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Klingende Eklats

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Book Series: Histoire ISBN: 9783839439838 Year: Pages: 356 DOI: 10.14361/transcript.9783839439838 Language: German
Publisher: transcript Verlag
Subject: Music
Added to DOAB on : 2020-05-04 10:26:18
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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: English
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: English
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: English
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: English
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

Remote Sensing Technology Applications in Forestry and REDD+

Authors: --- --- ---
ISBN: 9783039284702 9783039284719 Year: Pages: 244 DOI: 10.3390/books978-3-03928-471-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2020-04-07 23:07:09
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Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent developments in ground-based sensors have advanced 3D measurements, low-cost permanent systems, and community-based monitoring of forests. The UNFCCC REDD+ mechanism has advanced the remote sensing community and the development of forest geospatial products that can be used by countries for the international reporting and national forest monitoring. However, an urgent need remains to better understand the options and limitations of remote and close-range sensing techniques in the field of forest degradation and forest change. Therefore, we invite scientists working on remote sensing technologies, close-range sensing, and field data to contribute to this Special Issue. Topics of interest include: (1) novel remote sensing applications that can meet the needs of forest resource information and REDD+ MRV, (2) case studies of applying remote sensing data for REDD+ MRV, (3) timeseries algorithms and methodologies for forest resource assessment on different spatial scales varying from the tree to the national level, and (4) novel close-range sensing applications that can support sustainable forestry and REDD+ MRV. We particularly welcome submissions on data fusion.

Keywords

sentinel imagery --- above-ground biomass --- predictive mapping --- machine learning --- geographically weighted regression --- canopy cover (CC) --- spectral --- texture --- digital hemispherical photograph (DHP) --- random forest (RF) --- gray level co-occurrence matrix (GLCM) --- forest inventory --- LiDAR --- tall trees --- overstory trees --- tree mapping --- crown delineation --- aboveground biomass --- Landsat --- random forest --- topography --- human activity --- aboveground biomass estimation --- remote sensing --- crown density --- low-accuracy estimation --- model comparison --- old-growth forest --- multispectral satellite imagery --- random forest --- forest classification --- remote sensing --- forestry --- phenology --- silviculture --- forest growing stock volume (GSV) --- full polarimetric SAR --- subtropical forest --- topographic effects --- environment effects --- geographic information system --- support vector machine --- random forest --- ensemble model --- hazard mapping --- 3D tree modelling --- aboveground biomass estimation --- destructive sampling --- Guyana --- LiDAR --- local tree allometry --- model evaluation --- quantitative structural model --- Pinus massoniana --- specific leaf area --- leaf area --- terrestrial laser scanning --- voxelization --- forest canopy --- REDD+ --- Cameroon --- reference level --- deforestation --- agriculture --- forest baseline --- airborne laser scanning --- terrestrial laser scanning --- remote sensing --- REDD+ --- forestry

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Authors: ---
ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
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

Intelligent Imaging and Analysis

Authors: ---
ISBN: 9783039219209 9783039219216 Year: Pages: 492 DOI: 10.3390/books978-3-03921-921-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:08
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Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.

Keywords

image inspection --- non-referential method --- feature extraction --- fault pattern learning --- weighted kernel density estimation (WKDE) --- rail surface defect --- UAV image --- defect detection --- gray stretch maximum entropy --- image enhancement --- defect segmentation --- semi-automatic segmentation --- MR spine image --- vertebral body --- graph-based segmentation --- correlation --- surface defect of steel sheet --- image segmentation --- saliency detection --- low-rank and sparse decomposition --- intervertebral disc --- segmentation --- convolutional neural network --- fine grain segmentation --- U-net --- deep learning --- magnetic resonance image --- lumbar spine --- image adjustment --- colorfulness --- contrast --- sharpness --- high dynamic range --- local registration --- iterative closest points --- multimodal medical image registration --- machine vision --- point cloud registration --- greedy projection triangulation --- local correlation --- three-dimensional imaging --- optimization arrangement --- cavitation bubble --- water hydraulic valve --- defect inspection --- image processing --- feature extraction --- classification methods --- medical image registration --- image alignment in medical images --- misalignment correction in MRI --- midsagittal plane extraction --- symmetry detection --- PCA --- conformal mapping --- mesh parameterization --- mesh partitioning --- pixel extraction --- texture mapping --- image analysis --- image retrieval --- spatial information --- image classification --- computer vision --- image restoration --- motion deburring --- image denoising --- sparse feedback --- Image processing --- segmentation --- spline --- grey level co-occurrence matrix --- gradient detection --- threshold selection --- OpenCV --- machine learning --- transfer learning --- Inception-v3 --- geological structure images --- convolutional neural networks --- image segmentation --- active contour model --- level set --- signed pressure force function --- image segmentation --- deep learning --- synthetic aperture radar (SAR) --- oil slicks --- segnet --- pectus excavatum --- nuss procedure --- patient-specific nuss bar --- minimally invasive surgery --- computerized numerical control bending machine --- computer-aided design --- computer-aided manufacturing --- statistical body shape model --- self-intersection penalty term --- 3D pose estimation --- 3D semantic mapping --- incrementally probabilistic fusion --- CRF regularization --- road scenes --- deep learning --- medical image classification --- additional learning --- CT image --- automatic training --- GoogLeNet --- intelligent evaluation --- automated cover tests --- deviation of strabismus --- pupil localization --- shape from focus --- wear measurement --- sprocket teeth --- normal distribution operator image filtering --- adaptive evaluation window --- reverse engineering --- human parsing --- depth-estimation --- computational efficiency --- capacity optimization --- underwater visual localization method --- line segment features --- PL-SLAM --- face sketch synthesis --- face sketch recognition --- joint training model --- data imbalance --- Contrast Tomography (CT) --- pre-training strategy --- segmentation --- super-resolution --- dual-channel --- residual block --- convolutional kernel parameter --- long-term and short-term memory blocks --- n/a

Visual Sensors

Authors: ---
ISBN: 9783039283385 9783039283392 Year: Pages: 738 DOI: 10.3390/books978-3-03928-339-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.

Keywords

3D reconstruction --- RGB-D sensor --- non-rigid reconstruction --- pedestrian detection --- boosted decision tree --- scale invariance --- receptive field correspondence --- soft decision tree --- single-shot 3D shape measurement --- digital image correlation --- warp function --- inverse compositional Gauss-Newton algorithm --- UAV image --- dynamic programming --- seam-line --- optical flow --- image mosaic --- iris recognition --- presentation attack detection --- convolutional neural network --- support vector machines --- content-based image retrieval --- textile retrieval --- textile localization --- texture retrieval --- texture description --- visual sensors --- iris recognition --- iris segmentation --- semantic segmentation --- convolutional neural network (CNN) --- visible light and near-infrared light camera sensors --- laser sensor --- line scan camera --- lane marking detection --- support vector machine (SVM) --- image binarization --- lane marking reconstruction --- automated design --- vision system --- FOV --- illumination --- recognition algorithm --- action localization --- action segmentation --- 3D ConvNets --- LSTM --- visual sensors --- image retrieval --- hybrid histogram descriptor --- perceptually uniform histogram --- motif co-occurrence histogram --- omnidirectional imaging --- visual localization --- catadioptric sensor --- visual information fusion --- image processing --- underwater imaging --- embedded systems --- stereo vision --- visual odometry --- 3D reconstruction --- handshape recognition --- sign language --- finger alphabet --- skeletal data --- visual odometry --- ego-motion estimation --- stereo --- RGB-D --- mobile robots --- around view monitor (AVM) system --- automatic calibration --- lane marking --- parking assist system --- advanced driver assistance system (ADAS) --- pose estimation --- symmetry axis --- point cloud --- sweet pepper --- semantic mapping --- RGB-D SLAM --- visual mapping --- indoor visual SLAM --- adaptive model --- motion estimation --- stereo camera --- person re-identification --- end-to-end architecture --- appearance-temporal features --- Siamese network --- pivotal frames --- visual tracking --- correlation filters --- motion-aware --- adaptive update strategy --- confidence response map --- camera calibration --- Gray code --- checkerboard --- visual sensor --- image retrieval --- human visual system --- local parallel cross pattern --- pose estimation --- straight wing aircraft --- structure extraction --- consistent line clustering --- parallel line --- planes intersection --- salient region detection --- appearance based model --- regression based model --- human visual attention --- background dictionary --- quality control --- fringe projection profilometry --- depth image registration --- 3D reconstruction --- speed measurement --- stereo-vision --- large field of view --- vibration --- calibration --- CLOSIB --- statistical information of gray-levels differences --- Local Binary Patterns --- texture classification --- texture description --- Visual Sensors --- SLAM --- RGB-D --- indoor environment --- Manhattan frame estimation --- orientation relevance --- spatial transformation --- robotic welding --- seam tracking --- visual detection --- narrow butt joint --- GTAW --- LRF --- camera calibration --- extrinsic calibration --- sensors combination --- geometric moments --- camera pose --- rotation-angle --- measurement error --- robotics --- robot manipulation --- depth vision --- star image prediction --- star sensor --- Richardson-Lucy algorithm --- neural network --- tightly-coupled VIO --- SLAM --- fused point and line feature matching --- pose estimates --- simplified initialization strategy --- patrol robot --- map representation --- vision-guided robotic grasping --- object recognition --- pose estimation --- global feature descriptor --- iterative closest point --- n/a

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