371,493 results match your criteria Network: Computation in Neural Systems [Journal]


Multicellular systems biology: quantifying cellular patterning and function in plant organs using network science.

Authors:
George W Bassel

Mol Plant 2019 Feb 19. Epub 2019 Feb 19.

School of Biosciences, University of Birmingham, Birmingham B15 2TT, UK. Electronic address:

Organ function is at least partially shaped and constrained by the organization of their constituent cells. Extensive investigation has revealed mechanisms explaining how these patterns are generated, with less being known about their functional relevance. In this paper, a methodology to discretize and quantitatively analyze cellular patterning is described. Read More

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http://dx.doi.org/10.1016/j.molp.2019.02.004DOI Listing
February 2019

Age differences in specific neural connections within the Default Mode Network underlie theory of mind.

Neuroimage 2019 Feb 19. Epub 2019 Feb 19.

Indiana University, Bloomington, USA.

Theory of mind (i.e., the ability to infer others' mental states) - a fundamental social cognitive ability - declines with increasing age. Read More

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http://dx.doi.org/10.1016/j.neuroimage.2019.02.024DOI Listing
February 2019

Contributions of non-primary cortical sources to auditory temporal processing.

Neuroimage 2019 Feb 19. Epub 2019 Feb 19.

Research Group Experimental ORL, Department of Neurosciences, KU Leuven - University of Leuven, Belgium.

Temporal processing is essential for speech perception and directional hearing. However, the number and locations of cortical sources involved in auditory temporal processing are still a matter of debate. Using source reconstruction of human EEG responses, we show that, in addition to primary sources in the auditory cortices, sources outside the auditory cortex, designated as non-primary sources, are involved in auditory temporal processing. Read More

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http://dx.doi.org/10.1016/j.neuroimage.2019.02.037DOI Listing
February 2019

Slow dynamics in microcolumnar gap junction network of developing neocortical pyramidal neurons.

Neuroscience 2019 Feb 19. Epub 2019 Feb 19.

RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan. Electronic address:

Gap junctions mediate electrical coupling between neurons and modulate their firing activity. In mouse neocortical layer 5, the major types of pyramidal neurons organize into cell type-specific microcolumns that exhibit modular neuronal activity. During cortical development, microcolumn neurons are electrically coupled in a cell type-specific manner at the stage of synaptogenesis, forming a dense network of gap junctions. Read More

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http://dx.doi.org/10.1016/j.neuroscience.2019.02.013DOI Listing
February 2019

Prioritizing Workforce Development Training in State Health Departments Using TRAIN: Challenges and Opportunities.

Public Health Rep 2019 Feb 22:33354919826564. Epub 2019 Feb 22.

5 Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Objective:: The objectives of this study were (1) to obtain data on the current status of public health workforce training and the use of the Training Finder Real-Time Affiliate Network (TRAIN), a public health learning management platform, in state health departments, and (2) to use the data to identify organizational features that might be affecting training and to determine barriers to and opportunities for improving training.

Methods:: We conducted structured interviews in 2014 with TRAIN administrators and performance improvement managers (n = 14) from 7 state health departments that were using TRAIN to determine training practices and barriers to training. We determined key organizational features of the 7 agencies, including training structure, required training, TRAIN administrators' employment status (full time or part time), barriers to the use and tracking of core competencies in TRAIN, training needs assessment methods, leadership support of training and staff development, and agency interest in applying for Public Health Accreditation Board accreditation. Read More

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http://dx.doi.org/10.1177/0033354919826564DOI Listing
February 2019

Performance of the BD-FACS Presto for CD4 count and hemoglobin measurement in a district hospital and rural laboratory in Ghana.

PLoS One 2019 22;14(2):e0212684. Epub 2019 Feb 22.

Earth Institute, Columbia University, New York, New York, United States of America.

Introduction: In Ghana, initiation of Antiretroviral Therapy (ART) is recommended for all patients with an HIV diagnosis, regardless of CD4+ T-cell count. However, measurement of CD4 count remains an important metric for identifying patients with advanced HIV disease, and assessing a person's overall immune status, which informs the decision to offer opportunistic infection screening and prophylaxis. Access to CD4+ T cell count in rural health facilities remains a major challenge in Ghana and other resource-limited settings. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212684PLOS
February 2019

Comparison of linear model and artificial neural network using antler beam diameter and length of white-tailed deer (Odocoileus virginianus) dataset.

PLoS One 2019 22;14(2):e0212545. Epub 2019 Feb 22.

Department of Animal Science, Faculty of Agriculture, Aydin Adnan Menderes University, Aydin, Turkey.

Evaluation of harvest data remains one of the most important sources of information in the development of strategies to manage regional populations of white-tailed deer. While descriptive statistics and simple linear models are utilized extensively, the use of artificial neural networks for this type of data analyses is unexplored. Linear model was compared to Artificial Neural Networks (ANN) models with Levenberg-Marquardt (L-M), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) learning algorithms, to evaluate the relative accuracy in predicting antler beam diameter and length using age and dressed body weight in white-tailed deer. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212545PLOS
February 2019

A text-mining approach to obtain detailed treatment information from free-text fields in population-based cancer registries: A study of non-small cell lung cancer in California.

PLoS One 2019 22;14(2):e0212454. Epub 2019 Feb 22.

California Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis Health, Sacramento, California, United States of America.

Background: Population-based cancer registries have treatment information for all patients making them an excellent resource for population-level monitoring. However, specific treatment details, such as drug names, are contained in a free-text format that is difficult to process and summarize. We assessed the accuracy and efficiency of a text-mining algorithm to identify systemic treatments for lung cancer from free-text fields in the California Cancer Registry. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212454PLOS
February 2019

Dynamic Advisor-Based Ensemble (dynABE): Case study in stock trend prediction of critical metal companies.

Authors:
Zhengyang Dong

PLoS One 2019 22;14(2):e0212487. Epub 2019 Feb 22.

Middlesex School, Concord, Massachusetts, United States of America.

Stock trend prediction is a challenging task due to the market's noise, and machine learning techniques have recently been successful in coping with this challenge. In this research, we create a novel framework for stock prediction, Dynamic Advisor-Based Ensemble (dynABE). dynABE explores domain-specific areas based on the companies of interest, diversifies the feature set by creating different "advisors" that each handles a different area, follows an effective model ensemble procedure for each advisor, and combines the advisors together in a second-level ensemble through an online update strategy we developed. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212487PLOS
February 2019

Excitable dynamics through toxin-induced mRNA cleavage in bacteria.

PLoS One 2019 22;14(2):e0212288. Epub 2019 Feb 22.

Applied Physics Research Group, Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Toxin-antitoxin (TA) systems in bacteria and archaea are small genetic elements consisting of the genes coding for an intracellular toxin and an antitoxin that can neutralize this toxin. In various cases, the toxins cleave the mRNA. In this theoretical work we use deterministic and stochastic modeling to explain how toxin-induced cleavage of mRNA in TA systems can lead to excitability, allowing large transient spikes in toxin levels to be triggered. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212288PLOS
February 2019

Implementing artificial neural networks through bionic construction.

PLoS One 2019 22;14(2):e0212368. Epub 2019 Feb 22.

Institute of Microelectronics, Tsinghua University, Beijing, China.

It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning. However, traditionally, artificial neural network, especially the Deep learning Neural Networks (DNNs) are implemented only through exhaustive training and learning. Fixed structure is built, and then parameters are trained through huge amount of data. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212368PLOS
February 2019

Secreted frizzled related protein is a target of PaxB and plays a role in aquiferous system development in the freshwater sponge, Ephydatia muelleri.

PLoS One 2019 22;14(2):e0212005. Epub 2019 Feb 22.

Department of Biology, University of Richmond, Richmond, Virginia, United States of America.

Canonical and non-canonical Wnt signaling, as well as the Pax/Six gene network, are involved in patterning the freshwater sponge aquiferous system. Using computational approaches to identify transcription factor binding motifs in a freshwater sponge genome, we located putative PaxB binding sites near a Secreted Frizzled Related Protein (SFRP) gene in Ephydatia muelleri. EmSFRP is expressed throughout development, but with highest levels in juvenile sponges. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212005PLOS
February 2019

BioNetApp: An interactive visual data analysis platform for molecular expressions.

PLoS One 2019 22;14(2):e0211277. Epub 2019 Feb 22.

Department of Chemistry, University of Louisville, Louisville, KY, United States of America.

Motivation: Systems biology faces two key challenges when dealing with large amounts of disparate data produced by different experiments: the integration of results across different experiments, and the extraction of meaningful information from the data produced by these experiments. An ongoing challenge is to provide better tools that can mine data patterns that could not have been discovered through simple visualization. Such mining capabilities also need to be coupled with intuitive visualization to portray those findings. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211277PLOS
February 2019

Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment.

IEEE Trans Cybern 2019 Feb 21. Epub 2019 Feb 21.

Visual cognition of the indoor environment can benefit from the spatial layout estimation, which is to represent an indoor scene with a 2-D box on a monocular image. In this paper, we propose to fully exploit the edge and semantic information of a room image for layout estimation. More specifically, we present an encoder-decoder network with shared encoder and two separate decoders, which are composed of multiple deconvolution (transposed convolution) layers, to jointly learn the edge maps and semantic labels of a room image. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895837DOI Listing
February 2019

Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation.

IEEE Trans Pattern Anal Mach Intell 2019 Feb 20. Epub 2019 Feb 20.

Salient object detection is undergoing a remarkable development along with the wide usage of deep neural networks. Being trained with a large number of images annotated with strong pixel-level ground-truth masks, deep salient object detectors have achieved state-of-the-art performance. However, it is expensive and time-consuming to provide pixel-level ground-truth masks for each training image. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2900649DOI Listing
February 2019

Reflected hemodynamic waves influence the pattern of Doppler ultrasound waveforms along the umbilical arteries.

Am J Physiol Heart Circ Physiol 2019 Feb 22. Epub 2019 Feb 22.

Hospital for Sick Children / University of TOronto, Canada.

The pulsatile pattern of blood motion measured by Doppler ultrasound within the umbilical artery is known to contain useful diagnostic information and is widely used to monitor pregnancies at risk of fetal growth restriction or stillbirth. Animal studies have identified reflected pressure waves travelling counter to the direction of blood flow as an important factor in the shape of these waveforms. In the present study, we establish a method to measure reflected waves in the human umbilical artery and assess their influence on blood velocity pulsation. Read More

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http://dx.doi.org/10.1152/ajpheart.00704.2018DOI Listing
February 2019

New Design Paradigm for Color Control in Anodically Coloring Electrochromic Molecules.

J Am Chem Soc 2019 Feb 22. Epub 2019 Feb 22.

School of Chemistry and Biochemistry, School of Materials Science and Engineering, Center for Organic Photonics and Electronics, Georgia Tech Polymer Network , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.

A new paradigm is established for the design of conjugated anodically coloring electrochromic molecules. It is shown that through crossconjugation the electronic energy levels of the radical cation state may be controllably tuned independent of the neutral state. It is shown how cross-conjugation can be used to tune the radical cation state independent of the neutral state. Read More

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http://dx.doi.org/10.1021/jacs.9b01507DOI Listing
February 2019

Protein Adsorption and Coordination-Based End-Tethering of Functional Polymers on Metal-Phenolic Network Films.

Biomacromolecules 2019 Feb 22. Epub 2019 Feb 22.

ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, and the Department of Chemical Engineering , The University of Melbourne , Parkville , Victoria 3010 , Australia.

Metal-phenolic network (MPN) coatings have generated increasing interest owing to their biologically inspired nature, facile fabrication, and near-universal adherence, especially for biomedical applications. However, a key issue in biomedicine is protein fouling, and the adsorption of proteins on tannic acid-based MPNs remains to be comprehensively studied. Herein, we investigate the interaction of specific biomedically relevant proteins in solution (e. Read More

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http://dx.doi.org/10.1021/acs.biomac.9b00006DOI Listing
February 2019

Astroglial Cx30 sustains neuronal population bursts independently of gap-junction mediated biochemical coupling.

Glia 2019 Feb 22. Epub 2019 Feb 22.

Neuroglial Interactions in Cerebral Physiopathology, Center for Interdisciplinary Research in Biology, Collège de France, Centre National de la Recherche Scientifique UMR 7241, Institut National de la Santé et de la Recherche Médicale U1050, Labex Memolife, PSL Research University, Paris, France.

Astroglial networks mediated by gap junction channels contribute to neurotransmission and promote neuronal coordination. Connexin 30, one of the two main astroglial gap junction forming protein, alters at the behavioral level the reactivity of mice to novel environment and at the synaptic level excitatory transmission. However, the role and function of Cx30 at the neuronal network level remain unclear. Read More

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http://dx.doi.org/10.1002/glia.23591DOI Listing
February 2019

The neural tides of sleep and consciousness revealed by single-pulse electrical brain stimulation.

Sleep 2019 Feb 22. Epub 2019 Feb 22.

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Wakefulness and sleep arise from global changes in brain physiology that may also govern the flow of neural activity between cortical regions responsible for perceptual processing vs planning and action. To test whether and how the sleep/wake cycle affects the overall propagation of neural activity in large-scale brain networks, we applied single-pulse electrical stimulation (SPES) in patients implanted with intracranial EEG electrodes for epilepsy surgery. SPES elicited cortico-cortical spectral responses at high-gamma frequencies (CCSRHG, 80-150 Hz), which indexes changes in neuronal population firing rates. Read More

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http://dx.doi.org/10.1093/sleep/zsz050DOI Listing
February 2019

JAMA Network Open-The Year in Review, 2018.

JAMA Netw Open 2019 Feb 1;2(2):e190326. Epub 2019 Feb 1.

Department of Medicine, University of Washington, Seattle, Washington.

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http://dx.doi.org/10.1001/jamanetworkopen.2019.0326DOI Listing
February 2019

Identification of workers with past asbestos exposure in Tuscany eligible to health surveillance programme.

Med Lav 2019 Feb 22;110(1):46-55. Epub 2019 Feb 22.

Istituto per lo Studio e la Prevenzione Oncologica (ISPO), Firenze.

Background: In 2016 the Administration of the Tuscany Region, Italy, established a health surveillance programme for workers with past asbestos exposure. The programme includes two levels of activities, a local basic health evaluation, and a centralized in-depth evaluation of specific cases.

Objectives: To estimate the number and identify the workers with past exposure to asbestos in Tuscan industrial settings entitled to participate in the health surveillance programme. Read More

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http://dx.doi.org/10.23749/mdl.v110i1.7739DOI Listing
February 2019

Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

Irreversible visual impairment is often caused by primary angle-closure glaucoma, which could be detected via anterior segment optical coherence tomography (AS-OCT). In this paper, an automated system based on deep learning is presented for angle-closure detection in AS-OCT images. Our system learns a discriminative representation from training data that captures subtle visual cues not modeled by handcrafted features. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2897162DOI Listing
February 2019

Distributed Secure Cooperative Control Under Denial-of-Service Attacks From Multiple Adversaries.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

This paper develops a fully distributed framework to investigate the cooperative behavior of multiagent systems in the presence of distributed denial-of-service (DoS) attacks launched by multiple adversaries. In such an insecure network environment, two kinds of communication schemes, that is, sample-data and event-triggered communication schemes, are discussed. Then, a fully distributed control protocol with strong robustness and high scalability is well designed. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2896160DOI Listing
February 2019

An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure based on Bayes Theorem.

IEEE J Biomed Health Inform 2019 Feb 15. Epub 2019 Feb 15.

The aim of this research was to analyze objectively the process of disc herniation identification using Bayes Theorem. One of the symptoms of discus hernia is muscle weakness on the foot that is caused by displaced discs in the space of two vertebrae. This fact is used by experts in initial diagnosis of herniated discs and we used it to create non-invasive platform for the same purposes by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Read More

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http://dx.doi.org/10.1109/JBHI.2019.2899665DOI Listing
February 2019

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-or Network.

IEEE Trans Neural Netw Learn Syst 2019 Feb 14. Epub 2019 Feb 14.

Automatic diagnosing lung cancer from computed tomography scans involves two steps: detect all suspicious lesions (pulmonary nodules) and evaluate the whole-lung/pulmonary malignancy. Currently, there are many studies about the first step, but few about the second step. Since the existence of nodule does not definitely indicate cancer, and the morphology of nodule has a complicated relationship with cancer, the diagnosis of lung cancer demands careful investigations on every suspicious nodule and integration of information of all nodules. Read More

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http://dx.doi.org/10.1109/TNNLS.2019.2892409DOI Listing
February 2019

Cluster Synchronization for Neutral Stochastic Delay Networks via Intermittent Adaptive Control.

IEEE Trans Neural Netw Learn Syst 2019 Feb 15. Epub 2019 Feb 15.

This paper studies the problem of cluster synchronization at exponential rates in both the mean square and almost sure senses for neutral stochastic coupled neural networks with time-varying delay via a periodically intermittent pinning adaptive control strategy. The network topology can be symmetric or asymmetric, with each network node being described by neutral stochastic delayed neural networks. When considering the exponential stabilization in the mean square sense for neutral stochastic delay system, the delay integral inequality approach is used to circumvent the obstacle arising from the coexistence of random disturbance, neutral item, and time-varying delay. Read More

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http://dx.doi.org/10.1109/TNNLS.2018.2890269DOI Listing
February 2019

SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

Real-time 3D scene reconstruction from RGB-D sensor data, as well as the exploration of such data in VR/AR settings, has seen tremendous progress in recent years. The combination of both these components into telepresence systems, however, comes with significant technical challenges. All approaches proposed so far are extremely demanding on input and output devices, compute resources and transmission bandwidth, and they do not reach the level of immediacy required for applications such as remote collaboration. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899231DOI Listing
February 2019

Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks.

IEEE Trans Vis Comput Graph 2019 Feb 15. Epub 2019 Feb 15.

In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a 360° stereoscopic video. We consider the user's eye movement as a new feature, in addition to the motion velocity and depth features of a video used in previous work. For this purpose, we use saliency, optical flow, and disparity maps of an input video, which represent eye movement, velocity, and depth, respectively, as the input of the 3D CNN. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899186DOI Listing
February 2019

Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

IEEE Trans Med Imaging 2019 Feb 18. Epub 2019 Feb 18.

Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and cup (OC) from fundus images is beneficial to glaucoma screening and diagnosis. Recently, convolutional neural networks demonstrate promising progress in joint OD and OC segmentation. Read More

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http://dx.doi.org/10.1109/TMI.2019.2899910DOI Listing
February 2019

Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank.

IEEE Trans Pattern Anal Mach Intell 2019 Feb 15. Epub 2019 Feb 15.

For many applications the collection of labeled data is expensive laborious. Exploitation of unlabeled data during training is thus a long pursued objective of machine learning. Self-supervised learning addresses this by positing an auxiliary task (different, but related to the supervised task) for which data is abundantly available. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2899857DOI Listing
February 2019

Progressive Representation Adaptation for Weakly Supervised Object Localization.

IEEE Trans Pattern Anal Mach Intell 2019 Feb 15. Epub 2019 Feb 15.

We address the problem of weakly supervised object localization where only image-level annotations are available for training object detectors.Numerous methods have been proposed to tackle this problem through mining object proposals. However, a substantial amount of noise in object proposals causes ambiguities for learning discriminative object models. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2899839DOI Listing
February 2019

Rehab-Net: Deep Learning framework for Arm Movement Classification using Wearable Sensors for Stroke Rehabilitation.

IEEE Trans Biomed Eng 2019 Feb 18. Epub 2019 Feb 18.

In this paper, we present a deep learning framework 'Rehab-Net' for effectively classifying three upper limb movements of the human arm, involving extension, flexion and rotation of the forearm which over the time could provide a measure of rehabilitation progress. The proposed framework, Rehab-Net is formulated with a personalized, light weight and low complex, customized CNN model, using 2-layers of Convolutional neural network (CNN), interleaved with pooling layers, followed by a fully-connected layer that classifies the three movements from tri-axial acceleration input data collected from the wrist. The proposed Rehab-net framework was validated on sensor data collected in two situations-a) seminaturalistic environment involving an archetypal activity of 'making-tea' with 4 stroke survivors and b) natural environment, where 10 stroke survivors were free to perform any desired arm movement for a duration of 120 minutes. Read More

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http://dx.doi.org/10.1109/TBME.2019.2899927DOI Listing
February 2019

The impact of pathological high-frequency oscillations on hippocampal network activity in rats with chronic epilepsy.

Elife 2019 Feb 22;8. Epub 2019 Feb 22.

Neurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, La Jolla, United States.

In epilepsy, brain networks generate pathological high-frequency oscillations (pHFOs) during interictal periods. To understand how pHFOs differ from normal oscillations in overlapping frequency bands and potentially perturb hippocampal processing, we performed high-density single unit and local field potential recordings from hippocampi of behaving rats with and without chronic epilepsy. In epileptic animals, we observed two types of co-occurring fast oscillations, which by comparison to control animals we could classify as 'ripple-like' or 'pHFO'. Read More

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http://dx.doi.org/10.7554/eLife.42148DOI Listing
February 2019

A commentary on: statistical inference problems in sequential parallel designs.

J Biopharm Stat 2019 Feb 22:1-4. Epub 2019 Feb 22.

c Massachusetts General Hospital (MGH) , Clinical Trials Network and Institute (CTNI) , Boston , MA , USA.

A Sequential Parallel Comparison Design has two stages, the first comparing drug to placebo and the second comparing drug to placebo among patients who did not respond to placebo in the first stage. The paper, Statistical Inference Problems in Sequential Parallel Designs, claims that the estimate of the treatment difference in the second stage is biased and that under certain circumstances, a suggested hypothesis test will reject the null hypothesis when it should be accepted. This rejoinder argues that the estimate in the second stage is not biased when the true target of estimation (estimand) is properly understood. Read More

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http://dx.doi.org/10.1080/10543406.2019.1584207DOI Listing
February 2019

Accounting for robustness in modeling signal transduction responses.

J Recept Signal Transduct Res 2019 Feb 22:1-6. Epub 2019 Feb 22.

a Department of Biotechnology, College of Science , University of Tehran , Tehran , Iran.

A classical question in systems biology is to find a Boolean model which is able to predict the observed responses of a signaling network. It has been previously shown that such models can be tailored based on experimental data. While fitting a minimum-size network to the experimentally observed data is a natural assumption, it can potentially result in a network which is not so robust against the noises in the training dataset. Read More

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http://dx.doi.org/10.1080/10799893.2019.1572762DOI Listing
February 2019

Regional dynamics of the resting brain in amyotrophic lateral sclerosis using fALFF and ReHo analyses.

Brain Connect 2019 Feb 22. Epub 2019 Feb 22.

Universidade Federal do ABC, 74362, Santo Andre, SP, Brazil ;

Resting state functional magnetic resonance imaging (rs-fMRI) has been playing an important role in the study of amyotrophic lateral sclerosis (ALS). Although functional connectivity is widely studied, the patterns of spontaneous neural activity of the resting brain are important mechanisms that have been used recently to study a variety of conditions but remain less explored in ALS. Here we have used fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo) to study the regional dynamics of the resting brain of non-demented ALS patients compared with healthy controls. Read More

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http://dx.doi.org/10.1089/brain.2019.0663DOI Listing
February 2019

RN: A Novel Biclustering Algorithm for Analysis of Gene Expression Data Using Protein-Protein Interaction Network.

J Comput Biol 2019 Feb 22. Epub 2019 Feb 22.

1 Department of Computer Science and Engineering, Incheon National University, Incheon, South Korea.

Biclustering is a process of finding groups of genes that behave similarly under a subset of conditions. In this article, we propose an efficient biclustering algorithm, namely RN, to identify biologically meaningful biclusters in gene expression data. The RN algorithm finds biologically meaningful biclusters through a novel gene filtering using protein-protein interaction network, gene searching, gene grouping, and queuing process. Read More

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http://dx.doi.org/10.1089/cmb.2019.0003DOI Listing
February 2019

Nanostructured fibrin agarose hydrogel as a novel hemostatic agent.

J Tissue Eng Regen Med 2019 Feb 22. Epub 2019 Feb 22.

Instituto de Investigaciones Biomédicas de Sevilla, IBIS, (HUVR/CSIC/Universidad de Sevilla, Junta de Andalucía), Spain.

Blood loss remains a major concern during surgery and can increase the morbidity of the intervention. The use of topical hemostatic agents to overcome this issue therefore becomes necessary. Fibrin sealants are promising hemostatic agents due to their capacity to promote coagulation, but their effectiveness and applicability need to be improved. Read More

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http://dx.doi.org/10.1002/term.2831DOI Listing
February 2019

Cell Fate and Developmental Regulation Dynamics by Polycomb Proteins and 3D Genome Architecture.

Bioessays 2019 Feb 22. Epub 2019 Feb 22.

Institute of Human Genetics, UMR 9002, CNRS and University of Montpellier, 34396, Montpellier, France.

Targeted transitions in chromatin states at thousands of genes are essential drivers of eukaryotic development. Therefore, understanding the in vivo dynamics of epigenetic regulators is crucial for deciphering the mechanisms underpinning cell fate decisions. This review illustrates how, in addition to its cell memory function, the Polycomb group of transcriptional regulators orchestrates temporal, cell and tissue-specific expression of master genes during development. Read More

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http://dx.doi.org/10.1002/bies.201800222DOI Listing
February 2019

Network multipliers and public health.

Int J Epidemiol 2019 Feb 21. Epub 2019 Feb 21.

Department of Sociology, Yale University, New Haven, CT, USA.

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http://dx.doi.org/10.1093/ije/dyz010DOI Listing
February 2019

Dabigatran dual therapy with ticagrelor or clopidogrel after percutaneous coronary intervention in atrial fibrillation patients with or without acute coronary syndrome: a subgroup analysis from the RE-DUAL PCI trial.

Eur Heart J 2019 Feb 21. Epub 2019 Feb 21.

Brigham and Women's Hospital, Heart and Vascular Center and Harvard Medical School, 75 Francis Street, Boston, MA, USA.

Aims: After percutaneous coronary intervention (PCI) in patients with atrial fibrillation, safety and efficacy with dabigatran dual therapy were evaluated in pre-specified subgroups of patients undergoing PCI due to acute coronary syndrome (ACS) or elective PCI, and those receiving ticagrelor or clopidogrel treatment.

Methods And Results: In the RE-DUAL PCI trial, 2725 patients were randomized to dabigatran 110 mg or 150 mg with P2Y12 inhibitor, or warfarin with P2Y12 inhibitor and aspirin. Mean follow-up was 14 months, 50. Read More

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http://dx.doi.org/10.1093/eurheartj/ehz059DOI Listing
February 2019

Hollow CoO Nanosphere Surrounded by N-Doped Graphitic Carbon Filled within Multilayer-Sandwiched Graphene Network: A High-Performance Anode for Lithium Storage.

Inorg Chem 2019 Feb 22. Epub 2019 Feb 22.

We prepared a multilayer-sandwiched CoO/NGC/rGO composite by introducing in situ electrostatic self-assembly method with a subsequent thermal annealing induced Kirkendall effect. In the composite, the hollow CoO nanospheres surrounded by N-doped graphitic carbon (NGC) layer are tightly sandwiched between the reduced graphene oxide (rGO) layers. The layer-by-layer multilayer-sandwiched structure and strong electrostatic interaction bring the space confinement effect and close electrical contact between different components, which greatly strengthen the durability of the electrode structure and electron/ion transport kinetics. Read More

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http://dx.doi.org/10.1021/acs.inorgchem.8b03533DOI Listing
February 2019

Association of Bisphenol A and Its Substitutes, Bisphenol F and Bisphenol S, with Obesity in United States Children and Adolescents.

Diabetes Metab J 2019 Feb;43(1):59-75

Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.

Background: Bisphenol F (BPF) and bisphenol S (BPS) are increasingly used as substitutes for bisphenol A (BPA), an environmental obesogen. However, health effects of BPF and BPS remain unclear. In this study, we evaluated the associations of BPA, BPF, and BPS with obesity in children and adolescents. Read More

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http://dx.doi.org/10.4093/dmj.2018.0045DOI Listing
February 2019

The promising novel biomarkers and candidate small molecule drugs in kidney renal clear cell carcinoma: Evidence from bioinformatics analysis of high-throughput data.

Mol Genet Genomic Med 2019 Feb 21:e607. Epub 2019 Feb 21.

The Hand Surgery Research Center, Department of Hand Surgery, Affiliated Hospital of Nantong University, Nantong, P.R. China.

Background: Kidney renal clear cell carcinoma (KIRC) is the most common subtype of renal tumor. However, the molecular mechanisms of KIRC pathogenesis remain little known. The purpose of our study was to identify potential key genes related to the occurrence and prognosis of KIRC, which could serve as novel diagnostic and prognostic biomarkers for KIRC. Read More

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http://dx.doi.org/10.1002/mgg3.607DOI Listing
February 2019

CRISPR interference-mediated gene regulation in Pseudomonas putida KT2440.

Microb Biotechnol 2019 Feb 22. Epub 2019 Feb 22.

Synthetic Biology and Bioengineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Korea.

Targeted gene regulation is indispensable for reprogramming a cellular network to modulate a microbial phenotype. Here, we adopted the type II CRISPR interference (CRISPRi) system for simple and efficient regulation of target genes in Pseudomonas putida KT2440. A single CRISPRi plasmid was generated to express a nuclease-deficient Cas9 gene and a designed single guide RNA, under control of l-rhamnose-inducible P and the constitutive Biobrick J23119 promoter respectively. Read More

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http://dx.doi.org/10.1111/1751-7915.13382DOI Listing
February 2019

Toward High Power-High Energy Sodium Cathodes: A Case Study of Bicontinuous Ordered Network of 3D Porous Na (VO) (PO ) F/rGO with Pseudocapacitance Effect.

Small 2019 Feb 21:e1900356. Epub 2019 Feb 21.

Department of Materials Science and Engineering, Sun-Yat Sen University, Guangzhou, 510275, Guangdong, P. R. China.

Developing high power-high energy electrochemical energy storage systems is an ultimate goal in the energy storage field, which is even more difficult but significant for low-cost sodium ion batteries. Here, fluoride is successfully prepared by the electrostatic spray deposition (ESD) technique, which greatly expands the application scope of ESD. A two-step strategy (solvothermal plus ESD method) is proposed to construct a bicontinuous ordered network of 3D porous Na (VO) (PO ) F/reduced graphene oxide (NVOPF/rGO). Read More

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http://dx.doi.org/10.1002/smll.201900356DOI Listing
February 2019

Anticipating global terrestrial ecosystem state change using FLUXNET.

Glob Chang Biol 2019 Feb 22. Epub 2019 Feb 22.

School of Sustainability, Arizona State University, Tempe, AZ, USA.

Ecosystems can be characterized as complex systems that traverse a variety of functional and structural states in response to changing bioclimatic forcings. A central challenge of global change biology is the robust empirical description of these states and state transitions. An ecosystem's functional state can be empirically described using Process Networks (PN) that use timeseries observations to determine the strength of process-level functional couplings between ecosystem components. Read More

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http://dx.doi.org/10.1111/gcb.14602DOI Listing
February 2019

Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers.

Hum Brain Mapp 2019 Feb 21. Epub 2019 Feb 21.

Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel.

Non-manifesting carriers (NMC) of the G2019S mutation in the LRRK2 gene represent an "at risk" group for future development of Parkinson's disease (PD) and have demonstrated task related fMRI changes. However, resting-state networks have received less research focus, thus this study aimed to assess the integrity of the motor, default mode (DMN), salience (SAL), and dorsal attention (DAN) networks among this unique population by using two different connectivity measures: interregional functional connectivity analysis and Dependency network analysis (D NA). Machine learning classification methods were used to distinguish connectivity between the two groups of participants. Read More

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http://dx.doi.org/10.1002/hbm.24543DOI Listing
February 2019

Which groups of the poor are supported more by the law? Pro-poor health policy network in Iran.

Int J Health Plann Manage 2019 Feb 22. Epub 2019 Feb 22.

Department of Agriculture and Natural Resources, University of Hormozgan, Bandar Abbas, Iran.

Background: Considering the challenges of health services utilization of the poor in Iran, it is necessary to examine the supportive policy documents about the poor in order to identify such challenges.

Methods: This study is a policy documents analysis that has evaluated the legal documents in the health financial support to the poor. The researchers looked in the websites for documents and referred to related organizations. Read More

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http://dx.doi.org/10.1002/hpm.2744DOI Listing
February 2019