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https://www.readbyqxmd.com/read/28231235/near-real-time-surveillance-of-u-s-norovirus-outbreaks-by-the-norovirus-sentinel-testing-and-tracking-network-united-states-august-2009-july-2015
#1
Minesh P Shah, Mary E Wikswo, Leslie Barclay, Anita Kambhampati, Kayoko Shioda, Umesh D Parashar, Jan Vinjé, Aron J Hall
Norovirus is the leading cause of endemic and epidemic acute gastroenteritis in the United States (1). New variant strains of norovirus GII.4 emerge every 2-4 years (2-4) and are often associated with increased disease and health care visits (5-7). Since 2009, CDC has obtained epidemiologic data on norovirus outbreaks from state health departments through the National Outbreak Reporting System (NORS) (8) and laboratory data through CaliciNet (9). NORS is a web-based platform for reporting waterborne, foodborne, and enteric disease outbreaks of all etiologies, including norovirus, to CDC...
February 24, 2017: MMWR. Morbidity and Mortality Weekly Report
https://www.readbyqxmd.com/read/28230796/a-sensor-data-fusion-system-based-on-k-nearest-neighbor-pattern-classification-for-structural-health-monitoring-applications
#2
Jaime Vitola, Francesc Pozo, Diego A Tibaduiza, Maribel Anaya
Civil and military structures are susceptible and vulnerable to damage due to the environmental and operational conditions. Therefore, the implementation of technology to provide robust solutions in damage identification (by using signals acquired directly from the structure) is a requirement to reduce operational and maintenance costs. In this sense, the use of sensors permanently attached to the structures has demonstrated a great versatility and benefit since the inspection system can be automated. This automation is carried out with signal processing tasks with the aim of a pattern recognition analysis...
February 21, 2017: Sensors
https://www.readbyqxmd.com/read/28229020/an-open-source-device-for-operant-licking-in-rats
#3
Matthew Longley, Ethan L Willis, Cindy X Tay, Hao Chen
We created an easy-to-use device for operant licking experiments and another device that records environmental variables. Both devices use the Raspberry Pi computer to obtain data from multiple input devices (e.g., radio frequency identification tag readers, touch and motion sensors, environmental sensors) and activate output devices (e.g., LED lights, syringe pumps) as needed. Data gathered from these devices are stored locally on the computer but can be automatically transferred to a remote server via a wireless network...
2017: PeerJ
https://www.readbyqxmd.com/read/28228285/mass-spectrometry-profiling-of-hla-associated-peptidomes-in-mono-allelic-cells-enables-more-accurate-epitope-prediction
#4
Jennifer G Abelin, Derin B Keskin, Siranush Sarkizova, Christina R Hartigan, Wandi Zhang, John Sidney, Jonathan Stevens, William Lane, Guang Lan Zhang, Thomas M Eisenhaure, Karl R Clauser, Nir Hacohen, Michael S Rooney, Steven A Carr, Catherine J Wu
Identification of human leukocyte antigen (HLA)-bound peptides by liquid chromatography-tandem mass spectrometry (LC-MS/MS) is poised to provide a deep understanding of rules underlying antigen presentation. However, a key obstacle is the ambiguity that arises from the co-expression of multiple HLA alleles. Here, we have implemented a scalable mono-allelic strategy for profiling the HLA peptidome. By using cell lines expressing a single HLA allele, optimizing immunopurifications, and developing an application-specific spectral search algorithm, we identified thousands of peptides bound to 16 different HLA class I alleles...
February 21, 2017: Immunity
https://www.readbyqxmd.com/read/28228108/expression-profiling-and-bioinformatic-analyses-suggest-new-target-genes-and-pathways-for-human-hair-follicle-related-micrornas
#5
Lara M Hochfeld, Thomas Anhalt, Céline S Reinbold, Marisol Herrera-Rivero, Nadine Fricker, Markus M Nöthen, Stefanie Heilmann-Heimbach
BACKGROUND: Human hair follicle (HF) cycling is characterised by the tight orchestration and regulation of signalling cascades. Research shows that micro(mi)RNAs are potent regulators of these pathways. However, knowledge of the expression of miRNAs and their target genes and pathways in the human HF is limited. The objective of this study was to improve understanding of the role of miRNAs and their regulatory interactions in the human HF. METHODS: Expression levels of ten candidate miRNAs with reported functions in hair biology were assessed in HFs from 25 healthy male donors...
February 22, 2017: BMC Dermatology
https://www.readbyqxmd.com/read/28227975/an-adaptive-deep-learning-approach-for-ppg-based-identification
#6
V Jindal, J Birjandtalab, M Baran Pouyan, M Nourani, V Jindal, J Birjandtalab, M Baran Pouyan, M Nourani, V Jindal, M Baran Pouyan, J Birjandtalab, M Nourani
Wearable biosensors have become increasingly popular in healthcare due to their capabilities for low cost and long term biosignal monitoring. This paper presents a novel two-stage technique to offer biometric identification using these biosensors through Deep Belief Networks and Restricted Boltzman Machines. Our identification approach improves robustness in current monitoring procedures within clinical, e-health and fitness environments using Photoplethysmography (PPG) signals through deep learning classification models...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227516/identification-of-emotion-associated-brain-functional-network-with-phase-locking-value
#7
V Gonuguntla, R Mallipeddi, K C Veluvolu, V Gonuguntla, R Mallipeddi, K C Veluvolu, V Gonuguntla, K C Veluvolu, R Mallipeddi
Recognition of discriminative brain functional network pattern and regions corresponding to emotions are important in understanding the neuron functional network underlying the human emotion process. Emotion models mapping onto brain is possible with the help of emotion-specific network patterns and its corresponding brain regions. This paper presents a method to identify emotion related functional connectivity pattern and their distinctive associated regions using EEG phase synchrony (phase locking value (PLV)) connectivity analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#8
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227367/statistical-identification-of-stimulus-activated-network-nodes-in-multi-neuron-voltage-sensitive-dye-optical-recordings
#9
Elham Fathiazar, Jorn Anemuller, Jutta Kretzberg, Elham Fathiazar, Jorn Anemuller, Jutta Kretzberg, Elham Fathiazar, Jutta Kretzberg, Jorn Anemuller
Voltage-Sensitive Dye (VSD) imaging is an optical imaging method that allows measuring the graded voltage changes of multiple neurons simultaneously. In neuroscience, this method is used to reveal networks of neurons involved in certain tasks. However, the recorded relative dye fluorescence changes are usually low and signals are superimposed by noise and artifacts. Therefore, establishing a reliable method to identify which cells are activated by specific stimulus conditions is the first step to identify functional networks...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226853/generalized-binary-noise-stimulation-enables-time-efficient-identification-of-input-output-brain-network-dynamics
#10
Yuxiao Yang, Maryam M Shanechi, Yuxiao Yang, Maryam M Shanechi, Yuxiao Yang, Maryam M Shanechi
Identification of input-output (IO) dynamics of brain networks in response to electrical stimulation is essential for devising closed-loop therapies for neurological disorders such as major depression. A critical component for accurate IO identification is the stimulation input design. The time available for open-loop stimulation to perform system identification is typically limited. While our prior design of a binary noise (BN) modulated input pattern satisfies the requirements for optimal identification and clinical safety, it does not incorporate any prior information about the underlying network...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226700/adaptive-change-point-detection-of-dynamic-functional-connectivity-networks
#11
Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee, Sadia Shakil, Sheila D Keilholz, Chin-Hui Lee, Shella D Keilholz, Chin-Hui Lee, Sadia Shakil
This study presents a new algorithm to adaptively detect change points of functional connectivity networks in the brain. It uses scans from resting-state functional magnetic resonance imaging (rsfMRI) which is one of the major tools to investigate intrinsic brain functionality. Different regions of the resting brain form networks that change states within a few seconds to minutes. The change points of these networks are different in normal and disordered brain functions and their understanding can help in identification of brain disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226397/innate-lymphoid-cells-in-asthma-cannabinoids-on-the-balance
#12
EDITORIAL
Kayluz Frias Boligan, Stephan von Gunten
The network of cells and soluble mediators implicated in the pathogenesis of asthma and allergic disorders is complex. Deciphering details of the crosstalk between its components is essential for the identification of novel drug targets and for advances in patient management and precision medicine (1, 2). There is increasing evidence that innate lymphoid cells (ILCs) contribute to allergic responses (3). This article is protected by copyright. All rights reserved.
February 22, 2017: Allergy
https://www.readbyqxmd.com/read/28226282/systematic-identification-of-flavonols-flavonol-glycosides-triterpene-and-siraitic-acid-glycosides-from-siraitia-grosvenorii-using-high-performance-liquid-chromatography-quadrupole-time-of-flight-mass-spectrometry-combined-with-a-screening-strategy
#13
Zhi-Xing Qing, Huan Zhao, Qi Tang, Chang-Ming Mo, Peng Huang, Pi Cheng, Peng Yang, Xue-Yi Yang, Xiu-Bin Liu, Ya-Jie Zheng, Jian-Guo Zeng
The fruits of Siraitia grosvenorii are considered to be health-promoting because of the diversity of their bioactive ingredients. In the present study, a screening method, using high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (HPLC-Q-TOF-MS) combined with a screening strategy, has been established. The technology was used to systematically screening the targeted metabolites, primarily from the complex matrix of S. grosvenorii. The compounds were then identified by their exact masses and characteristic fragment ions, in comparison with the fragmentation behaviors of 19 references...
February 16, 2017: Journal of Pharmaceutical and Biomedical Analysis
https://www.readbyqxmd.com/read/28225828/systematic-analysis-of-non-structural-protein-features-for-the-prediction-of-ptm-function-potential-by-artificial-neural-networks
#14
Henry M Dewhurst, Matthew P Torres
Post-translational modifications (PTMs) provide an extensible framework for regulation of protein behavior beyond the diversity represented within the genome alone. While the rate of identification of PTMs has rapidly increased in recent years, our knowledge of PTM functionality encompasses less than 5% of this data. We previously developed SAPH-ire (Structural Analysis of PTM Hotspots) for the prioritization of eukaryotic PTMs based on function potential of discrete modified alignment positions (MAPs) in a set of 8 protein families...
2017: PloS One
https://www.readbyqxmd.com/read/28225587/compms2miner-an-automatable-metabolite-identification-visualization-and-data-sharing-r-package-for-high-resolution-lc-ms-datasets
#15
William Matthew Bell Edmands, Lauren M Petrick, Dinesh Kumar Barupal, Augustin Scalbert, Mark Wilson, Jeffrey Wickliffe, Stephen M Rappaport
A long-standing challenge of untargeted metabolomic profiling by ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) is efficient transition from unknown mass spectral features to confident metabolite annotations. The compMS2Miner (Comprehensive MS2 Miner) package was developed in the R language to facilitate rapid, comprehensive feature annotation using a peak-picker-output and MS2 data files as inputs. The number of MS2 spectra that can be collected during a metabolomic profiling experiment far outweigh the amount of time required for pain-staking manual interpretation, therefore a degree of software workflow autonomy is required for broad-scale metabolite annotation...
February 22, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28225203/identification-of-interacting-proteins-of-the-tafve-protein-involved-in-spike-development-in-bread-wheat
#16
Yong-Sheng Zheng, Yu-Qing Lu, Ying-Ying Meng, Rong-Zhi Zhang, Han Zhang, Jia-Mei Sun, Mu-Mu Wang, Li-Hui Li, Ru-Yu Li
FVE/MSI4 plays important roles in determining flowering time in Arabidopsis. However, its function is unexplored in wheat. In the present study, Co-IP and nano-LC-MS/MS were used to identify TaFVE-interacting or associated proteins. Altogether 89 differentially expressed proteins showed the same down-regulated expression trends as TaFVE in wheat line 5660M. Among them, 62 proteins were further predicted to be involved in the interaction network of TaFVE and 11 proteins have been shown to be potential TaFVE interactors based on curated databases and experimentally determined in other species by the STRING...
February 22, 2017: Proteomics
https://www.readbyqxmd.com/read/28225155/remotely-supervised-transcranial-direct-current-stimulation-increases-the-benefit-of-at-home-cognitive-training-in-multiple-sclerosis
#17
Leigh Charvet, Michael Shaw, Bryan Dobbs, Ariana Frontario, Kathleen Sherman, Marom Bikson, Abhishek Datta, Lauren Krupp, Esmail Zeinapour, Margaret Kasschau
OBJECTIVE: To explore the efficacy of remotely-supervised transcranial direct current stimulation (RS-tDCS) paired with cognitive training (CT) exercise in participants with multiple sclerosis (MS). METHODS: In a feasibility study of RS-tDCS in MS, participants completed ten sessions of tDCS paired with CT (1.5 mA × 20 min, dorsolateral prefrontal cortex montage). RS-tDCS participants were compared to a control group of adults with MS who underwent ten 20-min CT sessions through the same remotely supervised procedures...
February 22, 2017: Neuromodulation: Journal of the International Neuromodulation Society
https://www.readbyqxmd.com/read/28224978/methylated-antibody-affinity-purification-to-improve-proteomic-identification-of-plant-rna-polymerase-pol-v-complex-and-the-interacting-proteins
#18
Guochen Qin, Jun Ma, Xiaomei Chen, Zhaoqing Chu, Yi-Min She
Affinity purification followed by enzymatic digestion and mass spectrometry has been widely utilized for the sensitive detection of interacting proteins and protein complexes in various organisms. In plants, the method is technically challenging due to the low abundance proteins, non-specific binding and difficulties of eluting interacting proteins from antibody beads. In this report, we describe a strategy to modify antibodies by reductive methylation of lysines without affecting their binding properties, followed by on-bead digestion of bound proteins with endoproteinase Lys-C...
February 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28224498/differential-gene-expression-dex-and-alternative-splicing-events-ase-for-temporal-dynamic-processes-using-hmms-and-hierarchical-bayesian-modeling-approaches
#19
Sunghee Oh, Seongho Song
In gene expression profile, data analysis pipeline is categorized into four levels, major downstream tasks, i.e., (1) identification of differential expression; (2) clustering co-expression patterns; (3) classification of subtypes of samples; and (4) detection of genetic regulatory networks, are performed posterior to preprocessing procedure such as normalization techniques. To be more specific, temporal dynamic gene expression data has its inherent feature, namely, two neighboring time points (previous and current state) are highly correlated with each other, compared to static expression data which samples are assumed as independent individuals...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28224023/evaluation-of-liver-cirrhosis-and-hepatocellular-carcinoma-using-protein-protein-interaction-networks
#20
Mohammad Javad Ehsani Ardakani, Akram Safaei, Afsaneh Arefi Oskouie, Hesam Haghparast, Mehrdad Haghazali, Hamid Mohaghegh Shalmani, Hassan Peyvandi, Nosratollah Naderi, Mohammad Reza Zali
AIM: In the current study, we analysised only the articles that investigate serum proteome profile of cirrhosis patients or HCC patients versus healthy controls. BACKGROUND: Increased understanding of cancer biology has enabled identification of molecular events that lead to the discovery of numerous potential biomarkers in diseases. Protein-protein interaction networks is one of aspect that could elevate the understanding level of molecular events and protein connections that lead to the identification of genes and proteins associated with diseases...
December 2016: Gastroenterology and Hepatology From Bed to Bench
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