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https://www.readbyqxmd.com/read/28545246/increasing-the-use-of-urban-greenways-in-developing-countries-a-case-study-on-wutong-greenway-in-shenzhen-china
#1
Yiyong Chen, Weiying Gu, Tao Liu, Lei Yuan, Mali Zeng
Given the benefits of urban greenways on the health and well-being of urban populations, the increased use of urban greenways has garnered increasing attention. Studies on urban greenways, however, have been mostly conducted in Western countries, whereas there is limited knowledge on greenway use in urban areas in developing countries. To address this shortcoming, the present study selected Wutong Greenway in Shenzhen, China, as a case study and focused on the use pattern and factors that influence the frequency and duration of urban greenway use in developing countries...
May 23, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28545245/multimodal-bio-inspired-tactile-sensing-module-for-surface-characterization
#2
Thiago Eustaquio Alves de Oliveira, Ana-Maria Cretu, Emil M Petriu
Robots are expected to recognize the properties of objects in order to handle them safely and efficiently in a variety of applications, such as health and elder care, manufacturing, or high-risk environments. This paper explores the issue of surface characterization by monitoring the signals acquired by a novel bio-inspired tactile probe in contact with ridged surfaces. The tactile module comprises a nine Degree of Freedom Microelectromechanical Magnetic, Angular Rate, and Gravity system (9-DOF MEMS MARG) and a deep MEMS pressure sensor embedded in a compliant structure that mimics the function and the organization of mechanoreceptors in human skin as well as the hardness of the human skin...
May 23, 2017: Sensors
https://www.readbyqxmd.com/read/28545239/lora-scalability-a-simulation-model-based-on-interference-measurements
#3
Jetmir Haxhibeqiri, Floris Van den Abeele, Ingrid Moerman, Jeroen Hoebeke
LoRa is a long-range, low power, low bit rate and single-hop wireless communication technology. It is intended to be used in Internet of Things (IoT) applications involving battery-powered devices with low throughput requirements. A LoRaWAN network consists of multiple end nodes that communicate with one or more gateways. These gateways act like a transparent bridge towards a common network server. The amount of end devices and their throughput requirements will have an impact on the performance of the LoRaWAN network...
May 23, 2017: Sensors
https://www.readbyqxmd.com/read/28545230/nanog-plays-a-hierarchical-role-in-the-transcription-network-regulating-the-pluripotency-and-plasticity-of-adipose-tissue-derived-stem-cells
#4
Maria Pitrone, Giuseppe Pizzolanti, Laura Tomasello, Antonina Coppola, Lorenzo Morini, Gianni Pantuso, Romina Ficarella, Valentina Guarnotta, Sebastio Perrini, Francesco Giorgino, Carla Giordano
The stromal vascular cell fraction (SVF) of visceral and subcutaneous adipose tissue (VAT and SAT) has increasingly come into focus in stem cell research, since these compartments represent a rich source of multipotent adipose-derived stem cells (ASCs). ASCs exhibit a self-renewal potential and differentiation capacity. Our aim was to study the different expression of the embryonic stem cell markers NANOG (homeobox protein NANOG), SOX2 (SRY (sex determining region Y)-box 2) and OCT4 (octamer-binding transcription factor 4) and to evaluate if there exists a hierarchal role in this network in ASCs derived from both SAT and VAT...
May 23, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28545146/transcriptomics-technologies
#5
Rohan Lowe, Neil Shirley, Mark Bleackley, Stephen Dolan, Thomas Shafee
Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content of an organism is recorded in the DNA of its genome and expressed through transcription. Here, mRNA serves as a transient intermediary molecule in the information network, whilst noncoding RNAs perform additional diverse functions. A transcriptome captures a snapshot in time of the total transcripts present in a cell. The first attempts to study the whole transcriptome began in the early 1990s, and technological advances since the late 1990s have made transcriptomics a widespread discipline...
May 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28545135/maximum-flow-based-resilience-analysis-from-component-to-system
#6
Chong Jin, Ruiying Li, Rui Kang
Resilience, the ability to withstand disruptions and recover quickly, must be considered during system design because any disruption of the system may cause considerable loss, including economic and societal. This work develops analytic maximum flow-based resilience models for series and parallel systems using Zobel's resilience measure. The two analytic models can be used to evaluate quantitatively and compare the resilience of the systems with the corresponding performance structures. For systems with identical components, the resilience of the parallel system increases with increasing number of components, while the resilience remains constant in the series system...
2017: PloS One
https://www.readbyqxmd.com/read/28545125/causal-interactions-in-resting-state-networks-predict-perceived-loneliness
#7
Yin Tian, Li Yang, Sifan Chen, Daqing Guo, Zechao Ding, Kin Yip Tam, Dezhong Yao
Loneliness is broadly described as a negative emotional response resulting from the differences between the actual and desired social relations of an individual, which is related to the neural responses in connection with social and emotional stimuli. Prior research has discovered that some neural regions play a role in loneliness. However, little is known about the differences among individuals in loneliness and the relationship of those differences to differences in neural networks. The current study aimed to investigate individual differences in perceived loneliness related to the causal interactions between resting-state networks (RSNs), including the dorsal attentional network (DAN), the ventral attentional network (VAN), the affective network (AfN) and the visual network (VN)...
2017: PloS One
https://www.readbyqxmd.com/read/28545124/cornet-assigning-function-to-networks-of-co-evolving-residues-by-automated-literature-mining
#8
Tom van den Bergh, Giorgio Tamo, Alberto Nobili, Yifeng Tao, Tianwei Tan, Uwe T Bornscheuer, Remko K P Kuipers, Bas Vroling, René M de Jong, Kalyanasundaram Subramanian, Peter J Schaap, Tom Desmet, Bernd Nidetzky, Gert Vriend, Henk-Jan Joosten
CorNet is a web-based tool for the analysis of co-evolving residue positions in protein super-family sequence alignments. CorNet projects external information such as mutation data extracted from literature on interactively displayed groups of co-evolving residue positions to shed light on the functions associated with these groups and the residues in them. We used CorNet to analyse six enzyme super-families and found that groups of strongly co-evolving residues tend to consist of residues involved in a same function such as activity, specificity, co-factor binding, or enantioselectivity...
2017: PloS One
https://www.readbyqxmd.com/read/28545120/incidence-and-risk-factors-for-developing-infection-in-patients-presenting-with-uninfected-diabetic-foot-ulcers
#9
Limin Jia, Christina N Parker, Tony J Parker, Ewan M Kinnear, Patrick H Derhy, Ann M Alvarado, Flavia Huygens, Peter A Lazzarini
OBJECTIVE: There is a paucity of research on patients presenting with uninfected diabetic foot ulcers (DFU) that go on to develop infection. We aimed to investigate the incidence and risk factors for developing infection in a large regional cohort of patients presenting with uninfected DFUs. METHODS: We performed a secondary analysis of data collected from a validated prospective state-wide clinical diabetic foot database in Queensland (Australia). Patients presenting for their first visit with an uninfected DFU to a Diabetic Foot Service in one of thirteen Queensland regions between January 2012 and December 2013 were included...
2017: PloS One
https://www.readbyqxmd.com/read/28545115/network-architecture-associated-with-the-highly-specialized-hindlimb-of-frogs
#10
Daniel Andrés Dos Santos, Jéssica Fratani, María Laura Ponssa, Virginia Abdala
Network analyses have been increasingly used in the context of comparative vertebrate morphology. The structural units of the vertebrate body are treated as discrete elements (nodes) of a network, whose interactions at their physical contacts (links) determine the phenotypic modules. Here, we use the network approach to study the organization of the locomotor system underlying the hindlimb of frogs. Nodes correspond to fibrous knots, skeletal and muscular units. Edges encode the ligamentous and monoaxial tendinous connections in addition to joints...
2017: PloS One
https://www.readbyqxmd.com/read/28545114/different-adaptation-strategies-of-two-citrus-scion-rootstock-combinations-in-response-to-drought-stress
#11
Joadson Dutra de Souza, Edson Mario de Andrade Silva, Mauricio Antônio Coelho Filho, Raphaël Morillon, Diego Bonatto, Fabienne Micheli, Abelmon da Silva Gesteira
Scion/rootstock interaction is important for plant development and for breeding programs. In this context, polyploid rootstocks presented several advantages, mainly in relation to biotic and abiotic stresses. Here we analyzed the response to drought of two different scion/rootstock combinations presenting different polyploidy: the diploid (2x) and autotetraploid (4x) Rangpur lime (Citrus limonia, Osbeck) rootstocks grafted with 2x Valencia Delta sweet orange (Citrus sinensis) scions, named V/2xRL and V/4xRL, respectively...
2017: PloS One
https://www.readbyqxmd.com/read/28545060/signet-a-signaling-network-data-simulator-to-enable-signaling-network-inference
#12
Elizabeth A Coker, Costas Mitsopoulos, Paul Workman, Bissan Al-Lazikani
Network models are widely used to describe complex signaling systems. Cellular wiring varies in different cellular contexts and numerous inference techniques have been developed to infer the structure of a network from experimental data of the network's behavior. To objectively identify which inference strategy is best suited to a specific network, a gold standard network and dataset are required. However, suitable datasets for benchmarking are difficult to find. Numerous tools exist that can simulate data for transcriptional networks, but these are of limited use for the study of signaling networks...
2017: PloS One
https://www.readbyqxmd.com/read/28545048/a-distribution-model-of-functional-connectome-based-on-criticality-and-energy-constraints
#13
Kosuke Takagi
The analysis of the network structure of the functional connectivity data constructed from fMRI images provides basic information about functions and features of the brain activity. We focus on the two features which are considered as relevant to the brain activity, the criticality and the constraint regarding energy consumptions. Within a wide variety of complex systems, the critical state occurs associated with a phase transition between distinct phases, random one and order one. Although the hypothesis that human brain activity is also in a state of criticality is supported by some experimental results, it still remains controversial...
2017: PloS One
https://www.readbyqxmd.com/read/28545042/hierarchical-ordering-with-partial-pairwise-hierarchical-relationships-on-the-macaque-brain-data-sets
#14
Woosang Lim, Jungsoo Lee, Yongsub Lim, Doo-Hwan Bae, Haesun Park, Dae-Shik Kim, Kyomin Jung
Hierarchical organizations of information processing in the brain networks have been known to exist and widely studied. To find proper hierarchical structures in the macaque brain, the traditional methods need the entire pairwise hierarchical relationships between cortical areas. In this paper, we present a new method that discovers hierarchical structures of macaque brain networks by using partial information of pairwise hierarchical relationships. Our method uses a graph-based manifold learning to exploit inherent relationship, and computes pseudo distances of hierarchical levels for every pair of cortical areas...
2017: PloS One
https://www.readbyqxmd.com/read/28545038/assessing-the-facilitators-and-barriers-of-interdisciplinary-team-working-in-primary-care-using-normalisation-process-theory-an-integrative-review
#15
Pauline O'Reilly, Siew Hwa Lee, Madeleine O'Sullivan, Walter Cullen, Catriona Kennedy, Anne MacFarlane
BACKGROUND: Interdisciplinary team working is of paramount importance in the reform of primary care in order to provide cost-effective and comprehensive care. However, international research shows that it is not routine practice in many healthcare jurisdictions. It is imperative to understand levers and barriers to the implementation process. This review examines interdisciplinary team working in practice, in primary care, from the perspective of service providers and analyses 1 barriers and facilitators to implementation of interdisciplinary teams in primary care and 2 the main research gaps...
2017: PloS One
https://www.readbyqxmd.com/read/28544994/12h-abstinence-induced-right-anterior-insula-network-pattern-changes-in-young-smokers
#16
Yanzhi Bi, Yajuan Zhang, Yangding Li, Dahua Yu, Kai Yuan, Jie Tian
BACKGROUND: The strong craving to smoke is a core factor of smoking abstinence that precipitates relapse. Insula plays critical roles in maintaining nicotine dependence, especially in the interoceptive awareness of craving. Despite evidence indicating a link between insula and abstinence-induced craving, less is known about the neural basis of abstinence-induced craving from the circuit level of insula. METHODS: The present study examined the effects of 12h of abstinence from smoking on the resting state functional connectivity (RSFC) of anterior (AI) and posterior insula in young smokers using a within-subject design...
May 15, 2017: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/28544891/emergence-of-ultrafast-sparsely-synchronized-rhythms-and-their-responses-to-external-stimuli-in-an-inhomogeneous-small-world-complex-neuronal-network
#17
Sang-Yoon Kim, Woochang Lim
We consider an inhomogeneous small-world network (SWN) composed of inhibitory short-range (SR) and long-range (LR) interneurons, and investigate the effect of network architecture on emergence of synchronized brain rhythms by varying the fraction of LR interneurons plong. The betweenness centralities of the LR and SR interneurons (characterizing the potentiality in controlling communication between other interneurons) are distinctly different. Hence, in view of the betweenness, SWNs we consider are inhomogeneous, unlike the "canonical" Watts-Strogatz SWN with nearly the same betweenness centralities...
April 28, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28544890/hybrid-neuro-heuristic-methodology-for-simulation-and-control-of-dynamic-systems-over-time-interval
#18
Marcin Woźniak, Dawid Połap
Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelligent techniques. The difference between them is in the way they process information. In the first case, to simulate an object in a particular state of action, we need to perform an entire process to read values of parameters. It is not very convenient for objects for which simulation takes a long time, i.e. when mathematical calculations are complicated. In the second case, an intelligent solution can efficiently help on devoted way of simulation, which enables us to simulate the object only in a situation that is necessary for a development process...
May 5, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28544882/inference-and-evolutionary-analysis-of-genome-scale-regulatory-networks-in-large-phylogenies
#19
Christopher Koch, Jay Konieczka, Toni Delorey, Ana Lyons, Amanda Socha, Kathleen Davis, Sara A Knaack, Dawn Thompson, Erin K O'Shea, Aviv Regev, Sushmita Roy
Changes in transcriptional regulatory networks can significantly contribute to species evolution and adaptation. However, identification of genome-scale regulatory networks is an open challenge, especially in non-model organisms. Here, we introduce multi-species regulatory network learning (MRTLE), a computational approach that uses phylogenetic structure, sequence-specific motifs, and transcriptomic data, to infer the regulatory networks in different species. Using simulated data from known networks and transcriptomic data from six divergent yeasts, we demonstrate that MRTLE predicts networks with greater accuracy than existing methods because it incorporates phylogenetic information...
May 24, 2017: Cell Systems
https://www.readbyqxmd.com/read/28544878/evolutionary-context-improves-regulatory-network-predictions
#20
Jonathan L Gordon, Brigida Gallone, Steven Maere, Kevin J Verstrepen
A novel algorithm harnesses phylogenetic information and facilitates a better understanding of the evolutionary divergence of gene regulation between species.
May 24, 2017: Cell Systems
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