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Cardiovascular disease is the main cause of death in the West, and vascular disease is the most common cardiovascular clinical problem. The disease results in serious morbidity and mortality, and carries economic cost implications. While conventional risk factors are well established, and their biomarkers regularly monitored, patients may continue to suffer subclinical active disease, even in the absence of risk factors, until they present with sudden cardiac death or stroke. Early disease detection using direct imaging has shown to be more accurate in identifying vulnerable patients and unstable plaques than conventional risk factors. This IJMS issue deals with the current opinion concerning the state-of-the-art imaging technologies available for clinical applications and their unique value over the sole use of conventional risk factor analysis, in identifying vulnerable patients, recommending aggressive treatments, prognosticating, and in assessing related nutritional and environmental issues.

intima media thickness (imt) accuracy in identifying high risk individuals --- IMT vs conventional risk factors in improving risk stratification --- carotid plaque characterization --- coronary calcification for daily risk assessment --- coronary calcification: a risk or benefit? --- nutritional influences on cardiovascular calcification --- environmental influences on cardiovascular calcification --- MRA for plaque characterization --- PET/CT use in assessing lipid cores and their clinical relevance --- vascular imaging for direct treatment delivery --- vascular calcification challenges in intervention

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In the last two decades, due to the continuous increase of lifespans in Westernsocieties, and the consequent growing of the elderly population, have witnessedan increase in the number of studies on biological and molecular factors able topromote healthy aging and reach longevity. The study of the genetic componentof human longevity demonstrated that it accounts for 25% of intra populationphenotype variance. The efforts made to characterize the genetic determinantssuggested that the maintenance of cellular integrity, inflammation, oxidativestress response, DNA repair, as well as the use of nutrients, represent the mostimportant pathways correlated with a longer lifespan. However, although aplethora of variants were indicated to be associated with human longevity, onlyvery few were successfully replicated in different populations, probably becauseof population specificity, missing heritability as well as a complex interactionamong genetic factors with lifestyle and cultural factors, which modulate theindividual chance of living longer. Thus, many challenges remain to be addressedin the search for the genetic components of human longevity. This Special Issue isaimed to unify the progress in the analysis of the genetic determinants of humanlongevity, to take stock of the situation and point to future directions of the field.We invite submissions for reviews, research articles, short-communicationsdealing with genetic association studies in human longevity, including all types ofgenetic variation, as well as the characterization of longevity-related genes.

human lifespan --- genetic variation --- TERC --- TERT --- leukocyte telomere length --- aging --- longevity --- survival --- SNP --- polymorphism --- IPMK --- inositol phosphates --- gender-specific association --- moonlighting protein --- lifespan --- mortality --- twins --- zygosity --- unknown zygosity --- cumulative incidence curves --- age-stratification --- long-livers --- apolipoprotein E --- APOE --- longevity --- populations --- genomics --- polygenic risk score --- cardiovascular health --- exceptional longevity --- lipid profile --- aging --- longevity --- survival --- SNP --- polymorphism --- xenobiotic-metabolizing enzymes --- xenobiotics --- model systems --- aging --- signal transduction --- molecular senescence --- genetic determinants of human longevity --- genetic variation --- genetic association study --- longevity-related genes --- human lifespan

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The 15th Estuarine and Coastal Modeling Conference provides a venue for commercial, academic, and government scientists and engineers from around the world to present and discuss the latest results and techniques in applied estuarine and coastal modeling. Prospective authors are invited to submit papers on a wide range of topic areas, including:• Pollutant Transport and Water Quality Prediction• Coastal Response to Climate Change• Modeling Techniques and Sensitivity Studies• Model Assessment• Modeling Specific Estuarine and Coastal Systems• Visualization and Analysis• Wave and Sediment Transport Modeling• Modeling of Chemicals and Floatables• Oil Spill Transport and Fate Modeling• Inverse Methods• Circulation Modeling• Facility Siting and CSO Studies• Data Assimilation• Nowcast/Forecast Modeling Systems• Modeling Systems with Strong Buoyancy Forcing• Modeling of Coupled Systems• Risk Analysis (Nuclear Reactors, Flood Forecasting)

British Columbia --- environmental assessment --- marine construction --- circulation --- numerical model --- sediment model --- tidal current --- wind-driven current --- stratification --- initial dilution zone --- property-carrying particle model --- coupled models --- ecosystem simulation --- biophysical modeling --- Sandusky Bay --- Great Lakes --- tides --- tidal datums --- VDatum --- spatially varying uncertainty (SVU) --- north-east Gulf of Mexico --- Brown Passage --- Chatham Sound --- internal tides --- circulation --- numerical model --- stratification --- barotropic --- baroclinic --- Hood Canal --- floating bridge --- Salish Sea --- hydrodynamics --- Finite-Volume Community Ocean Model (FVCOM) --- circulation --- anthropogenic impact --- zone of influence --- Salish Sea model --- ice modeling --- operational forecast --- FVCOM --- CICE --- hydrodynamic modeling --- Great Lakes --- hydrodynamic numerical model --- H3D --- agriculture --- salt wedge --- climate change --- sea level rise --- river discharge --- channel deepening --- tidal constituent database --- ADvanced CIRCulation model (ADCIRC) --- Eastern North Pacific Ocean (ENPAC) --- coastal ocean modeling --- Gulf of Mexico --- operational nowcast and forecast system --- Finite Volume Community Ocean Model --- water level --- temperature --- salinity --- water quality --- model calibration --- estuary --- eutrophication --- CE-QUAL-W2 --- phytoplankton --- algal growth kinetics --- wave energy --- wind forcing --- large-wave hindcast --- multi-level nested-grid modeling --- CFSR --- NARR --- WaveWatch III --- SWAN --- hydrodynamics --- feasibility assessments --- nearshore restoration --- FVCOM --- Puget Sound --- Salish Sea --- numerical model --- sediment transport --- marine --- short-lived radioisotopes --- wave hindcast --- breakwater --- harbor --- estuary --- SWAN --- MIKE21SW --- unstructured grid --- storm surge --- coastal storm --- flooding --- compound events --- estuarine modeling --- lateral circulation --- tidal currents --- momentum balance --- coastal and estuarine modeling --- ADCIRC --- water level time series --- VDatum --- tidal datums --- statistical interpolation --- spatially varying uncertainty --- non-tidal zones --- marine grid population --- Texas --- western Louisiana --- Gulf of Mexico --- ocean modeling --- cloud computing --- data analysis --- geospatial data visualization

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This book illustrates some of the most recent research efforts that have been made in lowering plasma cholesterol levels in patients with CVD. Selected articles aimed to illuminate advances and urgent challenges in the management of CVD, including disease management using statin-combined therapeutic strategies.

anacetrapib --- cholesteryl ester transfer protein --- cardiovascular disease --- apolipoprotein --- diabetes --- vaspin --- acute coronary syndrome --- NSTEMI --- STEMI --- lipoproteins --- atherosclerosis --- cardiovascular risk --- statin --- PCSK9 --- genetic --- nutrigenetics --- sterol --- cholesterol --- low-density lipoprotein cholesterol --- cardiovascular disease --- ABCA1 --- HDL --- miRNA --- circular RNA --- gene expression --- RNA-binding proteins --- reverse cholesterol transport --- cardiovascular diseases --- dyslipidemia --- type 2 diabetes --- PCSK9 --- nonstatin --- PCSK9 --- proprotein convertase subtilisin/kexin type 9 --- LDL subfractions --- sdLDL --- cardiovascular disease --- risk stratification --- proprotein convertase subtilisin-kexin type 9 (PCSK9) --- small interfering RNA (siRNA) --- inclisiran --- low-density lipoprotein-cholesterol (LDL-C) --- cardiovascular disease (CVD) --- cardiovascular risk --- atherosclerosis --- ceramides --- lipids --- lipoproteins --- miRNA --- sphingolipids --- sphingomyelin --- NAFLD --- NASH --- hepatic fibrosis --- hyperlipidemia --- statins --- statins --- coronary artery bypass grafting --- pleiotropic actions --- atrial fibrillation --- stroke --- acute kidney injury

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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.

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