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  • deep learning  (378)
  • thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
  • thema EDItEUR::N History and Archaeology::NH History
  • thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment
  • MDPI - Multidisciplinary Digital Publishing Institute  (578)
  • Firenze University Press  (159)
  • English  (731)
  • German  (6)
  • Danish
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  • 1
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    Chapter New artificial reef in coastal protection reconversion and electric power production (2023)
    Firenze University Press
    Details
    Publication Date: 2024-04-09
    Description: The proposal is founded to reconversion the existing breakwaters and artificial nourishments with an artificial reef positioned on the “calm belt” for mimics the location of coral reef. This calm is characterized by the conversion of pulsing vertical wave offshore energy into inshore horizontal currents. The soft barrier, far from the storm surges, diminish water velocity with no erosion in excess and electric power generation. Moreover, the turbines have the impeller semi-submerged and close to an indifferent buoyancy, in order to favor the number of revolutions at minimum currents
    Keywords: Soft artificial reef ; Reconversion breakwater ; Erosion control ; Wave Energy Converter ; Beach recovery ; Posidonia nursery ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment
    Language: English
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  • 2
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    Education and Sustainable Development Goals (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-02
    Description: This reprint addresses the relationship between education and sustainability from various perspectives. The main issues discussed in the 12 collected papers are concerned with (1) the quality of education, (2) SDG policy and implementation, (3) education and societal development, (4) students’ learning, and (5) global experience.
    Keywords: bridging academics ; regional sustainability ; knowledge diffusion ; public–private partnership ; multi-node knowledge link model ; stakeholders ; paradox of Chinese learners ; learning concept ; virtue model ; mind model ; Confucian culture ; mindset intervention ; interaction ; iterative process ; persuasive ; stealthy ; education for sustainable development ; China ; education policy ; sustainable development ; ESD ; SDGs ; sustainability ; higher education ; indicators ; rankings ; assessment ; university rankings ; green universities ; green campus ; education ; learning ; educational innovation ecosystem ; education sustainability ; university-industry collaboration ; Chinese higher education ; digital age ; talents cultivation ; information literacy ; online learning process ; innovation performance ; nature education ; urban residents ; perception ; survey ; sustainable growth ; social-emotional skills ; self-management skills ; solution-focused ; Kids’Skills method ; education partnership assistance ; common prosperity ; balanced and sustainable development ; capacity building ; professional learning communities in interdisciplinary subjects ; teachers’ professional development ; teacher learning ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
    Language: English
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  • 3
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    Novel Approaches for Nondestructive Testing and Evaluation (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Keywords: composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; 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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  • 4
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    Towards a Sustainable Life: Smart and Green Design in Buildings and Community (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-23
    Description: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Keywords: sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    Language: English
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  • 5
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    Artificial Intelligence Techniques in Hydrology and Water Resources Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 6
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    Chapter Rereading Italian Travellers to Africa: Precursors, Identities and Interracial Relations in Narratives of Italian Colonialism (2022)
    Firenze University Press
    Details
    Publication Date: 2024-04-01
    Description: This essay considers a number of travellers’ writings about Africa which are reread to construct and deconstruct Italian colonial identity. It focuses on Cesare Cesari’s Viaggi africani di Pellegrino Matteucci (1932), which deems Matteucci a precursor of Fascist colonialism and contributor to Fascist “colonial science”. The essay then moves on to explore the more recent rereading by Angelo Del Boca and Igiaba Scego of respectively Indro Montanelli’s XX Battaglione Eritreo (1936) and Errico Emanuelli’s Settimana nera (1961). By bringing together and rereading these texts, the essay maps the transformations of Italianness from colonial to postcolonial times and reveals how colonial identity relied on a series of gender, racial and sexual tropes of exploration and conquest.
    Keywords: Africa ; colonial identity ; race ; sex ; gender ; thema EDItEUR::N History and Archaeology::NH History
    Language: English
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  • 7
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    Nutraceuticals and Human Health (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-01
    Description: In this Special Issue, we have published papers on the health-promoting effects of nutraceuticals from different sources, and their effects in different pathologies. Extracts from plants have been analyzed, for example, extracts from olive leaves, Mikania micrantha, the devil’s claw, raspberries and others, alongside marine phytoplankton, egg-yolk and marketed dietary supplements. The effects of these extracts and dietary supplements have been studied in diseases associated with obesity, and in diseases where inflammation pathways are involved. The effectiveness of resveratrol and curcumin to support the anticancer activity of cisplatin has also been reported, as well as the ability of devil’s claw root extract to stimulate the CB2 receptors in synoviocytes in osteoarthritis patients. The anti-oxidant effect of marine phytoplankton has been studied on muscle damage, both in humans and in an animal model, and the effects of the metabolite of antocianin were analyzed in a mouse model of amyotrophic lateral sclerosis. Finally, reviews on the use of lactoferrin, ω3 and ω6 and abscisic acid have been reported, in addition to the crosstalk between prostate cancer and microbiota inflammation. Although it is not yet possible to draw definitive conclusions on the use of nutraceuticals, several mechanisms of action for many of them have been further clarified.
    Keywords: fertility ; ingredients ; male reproduction ; semen parameters ; supplements ; allithiamine ; garlic ; hyperglycaemia ; advanced glycation end-products ; cytokines ; abscisic acid ; prediabetes ; type 2 diabetes mellitus ; metabolic syndrome ; insulin resistance ; adipocyte browning ; AMP-activated protein kinase ; food supplement ; frambinone ; meal frequency ; open-field test ; elevated plus maze ; sensory motor gating ; pre-pulse inhibition ; c-Fos ; amyotrophic lateral sclerosis ; anti-inflammatory ; antioxidant ; phenolic acid ; neuroprotective ; neurodegeneration ; obesity ; overweight ; beta-glucans ; chitosan ; follow up study ; weight loss programs ; weight gain ; weight loss ; body weight changes ; phytoplankton ; antioxidants ; muscle damage ; muscle recovery ; muscle soreness ; Viburnum opulus ; phenolic compounds ; adipogenesis ; PPARγ ; lipase inhibition ; green tea ; epigallocatechin ; lipid profile ; high-fat diet ; fast food ; osteoarthritis ; nutraceuticals ; polyphenols ; volatile compounds ; β-caryophyllene ; eugenol ; FAAH ; cannabinoid receptors ; phospholipases ; lactoferrin ; bovine milk ; nutraceutical ; human health ; resveratrol ; curcumin ; cisplatin ; head and neck cancer ; cell cycle ; apoptosis ; prostate cancer ; microbiota ; nutraceutical compounds ; fecundation ; inflammation ; cytokine ; growth factors ; metabolomics ; lipidomics ; ω-3PUFAs ; ω-6PUFAs ; endocannabinoids ; CRC ; fatty acids ; Gymnema inodorum ; gymnemic acid ; Mikania micrantha ; anti-hypercholesterolemia ; steatosis ; olive leaf ; macrophages ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
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  • 8
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    Implementation and Scale Up of Point of Care (POC) Diagnostics in Resource-Limited Settings (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-01
    Description: Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics to meet the unmet needs of patients in resource-limited settings, particularly disease burdened settings with limited access to laboratory infrastructure. However, previous research has demonstrated that the availability of health technologies in these settings does not always guarantee patient-centered outcomes. The applicability, effectiveness and sustainability of diagnostic technologies is affected by the involvement of all stakeholders during planning and implementation, which must be relevant to each specific context and sensitive to local culture. Factors such as infrastructure, resources, values and characteristics of participants can influence the implementation, scalability and sustainability of health interventions such as POC diagnostics. This book, “Implementation and Scale up of Point of Care (POC) Diagnostics in Resource-Limited Settings”, presents literature reviews and primary research studies focusing on the implementation and scale up of POC diagnostics in resource-limited settings.
    Keywords: point-of-care-ultrasound ; ultrasound ; implementation ; point of care ultrasound ; augmented reality ; telemedicine ; spatial accessibility ; blood group ; rhesus type ; point-of-care testing ; maternal healthcare ; Upper East Region ; Ghana ; point-of-care ultrasound ; medical education ; syphilis ; maternal mortality ; interrupted time series ; segmented regression analysis ; point-of-care CD4+ t testing ; qualitative survey ; acceptability ; patients ; healthcare providers ; primary healthcare clinics ; HIV self-testing ; scale-up ; key stakeholder ; quality HIV point-of-care-diagnostics ; nominal group technique ; stakeholder engagement ; self-testing ; novel coronavirus disease-19 ; blockchain ; artificial intelligence ; geographical access ; glucose-6-phosphate dioxygenase deficiency ; antenatal care ; upper east region ; schistosomiasis ; barriers to diagnostics ; access to healthcare ; end-user perspectives ; neglected tropical diseases ; Nigeria ; case management ; electronic health information system ; diagnosis ; treatment ; point-of-care ; low and middle income countries ; point-of-care diagnostics ; healthcare services ; COVID-19 era ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
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  • 9
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    Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; 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
    Language: English
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  • 10
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    Acute and Chronic Changes in Neural Excitability During Physical Activity in Non-Pathological States (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-01
    Description: Neural control of human motor output and how it is modified by alterations in physical activity levels is complex and multidimensional. The use of various experimental designs has vastly increased our knowledge of how the nervous system integrates descending, segmental, and ascending information to produce motor outputs, yet there is still much to learn. A more complete picture of the neurophysiology underlying the control of human motor outputs may prove useful in guiding rehabilitation programs aimed at reducing motor impairments following disease or injury. The purpose of this Special Issue is to collect original articles that explore neural excitability in various states. Studies examining neural excitability on a moment-to-moment basis (acute) or following prolonged periods of exercise or skill training and disuse (chronic) are encouraged. Original research studies using various experimental measures (e.g., transcranial magnetic stimulation, transmastoid electrical stimulation, single motor unit recordings, electroencephalography, and measures of spinal reflexes) in various states (e.g., fatigued, non-fatigued, and resting) during different types of motor outputs (tonic or dynamic) are encouraged. Experimental studies and literature reviews are welcome.
    Keywords: thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology
    Language: English
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