate and agrarian justice is crucial. The chapters in this book were originally published in The Journal of Peasant Studies.
    Keywords: Agrarian justice;Climate change;Climate Smart Agriculture;Critical Agrarian Studies;Environmental Politics ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RND Environmental policy & protocols
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  • 11
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    Manchester University Press
    Publication Date: 2024-03-29
    Description: Deportation limbo traces the efforts of two Nordic welfare states, Denmark and Sweden, to address the so-called implementation gap in deportation enforcement. It offers an original, empirically grounded account of how often-futile, injurious policy measures devoted to pressuring non-deported people to leave are implemented and contested in practice. In doing so, it presents a critique of the widespread, normalised use of detention, encampment, and destitution, which routinely fail to enhance deportations while exposing deportable people to conditions that cause their premature death. The book takes the ‘deportation limbo’ as a starting point for exploring the violent nature of borders, the racial boundaries of welfare states, and the limits of state control over cross-border mobility. Building on unprecedented access to detention and deportation camps and migration offices in both countries, it presents ethnographic material capturing frontline officials’ tension-ridden efforts to regulate non-deported people using forced deportation, incarceration, encampment, and destitution. Using a continuum of state violence as the analytical lens, the book offers a uniquely comprehensive account of how the borders of Nordic welfare states are drawn through practices that subject racialised ‘others’ to expulsion, incarceration, and destitution. The book is the first to systematically document the renewed deportation turn in Denmark and Sweden, and to critically examine its implications: for the people targeted by intensified deportation measures, and for the individual officials, institutions, and societies enforcing them. It offers an important, critical contribution to current debates on the violence of deportation regimes, the politico-bureaucratic structures and practices that sustain them, and their human costs.
    Keywords: deportation ; political ethnography ; Denmark ; Sweden ; detention ; violence ; welfare state ; humanitarianism ; critical border studies ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHM Anthropology::JHMC Social & cultural anthropology, ethnography ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFN Migration, immigration & emigration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues::JBFH Migration, immigration and emigration ; thema EDItEUR::5 Interest qualifiers::5P Relating to specific groups and cultures or social and cultural interests::5PB Relating to peoples: ethnic groups, indigenous peoples, cultures and other groupings of people::5PBC Relating to migrant groups / diaspora communities or peoples ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: A collection of 18 scientific papers written in honor of Professor Karlheinz Schwarz's 80th birthday. The main topics include spectroscopy, excited states, DFT developments, results analysis, solid states, and surfaces.
    Keywords: density functional theory ; Coulomb systems ; excited states ; nodal variational principle ; DFT ; anatase TiO2(101) surface ; adsorption energy ; Bader charge ; helium atom ; screened Coulomb potential ; variational Monte Carlo method ; Lagrange mesh method ; comparison theorem ; TD-DFT ; MC-PDFT ; Lie–Clementi ; Colle–Salvetti ; OLEDs ; subphthalocyanines ; UV–visible spectra ; axial substituents ; peripheral substituents ; time-dependent DFT ; hexatetra-carbon ; electrical properties ; molecular aggregates ; singlet excitons ; triplet excitons ; TDDFT ; charge-transfer states ; charge-resonance states ; Frenkel states ; localized excitations ; diabatic states ; adiabatic states ; semiconductors ; oscillator strength ; hybrid exchange-correlation functional ; non-local potential ; statistics ; methods comparison ; benchmarking ; band gaps ; atomization energy ; DFT codes ; electronic structure calculation ; numerical accuracy and precision ; kinetic functional ; Yukawa potential ; periodic DFTB ; deMonNano ; graphene ; graphite ; benzene dimers ; deposited benzene ; supported clusters ; weighted mulliken charges ; LAPW method ; APW+lo method ; all-electron DFT ; density matrix functional embedding ; density-functional theory ; householder transformation ; He atomic basis sets ; helium dimer ; He2 potential well ; correlation energy ; complete basis set ; sigma basis set ; atomic multiplet theory ; crystal/ligand-field theory ; coordination compounds ; electronic structure ; Cu2OCl2 ; Cu2OBr2 ; Cu2OI2 ; oxyhalides ; magnetic couplings ; Néel temperature ; chemical pressure ; NMR ; machine learning ; zeolites ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNR Physical chemistry
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  • 13
    Publication Date: 2024-03-29
    Description: Does the fact that the majority of Turkey's population is Muslim form a hindrance to its EU membership? According to a recent policy advice by the Netherlands Scientific Council for Government Policy (WRR), the answer is an adamant 'no'. Why is this issue of Turkish Islam relevant? After all, Turkey should not be judged by standards other than the Copenhagen criteria. The answer is that the public debate outside 'Brussels' will not be limited to these official criteria. Many people in Europe are worried about Turkey's 'Islam factor'. They believe that Muslims are (potentially violent) fundamentalists who want to establish a theocracy. By explicitly examining the role of Turkish Islam and Muslims in Turkey, the WRR wants to contribute to a well-informed European public debate on Turkey's accession. This title is available in the OAPEN Library - http://www.oapen.org.
    Keywords: Political Science ; Sociology ; Religion ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; bic Book Industry Communication::H Humanities::HR Religion & beliefs::HRL Aspects of religion (non-Christian)::HRLB Theology ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics ; thema EDItEUR::Q Philosophy and Religion::QR Religion and beliefs::QRV Aspects of religion::QRVG Theology ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
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  • 14
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    Mario Einaudi Center for International Studies, Cornell University | Cornell Global Perspectives
    Publication Date: 2024-03-29
    Description: In a speech delivered in Japanese at Cornell University, atomic bomb survivor Tomokazu Ihara describes the bombing of his home city of Nagasaki in 1945, traces his activism against nuclear proliferation, and issues an impassioned plea for a world without nuclear weapons. Cornell Global Perspectives is an imprint of Cornell University's Mario Einaudi Center for International Studies. The works examine critical global challenges, often from an interdisciplinary perspective, and are intended for a non-specialist audience. The Distinguished Speaker Series presents edited transcripts of talks delivered at Cornell, both in the original language and in translation.
    Keywords: Politics and government ; Nuclear weapons ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JW Warfare & defence::JWM Weapons & equipment::JWMN Nuclear weapons ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JW Warfare and defence::JWM Weapons and equipment::JWMN Nuclear weapons
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  • 15
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    University of Michigan Press
    Publication Date: 2024-03-29
    Description: Constitutional considerations of protective laws for women were the analytical battlefield on which the legal community reworked the balance between private liberty and the state's authority to regulate. Julie Novkov focuses on the importance of gender as an analytical category for the legal system. During the Progressive Era and New Deal, courts often invalidated generalized protective legislation, but frequently upheld measures that limited women's terms and conditions of labor. The book explores the reasoning in such cases that were decided between 1873 and 1937. By analyzing all reported opinion on the state and federal level, as well as materials from the women's movement and briefs filed in the U.S. Supreme Court, the study demonstrates that considerations of cases involving women's measures ultimately came to drive the development of doctrine. The study combines historical institutionalism and feminism to address constitutional interpretation, showing that an analysis of conflict over the meaning of legal categories provides a deeper understanding of constitutional development. In doing so, it rejects purely political interpretations of the so-called Lochner era, in which the courts invalidated many legislative efforts to ameliorate the worst effects of capitalism. By addressing the dynamic interactions among interested laypersons, attorneys, and judges, it demonstrates that no individuals or institutions have complete control over the generation of constitutional meaning. Julie Novkov is Assistant Professor of Political Science, University of Oregon
    Keywords: Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    ANU Press | ANU Press
    Publication Date: 2024-03-29
    Description: Nations appear and fall, but cities endure and rediscover how to succeed. In this meticulously defined and researched book, Glenn presents ideas for minimising suffering during urban catastrophes. His urgency identifies risks held in urban areas by 3.5 billion people. These people are many of us: as urban populations occupying 3 per cent of our planet's land area, drawing water from 41 per cent of the world’s ground surface, consuming 60 to 80 per cent of global energy and achieving 80 per cent of the world’s economic productivity. For Glenn, our resilience—through diversity in preparation, survival and recovery—includes comprehensive approaches that are sustained in duration, orchestrated in bringing all necessary capabilities to bear, layered in approach and early in application.’ —Major General Chris Field, Australian Army ‘The time to prepare for the inevitable is now. Dr Glenn has written a book that should be read by all leaders, planners and responders who may be called upon in an urban disaster, whether natural or man-made. Military leaders should give it particular attention, as the human race is increasingly concentrated in its cities. Understanding how to wage war in dense urban terrain is essential, especially if a nation also seeks to hold the moral high ground. The fruits of any victory won among people that fails to consider the lessons in Come Hell or High Fever are likely to be very bitter.’ —Lieutenant General Sean MacFarland, United States Army (retired)
    Keywords: Urban ; Disaster ; HADR ; Humanitarian ; Relief ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JW Warfare & defence ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RP Regional & area planning ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JW Warfare and defence ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RP Regional and area planning
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer science, psychology, artificial intelligence, and other areas. Emotion recognition research uses non-physiological signals such as facial expression, speech, and body movement, as well as physiological signals and images such as electrical skin resistance (GSR), heart rate (HR), electrocardiogram (ECG), functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and magnetoencephalogram (MEG). This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field.
    Keywords: machine learning ; deep learning ; feature extraction ; emotional intelligence ; creativity ; consumer behavior ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Keywords: artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.
    Keywords: earned value method—EVM ; time variances ; cost variances ; schedule ; cadastre ; land surveyor ; construction surveying ; building layout ; polar coordinates ; stake-out methods ; total station ; construction reports ; construction contracts ; natural language processing ; machine learning ; simulation modeling ; bridge expansion and contraction installation (BECI) ; decision making (DM) ; technical condition assessment ; analytic hierarchy process (AHP) ; whale optimization algorithm ; Tent chaotic mapping ; Lévy flight ; resilience ; baseline schedule ; uncertainty ; taxonomy ; construction project ; PERT ; theory of constraint (TOC) ; drum-buffer-rope (DBR) ; construction schedule ; monitoring progress ; construction phase ; automated monitoring ; digital tools ; as-built ; as-planned ; efficiency ; risk ; randomization ; association analysis ; tabu search ; delay ; time schedules ; project risk ; construction project management ; Time-at-Risk (TaR) ; investment-construction process model ; Monte Carlo simulation ; decision-making process ; decision modelling in construction activities ; decisions in civil engineering ; liquid cooling system ; flow calibration ; differential pressure ; experimental method ; aircraft ; building information modelling (BIM) ; automatisation ; facilities design ; domestic plumbing and sanitation ; management ; project cost ; investment schedule ; risk mitigation ; randomness ; fuzziness ; health and safety control ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-03-29
    Description: This open access book explores some of the struggles and challenges that researchers and practitioners face when conducting research in the Central Asian research setting. Written for scholars still in the planning stages of their research, it addresses key questions, including: How shall we problematize and reconceptualize the concept of positionality through lenses of local voices from the region? How does practitioners’ and scholars’ positionality contribute to their experiences of inclusion, exclusion, and access to the field? How do scholars navigate issues of personal safety and mental well-being in the more closely monitored societies of Central Asia? The book includes contributors from both Central Asia and Western countries, paying particular attention to the ways researchers’ subjectivity shape how they are received in the region, which, in turn, influences how they write about and disseminate their research. In featuring an even greater variety of voices, this book fills an important gap in the literature on field research and knowledge production in and on Central Asia.
    Keywords: Central Asia ; Field Research ; Decolonization ; Positionality ; Reflexivity ; Researcher’s ethnicity ; Central Asia Barometer ; Kazakhstan ; Tajikistan ; Research in Central Asia ; Post-Soviet Societies ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; bic Book Industry Communication::J Society & social sciences ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHM Anthropology::JHMC Social & cultural anthropology, ethnography ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory ; thema EDItEUR::J Society and Social Sciences ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-01
    Description: This book discusses various topics in pharmacovigilance. The first section addresses such topics as approaches to minimize adverse drug reactions, different stakeholders and their importance in pharmaceutical policy development, changing needs for pharmacovigilance in the African region, machine learning applications in pharmacovigilance, and pharmacovigilance of biological drugs. The second section discusses signal detection, which is a promising approach that helps in the early identification of new, rare drug reactions (desired or undesired).
    Keywords: machine learning ; data mining ; elderly ; biosimilar ; supervised learning ; mental disorders ; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
    Keywords: data privacy ; taxonomy ; IoT ; COVID-19 ; mobile application ; accelerometer sensor ; stand-up time ; total time ; aging ; linear-map convolutional neural network ; direct acyclic graph ; action recognition ; spatial feature ; temporal feature ; frailty ; home monitoring ; user-centered design ; usability ; user experience ; acceptance ; activity recognition ; Internet of Things ; smart house ; deep learning ; channel state information ; glaucoma screening ; retinal images ; segmentation ; classification ; precision nutrition ; food plans ; machine learning ; food logging ; Eight Hop Test ; systematic review ; measurement ; sensors ; diseases ; wrist-wearable device ; PPG processing ; physiological parameters ; web-based applications ; data analysis ; elderly monitoring ; successful aging ; gerontechnology ; AAL ; healthcare ; prevalidation ; deployment ; chronic heart failure ; large-scale pilot ; H2020 ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: The Internet of Things (IoT) has emerged as a popular area of research and has piqued the interest of academics and scholars worldwide. As such, many works have been done on IoT in a variety of application areas. Written by leading experts in the field, this book serves as a showcase of the breadth of IoT research conducted in recent years for people who, while not experts in the field, do have prior knowledge of the IoT. The book also serves curious, non-technical readers, enabling them to understand necessary concepts and terminologies associated with the IoT.
    Keywords: artificial intelligence ; iot ; machine learning ; healthcare ; ai ; ehealth ; thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDF Email: consumer / user guides
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint focuses on the current progress in sports medicine, with a specific interest in surgery, exercise therapy, and multi-disciplinary research. With the advancement of society, more attention is paid to the quality of life, which emphasizes the importance of sports and exercise. Correspondingly, there is a great need for sports medicine. This issue collected novel findings on sports medicine in surgery, conservative therapy, and the application of exercise training in other disorders
    Keywords: shoulder ; rotator cuff ; allografts ; demineralized bone matrix ; biologics ; diabetes mellitus ; aerobic training ; resistance training ; vascular function ; meta-analysis ; femoroacetabular impingement ; hip arthroscopy ; longitudinal capsulotomy ; femoroplasty ; labrum repair ; degenerative lumbar diseases ; albumin-to-alkaline phosphatase ratio ; spinal fusion rate ; prognostic marker ; arterial hypertension ; exercise hypertension ; blood pressure ; exercise testing ; sports injuries ; machine learning ; injury prediction ; sports monitorization ; elite football ; performance ; systemic inflammation ; physical endurance ; physical fitness ; maximal aerobic capacity ; gingivitis ; cardiac rehabilitation ; exercise therapy ; balance exercises ; cardiovascular diseases ; ACLR ; hamstring tendon with preserved tibial insertion ; MRI ; T2 ; cartilage volume ; gait retraining ; running-related injuries ; kinetics ; kinematics ; rehabilitation ; rotator cuff tear ; rotator cuff repair ; bone quality ; osteopenia ; osteoporosis ; anchor pullout ; pullout strength ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Various molecular techniques based on omics (transcriptomics, proteomics, genomics) and phylogenetics have been applied in biological sciences. Molecular dynamics and approaches evolved over time into various quantitative tools that allow researchers from multiple disciplines to design different studies. The molecular-based techniques can be comprehensive and systematic, as they allow identification, resolve genetic differences, molecular docking, and prediction models of ecological niches and taxonomic ranks. Investigating genomics, proteomics, and phylogenetic techniques utilize a novel class of DNA elements, such as microsatellites from mitochondria and chloroplast and retrotransposons, resulting in genetic variations using molecular data. In addition to this, the advantages and limitations of molecular approaches have been well studied and acknowledged. The combination of molecular phylogenetic and omics techniques and expression and pathways analysis may greatly increase our capacity to understand and develop new molecular mechanisms and stress responses in biological systems. Furthermore, these techniques offer extensive opportunities for researchers to develop targeted therapy approaches and disease diagnoses using molecular data. It is necessary to evaluate and explore how data from diverse molecular techniques can be applied to different biological studies. The study and applications of molecular approaches hold significant potential for advancing genomics, proteomics, and phylogenetic techniques in biological sciences.
    Keywords: autophagy-related protein ; degradation ; ubiquitin ; proteasome ; autophagy ; Bacillus thuringiensis ; Cry toxin ; nematicidal activity ; pore-formation ; diabetes ; vaccines ; clinical trials ; insulin ; GLP ; nitric oxide ; antioxidants ; metal-stress related transcripts ; rice ; Pb-stress ; Aurisin A ; beta-cyclodextrins ; inclusion complex ; lung cancer ; ruxolitinib ; JAK inhibitor ; rheumatoid arthritis ; molecular modeling ; TOR ; photosynthesis ; cell growth ; AZD8055 ; Auxenochlorella pyrenoidosa ; ovarian cancer ; somatic BRCA mutational status ; digital pathology ; machine learning ; artificial intelligence ; super-secondary structure ; 3β-corner ; folding nuclei ; structure stability ; H Ferritin subunit ; PRDX6 ; protein-protein interaction ; seed-specific transcription factors ; signaling pathways ; seed size ; seed development ; juvenile idiopathic arthritis ; transcriptome-wide association study ; gene-based association analysis ; enrichment analysis ; gene regulatory network ; computational cancer biology ; precision medicine ; oxaliplatin and capecitabine (XELOX) ; data bank ; AlphaFold 2.0 ; graph neural network ; protein features ; nasopharyngeal carcinoma ; bioinformatics ; genes ; melon ; CmSUN ; IQ67 domain ; expression analysis ; overexpression phenotype ; fruit shape regulation ; protein interaction ; smooth muscle titin ; protein aggregates ; amyloid aggregation ; amyloids ; cross-β ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    NYU Press
    Publication Date: 2023-10-05
    Description: What impact has deconstruction had on the way we read American culture? And how is American culture itself peculiarly deconstructive? To address these questions, this volume brings together some of the most provocative thinkers associated with deconstruction, among them Jacques Derrida, Judith Butler, and Avital Ronnel. Ranging across a wide field, from the ethics of reading to the rhetoric of performance, the contributors offer provocative insights into a new sense of the political. The America of the volume's title turns out to be the place where the politics and poetics of responsibility meet. It is also the place where we confront the tension between difference and profound otherness.
    Keywords: Political Science ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: This reprint addresses healthcare transformation towards personalized, participative, preventive, predictive, and precision medicine (5P Medicine) with the support of new technologies such as micro-, nano-, and bio-techniques, as well as artificial intelligence and learning systems. It focuses, therefore, on the representation and management of knowledge from different domains and their actors, using their methodologies and languages but also individual skills and experiences. The outcome is a system-oriented, architecture-centric, ontology-based, policy-driven approach allowing a formal representation and management of health ecosystems, including their integration and interoperability. Such development is accompanied by security, privacy, and ethical challenges to be resolved. The reprint describes the principles, methodologies, and standards for successfully managing the transformation of health and social care, illustrated by many practical examples and implemented use cases. The reprint is based on papers published in the context of the pHealth 2021 Conference in Genoa, Italy. However, the content goes far beyond the focus and size of the original papers.
    Keywords: syntactical parsing ; natural language processing ; electronic health records ; Node2Vec ; automatic text labeling ; graph algorithms ; mobile application ; mHealth ; digital technology ; emergency service ; hospital ; emergency department ; clinical laboratory information systems ; communication ; text messaging ; pediatrics ; postoperative risks ; aortic aneurysm ; integrated data ; predictive modeling ; feature extraction ; machine learning ; privacy ; trust ; modelling ; antecedents ; Fuzzy attractiveness rating ; didactic ; Healthcare IT ; citizens ; E-Learning ; digitalization ; digitization ; patient empowerment ; education ; healthcare communications ; surgical biobank ; post-traumatic arthritis ; osteomyelitis ; semantic data integration ; system theory ; biomedical ontologies ; knowledge representation ; ascending aortic dilatation ; aneurysm ; risk factors ; echocardiography ; social media ; physical activity ; chatbot ; health ; participatory health ; usability ; conversational agent ; behavior change ; genomics ; security ; modular architecture ; GIPAMS ; standards ; Markov model ; periprosthetic joint infection ; revision arthroplasty ; total hip replacement ; decision trees ; oncohematology ; epilepsy risk ; epilepsy modeling ; COVID-19 ; pneumonia ; dynamical Bayesian networks ; treatment trajectories ; auto ML ; eHealth ; data democratization ; health data infrastructure ; privacy-enhancing technologies ; hospital-acquired infections ; international coding system ; laboratory information systems ; information extraction ; stress detection ; individual learning ; centralized learning ; federated learning ; smartwatch ; health transformation ; ecosystems ; knowledge representation and management ; architecture ; n/a ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Gastrointestinal (GI) cancer is a major cause of morbidity and mortality in the world. Since early diagnosis and optimal treatment selection are crucial to improving the prognosis of these diseases, the discovery of useful biomarkers has the potential to greatly reduce their burden. Recent technical and mechanical developments have allowed for the detection of tiny differences in various factors modified in physical conditions, which could contribute to the discovery of novel biomarkers for some diseases.In this Special Issue, we aim to focus on novel biomarkers for GI cancers, including esophageal cancer, gastric cancer, colorectal cancer, liver cancer, pancreatic cancer and biliary cancer. In addition, any samples (tissue, blood, urine and feces) are useful as biomarker sources, although body-fluid-based biomarkers are promising as diagnostic biomarkers due to their noninvasiveness. This Special Issue aims to collect novel insights clarifying the current situation and future perspective in this field.
    Keywords: colorectal cancer ; advanced adenoma ; screening ; stool ; mRNA ; n/a ; cancer screening ; cirrhosis ; AFP ; machine learning ; MALDI-TOF ; proteomics ; CXCR4 ; prognosis ; overall survival ; rectal cancer ; neoadjuvant chemoradiation ; mouse model ; biomarkers ; urokinase plasminogen activator (uPA) ; urokinase plasminogen activator receptor (uPAR) ; plasminogen activator inhibitor type 1 (PAI-1) ; circulating tumour cell (CTC) ; gastric cancer ; oesophageal cancer ; serine proteases ; tumour microenvironment ; serpins ; biomarker ; chemoresistance ; liquid biopsy ; microRNA ; long non-coding RNA ; colorectal neoplasms ; cancer screening tests ; early detection of cancer ; precision medicine ; unfolded protein ; hepatocellular cancer ; GSVA ; unfolded protein score ; epigenetic regulation genes ; somatic mutations ; molecular genetic markers ; extracellular vesicles ; microbiome ; 16S rRNA amplicon ; metagenomics ; liver fibrosis ; hepatocellular carcinoma ; recurrence ; SHG/TPEF microscopy ; artificial intelligence ; advanced gastric cancer ; targeted therapy ; urinary miRNA ; miR-129-1-3p ; miR-566 ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJC Diseases & disorders::MJCL Oncology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: There has been significant growth in branches of industry directly related to new materials, such as metals, polymers, and composite materials. Considering the increase in material costs, it has become exceedingly important to produce lightweight constructions through the use of certified materials with appropriate mechanical properties. Many composite materials, especially in building engineering, are characterized by the use of waste materials, allowing them to meet environmental demands and often also positively affecting the performance (as well as mechanical) properties of the whole construction. A similar phenomenon has been noticed in polymers and metals, with the “ecologically friendly” factor having increasing influence in such materials. The main aim of our Special Issue was to gather novel research results concerning different materials available for all important industries—building engineering, the heavy industry, automotive, aerospace, and medicine. Such a general title has been proposed to also include different manufacturing technologies using various materials—conventional (milling, casting, forming, and turning) and novel (hybrid and additive manufacturing).
    Keywords: additive manufacturing ; powder bed fusion ; 316L stainless steel ; ultrasonic atomization ; gas atomization ; three-point bending ; polyamide-based composites ; fused filament fabrication ; concrete additives ; concrete fibers ; concrete strength tests ; threshold effect ; flake graphene ; graphene oxide ; reduced graphene oxide ; lubricants ; grease ; fatigue life prediction ; CuZn37 brass ; machine learning ; IPCs ; ceramic preform ; ceramic–elastomer composite ; silane coupling agent ; hot isostatic pressing (HIP) ; wettability ; mechanical properties ; mechanical engineering ; laser powder bed fusion ; 21 NiCrMo2 steel ; process parameters ; post-heat treatment ; torsional strength ; cellular structures ; 20MnCr5 Steel ; cement–glass composite bricks ; digital image correlation analysis ; material extrusion ; PET-G ; waste disposal ; hybrid additive manufacturing ; lattice structures ; hot isostatic pressing ; fatigue behaviour ; polymer–straw boards ; thermoplastic polymers ; annual plants ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2023-11-17
    Description: This open access book presents three future consumption trends—technology, sustainability, and wellbeing—and discusses what impact those trends will have on the ways we shop. What will be important to the consumers of the future? And how will their retail experiences look and feel? Will technology, sustainability, and wellbeing trends fundamentally change how we consume? And how should retail managers respond to these trends in order to provide the customer experiences of the future? Blending academic perspectives with reflections from innovative retailers, this book explores all these questions and more. Essential reading for retail managers who want to know how future consumption trends will affect the industry, this book also benefits students and researchers of retail and consumption who want to better understand how these interdependent fields are linked.
    Keywords: consumer behaviour ; Retail ; sustainability ; digital ; artificial intelligence ; machine learning ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJS Sales & marketing ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNP Distributive industries
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    Springer Nature | Springer Nature Singapore
    Publication Date: 2023-03-20
    Description: This Open Access book provides a comprehensive analysis of political reforms in Japan since the 1990s, emphasizing the role of ideas in shaping their goals and outcomes. For more than fifteen years following the collapse of Japan’s economic bubble, politicians, business people and academics tackled a range of institutional reforms. The sweeping changes they enacted—covering almost all facets of the public sphere, including elections, public administration, courts and the central bank—fundamentally altered Japanese political processes and policies. Taken together, they arguably represent the final touches of Japan’s political modernization, which had been unfolding since the mid-19th century. Throughout the reform process, advocates were inspired by a combination of liberal and modernist ideas. This book examines those guiding concepts and illustrates the often messy process of applying them to real-world institutions. While most reforms began from common goals, they ultimately produced different—and frequently unexpected—institutional outcomes, which continue to shape Japanese politics. By focusing on the relationship between the ideas and processes that shaped Japan’s reforms, this book presents a broad vision of institutional change in comparative politics.
    Keywords: Post-War Japan ; Bubble Economy ; Single-seat constituency ; Proportional representation ; Japan's Lower House ; Japan's Upper House ; Liberal Democratic Party (LDP) ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPH Political structure & processes::JPHL Political leaders & leadership ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPH Political structure & processes::JPHF Elections & referenda ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPH Political structure & processes ; bic Book Industry Communication::H Humanities::HB History::HBJ Regional & national history::HBJF Asian history
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: The aim of carbon capture, utilization, and storage (CCUS) is to reduce the amount of CO2 released into the atmosphere and to mitigate its effects on climate change. Over the years, naturally occurring CO2 sources have been utilized in enhanced oil recovery (EOR) projects in the United States. This has presented an opportunity to supplement and gradually replace the high demand for natural CO2 sources with anthropogenic sources. There also exist incentives for operators to become involved in the storage of anthropogenic CO2 within partially depleted reservoirs, in addition to the incremental production oil revenues. These incentives include a wider availability of anthropogenic sources, the reduction of emissions to meet regulatory requirements, tax incentives in some jurisdictions, and favorable public relations. The United States Department of Energy has sponsored several Regional Carbon Sequestration Partnerships (RCSPs) through its Carbon Storage program which have conducted field demonstrations for both EOR and saline aquifer storage. Various research efforts have been made in the area of reservoir characterization, monitoring, verification and accounting, simulation, and risk assessment to ascertain long-term storage potential within the subject storage complex. This book is a collection of lessons learned through the RCSP program within the Southwest Region of the United States. The scope of the book includes site characterization, storage modeling, monitoring verification reporting (MRV), risk assessment and international case studies.
    Keywords: geologic CO2 sequestration ; CO2 and brine leakage ; underground source of drinking water ; risk assessment ; response surface methodology ; early detection criteria ; multi-objective optimization ; CO2-WAG ; machine learning ; numerical modeling ; hybrid workflows ; morrow ; Farnsworth ; Anadarko ; incised valley ; geological carbon sequestration ; reactive surface area ; mineral trapping ; enhanced oil recovery with CO2 (CO2-EOR) ; geochemical reactions ; workflow ; workshop ; process influence diagram ; response surface model ; polynomial chaos expansion ; NRAP ; relative permeability ; geologic carbon storage ; multi-phase flow simulation ; life cycle analysis ; CO2-enhanced oil recovery ; anthropogenic CO2 ; global warming potential ; greenhouse gas (GHG) ; carbon storage ; CO2-EOR ; CO2 sequestration ; geomechanics ; reservoir fluid flow modelling ; tightness of caprock ; CO2 leakage ; threshold pressure ; reactive solute transport ; multi-phase fluid flow ; Farnsworth Unit ; STOMP ; GEM ; TOUGHREACT ; 4D ; time lapse ; CO2 ; EOR ; WAG ; sequestration ; monitoring ; carbon sequestration ; caprock integrity ; noble gas migration ; seal by-pass ; carbon dioxide storage ; storage efficiency factor ; probabilistic ; expectation curve ; Monte Carlo ; Farnsworth Field ; petroleum system modeling ; CO2 migration ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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    Springer Nature | Humana
    Publication Date: 2024-04-05
    Description: This Open Access volume provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting, Machine Learning for Brain Disorders is a valuable resource for researchers and graduate students who are new to this field, as well as experienced researchers who would like to further expand their knowledge in this area. This book will be useful to students and researchers from various backgrounds such as engineers, computer scientists, neurologists, psychiatrists, radiologists, and neuroscientists.
    Keywords: machine learning ; deep learning ; brain disorders ; neurology ; psychiatry ; data science ; neural networks ; statistical learning ; neuroimaging ; clinical data ; biomarkers ; omics ; electronic health records ; mobile devices ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2024-03-29
    Description: This is an open access book. With the unprovoked Russian invasion of Ukraine, European security has been put on high alert. The implications of the Russian military invasion are many and difficult to grasp in full. However, the need for greater European strategic autonomy appears increasingly evident. The book argues that strategic autonomy may be reached—also in the short run—if differentiated integration is seen as an asset rather than a challenge. While the EU (together with NATO) remains the core in such a system, there is a multitude sub-regional integration processes that need to be taken into account to get the full idea of how European strategic autonomy can be achieved.
    Keywords: European Union Politics ; Actorness ; Differentiated Integration ; Strategic Autonomy ; EU Security Policy ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPS International relations ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPS International relations
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    Taylor & Francis | Routledge
    Publication Date: 2024-03-29
    Description: This book seeks to reassess and shed new light on pan-nationalisms in general and on Scandinavianism/Nordism in particular, by seeing them as possible futures and as interconnected ideas and practices across and beyond Europe. An actor- and practice-oriented approach is applied at the expense of more essentialist categorisations of what pan-nationalism is, or is not, to underline both the synchronic and diachronic diversity of various pan-national movements. A range of expert international scholars discuss encounters, transfers, similarities and differences among pan-movements in Norden and Europe based on a broad empirical material, focusing on Scandinavianism/Nordism, pan-Slavism, pan-Turanism, pan-Germanism and Greater Netherlandism, and the position of Britishness in Great Britain. This book will be of key interest to scholars and students of nationalism, European history, European studies and Scandinavian studies, history, social science, political geography, civil society and literary studies.
    Keywords: Britishness ; civil society ; European history ; Greater Netherlandism ; mesoregions ; Nordic cooperation ; Nordic region ; Nordism ; nationalism ; nation-building ; Pan-Germanism ; Pan-Slavism ; Pan-Turanism ; pan-nationalism ; region-building ; Scandinavianism ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: The year 2021 marks the 10th anniversary of Journal of Clinical Medicine, and as one of the major sections of JCM, we are launching a 10th anniversary Special Issue in the section “Gastroenterology & Hepatopancreatobiliary Medicine”. We accepted papers for the Special Issue, titled "Recent diagnostic and therapeutic advance in Gastroenterology & Hepatopancreatobiliary Medicine". This medical field is a complex and wide-ranging field that deals with diseases in multiple organs such as the gastrointestinal tract and hepatobiliary pancreas. With recent advances in diagnostic imaging and interventional treatment, those in endoscopic diagnosis and treatment, those in functional test and those in genetic diagnosis and drug therapy, including the molecular-targeted therapy, many new medical findings have been accumulated. In this Special Issue, we looked for reports that make full use of advances in diagnostics and therapeutics in the field of Gastroenterology and Hepatopancreatobiliary Medicine.
    Keywords: TXI ; sessile serrated lesion ; hyperplastic polyp ; colonoscopy ; endoscopic submucosal dissection ; colorectal tumor ; traction method ; carbon dioxide ; CO2 insufflation ; abdominal pain ; abdominal distention ; transnasal endoscopy ; health check ; tranexamic acid ; gastrointestinal bleeding ; mortality ; thromboembolic events ; liver metastases ; colorectal liver metastases ; non-colorectal and non-neuroendocrine liver metastases ; liver resection ; Crohn’s disease ; biologics ; small-molecule drugs ; health-related quality of life (HRQoL) ; gastric cancer ; gastric cancer screening ; endoscopy ; H. pylori ; eradication therapy ; n/a ; functional bowel disorders ; gut microbiota ; personalized diet ; machine learning ; personalized medicine ; Turkey ; machine perfusion ; normothermic ; hypothermic ; liver transplant ; survival ; ustekinumab ; perianal fistula ; radiological fistula remission ; metastatic pancreatic carcinoma ; FOLFIRINOX ; sarcopenia ; oxaliplatin ; L3 skeletal muscle index ; percutaneous endoscopic gastrostomy ; prognostic factor ; bic Book Industry Communication::M Medicine
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    Publication Date: 2024-03-29
    Description: The 2016 RAND Presidential Election Panel Survey uses the American Life Panel (ALP) to study voting intentions, public opinion, and voter behavior. This document provides a detailed description of our methodology.
    Keywords: Sociology ; Political Science ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
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    Publication Date: 2024-03-29
    Description: Ever since the dramatic events of September 11, 2001 the fundamentalist and exclusivist trend prevails in most presentations of Islamic thinking. Indeed, these events have given extremists and fundamentalists a much more prominent position than they might ever have dreamt of. In Reformation of Islamic Thought, the prominent Egyptian scholar Nasr Abû Zayd examines the positive, liberal, and inclusive reaction embedded in the writings of Muslim thinkers. He takes the reader on a critical journey across the Muslim World, where Muslim thinkers from Egypt and Iran to Indonesia seek to divest Islam of traditionalistic and legalistic interpretation. Instead, these thinkers stress the value of a cultural, enlightened Islam, and an individualistic faith. For many, the dogmatic Islam established by the conservatives and supported by totalitarian political regimes is outdated; they want it replaced by a spiritual and ethical Islam. To what extent are these reformist thinkers engaged in a genuine renewal of Islamic thought? Do they succeed in escaping the traditionalist trap of presenting a purely negative image of the West? This title is available in the OAPEN Library - http://www.oapen.org.
    Keywords: Political Science ; Sociology ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Ciguatoxins (CTXs), which are responsible for Ciguatera fish poisoning (CFP), are liposoluble toxins produced by microalgae of the genera Gambierdiscus and Fukuyoa. This book presents 18 scientific papers that offer new information and scientific evidence on: (i) CTX occurrence in aquatic environments, with an emphasis on edible aquatic organisms; (ii) analysis methods for the determination of CTXs; (iii) advances in research on CTX-producing organisms; (iv) environmental factors involved in the presence of CTXs; and (v) the assessment of public health risks related to the presence of CTXs, as well as risk management and mitigation strategies.
    Keywords: ciguatoxins ; HRMS ; Q-TOF ; ciguatera poisoning ; C-CTX1 ; fragmentation pathways ; maitotoxins ; Gambierdiscus ; Fukuyoa ; LC-MS/MS ; QToF ; neuroblastoma cell assay ; matrix effect ; ciguatera monitoring ; SPATT passive samplers ; HP20 resin ; CBA-N2a ; WS artificial substrate ; qPCR ; HTS metabarcoding ; ciguatera ; ciguatoxin ; cytotoxicity assay ; ELISA ; HPLC ; immunoassay ; mouse bioassay ; receptor-binding assay ; ciguatoxins (CTXs) ; neuroblastoma cell-based assay (CBA) ; immunosensor ; pacific ciguatoxins ; natural product ; polycyclic ether ; ring-closing metathesis ; Tsuji-Trost allylation ; French Polynesia ; epidemiology ; toxicological analyses ; risk management ; climate change ; Gambierdiscus polynesiensis ; toxin profile ; nitrate ; urea ; culture medium acidification ; CTX1B ; 52-epi-54-deoxyCTX1B ; 54-deoxyCTX1B ; Dictyota ; Caribbean ; dinoflagellate ; benthic algae ; algal toxin ; harmful algal bloom ; the Indian Ocean ; Arabian sea ; Kuwait bay ; Aden Gulf ; Red Sea ; Gulf of Aqaba ; Andaman Sea ; Bay of Bengal ; seafood safety ; foodborne disease ; experimental exposure ; lionfish ; trophic transfer ; toxin accumulation ; Selvagens Islands ; morphology ; phylogeny ; benthic dinoflagellate ; Beibu Gulf ; Chinese waters ; least absolute shrinkage and selection operator ; machine learning ; data science ; medical informatics ; survival analysis ; foodborne diseases ; Ciguatera Fish Poisoning ; digital technologies ; open data ; risk analysis ; marine biotoxins ; Lagodon rhomboides ; pinfish ; bioaccumulation ; depuration ; Caribbean ciguatoxin ; growth dilution ; model ; kinetics ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology::MMGT Medical toxicology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Routledge
    Publication Date: 2024-03-29
    Description: Urgent Archives argues that archivists can and should do more to disrupt white supremacy and hetero-patriarchy beyond the standard liberal archival solutions of more diverse collecting and more inclusive description.Grounded in the emerging field of critical archival studies, this book uncovers how dominant western archival theories and practices are oppressive by design, while looking toward the the radical politics of community archives to envision new liberatory theories and practices. Based on more than a decade of ethnography at community archives sites including the South Asian American Digital Archive (SAADA), the book explores how members of minoritized communities activate records to build solidarities across and within communities, trouble linear progress narratives, and disrupt cycles of oppression. Caswell explores the temporal, representational, and material aspects of liberatory memory work, arguing that archival disruptions in time and space should be neither about the past nor the future, but about the liberatory affects and effects of memory work in the present.Urgent Archives extends the theoretical range of critical archival studies and provides a new framework for archivists looking to transform their practices. The book should also be of interest to scholars of archival studies, museum studies, public history, memory studies, gender and ethnic studies and digital humanities.
    Keywords: Political Science ; Language Arts & Disciplines ; Library & Information Science ; Archives & Special Libraries ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GL Library & information sciences::GLC Library, archive & information management ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GL Library and information sciences / Museology::GLC Library, archive and information management
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Nowadays, computational and mathematical methods provide effective tools for handling vast quantities of data and information in the fields of big data analytics, knowledge discovery and decision-making for solving complex problems in the world. The present reprint contains all of the articles accepted and published in the first edition of the Special Issue titled “Computational and Mathematical Methods in Information Science and Engineering”. The objective of this Special Issue is to provide a channel through which members of the scientific community can exchange insights regarding recent advances in the theory and application of computational and mathematical methods in information science and engineering, with the long-term goal being to solve data-handling problems in practice. We hope that the papers published in this Special Issue will be considered impactful by the international scientific community and motivate further research into computational and mathematical methods that can solve complex problems in various fields and applications.
    Keywords: multi-scale ; local interaction ; lightweight image reconstruction network ; global fusion ; green supply chain ; environmental awareness ; information acquisition ; outsourcing ; in-house ; career choice ; prediction ; machine learning ; college students ; non-cooperative equilibrium ; complex supply chain network ; environmental policies ; circular economy ; structural balance ; feedback mechanism ; opinions polarization ; reservoir characterization ; productivity prediction ; knowledge interaction neural network ; embedded model ; egg shape equation ; displacement of volume method ; egg volume ; classical retrial policy ; queue dependent service rate ; waiting time analysis ; infinite orbit ; private set intersection ; quantum authentication ; oblivious quantum key distribution ; Internet of Things ; multi-objective optimization ; mining plan ; metal mines ; adaptive ; hybrid mutation ; multi-facility location problem ; clustering algorithm ; center-of-gravity method ; hybrid multi-attribute ; three-way group decision making ; VIKOR model ; grey correlation analysis ; interval-valued intuitionistic fuzzy numbers ; tourist arrival forecast ; variational mode decomposition ; empirical mode decomposition ; multiscale analysis ; deep learning model ; convolutional neural network model ; seasonal ARIMA ; ARIMA ; sales forecasting ; demand pattern ; dynamic weighting ; model selection ; retail ; malicious network traffic ; GAN ; imbalanced classification ; partial discharge (PD) ; phase-resolved PD (PRPD) ; rotating machine ; stator coil ; buffer wards ; mixed-integer programming ; dynamic bed allocation ; patient admission control ; COVID-19 pandemic ; regression ; data stream ; non-convex loss function ; noise-resilient ; online-learning ; ARL ; control charts ; COVID-19 data ; deviance residuals ; link functions ; logistic profiling ; Pearson residuals ; conditional autoregressive model ; Markov chain Monte Carlo ; occurrence rate ; spatial Poisson model ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint focuses on recent advances in the processing of surface electromyography (EMG) signals acquired during human movement, as well as on innovative approaches to sense muscle activity. A wide range of methods is examined, including machine learning techniques to detect the onset/offset timing of muscle activity and approaches to evaluate muscle fatigue and analyze muscle synergies and co-contractions. Applications of these techniques are explored in different medical scenarios, e.g., for the benefit of patients suffering from low back pain, stroke survivors, and patients requiring polysomnography.
    Keywords: gait ; locomotion ; motor module ; number of synergies ; VAF ; gait analysis ; EMG ; muscle activation patterns ; movement analysis ; muscle synergies ; sEMG ; stroke ; factor analysis ; neurorehabilitation ; MRC ; dynamometer ; strength ; mechanomyography ; piezoelectric sensor ; vibration sensor ; human-machine interface ; prosthetic control ; hand gesture recognition ; convolutional neural network ; electromyography ; polysomnography ; REM sleep without atonia ; REM sleep behavior disorder ; RBD ; parkinsonism ; Parkinson’s disease ; spectral power ; sitting balance ; trunk control ; ipsilesional arm ; MFRT ; fatiguing frequency-dependent lifting ; low back pain ; trunk muscle coactivation ; onset detection ; muscle activation ; machine learning ; neural networks ; surface EMG ; sEMG processing ; force estimation ; isometric contractions ; surface EMG signal ; co-contraction detection ; muscular synergies ; the time–frequency domain ; wavelet transform ; power spectral density ; spectral estimation techniques ; Welch method ; Burg method ; autoregressive model ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity.
    Keywords: vineyard ; pesticide application ; variable rate application ; unmanned aerial vehicle ; satellite ; nanosatellite ; monsoon crops ; leaf area index ; leaf chlorophyll concentration ; crop water content ; multispectral ; hyperspectral ; deep learning ; forage dry matter yield ; high-throughput phenotyping ; Brazilian pasture ; nitrogen indicator ; nitrogen nutrition diagnosis ; optical sensor ; spectral index ; UAV ; wheat lodging ; lightweight ; digital surface model (DSM) ; winter wheat ; fractional order differential ; continuous wavelet transform ; optimal subset regression ; support vector machine ; wheat powdery mildew ; machine learning ; information fusion ; remote sensing monitoring ; hyperspectral imaging ; dimensionality reduction ; LDA ; PLS ; PCA ; RandomForest ; ReliefF ; XGB ; Meloidogyne ; Solanum tuberosum ; soil salinity sensitive parameter ; random forest ; optimal retrieval model ; remote sensing ; high throughput phenotyping ; UAV/drone ; biomass estimation ; oats ; wheat ; yield prediction ; random forests ; satellite imagery ; Normalized Difference Vegetation Index (NDVI) ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 50
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: In the treatment of acute stroke, thrombolysis and thrombectomy have proven to be highly effective. Many patients have seen significant improvement after reperfusion therapy. This reprint aims to address current knowledge gaps and promote advancements in the use of thrombolysis and thrombectomy for the treatment of acute ischemic stroke.
    Keywords: ischemic stroke ; acute kidney injury ; contrast media ; endovascular treatment ; outcome ; hyperglycemia ; acute ischemic stroke ; large vessel occlusion ; mechanical thrombectomy ; stroke ; ischemia ; machine learning ; cerebral infarction ; biomarkers ; recanalization therapy ; reperfusion ; temperature ; time to admission ; prehospital delay ; prior stroke ; basilar artery ; brain ischemia ; intracranial atherosclerosis ; embolism ; infarction ; clinical symptoms ; intravenous thrombolysis ; endovascular therapy ; recanalization times ; clinical outcome ; hypoperfusion index ratio ; collateral circulation ; collateral scoring ; CTA ; CTP ; thrombolysis ; C-reactive protein ; white blood cell count ; prognosis ; hypoperfusion ; collaterality ; thrombectomy ; frailty ; elderly patients ; hospital frailty risk score ; acute stroke ; perfusion imaging ; CT perfusion ; MR perfusion ; RAPID ; fasting hyperglycemia ; fasting normoglycemia ; long-term outcome ; hemorrhagic transformation ; parenchymal hematoma ; GWAS ; single nucleotide variants ; anterior circulation ; bridging therapy ; recanalization ; stroke risk score ; COVID-19 ; Lithuania ; reperfusion therapies ; outcomes ; safety ; prehospital stroke diagnosis ; ultrasound ; brain perfusion ; SONAS® ; prehospital stroke scales ; point-of-care diagnostics ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 51
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.
    Keywords: human ankle model ; product of exponentials formula ; anthropometry ; biomechanics ; coordinate measuring machines ; kinematics ; pose estimation ; position measurement ; biomedical informatics ; adolescent idiopathic scoliosis (AIS) ; surface electromyography (sEMG) ; paraspinal muscle ; Schroth exercise ; paraspinal muscle symmetry index (PMSI) ; negative heel shoes ; positive heel shoes ; gait ; pregnant women ; OpenSim ; IDEEA ; dentistry ; dental unit chair systems ; muscle fatigue ; muscle activation ; in vivo study ; femoral neck fracture ; internal fixation ; intramedullary fixation ; finite element analysis ; finite element ; proximal junctional failure ; spinal reconstruction ; thoracolumbar ; rollback ; ligament strain ; kinematic alignment ; mechanical alignment ; total knee arthroplasty ; markerless motion capture system ; gait analysis ; joint moment ; joint power ; running economy ; running style ; duty factor ; vertical oscillation ; stride frequency ; freezing of gait ; gait initiation ; Parkinson’s disease ; posture ; segmental centers of mass ; anthropometric measurement ; base of support ; hand exoskeleton design ; motion simulation ; rehabilitation ; intention recognition ; machine learning ; deep learning ; two-dimensional (2D) image ; marker-free video ; walking speed ; walking speed classification ; bi-LSTM ; redundant feature ; ratio-based body measurement ; optimal feature ; surface topography ; rasterstereographic back shape analysis ; normative data ; healthy adults ; posture analysis ; spine ; intelligent system ; classroom behavior ; motion identification ; shoulder activity ; sensor ; rehabilitation protocol ; proximal humerus fracture ; ground reaction force ; knee and hip ; lower limb ; normal walking ; musculoskeletal multibody dynamics ; spinal biomechanics ; spinal alignment ; spinal loading ; muscle force computation ; thoracolumbar spine ; biomechanical model ; electromyography ; inertial measurement units ; gait-phase prediction ; spinal cord injury (SCI) ; muscle fiber conduction velocity (MFCV) ; surface electromyography (EMG) ; EMG–force relation ; composite index ; characteristic points ; multivariable linear regression ; anterior cruciate ligament deficiency ; competitive swimming ; performance ; velocity fluctuations ; multibody simulation ; finite element method ; co-simulation ; sports ; degeneration ; intervertebral disc ; coupled ; embryo implantation ; human choriocarcinoma cell ; extracellular matrix ; stiffness ; durotaxis ; n/a ; thema EDItEUR::M Medicine and Nursing
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  • 52
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    University of London Press | University of London Press
    Publication Date: 2023-12-23
    Description: From houses to roads, infrastructures offer a unique lens through which to explore social and political change. Serving as an important conduit between states and citizens, infrastructures provide governments with a powerful tool to mould subjects and control populations. Yet, at the same time they also give individuals, communities, and movements a platform to challenge the state and forge alternative forms of citizenship and politics. Infrastructures therefore shape social and political relations in unexpected ways and never dutifully follow the scripts of politicians, bureaucrats, and engineers. Latin America provides fertile terrain to explore these issues. The region has been subject to extensive foreign intervention for centuries and much of its infrastructure has primarily been constructed to benefit colonial and imperial powers. Yet Latin America has also seen widespread resistance to colonial-capitalist expansion, and infrastructures have been central to these diverse struggles. Drawing on recent empirical research, this cross-disciplinary book demonstrates the value of analysing social and political change through infrastructure. The authors explore a diverse range of Latin American infrastructures, from a sparkling new tram network in Ecuador to a crumbling old nuclear plant in Cuba. Building on the empirical chapters, the editors demonstrate the value of conceptualising infrastructure as a relational and experimental process. In addition to making a novel contribution to global infrastructure debates, the volume offers important new insights into Latin American history, society, and politics.
    Keywords: infrastructure ; Latin America ; colonialism ; state ; citizenship ; resistance ; protest ; capitalism ; urban development ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFS Social groups::JFSL Ethnic studies::JFSL4 Hispanic & Latino studies
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  • 53
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    University of Michigan Press
    Publication Date: 2024-02-12
    Description: One of the most significant global events in the last forty years has been the rise of China— economically, technologically, politically, and militarily. The question on people's minds for decades has been whether China will replace the United States as a superpower in the near future. But for China, this power must be comprehensive — having strong economic and militant forces are only two pieces of the puzzle. China must also possess soft power, such as attractive ideologies, values, and culture. China as Number One? explores China’s soft powers through the eyes of Chinese citizens. Utilizing data from the World Values Survey, the contributors to this collection analyze the potential soft power of a rising China by examining its residents' social values. A comprehensive study of changes and continuities in the political and social values of Chinese citizens, the book examines findings in the context of evolutionary modernization theory and cross-national comparison.
    Keywords: Chinese political culture, Chinese social values, democracy, democratic values, authoritarianism, interpersonal trust, political trust, political development, modernization process, modernization theories, liberalsim, materialist values, post-modern values, political support, regime support, political participation, religiosity, religious values, hard power, soft power ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
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  • 54
    Publication Date: 2024-03-29
    Description: Traditionally, the Netherlands has enjoyed being a test market for many ideas in the media. But over the last decade, progress has been severely hampered by lengthy discussions on the future structure of just one sector of media, namely public broadcasting via radio and television. The narrow approach results in a lot of paper, speeches and theories, but little in the way of definitive policy making. In a report to the government, published in February 2005, the Scientific Council for Government Policy (WRR) argued for very different approaches to policy making. The recommendations are not only much broader than "broadcasting"; they tackle the challenges of making robust policy from new angles. Instead of trying to repair the old compass, the approach has been to find new instruments to help policymakers navigate the stormy and often confusing waters ahead. Perhaps the problem in the Netherlands is not accepting the new media, but rather accepting that the role "old" media has undergone a paradigm shift. Since the bulk of the WRR findings were published in the Dutch language, this summary is intended to provide readers outside the Netherlands with an insight into the issues at stake - and the solutions suggested by the WRR. Also available in Dutch"http://www.aup.nl/do.php?a=show_visitor_book&isbn=9789053567333"〉Focus op functies This title is available in the OAPEN Library - http://www.oapen.org.
    Keywords: Political Science ; Sociology ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
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  • 55
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
    Keywords: Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing’s equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 56
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: Remote sensing is a powerful technique for characterizing and monitoring crop or vegetation properties at reasonable temporal and spatial resolutions. Remote sensing uses airborne and spaceborne platforms to collect various imageries and is widely applied for the vegetation monitoring of local- or large-scale interest concerning the effect of geophysical and climate parameters. The Special Issue highlights vegetation monitoring using remote sensing data acquired from satellite or unmanned aerial vehicle platforms. In addition to the optical data, thermal data is utilized to estimate crop yield or production, orchard water status, chlorophyll content, forest diversity mapping, or vegetation phenology.
    Keywords: rice and wheat ; nitrogen remote sensing ; quantitative retrieval ; research prospect ; vegetation phenology ; snow cover ; vegetation index ; SOS ; Tibetan Plateau ; remote sensing ; forest diversity ; GEDI LiDAR ; Sentinel-2 ; machine Learning ; yield forecasting ; logistic model ; normalization method ; crop canopy temperature ; maize ; broadband vegetation indices ; chlorophyll content ; leaf angle distribution ; WorldView-2 ; RapidEye ; GaoFen-6 ; random forest ; land evaluation ; soil ; biomass ; Hungary ; gross primary productivity ; soil health ; soil quality ; coastal marsh ; continuum removal ; hyperspectral ; spectral signatures ; unmanned aerial vehicle (UAV) ; vegetation species discrimination ; second derivative transformation ; canopy temperature ; crop water status index ; accuracy assessment ; peach orchard ; stem water potential ; backscatter ; gradient boosting ; machine learning ; NDVI ; precision agriculture ; forest stock volume ; NDVIRE ; Helan mountains ; convolutional neural networks (CNNs) ; unmanned aerial vehicles (UAVs) ; semi-natural grasslands ; plant communities ; time series ; reconstruction algorithm ; smoothing ; optical remote sensing ; cropping intensity ; temporal mixture analysis ; endmember ; unmixing ; time series images ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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    Amsterdam University Press
    Publication Date: 2024-03-29
    Description: In economics, business, and government policy, innovation policy requires the creation of new approaches based on insight in what happens in innovation processes, on the micro level of people, firms and interaction between them. In innovation policy it should also be recognized that innovation entails a whole range of activities beyond R&D, such as entrepreneurship, design, commercialization, organization, collaboration and the diffusion of knowledge and innovations . This edited volume explores the roles of individuals and organizations involved in the creation and application of innovations. Covering topics as diverse as the macro-economic importance of innovation, theories of knowledge and learning, entrepreneurship, education and research, organizational innovation, networks and regional innovation systems, Micro-Foundations for Innovation Policy provides critical insights into the development of innovation policy. This title is available in the OAPEN Library - http://www.oapen.org.
    Keywords: Political Science ; Sociology ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
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  • 58
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Cybersecurity models include provisions for legitimate user and agent authentication, as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we can define a continuum of cybersecurity measures ranging from user identification to risk-based and multilevel authentication, complex application and network monitoring, and anomaly detection. We refer to this as the “anomaly detection continuum”. Machine learning and other artificial intelligence technologies can provide powerful tools for addressing such issues, but the robustness of the obtained models is often ignored or underestimated. On the one hand, AI-based algorithms can be replicated by malicious opponents, and attacks can be devised so that they will not be detected (evasion attacks). On the other hand, data and system contexts can be modified by attackers to influence the countermeasures obtained from machine learning and render them ineffective (active data poisoning). This Special Issue presents ten papers that can be grouped under five main topics: (1) Cyber–Physical Systems (CPSs), (2) Intrusion Detection, (3) Malware Analysis, (4) Access Control, and (5) Threat intelligence.AI is increasingly being used in cybersecurity, with three main directions of current research: (1) new areas of cybersecurity are being addressed, such as CPS security and threat intelligence; (2) more stable and consistent results are being presented, sometimes with surprising accuracy and effectiveness; and (3) the presence of an AI-aware adversary is recognized and analyzed, producing more robust solutions.
    Keywords: Internet of Things ; cybersecurity ; cyber threats ; malware detection ; machine learning ; network traffic ; cooperative intelligent transportation systems (cITSs) ; IDS ; vehicular ad-hoc networks (VANET) ; adaptive model ; deep belief network (DBN) ; NIDS ; deep learning ; false negative rate ; artificial neural network ; MITRE ATT&CK Matrix ; techniques classification ; BERT-based multi-labeling ; formal ontology ; risk identification ; vulnerability ; portable executable malware ; tree-based ensemble ; performance comparison ; statistical significance test ; adversarial examples ; face recognition ; mask matrix ; targeted attack ; non-targeted attack ; anomaly detection ; attack detection ; cyber-physical system ; datasets ; evaluation metrics ; biometric cryptosystem ; iris identification ; error-correcting codes ; intrusion detection ; smart grid ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
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    Amsterdam University Press
    Publication Date: 2024-03-29
    Description: City in Sight presents recent scholarship on the various issues facing today's Dutch metropolitan areas, including immigration and the growing diversity among the urban population, urban restructuring and neighborhood renewal, shifts in urban governance, and the promotion of active citizenship. With its wealth of information and up-to-date research, this text will appeal to scholars of urban politics and social history from all over the globe.
    Keywords: Political Science ; Sociology ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GT Interdisciplinary studies::GTB Regional studies ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTM Regional / International studies
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  • 60
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: Comprehensive understanding of surface water and groundwater interaction is essential for effective water resources management. Groundwater and surface water are closely connected components that constantly interact with each other within the Earth’s hydrologic cycle. Many studies utilized observations to explain the surface water and groundwater interactions by carefully analyzing the behavior of surface water features (streams, lakes, reservoirs, wetlands, and estuaries) and the related aquifer environments. However, unlike visible surface water, groundwater, an invisible water resource, is not easy to measure or quantify directly. Nevertheless, demand for groundwater that is highly resilient to climate change is growing rapidly. Furthermore, groundwater is the prime source for drinking water supply and irrigation, and hence critical to global food security. Groundwater needs to be managed wisely, protected, and especially sustainably used. However, this task has become a challenge to many hydrologic systems in arid to even humid regions because of added stress caused by changing environment, climate, land use, population growth, etc. In this issue, the editors present contributions on various research areas such as the integrated surface water and groundwater analysis, sustainable management of groundwater, and the interaction between surface water and groundwater. Methodologies, strategies, case studies as well as quantitative techniques for dealing with combined surface water and groundwater management are of interest for this issue.
    Keywords: groundwater-surface water interaction ; analytical ; numerical ; FEMME ; STRIVE ; MODFLOW ; Long Short-Term Memory ; groundwater level prediction ; groundwater withdrawal impact ; groundwater level variation ; machine learning ; integrated surface water and groundwater analysis ; climate change ; hydraulic fracturing ; construction of well pads ; MIKE-SHE ; MIKE-11 ; northwestern Alberta ; SWAT+ ; groundwater ; modeling ; groundwater–surface water interactions ; rainwater harvesting ; climate variability ; small island developing states ; improved water governance ; national sustainable development plans ; SDG6 ; community participation ; drinking water supply ; water supply scheme ; surface water/groundwater interactions ; managed aquifer recharge ; induced riverbank filtration ; groundwater resource management ; water curtain cultivation ; surface–groundwater interaction ; water budget analysis ; Nera River ; carbonate aquifer ; recession curves ; seismic sequence ; permafrost hydrology ; Russian Arctic ; water tracks ; hydrological connectivity ; stable water isotopes ; dissolved organic carbon ; electrical resistivity tomography ; taliks ; flood ; surface and groundwater interactions ; HEIFLOW ; Managed Aquifer Recharge ; groundwater tracer ; heat transport ; surface–ground-water interactions ; infiltration basin ; groundwater hydrology ; young water fraction ; global meteoric water line ; northern Italian Apennines ; stakeholder participation ; surface water-groundwater interaction ; scenario modelling ; integrated water management ; agent-based modelling ; SimCopiapo ; water balance ; water table fluctuation method ; irrigated pastures ; deep percolation ; aquifer recharge ; clay soils ; flood irrigation ; water management ; surface water ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
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  • 61
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    Amsterdam University Press
    Publication Date: 2024-03-29
    Description: The Netherlands and Belgium exemplified the pathology of 'welfare without work' that characterized continental welfare states - until a political crisis in both countries produced a surprising divergence in scope and extent of policy change in the early 1990s. In Belgium, government announced major reforms but its social security arrangements proved remarkably resilient. In the Netherlands, policy makers announced and implemented unprecedented cutbacks and a major overhaul of the disability benefit administration and supervision. This book argues that reform is the product of the deliberate construction of a crisis as an imperative for change. It explains how crisis rhetoric resulted in drastic policy change in the Netherlands and in incremental change in Belgium. This title is available in the OAPEN Library - http://www.oapen.org.
    Keywords: Political Science ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
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  • 62
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI) on the following topics: Process Automation, Process Control and Monitoring, Design Principles in Industry 4.0, Smart Manufacturing and Technologies, Smart Factories, Machine Learning and Artificial Intelligence in Manufacturing. The reprint contains 13 chapters written by 54 ARCI conference participants from seven countries: China, Croatia, Denmark, Germany, Italy, Poland and Romania. This reprint will inform readers of cutting-edge developments in the field and provide effective starting points and a road map for further research and development. All chapters follow the same structure: firstly, an introduction to the specific topic under study; secondly, a description of the field, including sensing or/and measuring applications. Each chapter ends with a curated list of references, including books, journals, conference proceedings and websites. “Process Control and Smart Manufacturing for Industry 4.0” is intended for researchers and scientists from academia and industry, as well as for postgraduate students.
    Keywords: steel alloys ; resistance spot welding ; RSW ; electrode wear ; electrode tip-dressing ; process monitoring ; mushrooming ; plateau forming ; quality control ; COVID-19 ; FDM ; 3D printing ; injection molding ; personal protection ; rapid prototyping ; protective face shields ; mechatronics line ; visual servoing system ; wheeled mobile robot ; industrial robotic manipulator ; Industry 4.0 ; NDT ; magnetic particle inspection ; optimization ; condition monitoring ; vibration ; acoustic emission ; drive train ; data fusion ; machine learning ; product morphology ; core data model ; phase rule filter ; phase private data model ; storage system ; forklift AGV ; deep learning ; semantic segmentation ; H-Swish ; community transformation ; community innovation governance ; ternary space ; coupling and coordination analysis ; lean manufacturing ; lean principles ; pull principle ; production control mechanisms ; production processes ; lean implementation ; batch process ; partial least squares ; multi-phase ; multi-mode ; master production scheduling ; make-to-order ; mathematical programming ; agent-based ; overtime ; earliness ; tardiness ; equipment selection decision ; business compass ; energy consumption ; processing time ; beetle antennae search algorithm ; sustainable blank dimension design ; energy-saving ; low-carbon ; grey wolf algorithm ; gas–solid ; cyclone ; separator ; gas dynamics ; erosion ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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  • 63
    Publication Date: 2023-10-05
    Description: The National Institute on Money in State Politics collects, processes, and makes public information on campaign contributions made to state-level candidates for public office. Drawing on experiences of a variety of users, as well as a review of the publications that have used the Institute’s data and research reports, this report provides an evaluation of the Institute’s impact on the public discourse over campaign finance at the state level.
    Keywords: Business ; Law ; Political Science ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNQ IT & Communications law ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
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  • 64
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.
    Keywords: machine learning ; artificial intelligence ; malocclusion ; diagnostic imaging ; active learning ; maxillary sinusitis ; convolutional neural network ; deep learning ; segmentation ; oral microbiota ; LEfSe ; PCoA ; alloprevotella ; prevotella ; core microbiota ; artificial neural networks ; oral cancer diagnosis ; oral cancer prediction ; pit and fissure sealants ; caries assessment ; visual examination ; clinical evaluation ; convolutional neural networks ; transfer learning ; deep learning network ; YOLOv4 ; mandibular third molar ; inferior alveolar nerve ; contact relationship ; panoramic radiograph ; deep learning methods ; caries diagnosis ; dental panoramic images ; radiography ; Fourier transform infrared spectroscopy ; FTIR imaging ; spectral biomarker ; multivariate analysis ; discriminant model ; oral squamous cell carcinoma ; oral epithelial dysplasia ; oral potentially malignant disorder ; risk stratification ; early oral cancer detection ; dentigerous cysts ; histopathology images ; image classification ; odontogenic keratocysts ; radicular cysts ; AI ; screening ; diagnosis ; dentistry ; ultrasonography ; tongue ; algorithm ; dysphagia ; impacted ; tooth ; detection ; neural networks ; proximal caries ; training strategy ; small dataset ; periapical radiograph ; X-ray ; tooth extraction ; oroantral fistula ; operative planning ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This reprint focuses on the mechanisms, modeling and controlling techniques of flash flood disasters, mainly in mountainous areas. Flash floods are among the most severe natural disasters, and the current publication will not only inspire future research but also enrich the current practice of flash flood disaster prevention and mitigation. This collection focusses on the engaged efforts in mitigating flash flood disasters, deepening the understanding of the causes of disasters in existing cases, finding appropriate modeling approaches, and implementing mitigation strategies. The readers will find within this reprint significant contributions for improving prevention and developing mitigation strategies, as well as protecting the safety of exposed populations.
    Keywords: flood monitoring ; forecasting ; hazard exposure ; emergency response ; Vaisigano River ; Samoa ; SWAT ; CMADS ; TRMM ; the Danjiang river basin ; flash flood ; bifurcation ; confluence ; shallow-water models ; flash-flood modelling system ; disaster mechanism ; runoff generation component ; disaster amplification effect ; economic losses from flood disasters ; flash flood disaster control ; Kaya identity ; LMDI technique decomposition method ; flood hazard ; morphometry ; PCA ; logistic regression ; Sinai ; Egypt ; grass coverage rate ; grass spatial arrangement patterns ; slope-gully system ; erosion ; debris flow ; lateral erosion ; strong earthquake area ; model experiment ; erosion pattern ; Tlalnepantla River ; flash floods ; hyetograph shape ; Hec Ras 2d ; Dorrigo diagram ; regionalization ; hydrological model ; hydrodynamic model ; disaster review analysis ; heavy rainfall in Henan ; periglacial debris flow ; southeast Tibet ; small sample imbalanced data ; prediction model ; random forest ; mountain torrents ; distributed hydrological model ; parameters regionalization ; machine learning ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    Taylor & Francis | Routledge
    Publication Date: 2024-01-30
    Description: This book engages in a constructive, practical debate on the nature and effects of uncertainty in global politics. International contributors explore the processes associated with different forms of uncertainty in the context of environmental issues, diplomacy and international negotiations, and conflict and security. From the collapse of the Soviet Union to the 1997 and 2008 financial crises to the Arab Uprisings and the European migrant crisis and the COVID-19 pandemic, assessments of many events with lasting consequences on the global order have begun with: “why didn’t we see this coming?” There is much to learn from how phenomena that affect the global order generate uncertainty and what effects such uncertainty has on actors and issues. Presenting perspectives from all corners of the discipline and emerging and established scholars the book provides an up-to-date overview of the state of the literature; a concise yet conceptually rich theoretical framework; a mix of regional and global contemporary issues; process-oriented empirical evidence and methodological tools to assess different forms of uncertainty and propose practical solutions to addressing uncertainty in diverse contexts. The book will be of interest to scholars of global politics, international security, global environmental politics, international organizations and institutions, social movements, and conflict studies.
    Keywords: COVID-19;climate change;conflict and security;diplomacy;elections;global politics;green finance;maritime boundaries;outer space;uncertainty ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: “Soft Computing and Machine Learning in Dam Engineering” is a comprehensive, edited Special Issue that explores the latest advances in the application of soft computing and machine learning techniques to dam engineering. This reprint covers a range of topics, including dam design, construction, monitoring, and maintenance, and provides readers with a deep understanding of the theoretical foundations and practical applications of these techniques.Featuring contributions from leading experts in the field, the reprint presents a collection of 11 papers that offer insights into state-of-the-art approaches in dam engineering. The chapters cover topics such as fuzzy logic, genetic algorithms, artificial neural networks, and support vector machines, and provide practical examples of how these techniques can be applied to solve real-world dam engineering problems.Whether you are a researcher, engineer, or student in the field of dam engineering, “Soft Computing and Machine Learning in Dam Engineering” provides a valuable resource for staying up-to-date with the latest techniques and approaches in the field.
    Keywords: dams ; Polynomial Chaos Expansion ; random fields ; random forest ; vibration analysis ; gravity dams ; safety assessment ; probabilistic analysis ; parameter uncertainty ; sample optimization ; variance-based sensitivity analysis ; sensitivity analysis ; polynomial chaos expansion ; uncertainty ; deep neural networks ; rockfill dams ; anomaly detection ; machine learning ; support vector machines ; one-class classification ; concrete dam ; machine learning methods ; structural behaviour ; model validation ; ice loads ; concrete dams ; back-calculation ; dam safety ; monitoring ; arch dams ; seismic safety ; endurance time analysis ; non-linear seismic analysis ; concrete damage model ; tensile and compressive damage ; design variable ; finite element ; feasibility design ; surrogate ; AutoML ; roller compacted concrete (RCC) ; risk-informed design ; Cascadia subduction zone (CSZ) ; non-linear structural analysis ; multilayer perceptron neural network model ; structural health monitoring ; threshold definition ; moving average of the residuals ; moving standard deviation of the residuals ; DBSCAN ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Taylor & Francis | Routledge
    Publication Date: 2024-01-30
    Description: With both domestic and external financing expected to dry up in the wake of the COVID-19 pandemic, this book argues that there is a need for fresh ideas and new strategies for achieving sustainable development in Africa. In addition to triggering the most severe recession in nearly a century, the COVID-19 pandemic has disrupted global value chains, causing unprecedented damage to healthcare systems, economies, and well-being, hitting the world’s most vulnerable people the hardest. Even before the pandemic, Africa was suffering from the effects of low commodity prices, sluggish GDP growth, high debt levels, low levels of domestic savings, and weak private capital inflows. This book argues that now, as the continent emerges from the current crisis, it will be important to reconfigure current financing sources under a forward-looking framework that incorporates other non-traditional financing tools and mechanisms such as public-private partnerships, sovereign wealth funds, gender lens investing, new growth drivers, and emerging and disruptive technologies. Finally, the book concludes by adopting a sectoral approach and examining the real economy impacts of new growth drivers such as agriculture value chains, industrialization, tourism, and the blue economy. Drawing on a range of original research as well as insights from practice, this book will be a useful guide for Global Development and African Studies researchers, as well as for policy makers, investors, finance specialists, and global business practitioners and entrepreneurs.
    Keywords: Africa, debt, financing sources, industrialization, sustainable development, tourism ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GT Interdisciplinary studies::GTF Development studies
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    Taylor & Francis | Diaspora Organizations in International Affairs | Routledge
    Publication Date: 2024-01-30
    Description: Since the start of the Syrian conflict in 2011, different types of Syrian-run organizations in Lebanon have been providing support and assistance to Syrian refugees. Whether in areas which are difficult for international providers to access, or in major towns and cities where international actors including the UN, INGOs and states have been providing assistance, Syrian diaspora organizations (DOs) have played a vital role. These DO initiatives have often taken the form of secular non-governmental organizations, or faith-based responses. At times, they have been actively funded by international donors or developed in formal partnership with UN agencies and INGOs, while in other contexts they have taken place on the margins of (or at times in ways that directly challenge) formal humanitarian aid structures. This chapter draws on lessons from anthropological, sociological, and IR studies, to construct a deeper understanding of secular and faith-based aid provision by members of displaced communities themselves in settings of the global South, which geographically (and geopolitically) neighbor new and ongoing crises. Based on long-standing research vis-à-vis local, national and international responses to displacement from Syria, it examines such endeavors through the framework of “refugee-led responses."
    Keywords: America, Capacities, Citizenship, Conflict, Development, Diaspora, Ghanian, International, Kurdish, Lebanon, Labour, Migrant, Navigating, networks, Pakistani, peacebuilding, Policy, Sociology, Syrian, Theory, Toronto, Transnational. ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPS International relations ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFS Social groups::JFSJ Gender studies, gender groups
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    Amsterdam University Press
    Publication Date: 2024-03-29
    Description: Development aid has become the subject of much discussion. Why do we give aid, and does it help? What do we know about the development paths being taken by various countries, or the possibilities of helping them to achieve their goals from outside? How relevant is development aid now that remittances and foreign direct investments have increased as a result of globalization? When does aid have more negative than positive effects? What is the significance of shifting power relations in the world? And do policies focusing on issues like climate, migration, financial stability, knowledge, trade and security not have a greater impact than aid on the development opportunities of poor countries? These questions inspired the Dutch Scientific Council for Government Policy (wrr) to examine what form development aid should take in the era of globalization. At the start of 2010, on the basis of over 500 interviews with experts and an extensive literature survey, the wrr presented its far-reaching recommendations. In October 2010, the new Dutch government decided to use the report as the basis of a thorough modernization of its development policy. This book is based on the wrr report. It builds on the many responses to the report, resulting in more elaboration on specific lines of reasoning, coverage of new themes and more comprehensive analyses, without changing the core of the original report. This title is available in the OAPEN Library - http://www.oapen.org.
    Keywords: Political Science ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics
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    Publication Date: 2023-11-16
    Description: This open access book explores the intersection of property law, relocation, and resettlement processes in the United States and among communities that grapple with migration as an adaptation strategy. As communities face the prospect of relocating because of rising seas, policy makers, disaster specialists, and community leaders are scrambling to understand what adaptation pathways are legally possible. While in its ideal application, law functions blindly and without variation, the authors find that legal contradictions come to bear on resettlement processes and place certain communities further in harm’s way. This book will unearth these contradictions in order to understand why successful community-based resettlement has presented such a challenge to communities that are experiencing increasing land deterioration as a result of climate change.
    Keywords: Environmental politics ; Property Law ; Migration ; United States ; Relocation ; Resettlement ; Climate Change ; Climate justice ; Adaptation ; Climate disaster ; Community-based resettlement ; Land deterioration ; Policy ; Emergency management ; Public administration ; Disaster ; Emergencies ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration ; bic Book Industry Communication::L Law::LA Jurisprudence & general issues::LAF Systems of law::LAFD Civil codes / Civil law ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
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    Boydell & Brewer | James Currey an imprint of Boydell & Brewer
    Publication Date: 2024-03-29
    Description: No country has managed to develop beyond a subsistence economy without ensuring at least minimum access to electricity for the majority of its population. Yet many sub-Saharan African countries struggle to meet demand. Why is this, and what can be done to reduce energy poverty and further Africa's development? Examining the politics and processes surrounding electricity infrastructure, provision and reform, the author provides an overview of historical andcontemporary debates about access in the sub-continent, and explores the shifting role and influence of national governments and of multilateral agencies in energy reform decisions. He describes a challenging political environment for electricity supply, with African governments becoming increasingly frustrated with the rules and the processes of multilateral donors. Civil society also began to question reform choices, and governments in turn looked to new development partners, such as China, to chart a fresh path of energy transformation. Drawing on over fifteen years of research on Uganda, which has one of the lowest levels of access to electricity in Africa and has struggled to construct several, large hydroelectric dams on the Nile, Gore argues that there is a critical need to recognize how the changing political and social context in African countries, and globally, has affected the capacity to fulfil national energy goals, minimize energy poverty and transform economies.
    Keywords: Political Science ; African Studies ; Engineering ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering::THRB Power generation & distribution ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THY Energy, power generation, distribution and storage
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
    Keywords: grape varieties identification ; Support Vector Machine (SVM) ; Convolutional Neural Network (CNN) ; deep feature fusion ; Canonical Correlation Analysis (CCA) ; smart machinery ; digital agriculture ; Chinese agricultural diseases and pests ; named entity recognition ; adversarial training ; semantic enhancement ; technology innovation ; food processing ; transition pathways ; sustainable food systems ; transformation ; smart farming ; IoT ; WSN ; containerization ; multi-agent ; neural network ; LSTM ; leisure agricultural park ; traveler group ; COVID-19 pandemic ; fuzzy collaborative intelligence ; machine vision ; maize seeds ; classification ; deep learning ; convolutional neural network ; decision support systems ; agricultural water management ; water security ; data-driven modeling ; conceptual resilience model ; input uncertainty ; climate extreme ; process-based modeling ; vehicle routing problem ; fresh agricultural products ; split delivery ; NSGA-II algorithm ; farm management information system ; farmers’ information needs assessment ; soft system methodology ; smallholder farmers ; conceptual model ; Indonesian chili farmers ; residual block ; attention mechanism ; grape leaf disease ; aquatic products price forecast ; VMD ; IBES ; hybrid model ; precision agriculture ; sensor network ; semi-literate farmers ; interactive interface ; User Interface (UI) ; Android apps ; machine learning ; regression algorithms ; web application ; early prediction of crop yield ; grape detection ; self-attention ; buffalo breeds ; Neural Networks ; Self Activated CNN ; DeepLabv3+ ; semantic segmentation ; picking point identification ; e-commerce interest linkage ; participation willingness and behaviors ; government policies ; farmers’ cognition ; evolutionary game model ; structural equation model ; object detection ; YOLOv7 ; hemp duck count ; smart agriculture ; LoRaWAN ; water status ; supply chain ; horticulture ; logistics ; operations ; planning framework ; decision support ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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    Publication Date: 2024-03-29
    Description: This open access book examines security and protection within Israel and Palestine, analyzing national and international security strategies that apply to the protection of civilians. The author examines the principles, practices and the perception of protection. Focusing on protection strategies and practices in the Israeli-Palestinian conflict, this book reveals some of the myths and enigmas of national and international protection of civilians. The book moves beyond the current lack of protection strategies to discuss more effective human security focused on prioritizing protection of civilians, use of alternative tools such as community policing and inclusive protection.
    Keywords: Israel ; Palestine ; Middle East ; International Protection ; National Protection ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint brings together fifteen articles published in the Special Issue of the journal Atmosphere, entitled “High-Performance Computing Serving Atmospheric Transport & Dispersion Modelling”. These articles cover a wide variety of topics related to air quality in urban areas and nature-based solutions to improve it in the context of climate change; impact studies on human health and the environment of facilities and infrastructure projects as well as risk studies; the assessment of emerging threats; and preparations for and responses to emergencies involving toxic, flammable, or explosive atmospheric releases. As the fifteen articles presented here remarkably illustrate, what these contemporary topics have in common is the implementation of multi-scale simulations of atmospheric transport and dispersion by means of physical models of computational fluid dynamics (CFDs), whose potential is enhanced by high-performance computing (HPC). This reprint thus addresses the answers provided by modelling and the most advanced simulations to some societal matters of major interest.
    Keywords: operational emergency modeling ; atmospheric release ; high-resolution metric grid ; 3D ; PMSS modeling system ; Code_Saturne ; EMERGENCIES project ; lattice Boltzmann method ; large eddy simulation ; pollutant dispersion ; urban physics ; urban air pollution ; nature-based solutions ; green infrastructure ; PMSS Lagrangian model ; NOx ; PM10 ; large-eddy simulation ; plume dispersion ; urban area ; coupling simulation ; mesoscale meteorological simulation model ; meteorological observation ; graphics processing unit computing ; atmospheric dispersion modelling ; microscale dispersion ; model validation ; database ; on-site meteorological observation ; water mist dispersion ; lagrangian dispersion model ; web visualization ; web mapping ; emergencies project ; atmospheric boundary layer ; OpenFOAM ; gas dispersion ; CFD ; turbulence model ; hazard assessment ; horizontal homogeneity ; wind field ; deposition ; machine learning ; hazardous release ; WRF ; FLEXPART ; prediction ; air pollution ; air quality modelling ; ADMS-Urban ; high performance computing ; HPC ; West Midlands ; air quality ; urban scale ; traffic emissions ; micro-scale dispersion models ; aerosols ; South Asia ; WRF-Chem ; precipitation ; CAPE ; CIN ; urban dispersion ; complex terrain ; fast-response dispersion modeling ; computational fluid dynamics ; RANS ; urban dispersion modelling ; Reynolds-averaged Navier–Stokes ; situational awareness ; CityGML ; air quality impact study ; PMSS model ; high resolution grid ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.
    Keywords: Saint-Venant equations ; finite difference method ; parallel computing ; heterogeneous computing ; deep learning ; image enhancement ; mineral identification ; convolutional neural networks ; BERT ; named entity recognition ; geological news ; CRF ; semantic segmentation ; PSPNet ; landslide ; submarine landslide ; machine learning ; hazard susceptibility ; spatial distribution ; ZTEM ; 2D forward modeling ; inversion ; parallel algorithm ; tipper ; disaster precursor identification ; early warning ; association rule mining ; particle swarm optimization ; k-means clustering ; Apriori algorithm ; gray relation analysis ; transformer ; photovoltaic power forecasting ; satellite images ; LICOM ; meteorological model ; parallel optimization ; time series ; missing data ; tensor completion ; autoregressive norm ; displacement prediction ; GeoMAN model ; gross primary productivity ; attention mechanism ; interdisciplinary ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Global climate changes, particularly extreme events, affect terrestrial carbon, water, and energy exchanges between the atmosphere, biosphere, and lithosphere, thus controlling freshwater availability, floods, and droughts. Therefore, it is urgent and necessary to develop advanced climate simulation and observation approaches and models related to extreme climate events. Advanced climate simulation and observation can improve the accurate prediction of climate change and long-term trends, which can mitigate climate events' impacts on human society. Under these conditions, this reprint aims to introduce advanced climate simulation and observation approaches to various practical studies related to climate variations, including the global climate models (GCMs) and regional climate models (RCMs), mitigation studies of high-impact climate events, predictions of climate variations, and some new artificial intelligence. Twenty-two papers have been collected in this reprint, with eight original research articles reporting on climate change and six papers reporting on climate change's impact on society and the economy. Meanwhile, three papers reported climate change's impact on agriculture, and climate change's impact on human health was studied in five articles.
    Keywords: hydrological modeling ; gridded datasets ; sensitivity analysis ; water balance ; snowmelt ; SWAT ; Upper Vakhsh River Basin ; economic loss prediction ; machine learning ; input-output model ; flooding ; regional climate model ; RegCM4.5 ; western Tianshan Mountains ; parameterization scheme ; air quality satisfaction ; quality of life ; binomial logistic regression ; health utility value ; experienced utility ; elevated [CO2] ; warming ; SPAD ; leaf nitrogen monitoring ; nitrogen management ; Issyk-Kul ; accumulated temperature ; yield per unit area of beans ; climate change ; panel spatial error model ; air pollution ; respiratory disease ; generalized additive model ; scenario analysis ; assessment of economic losses ; arid climate ; geothermal energy ; underground temperature ; greenhouse ; heat exchanger ; agricultural air pollution ; labor migration ; mediation effect ; income effect ; economy of scale ; collective effect ; haze pollution ; scale effect ; special spillover effect ; urban population agglomeration ; AQI ; visual analysis ; heat map ; ARIMA model ; neural network model ; pulmonary tuberculosis ; penalized distributed lag non-linear model ; meteorological factors ; apparent temperature ; cumulative risk ; HDI ; decoupling index ; carbon emission performance ; LMDI ; 10 m wind speed ; cumulus parameterization schemes ; sensitivity of physical processes ; WRF ; mainland China ; environmental regulation ; green innovation efficiency ; SBM of super-efficiency ; system GMM estimation ; model evaluation ; rainfall simulation ; interannual variation ; IAP-AGCM ; Thailand ; China ; environmental Kuznets curve ; geographically weighted regression ; haze ; spatial heterogeneity ; air pollutants ; sustained exposure to pollution ; respiratory and cardiovascular diseases ; CiteSpace ; co-occurrence keywords ; burst words ; mountain-type zoonotic visceral leishmaniasis ; climate variables ; environmental variables ; ecological niche model ; transmission risk prediction ; drought ; cropland ; CMIP6 ; exposure ; scPDSI ; weather radar nowcasting ; generative adversarial network (GAN) ; Temporal and Spatial GAN (TSGAN) ; heavy precipitation ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: We are living in an age of digital transformation, where internet connectivity is totally transparent for end users. Since the development of internet of things technologies and artificial intelligence algorithms, we have also been experiencing new business models and applications. In Ubiquitous and Pervasive Computing - New Trends and Opportunities, novel concepts and applications in this area are described, and the expectations and challenges of the next ten years are discussed. Individual chapters focus on data science, the internet of things, big data, Industry 4.0, high-performance computing, intelligent applications, and cloud computing environments.
    Keywords: machine learning ; fog computing ; iot ; cloud computing ; healthcare ; security ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.
    Keywords: abnormal gait behavior ; OpenPose ; machine learning ; XGBoost ; random forest ; horse locomotion ; training effect ; inertial measurement units ; sports technology ; football ; motion analysis ; IMU ; trajectory reconstruction ; human-computer interactive ; data glove ; virtual hand ; emotion driven ; test ; visual tracking ; Siamese tracker ; tracking drift ; background clutter ; deep learning ; surgical skills assessment ; computer vision ; surgical education ; biomedical engineering ; multi-modal ; human activity recognition ; markerless ; RGB-D ; general movements ; infant movement analysis ; movement disorders ; surface electromyography ; forearm amputee ; hand posture ; visual feedback training ; pattern recognition ; artificial neural network ; hand gesture recognition ; electromyography ; inertial measurement unit ; reinforcement learning ; deep Q-network ; extreme learning machine ; force myography ; grasshopper optimization algorithm ; k-tournament selection ; frequency emphasis ; ensemble learning ; sign language recognition ; gloss prediction ; transformer ; pose-based approach ; pose estimation ; emotion judgment system ; adaptive interactive game ; set of optimal signal features ; sensor ; MARG ; MIMU ; orientation estimation ; sensor fusion algorithm ; dataset ; orientation algorithm benchmarking ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Taylor & Francis | The Routledge Handbook Of Parliamentary Administrations | Routledge
    Publication Date: 2024-03-29
    Description: The idea of “parliamentary administration” might appear, at first sight, like an oxymoron: parliaments are the domain of politicians, the elected representatives of the people, whereas administrations are commonly understood as the executive bureaucracies carrying out the tasks of governments. The historical development of parliamentary administrations has taken different forms in different countries, making it difficult to generalize. The most delicate issue regarding parliamentary administrations concerns the nature of the activity they perform. The comparative analysis of the data contained in the various country-specific chapters demonstrates several commonalities and differences in relation to certain fundamental organizational and functional options of parliamentary administrations. The very first observation in this context concerns the size of parliamentary administrations. A second dimension of framing the distinctive features of parliamentary administrations is the degree of budgetary autonomy. Looking more closely at recent developments, a number of contemporary challenges can be identified that parliamentary administrations have had to confront in the 21st century.
    Keywords: EU; parliamentary administrations; governance; legislative studies; Europeanisation; democracy; parliamentary democracies; parliament; European Union; administrations; Europeanization ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics
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    Taylor & Francis | The Fight Against Child Trafficking | Routledge
    Publication Date: 2024-03-29
    Description: child trafficking; human trafficking; trafficking; anti-trafficking policies; EU-ASEAN; ASEAN; Human Rights; governance
    Keywords: child trafficking; human trafficking; trafficking; anti-trafficking policies; EU-ASEAN; ASEAN; Human Rights; governance ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPV Political control & freedoms::JPVH Human rights ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNM Family law::LNMK Family law: children ; bic Book Industry Communication::L Law::LB International law ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPV Political control and freedoms::JPVH Human rights, civil rights ; thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNM Family law::LNMK Family law: children ; thema EDItEUR::L Law::LB International law
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.
    Keywords: structure-based drug discovery ; ligand binding sites ; deep learning ; graph neural network ; CRISPR/Cas9 ; genome editing ; machine learning ; SHAP values ; binding energy ; off-targets ; drug discovery ; retrosynthesis ; reaction template ; recurrent neural network ; and graph neural network ; mutational signatures ; smoking ; lung cancers ; APOBEC ; immune response to smoking ; cell-type composition ; goblet cells ; ciliated cells ; basal cells ; Protein Data Bank ; Open Access ; Worldwide Protein Data Bank ; macromolecular crystallography ; cryogenic electron microscopy ; cryogenic electron tomography ; electron crystallography ; micro-electron diffraction ; nuclear magnetic resonance spectroscopy ; biological macromolecules ; proteins ; nucleic acids ; DNA ; RNA ; carbohydrates ; small-molecule ligands ; social determinants of health ; electronic health records ; real-world evidence ; census tract ; data science ; protein database ; search tool ; prioritization algorithm ; drug repositioning ; quantum machine learning ; quantum metric learning ; kernel method ; kernel classifiers ; structural bioinformatics ; function annotation ; specificity annotation ; MSA ; entropy ; variability ; amino acids ; Philip Bourne ; FAIR ; bioinformatics ; n/a ; protein kinases ; functional families ; KinFams ; KinBase classification ; large language models ; pharmacovigilance ; social media ; drugs of abuse ; DNA sequencing ; read classification ; metagenomics ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This reprint contains a series of articles and reviews that illustrate the state-of-the-art knowledge about Gamma Ray Bursts and provide deep insights on the challenges that will be faced in GRB physics in the next decade.
    Keywords: gamma rays bursts ; radiation mechanisms ; non-thermal ; quark matter ; up-down quark nuggets ; quark star crusts ; white dwarfs ; gamma ray bursts ; fireball model ; circularity problem ; standard candles ; calibration ; dark energy ; dark matter ; cosmography ; cosmological parameters ; Gamma-ray bursts ; massive stars ; supernova ; spectroscopy ; binary stars ; metallicity ; rotation rate ; gamma-ray bursts ; polarization ; jet structure ; instruments & methods ; GRB ; radio ; redshift evolution ; instrumentation—detectors ; gamma rays: general ; gamma-ray bursts: general ; gamma-ray burst ; gravitational wave ; neutron stars ; magnetosphere ; shock breakout ; SVOM (Space-based multiband astronomical Variable Objects Monitor) ; time-domain astronomy ; γ-ray burst ; multi-messenger astrophysics ; nano-satellites ; supernovae ; Ia ; cosmology ; Hubble ; tension ; ΛCDM ; evolution ; modified ; gravity ; theories ; prompt emission ; relativistic jets ; gamma–rays: bursts ; cosmology: early universe ; multi-messenger astrophysics: gravitational waves ; neutrinos ; instrumentation: X/gamma–ray astrophysics from space ; fundamental physics ; non-thermal processes ; Cherenkov telescopes ; very high energy ; IACTs ; clustering ; statistical analysis ; feature extraction ; machine learning ; gamma-ray burst: general ; relativistic processes ; magnetohydrodynamics ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics ; thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time
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    Temple University Press
    Publication Date: 2024-03-29
    Description: The 2015 Affirmatively Furthering Fair Housing Rule was the most significant federal effort to increase equality of access to place-based resources and opportunities, such as high-performing schools or access to jobs, since the 1968 Fair Housing Act. However, in an effort to appeal to suburban voters, the Trump administration repealed the rule in 2020, leaving its future in doubt. Furthering Fair Housing analyzes multiple dimensions of this rule, identifying failures of past efforts to increase housing choice, exploring how the AFFH Rule was crafted, measuring the initial effects of the rule before its rescission, and examining its interaction with other contemporary housing issues, such as affordability, gentrification, anti-displacement, and zoning policies. The editors and contributors to this volume-a mix of civil rights advocates, policymakers, and public officials-provide critical perspectives and identify promising new directions for future policies and practices. Placing the history of fair housing in the context of the centuries-long struggle for racial equity, Furthering Fair Housing shows how this policy can be revived and enhanced to advance racial equity in America's neighborhoods.
    Keywords: Political Science ; Public Policy & Administration ; Urban Studies ; Sociology ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RP Regional & area planning::RPC Urban & municipal planning ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RP Regional and area planning::RPC Urban and municipal planning and policy
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    Taylor & Francis | Routledge
    Publication Date: 2024-03-29
    Description: The Routledge Handbook of Parliamentary Administrations brings together an international, multidisciplinary group of contributors providing a systematic and comprehensive analysis of parliamentary administrations. Including chapters on the administrations of national parliaments in every member state of the European Union, in most of the EU candidate countries and in key liberal democracies around the world, this book represents a uniquely broad-ranging resource. Each national system is treated in a consistent manner, with authors providing relevant facts, figures and critical analysis according to a common framework. Additionally, it provides coverage of transnational parliamentary administrations in different regions around the globe and includes a number of cross-cutting chapters, addressing key issues of relevance for a better understanding of parliamentary administrations such as the potential for politicisation, professionalisation, digitalisation or Europeanisation with the comparative analysis of different national experiences. This handbook will enable readers to better comprehend the role and influence of parliamentary administrations and in doing so will enhance our understanding of their importance for the effective functioning of representative democracy more generally. The Routledge Handbook of Parliamentary Administrations constitutes a unique tool and prime reference for any researcher, scholar or practitioner working in the area of parliamentary and legislative studies, governance, democracy, public policy and administration, as well as more widely to European studies, general political science and comparative politics.
    Keywords: EU; parliamentary administrations; governance; legislative studies; Europeanisation; democracy; parliamentary democracies; parliament; European Union; administrations; Europeanization ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics ; thema EDItEUR::J Society and Social Sciences::JP Politics and government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Mangrove forests are in constant flux due to both natural and anthropogenic forces. The changing mangroves will have significant consequences to coastal communities. Observation and monitoring of the distribution and dynamics of mangroves is central to a wide range of scientific investigations conducted in both terrestrial and marine ecosystems. Recent advancements in remote sensing data availability, image-processing methodologies, computing and information technology, and human resource development have provided an opportunity to observe and monitor mangroves from local to global scales on a regular basis. The spectral, spatial, and temporal resolution of remote sensing data and their availability have improved, making it possible to observe and monitor mangroves with unprecedented spatial thematic and temporal details. This journal Remote Sensing Special Issue reprint dedicated to the observation and monitoring of mangroves using remote sensing from local to global scales. The Issue broadly covers the application of remote sensing using optical (multi-spectral and hyperspectral), radar, and Lidar data obtained from multiple platforms including ground, air, and space. The research papers published use the latest techniques to acquire, manage, exploit, process, and analyze a wide variety of remote sensing data for mangrove forest applications. Both research papers and innovative review papers are included.
    Keywords: mangrove ; natural recovery ; artificial neural network ; Sentinel-2 ; transfer learning ; change detection ; coastal region ; remote sensing ; fragmentation ; productivity ; land cover change ; mangrove ecosystem ; random forest (RF) ; Google Earth Engine (GEE) ; Sentinel ; synthetic aperture radar (SAR) ; optical ; aerial roots ; global sensitivity analysis ; PAWN ; canopy reflectance model ; vegetation index (VI) ; mangroves ; Landsat ; mangrove forests ; time series ; Google Earth Engine ; random forests ; phenology ; TIMESAT ; climate ; monitoring ; Great Barrier Reef ; Hainan Island ; CLUE-S ; spatio-temporal simulation ; future change trends ; mangrove species ; spectrometer ; spectral reflectance ; WorldView-2 ; dendrogram ; extent ; mapping ; sentinel-2 ; global mangrove watch ; remote sensing-based monitoring ; plantation ; restoration ; dieback ; Bay of Bengal ; Red River Delta ; Vietnam ; vegetation index ; mangrove index ; mangrove forest ; mangrove above ground ; biomass ; carbon sink ; bibliometric analysis ; Sembilang National Park (Indonesia) ; machine learning ; satellites images ; geoprocessing ; rehabilitation program of mangroves ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Our era is characterized by two major phenomena. On the one hand, we are confronted by climate and environmental crises constituted by, among others, changing weather patterns, loss of biodiversity and natural wildlife, and ecosystem degradation. On the other hand, we are experiencing an ongoing technological evolution culminating in the rise of artificial intelligence (AI). The popular notion of “AI for Sustainability” constitutes an attempt to connect these two phenomena in a beneficial way by using AI to alleviate climate and environmental worries. AI is increasingly being used in the analysis, mitigation, and prevention of the climate and environmental crises and their effects. Much less attention has been paid to the idea of the “Sustainability of AI”, which focusses on the materiality of AI technologies themselves. Indeed, what are the hidden costs of AI? Although we use AI in combatting the climate and environmental crises, does it not have its own contributions to these crises? And, if so, how do we account for these contributions? The Special Issue is the first attempt to address the topic of “Sustainable AI” from a multi-disciplinary perspective. The authors that contributed to this issue come from diverse fields such as philosophy, ethics, sociology, law, and engineering. The included papers represent the first steps in understanding what it means to tackle the climate and environmental crises with AI while refraining from aggravating these crises.
    Keywords: artificial intelligence ; Sustainable Development Goals ; ESG ; CSR ; reporting ; disclosure ; sustainability ; sustainable AI ; greenwashing ; unfair commercial practices ; AI Act ; digitalization ; sustainable digitalization ; sustainable development ; SDGs ; Assessment Framework ; mindful ; digital age ; digitainability ; digital technologies ; qualitative research ; environmental impact ; carboncentric ; technocentric ; surrogate-based optimisation ; surrogate model ; sequential model-based optimisation ; Bayesian optimisation ; Green AI ; machine learning ; intergenerational justice ; future generations ; policy-making ; explainability ; transparency ; AI ; AI governance ; ethics ; ethical AI ; differential privacy ; AI certification ; ethics of AI ; AI ethics ; checklist ethics ; ethics of carefulness ; ethics of desirability ; climate justice ; infrastructure ; climate change ; nudging ; digital nudging ; libertarian paternalism ; autonomy ; carbon footprint ; LCA ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This reprint covers the following topics in the field of smart grids: 1. Optimal dg location and sizing to minimize losses and improve the voltage profile using garra rufa optimization. 2. Solar and wind energy forecasting for the green and intelligent migration of traditional energy sources. 3. Optimized micro-grid’s operation with electrical-vehicle-based hybridized sustainable algorithm. 4. The detection of nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks. 5. A hybrid deep-learning-based model for the detection of electricity losses using big data in power systems. 6. Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology. 7. Line overload alleviations in wind energy integrated power systems using automatic generation control. 8. Electric price and load forecasting using a CNN-based ensembler in a smart grid. 9. Day-ahead energy forecasting in a smart grid considering the demand response and microgrids. 10. A dragonfly optimization algorithm for extracting the maximum power of grid-interfaced pv systems. 11. An economic load dispatch problem with multiple fuels and valve point effects using a hybrid genetic–artificial fish swarm algorithm. 12. Incentive-based dynamic pricing in a smart grid.
    Keywords: demand side management ; demand response ; load scheduling ; real time pricing ; genetic algorithm ; dynamic incentives ; artificial fish swarm algorithm ; economic load dispatch ; hybrid genetic–artificial fish swarm algorithm ; multi-objective optimization ; sustainable power generating system ; photovoltaic (PV) ; partial shading ; maximum power point tracking (MPPT) ; dragonfly optimization algorithm (DOA) ; adaptive cuckoo search optimization (ACSO) ; fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN) ; improved particle swarm optimization (IPSO) ; voltage source inverter (VSI) ; total harmonic distortion (THD) ; energy optimization ; day ahead energy prediction ; artificial neural network ; renewable energy sources ; microgrid ; smart grid ; electricity price forecasting ; energy management ; electricity load forecasting ; convolutional neural network ; corona virus herd immunity optimization ; sustainable cities ; requirement-gathering tool ; qualitative comparison ; requirement engineering ; software engineering ; requirement-management tools ; automatic generation control ; wind energy ; transmission line security ; dispatch strategies ; Pakistan power system ; PI-PD controller ; load frequency control ; automatic voltage regulator ; nature-inspired optimization ; multi-area interconnected power system ; class imbalance ; gated recurrent units ; electricity theft detection ; non-technical losses ; smart grids ; deep learning ; GRU ; healthcare ; MLP ; PRECON ; smart cities ; smart meters ; sustainable society ; electric vehicles ; flexible load ; optimization ; renewable energy ; forecasting ; machine learning ; energy efficiency ; sustainability ; low carbon emission ; distribution generation ; Garra Rufa ptimization ; PSO ; GA ; power system ; urban sustainability ; local growth ; regional cities ; cultural heritage ; real estate ; intelligent regions ; innovation systems ; circular economy ; regional policies ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Floods are one of the most common natural hazards that substantially affect human lives and properties globally. Engineering is of key importance to cope with flood risk as it provides integrated solutions associated with hydrological–hydraulic and coastal-advanced techniques for analysing flooding risk, for designing flood infrastructures for direct protection, for providing natural retention measures that enhance environmental and river restoration, for developing flood warning systems, and for presenting integrated construction and non-construction measures in order to adapt to emerging climatic challenges and develop resilience under the modern city environment.This Special Issue highlights the current efforts being made to advance the science and applications in flood engineering and, more specifically, in a wide spectrum of its related geosciences, such as hydrology, hydraulics, sedimentation, and river restoration.
    Keywords: ombrian curves ; intensity–duration–frequency curves ; rainfall extremes ; regionalization ; regional frequency analysis ; spatial rainfall ; design rainfall ; IANOS ; medicane ; Karditsa ; HEC-HMS ; HEC-RAS ; remote sensing ; SENTINEL ; machine learning ; sewer model ; LSTM neural network ; urban sewer flooding ; flood exposure ; geospatial analysis ; open-access data ; infrastructure ; forensic hydrology ; flood modeling ; open dataset ; MIKE FLOOD ; Eastern Uganda ; flood plains ; flood hazard maps ; return period ; SWAT ; dams ; numerical simulations ; physical modeling ; water management ; wetlands ; nature-based solutions ; flood mitigation ; coastal flooding ; tidal watersheds ; compound flooding ; D-vine copula ; trivariate joint analysis ; Bernstein estimator ; beta kernel estimator ; parametric copulas ; kernel density estimation ; return periods ; extreme rainfall ; default urban fraction ; Kampala ; urban parameter ; updated urban fraction ; WRF model ; ensemble empirical mode decomposition (EEMD) ; flood period ; tidal river ; water level forecasting ; hydraulic simulation ; flood maps ; digital elevation model ; random forests ; UAV mapping ; DEM sensitivity ; DEM errors ; flood extent ; flood risk assessment ; numerical modelling ; storm surge ; sea level elevation ; inundation maps ; Manning coefficient ; raster grid ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    University of Michigan Press
    Publication Date: 2023-10-05
    Description: Why did enduring traditions of economic and political liberty emerge in Western Europe and not elsewhere? Representative democracy, constitutionalism, and the rule of law are crucial for establishing a just and prosperous society, which we usually treat as the fruits of the Renaissance and Enlightenment, as Western European societies put the Dark Ages behind them. In The Medieval Constitution of Liberty, Salter and Young point instead to the constitutional order that characterized the High Middle Ages. They provide a historical account of how this constitutional order evolved following the fall of the Western Roman Empire. This account runs from the settlements of militarized Germanic elites within the imperial frontiers, to the host of successor kingdoms in the sixth and seventh centuries, and through the short-lived Carolingian empire of the late eighth and ninth centuries and the so-called "feudal anarchy" that followed its demise. Given this unique historical backdrop, Salter and Young consider the resulting structures of political property rights. They argue that the historical reality approximated a constitutional ideal type, which they term polycentric sovereignty. Salter and Young provide a theoretical analysis of polycentric sovereignty, arguing that bargains between political property rights holders within that sort of constitutional order will lead to improvements in governance.
    Keywords: Political Science ; European Studies ; History ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPH Political structure & processes::JPHC Constitution: government & the state ; bic Book Industry Communication::H Humanities::HB History::HBJ Regional & national history::HBJD European history
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    Springer Nature | Springer Nature Singapore
    Publication Date: 2023-04-18
    Description: This open access book, comprising thirty-nine chapters divided into social, cultural, economic, and political spheres, offers a unique opportunity to dive into the complex, dynamic, and sometimes contradictory transformation of Gulf societies in the last few decades. Whilst the Gulf region has at times been seen as impervious to this natural phenomenon of transformation—timeless, never changing, deeply rooted in its ancient tribal customs and traditions and able to blend past and present seamlessly without suffering the wrenching trauma of change—this is clearly not the case, and the region is not immune to the inevitable forces of social change. There is no doubt today that the social change sweeping the Gulf has been profound, affecting almost every aspect of life in the Gulf societies. This volume has an encyclopedic value as the chapters collectively offer multifaceted and multidisciplinary perspectives to understand social change in the Gulf region. Through these chapters, the role of economic and educational transformation, and the impact of social media, migration, and urbanization have in driving social change in the Gulf societies is examined in detail with a focus on their directions, magnitudes, and relevant policy options. It also considers how COVID-19 is affecting the lives of the people in the Gulf. This book bridges gaps in the understanding of the rapid pace of social change in the Gulf, offering practical solutions for policy interventions. It is of interest to scholars and students in Middle Eastern studies, specifically, as well as sociology, media studies, migration studies, and educational policy. ; This book focuses on the role of economic transformation, education, social media, migration, and urbanization in engaging social change in the Gulf societies, with a focus on their directions, magnitudes, and relevant policy options. It also takes into account how COVID-19 is affecting the lives of the people in the Gulf. Over the last few decades, the Gulf countries have undergone profound social change - generally understood as changes in human interactions and relationships that transform cultural and social institutions - affecting almost every aspect of life in GCC societies. The volume considers how the Gulf countries have achieved success in the education sector, and also examine the changes in conservative attitudes towards female education, as the enrolment of women in higher education is increasing steadily across the Gulf. It also unpacks the social impact of technology, as satellite television and the Internet have dramatically expanded exposure to outside views. Access to social media has similarly proved a powerful force for social transformation. The Gulf states now account for the world’s largest flow of South-South migration, and the growth of the non-national population, as well as rapid urbanization, have also had a profound impact on Gulf society. This volume thus attempts to bridge gaps in understanding the rapid social change in the Gulf, offering practical solutions for policy interventions. It is of interest to scholars and students in Middle Eastern studies, specifically, as well as sociology, media studies, migration studies and educational policy.
    Keywords: Gulf Societies ; Gulf Studies ; Social Change ; Middle East ; Economic Transformation ; Education and Social Change ; Migration and Social Change ; Media and Social Change ; Urbanization ; bic Book Industry Communication::J Society & social sciences ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFN Migration, immigration & emigration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::J Society & social sciences::JN Education ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFD Media studies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains 33 articles accepted and published in the Special Issue entitled “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022” in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.
    Keywords: head detection ; YoloV4 ; NMS ; soft-NMS ; people counting ; vehicle re-identification ; license plate recognition ; video surveillance ; feature extraction ; pedestrian detection ; machine learning ; end-to-end ; anchor-free ; feature reuse ; correlation filters ; second-order fitting ; visual tracking ; DCNN-BiLSTM ; domain adaptation ; MMD ; fine-tuning ; C-MAPSS ; cross-working ; small sample ; blind image deblurring ; image prior ; sparse channel ; sparsity ; multi-output ; kNN ; metric learning ; cost-weighted ; geometric mean metric ; motion deblurring ; image super-resolution ; multi-order attention ; gated learning ; decoupling ; face recognition ; second-order gradient ; image gradient orientations ; collaborative-representation-based classification ; image aesthetic assessment ; semi-supervised learning ; label propagation ; deep learning ; computer vision ; garbage quantity identification ; YOLOX ; Soft-NMS ; stability ; switched system ; state-dependent switching ; time delay ; multi-source domain adaptation ; Dempster–Shafer evidence theory ; cross-domain classification ; 3D reconstruction ; multi-view stereo ; structure from motion ; background matting ; adversarial example ; feature transformation ; black-box attack ; ensemble attack ; deep neural network ; intelligent design ; data analysis ; models and algorithms ; extension theory ; scheme design ; adversarial learning ; adversarial equilibrium ; transferability quantification ; power load forecasting ; routing, modulation and spectrum assignment ; elastic optical networks ; deep reinforcement learning ; knowledge distillation ; aspect-based sentiment analysis ; graph neural networks ; dependency trees ; dependency types ; graph attention mechanism ; syntactic ; semantic ; vehicle color recognition ; low–high level joint task ; object detection ; joint semantic learning ; rainy image recovery ; XSS attack ; traffic detection ; payloads ; fusion verification ; hypergraph matching ; similarity metric ; information-theoretic metric learning ; mixed noise removal ; matrix nuclear norm ; logarithm norm ; ADMM ; plug-and-play ; aspect-level sentiment classification ; external knowledge ; KGE ; GCN ; discriminative feature learning ; multidimensional scaling ; fuzzy k-means ; pairwise constraint propagation ; iterative majorization algorithm ; Aspect Level Sentiment Classification ; Contrasitve Learning ; Graph Convolutional Networks ; graph convolutional networks ; commonsense knowledge graph ; anomaly detection ; cyber–physical ; industrial control systems ; image classification ; large-margin technique ; robustness ; anti-noise performance ; cross-domain sentiment classification ; word embedding ; GAT ; hate speech detection ; contrastive learning ; multi-task learning ; attention mechanism ; state reconstruction ; gait adjustment ; uncertain temporal knowledge graph ; temporal knowledge graph ; knowledge graph embedding ; confidence score ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Catalytic oxidation or reduction processes are among the most efficient processes for water and wastewater treatment. These include photocatalysis, sulfate and hydroxyl-radical-based advanced oxidation processes.This Special Issue contains the contributions of different research groups and discusses the recent progress and advances in catalytic processes in water and wastewater treatment.
    Keywords: photocatalytic degradation ; graphene quantum dots ; nanocomposites ; free radical generation ; post-processing modification ; surface-engineered biochar ; dye removal ; machine learning ; artificial neural network ; photocatalysis ; sodium persulfate ; antibiotics ; water treatment ; hybrid system ; water matrix ; MTBE ; arsenic ; Fe2O3/MgO catalyst ; AOP ; modeling ; optimization ; Auramine O ; basic dye ; titania nanoparticle ; mechanism ; CuS nanostructures ; heterojunctions ; organic pollutants ; wastewater treatment ; water purification ; ZnO nanostructures ; hydrothermal synthesis ; seedless ; building materials ; synthetic dyes ; anionic–anionic co-doping ; BaTiO3 ; Heyd–Scuseria–Ernzerhof (HSE06) ; photocatalytic water splitting ; TiO2 ; photocatalysts ; photodegradation ; methylene blue ; methyl green ; g-C3N4 ; pharmaceuticals ; amisulpride ; reactive species ; transformation products ; ecotoxicity ; biochar ; sulfamethoxazole ; persulfate ; electron transfer ; psychiatric drugs ; hospital wastewaters ; solar photocatalysis ; 1MoS2/g-C3N4 ; CNTs ; Ag2S ; cadmium ; adsorption ; alizarin yellow R ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PN Chemistry
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    Springer Nature | Springer International Publishing
    Publication Date: 2023-04-18
    Description: This open access IMISCOE Regional Reader explores the issues faced by migrant groups in Southeast Asia and the challenges of getting of their human rights recognized. It analyses the different responses, or lack thereof, of the Association of Southeast Asian Nations (ASEAN) to these highly complex situations which are shaped by contemporary debates around borders and concepts of states, migrants’ rights as well as access to citizenship and how these concepts and paradigms are intertwined with issues such as agency and resilience of migrants. Crucial attention is given to the region’s lesser known populations and issues such as the Vietnamese in Thailand, people of Indonesian descent (PIDs) in Southern Philippines, independent child migrants across the region, and the vulnerabilities of migrant workers facing the COVID-19 pandemic. With its unique regional focus, this book provides a valuable resource to those studying human rights and migration issues, policy makers and researchers and students.
    Keywords: Developments in migration studies in Southeast Asia ; The movement of migrants between vulnerability and victimhood ; The human rights of non-citizens in Southeast Asia ; Challenges of citizenship and borders for migrants ; Forced, irregular and mixed migratory flows in Southeast Asia ; Statelessness, refugees and asylum seekers in Southeast Asia ; Political sensitivities ; The Politics of Migration in Southeast Asia ; Legal identity of migrants and the stateless in Southeast Asia ; Situation of migrants amidst the trans-boundary pandemic Covid19 ; Forced & voluntary migration of Rohingya cross-border movements ; Stateless ethnic Vietnamese in Thailand ; Health systems and healthcare access of migrant populations ; People of Indonesian descent in the Philippines ; Independent Child Migration in Southeast Asia ; Vulnerability, agency and resilience of irregular migrants ; Trafficking and migrant smuggling in Southeast Asia ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFN Migration, immigration & emigration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPV Political control & freedoms::JPVH Human rights ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: The book is the reprint of the Special Issue 'Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems' published in the journal Applied Science (MDPI). It contains 17 articles, including 1 Editorial, 14 Research Papers, and 2 Reviews.
    Keywords: Industry 4.0 ; continuous improvement ; lean manufacturing ; lean production systems ; lean 4.0 ; systematic literature review ; tiny RFID ; metallic electromagnetic isolation ; analog manometer ; Ansys HFSS simulator ; passive digitization ; ontology ; production simulation ; multi-agent ; digital twin ; augmented reality ; industry 4.0 ; quality 4.0 ; metrology ; assembly ; turbine blades ; re-manufacturing ; uncertainty ; robust scheduling ; case-based reasoning ; failure mode ; effect and criticality analysis ; knowledge-based system ; nearest neighbor ; reliability-centered maintenance ; virtual reality ; cyber physical system ; OPC UA ; CAD ; industrial IoT ; prototyping ; retrofitting solutions ; embedded solutions ; low-cost ; value chain ; additive manufacturing ; subtractive manufacturing ; cost comparison ; plant simulation ; technology comparison ; hybrid dependability modelling ; production scheduling ; dynamic failure rate ; discrete event simulation ; time-driven simulation ; machine learning ; manufacturing ; artificial intelligence ; smart manufacturing ; digitization ; smart surface ; friction force field ; under-actuation ; feeding ; simulation ; material flow handling ; intralogistics ; robotic bin-picking ; simulation model ; ADAMS ; pick-point determination ; MATLAB/Simulink ; 2-F robotic gripper ; performance analysis ; plastic injection molding ; design of experiments ; process optimization ; facility layout problem ; evolutionary algorithms ; numerical modeling ; multi-objective optimization ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-14
    Description: Cyber security providers are facing a continuous stream of new, sophisticated cyberattacks on cyber critical infrastructures worldwide. These cyberattacks are often triggered by malware and ransomware. This book presents a collection of selected papers addressing malware detection, which is necessary to create reliable and resilient cyber and computer security mechanisms.
    Keywords: machine learning ; artificial intelligence ; big data ; privacy ; crime ; bifurcation ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTC Cloud computing
    Language: English
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    Unknown
    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of this topic, from building materials to building structures. The current trend in the development of materials testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semidestructive, and nondestructive testing.
    Keywords: timber structures ; estimating mechanical parameters ; small clear specimens ; non-destructive tests ; semi-destructive tests ; resistance drilling ; ultrasonic wave ; stress wave ; visual grading ; concrete ; NDT ; finite element method ; experiment ; automated inspection ; frequency domain ; validation ; sulfate attack ; physical and mechanical properties ; damage model ; microstructure ; external thermal insulation systems ; mechanical properties of bonds ; polyurethane adhesive ; timber frame building ; bond strength ; shear properties ; residual magnetic field ; Barkhausen noise ; LCR circuits ; plastic deformation ; austenitic steel ; steel fibre-reinforced concrete ; steel fibres ; waste sand properties ; reinforced beam ; shear cracking ; shear capacity ; non-destructive testing ; damage detection ; vibrations ; modal analysis ; continuous wavelet transform ; concrete beam ; strengthening ; adhesive joint ; debonding ; S355 steel ; uniaxial tensile test ; strength properties ; true stress-strain relationships ; confining pressure ; expansive clay ; fiber ; flexible wall permeameter ; hydraulic conductivity ; lime ; rigid wall permeameter ; concrete corrosion ; concrete protection ; steel corrosion ; concrete durability ; coating materials ; masonry structures ; autoclaved aerated concrete masonry units (AAC) ; compressive strength ; minor-destructive (MDT) techniques ; non-destructive (NDT) techniques ; ultrasonic testing ; acoustoelastic effect (AE) ; hydrostatic stresses ; modeling ; DIC technique ; ready-mixed concrete ; construction architecture material ; inter-laboratory comparisons (ILC) ; proficiency testing (PT) ; concrete quality assessment ; fracture mechanics ; ductile fracture ; material microstructure ; void growth ; FEM model ; material testing ; geodesic dome ; seismic response ; dynamic analysis ; seismic analysis ; high temperature ; fire temperature ; residual strength ; heat accumulation factor ; variational asymptotic method ; reduced-order plate model ; orthogrid-stiffened panel ; free-vibration analysis ; global buckling ; steel plates ; ultrasonic tomography ; base material ; rock ; post-installed anchors ; adhesive anchor ; mechanical anchor ; load-bearing capacity ; GSI ; RMR ; rebound value ; rebound hammer ; semi-flexible pavement ; fatigue resistance ; cracking mechanism ; fatigue prediction ; fracture surface ; cement–cellulose composites ; ventilated façade ; acoustic emission method ; frequencies of acoustic emission signals ; geosynthetic ; design ; pullout resistance ; effective length ; reinforced earth ; clay bricks ; cement lime mortar ; infill masonry wall ; destructive force ; self-stressed anti-washout concrete ; segment assembly ; undrained strengthening ; axial compression test ; mechanical properties ; CFRP grid ; PCM ; interface ; mechanical model ; pull-out test ; finite element analysis ; external walls ; thermal measurements ; R-value ; thermal resistance ; temperature-based method ; heat flow meter method ; infrared thermography method ; 3D textile composite ; equivalent model ; buckling analysis ; interlaboratory comparison (ILC) ; risk analysis ; measurements uncertainty (MU) ; ceramic tiles adhesive (CTA) ; assessment and verification of constancy of performance (AVCP) ; construction product ; market surveillance ; artificial weathering testing in civil engineering ; construction profiles ; natural fibre-reinforced polymer composites ; building performance assessment ; microstructure analysis ; stairs ; masonry ; clay brick ; arch ; vault ; management ; quality ; light detection and ranging (LiDAR) ; TLS ; low-temperature construction additive ; preparation method ; volumetric properties ; modification mechanism ; mixture performance ; bio-rejuvenated additive ; 100% rejuvenation ; reclaimed asphalt pavement ; regeneration mechanism ; pavement performance ; macro-strain mode ; medium- and small-span bridges ; wavelet transform ; cross-correlation function ; hygrothermal simulation ; capillary active internal insulation ; mould risk ; moisture effects ; subgrade ; static load test ; deformation modulus ; reliability ; fine-grain concrete ; bond ; industrial computed tomography ; numerical simulation ; xCT ; rectangular profile ; torsional stiffness ; stiffness increase ; research ; guided waves ; longitudinal wave ; discrete element method ; numerical modelling ; dispersion curves ; recycled aggregate concrete ; sustainable aggregate ; flexural strength ; gradient boosting ; random forest ; ventilated facades ; large-scale model ; fibre cement boards ; fire exposure ; Bayesian approach ; prestressing force ; saw-cut method ; assessment ; pre-tensioned members ; waste from enrichment of water-soluble ores ; artificially supported mining method ; backfill ; activation ; nanomodifier astralene ; ultimate compressive strength ; cement ; air-entraining admixture ; plasticizing ; porosity ; air-content ; strength ; freeze-thawing resistance ; storage systems ; looseness ; stiffness ; beam-end connection ; bending ; gap ; clearance ; plastic viscosity ; yield stress ; machine learning ; volcanic soil ; mechanical property ; strength index ; particle crushing ; road engineering ; pavement ; fatigue ; modules ; FEM ; light weight deflectometer ; solid fired brick ; defects in the internal structure ; resonant pulse method ; material durability ; drying of soil ; microwave heating ; soil structure ; computed microtomography ; water content ; buckling ; stability ; civil engineering ; slender bars ; columns ; numerical analysis ; variable cross-section ; waste glass ; recycling ; construction materials ; sustainable concrete ; steel fiber ; building material ; fibers ; mortar ; hybrid ; artificial neural networks ; fibre-cement boards ; acoustic emission ; SEM ; steel fibers ; steel fiber-reinforced concrete ; backfill mining ; loading rate ; cumulative ringing count ; damage constitutive model ; CFRP ; bond–slip law ; RC slab ; retrofit ; strengthen ; self-compacting concrete ; prediction models ; FRP ; continuous RC slab ; optimal design ; asphalt aging ; material property ; climate condition ; pavement structure ; field rut depth ; precast concrete products ; quality control ; OC curve ; AOQ curve ; shear wave velocity ; bender elements ; triaxial testing ; micromechanics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
    Language: English
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    Taylor & Francis | Reclaiming Participatory Governance | Routledge
    Publication Date: 2024-03-29
    Description: Bua and Bussu's (2021) article charted transitions between democracy-driven and governance-driven institutional reforms in the case of Barcelona. Their work is useful in identifying dynamism and tipping points shifting between elite-led and bottom-up forms of democratic governance. Building on this work, this chapter adds comparative analytical leverage to Bua and Bussu's insights by comparing the paradigmatic cases of “democracy-driven governance” in Barcelona (Spain) and “governance-driven democracy” in Nantes (France). Based on an analytical framework derived from previous work explaining the institutionalisation of participatory governance (Bussu 2012; Fung and Wright 2003; Heller 2001), the chapter develops knowledge as to the conditions under which DDG-like forms of participatory governance develop, flourish and are sustained or undermined. Nantes and Barcelona are appropriate cases because they have governance histories and contextual features but vary on the recent development of DDG in Barcelona and the sustenance of GDD in Nantes. This chapter explains this divergence, seeking to identify conditions that support DDG.
    Keywords: Activist, Austerity, Bottom-up, Citizen, Civic, Climate, Commodification, Constitution, Deliberative, Democracy, Democratic, Democratization, Digital, Election, Ethics, Governance, Innovation, Institution, Local, Mandate, Neoliberalism, Participatory, Platform, Political, Politics, Populism, Progressive, Racial, Reform, Renewal, Social Justice, Social Movement, State, Strategy, Transition, Wellbeing ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
    Language: English
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