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Revisiting the Effectiveness of Transcranial Direct Current Brain Stimulation for Cognition: Evidence, Challenges, and Open Questions

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453252 Year: Pages: 104 DOI: 10.3389/978-2-88945-325-2 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2018-02-27 16:16:45
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The aim of this Frontiers Research Topic is to assemble a collection of papers from experts in the field of non-invasive brain stimulation that will discuss (1) the strength of the evidence regarding the potential of tDCS to modulate different aspects of cognition; (2) methodological caveats associated with the technique that may account for the variability in the reported findings; and (3) a set of challenges and future directions for the use of tDCS that can determine its potential as a reliable method for cognitive rehabilitation, maintenance, or enhancement.

The Safety and Efficacy of Noninvasive Brain Stimulation in Development and Neurodevelopmental Disorders

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889196999 Year: Pages: 68 DOI: 10.3389/978-2-88919-699-9 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-04-07 11:22:02
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Noninvasive brain stimulation (including Transcranial Magnetic Stimulation (TMS) and Transcranial Current Brain Stimulation (TCS)) can be used both experimentally and therapeutically. In the experimental domain TMS can be applied in single pulses to depolarize a small population of neurons in a targeted brain region. This protocol can be used, for example, to map cortical motor outputs, study central motor conduction time, or evaluate the cortical silent period (a measure of intracortical inhibition) all of which are relevant to neurodevelopment. TMS can also be applied in pairs of pulses (paired pulse stimulation, ppTMS) where two pulses are presented in rapid succession to study intracortical inhibition and facilitation. Trains of repeated TMS (rTMS) pulses can be applied at various stimulation frequencies and patterns to modulate local cortical excitability beyond the duration of the stimulation itself. Depending on the parameters of stimulation the excitability can be either facilitated or suppressed. TCS (including Transcranial Direct Current Stimulation (tDCS), alternating current (tACS), and random noise current stimulation (tRNS) also have the potential to modulate cortical excitability and have also been used to study and modulate cortical activity in healthy and patient populations. The after-effects of rTMS and TCS are thought to be related to changes in efficacy (in either the positive or negative direction) of synaptic connections of the neurons being stimulated, thus these techniques have been used to study and modulate cortical plasticity mechanisms in a number of populations. Recently, researchers have begun to apply these techniques to the study of neurodevelopmental mechanisms as well as the pathophysiology and development of novel treatments for neurodevelopmental disorders. Though there is much promise, caution is warranted given the vulnerability of pediatric and clinical populations and the potential that these techniques have to modify circuit development in a cortex that is in a very dynamic state. This Research Topic hopes to provide an opportunity to share ideas across areas (human and animal researchers, clinicians and basic scientists). We are particularly interested in papers that address issues of choosing a protocol (intensity, frequency, location, coil geometry etc.), populations where noninvasive brain stimulation may have direct impact on diagnostics and treatment, as well as the safety and ethics of applying these techniques in pediatric populations. As many may not be aware of the potential and limitations of noninvasive brain stimulation and its use for research and treatment in this area, this Research Topic promises to have broad appeal. Submissions for all Frontiers article types are encouraged.

Sensors in Agriculture

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ISBN: 9783038974123 9783038974130 Year: Pages: 346 DOI: 10.3390/books978-3-03897-413-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Sensors in Agriculture

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ISBN: 9783038977445 9783038977452 Year: Pages: 354 DOI: 10.3390/books978-3-03897-745-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Kidney Inflammation, Injury and Regeneration

Authors: --- ---
ISBN: 9783039285389 / 9783039285396 Year: Pages: 496 DOI: 10.3390/books978-3-03928-539-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Internal medicine
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

Acute kidney injury (AKI) is still associated with high morbidity and mortality incidence rates, and also bears an elevated risk of subsequent chronic kidney disease. Although the kidney has a remarkable capacity for regeneration after injury and may recover completely depending on the type of renal lesions, the options for clinical intervention are restricted to fluid management and extracorporeal kidney support. The development of novel therapies to prevent AKI, to improve renal regeneration capacity after AKI, and to preserve renal function is urgently needed. The Special Issue covers research articles that investigated the molecular mechanisms of inflammation and injury during different renal pathologies, renal regeneration, diagnostics using new biomarkers, and the effects of different stimuli like medication or bacterial components on isolated renal cells or in vivo models. The Special Issue contains important reviews that consider the current knowledge of cell death and regeneration, inflammation, and the molecular mechanisms of kidney diseases. In addition, the potential of cell-based therapy approaches that use mesenchymal stromal/stem cells or their derivates is summarized. This edition is complemented by reviews that deal with the current data situation on other specific topics like diabetes and diabetic nephropathy or new therapeutic targets.

Keywords

kidney injury --- alport syndrome --- modifier gene --- nephrin --- podocin --- glomerular basement membrane --- slit diaphragm --- focal segmental glomerulosclerosis --- inflammatory bowel disease (IBD) --- DSS-colitis --- glomerular filtration barrier (GFB) --- type IV collagen --- type I collagen --- type V collagen --- genotype --- IL-18 --- polymorphism --- renal cell carcinoma --- Taiwan --- mesenchymal stem cells --- acute and chronic kidney disease --- exosome --- natural products --- non-coding RNAs --- microRNAs --- long non-coding RNAs --- renal fibrosis --- biomarkers --- therapeutics targets --- rhabdomyolysis --- pigment nephropathy --- haem --- NLRP3 inflammasome --- acute kidney injury --- hypertension --- kidney --- molecular signaling --- hematuria --- inflammation --- oxidative stress --- tubular injury --- AKI --- chronic kidney disease (CKD) --- mesenchymal stromal cells --- extracellular vesicles --- acute kidney injury --- modified-MSCs --- microRNA --- mesenchymal stem cell --- mesodermal stem cell --- renal ischemia-reperfusion --- inflammation --- kidney transplantation --- microRNA --- extracellular vesicles --- exosomes --- B-cell attracting chemokine --- CXCL13 --- kidney transplantation --- allograft rejection --- T cell-mediated rejection --- diabetic nephropathy --- lysophosphatidic acid --- lysophosphatidic acid receptor --- chronic kidney injury --- kidney proximal tubule --- acute kidney failure --- signal transduction --- transcription --- CREB Regulated Transcriptional Coactivators (CRTC) --- cAMP Regulatory Element Binding Protein (CREB) --- Salt Inducible Kinase (SIK) --- Class IIa Histone Deacetylases (HDAC) --- lncRNA --- long non-coding RNA --- miRNA --- kidney --- glomerulus --- podocyte --- acute kidney injury --- AKI --- diabetic nephropathy --- diabetic kidney disease --- diabetic nephropathy --- inflammation --- signaling cascade --- ischemia-reperfusion --- acute kidney injury --- stem cell --- conditioned medium --- inflammation --- apoptosis --- necrosis --- regulated necrosis --- kidney injury --- tubular injury --- glomerular injury --- polyunsaturated fatty acids --- omega-3 fatty acid --- inflammatory maker --- C-reactive protein --- interleukin-6 --- LPS-binding protein --- fibrosis --- pericyte --- myofibroblast --- endotoxemia-induced oliguric kidney injury --- arachidonic acid --- cyclooxygenase --- lipoxygenase --- cytochrome P450 --- kidney inflammation --- therapeutic target --- obese kidney fibrosis --- endotoxemia --- ROS --- cPLA2 and COX-2 --- IgA nephropathy --- KIT assay --- KIT-IgA score --- noninvasive --- diagnostics --- prediction --- diabetic kidney diseases --- xanthine oxidase --- glomerular damage --- acute kidney injury --- chronic kidney disease --- renal progenitors --- polyploidization --- diabetic nephropathy --- diabetes mellitus --- GLP-1 receptor agonists --- SGLT2 inhibitors --- molecular mechanisms --- chemerin --- CmklR1 --- 2-kidney-1-clip --- 2k1c --- Thy1.1 nephritis --- renovascular hypertension --- renal inflammation --- renal injury --- renal fibrosis --- inflammation --- ischemia/reperfusion injury --- Farnesiferol B --- Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF-?B) --- G-protein-coupled bile acid receptor (TGR5) --- renal stem cells --- differentiation --- scattered tubular cells --- papilla --- niches --- renal tubular cells --- epithelial cells --- proximal tubule --- cytotoxicity --- injury --- inflammation --- empagliflozin --- dapagliflozin --- kidney --- n/a

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