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  • Q1-390  (1,489)
  • thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues  (1,114)
  • machine learning  (679)
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  • 1
    Publication Date: 2024-04-05
    Description: After a quarter of century of rapid technological advances, research has revealed the complexity of cancer, a disease intimately related to the dynamic transformation of the genome. However, the full understanding of the molecular onset of this disease is still far from achieved and the search for mechanisms of treatment will follow closely. It is here that Nanotechnology enters the fray offering a wealth of tools to diagnose and treat cancer. In fact, the National Cancer Institute predicts that over the next years, nanotechnology will result in important advances in early detection, molecular imaging, targeted and multifunctional therapeutics, prevention and control of cancer. Nanotechnology offers numerous tools to diagnose and treat cancer, such as new imaging agents, multifunctional devices capable of overcome biological barriers to deliver therapeutic agents directly to cells and tissues involved in cancer growth and metastasis, and devices capable of predicting molecular changes to prevent action against precancerous cells. Nanomaterials-based delivery systems in Theranostics (Diagnostics & Therapy) provide better penetration of therapeutic and diagnostic substances within the body at a reduced risk in comparison to conventional therapies. At the present time, there is a growing need to enhance the capability of theranostics procedures where nanomaterials-based sensors may provide for the simultaneous detection of several gene-associated conditions and nanodevices with the ability to monitor real-time drug action. These innovative multifunctional nanocarriers for cancer theranostics may allow the development of diagnostics systems such as colorimetric and immunoassays, and in therapy approaches through gene therapy, drug delivery and tumor targeting systems in cancer. Some of the thousands and thousands of published nanosystems so far will most likely revolutionize our understanding of biological mechanisms and push forward the clinical practice through their integration in future diagnostics platforms. Nevertheless, despite the significant efforts towards the use of nanomaterials in biologically relevant research, more in vivo studies are needed to assess the applicability of these materials as delivery agents. In fact, only a few went through feasible clinical trials. Nanomaterials have to serve as the norm rather than an exception in the future conventional cancer treatments. Future in vivo work will need to carefully consider the correct choice of chemical modifications to incorporate into the multifunctional nanocarriers to avoid activation off-target, side effects and toxicity. Moreover the majority of studies on nanomaterials do not consider the final application to guide the design of nanomaterial. Instead, the focus is predominantly on engineering materials with specific physical or chemical properties. It is imperative to learn how advances in nanosystem’s capabilities are being used to identify new diagnostic and therapy tools driving the development of personalized medicine in oncology; discover how integrating cancer research and nanotechnology modeling can help patient diagnosis and treatment; recognize how to translate nanotheranostics data into an actionable clinical strategy; discuss with industry leaders how nanotheranostics is evolving and what the impact is on current research efforts; and last but not least, learn what approaches are proving fruitful in turning promising clinical data into treatment realities.
    Keywords: QD1-999 ; Q1-390 ; Nanoparticles ; Gene Therapy ; Immunotherapy ; bioimaging ; theranostics ; nanomaterials ; Drug delivery ; Nanomedicine ; Cancer ; Phototherapy ; thema EDItEUR::P Mathematics and Science::PN Chemistry
    Language: English
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  • 2
    Publication Date: 2024-04-09
    Description: Radio communications in the range of 60 GHz enable multi-Gigabit/s network access in indoor environments. Due to the propagation characteristics of such signals only very short range radio transmission is feasible. In order to distribute these signals across large distances, analog transmission over optical fiber is considered. In this work, mode-locked laser diodes serve as optoelectronic oscillators for the generation of such signals. Their system-relevant properties are studied in detail.
    Keywords: T1-995 ; millimeter wave communications ; mode-locked lasers ; wireless personal area networks ; radio-over-fiber ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Anthropogenic greenhouse gas (GHG) emissions are dramatically influencing the environment, and research is strongly committed to proposing alternatives, mainly based on renewable energy sources. Low GHG electricity production from renewables is well established but issues of grid balancing are limiting their application. Energy storage is a key topic for the further deployment of renewable energy production. Besides batteries and other types of electrical storage, electrofuels and bioderived fuels may offer suitable alternatives in some specific scenarios. This Special Issue includes contributions on the energy conversion technologies and use, energy storage, technologies integration, e-fuels, and pilot and large-scale applications.
    Keywords: Q1-390 ; QC1-999 ; n/a ; PV ; GHG savings ; lithium-ion battery (LIB) ; probability prediction ; decarbonization ; supercapacitor (SC) ; least squares support vector machine ; EV fleet forecasts ; alternative maritime power (AMP) ; Markov chain ; feasibility study ; D funding ; hybrid power system ; numerical analysis ; ship structure ; optimal sizing ; cellulosic ethanol ; electric vehicles EV ; biofuel ; green ship ; R&amp ; bulk carrier ; molten carbonate fuel cell system ; sparse Gaussian process regression ; power-to-gas ; combination method ; charging infrastructure ; jet fuel ; flow characteristics ; hybrid refinery ; LNG-fueled ship ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
    Language: English
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  • 4
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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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  • 5
    Publication Date: 2024-04-11
    Description: It has become more evident that many microalgae respond very differently than land plants to diverse stimuli. Therefore, we cannot reduce microalgae biology to what we have learned from land plants biology. However, we are still at the beginning of a comprehensive understanding of microalgae biology. Microalgae have been posited several times as prime candidates for the development of sustainable energy platforms, making thus the in-depth understanding of their biological features an important objective. Thus, the knowledge related to the basics of microalgae biology must be acquired and shared rapidly, fostering the development of potential applications. Microalgae biology has been studied for more than forty years now and more intensely since the 1970’s, when genetics and molecular biology approaches were integrated into the research programs. Recently, studies on the molecular physiology of microalgae have provided evidences on the particularities of these organisms, mainly in model species, such as Chlamydomonas reinhardtii. Of note, cellular responses in microalgae produce very interesting phenotypes, such as high lipid content in nitrogen deprived cells, increased protein content in cells under high CO2 concentrations, the modification of flagella structure and motility in basal body mutant strains, the different ancient proteins that microalgae uses to dissipate the harmful excess of light energy, the hydrogen production in cells under sulfur deprivation, to mention just a few. Moreover, several research groups are using high-throughput and data-driven technologies, including “omics” approaches to investigate microalgae cellular responses at a system-wide level, revealing new features of microalgae biology, highlighting differences between microalgae and land plants. It has been amazing to observe the efforts towards the development and optimization of new technologies required for the proper study of microalgae, including methods that opened new paths to the investigation of important processes such as regulatory mechanisms, signaling crosstalk, chemotactic mechanisms, light responses, chloroplast controlled mechanisms, among others. This is an exciting moment in microalgae research when novel data are been produced and applied by research groups from different areas, such as bioprocesses and biotechnology. Moreover, there has been an increased amount of research groups focused in the study of microalgae as a sustainable source for bioremediation, synthesis of bioproducts and development of bioenergy. Innovative strategies are combining the knowledge of basic sciences on microalgae into their applied processes, resulting in the progression of many applications that hopefully, will achieve the necessary degree of optimization for economically feasible large-scale applications. Advances on the areas of basic microalgae biology and novelties on the essential cellular processes were revealed. Progress in the applied science showed the use of the basic science knowledge into fostering translational research, proposing novel strategies for a sustainable world scenario. In this present e-book, articles presented by research groups from different scientific areas showed, successfully, the increased development of the microalgae research. Herewith, you will find articles ranging from bioprospecting regional microalgae species, through advances in microalgae molecular physiology to the development of techniques for characterization of biomass and the use of biomass into agriculture and bioenergy production. This e-book is an excellent source of knowledge for those working with microalgae basic and applied sciences, and a great opportunity for researchers from both areas to have an overview of the amazing possibilities we have for building an environmentally sustainable future once the knowledge is translated into novel applications.
    Keywords: TA1-2040 ; TP248.13-248.65 ; QK1-989 ; Q1-390 ; Biotechnology ; biomass ; Hydrogen ; bioenergy ; Nutrients ; Lipids ; Microalgae ; Biofuels ; sustainability ; Carbon Dioxide ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint concerns topics on chemical, functional, and technological features of wheats to obtain wheat-based foods improved in phytochemicals. Genetic materials, from landraces to ancient and modern wheat varieties, characterized for their content of bioactive compounds, were exploited to produce superior staple foods. The study of other species allowed to identify functional ingredients, in wholemeals or in their by-products, useful in the enrichment of formulations for various cereal-based products. Further, in the optic of circular economy, it is of great interest the extraction of bioactive components from food processing waste belonging to the other crops to functionalize final products.
    Keywords: durum wheat ; diversity ; pigmented cereals ; phytochemicals ; anthocyanins ; antioxidant activity ; protein ; gluten ; wheat aleurone ; dietary fibre ; extraction process ; antioxidant ; bread ; arabinoxylans ; bakery ; biologically active substances ; DPPH assay ; nutritional value ; sensory properties ; pasta fortification ; hemp flour ; durum wheat cultivar ; amino acids ; fatty acids ; mineral fortification ; brewers’ spent grain ; bread-making ; circular economy ; common wheat ; emmer ; phenolics ; proteins ; sustainable food production ; bread wheat ; spelt ; fibre ; metabolites ; minerals ; fertilisation ; health benefits ; colour ; farinograph ; rheofermentograph ; viscoelastic behaviour ; bread shelf life ; crumb porosity ; cereals ; wholemeal ; biscuits ; phenolic acid compositions ; carotenoids ; consumer acceptance ; wheat quality ; genetic resources ; ancient wheat ; avocado wastes/by-products ; functional bread ; lactic acid bacteria ; sourdough ; peels ; pulp ; seeds ; polyphenols ; antioxidant properties ; n/a ; 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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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In recent years, the fascination with shape memory alloys (SMAs) has grown across industries such as aerospace, automotive, naval, civil, and biology. SMAs possess unique properties, including the ability to recover from deformation when heated, exhibit pseudoelastic stress-strain behavior for large deformations, and exceptional biocompatibility for bioengineering applications. However, a comprehensive understanding of critical characteristics like transformation temperature and stress values is necessary to fully utilize SMAs. The shape memory effect, where SMAs regain their original shape after deformation under specific thermal conditions, has driven innovative applications in various sectors. In aerospace, SMAs are used in wing structures and actuation systems, enabling morphing and improving aerodynamics. In healthcare, they are integrated into orthopedic devices, simplifying surgical procedures and providing necessary support. The automotive industry also benefits from SMAs, using them in seatbelts and vibration damping systems for enhanced safety and comfort. Accurate knowledge of critical characteristics is essential for effective utilization of SMAs, unlocking their potential in different fields. The remarkable versatility of SMAs, with their deformation recovery, pseudoelasticity, and biocompatibility, positions them as a material of immense interest. As research and development continue, SMAs are poised to drive future innovations, shaping various industries.
    Keywords: shape memory alloy (SMAs) ; shape memory effect (SME) ; superelasticity ; smart materials ; constitutive models ; simulation and modeling ; smart devices ; 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
    Language: English
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mg alloy is the lightest metallic structural material and possesses the advantages of high specific strength, high specific stiffness, good electromagnetism shield, good damping capacity, good machinability, and easy recycling, etc. Therefore, it has extremely broad application prospects and has drawn considerable interest in the fields of automobile, electronics, electrical appliances, transportation, aerospace, and aviation. In addition, Mg alloys are gradually showing application potential in emerging industries, serving as biodegradable metals in the biomedical field, functional material for hydrogen storage, and so on. This Special Issue (SI), entitled “Research Progress in High-Performance Magnesium Alloy and Its Applications”, presents recent developments and excellent results in the field of Mg alloys, and includes 10 articles and one editorial covering some interesting aspects of the topic.
    Keywords: grain refinement ; high strength and toughness ; {10–12} twin ; Mg-Gd-Y alloy ; multidirectional impact forging ; Mg-Zn-Mn-Ca ; Ca2Mg6Zn3 phase ; corrosion behaviors ; SKPFM ; boride ; MgB2 ; mechanical alloying ; ignition ; combustion ; flame temperature ; magnesium alloy ; biocompatibility ; surface coating modification ; corrosion resistance ; implantable bio-metal materials ; filler material ; welding ; scandium ; microstructure modification ; mechanical properties ; microstructure ; texture ; stretch formability ; high temperature cross-rolling ; annealing ; wire arc additive manufacturing ; cold metal transfer ; Al-Mg alloys ; orthogonal experiment ; Mg-Bi-Ca alloy ; hot deformation ; constitutive model ; dynamic recrystallization kinetics ; Mg alloy ; twinning ; random orientation ; compression ; room temperature ; backward extrusion ; tensile strength ; failure mechanism ; 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::TGM Materials science
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  • 9
    Publication Date: 2024-04-05
    Description: In the past two decades there have been significant advances made in understanding the cellular and molecular alterations that occur with brain ageing, as well as with our understanding of age-related brain diseases. Ageing is associated with a mid-life decline in many cognitive domains (eg. Attention, working memory, episodic memory) that progresses with advancing age and which may be potentiated by a variety of diseases. However, despite the breadth of attempts to explain it, the underlying basis for age-related memory impairment remains poorly understood. Both normal and “pathological” ageing (as in age-related neurodegenerative disorders such as Alzheimer’s disease) may be associated with overlapping and increased levels of “abnormal” pathology, and this may be a potential mediator of cognitive decline in both populations. An emerging hypothesis in this field is that metal ion dys/homeostasis may represent a primary unifying mechanism to explain age- and disease-associated memory impairment – either indirectly via an effect on disease pathogenesis, or by a direct effect on signaling pathways relevant to learning and memory. There remains a concerted worldwide effort to deliver an effective therapeutic treatment for cognitive decline associated with ageing and/or disease, which is currently an unmet need. There have been numerous clinical trials conducted specifically testing drugs to prevent cognitive decline and progression to dementia, but to date the results have been less than impressive, highlighting the urgent need for a greater understanding of the neurobiological basis of memory impairment in ageing and disease which can then drive the search for effective therapeutics.
    Keywords: RC321-571 ; Q1-390 ; Down Syndrome ; Amyotrophic Lateral Sclerosis ; Parkinson's disease ; aluminium ; Iron ; TBI ; Cognition ; Copper ; Alzheimer's disease ; Zinc ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Papers collected in the present Special Issue relate to the field of sericulture. They cover different aspects based on a very ancient human agricultural activity, taking into consideration classical agronomic aspects, such as the impact of feeding on silk quality and sericulture in different parts of the world. Nonetheless, cutting edge topics are addressed as well, with papers studying silk as a biomaterial, the silkworm as a model organism, and the possibility of exploring its physiology and the molecular mechanisms that stand behind it with the aid of modern tools such as gene profiling, the CRISPR/Cas-9 system, and -omics sciences.
    Keywords: silkworm ; Bombyx mori ; transcriptome analysis ; RNA-seq ; gene model transcriptional factor ; Cutibacterium acnes ; infection ; antibacterial drugs ; polyamines ; cell cycle progression ; Bombyx mori nuclear polyhedrosis virus ; sequencing analysis ; qPCR ; pathogenicity difference ; maternal mRNAs ; 20-hydroxyecdysone ; pupa ; wandering ; fibroin ; sericin ; chrysalis ; diabetes ; hydrogen sulfide ; transcriptome ; differentially expressed genes ; expression pattern ; silk ; supercritical carbon dioxide impregnation ; nanofiller ; CRISPR-Cas ; silkworms ; genome engineering ; insect biotechnology ; entomology ; sericulture ; agroindustry ; Food and Agriculture Organization of the United Nations ; mulberry ; moriculture ; germplasm preservation ; 16S rRNA gene ; amplicon sequencing ; gut microbiota ; co-expression network analysis ; silk protein ; transcription factor ; Eri silkworm ; pentose-utilizing microbe ; lactic acid bacteria ; probiotic ; Eri culture ; silk fibroin ; SILKBridge® nerve conduit ; performance testing ; biocompatibility ; toxicology ; regulatory requirements ; quality requirements ; control manufacturing ; green material ; biomaterial ; 3D scaffolds ; cancer therapy ; bibliometric analysis ; mulberry silkworm pupae ; nutritional composition ; silk gland ; infection model ; Staphylococcus epidermidis ; insect immune response ; antimicrobial compounds ; glycopeptide antibiotics ; vancomycin ; teicoplanin ; dalbavancin ; mulberry leaves ; chemical composition ; feeding experiment ; bacterial microbiome ; BmNPV ; Bombyx mori L. ; non-timber forest product ; livelihood ; Indonesia ; n/a ; 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
    Language: English
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Metalliferous minerals play a central role in the global economy. They will continue to provide the raw materials we need for industrial processes. Significant challenges will likely emerge if the climate-driven green and low-carbon development transition of metalliferous mineral exploitation is not managed responsibly and sustainably. Green low-carbon technology is vital to promote the development of metalliferous mineral resources shifting from extensive and destructive mining to clean and energy-saving mining in future decades. Global mining scientists and engineers have conducted a lot of research in related fields, such as green mining, ecological mining, energy-saving mining, and mining solid waste recycling, and have achieved a great deal of innovative progress and achievements. This Special Issue intends to collect the latest developments in the green low-carbon mining field, written by well-known researchers who have contributed to the innovation of new technologies, process optimization methods, or energy-saving techniques in metalliferous minerals development.
    Keywords: metallurgical slag-based binders ; solidification/stabilisation ; As(III) ; As(V) ; calcium hydroxide ; sublevel caving ; numerical simulation ; physical model ; structural parameter ; green mining ; limestone ; high temperature ; confining pressure ; SHPB ; constitutive model ; open-pit mine ; PLAXIS 3D ; dynamic load ; safety factor ; acceleration ; particle sedimentation ; filling mining ; degree of influence ; pipeline transportation ; solid waste utilization ; tailings ; reclamation risk ; hazard identification ; complex network ; hazard management ; digital mine ; mine short-term production planning ; haulage equipment dispatch plan ; ABCA ; NSGA ; settlement velocity measurement ; K-means ; tailings backfill ; unsupervised learning ; cemented paste backfill ; ESEM ; picture processing ; floc networks ; pumping agent ; fractal dimension ; backfill slurry ; strength of cemented backfill ; inhomogeneity of cemented backfill ; cemented tailings backfill ; copper ; zinc ; recovery ; sulfide concentrate ; artificial microbial community ; granular backfill ; bearing characteristics ; numerical model ; particle size ; surface subsidence ; blasting dust movement ; dust concentration ; particle size distribution ; blasting dust reduction ; backfill ; metal mine ; log-sigmoid ; tailings pond ; regional distribution ; dam break ; accident statistics ; causation analysis ; backfilling ; increasing resistance and reducing pressure ; computational fluid dynamics ; spiral pipe ; stowing gradient ; coal-based solid waste ; orthogonal experiment ; strength development ; regression analysis ; engineering performance ; 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::TT Other technologies and applied sciences::TTU Mining technology and engineering
    Language: English
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  • 12
    Publication Date: 2024-04-05
    Description: Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems. More recently, several big projects have emerged to build very large scale neuromorphic systems. The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops. With this special research topic, we showcase the state-of-the-art in neuromorphic systems.
    Keywords: RC321-571 ; Q1-390 ; neuromorphic engineering ; Learning ; Floating gate ; Neural Network ; spike-based ; event-based ; simulation ; dynamic vision sensor ; network ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 13
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    Frontiers Media SA
    Publication Date: 2024-04-05
    Description: Despite the importance of mathematics in our educational systems little is known about how abstract mathematical thinking emerges. Under the uniting thread of mathematical development, we hope to connect researchers from various backgrounds to provide an integrated view of abstract mathematical cognition. Much progress has been made in the last 20 years on how numeracy is acquired. Experimental psychology has brought to light the fact that numerical cognition stems from spatial cognition. The findings from neuroimaging and single cell recording experiments converge to show that numerical representations take place in the intraparietal sulcus. Further research has demonstrated that supplementary neural networks might be recruited to carry out subtasks; for example, the retrieval of arithmetic facts is done by the angular gyrus. Now that the neural networks in charge of basic mathematical cognition are identified, we can move onto the stage where we seek to understand how these basics skills are used to support the acquisition and use of abstract mathematical concepts.
    Keywords: RC321-571 ; Q1-390 ; Neuroimaging ; development ; numerosity ; gifted ; Mathematical Cognition ; algebra ; abstract ; Expertise ; Arithmetic ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Blockchain and cryptocurrencies have recently captured the interest of academics and those in industry. Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. The cryptocurrency market is currently worth over $500 billion. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. This Special Issue will provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. The topics covered in this Special Issue will include but are not limited to the following: academic research on blockchain and cryptocurrencies; industrial applications of blockchain and cryptocurrencies; applications of fintech in academia and industry; the economics of blockchain technology, and the financial analysis and risk management with cryptocurrencies.
    Keywords: cryptocurrencies ; connectedness ; spill overs ; spectral analysis ; time-frequency-dynamic ; Bitcoin ; cryptocurrency ; spillover risks ; Copulas ; Student’s-t ; survey ; bitcoin ; efficient market hypothesis ; ARIMA ; artificial neural network ; static forecast ; contagion effect ; detrended cross-correlation analysis ; liquidity ; Ethereum ; market liquidity ; Hurst exponent ; high frequency ; fraud ; algorithms ; correlations ; impact ; risks ; regulation ; blockchain ; autoregression ; time-series analysis ; simulation ; predictive modes ; endogenous ; exogenous variables ; Blockchain ; Cryptocurrencies ; Digital Currencies ; Risk management ; Financial analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 15
    Publication Date: 2024-03-29
    Description: In the year 2013, ‘selfie’ was named word of the year by Oxford Dictionaries in recognition of dramatic changes in frequency, prominence, and register of the term. This drastic increase in selfie-taking was spurred by two factors. The first was the advent of smartphones equipped with front cameras and preview screens that made it easy to compose a photographic self-portrait by a process of deliberately exploring one’s image, choosing a pose, and finally taking the picture. The second key change contributing to the rise of the selfie age was the increasing availability of internet connections. It is estimated that about 50% of the world population has access to the internet today (2018; https://www.internetworldstats.com). At the end of the past century, this percentage was a mere 1%. The growth of the internet infrastructure simultaneously spurred the development of social network applications such as Facebook, Twitter, Snapchat, and Instagram, providing accessible media for sharing photographs including photographic self-portraits. However, despite their tremendous reach and popularity, selfies have so far received relatively little attention by the scientific community, especially within psychology. Thus, we proposed a Frontiers in Psychology Research Topic to expand empirical and theoretical work on the massively popular, yet scientifically unexplored, phenomenon of the selfie. The articles published in this eBook offer a multifaceted insight into current scholarly work on this topic.
    Keywords: BF1-990 ; Q1-390 ; group selfies ; self-esteem ; Human Computer Interaction (HCI) ; self-presentation ; selfie ; viewing perspective ; perception bias ; smartphones ; social media ; internet ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Smart materials and structures are capable of active or passive changes in terms of shapes, properties, and mechanical or electromagnetic responses in reaction to an external stimulus, such as light, temperature, stress, moisture, pH, and electric or magnetic fields. They have attracted increasing interest for their enhanced performance and efficiency over a wide range of industrial applications, especially for aerospace. These require novel engineering approaches and design philosophies in order to integrate the actions of sensors, actuators, and control circuit elements into a single system that can respond adaptively to its surroundings. This reprint has collected cutting-edge research and recent advances in smart materials and structures, including seven original research papers and three review articles, co-authored by 65 scientists and engineers from 18 institutions and 3 industries. The research topics mainly cover advanced materials, applications of smart materials and structures, as well as recent development in sensing techniques. We hope this reprint will contribute to disseminating the latest progress in smart materials and structures, as well as stimulate the interest of its audience to work in this important and vibrant area to promote and benefit the multidisciplinary scientific communities.
    Keywords: textile-based mechanical sensors ; mechanism ; preparation ; advantages ; applications ; Artificial Neural Network (ANN) ; guided waves ; Structural Health Monitoring (SHM) ; Finite Element Analysis (FEA) ; damage detection ; metals ; composites ; aeroelastic stability ; bladed disk ; intentional mistuning ; piezoelectric material ; topological optimization ; microstructure ; high-entropy alloy ; mechanical property ; bipedal robot ; dynamics simulation ; MRE isolator ; vibration reduction control algorithms ; no-core fiber ; polyaniline ; polyacrylic acid ; pH sensor ; multimode interference ; gas foil bearing ; Inconel alloy ; sensing foil ; strain field ; temperature field ; thermomechanical coupling ; thermomechanical characterization ; rotor dynamics ; turbomachinery ; cholesteric liquid crystals ; electro-optic response ; polymer stabilization ; ion-trapping mechanism ; liquid metal ; stretchable conductor ; 3D printing ; high dynamic stability ; wearable devices ; biomimetic ; Venus flytrap ; smart ; composite ; mechanics ; 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
    Language: English
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  • 17
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: DNA methylation, a modification found in most species, regulates chromatin functions in conjunction with other epigenome modifications, such as histone post-translational modifications and non-coding RNAs. In mammals, DNA methylation has an essential role in development by orchestrating the generation and maintenance of the phenotypic diversity of human cell types. Recent years have brought spectacular advances in our understanding of the mechanism, function and regulation of DNA methyltransferases through their interaction with other epigenome modifications, chromatin factors and post-translational modifications, which are described in this Special Issue of Genes. Manuscripts are specifically addressing describing the targeting and regulation of DNA methyltransferases by interacting factors and their roles in cellular differentiation and the development of diseases. Prof. Dr. Albert Jeltsch and Prof. Dr. Humaira Gowher, Guest Editors
    Keywords: QH301-705.5 ; Q1-390 ; DNMTs ; n/a ; histone modification ; TBRS ; DNA methyltransferases ; autoinhibition ; epigenetics ; DNMT ; cell identity ; embryogenesis ; dwarfism ; DNMT3B ; germ cells ; HSAN1E ; USP7 ; DNMT3A ; DNA methyltransferase ; gene expression ; DNMT1 ; de novo DNA methylation ; DNA methyltransferase structure ; UHRF1 ; DNA methyltransferase mechanism ; allosteric regulation ; rare diseases ; DNA Methylation ; maintenance DNA methylation ; DNA methylation ; ADCA-DN ; PCC/PGL ; ubiquitination ; TETs ; DNA methyltransferase function ; molecular epigenetics ; DNA methyltransferase regulation ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 18
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    Frontiers Media SA
    Publication Date: 2024-03-31
    Description: The main physiological actions of the biologically most active metabolite of vitamin D, 1a,25-dihydroxyvitamin D3(1a,25(OH)2D3), are calcium and phosphorus uptake and transport and thereby controlling bone formation. Other emergent areas of 1a,25(OH)2D3 action are in the control of immune functions, cellular growth and differentiation. This fits both with the widespread expression of the VDR and the above described consequences of vitamin D deficiency. Transcriptome-wide analysis indicated that per cell type between 200 and 600 genes are primary targets of vitamin D. Since most of these genes respond to vitamin D in a cell-specific fashion, the total number of vitamin D targets in the human genome is far higher than 1,000. This is supported by the genome-wide view on VDR binding sites in human lymphocytes, monocytes, colon and hepatic cells. All genomic actions of 1a,25(OH)2D3 are mediated by the transcription factor vitamin D receptor (VDR) that has been the subject of intense study since the 1980’s. Thus, vitamin D signaling primarily implies the molecular actions of the VDR. In this research topic, we present in 15 chapters different perspectives on the action of vitamin D and its receptor, such as the impact of the genomewide distribution of VDR binding loci, ii) the transcriptome- and proteome-wide effects of vitamin D, iii) the role of vitamin D in health, iv) tissue-specific functions of vitamin D and v) the involvement of vitamin D in different diseases, such as infections, autoimmune diseases, diabetes and different types of cancer.
    Keywords: QP1-981 ; Q1-390 ; Vitamin D ; Immune System ; Genomics ; vitamin D receptor ; Physiology ; thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; 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::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
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  • 20
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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
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  • 21
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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
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  • 22
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; 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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  • 23
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This book is motivated by our passion to compile recent research on antimicrobial surfaces. We aimed to assemble research papers on the preparation of new materials, antimicrobial testing using different pathogens (bacteria, fungi, and viruses), and the relationship between the coating nanostructure and its reactivity towards the studied pathogen(s). We believe that a good antimicrobial coating should by characterized by (i) a fast activity towards the pathogen, (ii) sustainable activity based on the stability of the coating, and (iii) the lowest possible toxicity for humans and reduced risks for the environment. Striking a compromise between these different challenges is difficult and requires more research.
    Keywords: active packaging ; chitosan ; methylcellulose ; natamycin ; antimicrobial action ; quaternary ammonium groups ; acrylic acid ; glycidyl methacrylate ; crosslinking reaction ; coating ; edible films ; edible coatings ; antimicrobial agents ; fresh fish ; spoilage ; shelf-life ; black anther disease ; orchid cut flower ; silver nanoparticles ; antifouling efficacy ; flow-through ; triangular box ; Amphibalanus amphitrite ; cuprous oxide ; dynamic aging ; repellant activity ; raft experiment ; bioassay ; biofouling of ships’ hull ; polypropylene ; hernia meshes ; antibacterial ; drug release ; polydopamine ; antimicrobial ; citric acid ; cross-linked ; cold plasma ; antimicrobial activity ; brilliant green ; crystal violet ; demethylation ; lignin ; polyurethane coatings ; triphenylmethane dyes ; 3D printing ; catheters ; dialysis ; extrusion ; infections ; manufacturing ; infection ; coatings ; silver ; nanomaterials ; plasma deposition ; titanium-based thin films ; copper ; magnetron sputtering ; super-elastic coatings ; E. coli inactivation ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    Frontiers Media SA
    Publication Date: 2024-04-05
    Description: Glial cells are no longer considered passive bystanders in neuronal brain circuits. Not only are they required for housekeeping and brain metabolism, they are active participants in regulating the physiological function and plasticity of brain circuits and the online control of behavior both in invertebrate and vertebrate model systems. In invertebrates, glial cells are essential for normal function of sensory organs (C. elegans) and necessary for the circadian regulation of locomotor activity (D. melanogaster). In the mamallian brain, astrocytes are implicated in the regulation of cortical brain rhythms and sleep homeostasis. Disruption of AMPA receptor function in a subset of glial cell types in mice shows behavioral deficits. Furthermore, genetic disruption of glial cell function can directly control behavioral output. Regulation of ionic gradients by glia can underlie bistability of neurons and can modulate the fidelity of synaptic transmission. Grafting of human glial progenitor cells in mouse forebrain results in human glial chimeric mice with enhanced plasticity and improved behavioral performance, suggesting that astrocytes have evolved to cope with information processing in more complex brains. Taken together, current evidence is strongly suggestive that glial cells are essential contributors to information processing in the brain. This Research Topic compiles recent research that shows how the molecular mechanisms underlying glial cell function can be dissected, reviews their impact on plasticity and behavior across species and presents novel approaches to further probe their function.
    Keywords: RC321-571 ; Q1-390 ; Cerebellum ; C. elegans ; Astrocytes ; DREADD ; Cortex ; plasticity ; Gq ; Behavior ; glia ; Hippocampus ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 25
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 26
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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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  • 27
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 28
    Publication Date: 2024-04-05
    Description: Newborn Screening for Sickle Cell Disease and other Haemoglobinopathies is a Special Issue of the International Journal of Neonatal Screening. Sickle cell disease is one of the most common inherited blood disorders, with a huge impact on health care systems due to high morbidity and high mortality associated with the undiagnosed disease. Newborn screening helps to make the diagnosis early and to prevent fatal complications and diagnostic odysseys. This book gives an overview of diagnostic standards in newborn screening for sickle cell disease and examples of existing newborn screening programs.
    Keywords: QD1-999 ; Q1-390 ; glucose-6-phosphate dehydrogenase ; hydroxyurea/hydroxycarbamide ; n/a ; cord blood ; screening ; hemoglobin pattern ; capillary electrophoresis ; sickle cell disease ; (recommended) screening panel ; vaso-occlusive crisis ; Guthrie spots ; newborn screening) ; foetal haemoglobin ; harmonisation ; review ; birth prevalence ; G6PD deficiency ; prevention ; end-organ damage ; thalassemia ; MALDI-TOF ; IEF ; acute chest syndrome ; India ; sickle cell and thalassaemia screening programme ; ‘Getting to Outcomes’ ; newborn screening ; hemoglobinopathy ; service users ; public health engagement ; automated HPLC ; Kaduna State ; gene therapy for haemoglobinopathies ; ?-globin gene ; methods ; neonatal screening program ; malaria ; Plasmodium vivax ; sub-Saharan Africa ; patient organisations ; health policy ; pathophysiology ; Sickle Cell Disease ; mass spectrometry ; sickle cell disorder ; neonatal screening ; non-tribal ; Nigeria ; point-of-care ; HPLC ; laboratory methods ; registry ; patient advocacy ; bone marrow transplant ; anaemia ; hemoglobinopathies ; tribal ; newborn ; burden of disease ; patient representatives ; diagnostics ; policy making ; haemolysis ; Caribbean ; high performance liquid chromatography (HPLC) ; sickle cell disease (SCD) ; implementation science ; thema EDItEUR::P Mathematics and Science::PN Chemistry
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  • 29
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Supply Chain 4.0 is designed, planned, managed and optimized using Industry 4.0 technologies. There are many research issues and challenges associated with Supply Chain 4.0, a data rich complex system. The available data can interpret what happened in the past, what is currently happening, what will happen in the future and what are the best actionable decisions. Digitalization, visibility, connectivity and interoperability are integrated in Supply Chain 4.0. The operational, tactical and strategic plans across the supply chain are digitally interlinked and real-time synchronized with a 360-degree view. The win–win partnerships are dynamic and sustainable, with agility, flexibility and responsiveness to uncertain business environments. New models and methods are advocated to implement Supply Chain 4.0 research and development. With the progress and implementation of Industry 4.0 technologies, it is anticipated that there will be more and more breakthroughs in the models and methods of Supply Chain 4.0. This Special Issue will serve as a helpful reference for Supply Chain 4.0 researchers and practitioners.
    Keywords: Industry 4.0 ; supply chain management and optimization ; Supply Chain 4.0 ; supply chain analytics ; supply chain visibility and connectivity ; supply chain synchronization and coordination ; sustainable supply chain management&nbsp ; 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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  • 30
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Microfluidic platforms are increasingly being used for separating a wide variety of particles based on their physical and chemical properties. In the past two decades, many practical applications have been found in chemical and biological sciences, including single cell analysis, clinical diagnostics, regenerative medicine, nanomaterials synthesis, environmental monitoring, etc. In this Special Issue, we invited contributions to report state-of-the art developments in the fields of micro- and nanofluidic separation, fractionation, sorting, and purification of all classes of particles, including, but not limited to, active devices using electric, magnetic, optical, and acoustic forces; passive devices using geometries and hydrodynamic effects at the micro/nanoscale; confined and open platforms; label-based and label-free technology; and separation of bioparticles (including blood cells), circulating tumor cells, live/dead cells, exosomes, DNA, and non-bioparticles, including polymeric or inorganic micro- and nanoparticles, droplets, bubbles, etc. Practical devices that demonstrate capabilities to solve real-world problems were of particular interest.
    Keywords: thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 31
    Publication Date: 2024-04-09
    Description: The aim of this work was to identify the patterns that can induce heating around implanted cardiac pacemakers during MRI and to develop strategies to counteract them. Two approaches were taken: computer simulations of the occurring electromagnetic field distributions and in-vitro experiments using phantoms in real MRI devices, both for conventional bore-hole and new open MRI systems. Using the open MRI, the observed heating could be reduced significantly.
    Keywords: T1-995 ; pacemaker ; MRI ; numerical field calculation ; biomedical engineering ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 32
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; 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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  • 33
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    RAND Corporation
    Publication Date: 2024-04-14
    Description: This report discusses the information revolution in the Asia-Pacific region and its likely course over the next five to ten years. Key questions addressed in this report include the extent to which the information revolution has taken hold of markets in this region, the political implications of the information revolution for Asian governments, the variations between individual countries, and the prospects for further information-technology-related developments in the region.
    Keywords: Technology ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZM Information architecture ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 34
    Publication Date: 2024-04-05
    Description: In this EBook, we highlight how newly emerging techniques for non-invasive manipulation of the human brain, combined with simultaneous recordings of neural activity, contribute to the understanding of brain functions and neural dynamics in humans. A growing body of evidence indicates that the neural dynamics (e.g., oscillations, synchrony) are important in mediating information processing and networking for various functions in the human brain. Most of previous studies on human brain dynamics, however, show correlative relationships between brain functions and patterns of neural dynamics measured by imaging methods such as electroencephalography (EEG), magnetoencephalography (MEG), near-infrared spectroscopy (NIRS), positron emission tomography (PET) and functional magnetic resonance imaging (fMRI). In contrast, manipulative approaches by non-invasive brain stimulation (NIBS) have been developed and extensively used. These approaches include transcranial magnetic stimulation (TMS) and transcranial electric stimulation (tES) such as transcranial direct current stimulation (tDCS), alternating current stimulation (tACS), and random noise stimulation (tRNS), which can directly manipulate neural dynamics in the intact human brain. Although the neural-correlate approach is a strong tool, we think that manipulative approaches have far greater potential to show causal roles of neural dynamics in human brain functions. There have been technical challenges with using manipulative methods together with imaging methods. However, thanks to recent technical developments, it has become possible to use combined methods such as TMS–EEG coregistration. We can now directly measure and manipulate neural dynamics and analyze functional consequences to show causal roles of neural dynamics in various brain functions. Moreover, these combined methods can probe brain excitability, plasticity and cortical networking associated with information processing in the intact human brain. The contributors to this EBook have succeeded in showcasing cutting-edge studies and demonstrate the huge impact of their approaches on many areas in human neuroscience and clinical applications.
    Keywords: RC321-571 ; Q1-390 ; non-invasive brain stimulation NIBS ; TMS-EEG ; Transcranial magnetic stimulation TMS ; transcranial electric stimulation tES ; Coregistration ; Near-infrared spectroscopy NIRS ; Functional magnetic resonance imaging fMRI ; transcranial direct current stimulation tDCS ; transcranial alternating current stimulation tACS ; transcranial random noise stimulation tRNS ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 35
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    MDPI - Multidisciplinary Digital Publishing Institute
    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
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  • 36
    Publication Date: 2024-04-05
    Description: Bálint’s syndrome is named after the Hungarian physician who first reported a remarkable case of a man with complex visuospatial deficits following bilateral lesions within parietal and occipital cortex (Bálint, 1909). The syndrome has three primary symptoms: simultanagnosia (impaired spatial awareness of more than one object at time), optic ataxia (misreaching to visual targets) and ocular apraxia (described by Bálint as “psychic paralysis of gaze”). Balint’s patients not only cannot perceive more than one object at time and therefore show poor comprehension of multi-object visual scenes i.e. poor detection of all the objects present and difficulty in grasping the relationship between them; in addition they typically fail to reach towards location of the single object, which they can perceive. The deficit of the allocation of spatial attention in Balint’s syndrome has been linked to a problem in feature binding which results in illusory conjunctions. Patients with Balint’s syndrome also show deficits in global processing i.e. when integration of multiple local elements into global compound shapes is required. Consequently, Balint’s syndrome provides a unique opportunity to study the nature and neuroanatomy of human visuospatial processing, in particular multi-level object representation, spatial awareness and the distribution of visual attention. The studies collected here cover both the anatomical and the cognitive mechanisms of the different symptoms associated with the syndrome. Furthermore, the dissociations between the components of Bálints’ syndrome, in particular simultanagnosia and optic ataxia, can also co-occur with visual neglect and extinction and the different combinations of reported lesions raises a question about the status of the syndrome and whether it should be merely treated as a historical compilation of symptoms which may or may not coexist cohesively. This interesting argument is raised here.
    Keywords: RC321-571 ; Q1-390 ; posterior cortical atrophy ; Balints syndrome ; optic ataxia ; Posterior parietal cortex ; simultanagnosia ; ocular apraxia ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 37
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    KIT Scientific Publishing
    Publication Date: 2024-04-09
    Description: In this work, the realization limits of an impulse-based Ultra-Wideband (UWB) localization system for indoor applications have been thoroughly investigated and verified by measurements. The analysis spans from the position calculation algorithms, through hardware realization and modeling, up to the localization experiments conducted in realistic scenarios. The main focus was put on identification and characterization of limiting factors as well as developing methods to overcome them.
    Keywords: T1-995 ; localization ; UWB ; transceiver ; positioning ; ultra-wideband ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 38
    Publication Date: 2024-04-05
    Description: The tale of cyclic GMP has been astonishing. Having overcome an initial disbelief, cyclic GMP has risen to its present eminence as a premium cellular signal transduction messenger of not only hormonal extracellular but also of the intracellular signals. This research topic focuses on the pathways and functions of membrane guanylate cyclases in different tissues of the body and their interplay with intracellular sensory signals where in many cases, cyclic GMP along with Ca2+ have taken on roles as synarchic co-messengers.
    Keywords: RC321-571 ; Q1-390 ; Glaucoma ; Visceral Pain ; Calcium ; membrane guanylate cyclase ; ANF-RGC ; Gene Therapy ; Cyclic GMP ; synaptic plasticity ; trafficking ; ROS-GC ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 39
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book has focused on novel developments and advancements in the field of heterogeneous catalysis with the aim of greenhouse gas reduction. The book determines whether carbon dioxide is a crisis or an opportunity, as well as its conversion into useful products such as synthesis gas. Moreover, the selective catalytic removal of nitrogen oxides is also presented.
    Keywords: Al2O3 ; CO2 reforming ; La2O3 ; CH4 ; ZrO2 ; perovskites ; strontium ; cerium ; hydrogen ; sintering ; carbon deposition ; BiF3 nanostructure ; POP composite ; photocatalyst ; Rz ink ; CO2 ; stability ; H-ZSM-5 ; greenhouse gas reduction ; CeO2 ; MgO ; dry reforming ; heterogeneous catalysis ; in situ XRD ; carbon dioxide (CO2) ; carbon monoxide (CO) ; CO2 feedstock ; methanation ; catalyst ; catalysis ; photocatalysis ; Power-to-Gas ; catalyst design ; heterogenous catalysts database ; ceramic foams ; ZnO nanorods ; TiO2 nanorods ; NOx mitigation (deNOx) ; environmental nanocatalysis ; selective catalytic reduction SCR ; W and V catalytic sites ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
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  • 40
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    IntechOpen | IntechOpen
    Publication Date: 2024-04-04
    Description: Numerical simulation is a powerful tool used in various fields of science and engineering to model complex systems and predict their behavior. It involves developing mathematical models that describe the behavior of a system and using computer algorithms to solve these models numerically. By doing so, researchers and engineers can study the behavior of a system in detail, which may only be possible with analytical methods. Numerical simulation has many advantages over traditional analytical methods. It allows researchers and engineers to study complex systems’ behavior in detail and predict their behavior in different scenarios. It also allows for the optimization of systems and the identification of design flaws before they are built. However, numerical simulation has its limitations. It requires significant computational resources, and the accuracy of the results depends on the quality of the mathematical models and the discretization methods used. Nevertheless, numerical simulation remains a valuable tool in many fields and its importance is likely to grow as computational resources become more powerful and widely available. Numerical simulation is widely used in physics, engineering, computer science, and mathematics. In physics, for example, numerical simulation is used to study the behavior of complex systems such as weather patterns, fluid dynamics, and particle interactions. In engineering, it is used to design and optimize systems such as aircraft, cars, and buildings. In computer science, numerical simulation models and optimization algorithms and data structures. In mathematics, it is used to study complex mathematical models and to solve complex equations. This book familiarizes readers with the practical application of the numerical simulation technique to solve complex analytical problems in different industries and sciences.
    Keywords: machine learning ; artificial intelligence ; optimization ; heat transfer ; cfd ; image processing ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
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  • 41
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor.
    Keywords: finite element method ; thin shell model ; β dispersion ; Maxwell–Wagner effect ; bio-impedance spectroscopy ; multisensory ; electromyography ; pattern recognition ; rehabilitation ; blood coagulation ; image sensing ; image classification ; electrical impedance tomography ; frequency difference ; time difference ; lung imaging ; electromagnetic detection and biosensors ; electromagnetic biological theory ; biomedical application ; frequency ; machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 42
    Publication Date: 2024-04-05
    Description: In the search for simple explanations of the natural world, its complicated textures are often filed down to a smoothened surface of our liking. The impetus for this Research Topic was borne out of a need to re-ignite interest in the complex – in this case in the context of ion channels in the nervous system. Ion channels are the large proteins that form regulated pores in the membranes of cells and, in the brain, are essential for the transfer, processing and storage of information. These pores full of twists and turns themselves are not just barren bridges into cells. More and more we are beginning to understand that ion channels are like bustling medieval bridges (packed with apartments and shops) rather than the more sleek modern variety – they are dynamic hubs connected with many structures facilitating associated activities. Our understanding of these networks continues to expand as our investigative tools advance. Together these articles highlight how the complexity of ion channel signaling nexuses is critical to the proper functioning of the nervous system.
    Keywords: RC321-571 ; Q1-390 ; Nervous System ; Ion Channels ; Interactome ; cellular signaling ; Protein complexes ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 43
    Publication Date: 2024-04-05
    Description: Genome-wide association studies (GWAS) for complex disorders with large case-control populations have been performed on hundreds of traits in more than 1200 published studies (http://www.genome.gov/gwastudies/) but the variants detected by GWAS account for little of the heritability of these traits, leading to an increasing interest in using family based designs. While GWAS studies are designed to find common variants with low to moderate attributable risks, family based studies are expected to find rare variants with high attributable risk. Because family-based designs can better control both genetic and environmental background, this study design is robust to heterogeneity and population stratification. Moreover, in family-based analysis, the background genetic variation can be modeled to control the residual variance which could increase the power to identify disease associated rare variants. Analysis of families can also help us gain knowledge about disease transmission and inheritance patterns. Although a family-based design has the advantage of being robust to false positives, novel and powerful methods to analyze families in genetic epidemiology continue to be needed, especially for the interaction between genetic and environmental factors associated with disease. Moreover, with the rapid development of sequencing technology, advances in approaches to the design and analysis of sequencing data in families are also greatly needed. The 11 articles in this book all introduce new methodology and, using family data, substantial new findings are presented in the areas of infectious diseases, diabetes, eye traits, autism spectrum disorder and prostate cancer.
    Keywords: QH426-470 ; Q1-390 ; Regional heritability ; prostate cancer ; infectious diseases ; MCMC ; combining studies screening ; conditional-logistic linkage ; Informatics ; autism ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
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  • 44
    Publication Date: 2024-04-11
    Description: Describes a framework to guide assessments of the availability of data regarding U.S. anti- and counterterrorism systems, countermeasures, and defenses for planning attacks on the U.S. air, rail, and sea transportation infrastructure. Overall, the framework is useful for assessing what kind of information would be easy or hard for potential attackers to find.
    Keywords: Technology ; Transportation Studies ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WG Transport: general interest
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  • 45
    Publication Date: 2022-01-31
    Description: This eBook presents illustrative examples of genetic chaperonopathies affecting primarily nerves and muscles and discusses molecular mechanisms and treatment targeting chaperones, i.e., chaperonotherapy.
    Keywords: Q1-390 ; small-Hsp ; Hsp60/CCT/BBS ; Indirect/Secondary Chaperonopathies ; Genetic Chaperonopathies ; Hsp40/DnaJ ; chaperonotherapy
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  • 46
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 47
    Publication Date: 2024-04-05
    Description: Virus-caused asthma, we now call a phenotype of asthma. Regardless of the significance and popularity of this disease, the etiology of the virus-induced asthma have not well understood. In addition, a few effective vaccines have been applied to prevent respiratory virus infection. To solve the issues, it is essential to clarify and delineate both aspects of the virus and host defense systems including acute/chronic inflammation and airway tissue remodeling. To deeply review and discuss pathophysiology and epidemiology of virus-induced asthma, this topics includes new findings of the host immunity, pathology, epidemiology, and virology of asthma/chronic obstructive pulmonary disease (COPD). We believe that these works are well summarized and informative to glimpse the field of virus- associated asthma and COPD, and may help understanding the basic and clinical aspects of the diseases.
    Keywords: QR1-502 ; QK1-989 ; Q1-390 ; virus-induced asthma ; Pathology ; respiratory virus ; human immunity ; Epidemiology ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSG Microbiology (non-medical)
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  • 48
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The ongoing deployment of 5G networks is a key enabler for realizing upcoming services at scale, including the massive deployment of the Internet of Things, providing communications to support autonomous vehicles, and supporting the realization of smart cities. However, as the limitations of existing approaches become apparent, the need for next-generation technologies is growing, in terms of improving spectral efficiency, increasing network data rates and densification, supporting local/wide area wireless coordination, and more. In this Special Issue, we present some technologies to meet these demanding requirements and facilitate coordinating wireless networks to support future Beyond 5G networks.
    Keywords: 5G fiber optic networks ; data-driven service assurance ; next generation networks ; predictive analytics ; live-video delivery ; 5G networks ; virtualized content delivery networks ; network function virtualization ; service function chain deployment ; deep reinforcement learning ; MAC classification ; vehicular networks ; VANETs ; distributed MAC ; centralized MAC ; multi-channel MAC ; single-channel MAC ; spectrum allocation ; private 5G ; mmWave RAN ; modulation and coding schemes ; spectral efficiency ; self-organization ; self-optimization ; self-healing ; SON applications and architecture ; SON design and dimensioning ; machine learning (ML) and artificial intelligence (AI) for SON ; massive Machine-Type Communication (mMTC) ; IoT ; URLLC ; backhauling ; SON for 3G/4G ; 5G and B5G 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::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
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  • 49
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    Frontiers Media SA
    Publication Date: 2024-04-05
    Description: Transfer cells are anatomically specialized cells optimized to support high levels of nutrient transport in plants. These cells trans-differentiate from existing cell types by developing extensive and localized wall ingrowth labyrinths to amplify plasma membrane surface area which in turn supports high densities of membrane transporters. Unsurprisingly, therefore, transfer cells are found at key anatomical sites for nutrient acquisition, distribution and exchange. Transfer cells are involved in delivery of nutrients between generations and in the development of reproductive organs and also facilitate the exchange of nutrients that characterize symbiotic associations. Transfer cells occur across all taxonomic groups in higher plants and also in algae and fungi. Deposition of wall ingrowth-like structures are also seen in “syncytia” and “giant cells” which function as feeding sites for cyst and root-knot nematodes, respectively, following their infection of roots. Consequently, the formation of highly localized wall ingrowth structures in diverse cell types appears to be an ancient anatomical adaption to facilitate enhanced rates of apoplasmic transport of nutrients in plants. In some systems a role for transfer cells in the formation of an anti-pathogen protective barrier at these symplastic discontinuities has been inferred. Remarkably, the extent of cell wall ingrowth development at a particular site can show high plasticity, suggesting that transfer cell differentiation might be a dynamic process adapted to the transport requirements of each physiological condition. Recent studies exploiting different experimental systems to investigate transfer cell biology have identified signaling pathways inducing transfer cell development and genes/gene networks that define transfer cell identity and/or are involved in building the wall ingrowth labyrinths themselves. Further studies have defined the structure and composition of wall ingrowths in different systems, leading in many instances to the conclusion that this process may involve previously uncharacterized mechanisms for localized wall deposition in plants. Since transfer cells play important roles in plant development and productivity, the latter being relevant to crop yield, especially so in major agricultural species such as wheat, barley, soybean and maize, understanding the molecular and cellular events leading to wall ingrowth deposition holds exciting promise to develop new strategies to improve plant performance, a key imperative in addressing global food security. This Research Topic presents a timely and comprehensive treatise on transfer cell biology to help define critical questions for future research and thereby generating a deeper understanding of these fascinating and important cells in plant biology.
    Keywords: QK1-989 ; Q1-390 ; Wall ingrowth ; Arabidopsis thaliana ; synctial cells ; Zea mays ; transfer cells ; endosperm transfer cells ; Giant Cells ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
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  • 50
    Publication Date: 2024-04-05
    Description: Research during the past decade highlights the strong link between appetitive feeding behavior, reward and motivation. Interestingly, stress levels can affect feeding behavior by manipulating hypothalamic circuits and brain dopaminergic reward pathways. Indeed, animals and people will increase or decrease their feeding responses when stressed. In many cases acute stress leads to a decrease in food intake, yet chronic social stressors are associated to increases in caloric intake and adiposity. Interestingly, mood disorders and the treatments used to manage these disorders are also associated with changes in appetite and body weight. These data suggest a strong interaction between the systems that regulate feeding and metabolism and those that regulate mood. This Research Topic aims to illustrate how hormonal mechanisms regulate the nexus between feeding behavior and stress. It focuses on the hormonal regulation of hypothalamic circuits and/or brain dopaminergic systems, as the potential sites controlling the converging pathways between feeding behavior and stress.
    Keywords: RC321-571 ; Q1-390 ; stress ; Obesity ; Dopamine ; Ghrelin ; Leptin ; Seasonal regulation ; feeding ; HPA axis ; Hypothalamus ; circadian rhythms ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 51
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book covers the latest development of bioprocess technology including theoretical, numerical, and experimental approaches in biotechnology as well as green technology that bridge conventional practices and Industry 4.0. Bioprocessing is one of the key factors in several emerging industries of biofuels, used in the production of biogas, bioethanol, and biodiesel; industrial enzymes; waste management through biotechnology; new vaccines; and many more. It is hoped that the novel bioprocess and green biotechnologies presented in this book are useful in assisting the global community in working towards fulfilling the Sustainable Development Goals (SDG) of the United Nations.
    Keywords: extraction ; leaf ; liquid biphasic flotation ; polygonum ; protein ; date fruits ; proximate analysis ; physico-chemical characteristics ; date sugar ; phytoconstituents ; amino acids ; biomaterials ; Ficus carica ; diabetes mellitus ; proteomics ; sperm quality ; bioeconomy ; bioprocesses ; applications ; policy ; social welfare ; sustainability ; nanofiltration ; lipase ; Fusarium heterosporum ; fatty acid methyl ester ; electronics package ; induction heating ; magnetic field ; electric field ; TM110 single-mode cavity ; solder ; eddy current ; GABA ; fermented food ; functional food ; non-protein amino acid ; soy sauce fermentation ; lignocellulosic biomass ; holocellulose ; CMC ; degree of substitution ; excipient ; non-edible ; oil ; biodiesel production ; fuel ; Lactobacillus isolation ; lag phase ; bacteria sequencing ; breast milk ; chitosan ; co-loaded nanoparticles ; hydrophobic modification ; l-ascorbic acid ; thymoquinone ; sustainable supply chain management (SSSCM) ; social sustainability ; qualitative research ; Pakistan ; biohydrogen production ; immobilised cells ; entrapment ; alginate ; activated carbon ; carbon dioxide ; culture media ; microorganism ; optimization ; plant growth promoting rhizobacteria ; oil palm seedlings nursery ; biofertilizers ; chemical fertilizer ; n/a ; sago hampas ; amylase ; cellulase ; substrate feeding ; saccharification ; biomass ; waste cooking oil ; green fuel ; biodiesel ; heterogeneous catalyst ; deoxygenation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 52
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: This Special Issue contains one review and five original articles, all of which address cutting-edge research in the field of water and environmental virology. The review article by Gerba and Betancourt summarizes the current status and future needs for the development of virus detection methods in water reuse systems, especially focusing on methods to assess the infectivity of enteric viruses. Original papers cover a variety of research topics, such as an environmental monitoring survey of group A rotaviruses in sewage and oysters in Japan, the occurrence and genetic diversity of noroviruses and rotaviruses in a wastewater reclamation system in China, the detection of viruses and their indicators in tanker water and its sources in Nepal, integrated culture next-generation sequencing to identify the diversity of F-specific RNA coliphages in wastewater, and the development of a portable collection and detection method for viruses from ambient air and its application to a wastewater treatment plant.
    Keywords: Q1-390 ; reuse ; aerosols ; viral indicator ; wastewater treatment ; microbial contamination ; index virus ; real-time PCR ; tanker water ; virus ; wastewater reclamation ; pathogenic virus ; infectivity ; chlorination ; molecular methods ; wastewater ; next-generation sequencing ; fecal source tracking ; oyster ; fecal-source marker ; viral contamination ; cell culture ; pathogenic microorganisms ; rotavirus ; ultraviolet disinfection ; F-specific RNA bacteriophage strain ; sewage ; waterborne gastroenteritis viruses ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 53
    Publication Date: 2024-04-05
    Description: euromodulation is among the fastest-growing areas of medicine, involving many diverse specialties and affecting hundreds of thousands of patients with numerous disorders worldwide. It can briefly be described as the science of how electrical, chemical, and mechanical interventions can modulate the nervous system function. A prominent example of neuromodulation is deep brain stimulation (DBS), an intervention that reflects a fundamental shift in the understanding of neurological and psychiatric diseases: namely as resulting from a dysfunctional activity pattern in a defined neuronal network that can be normalized by targeted stimulation. The application of DBS has grown remarkably and more than 130,000 patients worldwide have obtained a DBS intervention in the past 30 years—most of them for treating movement disorders. This Frontiers Research Topics provides an overview on the current discussion beyond basic research in DBS and other brain stimulation technologies. Researchers from various disciplines, who are working on broader clinical, ethical and social issues related to DBS and related neuromodulation technologies, have contributed to this research topic.
    Keywords: RC321-571 ; Q1-390 ; Informed Consent ; Deep Brain Stimulation ; Depression ; Neurosurgery ; Movement Disorders ; Neuromodulation ; Enhancement ; Neuroethics ; Philosophy ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 54
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Food waste is becoming an important and growing concern at both local and global levels. According to the Food and Agriculture Organization of the United Nations (FAO), one-third of all food production is wasted globally, and in particular, 1.3 billion tons of food produced for human consumption is wasted per year, representing an economic loss of EUR 800 billion. The main foods wasted are represented by vegetables, fruits, meat, and fish. Considering the high availability and the composition of food waste, there is an increasing interest in their bio-valorization. Moreover, according to the global Sustainable Development Goals (SDGs 12 and 13), an appropriate waste management represents an essential prerequisite for the sustainable development.This reprint collects interesting manuscripts regarding innovative research focused on food waste valorization through fermentation processes for obtaining value-added products such as enzymes, feed additives, biofuels, animal feeds as well as other useful chemicals or products, food-grade pigments, and single-cell protein (SCP), enhancing food security and environmentally sustainable development.
    Keywords: industrial food waste ; valorization ; biorefinery ; bioenergy ; biobased materials ; promotion policy ; rice husk ; pyrolysis ; porous biochar ; pore property ; surface composition ; microbial red pigment ; Monascus purpureus ; simultaneous hydrolysis and fermentation ; sustainability ; whey ; RSM ; bioethanol ; yeast fermentation ; sugar beet molasses ; industrial by-product ; scale-up ; agricultural waste ; wastewater ; microbial fuel cell ; techno-economic ; commercialization ; life cycle assessment ; Neurospora intermedia ; bread ; process development ; cheese whey ; Aspergillus awamori ; β-galactosidase ; lactose hydrolysis ; Acetobacter xylinum ; bacterial cellulose ; biosurfactant ; bioemulsifier ; waste frying oil ; Bacillus cereus ; food additives ; cookie ; microalgae ; DHA ; lignocellulosic biomass ; organosolv fractionation ; liquid fraction ; solid pulp ; omega-3 fatty acids ; soap ; olives ; olive oil ; fermentation ; food waste ; fish waste ; citrus peel ; aquafeed ; Saccharomyces cerevisiae ; Lactobacillus reuteri ; whey product ; proteins ; ultrafiltration ; nanofiltration ; keratinocytes scratch assay ; mozzarella cheese manufacturing ; pressing residue ; grape ; apple ; silage ; animal production ; enzyme production ; polyphenols ; Juglans regia L. ; walnut green husk ; agricultural wastes ; soil conditions ; glucans ; pectins ; Aspergillus oryzae ; rice hull ; paper mill wastewater ; bioremediation ; amylase ; solid-state fermentation (SSF) ; goat feeding ; durian peel ; silage additives ; propionate ; methane mitigation ; nitrogen balance ; waste management ; biofuel production ; circular economy ; single cell protein ; value-added product ; food and feed production ; yeast ; probiotics ; 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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  • 55
    Publication Date: 2024-03-29
    Description: The integration of multisensory information is an essential mechanism in perception and in controlling actions. Research in multisensory integration is concerned with how the information from the different sensory modalities, such as the senses of vision, hearing, smell, taste, touch, and proprioception, are integrated to a coherent representation of objects. Multisensory integration is central for action control. For instance, when you grasp for a rubber duck, you can see its size and hear the sound it produces. Moreover, identical physical properties of an object can be provided by different senses. You can both see and feel the size of the rubber duck. Even when you grasp for the rubber duck with a tool (e.g. with tongs), the information from the hand, from the effect points of the tool and from the eyes are integrated in a manner to act successfully. Over the recent decade a surge of interest in multisensory integration and action control has been witnessed, especially in connection with the idea that multiple sensory sources are integrated in an optimized way. For this perspective to mature, it will be helpful to delve deeper into the information processing mechanisms and their neural correlates, asking about the range and constraints of this mechanisms, about its localization and involved networks.
    Keywords: BF1-990 ; Q1-390 ; recalibration ; haptic ; Human Information Processing ; Vision ; Perception ; reference frame ; Acoustics ; Tool Use ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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  • 56
    Publication Date: 2024-04-05
    Description: Volume I, entitled “Augmentation of Brain Functions: Brain-Machine Interfaces”, is a collection of articles on neuroprosthetic technologies that utilize brain-machine interfaces (BMIs). BMIs strive to augment the brain by linking neural activity, recorded invasively or noninvasively, to external devices, such as arm prostheses, exoskeletons that enable bipedal walking, means of communication and technologies that augment attention. In addition to many practical applications, BMIs provide useful research tools for basic science. Several articles cover challenges and controversies in this rapidly developing field, such as ways to improve information transfer rate. BMIs can be applied to the awake state of the brain and to the sleep state, as well. BMIs can augment action planning and decision making. Importantly, BMI operations evoke brain plasticity, which can have long-lasting effects. Advanced neural decoding algorithms that utilize optimal feedback controllers are key to the BMI performance. BMI approach can be combined with the other augmentation methods; such systems are called hybrid BMIs. Overall, it appears that BMI will lead to many powerful and practical brain-augmenting technologies in the future.
    Keywords: RC321-571 ; Q1-390 ; microcircuits ; Brain machine interface (BMI) ; nootropics ; tDCStranscranial direct current stimulation ; neural networks ; neuroprosthesis ; TMS ; implants ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 57
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book, consisting of 21 articles, including three review papers, written by research groups of experts in the field, considers recent research on reinforced polymer composites. Most of them relate to the fiber-reinforced polymer composites, which are a real hot topic in the field. Depending on the reinforcing fiber nature, such composites are divided into synthetic and natural fiber-reinforced ones. Synthetic fibers, such as carbon, glass, or basalt, provide more stiffness, while natural fibers, such as jute, flax, bamboo, kenaf, and others, are inexpensive and biodegradable, making them environmentally friendly. To acquire the benefits of design flexibility and recycling possibilities, natural reinforcers can be hybridized with small amounts of synthetic fibers to make them more desirable for technical applications. Elaborated composites have great potential as structural materials in automotive, marine and aerospace application, as fire resistant concrete, in bridge systems, as mechanical gear pair, as biomedical materials for dentistry and orthopedic application and tissue engineering, as well as functional materials such as proton-exchange membranes, biodegradable superabsorbent resins and polymer electrolytes.
    Keywords: glass fibers ; surface modification ; polyethersulfone ; impregnation ; composite materials ; mechanical properties ; damping properties ; stability ; 3D printing ; composites ; DLP ; lignocellulose ; nanoindentation ; fiber-reinforced polymer ; natural fibers ; synthetic fibers ; PET fiber ; PP ; compatibility ; modification ; co-injection molding ; fiber reinforced plastics (FRP) ; fiber orientation distribution (FOD) ; micro-computerized tomography (μ-CT) scan technology ; bearing ; salt fog aging ; glass-flax hybrid coposites ; pinned joints ; failure modes ; polymer-matrix composites ; carbon fibers ; polysulfone ; rubber ; short jute fibers ; surface treatments ; scanning electron microscopy ; PVA ; CMC ; Na2CO3 ; film ; hydrogel mechanical properties ; nanocomposites ; double-network hydrogels ; polymer–nanoparticle interactions ; bamboo-plastic composites (BPCs) ; waste bamboo fibers ; chemical composition ; physico-mechanical properties ; thermal decomposition kinetics ; PEEK composites ; reinforcements ; self-lubricating bush ; friction and wear ; pin joints ; flat slab ; two-way shear ; carbon fiber reinforced polymers ; glass fiber reinforced polymers ; natural rubber ; maleated natural rubber ; palm stearin ; halloysite nanotubes ; heat treatment ; surface modification of staple carbon fiber ; natural rubber latex ; reinforcement mechanism ; dopamine ; rubber composite ; bifunctionally composite ; sulfonic acid based proton exchange membrane ; silica nanofiber ; mechanical stability ; high temperature fuel cell ; polyetherimide ; polycarbonate ; polyphenylene sulfone ; kenaf fibre ; glass fibre ; hybrid composites ; low velocity impact ; damage progression ; bamboo ; n/a ; poly (lactic acid) (PLA) ; wastes rubber ; recycling ; tensile properties ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 58
    Publication Date: 2024-04-09
    Description: This work has arisen out of the strong demand for a superior power-added efficiency (PAE) of AlGaN/GaN high electron mobility transistor (HEMT) high-power amplifiers (HPAs) that are part of any advanced wireless multifunctional RF-system with limited prime energy. Different concepts and approaches on device and design level for PAE improvements are analyzed, e.g. structural and layout changes of the GaN transistor and advanced circuit design techniques for PAE improvements of GaN HEMT HPAs.
    Keywords: T1-995 ; MMIC design ; power amplifier ; AlGaN/GaN HEMT ; X-band ; power-added efficiency ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 59
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Bioelectric sensors are unique diagnostic principles and technologies. Although they share many traits with electrochemical sensors, especially regarding the common features of instrumentation, they are focused on the measurement of the electric properties of biorecognition elements as a reflection of cellular, biological, and biomolecular functions in a rapid, very sensitive, and often non-invasive manner. Bioelectric sensors offer a plethora of options in terms both of assay targets (molecules, cells, organs, and organisms) and methodological approaches (e.g., potentiometry, impedance spectrometry, and patch-clamp electrophysiology). Irrespective of the method of choice, “bioelectric profiling” is being rapidly established as a superior concept for a number of applications, including in vitro toxicity, signal transduction, real-time medical diagnostics, environmental risk assessment, and drug development. This Special Issue is the first that is exclusively dedicated to the advanced and emerging concepts and technologies of bioelectric sensors. Topics include, but are not restricted to, bioelectric sensors for single cell analysis, electrophysiological olfactory and volatile organic compounds sensors, impedimetric biosensors, microbial fuel cell biosensors, and implantable autonomous bioelectric micro- and nano-sensors.
    Keywords: organic optoelectronic device ; pulse meter ; biosensor ; Bluetooth low energy (BLE) ; photoplethysmogram (PPG) ; chronic wounds ; electrical stimulation ; direct microcurrent ; non-invasive ; pressure ulcer ; wireless technology ; biochips ; impedance spectroscopy ; electrical equivalent circuit ; biomaterial ; Lysinibacillus sphaericus JG-A12 ; anticancer therapeutic strategies ; apoptosis ; bioelectric ; 5-fluorouracil ; HeLa cell line ; superoxide ; cell immobilization ; 3D-printed well ; bioelectric profiling ; impedance analysis ; real-time measurements ; electrochemical biosensors ; SWCNT ; point-of-care diagnostics ; label-free biosensors ; ELISA ; carbon nanotubes ; bovine serum albumin ; pacemaker ; threat modeling ; internet of things (IoT) medical devices ; vulnerabilities ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 60
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.
    Keywords: data envelopment analysis ; Kohonen self-organizing maps ; factor analysis ; multiple regression ; energy efficiency ; social media ; energy-consuming activities ; energy consumption ; machine learning ; ontology ; energy performance certificate ; heating energy demand ; buildings ; data mining ; classification ; regression ; decision tree ; support vector machine ; random forest ; artificial neural network ; open data ; electrification modelling ; Malawi ; OnSSET ; MESSAGEix ; reproducibility ; collaborative work ; open modelling and data ; data-handling ; integrated assessment modelling ; data pre- and post-processing ; space heating ; domestic hot water ; market assessment ; EU28 ; district heating ; data analytics ; big data ; forecasting ; energy ; polygeneration ; clustering ; kNN ; pattern recognition ; heating ; building stock ; heat map ; spatial analysis ; heat density map ; building performance simulation ; parametric modelling ; energy management ; model calibration ; Passive House ; energy planning ; energy potential mapping ; urban energy atlas ; urban energy transition ; energy data ; data-aware planning ; spatial planning ; open data analytics ; smart cities ; open energy governance ; urban database ; energy mapping ; building dataset ; energy modelling ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 61
    Publication Date: 2024-04-05
    Description: Photosystem II is a 700-kDa membrane-protein super-complex responsible for the light-driven splitting of water in oxygenic photosynthesis. The photosystem is comprised of two 350-kDa complexes each made of 20 different polypeptides and over 80 co-factors. While there have been major advances in understanding the mature structure of this photosystem many key protein factors involved in the assembly of the complex do not appear in the holoenzyme. The mechanism for assembling this super-complex is a very active area of research with newly discovered assembly factors and subcomplexes requiring characterization. Additionally the ability to split water is inseparable from light-induced photodamage that arises from radicals and reactive O2 species generated by Photosystem II chemistry. Consequently, to sustain water splitting, a “self repair” cycle has evolved whereby damaged protein is removed and replaced so as to extend the working life of the complex. Understanding how the biogenesis and repair processes are coordinated is among several important questions that remain to be answered. Other questions include: how and when are the inorganic cofactors inserted during the assembly and repair processes and how are the subcomplexes protected from photodamage during assembly? Evidence has also been obtained for Photosystem II biogenesis centers in cyanobacteria but do these also exist in plants? Do the molecular mechanisms associated with Photosystem II assembly shed fresh light on the assembly of other major energy-transducing complexes such as Photosystem I or the cytochrome b6/f complex or indeed other respiratory complexes? The contributions to this Frontiers in Plant Science Research Topic are likely to reveal new details applicable to the assembly of a range of membrane-protein complexes, including aspects of self-assembly and solar energy conversion that may be applied to artificial photosynthetic systems. In addition, a deeper understanding of Photosystem II assembly — particularly in response to changing environmental conditions — will provide new knowledge underpinning photosynthetic yields which may contribute to improved food production and long-term food security.
    Keywords: QK1-989 ; Q1-390 ; Arabidopsis thaliana ; photoactivation ; photosynthesis ; Chlamydomonas reinhardtii ; cyanobacteria ; biogenesis ; Photosystem II ; photodamage ; Nicotiana tabacum ; Synechocystis sp. PCC 6803 ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
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  • 62
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Some terms, such as eco-friendly, circular economy and green technologies, have remained in our vocabulary, because the truth is that mankind is altering the planet to put its own subsistence at risk. Besides, for rationalization in the consumption of raw materials and energy, the recycling of waste through efficient and sustainable processes forms the backbone of the paradigm of a sustainable industry. One of the most relevant technologies for the new productive model is anaerobic digestion. Historically, anaerobic digestion has been developed in the field of urban wastes and wastewater treatments, but in the new challenge, its role is more relevant. Anaerobic digestion is a technologically mature biological treatment, which joins bioenergy production with the efficient removal of contaminants. This issue provides a specialized, but broad in scope, overview of the possibilities of the anaerobic digestion of lignocellulosic biomass (mainly forestry and agricultural wastes), which is expected to be a more promising substrate for the development of biorefineries. Its conversion to bioenergy through anaerobic digestion must solve some troubles: the complex lignocellulosic structure needs to be deconstructed by pretreatments and a co-substrate may need to be added to improve the biological process. Ten selected works advance this proposal into the future.
    Keywords: exhausted sugar beet pulp ; pig manure ; anaerobic co-digestion ; thermophilic ; lignocellulosic waste ; anaerobic digestion ; biogas ; optimization ; operating parameters ; review ; particle-rich substrate ; suspended solids disintegration ; disintegration kinetics ; cellulase ; lignocellulosic biomass ; pretreatment methods ; limitations ; hydro-thermal pretreatment ; biofuels ; feedstock and degradation pathway ; AD systems ; pretreatment technologies ; process stability ; codigestion ; rice straw ; nutrients ; recycling ; digestate ; methane ; corn residue ; organosolv pretreatment ; sugar beet by-products ; manure ; semi-continuous feeding mode ; methane improvement ; non-classical parameters ; sorghum mutant ; biomass ; soluble sugars ; dilute acid pretreatment ; one-pot process ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 63
    Publication Date: 2024-04-05
    Description: Big data is revolutionizing our ability to measure and study the human brain. New technology increases the resolution of images that are being study as well as enables researchers to study the brain as it functions. These technological advances are combined with efforts to collect neuroimaging data on large numbers of subjects, in some cases longitudinally. This combination of advances in measurement and scope of studies requires novel development in the statistical analysis. Fast, scalable, robust and accurate models and approaches need to be developed to make headway on these problems. This volume represents a unique collection of researchers providing deep insights on the statistical analysis of big neuroimaging data.
    Keywords: RC321-571 ; Q1-390 ; fMRI ; Neuroscience ; functional connectivity ; EEG ; Classification ; prediction ; big data ; MEG ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 64
    Publication Date: 2023-05-10
    Description: Current approaches to Natural Language Processing (NLP) have shown impressive improvements in many important tasks: machine translation, language modeling, text generation, sentiment/emotion analysis, natural language understanding, and question answering, among others. The advent of new methods and techniques, such as graph-based approaches, reinforcement learning, or deep learning, have boosted many NLP tasks to a human-level performance (and even beyond). This has attracted the interest of many companies, so new products and solutions can benefit from advances in this relevant area within the artificial intelligence domain.This Special Issue reprint, focusing on emerging techniques and trendy applications of NLP methods, reports on some of these achievements, establishing a useful reference for industry and researchers on cutting-edge human language technologies.
    Keywords: natural language processing ; distributional semantics ; machine learning ; language model ; word embeddings ; machine translation ; sentiment analysis ; quality estimation ; neural machine translation ; pretrained language model ; multilingual pre-trained language model ; WMT ; neural networks ; recurrent neural networks ; named entity recognition ; multi-modal dataset ; Wikimedia Commons ; multi-modal language model ; concreteness ; curriculum learning ; electronic health records ; clinical text ; relationship extraction ; text classification ; linguistic corpus ; deception ; linguistic cues ; statistical analysis ; discriminant function analysis ; fake news detection ; stance detection ; social media ; abstractive summarization ; monolingual models ; multilingual models ; transformer models ; transfer learning ; discourse analysis ; problem–solution pattern ; automatic classification ; machine learning classifiers ; deep neural networks ; question answering ; machine reading comprehension ; query expansion ; information retrieval ; multinomial naive bayes ; relevance feedback ; cause-effect relation ; transitive closure ; word co-occurrence ; automatic hate speech detection ; multisource feature extraction ; Latin American Spanish language models ; fine-grained named entity recognition ; k-stacked feature fusion ; dual-stacked output ; unbalanced data problem ; document representation ; semantic analysis ; conceptual modeling ; universal representation ; trend analysis ; topic modeling ; Bert ; geospatial data technology and application ; attention model ; dual multi-head attention ; inter-information relationship ; question difficult estimation ; named-entity recognition ; BERT model ; conditional random field ; pre-trained model ; fine-tuning ; feature fusion ; attention mechanism ; task-oriented dialogue systems ; Arabic ; multi-lingual transformer model ; mT5 ; language marker ; mental disorder ; deep learning ; LIWC ; spaCy ; RobBERT ; fastText ; LIME ; conversational AI ; intent detection ; slot filling ; retrieval-based question answering ; query generation ; entity linking ; knowledge graph ; entity embedding ; global model ; DISC model ; personality recognition ; predictive model ; text analysis ; data privacy ; federated learning ; transformer ; 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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  • 65
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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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  • 66
    Publication Date: 2024-03-29
    Description: A conversation between two people can only take place if the words intended by each speaker are successfully recognized. Spoken word recognition is at the heart of language comprehension. This automatic and smooth process remains a challenge for models of spoken word recognition. Both the process of mapping the speech signal onto stored representations for words, and the format of the representation themselves are subject to debate. So far, existing research on the nature of spoken word representations has focused mainly on native speakers. The picture becomes even more complex when looking at spoken word recognition in a second language. Given that most of the world’s speakers know and use more than one language, it is crucial to reach a more precise understanding of how bilingual and multilingual individuals encode spoken words in the mental lexicon, and why spoken word recognition is more difficult in a second language than in the native language. Current models of native spoken word recognition operate under two assumptions: (i) that listeners’ perception of the incoming speech signal is optimal; and (ii) that listeners’ lexical representations are accurate. As a result, lexical representations are easily activated, and intended words are successfully recognized. However, these assumptions are compromised when applied to a later-learned second language. For a variety of reasons (e.g., phonetic/phonological, orthographic), second language users may not perceive the speech signal optimally, and they may still be refining the motor routines needed for articulation. Accordingly, their lexical representations may differ from those of native speakers, which may in turn inhibit their selection of the intended word forms. Second language users also have to solve a larger selection challenge—having words in more than one language to choose from. Thus, for second language users, the links between perception, lexical representations, orthography, and production are all but clear. Even for simultaneous bilinguals, important questions remain about the specificity and interdependence of their lexical representations and the factors influencing cross-language word activation. This Frontiers Research Topic seeks to further our understanding of the factors that determine how multilinguals recognize and encode spoken words in the mental lexicon, with a focus on the mapping between the input and lexical representations, and on the quality of lexical representations.
    Keywords: BF1-990 ; Q1-390 ; Phonological knowledge ; Second-language speech ; bilingual and bidialectal lexicon ; spoken word recognition ; lexical access ; orthographic knowledge ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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  • 67
    Publication Date: 2024-03-31
    Description: This forum of comprehensive reviews and research studies on distinct aspects of the pathophysiology of BAV aortopathy provides both the state of the art in the knowledge on this complex disease and novel insights into its causes and consequences. The present collection of focused papers also envisions and proposes new therapeutic strategies, novel biomarkers and original risk stratification criteria, for the improvement of patient management.
    Keywords: QP1-981 ; Q1-390 ; smooth muscle cells ; microRNAs ; aortic root ; endothelial cells ; aortic surgery ; bicuspid aortic valve ; 4DFlow analysis ; aortopathy ; thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology
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  • 68
    Publication Date: 2024-03-29
    Description: This research topic stems from the "Interdisciplinary Approaches to Multilingualism" conference, which was hosted by the Language Research Centre at the University of Calgary. It was the first conference of its kind, which brought together the work of researchers, educators, and policy makers in the areas of first and second language acquisition from psycholinguistic and pedagogical perspectives. The goal was to provide an opportunity for participants to engage with the implications of multilingualism from a range of perspectives, including the effects of being bilingual from infancy to adulthood, the process and benefits of learning multiple languages, and the impact of multilingualism on society.
    Keywords: BF1-990 ; Q1-390 ; Developmental psycholinguistics ; second language literacy development ; Multilingualism ; psycholinguistic research methods ; Second language pedagogy ; bilingualism ; Second Language Acquisition ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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  • 69
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Energy is an important material basis that can promote the development of human society. Despite the increasing use of renewable energy, the overall energy supply is dominated by fossil fuels. For a long period of time, the main consumption proportion of fossil energy will not change. With the perspective of fossil fuels such as coal, oil, natural gas, shale oil, shale gas, and combustible ice, energy exploration, reservoir reconstruction, and intelligent applications in energy exploitation and energy occurrence geology are currently explored from the perspectives of exploration and exploitation technology. This reprint summarizes the intelligent unmanned mining and its development trends and conducts various research studies, including the stratigraphic correlation of sandy conglomerate in the Yellow River Delta Sag of the Bohai Bay basin, the growth and distribution of coal-measured hydrocarbon source rocks in a mixed platform, the physical and mechanical properties of sandstone, mudstone and granite in the geological environment of deep energy reservoirs, the formation mechanism of energy reservoirs and gas reservoirs, the two-phase flow experiment and numerical simulation in energy mining, the evolution law of cracks in the surrounding rock and the reinforcement principle of gradient support, and the comparison of particle pickup by axial flow and swirling flow in horizontal pneumatic conveying.
    Keywords: intelligent mine ; smart mining ; intelligent working face ; intelligent control ; adaptive ; robotic technology ; seismic rock physics ; sandstone and mudstone ; P-wave and S-wave velocity ; pressure ; temperature ; sandy conglomerate ; Huanghekou Sag ; stratigraphic correlation ; calcite U-Pb dating ; detrital zircon ; pressure-controlled pyrolysis ; oil–water separation ; centrifugal force ; two-phase vapor separation ; cyclone separation ; Tarim Basin ; mixed platform ; delta ; coal-measure distribution ; coal-measure logging response ; axial flow ; swirling flow ; pickup behavior ; coefficient of variation ; tight sandstone gas reservoir ; nuclear magnetic resonance ; fracture ; water blocking ; n/a ; rock mechanical properties ; MMTS ; geothermal development ; geothermal reservoir ; different depth of occurrence ; gas storage ; injection production simulation ; effective permeability ; seepage law ; two-dimensional simulation experiment ; fracture evolution law ; fractured seepage zone ; gradient failure support ; hierarchical control mechanism ; 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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  • 70
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices, and is concerned with knowledge acquisition and understanding through thought, experience, and the senses. Cognitive robotics and control refer to knowledge processing as much as knowledge generation from problem understanding, leading to special forms of architectures that enable systems to behave in an autonomous way. The main aim of this book is to highlight emerging applications and address recent breakthroughs in the domain of cognitive robotics and control and related areas. Procedures, algorithms, architectures, and implementations for reasoning, problem solving, or decision making are considered in the domain of robotics and control.
    Keywords: initial trajectory ; trajectory optimization ; Bézier surface ; robotics ; open FPGAs ; robot control ; surgical robotics ; human–machine interaction ; autonomous guidance ; low-cost platform ; FPGA ; S-curve ; motion control ; SoC ; telemanipulation ; haptics ; machine learning ; gesture recognition ; upper limb rehabilitation robot ; particle swam optimization (PSO) ; artificial bee colony (ABC) ; Ziegler Nichols ; Maximum sensitivity ; ontology ; robot task planning ; knowledge base ; knowledge representation ; industrial collaborative robots ; shared robotic tasks ; physical human–robot interaction ; human intention recognition ; time series classification ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 71
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: “Personalised Nutrition” represents any initiative that attempts to provide tailor-made healthy eating advice based on the nutritional needs of each individual, as these are dictated by the individual’s behaviour, phenotype and/or genotype, and their interactions. This Special Issue of Nutrients is dedicated to the development, implementation and assessment of the effectiveness of evidence-based “Personalised Nutrition” strategies. In this regard, a selection of reviews and original research manuscripts will bring together the latest evidence on how lifestyle habits, physiology, nutraceuticals, gut microbiome and genetics can be integrated into nutritional solutions, specific to the needs of each individual, for maintaining health and preventing diseases.
    Keywords: QH301-705.5 ; Q1-390 ; TX341-641 ; n/a ; gene-based ; taste ; postprandial leptin ; children ; personalised ; obesity ; macronutrient composition ; gastrointestinal symptoms ; postprandial adiponectin ; formula diet ; avoidance diet ; weight loss ; weight ; omega-3 fatty acids ; microbiome ; genotype ; nutrition ; direct-to-consumer test ; intervention ; clinical nutrition ; postprandial total ghrelin ; dietary intervention ; microbiota ; low-carbohydrate diet ; insulin ; FADS polymorphism ; adults ; genetics ; diet ; healthcare professionals ; HbA1c ; PROX1 gene ; phenotype ; high-fat meal ; glucose ; personalised nutrition ; irritable bowel syndrome ; dietary recommendation ; postprandial metabolic fingerprinting ; type 2 diabetes mellitus risk ; high-carbohydrate meal ; health ; ultra-high performance liquid chromatography ; food allergy ; normo-carbohydrate meal ; nutrimetabolomics ; type 2 diabetes ; nutrigenetics ; gene–diet interaction ; personalized nutrition ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 72
    Publication Date: 2024-04-05
    Description: In the last decade, sleep spindles have attracted steadily increasing attention. This interest is motivated by the many intriguing relationships between spindles and various diseases (e.g., schizophrenia, Parkinson, Alzheimer, autism, mental retardation), recovery processes (e.g., post brain stroke), and cognitive faculties (e.g., memory consolidation, intelligence, dream recall, sleep preservation). Nonetheless, a methodological wall has impeded the study of sleep spindles. Their investigation rests heavily on our ability to reliably and consistently identify spindle patterns from background EEG activity, a task involving many obstacles, including: a fuzzy definition of spindles, low inter-expert agreement on their scoring, lack of consensus on standard techniques for their automated detection, low reproducibility of observed characteristics and correlates, unavailability of large, standardized, high-quality databases, and inconsistencies in the methods used to evaluate the performance of automated detectors. The primary aims of this research topic were to bring together world-class researchers on a project designed to facilitate exchanges on methodological difficulties encountered in assessing sleep spindles and to promote standardized spindle-related resources. In preparing their contributions, authors were encouraged to use existing – or to propose new – publicly available resources for assessing sleep spindles. To allow fair and accurate comparison of reported results, the authors were also encouraged to validate their tools on a common benchmark. A database containing expert spindle scoring (i.e., the Montreal Archive of Sleep Studies) was made publicly available for that purpose.
    Keywords: RC321-571 ; Q1-390 ; Neural oscillations ; Electroencephalography (EEG) ; Sleep ; Sleep Spindles ; Memory ; IQ ; sigma waves ; automatic detection ; biomarker ; Open access ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 73
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
    Keywords: carbon-ion radiotherapy ; head-and-neck tumors ; squamous cell carcinoma ; radiosensitivity ; relative biological effectiveness ; lung cancer ; radiotherapy ; radiotherapy monitoring ; radiation-induced lung injury ; RILI ; pneumonitis ; radiation-induced lung fibrosis ; RILF ; circulating biomarkers ; microRNA ; micronuclei ; uterine cervical cancer ; cGAS ; STING ; abscopal effect ; immunotherapy ; PBMCS ; micronucleus assay ; biological dosimetry ; human blood ; genotoxicity tests ; ionizing radiation ; biomarkers ; dicentric assay ; gamma H2AX foci assay ; health surveillance analyses ; clonogenic assays ; methods ; plating ; cancer ; radiation ; head and neck cancer ; exosomes ; serum ; metabolomics ; GC/MS ; biodosimetry ; chromosome aberrations ; normal tissue toxicity ; predictive tests ; normal tissue ; biomarker ; protein ; immune infiltrate ; stroma ; tumour microenvironment ; proteomics ; telomeres ; chromosomal instability ; inversions ; prostate cancer ; IMRT ; machine learning ; individual radiosensitivity ; late effects ; personalized medicine ; liquid biopsy ; circulating tumour cells ; extracellular vesicles ; microRNAs ; immune system ; inflammation ; n/a
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  • 74
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    Frontiers Media SA
    Publication Date: 2024-03-31
    Description: Energy metabolism is central to life and altered energy expenditure (EE) is often cited as a central mechanism responsible for development of the obese phenotype. Resting EE, EE of physical activity, cold induced thermogenesis and thermic effect of feeding add to produce total EE but can also affect each other. It is thus very important that each component be well measured. Measuring energy expenditure by indirect calorimetry is extremely simple in theory but the practice if far more difficult. Taking into account temperature in small sized animals, measuring accurately the effect of activity on EE, correcting EE for body size body composition, age sex etc… add difficulties in producing reliable data. The goal of this Research Topic was to call for the practical experience of main investigators trained to practice calorimetry in order to get their feedback and the way they deal with the various and specific problems of humans and animal calorimetry. The goal is to share the questions/solutions experienced by the contributors to inititate a “guide of the good practices” that can be periodically updated and used by all those who are and will be interested in measuring energy metabolism from the 20g mouse to the human and large farm animals.
    Keywords: QP1-981 ; Q1-390 ; Body Composition ; Thermogenesis ; brown adipose tissue ; Body Size ; Energy Expenditure ; indirect calorimetry ; physical activity ; metabolic Phenotyping ; thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology
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  • 75
    Publication Date: 2023-12-20
    Description: Landscapes have long been viewed as ‘multifunctional’, integrating ecological, economic, sociocultural, historical, and aesthetic dimensions. Landscape science and public awareness in Europe have been progressing in leaps and bounds. The challenges involved in landscape-related issues and fields, however, are multiple and refer to landscape stewardship and protection, as well as to the development of comprehensive theoretical and methodological approaches, in tandem with public sensitization and participatory governance and in coordination with appropriate top-down planning and policy instruments. Landscape-scale approaches are fundamental to the understanding of past and present cultural evolution, and are now considered to be an appropriate spatial framework for the analysis of sustainability. Methods and tools of landscape analysis and intervention have also gone a long way since their early development in Europe and the United States. Although significant progress has been made, there remain many issues which are understudied or not investigated at all—at least in a Mediterranean context. This Special Issue addresses the application of landscape theory and practice in the Eastern Mediterranean and mainly, but not exclusively, reports on the outcomes of an international conference held in Jordan, in December 2015, with the title “Landscapes of Eastern Mediterranean: Challenges, Opportunities, Prospects and Accomplishments”. The focus of this Special Issue, landscapes of the Eastern Mediterranean region, thus constitutes a timely area of research interest, not only because these landscapes have so far been understudied, but also as a rich site of strikingly variegated, long-standing multicultural human–environmental interactions. These interactions, resting on and taking shape through millennia of continuity in tradition, have been striving to adapt to technological advances, while currently juggling with manifold and multilayered socioeconomic and climate–environmental crises.
    Keywords: G1-922 ; Q1-390 ; n/a ; landscape archaeology ; Cyprus ; Landscape Character Assessment (LCA) ; Eastern Mediterranean ; Land Description Units ; stakeholders’ analysis ; UK ; local authority ; ancient sanctuaries ; East Med landscape ; Twain-born Border Lord ; Landscape Decision Support System ; mapping ; topography ; Byzantine landscape and garden art ; economy ; LCA ; classification ; churches ; Arabic-speaking ; participatory ; Landscape Risk Assessment Model ; landforms ; GIS ; planning ; typology ; Greek-speaking ; public realm ; landscape changes ; sacred space ; comparative study ; urban environment ; ideology ; political power ; Arabic landscape and garden art ; cultural sustainability ; historical maps ; religion ; rural land ; multi-functional landscapes ; Lebanon ; Mediterranean ; geographical information system ; spatial distributions ; Land Description Unit (LDU) ; political sustainability ; landscape ; landscape character assessment ; governance ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 76
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In recent years, the implementation of sustainable concrete systems has been a topic of great interest in the field of construction engineering worldwide, as a result of the large and rapid increase in carbon emissions and environmental problems resulting from traditional concrete production and industry. For example, the uses of supplementary cementitious materials, geopolymer binder, recycled aggregate and industrial/agricultural wastes in concrete are all approaches to building a sustainable concrete system. However, such materials have inherent flaws due to their variety of sources, and exhibit very different properties compared with traditional concrete. Therefore, they require specific modifications in preprocessing, design, and evaluation before use in concrete. This reprint, entitled “Advances in Sustainable Concrete System”, covers a broad range of advanced concrete research in environmentally friendly concretes, cost-effective admixtures, and waste recycling, specifically including the design methods, mechanical properties, durability, microstructure, various models, hydration mechanisms, and practical applications of solid wastes in concrete systems.
    Keywords: high-strength concrete ; energy evolution ; elastic strain energy ; brittleness evaluation index ; concrete ; humidity ; moisture absorption ; moisture desorption ; numerical simulation ; acoustic emission ; AE rate process theory ; corrosion rate ; damage evolution ; axial load ; precast concrete structure ; lattice girder semi-precast slabs ; bending resistance ; FE modelling ; concrete damage ; GSP ; high strength ; hydration ; strength ; penetrability ; rice husk ash ; sustainable concrete ; artificial neural networks ; multiple linear regression ; eco-friendly concrete ; green concrete ; sustainable development ; artificial intelligence ; data science ; machine learning ; bagasse ash ; mechanical properties ; natural coarse aggregate ; recycled coarse aggregate ; two-stage concrete ; materials design ; recycled concrete ; crumb rubber concrete ; crumb rubber ; NaOH treatment ; lime treatment ; water treatment ; detergent treatment ; compressive strength ; materials ; adhesively-bonded joint ; temperature aging ; residual strength ; mechanical behavior ; failure criterion ; steel slag powder ; compound activator ; mortar strength ; orthogonal experiment ; GM (0, N) model ; ultrafine metakaolin ; silica fume ; durability ; fiber-reinforced concrete ; damage mechanism ; uniaxial tension ; cracked concrete ; crack width ; crack depth ; tortuosity ; sustainability ; concrete composites ; sulfate and acid attacks ; WPFT fibers ; coal gangue ; gradation ; cement content ; unconfined compressive strength ; freeze–thaw cycle ; minimum energy dissipation principle ; three-shear energy yield criterion ; damage variable ; constitutive model ; phosphorus slag ; limestone ; sulphate-corrosion resistance ; volume deformation ; blast furnace ferronickel slag ; alkali-activated material ; dosage of activator ; reactive powder concrete ; beam-column joint ; FE modeling ; crack ; cementitious gravel ; fly ash ; age ; optimal dosage ; bamboo ; sawdust ; pretreatment ; bio-based material ; mechanical property ; self-compacting concrete ; supplementary cementitious materials ; hydration mechanisms ; microstructure ; fresh properties ; synthetic polymer ; high temperature ; bentonite-free drilling fluid ; rheology ; filtration ; FRP reinforced concrete slab ; punching shear strength ; SHAP ; 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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  • 77
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a collection of recent publications from researchers all over the globe in the broad area of high-voltage engineering. The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. Special attention was given in the Special Issue to partial discharge monitoring as one of the most important techniques in insulation condition assessment. Moreover, this Special Issue contains several articles which focus on different modeling techniques that help researchers to better evaluate the condition of insulation systems. Different power system assets are addressed in this book, including transformers, outdoor insulators, underground cables, and gas-insulated substations.
    Keywords: TA1-2040 ; T1-995 ; artificial neural network ; simulation ; high-frequency ; artificial flashover tests ; wide bandgap power modules ; tracking ; electrical field strength ; fast-rise square wave voltages ; FDTD simulation ; cable joint ; corona discharge ; feature selection ; post insulator ; earthing systems ; wind speed ; surface discharge ; oil/paper insulation ; oil-paper insulation ; high-magnitude currents and impulse polarity ; UFVM ; Tettex 9520 ; electrical tree ; flashover characteristics ; composite insulator ; partial discharge ; numerical modeling ; saline mechanism ; thermal parameters ; space charge density ; seasonal ; ion flow field ; denoising ; DDX 9121b ; temperature ; transformer asset management ; cavity discharge ; space/interface charge ; insulation health index ; heat transfer model ; leakage current ; machine learning ; partial discharges (PD) ; RF signal ; flashover ; high impulse conditions ; grounding electrodes ; generalized finite difference time domain ; curve fitting ; grounding ; plasma discharge ; outdoor insulators ; flashover dynamic model ; wavelet transform ; degradation ; thermal properties ; bipolar charge transport model ; UHF sensor ; cable ; random walk theory ; tracking test setup ; GIL ; pressure ; modelling ; non-uniform pollution between windward and leeward sides ; calibrator ; secondary arc ; polymeric insulation ; optical-UHF integrated detection ; shoreline ; dry band arcing ; photoelectric fusion pattern ; DDX 8003 ; XLPE ; silicone gel ; partial discharge modeling ; electric field analysis ; NSCT ; electrode’s geometry ; gas ; Comsol Multiphysics ; fast-impulses ; laying modes ; ageing ; cable ampacity ; residual resistance formulation ; finite element analysis ; thermal effect ; hydrophobicity ; soil resistivity ; charge simulation method ; short-circuit discharge ; dry band formation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 78
    Publication Date: 2023-12-21
    Description: Aflatoxins are a group of polyketide mycotoxins that are produced mainly by members of the genus Aspergillus. Production of these toxic secondary metabolites is closely related to fungal development (Keller et al., 2005; Jamali et al., 2012). Contamination of food, feed and agricultural commodities by aflatoxins poses enormous economic and serious health concerns because these chemicals are highly carcinogenic and can directly influence the structure of DNA. The resulting genetic defects can lead to fetal misdevelopment and miscarriages; aflatoxins are also known to suppress immune systems (Razzaghi-Abyaneh et al., 2013). In a global context, aflatoxin contamination is a constant concern between the 35N and 35S latitude where developing countries are mainly situated. With expanding boundaries of developing countries, aflatoxin contamination has become a persistent problem to those emerging areas (Shams-Ghahfarokhi et al., 2013). The continuing threat by aflatoxin contamination of food, feed and agricultural commodities to the world population has made aflatoxin research one of the most exciting and rapidly developing study areas of microbial toxins. The present research topic includes six review articles, three mini reviews and four original research articles. Contributors highlight current global health issues arising from aflatoxins and aflatoxigenic fungi and cover important aspects of aflatoxin research including contamination of crops, epidemiology, molecular biology and management strategies. Special attention is given to fungus-plant host interactions, biodiversity and biocontrol, sexual recombination in aflatoxigenic aspergilli, potential biomarkers for aflatoxin exposure in humans and safe storage programs.
    Keywords: R5-920 ; QR1-502 ; Q1-390 ; TX341-641 ; genetic diversity ; Public Health ; Aspergillus flavus ; Genomics ; MicroRNAs ; Fungus host interactions ; biological control ; aflatoxin ; agricultural crops ; bic Book Industry Communication::M Medicine
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  • 79
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.
    Keywords: subject-dependent emotion recognition ; subject-independent emotion recognition ; electrodermal activity (EDA) ; deep learning ; convolutional neural networks ; automatic facial emotion recognition ; intensity of emotion recognition ; behavioral biometrical systems ; machine learning ; artificial intelligence ; driving stress ; electrodermal activity ; road traffic ; road types ; Viola-Jones ; facial emotion recognition ; facial expression recognition ; facial detection ; facial landmarks ; infrared thermal imaging ; homography matrix ; socially assistive robot ; EEG ; arousal detection ; valence detection ; data transformation ; normalization ; mental stress detection ; electrocardiogram ; respiration ; in-ear EEG ; emotion classification ; emotion monitoring ; elderly caring ; outpatient caring ; stress detection ; deep neural network ; convolutional neural network ; wearable sensors ; psychophysiology ; sensor data analysis ; time series analysis ; signal analysis ; similarity measures ; correlation statistics ; quantitative analysis ; benchmarking ; boredom ; emotion ; GSR ; classification ; sensor ; face landmark detection ; fully convolutional DenseNets ; skip-connections ; dilated convolutions ; emotion recognition ; physiological sensing ; multimodal sensing ; flight simulation ; activity recognition ; physiological signals ; thoracic electrical bioimpedance ; smart band ; stress recognition ; physiological signal processing ; long short-term memory recurrent neural networks ; information fusion ; pain recognition ; long-term stress ; electroencephalography ; perceived stress scale ; expert evaluation ; affective corpus ; multimodal sensors ; overload ; underload ; interest ; frustration ; cognitive load ; stress research ; affective computing ; human-computer interaction ; deep convolutional neural network ; transfer learning ; auxiliary loss ; weighted loss ; class center ; stress sensing ; smart insoles ; smart shoes ; unobtrusive sensing ; stress ; center of pressure ; regression ; signal processing ; arousal ; aging adults ; musical genres ; emotion elicitation ; dataset ; emotion representation ; feature selection ; feature extraction ; computer science ; virtual reality ; head-mounted display ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 80
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Herein we describe some molecular aspects of the recent anti-COVID-19 research, including some approaches making use of natural remedies, especially from medicinal plants, in silico methods, and different experimental procedures that led to the discovery of novel targets of SARS-CoV-2 and consequently novel potential COVID-19 therapeutics. COVID-19 vaccines also find mention in this book with also a description of some adverse effects reported in some cases. Considering that the different beta coronaviruses present certain conserved biomolecular mechanisms and, thus, some common therapeutic targets, finding effective therapies for a specific member of their family (such as SARS-CoV, SARS-CoV-2, and MERS-CoV) even in a scenario of a reduced impact at the time of the related disease on humankind is still relevant as it could offer or inspire efficacious therapeutic strategies not only in the context of novel pathogenic mutations of the already known beta coronaviruses, but also when future zoonoses caused by other beta coronaviruses will emergence, which is not unlikely to occur in the current world where the interactions between humans and wildlife are made more and more frequent due to the growing loss of intact ecosystems worldwide.
    Keywords: coronavirus infections ; pandemics ; natural compounds ; clove ; Syzygium aromaticum ; eugenol ; eugeniin ; SARS-CoV-2 ; COVID-19 ; phytochemicals ; herbal medicine ; catechin ; polyphenol ; tea leaf extract ; theaflavin ; virucidal activity ; MERS-CoV ; S1-NTD ; pharmacophore modeling ; ADME ; quantum mechanical calculation ; DFT ; FMO ; MM/GBSA ; molecular docking ; Molecular Dynamics Simulation ; HOMO ; LUMO ; COVID-19 vaccine ; disseminated intravascular coagulation ; heparin induced thrombocytopenia ; platelet factor 4 ; thrombosis ; thrombotic thrombo-cytopenic purpura ; vaccine induced thrombocytopenia and thrombosis ; disinfectants ; ethanol ; hand hygiene ; ozonated water ; slightly acidic electrolyzed water ; virucidal mechanism ; coronavirus ; renal disease ; nephrotoxicity ; reno-protective effect ; green tea ; epigallocatechin-3-gallate (EGCG) ; flavonoids ; natural products ; medicinal plant ; SARS-Cov-2 nsp10 ; structural similarity ; fingerprint ; ADMET ; toxicity ; main protease ; triazole ; docking ; MD simulation ; drug ; proteomic ; vaccine ; immunology ; biomarker ; cheminformatics ; phytocompounds ; systems pharmacology ; anti-COVID-19 ; drug repositioning ; molecular dynamic simulations ; binding free energy ; signal peptide ; RBD protein ; secretion ; mutant ; nucleocapsid or nucleoprotein ; structure-based drug discovery ; alphafold model and molecular dynamics ; neuroinflammation ; brain fog ; neuropeptides ; neurotransmission ; metabolism ; NSAIDs ; inflammation ; ketoprofen ; n/a ; 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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  • 81
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    Unknown
    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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  • 82
    Publication Date: 2024-04-05
    Description: Helicases are the proteins that bind to double- or single-stranded DNA and/or RNA chains to unwind higher order structures, usually consuming energy from the hydrolysis of ATP molecules. The biological roles of helicases are associated with a variety of DNA and/or RNA metabolisms, including DNA-replication, -repair, -recombination, RNA processing, and transcription. Dysfunctions of helicases cause various diseases, such as xeroderma pigmentosum (XP), premature aging syndrome, cancer and immunodeficiency, in humans. Moreover, recent genetic analyses revealed that mutations in helicase-encoding genes are frequently found in patients of specific diseases. Some helicases regulate cellular senescence by controlling integrity of genomes, and others play a role in neuromuscular functions presumably by modulating processing of mRNAs. However, the molecular mechanisms of how helicases are regulated in order to maintain our health are not yet fully understood. In this research topic, we will focus on the expression and functions of helicases and their encoding genes, reviewing recent research progresses that provide new insights into development of clinical and pharmaceutical treatments targeting helicases.
    Keywords: QH426-470 ; Q1-390 ; DNA Repair ; Aging ; helicases ; Telomere ; Cancer ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
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  • 83
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: The practical importance of economic valuation information can hardly be overstated. Coastal and marine resource policy planning and management benefit from complete information on the impact of policy decisions.
    Keywords: Q1-390 ; internet survey ; open access ; contingent valuation method ; coastal management ; tourism ; Thailand ; marine ; wetlands ; harmful algae blooms ; environmental valuation ; quota ; cyanobacteria ; estuarine and coastal ecosystems ; wealth accounting ; seawater quality ; economic analysis ; remote sensing ; ecosystem restoration ; coastal ecosystems ; random utility model ; contingent behavior ; public policy ; habitat–fishery linkages ; Barbados ; coastal ecosystem services valuation ; fishery ; mangroves ; ecosystem services valuation ; coral reefs valuation ; recreational boating ; regulated open access ; non-market value ; economic valuation ; ecosystem services ; coastal ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 84
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: The Hippo pathway is a highly dynamic cellular signaling nexus that plays central roles in multiple cell types and regulates regeneration, metabolism, and development. The Hippo pathway integrates mechanotransduction, cell polarity, inflammation, and numerous types of paracrine signaling. If not tightly regulated, dysregulated Hippo pathway signaling drives the onset and progression of a range of diseases, including fibrosis and cancer. The molecular understanding of the Hippo pathway is rapidly evolving. This Special Issue contains ten articles contributed by established and up-and-coming Hippo pathway experts that, as a whole, provides an up-to-date overview of how dysregulated Hippo pathway activity is a common driver of specific diseases. The articles have a particular focus on the underlying molecular and cellular mechanisms that cause the Hippo pathway to go awry, and especially how this drives disease. The articles analyze disease-specific as well as common themes, which provides valuable insights into the fundamental molecular mechanisms in the dysfunctioning Hippo pathway, and thereby offer practical insights into potential future therapeutic intervention strategies.
    Keywords: QH301-705.5 ; Q1-390 ; STRIPAK ; skin cancer ; n/a ; Lats2 ; transcription ; myofibroblast ; epigenetic ; Hippo ; cancer immunity ; TAZ ; Taz ; TAZ (transcriptional co-activator with PDZ-binding motif) ; adaptive immunity ; fibroblasts ; innate immunity ; LATS ; MST (mammalian STE20-like protein kinase) ; phosphorylation ; stem cells ; wound healing ; signal transduction ; angiogenesis ; LATS1/2 ; EMT ; protein-protein interactions ; structure biology ; Hippo pathway ; hippo pathway ; autoimmunity ; Mps one binder ; YAP/TAZ ; GPCR ; fibrosis ; MST1/2 ; YAP (yes-associated protein) ; YAP ; Yap ; protein kinase ; LATS (large tumor suppressor kinase) ; peripheral nerve sheath tumor ; signal cross-talk ; stem cell ; skin development ; STK38 ; tumorigenesis ; NDR ; schwannoma ; G protein-coupled receptor ; anti-cancer therapy ; feedback loops ; vascular mimicry ; castration resistance ; chromatin ; Hippo signalling ; ECM ; MST ; prostate cancer ; TEAD ; cancer ; zebrafish ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 85
    Publication Date: 2024-03-29
    Description: The visual system consists of hierarchically organized distinct anatomical areas functionally specialized for processing different aspects of a visual object (Felleman & Van Essen, 1991). These visual areas are interconnected through ascending feedforward projections, descending feedback projections, and projections from neural structures at the same hierarchical level (Lamme et al., 1998). Accumulating evidence from anatomical, functional and theoretical studies suggests that these three projections play fundamentally different roles in perception. However, their distinct functional roles in visual processing are still subject to debate (Lamme & Roelfsema, 2000). The focus of this Research Topic is the roles of feedforward and feedback projections in vision. Even though the notions of feedforward, feedback, and reentrant processing are widely accepted, it has been found difficult to distinguish their individual roles on the basis of a single criterion. We welcome empirical contributions, theoretical contributions and reviews that fit into any one (or a combination) of the following domains: 1) their functional roles for perception of specific features of a visual object 2) their contributions to the distinct modes of visual processing (e.g., pre-attentive vs. attentive, conscious vs. unconscious) 3) recent techniques/methodologies to identify distinct functional roles of feedforward and feedback projections and corresponding neural signatures. We believe that the current Research Topic will not only provide recent information about feedforward/feedback processes in vision but also contribute to the understanding fundamental principles of cortical processing in general.
    Keywords: BF1-990 ; Q1-390 ; projections ; processes ; Feedback ; Vision ; feedforward ; Visual System ; mechanisms ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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  • 86
    Publication Date: 2024-04-05
    Description: The eBook "Building Strategies for Porcine Cancer Models" presents a series of articles demonstrating the state-of-the-art developments in pig models for cancer research. Renowned researchers dedicated to the reproduction, genomic and biological engineering of the pig model for biomedicine contribute to this special research area. Although advances in these areas are occurring at surprising speeds, they are still far from realizing all the potential benefits that this biological model could provide to science. The current biomedical models may limit the frontier of knowledge in the cancer research.
    Keywords: QH426-470 ; Q1-390 ; Pigs ; Cloning ; Genetic engineering ; Comparative Genomics ; Gene Editing ; Animal Models ; Cancer ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
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  • 87
    Publication Date: 2024-04-05
    Description: This e-book summarizes recent advances in the young and rapidly developing field of microbial volatiles. Articles included here reveal novel information about the chemical diversity of bacterial and fungal volatiles, their functions, their roles in inter-specific and inter-kingdom interactions and the metabolic and physiological changes their exposure causes in the target organisms. The e-book is divided in three chapters: (1) Natural Functions of Microbial Volatiles; (2) Volatile Production and Ecosystem Functioning and (3) Volatile Detection and Identification.
    Keywords: QR1-502 ; Q1-390 ; microorganisms ; infochemicals ; natural functions ; induced systemic resistance ; Plants ; antimicrobials ; plant growth promotion ; volatiles ; interactions ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSG Microbiology (non-medical)
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  • 88
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The articles featured in this Special Issue cover different aspects of the design, testing, and application of various types of supplementary cementitious materials in concrete. The results of the research, conducted by over 50 international universities and scientific centers, prove the great interest in the SCM topic.
    Keywords: crystalline admixture ; chemical exposure ; sulphuric acid attack ; durability ; Xypex ; fly ash ; substitution strategy ; structural concrete ; steel reinforcement ; limit states ; RC beams in bending ; carbon footprint ; concrete ; carbonation modeling ; calcareous fly ash ; biomass ; wood ash ; fibrocement ; strength ; mortar ; clean coal combustion ; fluidized bed fly ash ; microstructure ; phase composition ; portlandite ; unburned carbon ; slag ; soil stabilization ; embankment ; cement ; lime ; high temperature ; damage ; permeability ; CEMI and CEMIII ; mechanical properties ; alkali-activated concrete ; geopolymer concrete ; flexure ; beams ; fiber-reinforced concrete ; crack spacing ; tension stiffening ; bamboo ash ; supplementary materials ; elevated temperature ; high volume fly ash (HVFA) ; steel reinforcing fiber ; jacketing ; environmental impact ; fibre reinforced ; alkali-activated ; strain hardening ; recycled cementitious supplementary material ; comprehensive concrete recycling ; recycled fine fraction ; rehydration reactivity ; compressive strength ; ground granulated blast furnace slag ; apparent activation energy ; equivalent age ; construction debris ; recycling ; circular economy ; eco-friendly concretes ; fly ash (FA) ; silica fume (SF) ; palm oil fuel ash (POFA) ; rice husk ash (RHA) ; sewage sludge ash (SSA) and sugarcane bagasse ash (SBA) ; mine tailings ; marble dust ; construction and demolition debris (CDD) ; porous feldspar ; activation ; substitute material ; energy saving concrete ; calcined clay ; binder ; supplementary cementitious materials ; cement-based materials ; steatite ; wood particles ; Portland cement ; fire performance ; tensile strength ; micro-silica/silica fume ; steel fiber ; high performance concrete (HPC) ; self-consolidating concrete (SCC) ; flowability ; freeze-thaw cycle ; fire resistance ; bentonite ; clays ; cryogenic condition ; GGBS ; thermal conductivity ; semi-adiabatic test ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 89
    Publication Date: 2024-04-05
    Description: Planting trees in the agricultural landscape, in the form of establishing agroforestry systems, has a significant role to play in potentially improving ecosystem services, such as increased biodiversity, reduced soil erosion, increased soil carbon storage, improved food security and nutrition, and reduced greenhouse gas emissions. While the role of trees in agroforestry systems in improving ecosystem services has been researched, studies in new systems/regions and new agroforestry system designs are still emerging. This Special Issue includes selected papers presented at the 4th World Congress on Agroforestry, Montpellier, France 20–22 May 2019, and other volunteer papers. The scope of articles includes all aspects of agroforestry systems.
    Keywords: QH301-705.5 ; Q1-390 ; S1-972 ; farmers’ knowledge ; ahannon-wiener index ; economic benefits ; alley cropping ; lignin ; shelterbelts ; agroforestry ; natural capital ; forest farming ; nutrient content ; agroforestry system ; review ; Amazonia ; cropland ; riparian buffers ; climate change ; subtropical acidic forest soil ; bees ; phosphorus ; pollination ; 15N tracing experiment ; stable isotope ; West Java ; interspecific competition ; growth form ; cropping system ; climate change mitigation ; gross N transformation rates ; East Africa ; improved-fallow ; N-fixing trees ; carbon sequestration ; home garden ; margalef index ; windbreaks ; leaf nutrient diagnosis ; agroforestry systems ; pollinators ; sorption ; forestland ; China ; temperature change ; fractionation ; hedgerows ; native trees ; slash-and-mulch ; soil N ; shade tree species ; soil C ; Alpinia oxyphylla ; sustainable management ; plant water use ; rubber-based agroforestry system ; ecosystem services ; Indonesia ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 90
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Physical processes are keys for the status of a lake. In this Special Issue, the emphasis is on dissolved oxygen and on exchange of gases, energy and momentum between atmosphere and further mixing and consumption within the water. The studies presented relate to ice-free as well as ice-covered lakes. Field measurements are combined with theoretical approaches.
    Keywords: hydrodynamic model ; bubble plume ; artificial mixing ; GLM ; Si3D ; dissolved gas ; Henry law ; total gas pressure ; ebullition ; greenhouse gases ; lacustrine waters ; diurnal variation ; hourly model ; water temperature ; dissolved oxygen ; shallow lakes ; and sediment heat flux ; water quality ; chlorophyll-a ; phosphorus ; phosphorus release ; full set of turbulent stresses ; Acoustic Doppler current profilers ; interbeam velocity correlations ; ice-covered lakes ; convectively-mixed layer ; anisotropic turbulence ; shallow lake ; ice-covered period ; ice phenology ; snow-ice cover thickness ; under-ice irradiance ; radiatively driven convection ; climate change ; 3D modelling ; stratification ; bubble plumes ; fractal ; lakes ; mixing ; multi-scale ; turbulence ; energy fluxes ; energy content ; reservoirs ; internal waves ; surface waves ; biogenic turbulence ; 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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  • 91
    Publication Date: 2023-12-20
    Description: In this eBook, Conceptual Categories and the Structure of Reality, the title very well describes the book's content. Within the book's pages a selection of academics from a variety of human behaviour, human/social science and humanities disciplines write about their research all of which can be typified by their consideration of how categories are used to structure understanding of phenomena. These authors have considered how reality may be understood through notions such as categorial and structural ontologies, part-whole relatoinships (mereology), the qualitative, quantitative and philosophical use of the facet theory approach to research, mapping sentences and declarative mapping sentence, hermeneutics, concepts and constructs, similarities and differences. The resulting collection presents the foregoing conceptual and empirical approaches to knowledge development in general (chapter 1&3 Hackett); Phillips and Wislons' review of compositional syntax in bird calls (chapter 2); neurobehavioral decision systems (chapter 4 Foxall); representations of human psychological processes (chapter 5 Juan-Miguel López-Gil; Rosa Gil; Roberto García); free associations mirroring and its relation to self- and world-related concepts (chapter 6 Martin Kuška; Radek Trnka; Aleš Antonín Kuběna; Jiří Růžička); local knowledge and going beyond the data (chapter 7 Steven Phillips); categorical etiologies of speech sound disorders (chapter 8 Kelly Farquharson); similarity of visual appearance (chapter 9 Nao Nakatsuji; Hisayasu Ihara; Takeharu Seno; Hiroshi Ito); and a consideration of the seminal writing of David Oderberg's on the categorial classification of reality (chapter 10 Hackett).
    Keywords: BF1-990 ; Q1-390 ; mereology ; similarities ; hermeneutics ; concepts ; category ; ontology ; facet theory ; declarative mapping sentence ; bic Book Industry Communication::J Society & social sciences::JM Psychology
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  • 92
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    Springer Nature
    Publication Date: 2024-04-09
    Description: robotics; autonomous mobile robots; algorithms; Braitenberg creatures; decision making
    Keywords: robotics ; autonomous mobile robots ; algorithms ; Braitenberg creatures ; decision making ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: The book provides a comprehensive overview of nanostructures and methods used to design biosensors, as well as applications for these biosensor nanotechnologies in the biological, chemical, and environmental monitoring fields. Biological sensing has proven to be an essential tool for understanding living systems, but it also has practical applications in medicine, drug discovery, food safety, environmental monitoring, defense, personal security, etc. In healthcare, advancements in telecommunications, expert systems, and distributed diagnostics are challenging current delivery models, while robust industrial sensors enable new approaches to research and development. Experts from around the world have written five articles on topics including:Diagnosing and treating intraocular cancers such as retinoblastoma; Nanomedicine in cancer management; Engineered nanomaterials in osteosarcoma diagnosis and treatment; Practical design of nanoscale devices; Detect alkaline phosphatase quantitatively in clinical diagnosis; Progress in the area of non-enzymatic sensing of dual/multi biomolecules; Developments in non-enzymatic glucose and H2O2 (NEGH) sensing; Multi-functionalized nanocarrier therapies for targeting retinoblastoma; Galactose functionalized nanocarriers; Sensing performance, electro-catalytic mechanism, and morphology and design of electrode materials; Biosensors along with their applications and the benefits of machine learning; Innovative approaches to improve the NEGH sensitivity, selectivity, and stability in real-time applications; Challenges and solutions in the field of biosensors.
    Keywords: advanced nanomaterials ; dual in-line sensing ; bi-functional properties ; non-enzymatic ; electrochemical sensing ; glucose and H2O2 ; nanotechnology ; bone diseases ; drug delivery ; nanocarriers ; osteosarcoma ; tumor-targeted ; retinoblastoma ; rare cancer ; surface-tailored multi-functionalized nanoparticles ; metallic nanoparticle ; tumor-suppressor gene mutation ; alkaline phosphatase ; terminal protection ; copper nanoparticle ; fluorescence ; biosensor ; electrochemical ; sensitivity ; amperometric ; voltammetric ; food quality monitoring ; machine learning ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 94
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint focuses on basic and applied research on fatigue and fracture processes in engineering of materials and composites. Special attention is given to understanding fracture processes from the point of view of micro and nano damage mechanisms related to material microstructure. Advanced experimental methods such as tomography, digital image correlation, high resolution electron microscopy and fractography are applied in combination with theoretical multiscale models based on finite element methods and fracture mechanics to reveal the fundamental causes of material failure.
    Keywords: cyclic indentation ; Vickers hardness ; inverse analysis ; numerical simulations ; cyclic material properties ; fatigue life ; advanced high-strength steels ; hydrogen embrittlement ; in-situ testing ; scanning electron microscopy ; plasma charging ; coarse-grained Ni-based superalloys ; crystal plasticity ; notch effect ; strain concentration factor ; hull fracture ; inspection manholes ; bulk carrier ; cracks ; corrosion fatigue ; steel quality ; cleavage fracture ; finite element analysis ; local approach ; Weibull stress ; synchrotron tomography ; short fatigue crack growth ; residual stress ; very high cycle fatigue ; silicon carbide ; ceramic matrix composites ; creep properties ; high-temperature strength ; molecular dynamics ; artificial neural network ; forged titanium alloy ; low-cycle fatigue ; cycle wave form ; durability ; crack meso-tunneling ; fractography ; crack growth duration ; ultrasonic fatigue ; frequency effect ; strain rate effect ; environmental effect ; size effect ; high cycle fatigue ; underload cycles ; crack closure ; threshold ; fatigue crack growth ; oxidation ; EA4T steel ; fracture ; gigacycle fatigue ; surface morphology ; kinetic equation ; laminated metallic composites ; toughening mechanisms ; interfaces ; fatigue crack propagation ; large chamber SEM ; ultra-high steel grades ; tensile characteristics ; fracture toughness ; temperature dependence ; modelling fracture ; ductile-to-brittle transition ; local approach to fracture ; ferritic steel ; synchrotron radiation X-ray imaging ; fatigue performance ; fatigue crack ; FGH96 alloy ; microstructure ; micro-indentation ; mechanical and fracture properties identification ; optimisation analysis ; 316L stainless steel ; selective laser melting ; fatigue damage ; 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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  • 95
    Publication Date: 2024-03-29
    Description: Foreword by Richard J. Stevenson, Macquarie University (Australia): It was long thought that the human nose might be able to discriminate somewhere in the order of 10,000 different odourants. The recent finding that the human nose can discriminate something like a trillion different smells serves as yet another reminder that we have again underestimated the capacity of our sense of smell (Bushdid, Magnasco, Vosshall & Keller, 2014). This volume serves as a further corrective for anyone who should hold the view that olfaction is unimportant in human affairs. The papers presented in this ebook, carefully collated and overseen by Aldo Zucco, Benoist Schaal, Mats Olsson and Ilona Croy, showcase a large number of quite different reasons for studying the applied side of olfaction, and indeed human olfaction in general. The 23 contributions presented here cover a broad range of topics, which illustrate contemporary interests in our field. Although with a strong applied focus, a noteworthy feature of this ebook is the richness of the theoretical perspectives that are developed. These range from considerations of olfactory perception, memory, expertise, and priming right the way through to receptor genetics. These contributions, from many leading experts in the field, will surely shape much of the applied work linking olfaction to disease, which is a further focus of this ebook. In respect to health and disease, the chapters on aging, pregnancy, depression, alcohol dependency and environmental odours, present overviews and rich new data on many contemporary problems, to which the study of olfaction is now contributing. A particularly notable aspect of olfactory experience is the affective impact that odours can have on people and their lives. The ebook covers some particularly intriguing aspects of work in this area, with empirical studies investigating dissociations between wanting and liking, stress reduction in the elderly, mother-infant bonding, and the emotions that different odourants can evoke. This affective line of work is nicely complemented by empirical studies on expertise, the effect of odours on visual attention, and the relationship between particular personality traits and interest in olfaction. The gradual appropriation of methods from cognitive neuroscience into olfaction is also nicely represented in this ebook, with at least three of the chapters reporting data using neuroimaging, including a particular intriguing study looking at recognition of odours in mixtures. Finally, the close links between olfactory perception and sensory evaluation are also reflected in a chapter on wine. I hope that readers of this e-book will be struck, as I have been in reading its various chapters, how much olfaction affects our lives, and how the study of this sense can enrich it.
    Keywords: BF1-990 ; Q1-390 ; Disease ; Health ; Everyday Life ; Cognition ; Applied olfaction ; Expertise ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.
    Keywords: pig weight ; body size ; estimation ; deep learning ; convolutional neural network ; pig identification ; mask scoring R-CNN ; soft-NMS ; group-housed pigs ; audio ; dairy cow ; mastication ; jaw movement ; forage management ; precision livestock management ; equine behavior ; wearable sensor ; intermodality interaction ; class-balanced focal loss ; absorbing Markov chain ; cow behavior analysis ; prediction of calving time ; cow identification ; EfficientDet ; YOLACT++ ; cascaded model ; instance segmentation ; generative adversarial network ; machine learning ; automated medical image processing ; deep neural network ; animal science ; CT scans ; computer vision ; cow ; extensive livestock ; sensorized wearable device ; monitoring ; parturition prediction ; radar sensors ; radar signal processing ; animal farming ; computational ethology ; signal classification ; wavelet analysis ; dairy welfare ; hierarchical clustering ; mutual information ; precision livestock farming ; time budgets ; unsupervised machine learning ; wearables design ; animal-centered design ; animal telemetry ; modularity ; smart collar ; design contributions ; additive manufacturing ; low-frequency tracking ; commercial aviary ; laying hens ; false registrations ; tree-based classifier ; animal behaviour ; 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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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-01-31
    Description: This edition is a reprint of the Special Issue published online in the open access journal Remote Sensing (ISSN 2072-4292) from 2016–2017 (available at: http://www.mdpi.com/journal/remotesensing/special issues/rsALS), complemented by selected articles published in Remote Sensing
    Keywords: G1-922 ; Q1-390 ; Airborne Lidar Systems ; Data Processing
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  • 98
    Publication Date: 2024-04-05
    Description: Women drinking during pregnancy can result in Fetal Alcohol Spectrum Disorder (FASD), which may feature variable neurodevelopmental deficits, facial dysmorphology, growth retardation, and learning disabilities. Research suggests the human brain is precisely formed through an intrinsic, genetic-cellular expression that is carefully orchestrated by an epigenetic program. This program can be influenced by environmental inputs such as alcohol. Current research suggests the genetic and epigenetic elements of FASD are heavily intertwined and highly dependent on one another. As such, now is the time for investigators to combine genetic, genomic and epigenetic components of alcohol research into a centralized, accessible platform for discussion. Genetic analyses inform gene sets which may be vulnerable to alcohol exposure during early neurulation. Prenatal alcohol exposure indeed alters expression of gene subsets, including genes involved in neural specification, hematopoiesis, methylation, chromatin remodeling, histone variants, eye and heart development. Recently, quantitative genomic mapping has revealed loci (QTLs) that mediate alcohol-induced phenotypes identified between two alcohol-drinking mouse strains. One question to consider is (besides the role of dose and stage of alcohol exposure) why only 5% of drinking women deliver newborns diagnosed with FAS (Fetal Alcohol Syndrome)? Studies are ongoing to answer this question by characterizing genome-wide expression, allele-specific expression (ASE), gene polymorphisms (SNPs) and maternal genetic factors that influence alcohol vulnerability. Alcohol exposure during pregnancy, which can lead to FASD, has been used as a model to resolve the epigenetic pathway between environment and phenotype. Epigenetic mechanisms modify genetic outputs through alteration of 3D chromatin structure and accessibility of transcriptional machinery. Several laboratories have reported altered epigenetics, including DNA methylation and histone modification, in multiple models of FASD. During development DNA methylation is dynamic yet orchestrated in a precise spatiotemporal manner during neurulation and coincidental with neural differentiation. Alcohol can directly influence epigenetics through alterations of the methionine pathway and subsequent DNA or histone methylation/acetylation. Alcohol also alters noncoding RNA including miRNA and transposable elements (TEs). Evidence suggests that miRNA expression may mediate ethanol teratology, and TEs may be affected by alcohol through the alteration of DNA methylation at its regulatory region. In this manner, the epigenetic and genetic components of FASD are revealing themselves to be mechanistically intertwined. Can alcohol-induced epigenomic alterations be passed across generations? Early epidemiological studies have revealed infants with FASD-like features in the absence of maternal alcohol, where the fathers were alcoholics. Novel mechanisms for alcohol-induced phenotypes include altered sperm DNA methylation, hypomethylated paternal allele and heritable epimutations. These studies predict the heritability of alcohol-induced epigenetic abnormalities and gene functionality across generations. We opened a forum to researchers and investigators the field of FASD to discuss their insights, hypotheses, fresh data, past research, and future research themes embedded in this rising field of the genetics and epigenetics of FASD. This eBook is a product of the collective sharing and debate among researchers who have contributed or reviewed each subject.
    Keywords: QH426-470 ; QH301-705.5 ; Q1-390 ; DNA Methylation ; Fetal Alcohol Syndrome ; histone modification ; Epigenetic medicine ; Genomics ; Alcoholism ; transgenerational ; Pregnancy drinking ; FASD ; Gene environmental interaction ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
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  • 99
    Publication Date: 2024-04-05
    Description: The brain of each animal shows specific traits that reflect its phylogenetic history and its particular lifestyle. Therefore, comparing brains is not just a mere intellectual exercise, but it helps understanding how the brain allows adaptive behavioural strategies to face an ever-changing world and how this complex organ has evolved during phylogeny, giving rise to complex mental processes in humans and other animals. These questions attracted scientists since the times of Santiago Ramon y Cajal one of the founders of comparative neurobiology. In the last decade, this discipline has undergone a true revolution due to the analysis of expression patterns of morphogenetic genes in embryos of different animals. The papers of this e-book are good examples of modern comparative neurobiology, which mainly focuses on the following four Grand Questions: a) How are different brains built during ontogeny? b) What is the anatomical organization of mature brains and how can they be compared? c) How do brains work to accomplish their function of ensuring survival and, ultimately, reproductive success? d) How have brains evolved during phylogeny? The title of this e-book, Adaptive Function and Brain Evolution, stresses the importance of comparative studies to understand brain function and, the reverse, of considering brain function to properly understand brain evolution. These issues should be taken into account when using animals in the research of mental function and dysfunction, and are fundamental to understand the origins of the human mind.
    Keywords: RC321-571 ; Q1-390 ; comparative neurobiology ; brain evolution ; phylogeny ; ontogeny ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 100
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: We invite you to read the Special Issue on innovation for sustainable business. It is a collection of 7 articles published in a Special Issue of Sustainability MDPI in 2021-2022. Many of the articles in this reprint are related to leadership. In the context of sustainable development, issues such as dynamic capabilities, CSR, succession management and innovative projects were addressed. Sustainable innovation is also considered from other perspectives. One of them is the topic of introducing sustainable innovations to new ventures. In addition, drivers and impacts of eco-innovation were also examined. There was also research in the area of ​​live commerce, which includes the perspective of consumer behavior.
    Keywords: dynamic capabilities ; eco-innovation ; leadership ; corporate social responsibility ; the attitude of future managers towards CSR ; ethical aspects of companies’ operations ; sustainability ; green technologies ; environmental innovation ; industry ; Brazil ; capability ; organization ; survival ; workforce ; live commerce ; hunger marketing ; perceived trust ; perceived value ; impulse buying behavior ; Sustainable Industry 4.0 ; innovative projects ; interdisciplinarity ; project team competencies ; sustainable innovation ; knowledge search ; organizational learning ; strategic flexibility ; new ventures ; QCA ; 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
    Language: English
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