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https://www.readbyqxmd.com/read/28241586/effect-of-fluorescence-characteristics-and-different-algorithms-on-the-estimation-of-leaf-nitrogen-content-based-on-laser-induced-fluorescence-lidar-in-paddy-rice
#1
Jian Yang, Jia Sun, Lin Du, Biwu Chen, Zhenbing Zhang, Shuo Shi, Wei Gong
Paddy rice is one of the most significant food sources and an important part of the ecosystem. Thus, accurate monitoring of paddy rice growth is highly necessary. Leaf nitrogen content (LNC) serves as a crucial indicator of growth status of paddy rice and determines the dose of nitrogen (N) fertilizer to be used. This study aims to compare the predictive ability of the fluorescence spectra excited by different excitation wavelengths (EWs) combined with traditional multivariate analysis algorithms, such as principal component analysis (PCA), back-propagation neural network (BPNN), and support vector machine (SVM), for estimating paddy rice LNC from the leaf level with three different fluorescence characteristics as input variables...
February 20, 2017: Optics Express
https://www.readbyqxmd.com/read/28241479/unmanned-aerial-vehicle-systems-for-remote-estimation-of-flooded-areas-based-on-complex-image-processing
#2
Dan Popescu, Loretta Ichim, Florin Stoican
Floods are natural disasters which cause the most economic damage at the global level. Therefore, flood monitoring and damage estimation are very important for the population, authorities and insurance companies. The paper proposes an original solution, based on a hybrid network and complex image processing, to this problem. As first novelty, a multilevel system, with two components, terrestrial and aerial, was proposed and designed by the authors as support for image acquisition from a delimited region. The terrestrial component contains a Ground Control Station, as a coordinator at distance, which communicates via the internet with more Ground Data Terminals, as a fixed nodes network for data acquisition and communication...
February 23, 2017: Sensors
https://www.readbyqxmd.com/read/28241451/a-new-deep-learning-model-for-fault-diagnosis-with-good-anti-noise-and-domain-adaptation-ability-on-raw-vibration-signals
#3
Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen, Zhujun Zhang
Intelligent fault diagnosis techniques have replaced time-consuming and unreliable human analysis, increasing the efficiency of fault diagnosis. Deep learning models can improve the accuracy of intelligent fault diagnosis with the help of their multilayer nonlinear mapping ability. This paper proposes a novel method named Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN). The proposed method uses raw vibration signals as input (data augmentation is used to generate more inputs), and uses the wide kernels in the first convolutional layer for extracting features and suppressing high frequency noise...
February 22, 2017: Sensors
https://www.readbyqxmd.com/read/28241245/the-burden-of-early-phenotypes-and-the-influence-of-wall-thickness-in-hypertrophic-cardiomyopathy-mutation-carriers-findings-from-the-hcmnet-study
#4
Carolyn Y Ho, Sharlene M Day, Steven D Colan, Mark W Russell, Jeffrey A Towbin, Mark V Sherrid, Charles E Canter, John L Jefferies, Anne M Murphy, Allison L Cirino, Theodore P Abraham, Matthew Taylor, Luisa Mestroni, David A Bluemke, Petr Jarolim, Ling Shi, Lynn A Sleeper, Christine E Seidman, E John Orav
Importance: Sarcomere mutations and left ventricular (LV) hypertrophy (LVH) are cardinal features of hypertrophic cardiomyopathy (HCM). However, little is known about the full spectrum of phenotypic manifestations or how LVH influences disease expression. Objectives: (1) To characterize and assess phenotypic burden in sarcomere mutation carriers (genotype positive [G+]) and (2) to investigate the correlation between LV wall thickness (LVWT) and other disease features in mutation carriers...
February 22, 2017: JAMA Cardiology
https://www.readbyqxmd.com/read/28241168/association-of-depression-and-treated-depression-with-epilepsy-and-seizure-outcomes-a-multicohort-analysis
#5
Colin B Josephson, Mark Lowerison, Isabelle Vallerand, Tolulope T Sajobi, Scott Patten, Nathalie Jette, Samuel Wiebe
Importance: A bidirectional relationship exists between epilepsy and depression. However, any putative biological gradient between depression severity and the risk of epilepsy, and the degree to which depression mediates the influence of independent risk factors for epilepsy, has yet to be examined. Objective: To determine the effect of depression on the risk of epilepsy and seizure outcomes. Design, Setting, and Participants: An observational study of a population-based primary care cohort (all patients free of prevalent depression and epilepsy at 18-90 years of age who were active after the Acceptable Mortality Reporting date in The Health Improvement Network database) and a prospectively collected tertiary care cohort (all patients whose data were prospectively collected from the Calgary Comprehensive Epilepsy Programme)...
February 27, 2017: JAMA Neurology
https://www.readbyqxmd.com/read/28241092/adherence-to-national-comprehensive-cancer-network-guidelines-for-time-to-initiation-of-postoperative-radiation-therapy-for-patients-with-head-and-neck-cancer
#6
Evan M Graboyes, Elizabeth Garrett-Mayer, Anand K Sharma, Eric J Lentsch, Terry A Day
BACKGROUND: Adherence to evidence-based treatment guidelines has been proposed as a measure of cancer care quality. The objective of this study was to determine the rate and predictors of care that does not adhere to National Comprehensive Cancer Network guidelines regarding commencing postoperative radiation therapy (PORT) within 6 weeks of surgery for patients with head and neck squamous cell carcinoma (HNSCC). METHODS: The National Cancer Data Base was reviewed from 2006 to 2014, and patients with HNSCC who underwent curative-intent surgery followed by PORT were identified...
February 27, 2017: Cancer
https://www.readbyqxmd.com/read/28241081/pnlrr-rlk27-a-novel-leucine-rich-repeats-receptor-like-protein-kinase-from-the-antarctic-moss-pohlia-nutans-positively-regulates-salinity-and-oxidation-stress-tolerance
#7
Jing Wang, Shenghao Liu, Chengcheng Li, Tailin Wang, Pengying Zhang, Kaoshan Chen
Leucine-rich repeats receptor-like kinases (LRR-RLKs) play important roles in plant growth and development as well as stress responses. Here, 56 LRR-RLK genes were identified in the Antarctic moss Pohlia nutans transcriptome, which were further classified into 11 subgroups based on their extracellular domain. Of them, PnLRR-RLK27 belongs to the LRR II subgroup and its expression was significantly induced by abiotic stresses. Subcellular localization analysis showed that PnLRR-RLK27 was a plasma membrane protein...
2017: PloS One
https://www.readbyqxmd.com/read/28240968/systematic-literature-review-and-network-meta-analysis-of-treatment-outcomes-in-relapsed-and-or-refractory-multiple-myeloma
#8
Chrissy H Y van Beurden-Tan, Margreet G Franken, Hedwig M Blommestein, Carin A Uyl-de Groot, Pieter Sonneveld
Purpose Since 2000, many new treatment options have become available for relapsed and/or refractory multiple myeloma (R/R MM) after a long period in which dexamethasone and melphalan had been the standard treatment. Direct comparisons of these novel treatments, however, are lacking. This makes it extremely difficult to evaluate the relative added value of each new treatment. Our aim was to synthesize all efficacy evidence, enabling a comparison of all current treatments for R/R MM. Methods We performed a systematic literature review to identify all publicly available phase III randomized controlled trial evidence...
February 27, 2017: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28240936/the-semantic-distance-task-quantifying-semantic-distance-with-semantic-network-path-length
#9
Yoed N Kenett, Effi Levi, David Anaki, Miriam Faust
Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We propose a novel approach to computing semantic distance, based on network science methodology. Path length in a semantic network represents the amount of steps needed to traverse from 1 word in the network to the other...
February 27, 2017: Journal of Experimental Psychology. Learning, Memory, and Cognition
https://www.readbyqxmd.com/read/28240809/enzyme-based-logic-gates-and-networks-with-output-signals-analyzed-by-various-methods
#10
Evgeny Katz
The paper overviews various methods for analysis of output signals generated by enzyme-based logic systems. The considered methods include different optical techniques (optical absorbance, fluorescence spectroscopy, surface plasmon resonance), electrochemical techniques (cyclic voltammetry, potentiometry, impedance spectroscopy, conductivity measurements, use of field effect transistor devices, pH measurements), and various mechano-electronic methods (using atomic force microscope, quartz crystal microbalance)...
February 27, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28240536/stratification-of-extracellular-polymeric-substances-eps-for-aggregated-anammox-microorganisms
#11
Fangxu Jia, Qing Yang, Xiuhong Liu, Xiyao Li, Baikun Li, Liang Zhang, Yongzhen Peng
Sludge aggregation and biofilm formation are the most effective approaches to solve the washout of anammox microorganisms. In this study, the structure and composition of EPS (extracellular polymeric substances) were investigated to elucidate the factors for the anammox aggregation property. Anammox sludge taken from 18 lab-scale and pilot-scale reactors treating different types of wastewater was analyzed using EEM-PARAFAC (excitation-emission matrix and parallel factor analysis), FTIR (fourier transform infrared spectroscopy) and real-time PCR combined with multivariate statistical analysis...
February 27, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28240446/sodium-glucose-cotransporter-2-inhibitors-and-risk-of-adverse-renal-outcomes-among-type-2-diabetes-patients-a-network-and-cumulative-meta-analysis-of-randomized-controlled-trials
#12
Huilin Tang, Dandan Li, Jingjing Zhang, Yufeng Li, Tiansheng Wang, Suodi Zhai, Yiqing Song
AIM: The renal safety of sodium-glucose cotransporter 2 (SGLT2) inhibitors in patients with type 2 diabetes mellitus (T2DM) remains uncertain. This meta-analysis aimed to compare the effects of each SGLT2 inhibitor on adverse renal outcomes in patients with T2DM. METHODS: PubMed, EMBASE, CENTRAL, and ClinicalTrials.gov were searched up to May 24 2016 without language or date restrictions. Randomized trials that reporting at least one renal-related adverse outcome in T2DM patients treated with SGLT2 inhibitors were included...
February 27, 2017: Diabetes, Obesity & Metabolism
https://www.readbyqxmd.com/read/28240314/autaptic-regulation-of-electrical-activities-in-neuron-under-electromagnetic-induction
#13
Ying Xu, Heping Ying, Ya Jia, Jun Ma, Tasawar Hayat
Realistic neurons may hold complex anatomical structure, for example, autapse connection to some internuncial neurons, which this specific synapse can connect to its body via a close loop. Continuous exchanges of charged ions across the membrane can induce complex distribution fluctuation of intracellular and extracellular charged ions of cell, and a time-varying electromagnetic field is set to modulate the membrane potential of neuron. In this paper, an autapse-modulated neuron model is presented and the effect of electromagnetic induction is considered by using magnetic flux...
February 27, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28240238/a-fast-and-efficient-algorithm-for-mining-top-k-nodes-in-complex-networks
#14
Dong Liu, Yun Jing, Jing Zhao, Wenjun Wang, Guojie Song
One of the key problems in social network analysis is influence maximization, which has great significance both in theory and practical applications. Given a complex network and a positive integer k, and asks the k nodes to trigger the largest expected number of the remaining nodes. Many mature algorithms are mainly divided into propagation-based algorithms and topology- based algorithms. The propagation-based algorithms are based on optimization of influence spread process, so the influence spread of them significantly outperforms the topology-based algorithms...
February 27, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28240237/corrigendum-residue-geometry-networks-a-rigidity-based-approach-to-the-amino-acid-network-and-evolutionary-rate-analysis
#15
Alexander S Fokas, Daniel J Cole, Sebastian E Ahnert, Alex W Chin
No abstract text is available yet for this article.
February 27, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28239637/alzheimer-s-disease-the-influence-of-age-on-clinical-heterogeneity-through-the-human-brain-connectome
#16
Bradford C Dickerson, Michael Brickhouse, Scott McGinnis, David A Wolk
INTRODUCTION: One major factor that influences the heterogeneity of Alzheimer's disease (AD) is age: younger AD patients more frequently exhibit atypical forms of AD. We propose that this age-related heterogeneity can be understood better by considering age-related differences in atrophy in the context of large-scale brain networks subserving cognitive functions that contribute to memory. METHODS: We examined data from 75 patients with mild AD dementia from Alzheimer's Disease Neuroimaging Initiative...
2017: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
https://www.readbyqxmd.com/read/28239524/pattern-of-gray-matter-volumes-related-to-retinal-thickness-and-its-association-with-cognitive-function-in-relapsing-remitting-ms
#17
Jan-Patrick Stellmann, Hanife Cetin, Kim Lea Young, Sibylle Hodecker, Jana Pöttgen, Diana Bittersohl, Andrea Hassenstein, Timm Oberwahrenbrock, Christoph Heesen, Susanne Siemonsen
BACKGROUND: Neurodegeneration in multiple sclerosis (MS) may be investigated in the visual system as optical coherence tomography (OCT) and magnetic resonance imaging (MRI) allows examining structural integrity in detail. The association between thickness of retinal layers and focal cortical volumes beyond the primary visual system has not been thoroughly investigated. OBJECTIVE: To investigate the association between focal cortical volume and thickness of retinal layers...
February 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28239339/microarray-and-qpcr-analyses-of-wallerian-degeneration-in-rat-sciatic-nerves
#18
Sheng Yi, Xin Tang, Jun Yu, Jie Liu, Fei Ding, Xiaosong Gu
Wallerian degeneration occurs immediately following injury to mammal peripheral nerves. To better understand the molecular events occurring during Wallerian degeneration, a rat model of sciatic nerve transection was used to assess differentially expressed genes at 0.5, 1, 6, 12, 24 h, 4 days, 1, 2, 3, and 4 weeks post nerve injury (PNI). Hierarchical clustering, Euclidean distance matrix, and principal component analysis (PCA) collectively suggested three distinct phases within the post-injury period of 4 weeks...
2017: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/28239337/local-and-distant-dysregulation-of-synchronization-around-interictal-spikes-in-bects
#19
Emilie Bourel-Ponchel, Mahdi Mahmoudzadeh, Patrick Berquin, Fabrice Wallois
Objective: High Density electroencephalography (HD EEG) is the reference non-invasive technique to investigate the dynamics of neuronal networks in Benign Epilepsy with Centro-Temporal Spikes (BECTS). Analysis of local dynamic changes surrounding Interictal Epileptic Spikes (IES) might improve our knowledge of the mechanisms that propel neurons to the hypersynchronization of IES in BECTS. Transient distant changes in the dynamics of neurons populations may also interact with neuronal networks involved in various functions that are impaired in BECTS patients...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28239238/cytokine-imbalance-as-a-common-mechanism-in-both-psoriasis-and-rheumatoid-arthritis
#20
Yong Tan, Qiu Qi, Cheng Lu, Xuyan Niu, Yanping Bai, Chunyan Jiang, Yang Wang, Youwen Zhou, Aiping Lu, Cheng Xiao
Psoriasis (PS) and rheumatoid arthritis (RA) are immune-mediated inflammatory diseases. Previous studies showed that these two diseases had a common pathogenesis, but the precise molecular mechanism remains unclear. In this study, RNA sequencing of peripheral blood mononuclear cells was employed to explore both the differentially expressed genes (DEGs) of 10 PS and 10 RA patients compared with those of 10 healthy volunteers and the shared DEGs between these two diseases. Bioinformatics network analysis was used to reveal the connections among the shared DEGs and the corresponding molecular mechanism...
2017: Mediators of Inflammation
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