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  • thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general  (855)
  • English  (855)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Seismic exploration is a geophysical method with deeper exploration capabilities and higher resolution than potential geophysical methods. It has been widely used in the fields of oil and gas, mineral, and environmental exploration, as well as engineering. This Special Issue provides several advanced methods and technologies for seismic data processing and interpretation, including the following: noise elimination, migration and inversion, passive seismic exploration, a theory for seismic wave propagation, and also Artificial Intelligence technology used in seismic data processing.
    Keywords: Geophysics;Seismic;Processing;Interpretation;Imaging ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 2
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    UNICApress
    Publication Date: 2024-03-27
    Description: This volume reports, in brief, the experience of the students enrolled in the XXXV cycle of the PhD courses at the University of Cagliari. The contributions are grouped by course and are preceded by a presentation of the coordinators of each PhD program. In two pages each student gives the reader an idea of his/her personal experience and of the results of his/her research.
    Description: Published
    Keywords: PhD ; University of Cagliari ; Research ; Students ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Geohazards, such as landslides, rock avalanches, debris flow, ground fissures, and ground subsidence, pose a significant threat to people’s lives and property. Recently, machine learning (ML) has become the predominant approach in geohazard modeling, offering advantages such as an excellent generalization ability and accurately describing complex and nonlinear behaviors. However, the utilization of advanced algorithms in deep learning remains poorly understood in this field. Additionally, there are fundamental challenges associated with ML modeling, including input variable selection, uncertainty quantification, and hyperparameter tuning. This reprint presents original research exploring new advances and challenges in the application of ML in the spatial–temporal modeling of geohazards. The contributions cover the susceptibility analysis of glacier debris flow and landslides, the displacement prediction of reservoir landslides, slope stability prediction and classification, building resilience evaluation, and the prediction of rainfall-induced landslide warning signals.
    Keywords: Geohazard modeling ; Spatial&ndash ; temporal prediction ; Machine learning ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: The reprint "Comprehensive Research in Earthquake Forecasting and Seismic Hazard Assessment" is a collection of articles dealing with various aspects of the physics of seismic processes, earthquake forecasting, and the search for their precursors. All published articles can be roughly divided into three unequal groups according to the number of articles presented. The first group includes theoretical and methodological articles. The second group includes articles confirming one or another model of seismicity behaviour in anticipation of a strong earthquake. Finally, the third and most numerous group of articles consists of those analysing the results of long-term observations of the behaviour of various geophysical fields. We are confident that each of these articles will find an interested reader, and that the collection as a whole deserves the attention of representatives of the scientific community concerned with the problem of earthquake forecasting and the search for their precursors.
    Keywords: earthquake forecasting ; strain rates ; multiplicative hybrid models ; reverse testing ; spatial distribution ; atmospheric electric field ; earthquake precursors ; radon concentration ; earthquake interevent times ; Greek seismicity ; temporal correlations ; statistical distributions ; earthquake prediction ; infrared remote sensing ; multi-channel ; pre-seismic anomaly ; relative power spectrum ; connected region ; seismic noise ; time series ; singularity spectrum ; wavelet analysis ; spectral measure of coherence ; Kamchatka Peninsula ; earthquake ; source deactivation ; logistic equation ; nonlinear diffusion equation ; Omori epoch ; round-the-world echo ; mirror triad ; PGA ; PGV ; return period ; PSHA ; stochastic seismic hazard assessment ; earthquake preparation ; areas of increased shear deformations ; mathematical simulation ; rock deformation ; acoustic emission of near-surface rocks ; apparent resistivity ; correlation ; earthquakes ; magnetotellurics ; electromagnetic signals ; electromagnetic anomalies ; aftershocks sequences ; Tsallis entropy ; interevent times ; power-law scaling ; complexity ; Antarctic Peninsula ; Seymour–Marambio Island ; Orca submarine volcano ; numerical modelling ; earthquake simulator ; statistical methods ; earthquake clustering ; northern Adriatic sea ; statistical seismology ; numerical modeling ; probabilistic forecasting ; time-series analysis ; wavelet-based entropy ; wavelet-based Donoho–Johnston index ; correlations ; day length ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Introducing “A Feasible Approach for Natural Products to Treatment of Diseases”–an exploration of the therapeutic potential locked within nature’s abundant offerings. This comprehensive reprint delves into the fascinating realm of natural products, uncovering their inherent properties, mechanisms of action, and potential roles in effective disease management. Through extensive scientific research and reviews, the authors shed light on the immense potential of natural products as a viable approach to enhancing health and combating diseases. This reprint presents a diverse and multidimensional exploration, bridging the gap between traditional wisdom and contemporary scientific understanding and offering new avenues for healthcare professionals, researchers, and enthusiasts to harness the power of nature’s remarkable resources. As a catalyst for unlocking the healing potential of natural products, this reprint inspires further investigation and innovation, and drives us towards a future where their integration into mainstream healthcare becomes indispensable. Discover the possibilities and embark on a health and well-being journey with “A Feasible Approach for Natural Products to Treatment of Diseases”.
    Keywords: cancer immunotherapy ; fructan ; FT-IR ; mass spectrometry ; young green barley ; COVID-19 ; β-glucans ; immunomodulation ; anti-inflammation ; anti-oxidant ; ACE2 regulation ; impedance ; ECIS ; antitumor activity ; anticancer properties ; betulin ; betulinic acid ; Amadori rearrangement compounds ; barley ; anti-obesity ; arginyl-fructose ; adipogenic ; ergosta-5,7,22,24(28)-tetraenol (ERGT) ; cholesta-5,7,22,24-tetraenol (CHT) ; ergosterol biosynthesis ; antimetabolite ; suicide substrate ; Trypanosoma brucei ; coronavirus SARS-CoV-2 ; main protease ; Saussurea costus ; molecular docking ; GC-MS profiling ; Molineria recurvata ; diabetic nephropathy ; urinary biomarkers ; inflammation ; oxidative stress ; walnut ; Juglans regia ; high-fat diet ; insulin resistance ; cognitive function ; JNK/NFκB pathway ; Citri Reticulatae Pericarpium ; flavonoids ; anticancer ; mechanism ; phenotype ; Angelica sinensis polysaccharide ; Astragalus membranaceus polysaccharide ; hexokinase 2 ; glycolysis ; JAK2/STAT3 pathway ; liver regeneration ; Holoptelea integrifolia ; MMP-9 ; wound healing ; friedelin ; oxalactam A ; macrolactam ; anti-Rhizoctonia solani ; Penicillium oxalicum ; molecular dynamics ; non-alcoholic fatty liver disease (NAFLD) ; natural products ; terpenoids ; mechanisms ; treatment ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry
    Language: English
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: In recent years, inorganic oxidic nanomaterials have been extensively investigated for their outstanding properties that allow their use within a large variety of raising fields of interest, ranging from (photo)catalysis to the development of functional nanocomposites. Nanoscopic metal (eventually mixed) oxides are often fabricated following soft-chemistry approaches, characterized by the possibility of favouring specific morphologies, particles dimensions, and surface porosities through different synthetic methods and templating processes. In this context, surface functionalities and reactivity play a major role in the determination of nanomaterials final properties. For this reason, further surface functionalization with specific chemical moieties is often recommended to extend their field of application. This Special Issue, now edited as a book, aimed at extending the comprehension of the mechanisms involved in the synthesis and templating of inorganic oxidic nanomaterials, as well as in their surface functionalization and reactivity. Additionally, this Special Issue aimed at increasing the knowledge on the latest advances of these systems in (photo)catalysis, environmental clean-up processes, energy storage, controlled transport and/or release, biomedicine, sensing, development of smart-materials, stimuli-responsive materials, and nanocomposites. Nanomaterials of interest included: silica, alumina, titania, zirconia, zinc oxide, aluminosilicates, iron oxides, perovskites and titanates, rare earth oxides, and composites. Furthermore, particular attention was dedicated toward studies describing alternative ecofriendly preparation methods.
    Keywords: alumino-silicates ; biomedicine ; ceramics ; clays ; inorganic chemistry ; environmental remediation ; nanomaterials ; porous materials ; mesoporous material ; zero-valent-iron nanoparticles ; methylene blue adsorption ; metal–organic framework ; iridium oxide ; nanostructuration ; IrO2 applications ; IrO2 synthesis ; OER ; C3N4 ; ZnO ; heterojunction ; photocatalyst ; metal oxide nanocomposites ; microstructural analysis ; electrospinning ; polymer substrate ; photodegradation ; LSA 99Mo ; thermodynamic parameters ; solid-phase extraction ; isotherm ; metal oxides NPs ; Ni-Fe-TiO2 nanocomposite ; microstructure ; biocompatibility ; endodontic file ; graphitic carbon nitride ; photocatalysts ; g-C3N4/ZnO ; visible light ; photocatalytic degradation ; inorganic coatings ; functional coatings ; stimuli-responsive polymers ; sol–gel ; antimicrobial ; wear-resistance ; photo-catalytic activity ; UV protection ; calcium oxide-doped carbon nitride nanostructures ; basic fuchsine ; elimination mechanism ; π-π stacking ; magnetic nanoparticles ; magnetite ; solvothermal synthesis ; waste valorization ; green chemistry ; advanced oxidation processes ; experimental protocols ; heterogeneous catalysis ; inorganic thermal activation ; organic pollutants ; perovskites ; physico-chemical characterization ; solution combustion synthesis ; strontium ferrates ; water treatment ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PN Chemistry ; thema EDItEUR::P Mathematics and Science::PN Chemistry::PNK Inorganic chemistry
    Language: English
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The sustainability of water resources worldwide is increasingly imperiled as climate change contributes to the human-induced problems of water supply scarcity and maldistribution. Environmental problems associated with water quality, such as aquifer depletion, land subsidence, the seasonal drying of river flows, waterlogging, the salinization of rivers and groundwater, and human health problems from the excessive use of fertilizers and pesticides will require a radical re-thinking of resource-management policy and new tools to help analysts and regulators craft novel solutions. Over the past several decades, with the advent and rapid progress of computational technology, watershed models have increasingly become important and effective tools for tackling a wide range of water resource and environmental management issues and for supporting regulatory compliance. Statistical and machine-learning methods are being used to support and even supplant more traditional simulation models to improve the estimation of the temporal dynamics and patterns of variability in pollutant concentrations and loads. With the advancements in modeling approaches for water quality, there have also been developments in decision-support tools for water quality management. This reprint describes innovative decision-support approaches from around the world and across sectors that can be applied by stakeholders, government entities, and regulators to reduce environmental pollution and result in cost-effective and sustainable water management strategies.
    Keywords: tree-ring ; flow reconstruction ; pre-development ; estuarine salinity ; salinity intrusion ; water quality forecasting ; decision support ; WARMF ; regression model ; salinity ; irrigated agriculture ; stakeholder involvement ; stream water quality ; CART ; ID3 ; random forest ; bagging ; boosting ; extremely random trees ; Gradient Boosting ; land use factor ; Decision Support System ; water quality forecast ; MLP neural network ; Daubechies 5 wavelet ; long short-term memory network ; hybrid model ; decomposition-and-ensemble ; CE-QUAL-W2 ; EDSS ; SaaS ; irrigation ; agriculture ; policy ; water ; economics ; model ; conservation practices ; decision making ; nutrients ; sediment ; targeting ; water quality ; chemical footprint ; emerging contaminants ; endocrine-disrupting compounds ; footprint calculator ; personal care products ; remote sensing ; geographical information systems ; watershed management ; ambient monitoring ; data collection ; San Joaquin River ; decision support system ; assimilative capacity ; real-time management economics ; drinking water quality ; operational decision-making ; real-time monitoring ; Sacramento-San Joaquin Delta ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQK Pollution control
    Language: English
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The diversity of wood and non-wood forest products is enormous and reflected in their anatomical, physical and chemical properties as well as their potential applications. Special attention should be given to lesser-known species and even to invasive species, which may be profitable when properly managed, thereby decreasing the overexploitation of threatened species. Besides the market importance of stem wood, other tree components and non-wood forest products, often regarded simply as forest residual materials, are valuable forest resources with various potential applications that can strengthen the circular economy. Assessing the characteristics of these diverse materials, such as their structure and anatomy as well as their physical and chemical properties, is fundamental for evaluating their potential and increasing high-quality end-uses. This knowledge will also contribute to sustainable forest management with enhanced forest diversity and species conservation in addition to the reinforcement of certification and environmental policies.
    Keywords: Calamus zollingeri ; Calamus ornatus ; dynamic vapor sorption ; basic density ; volumetric swelling ; white rot ; mold ; Quercus suber L. ; seasonal variation ; cuticular waxes ; leaves ; new species ; morphology ; wood ; properties ; chemical composition ; spectroscopy ; chemometrics ; unconventional species ; Quercus suber ; cork borer ; cork ; phenolics ; tropical species ; wood anatomy ; wood density ; wood color ; multivariate analysis ; species diversity ; dark-brown zone ; lenticular filling tissue ; quantitative anatomical characteristics ; Quercus variabilis ; reproduction cork ; scanning electron microscopy ; sclereid ; virgin cork ; Cytisus scoparius ; liquefied ; optimization ; eco-valorization ; agro-industrial residues ; Asparagaceae ; lignocellulose ; crystalline cellulose ; syringyl/guaiacyl ; anatomy ; Tilia amurensis Rupr. ; Tilia mandshurica Rupr. & Maxim. ; branch ; wood properties ; papermaking material ; tropical timber ; color parameters ; mid-infrared spectroscopy ; FTIR ratios ; environmental factors ; West African Sahel ; Cupressus funebris Endl. wood ; wood knots ; physical properties ; wood color properties ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry
    Language: English
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: New scientific advances in different areas have allowed the design of more precise strategies for the prevention and treatment of metabolic disorders through nutrition. In this context emerges the term Precision Nutrition, a new approach that takes advantage of scientific knowledge about the interaction of internal and external environmental factors to develop dynamic and precise nutritional recommendations. Therefore, Precision Nutrition includes personalized advice based on genetics and well-documented gene–nutrient–phenotype interactions, as well as other factors such as individual metabolome, transcriptome, and microbiota profile; food behavior; and dietary, physical activity, and life-style habits; and the resulting interactomes. Precision Nutrition should be based at least on three sequential steps: conventional nutritional approaches (considering age, gender, and physiological states); the incorporation of nutritional and health status information (e.g., metabolites, physical and nutritional behavior); and the genetic baggage including multiomics functional integration.
    Keywords: dietary parameters ; carbohydrate intake ; obesity ; single nucleotide polymorphism ; CLOCK gene ; rs3749474 ; sodium intake ; hypertension ; single-nucleotide polymorphism ; personalized nutrition ; dietary vitamin A ; body fat ; UCP ; retinoic acid ; PBMC ; genetic variant ; weight loss ; nutrigenomics ; dietary intervention ; FTO gene ; dietary protein ; dietary carbohydrates ; dietary fat ; macronutrients ; gene-diet interaction ; glucose homeostasis ; glaucoma ; polygenetic-risk scores ; gene-gene interaction ; gene-nutrient interaction ; precision medicine ; childhood ; insulin resistance ; adipokine ; metabolomics ; biomarkers ; ELOVL ; metabolic alterations ; Mexican population ; Single Nucleotide Polymorphisms ; pediatrics ; cardiometabolic risk factors ; precision nutrition ; eating behavior ; nutrigenetics ; microbiota ; metabolic syndrome ; Mediterranean diet ; genetic risk score ; HELENA ; adolescents ; sex ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCC Cultural studies::JBCC4 Cultural studies: food and society
    Language: English
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  • 10
    Publication Date: 2024-03-27
    Description: This reprint focuses on exploring the relationship between urban form, mobility, and social well-being across neighborhoods, cities, and regions. Understanding more about these relationships is helpful in shaping integrated sustainable urban planning and transport development strategies. All reprint chapters primarily contribute to the existing literature on the interdisciplinary field of the impact of urban planning and transport on social well-being and facilitate novel ways of measuring the abstract concept of well-being, particularly in Asian and European countries. We suggested that further research could explore these themes in greater depth by means of both theoretical frameworks and methodological developments in this integrated field.
    Keywords: social well-being ; social equity ; quality of life ; behavioural change and decision making ; urban mobility ; travel behaviour ; sustainable transport development ; urban and transport modelling ; urban form ; urban planning ; sustainable cities ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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