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Impact of Bioactive Peptides on Human Health

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ISBN: 9783038976202 / 9783038976219 Year: Pages: 212 DOI: 10.3390/books978-3-03897-621-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Chemical Technology --- Nutrition and Food Sciences
Added to DOAB on : 2019-02-19 09:06:48
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Food-derived bioactive peptides or dietary peptides are increasingly becoming recognized as major food compounds for human health promotion, which prevent the occurrence of chronic diseases through their impacts on the gastrointestinal, cardiovascular, immune, and nervous systems. Further bioactive peptide discoveries are essential for maintaining human health and commercial development in the area of functional foods and nutraceuticals. This Special Issue covers a wide range of research topics specifically on food-derived bioactive proteins and peptides including the in-vitro and in-vivo evaluation of biological activities, bio-accessibility, intestinal absorption, bioavailability, the effect on chronic diseases, and the modulation of human nutrition.

Antimicrobial Resistance in Environmental Waters

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ISBN: 9783038976080 9783038976097 Year: Pages: 188 DOI: 10.3390/books978-3-03897-609-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-05-09 17:16:14
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This Special Issue on Antimicrobial Resistance in Environmental Waters features 11 articles on the monitoring and surveillance of antimicrobial resistance (AMR) in natural aquatic systems (i.e., reservoirs, rivers), and effluent discharge from water treatment plants to assess the effectiveness of AMR removal and resulting loads in treated waters. Some of the key elements of AMR studies presented in this Special Issue highlight the underlying drivers of AMR contamination in the environment and the evaluation of the hazard imposed on aquatic organisms in receiving environments through ecological risk assessments. As described in this Issue, screening antimicrobial peptide (AMP) libraries for biofilm disruption and antimicrobial candidates are promising avenues for the development of new treatment options to eradicate resistance.

Recent Advances in Water Management: Saving, Treatment and Reuse

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ISBN: 9783038970316 / 9783038970323 Year: Pages: 208 DOI: 10.3390/books978-3-03897-032-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Environmental Sciences
Added to DOAB on : 2019-08-28 11:21:28
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This book is a printed edition of the Special Issue Recent Advances in Water Management: Saving, Treatment and Reuse that was published in Water

Keywords

guidelines --- contaminated sites --- risk assessment --- China --- ferrous iron --- ferrous sulfide --- hydrogen sulfide --- odor control --- pumping mains --- sewerage --- pharmaceuticals --- micropollutant removal --- tezontle --- filter media --- active sites --- trickling filter --- anaerobic digester --- swine wastewater --- organic matter --- COD --- decomposition analysis --- global patent data --- research and development strategy --- water treatment technology --- anammox bacteria --- wastewater treatment --- nitrification --- denitrification --- zeolite --- combined sewer --- wastewater treatment --- microbiological quality --- surface water --- river --- lignin --- delignification --- pulp-and-paper-mill c --- wastewater --- white rot fungi --- B. adusta --- P. crysosporium --- foreign countries --- agricultural occupations --- water --- environmental education --- surveys --- sustainability --- milk production --- water --- footprint --- water recycling --- conservation --- partitioning --- efficiency --- forest waste --- palm mulch --- constructed wetlands --- vertical flow --- water treatment --- passive treatment systems --- anaerobic processes --- constructed wetlands --- ornamental plants --- treated wastewater reuse --- advanced oxidation processes (AOPs) --- activated carbon adsorption --- carbamazepine toxicity --- conventional treatment processes --- membrane technology --- occurrence --- food industry --- anticorrosive agent --- benzotriazole --- emerging contaminant --- oxygen injection --- Pb(II) --- nano illite/smectite clay --- adsorption kinetics --- adsorption thermodynamic

Forest Insects and Pathogens in a Changing Environment: Ecology, Monitoring & Genetics (IUFRO Joint Meeting of WP7.03.05 & 7.03.10)

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ISBN: 9783039215119 / 9783039215126 Year: Pages: 158 DOI: 10.3390/books978-3-03921-512-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Environmental Sciences
Added to DOAB on : 2019-12-09 11:49:15
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After the successful conclusion of the Joint Meeting of IUFRO’s 7.03.05 & 7.03.10 working parties and given the exciting and novel studies that have been presented in the framework of this meeting, we decided to present some of these studies in the current Special Issue of Forests. To make this issue more appealing and interesting to everyone in the field of Forest Protection, studies that cover a wide range of topics were selected, ranging from ecology and phylogeography to forest management and protection. More importantly, as these studies refer to pests and pathogens from different parts of the world, it is expected that the knowledge gained can be further used in the protection of natural environment worldwide.

The Interplay of Microbiome and Immune Response in Health and Diseases

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ISBN: 9783039216468 / 9783039216475 Year: Pages: 206 DOI: 10.3390/books978-3-03921-647-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Internal medicine
Added to DOAB on : 2019-12-09 11:49:16
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[Increasing evidence suggests that microbiota and especially the gut microbiota (the microbes inhabiting the gut including bacteria, archaea, viruses, and fungi) plays a key role in human physiology and pathology. Recent findings indicate how dysbiosis—an imbalance in the composition and organization of microbial populations—could severely impact the development of different medical conditions (from metabolic to mood disorders), providing new insights into the comprehension of diverse diseases, such as IBD, obesity, asthma, autism, stroke, diabetes, and cancer. Given that microbial cells in the gut outnumber host cells, microbiota influences human physiology both functionally and structurally. Microbial metabolites bridge various—even distant—areas of the organism by way of the immune and hormone system. For instance, it is now clear that the mutual interaction between the gastrointestinal tract and the brain (gut–brain axis), often involves gut microbiota, indicating that the crosstalk between the organism and its microbial residents represents a fundamental aspect of both the establishment and maintenance of healthy conditions. Moreover, it is crucial to recognize that beyond the intestinal tract, microbiota populates other host organs and tissues (e.g., skin and oral mucosa). We have edited this eBook with the aim of publishing manuscripts focusing on the impact of microbiota in the development of different diseases and their associated treatments.]

Keywords

microbiota --- rheumatoid arthritis --- anti-TNF-? --- methotrexate --- etanercept --- disease activity --- microbiome --- health --- precision medicine --- genomics --- bacteriocins --- bacteriophages --- antibiotics --- gastrointestinal diseases --- dysbiosis --- gut barrier --- gut microbiota --- virus --- vaginal microbiota --- HIV --- HPV --- HSV2 --- cytokines --- chemokines --- innate immunity --- adaptive immunity --- microbiota --- autoimmunity --- etiopathogenesis --- Candida albicans --- 2,3-dihydroxy-4-methoxyBenzaldehyde --- melanin --- colitis --- anaerobic bacteria --- aerobic bacteria --- gut microbiota --- gut-liver axis --- chronic liver diseases --- fecal transplantation --- probiotics --- gut microbiota --- immunological niche --- dysbiosis --- cancer --- immune system --- cutaneous immunity --- microbiome --- Staphylococcus spp., T cells --- Staphylococcus aureus --- Staphylococcus epidermis --- commensals --- atopic dermatitis --- intravenous immunoglobulin G --- colitis --- dextran sulfate sodium --- mice --- inflammation --- cytokines --- Candida albicans --- Escherichia coli --- Enterococcus faecalis --- gut microbiota --- chemo free treatment --- lymphoid malignancies --- 16S rRNA gene --- chondroitin sulfate disaccharide --- co-occurrence network --- global network --- microbial interactions --- microbiome --- modularity --- superoxide dismutase --- gut microbiota --- macrophages --- TLR mimicry --- immune epigenetics --- metabolism --- sterile inflammation --- microbiota --- microbiome --- immunotherapy --- adoptive cell transfer (ACT) --- CAR T-cell --- TCR --- TIL --- checkpoint inhibitors --- immuno-oncology --- cancer --- diet --- n/a

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

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ISBN: 9783039212156 / 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

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MDPI - Multidisciplinary Digital Publishing Institute (6)


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CC by-nc-nd (6)


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eng (5)

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2019 (5)

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