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https://www.readbyqxmd.com/read/28106837/a-distributed-and-energy-efficient-algorithm-for-event-k-coverage-in-underwater-sensor-networks
#1
Peng Jiang, Yiming Xu, Jun Liu
For event dynamic K-coverage algorithms, each management node selects its assistant node by using a greedy algorithm without considering the residual energy and situations in which a node is selected by several events. This approach affects network energy consumption and balance. Therefore, this study proposes a distributed and energy-efficient event K-coverage algorithm (DEEKA). After the network achieves 1-coverage, the nodes that detect the same event compete for the event management node with the number of candidate nodes and the average residual energy, as well as the distance to the event...
January 19, 2017: Sensors
https://www.readbyqxmd.com/read/28106823/integrated-microrna-mrna-profiling-identifies-oncostatin-m-as-a-marker-of-mesenchymal-like-er-negative-her2-negative-breast-cancer
#2
Giulia Bottai, Lixia Diao, Keith A Baggerly, Laura Paladini, Balázs Győrffy, Carlotta Raschioni, Lajos Pusztai, George A Calin, Libero Santarpia
MicroRNAs (miRNAs) simultaneously modulate different oncogenic networks, establishing a dynamic system of gene expression and pathway regulation. In this study, we analyzed global miRNA and messenger RNA (mRNA) expression profiles of 17 cell lines representing different molecular breast cancer subtypes. Spearman's rank correlation test was used to evaluate the correlation between miRNA and mRNA expression. Hierarchical clustering and pathway analysis were also performed. Publicly available gene expression profiles (n = 699) and tumor tissues (n = 80) were analyzed to assess the relevance of key miRNA-regulated pathways in human breast cancer...
January 19, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28106418/spatiotemporal-dynamics-and-reliable-computations-in-recurrent-spiking-neural-networks
#3
Ryan Pyle, Robert Rosenbaum
Randomly connected networks of excitatory and inhibitory spiking neurons provide a parsimonious model of neural variability, but are notoriously unreliable for performing computations. We show that this difficulty is overcome by incorporating the well-documented dependence of connection probability on distance. Spatially extended spiking networks exhibit symmetry-breaking bifurcations and generate spatiotemporal patterns that can be trained to perform dynamical computations under a reservoir computing framework...
January 6, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28106350/thermally-adjustable-dynamic-disulfide-linkages-mediated-by-highly-air-stable-2-2-6-6-tetramethylpiperidine-1-sulfanyl-temps-radicals
#4
Akira Takahashi, Raita Goseki, Hideyuki Otsuka
Intrinsically exchangeable dynamic covalent bonds that can be triggered by readily usable stimuli offer easy incorporation of their dynamic properties in various molecular systems, but the library of such bonds is still being developed. Herein, we report the dynamic covalent chemistry of 2,2,6,6-tetramethylpiperidine-1-sulfanyl (TEMPS) dimers derived from thermally reversible homolytic dissociation of disulfide linkages. High air stability of TEMPS was observed even at 100 °C, affording facile employment of thermal dissociation-association equilibria and adjustable bond exchange properties under atmospheric conditions...
January 20, 2017: Angewandte Chemie
https://www.readbyqxmd.com/read/28106290/returning-to-normal-assessing-transcriptome-recovery-over-time-in-male-rainbow-darter-etheostoma-caeruleum-liver-in-response-to-wastewater-treatment-plant-upgrades
#5
Patricija Marjan, Christopher J Martyniuk, Meghan L M Fuzzen, Deborah L MacLatchy, Mark E McMaster, Mark R Servos
The present study measured hepatic transcriptome responses in male rainbow darter (Etheostoma caeruleum) exposed to 2 municipal wastewater treatment plants (MWWTPs) (Kitchener and Waterloo) over 4 fall seasons (2011 - 2014) in the Grand River Ontario. The overall goal was to determine if upgrades at the Kitchener MWWTP (in 2012) resulted in transcriptome responses indicative of improved effluent quality. The number of differentially expressed probes in fish downstream of the Kitchener outfall (904-1,223), remained comparable to that downstream of Waterloo (767-3,867)...
January 20, 2017: Environmental Toxicology and Chemistry
https://www.readbyqxmd.com/read/28106223/next-generation-of-network-medicine-interdisciplinary-signaling-approaches
#6
REVIEW
Tamas Korcsmaros, Maria Victoria Schneider, Giulio Superti-Furga
In the last decade, network approaches have transformed our understanding of biological systems. Network analyses and visualizations have allowed us to identify essential molecules and modules in biological systems, and improved our understanding of how changes in cellular processes can lead to complex diseases, such as cancer, infectious and neurodegenerative diseases. "Network medicine" involves unbiased large-scale network-based analyses of diverse data describing interactions between genes, diseases, phenotypes, drug targets, drug transport, drug side-effects, disease trajectories and more...
January 20, 2017: Integrative Biology: Quantitative Biosciences From Nano to Macro
https://www.readbyqxmd.com/read/28106139/spatio-temporal-tolerance-of-visuo-tactile-illusions-in-artificial-skin-by-recurrent-neural-network-with-spike-timing-dependent-plasticity
#7
Alexandre Pitti, Ganna Pugach, Philippe Gaussier, Sotaro Shimada
Perceptual illusions across multiple modalities, such as the rubber-hand illusion, show how dynamic the brain is at adapting its body image and at determining what is part of it (the self) and what is not (others). Several research studies showed that redundancy and contingency among sensory signals are essential for perception of the illusion and that a lag of 200-300 ms is the critical limit of the brain to represent one's own body. In an experimental setup with an artificial skin, we replicate the visuo-tactile illusion within artificial neural networks...
January 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28106109/center-of-mass-in-complex-networks
#8
Chuanji Fu, Yachun Gao, Shimin Cai, Hongchun Yang, Chun Yang
Network dynamics is always a big challenge in nonlinear dynamics. Although great advancements have been made in various types of complex systems, an universal theoretical framework is required. In this paper, we introduce the concept of center of 'mass' of complex networks, where 'mass' stands for node importance or centrality in contrast to that of particle systems, and further prove that the phase transition and evolutionary state of the system can be characterized by the activity of center of 'mass'. The steady states of several complex networks (gene regulatory networks and epidemic spreading systems) are then studied by analytically calculating the decoupled equation of the dynamic activity of center of 'mass', which is derived from the dynamic equation of the complex networks...
January 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28106087/dynamical-states-possibilities-and-propagation-of-stress-signal
#9
Md Zubbair Malik, Shahnawaz Ali, Soibam Shyamchand Singh, Romana Ishrat, R K Brojen Singh
The stress driven dynamics of Notch-Wnt-p53 cross-talk is subjected to a few possible dynamical states governed by simple fractal rules, and allowed to decide its own fate by choosing one of these states which are contributed from long range correlation with varied fluctuations due to active molecular interaction. The topological properties of the networks corresponding to these dynamical states have hierarchical features with assortive structure. The stress signal driven by nutlin and modulated by mediator GSK3 acts as anti-apoptotic signal in this system, whereas, the stress signal driven by Axin and modulated by GSK3 behaves as anti-apoptotic for a certain range of Axin and GSK3 interaction, and beyond which the signal acts as favor-apoptotic signal...
January 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28106056/investigation-of-changes-in-structure-and-thermodynamic-of-spruce-budworm-antifreeze-protein-under-subfreezing-temperature
#10
Hung Nguyen, Ly Le
The aim of this theoretical work is to investigate of the changes in structure and thermodynamics of spruce budworm antifreeze protein (sbAFP) at low temperatures by using molecular dynamics simulation. The aqueous solution will form ice crystal network under the vaguely hexagonal shape at low temperature and fully represented the characteristics of hydrophobic interaction. Like ice crystal network, the cyclohexane region (including cyclohexane molecules) have enough of the characteristics of hydrophobic interaction...
January 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28105768/supramolecular-polymer-network-mediated-self-assembly-of-semicrystalline-polymers-with-excellent-crystalline-performance
#11
Chih-Chia Cheng, Wei-Tsung Chuang, Duu-Jong Lee, Zhong Xin, Chih-Wei Chiu
A novel application of supramolecular interactions within semicrystalline polymers, capable of self-assembling into supramolecular polymer networks via self-complementary multiple hydrogen-bonded complexes, is demonstrated for efficient construction of highly controlled self-organizing hierarchical structures to offer a direct, efficient nucleation pathway resulting in superior crystallization performance. Herein, a novel functionalized poly(ε-caprolactone) containing self-complementary sextuple hydrogen-bonded uracil-diamidopyridine (U-DPy) moieties is successfully developed and demonstrated excellent thermal and viscoelastic properties as well as high dynamic structural stability in the bulk state due to physical cross-linking created by reversible sextuple hydrogen bonding between U-DPy units...
January 20, 2017: Macromolecular Rapid Communications
https://www.readbyqxmd.com/read/28104411/brain-and-cognitive-reserve-translation-via-network-control-theory
#12
REVIEW
John Dominic Medaglia, Fabio Pasqualetti, Roy H Hamilton, Sharon L Thompson-Schill, Danielle S Bassett
Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis for substantive advances in understanding functional resilience in the human brain. In this perspective, we describe recent theoretical approaches from network control theory as a framework for investigating network level mechanisms underlying cognitive function and the dynamics of neuroplasticity in the human brain...
January 16, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28104365/mitochondrial-dysfunction-and-mitochondrial-dynamics-the-cancer-connection
#13
REVIEW
Satish Srinivasan, Manti Guha, Anna Kashina, Narayan G Avadhani
Mitochondrial dysfunction is a hallmark of many diseases. The retrograde signaling initiated by dysfunctional mitochondria can bring about global changes in gene expression that alters cell morphology and function. Typically, this is attributed to disruption of important mitochondrial functions, such as ATP production, integration of metabolism, calcium homeostasis and regulation of apoptosis. Recent studies showed that in addition to these factors, mitochondrial dynamics might play an important role in stress signaling...
January 16, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28104328/isotopic-constraints-on-water-source-mixing-network-leakage-and-contamination-in-an-urban-groundwater-system
#14
F Grimmeisen, M F Lehmann, T Liesch, N Goeppert, J Klinger, J Zopfi, N Goldscheider
Water supply in developing countries is prone to large water losses due to leaky distribution networks and defective sewers, which may affect groundwater quality and quantity in urban areas and result in complex subsurface mixing dynamics. In this study, a multi-stable isotope approach was used to investigate spatiotemporal fluctuations of surface and sub-surface water source partitioning and mixing, and to assess nitrogen (N) contamination in the urban water cycle of As-Salt, Jordan. Water import from the King Abdullah Canal (KAC), mains waters from the network, and wastewater are characterized by distinct isotopic signatures, which allowed us to quantify city effluents into the groundwater...
January 16, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28103925/protocol-for-a-realist-review-of-workplace-learning-in-postgraduate-medical-education-and-training
#15
Anel Wiese, Caroline Kilty, Colm Bergin, Patrick Flood, Na Fu, Mary Horgan, Agnes Higgins, Bridget Maher, Grainne O'Kane, Lucia Prihodova, Dubhfeasa Slattery, Deirdre Bennett
BACKGROUND: Postgraduate medical education and training (PGMET) is a complex social process which happens predominantly during the delivery of patient care. The clinical learning environment (CLE), the context for PGMET, shapes the development of the doctors who learn and work within it, ultimately impacting the quality and safety of patient care. Clinical workplaces are complex, dynamic systems in which learning emerges from non-linear interactions within a network of related factors and activities...
January 19, 2017: Systematic Reviews
https://www.readbyqxmd.com/read/28103880/the-use-of-genome-scale-metabolic-network-reconstruction-to-predict-fluxes-and-equilibrium-composition-of-n-fixing-versus-c-fixing-cells-in-a-diazotrophic-cyanobacterium-trichodesmium-erythraeum
#16
Joseph J Gardner, Nanette R Boyle
BACKGROUND: Computational, genome based predictions of organism phenotypes has enhanced the ability to investigate the biological phenomena that help organisms survive and respond to their environments. In this study, we have created the first genome-scale metabolic network reconstruction of the nitrogen fixing cyanobacterium T. erythraeum and used genome-scale modeling approaches to investigate carbon and nitrogen fluxes as well as growth and equilibrium population composition. RESULTS: We created a genome-scale reconstruction of T...
January 19, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28103666/molecular-dynamics-simulations-reveal-isoform-specific-contact-dynamics-between-the-plexin-rho-gtpase-binding-domain-rbd-and-small-rho-gtpases-rac1-and-rnd1
#17
Liqun Zhang, Matthias Buck
The Plexin family of transmembrane receptors are unique in that their intracellular region interacts directly with small GTPases of the Rho family. The Rho GTPase Binding Domain of plexin (RBD) -that is responsible for these interactions- can bind with Rac1 as well as Rnd1 GTPases. GTPase complexes have been crystallized with the RBDs of plexinA1, -A2 and -B1. The protein association is thought to elicit different functional responses, possibly in a GTPase/plexin isoform specific manner. In this project, we investigated complexes between several RBD and Rac1/Rnd1 GTPases using multi-microsecond length all atom molecular dynamics simulations, also with reference to the free forms of the RBDs and GTPases...
January 19, 2017: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/28103567/predictive-control-of-networked-multiagent-systems-via-cloud-computing
#18
Guo-Ping Liu
This paper studies the design and analysis of networked multiagent predictive control systems via cloud computing. A cloud predictive control scheme for networked multiagent systems (NMASs) is proposed to achieve consensus and stability simultaneously and to compensate for network delays actively. The design of the cloud predictive controller for NMASs is detailed. The analysis of the cloud predictive control scheme gives the necessary and sufficient conditions of stability and consensus of closed-loop networked multiagent control systems...
January 18, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28103527/distinct-cortico-striatal-connections-with-subthalamic-nucleus-underlie-facets-of-compulsivity
#19
Laurel S Morris, Kwangyeol Baek, Valerie Voon
The capacity to flexibly respond to contextual changes is crucial to adapting to a dynamic environment. Compulsivity, or behavioural inflexibility, consists of heterogeneous subtypes with overlapping yet discrete neural substrates. The subthalamic nucleus (STN) mediates the switch from automatic to controlled processing to slow, break or stop behaviour when necessary. Rodent STN lesions or inactivation are linked with perseveration or repetitive, compulsive responding. However, there are few studies examining the role of latent STN-centric neural networks and compulsive behaviour in healthy individuals...
December 29, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28103483/dynamic-interaction-between-reinforcement-learning-and-attention-in-multidimensional-environments
#20
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv
Little is known about the relationship between attention and learning during decision making. Using eye tracking and multivariate pattern analysis of fMRI data, we measured participants' dimensional attention as they performed a trial-and-error learning task in which only one of three stimulus dimensions was relevant for reward at any given time. Analysis of participants' choices revealed that attention biased both value computation during choice and value update during learning. Value signals in the ventromedial prefrontal cortex and prediction errors in the striatum were similarly biased by attention...
January 18, 2017: Neuron
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