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Agroforestry Systems: The Role of Trees in Ecosystem Services—A Special Issue in Collaboration with the 4th World Congress on Agroforestry

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ISBN: 9783039281640 / 9783039281657 Year: Pages: 184 DOI: 10.3390/books978-3-03928-165-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Agriculture (General)
Added to DOAB on : 2020-06-09 16:38:57
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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.

Medicinal Plants and Natural Product Research

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ISBN: 9783039281183 9783039281190 Year: Pages: 231 DOI: 10.3390/books978-3-03928-119-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Plant Sciences
Added to DOAB on : 2020-04-07 23:07:08
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The book entitled Medicinal Plants and Natural Product Research describes various aspects of ethnopharmacological uses of medicinal plants; extraction, isolation, and identification of bioactive compounds from medicinal plants; various aspects of biological activity such as antioxidant, antimicrobial, anticancer, immunomodulatory activity, etc., as well as characterization of plant secondary metabolites as active substances from medicinal plants.

Keywords

Chrysanthemum coronarium L. --- aerial parts --- caffeoylquinic acids --- Malian medicinal plants --- Biophytum umbraculum --- Burkea africana --- Lannea velutina --- Terminalia macroptera --- medicinal plants --- traditional knowledge --- Eastern Himalayas --- mountain plants --- ethnobotany --- ethnopharmacology --- bioprospecting --- antibiotic resistance --- antimicrobial --- mechanism of action --- plant metabolite --- saline habitats --- secondary metabolites --- adaptation --- different solvents --- antibiotic resistance --- antimicrobial activity --- cytotoxicity --- ethnobotany --- Eucalyptus --- natural products --- Pseudomonas aeruginosa --- stingless bees --- Tetragonula --- traditional medicine --- basil varieties --- essential oil --- GC-MS --- harvest --- cluster analysis --- antimicrobial --- antioxidants --- medicinal plants --- BHT --- Ficus hirta --- Moraceae --- carboline alkaloids --- sesquiterpenoids --- flavonoids --- antifungal --- phytochemicals --- Nirgundi --- chaste tree --- antibacterial --- free radical --- scavenger --- oxidative stress --- P. alliaceae --- P. niruri --- S. reticulata --- UPLC --- TQ-ESI-MS --- proanthocyanidins --- mass spectrometry --- antioxidant --- cytotoxicity --- Moringa oleifera --- DPPH --- antioxidant activity --- oxidative stress --- sickle cell anemia --- Ophiopogon --- Liriope --- rbcL --- DNA barcoding --- high-resolution melt curve (HRM) analysis --- allergy --- inflammation --- mast cells --- Immulina® --- immunLoges® --- anthracene derivatives --- antimicrobial --- Asphodelus --- ethnomedicine --- skin diseases --- plant-food --- processing --- nutraceuticals --- inflammation --- health --- Arbutus unedo L. --- ?-glucosidase --- catechin --- HPLC --- NMR --- activity --- bioproduct --- Brunfelsia --- Amazonian --- Ecuador --- ethnobotanic --- ayahuasca --- validation --- drug discovery --- scopoletin

Virus Bioinformatics

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ISBN: 9783039218820 9783039218837 Year: Pages: 330 DOI: 10.3390/books978-3-03921-883-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2020-04-07 23:07:08
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Virus bioinformatics is evolving and succeeding as an area of research in its own right, representing the interface of virology and computer science. Bioinformatic approaches to investigate viral infections and outbreaks have become central to virology research, and have been successfully used to detect, control, and treat infections of humans and animals. As part of the Third Annual Meeting of the European Virus Bioinformatics Center (EVBC), we have published this Special Issue on Virus Bioinformatics.

Keywords

bioinformatics --- virus --- comparative genomics --- software --- Base-By-Base --- BBB --- poxvirus --- ASFV --- MSA --- foot-and-mouth disease virus (FMDV) --- bovine soft palate --- nasopharynx --- transcriptomics --- proteomics --- bioinformatics --- virus-host interaction --- innate immune system --- interferon-stimulated genes (ISG) --- cellular immunity --- codon frequency distribution --- HPV58 --- minor capsid protein --- TLR agonist --- prophylaxis --- virus --- infection --- fluorescent reporter protein --- image quantification --- Hepatitis C virus --- Yellow Fever Virus --- polyomavirus --- Coxsackievirus B4 --- bivalve --- virome --- RNA-seq --- RNA viruses --- sncRNA --- ADAR --- RNAi --- Marek’s disease virus (MDV) --- RNA-seq --- transcriptome --- splicing --- polycistronic viral transcripts --- primary B cells --- RB1B --- CVI988/Rispens --- ICP0 --- DNA replication --- ori --- mitochondria --- Rickettsia --- gram-positive bacteria --- APMV --- Mimivirus --- giant virus --- eukaryogenesis --- flavivirus --- non-coding RNA --- secondary structure --- endogenous viral elements --- bioinformatics --- horizontal gene transfer --- virus-to-host gene transfer --- HMM --- tobacco mosaic virus --- Drosophila --- capsid protein --- deep sequencing --- virus genomics --- hepatitis C virus --- variant calling --- sequence interpretation --- drug resistance --- bioinformatics --- alignment --- assembly --- taxonomic classification --- time series --- data transformation --- DWT --- DFT --- PAA --- data compression --- compressive genomics --- RNAseq --- honey bees --- deformed wing virus --- quasispecies --- apiary pests --- recombination --- mRNA structure --- structure database --- secondary structure --- viral mRNA --- subVOG --- structurally related --- RNA structure --- structurally homogenous --- structurally related --- mRNA families --- Amebae viruses --- viral evolution --- protein domains --- mimivirus --- dsdna viruses --- translation machinery --- pandoravirus --- NCLDV --- virology --- virus bioinformatics --- software --- systems virology --- metagenomics --- virome --- viral taxonomy --- virus classification --- genome evolution --- bacteriophage --- virosphere --- chemical organization theory --- influenza A --- virus dynamics modeling --- complex networks analysis --- viral metagenome --- groundwater --- aquifer --- AquaDiva --- sequencing library preparation --- virus proteomics --- mass spectrometry --- virus diagnostics --- data analysis --- targeted proteomics --- peptide selection --- parallel reaction monitoring

Arthropod Venom Components and Their Potential Usage

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ISBN: 9783039285402 9783039285419 Year: Pages: 404 DOI: 10.3390/books978-3-03928-541-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Public Health --- Medicine (General)
Added to DOAB on : 2020-04-07 23:07:09
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Thousands of arthropod species, ranging from arachnids (spiders and scorpions) to hymenopterans (ants, bees, and wasps) and myriapods (centipedes), are venomous and use their venoms for both defense and predation. These venoms are invariably harmful to humans, and some may cause serious injuries, e.g., those from scorpions, spiders, and wasps. Arthropods’ venoms are also known as rich sources of biologically active compounds and have attracted the attention of toxin researchers for years. In this century, venom component analysis has progressed considerable due to the advances in analytical techniques, in particular, mass spectrometry and next-generation deep (DNA and RNA) sequencing. As such, proteomic and peptidomic analyses using LC–MS have enabled the full analysis of venom components, revealing a variety of novel peptide and protein toxins sequences and scaffolds, potentially useful as pharmacological research tools and for the development of highly selective peptide ligands and therapeutic leads, like chlorotoxin. Due to their specificity for numerous ion-channel subtypes, including voltage- and ligand-gated ion channels, arthropod neurotoxins have been investigated to dissect and treat neurodegenerative diseases and control epileptic syndromes. This Special Issue collects information on such progress, encouraging contributions on the chemical and biological characterization of venom components, not only peptides and proteins, but also small molecules, their mechanisms of action, and the development of venom-derived peptide leads.

Keywords

ant --- venom --- mass spectrometry analysis --- pilosulin-like peptide --- phospholipases D --- metalloproteases --- Loxosceles spp. --- recombinant toxins --- hybrid immunogen --- neutralizing antibodies --- antivenoms --- LyeTxI-b --- Staphylococcus aureus --- keratitis --- AMP --- mastoparan --- Acinetobacter baumannii --- stent --- cantharidin --- blister beetle --- Berberomeloe majalis --- nematicide --- ixodicide --- antifeedant --- scorpion venom --- insecticidal peptide --- mass spectrometric analysis --- de novo sequencing --- Centruroides limpidus Karch --- proteome --- scorpion --- transcriptome --- venom toxicity --- brown spider --- venom --- Loxosceles --- toxins --- biotools --- drug targets --- novel therapeutics --- spider toxin --- directed disulfide bond formation --- Nav channel activity --- Nav1.7 --- pain target --- automated patch-clamp --- bee venom --- alternative treatment --- skin --- cutaneous disease --- mechanism --- chemotherapy --- cold allodynia --- mechanical allodynia --- melittin --- neuropathic pain --- oxaliplatin --- natural antibiotics --- piperidine heterocyclic amines --- industrial biotechnology --- LTQ Orbitrap Hybrid Mass Spectrometer --- myrmecology --- venom --- pain --- ants --- wasps --- bees --- Hymenoptera --- envenomation --- toxins --- peptides --- pharmacology --- Dinoponera quadriceps --- Formicidae --- Hymenoptera venom --- proteomics --- venom allergens --- ICK-like toxins --- melittin --- insect immune system --- apoptosis --- heart contractility --- Tenebrio molitor --- bee venom --- bioinformatics --- computational docking --- homology modelling --- ion channel structure --- protein–peptide interactions --- tertiapin --- venom peptides --- virtual screening --- small hive beetle --- solitary wasp --- venom --- antimicrobial peptide --- linear cationic ?-helical peptide --- amphipathic ?-helix structure --- channel-like pore-forming activity --- antimicrobial peptide --- venom --- arthropod --- malaria --- Chagas disease --- human African trypanosomiasis --- leishmaniasis --- toxoplasmosis --- venom peptides --- FMRF-amide --- insect neurotoxin --- protons --- pH regulation --- acid-sensing ion channels --- acid-gated currents --- chronic pain --- ICK peptide --- knottins --- NaV --- spider venom --- voltage-gated sodium channel --- n/a

Flood Forecasting Using Machine Learning Methods

Authors: --- ---
ISBN: 9783038975489 Year: Pages: 376 DOI: 10.3390/books978-3-03897-549-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-03-08 11:42:05
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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

Keywords

data scarce basins --- runoff series --- data forward prediction --- ensemble empirical mode decomposition (EEMD) --- stopping criteria --- method of tracking energy differences (MTED) --- deep learning --- convolutional neural networks --- superpixel --- urban water bodies --- high-resolution remote-sensing images --- monthly streamflow forecasting --- artificial neural network --- ensemble technique --- phase space reconstruction --- empirical wavelet transform --- hybrid neural network --- flood forecasting --- self-organizing map --- bat algorithm --- particle swarm optimization --- flood routing --- Muskingum model --- machine learning methods --- St. Venant equations --- rating curve method --- nonlinear Muskingum model --- hydrograph predictions --- flood routing --- Muskingum model --- hydrologic models --- improved bat algorithm --- Wilson flood --- Karahan flood --- flood susceptibility modeling --- ANFIS --- cultural algorithm --- bees algorithm --- invasive weed optimization --- Haraz watershed --- ANN-based models --- flood inundation map --- self-organizing map (SOM) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- ensemble technique --- artificial neural networks --- uncertainty --- streamflow predictions --- sensitivity --- flood forecasting --- extreme learning machine (ELM) --- backtracking search optimization algorithm (BSA) --- the upper Yangtze River --- deep learning --- LSTM network --- water level forecast --- the Three Gorges Dam --- Dongting Lake --- Muskingum model --- wolf pack algorithm --- parameters --- optimization --- flood routing --- flash-flood --- precipitation-runoff --- forecasting --- lag analysis --- random forest --- machine learning --- flood prediction --- flood forecasting --- hydrologic model --- rainfall–runoff, hybrid & --- ensemble machine learning --- artificial neural network --- support vector machine --- natural hazards & --- disasters --- adaptive neuro-fuzzy inference system (ANFIS) --- decision tree --- survey --- classification and regression trees (CART), data science --- big data --- artificial intelligence --- soft computing --- extreme event management --- time series prediction --- LSTM --- rainfall-runoff --- flood events --- flood forecasting --- data assimilation --- particle filter algorithm --- micro-model --- Lower Yellow River --- ANN --- hydrometeorology --- flood forecasting --- real-time --- postprocessing --- machine learning --- early flood warning systems --- hydroinformatics --- database --- flood forecast --- Google Maps

Signal Processing and Analysis of Electrical Circuit

Authors: --- ---
ISBN: 9783039282944 9783039282951 Year: Pages: 604 DOI: 10.3390/books978-3-03928-295-1 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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This Special Issue with 35 published articles shows the significance of the topic “Signal Processing and Analysis of Electrical Circuit”. This topic has been gaining increasing attention in recent times. The presented articles can be categorized into four different areas: signal processing and analysis methods of electrical circuits; electrical measurement technology; applications of signal processing of electrical equipment; fault diagnosis of electrical circuits. It is a fact that the development of electrical systems, signal processing methods, and circuits has been accelerating. Electronics applications related to electrical circuits and signal processing methods have gained noticeable attention in recent times. The methods of signal processing and electrical circuits are widely used by engineers and scientists all over the world. The constituent papers represent a significant contribution to electronics and present applications that can be used in industry. Further improvements to the presented approaches are required for realizing their full potential.

Keywords

VMD --- signal analysis --- ICEEMD --- IMF --- random noise --- attenuation --- commutator motor --- fault diagnosis --- method --- technique --- signal processing --- acoustic --- Inner and outer product --- tensor --- FPGA --- hardware --- direct digital synthesizer (DDS) --- frequency tuning word (FTW) --- stability --- accuracy --- demodulation --- phase-locked loop --- Chebyshev filter --- measurement noise suppression --- class AB operation --- CMOS --- current mirror --- current buffer --- quasi floating gate --- low power --- CMOS --- dynamic comparator --- offset calibration --- high speed --- low noise --- low power --- ADC --- all-pass filter --- CMOS --- time delay --- broadband --- true-time-delay --- electrochemical impedance spectroscopy --- FRA --- multichannel acquisition --- impedance spectrometry --- microcontroller --- intelligent vehicles --- LiDAR odometry --- range sensing --- simultaneous localization and mapping (SLAM) --- tilt sensor --- sensor data fusion --- complementary filters --- overlap-add processing --- spectral analysis --- variational mode decomposition (VMD) --- duffing chaotic oscillator (DCO) --- permutation entropy (PE) --- feature extraction --- frequency characteristic --- underwater acoustic signal --- ship-radiated noise --- PM/PWM --- capacitance-to-time conversion --- differential capacitive sensor --- brick-wall filter --- fuzzy logic --- induction motor --- Shannon entropy --- short-circuit fault --- APF --- CNFET --- pole-frequency --- chirality --- phase angle --- tuning --- DC–DC converter --- switched capacitor --- power management integrated circuit --- CMOS technology --- frequency standard comparator --- dual Mixing Time difference --- phase difference --- correlation function --- chebyshev polynomial --- compressed sensing --- estimated sparsity --- least squares solution --- stochastic gradient --- reconstruction probability --- direct position determination --- array signal processing --- Doppler shifts --- matrix eigen-perturbation theory --- system errors --- Cramér–Rao bound --- differential power analysis (DPA), SIMON --- fault injection --- double rate --- power randomization --- intention of movement classification --- EMG-Signals --- Support Vector Machines --- asynchronous --- delay cell --- passive resistor --- SAR ADC --- loop delay circuit --- Resistance-to-Period converter --- robust read-out circuits --- ratiometric technique --- Fresnel lens --- wingbeat --- insects --- optoelectronics --- bees --- wasps --- fruit flies --- e-traps --- analog-to-digital converter --- successive approximation register --- direct sampling --- time-interleaved --- channel-selection-embedded bootstrap --- segmented pre-quantization and bypass --- LVDS --- high-speed serial interface --- transmitter --- receiver --- low-power --- image fusion --- multi-sensor fusion --- night vision --- hierarchical heterogeneous multi-DAG workflow --- multigroup scan --- ultrasonic phased array --- heterogeneous earliest finish time --- resolver --- discrete wavelet transform --- singular value decomposition --- automatic calibration --- noise reduction --- ripple voltage measurement --- DAC --- comparator --- peak-ripple estimation --- binary search --- low-cost --- secret image sharing --- digital image --- n-out-of-n scheme --- color palette --- colluder attack --- image restoration --- impulse noise --- ADMM --- HOCTVL1 --- spatially adapted regularization parameter --- rod electrode --- electrostatic induction --- method of images --- induced charge --- induced current --- 3D-IC design --- NILT --- TSV noise coupling --- RDL --- chain matrix --- interconnect line --- n/a

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