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https://www.readbyqxmd.com/read/27914306/a-contactless-ultrasonic-surface-wave-approach-to-characterize-distributed-cracking-damage-in-concrete
#1
Suyun Ham, Homin Song, Michael L Oelze, John S Popovics
We describe an approach that utilizes ultrasonic surface wave backscatter measurements to characterize the volume content of relatively small distributed defects (microcrack networks) in concrete. A simplified weak scattering model is used to demonstrate that the scattered wave field projected in the direction of the surface wave propagation is relatively insensitive to scatterers that are smaller than the propagating wavelength, while the scattered field projected in the opposite direction is more sensitive to sub-wavelength scatterers...
November 9, 2016: Ultrasonics
https://www.readbyqxmd.com/read/27914185/use-of-peers-to-improve-adherence-to-antiretroviral-therapy-a-global-network-meta-analysis
#2
REVIEW
Steve Kanters, Jay Jh Park, Keith Chan, Nathan Ford, Jamie Forrest, Kristian Thorlund, Jean B Nachega, Edward J Mills
INTRODUCTION: It is unclear whether using peers can improve adherence to antiretroviral therapy (ART). To construct the World Health Organization's global guidance on adherence interventions, we conducted a systematic review and network meta-analysis to determine the effectiveness of using peers for achieving adequate adherence and viral suppression. METHODS: We searched for randomized clinical trials of peer-based interventions to promote adherence to ART in HIV populations...
2016: Journal of the International AIDS Society
https://www.readbyqxmd.com/read/27913356/a-framework-for-integrating-multiple-biological-networks-to-predict-microrna-disease-associations
#3
Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan
MicroRNAs have close relationship with human diseases. Therefore, identifying disease related MicroRNAs plays an important role in disease diagnosis, prognosis and therapy. However, designing an effective computational method which can make good use of various biological resources and correctly predict the associations between MicroRNA and disease is still a big challenge. Previous researchers have pointed out that there are complex relationships among microRNAs, diseases and environment factors. There are inter-relationships between microRNAs, diseases or environment factors based on their functional similarity or phenotype similarity or chemical structure similarity and so on...
November 29, 2016: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/27913295/dissection-of-functional-lncrnas-in-alzheimer-s-disease-by-construction-and-analysis-of-lncrna-mrna-networks-based-on-competitive-endogenous-rnas
#4
Lian-Kun Wang, Xiao-Feng Chen, Dan-Dan He, You Li, Jin Fu
Alzheimer's disease (AD) is a neurodegenerative disorder that is the most common cause of dementia in the elderly, and intracellular neurofibrillary tangles (NFTs) are one of the pathological features of AD. Recent studies have suggested long noncoding RNAs (lncRNAs) play important roles in AD. Competing endogenous RNAs (ceRNAs) is a mechanism that has recently been proposed, in which lncRNAs compete for common miRNA-binding sites with mRNAs. However, the roles of lncRNAs and ceRNA in AD NFTs is limited. In this study, we constructed a global triple network based on ceRNA theory, then an AD NFT lncRNA-mRNA network (NFTLMN) was generated...
November 29, 2016: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/27913189/construction-and-analysis-of-a-human-testis-sperm-enriched-interaction-network-unraveling-the-ppp1cc2-interactome
#5
Joana Vieira Silva, Sooyeon Yoon, Pieter-Jan De Bock, Alexander V Goltsev, Kris Gevaert, José Fernando F Mendes, Margarida Fardilha
BACKGROUND: Phosphoprotein phosphatase 1 catalytic subunit gamma 2 (PPP1CC2), a PPP1CC tissue-specific alternative splice restricted to testicular germ cells and spermatozoa, is essential for spermatogenesis and spermatozoa motility. The key to understand PPP1CC2 regulation lies on the characterization of its interacting partners. METHODS: We construct a testis/sperm-enriched protein interaction network and analyzed the topological properties and biological context of the network...
November 29, 2016: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/27911271/immunoglobulin-superfamily-genes-are-novel-prognostic-biomarkers-for-breast-cancer
#6
Yue Li, Maoni Guo, Zhenkun Fu, Peng Wang, Yan Zhang, Yue Gao, Ming Yue, Shangwei Ning, Dianjun Li
Breast cancer progression is associated with dysregulated expression of the immunoglobulin superfamily (IgSF) genes that are involved in cell-cell recognition, binding and adhesion. Despite widespread evidence that many IgSF genes could serve as effective biomarkers, this potential has not been realized because the studies have focused mostly on individual genes and not the entire network. To gain a global perspective of the IgSF-related biomarkers, we constructed an IgSF-directed neighbor network (IDNN) and an IgSF-directed driver network (IDDN) by integrating multiple levels of data, including IgSF genes, breast cancer driver genes, protein-protein interaction (PPI) networks and gene expression profiling data...
November 29, 2016: Oncotarget
https://www.readbyqxmd.com/read/27909704/the-first-water-soluble-pillar-5-arene-dimer-synthesis-and-construction-of-a-reversible-fluorescent-supramolecular-polymer-network-in-water
#7
Yan Sun, Jin Wang, Yong Yao
The first water-soluble pillar[n]arene (n = 5) dimer was successfully synthesized. This dimer can complex with carboxylate anion-functionalized tetraphenyl ethylene to form a reversible fluorescent supramolecular polymer network in water.
December 2, 2016: Chemical Communications: Chem Comm
https://www.readbyqxmd.com/read/27909208/evaluation-of-a-national-telemedicine-initiative-in-the-veterans-health-administration-factors-associated-with-successful-implementation
#8
Lauren Stevenson, Sherry Ball, Leah M Haverhals, David C Aron, Julie Lowery
BACKGROUND: The Consolidated Framework for Implementation Research was used to evaluate implementation facilitators and barriers of Specialty Care Access Network-Extension for Community Healthcare Outcomes (SCAN-ECHO) within the Veterans Health Administration. SCAN-ECHO is a video teleconferencing-based programme where specialist teams train and mentor remotely-located primary care providers in providing routine speciality care for common chronic illnesses. The goal of SCAN-ECHO was to improve access to speciality care for Veterans...
November 30, 2016: Journal of Telemedicine and Telecare
https://www.readbyqxmd.com/read/27908025/geometry-of-behavioral-spaces-a-computational-approach-to-analysis-and-understanding-of-agent-based-models-and-agent-behaviors
#9
Martin Cenek, Spencer K Dahl
Systems with non-linear dynamics frequently exhibit emergent system behavior, which is important to find and specify rigorously to understand the nature of the modeled phenomena. Through this analysis, it is possible to characterize phenomena such as how systems assemble or dissipate and what behaviors lead to specific final system configurations. Agent Based Modeling (ABM) is one of the modeling techniques used to study the interaction dynamics between a system's agents and its environment. Although the methodology of ABM construction is well understood and practiced, there are no computational, statistically rigorous, comprehensive tools to evaluate an ABM's execution...
November 2016: Chaos
https://www.readbyqxmd.com/read/27908014/symmetry-effects-on-naturally-arising-chimera-states-in-mechanical-oscillator-networks
#10
Karen Blaha, Ryan J Burrus, Jorge L Orozco-Mora, Elvia Ruiz-Beltrán, Abu B Siddique, V D Hatamipour, Francesco Sorrentino
Coupled oscillators were believed to exclusively exist in a state of synchrony or disorder until Kuramoto theoretically proved that the two states could coexist, called a chimera state, when portions of the population had a spatial dependent coupling. Recent work has demonstrated the spontaneous emergence of chimera states in an experiment involving mechanical oscillators coupled through a two platform swing. We constructed an experimental apparatus with three platforms that each contains a population of mechanical oscillators in order investigate the effects of a network symmetry on naturally arising chimera states...
November 2016: Chaos
https://www.readbyqxmd.com/read/27907815/master-or-servant-emerging-roles-for-motor-neuron-subtypes-in-the-construction-and-evolution-of-locomotor-circuits
#11
REVIEW
Jeremy S Dasen
Execution of motor behaviors relies on the ability of circuits within the nervous system to engage functionally relevant subtypes of spinal motor neurons. While much attention has been given to the role of networks of spinal interneurons on setting the rhythm and pattern of output from locomotor circuits, recent studies suggest that motor neurons themselves can exert an instructive role in shaping the wiring and functional properties of locomotor networks. Alteration in the distribution of motor neuron subtypes also appears to have contributed to evolutionary transitions in the locomotor strategies used by land vertebrates...
November 28, 2016: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/27907011/uncover-mirna-disease-association-by-exploiting-global-network-similarity
#12
Min Chen, Xingguo Lu, Bo Liao, Zejun Li, Lijun Cai, Changlong Gu
Identification of miRNA-disease association is a fundamental challenge in human health clinic. However, the known miRNA-disease associations are rare and experimental verification methods are expensive and time-consuming. Therefore, there is a strong incentive to develop computational methods. In this paper, we calculate the similarity score for each miRNAs pair by integrating miRNA functional similarity and miRNA family information. We use the disease phenotype similarity data to construct the disease similarity network...
2016: PloS One
https://www.readbyqxmd.com/read/27906902/comparison-of-transcriptome-between-type-2-diabetes-mellitus-and-impaired-fasting-glucose
#13
Ying Cui, Wen Chen, Jinfeng Chi, Lei Wang
BACKGROUND The aim of this study was to compare the transcriptome between impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and further research their molecular mechanisms. MATERIAL AND METHODS The original microarray GSE21321, including miRNA and mRNA expression profiles, was downloaded from the GEO database. Data preprocessing was processed by limma package, and differentially expressed genes (DGs) and miRNA (DMs) were screened. Then, the regulatory relationships among miRNA, TF, and genes were screened and the regulatory network was constructed...
December 1, 2016: Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
https://www.readbyqxmd.com/read/27906520/construction-of-the-human-forebrain
#14
REVIEW
Terry L Jernigan, Joan Stiles
The adult human brain is arguably the most complex of biological systems. It contains 86 billion neurons (the information processing cells of the brain) and many more support cells. The neurons, with the assistance of the support cells, form trillions of connections creating complex, interconnected neural networks that support all human thought, feeling, and action. A challenge for modern neuroscience is to provide a model that accounts for this exquisitely complex and dynamic system. One fundamental part of this model is an account of how the human brain develops...
December 1, 2016: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/27905520/a-parallel-adaboost-backpropagation-neural-network-for-massive-image-dataset-classification
#15
Jianfang Cao, Lichao Chen, Min Wang, Hao Shi, Yun Tian
Image classification uses computers to simulate human understanding and cognition of images by automatically categorizing images. This study proposes a faster image classification approach that parallelizes the traditional Adaboost-Backpropagation (BP) neural network using the MapReduce parallel programming model. First, we construct a strong classifier by assembling the outputs of 15 BP neural networks (which are individually regarded as weak classifiers) based on the Adaboost algorithm. Second, we design Map and Reduce tasks for both the parallel Adaboost-BP neural network and the feature extraction algorithm...
December 1, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27903883/function-driven-discovery-of-disease-genes-in-zebrafish-using-an-integrated-genomics-big-data-resource
#16
Hongseok Shim, Ji Hyun Kim, Chan Yeong Kim, Sohyun Hwang, Hyojin Kim, Sunmo Yang, Ji Eun Lee, Insuk Lee
Whole exome sequencing (WES) accelerates disease gene discovery using rare genetic variants, but further statistical and functional evidence is required to avoid false-discovery. To complement variant-driven disease gene discovery, here we present function-driven disease gene discovery in zebrafish (Danio rerio), a promising human disease model owing to its high anatomical and genomic similarity to humans. To facilitate zebrafish-based function-driven disease gene discovery, we developed a genome-scale co-functional network of zebrafish genes, DanioNet (www...
November 16, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27903783/uncovering-the-mechanisms-of-caenorhabditis-elegans-ageing-from-global-quantification-of-the-underlying-landscape
#17
Lei Zhao, Jin Wang
Recent studies on Caenorhabditis elegans reveal that gene manipulations can extend its lifespan several fold. However, how the genes work together to determine longevity is still an open question. Here we construct a gene regulatory network for worm ageing and quantify its underlying potential and flux landscape. We found ageing and rejuvenation states can emerge as basins of attraction at certain gene expression levels. The system state can switch from one attractor to another driven by the intrinsic or external perturbations through genetics or the environment...
November 2016: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/27902691/do-vascular-networks-branch-optimally-or-randomly-across-spatial-scales
#18
Elif Tekin, David Hunt, Mitchell G Newberry, Van M Savage
Modern models that derive allometric relationships between metabolic rate and body mass are based on the architectural design of the cardiovascular system and presume sibling vessels are symmetric in terms of radius, length, flow rate, and pressure. Here, we study the cardiovascular structure of the human head and torso and of a mouse lung based on three-dimensional images processed via our software Angicart. In contrast to modern allometric theories, we find systematic patterns of asymmetry in vascular branching, potentially explaining previously documented mismatches between predictions (power-law or concave curvature) and observed empirical data (convex curvature) for the allometric scaling of metabolic rate...
November 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27902487/identification-of-laryngeal-cancer-prognostic-biomarkers-using-an-inflammatory-gene-related-competitive-endogenous-rna-network
#19
Qun He, Linli Tian, Hao Jiang, Jiarui Zhang, Qiang Li, Yanan Sun, Jiannan Zhao, Huijun Li, Ming Liu
Competitive endogenous RNAs (ceRNAs) act as molecular sponges for microRNAs (miRNAs), and are associated with tumorigenesis in various cancers, including laryngeal cancer (LC). In this work, we constructed an LC-specific inflammatory gene-related ceRNA network (IceNet). In IceNet, ceRNAs targeting inflammation-related genes tended to be network hubs. Additionally, the betweenness centralities of these hub ceRNAs were higher than those of the inflammation-related genes themselves, indicating that the hub ceRNAs in this study played critical roles in communication between IceNet molecules...
November 25, 2016: Oncotarget
https://www.readbyqxmd.com/read/27901073/thd-module-extractor-an-application-for-cen-module-extraction-and-interesting-gene-identification-for-alzheimer-s-disease
#20
Tulika Kakati, Hirak Kashyap, Dhruba K Bhattacharyya
There exist many tools and methods for construction of co-expression network from gene expression data and for extraction of densely connected gene modules. In this paper, a method is introduced to construct co-expression network and to extract co-expressed modules having high biological significance. The proposed method has been validated on several well known microarray datasets extracted from a diverse set of species, using statistical measures, such as p and q values. The modules obtained in these studies are found to be biologically significant based on Gene Ontology enrichment analysis, pathway analysis, and KEGG enrichment analysis...
November 30, 2016: Scientific Reports
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