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  • Q1-390  (396)
  • deep learning  (381)
  • 04.06. Seismology
  • 04.08. Volcanology
  • Creep observations and analysis
  • Triticum aestivum
  • MDPI - Multidisciplinary Digital Publishing Institute  (777)
  • Elsevier  (46)
  • Springer  (17)
  • Wiley-AGU  (14)
  • Springer-Nature  (12)
  • EGU - Copernicus
  • IEEE
  • Oxford University Press - The Royal Astronomical Society
  • Wiley
  • 2020-2024  (881)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-12-20
    Beschreibung: 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.
    Schlagwort(e): 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
    Sprache: Englisch
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-05
    Beschreibung: 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
    Schlagwort(e): 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
    Sprache: Englisch
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Schlagwort(e): composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Sprache: Englisch
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-03-23
    Beschreibung: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Schlagwort(e): sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    Sprache: Englisch
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-06-23
    Beschreibung: 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.
    Schlagwort(e): 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
    Sprache: Englisch
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-05
    Beschreibung: 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.
    Schlagwort(e): 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
    Sprache: Englisch
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2022-05-06
    Beschreibung: 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.
    Schlagwort(e): 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
    Sprache: Englisch
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-11
    Beschreibung: Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
    Schlagwort(e): photoacoustic imaging ; tomography ; thermoacoustic ; radio frequency ; image quality assessment ; image formation theory ; image reconstruction techniques ; sparsity ; signal processing ; deconvolution ; empirical mode decomposition ; signal deconvolution ; photoacoustics ; tissue characterization ; absorption ; Photoacoustic Computed Tomography (PACT) ; ring array ; fast imaging ; low cost ; photoacoustic tomography ; full-field detection ; wave equation ; final time inversion ; uniqueness ; stability ; iterative reconstruction ; 3D photoacoustic tomography ; full-view illumination and ultrasound detection ; photoacoustic coplanar ; quartz bowl ; correlation matrix filter ; time reversal operator ; photo-acoustic tomography ; reflection artifacts ; deep learning ; convolutional neural network ; time reversal ; Landweber algorithm ; U-net ; optoacoustic imaging ; respiratory gating ; motion artifacts ; full-ring illumination ; diffused-beam illumination ; point source illumination ; ultrasound tomography (UST) ; photoacoustic tomography (PAT) ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2023-12-20
    Beschreibung: 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.
    Schlagwort(e): 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
    Sprache: Englisch
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publikationsdatum: 2024-04-05
    Beschreibung: “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.
    Schlagwort(e): 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
    Sprache: Englisch
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