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https://www.readbyqxmd.com/read/28107672/a-computational-model-of-conditioning-inspired-by-drosophila-olfactory-system
#1
Faramarz Faghihi, Ahmed A Moustafa, Ralf Heinrich, Florentin Wörgötter
Recent studies have demonstrated that Drosophila melanogaster (briefly Drosophila) can successfully perform higher cognitive processes including second order olfactory conditioning. Understanding the neural mechanism of this behavior can help neuroscientists to unravel the principles of information processing in complex neural systems (e.g. the human brain) and to create efficient and robust robotic systems. In this work, we have developed a biologically-inspired spiking neural network which is able to execute both first and second order conditioning...
November 23, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28107538/structural-controllability-of-temporal-networks-with-a-single-switching-controller
#2
Peng Yao, Bao-Yu Hou, Yu-Jian Pan, Xiang Li
Temporal network, whose topology evolves with time, is an important class of complex networks. Temporal trees of a temporal network describe the necessary edges sustaining the network as well as their active time points. By a switching controller which properly selects its location with time, temporal trees are used to improve the controllability of the network. Therefore, more nodes are controlled within the limited time. Several switching strategies to efficiently select the location of the controller are designed, which are verified with synthetic and empirical temporal networks to achieve better control performance...
2017: PloS One
https://www.readbyqxmd.com/read/28107476/origin-and-dispersal-history-of-two-colonial-ascidian-clades-in-the-botryllus-schlosseri-species-complex
#3
Marie L Nydam, Kirsten B Giesbrecht, Emily E Stephenson
Human-induced global warming and species introductions are rapidly altering the composition and functioning of Earth's marine ecosystems. Ascidians (Phylum Chordata, Subphylum Tunicata, Class Ascidiacea) are likely to play an increasingly greater role in marine communities. The colonial ascidian B. schlosseri is a cryptic species complex comprising five genetically divergent clades (A-E). Clade A is a global species, and Clade E has so far been identified in European waters only. Using the largest mitochondrial cytochrome oxidase I datasets yet assembled, we determine the origin and dispersal history of these species...
2017: PloS One
https://www.readbyqxmd.com/read/28107414/multifractality-and-network-analysis-of-phase-transition
#4
Longfeng Zhao, Wei Li, Chunbin Yang, Jihui Han, Zhu Su, Yijiang Zou
Many models and real complex systems possess critical thresholds at which the systems shift dramatically from one sate to another. The discovery of early-warnings in the vicinity of critical points are of great importance to estimate how far the systems are away from the critical states. Multifractal Detrended Fluctuation analysis (MF-DFA) and visibility graph method have been employed to investigate the multifractal and geometrical properties of the magnetization time series of the two-dimensional Ising model...
2017: PloS One
https://www.readbyqxmd.com/read/28107365/parenclitic-network-analysis-of-methylation-data-for-cancer-identification
#5
Alexander Karsakov, Thomas Bartlett, Artem Ryblov, Iosif Meyerov, Mikhail Ivanchenko, Alexey Zaikin
We make use of ideas from the theory of complex networks to implement a machine learning classification of human DNA methylation data, that carry signatures of cancer development. The data were obtained from patients with various kinds of cancers and represented as parenclictic networks, wherein nodes correspond to genes, and edges are weighted according to pairwise variation from control group subjects. We demonstrate that for the 10 types of cancer under study, it is possible to obtain a high performance of binary classification between cancer-positive and negative samples based on network measures...
2017: PloS One
https://www.readbyqxmd.com/read/28106803/opportunistic-capacity-based-resource-allocation-for-chunk-based-multi-carrier-cognitive-radio-sensor-networks
#6
Jie Huang, Xiaoping Zeng, Xin Jian, Xiaoheng Tan, Qi Zhang
The spectrum allocation for cognitive radio sensor networks (CRSNs) has received considerable research attention under the assumption that the spectrum environment is static. However, in practice, the spectrum environment varies over time due to primary user/secondary user (PU/SU) activity and mobility, resulting in time-varied spectrum resources. This paper studies resource allocation for chunk-based multi-carrier CRSNs with time-varied spectrum resources. We present a novel opportunistic capacity model through a continuous time semi-Markov chain (CTSMC) to describe the time-varied spectrum resources of chunks and, based on this, a joint power and chunk allocation model by considering the opportunistically available capacity of chunks is proposed...
January 18, 2017: Sensors
https://www.readbyqxmd.com/read/28106223/next-generation-of-network-medicine-interdisciplinary-signaling-approaches
#7
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
#8
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
#9
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
#10
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
#11
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/28105946/a-physarum-inspired-prize-collecting-steiner-tree-approach-to-identify-subnetworks-for-drug-repositioning
#12
Yahui Sun, Pathima Nusrath Hameed, Karin Verspoor, Saman Halgamuge
BACKGROUND: Drug repositioning can reduce the time, costs and risks of drug development by identifying new therapeutic effects for known drugs. It is challenging to reposition drugs as pharmacological data is large and complex. Subnetwork identification has already been used to simplify the visualization and interpretation of biological data, but it has not been applied to drug repositioning so far. In this paper, we fill this gap by proposing a new Physarum-inspired Prize-Collecting Steiner Tree algorithm to identify subnetworks for drug repositioning...
December 5, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28105915/spectral-consensus-strategy-for-accurate-reconstruction-of-large-biological-networks
#13
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
BACKGROUND: The last decades witnessed an explosion of large-scale biological datasets whose analyses require the continuous development of innovative algorithms. Many of these high-dimensional datasets are related to large biological networks with few or no experimentally proven interactions. A striking example lies in the recent gut bacterial studies that provided researchers with a plethora of information sources. Despite a deeper knowledge of microbiome composition, inferring bacterial interactions remains a critical step that encounters significant issues, due in particular to high-dimensional settings, unknown gut bacterial taxa and unavoidable noise in sparse datasets...
December 13, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28105768/supramolecular-polymer-network-mediated-self-assembly-of-semicrystalline-polymers-with-excellent-crystalline-performance
#14
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/28104922/volumetric-doppler-angle-correction-for-ultrahigh-resolution-optical-coherence-doppler-tomography
#15
Jiang You, Ang Li, Congwu Du, Yingtian Pan
Ultrahigh-resolution optical coherence Doppler tomography (μODT) demonstrates great potential for quantitative blood flow imaging owing to its large field of view and capillary resolution. However, μODT only detects the axial flow velocity and requires Doppler angle correction to retrieve the absolute velocity. Although methods for Doppler angle tracking of single or few large vessels have been reported, a method that enables angle correction of the entire 3D microvascular networks remains a challenge. Here, we present a method based on eigenvalue analysis of 3D Hessian matrix to retrieve the orientation of each tubular vessel...
January 2, 2017: Applied Physics Letters
https://www.readbyqxmd.com/read/28104617/staphylococcus-aureus-pathogenesis-in-diverse-host-environments
#16
Divya Balasubramanian, Lamia Harper, Bo Shopsin, Victor J Torres
Staphylococcus aureus (S. aureus) is an eminent human pathogen that can colonize the human host and cause severe, life-threatening illnesses. This bacterium can reside in and infect a wide range of host tissues, ranging from superficial surfaces like the skin to deeper tissues such as in the gastrointestinal tract, heart and bones. Due to its multifaceted lifestyle, S. aureus uses complex regulatory networks to sense diverse signals that enable it to adapt to different environments and modulate virulence. In this mini-review, we explore well-characterized environmental and host cues that S...
January 18, 2017: Pathogens and Disease
https://www.readbyqxmd.com/read/28104365/mitochondrial-dysfunction-and-mitochondrial-dynamics-the-cancer-connection
#17
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
#18
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
#19
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/28103887/microrna-expression-patterns-and-signalling-pathways-in-the-development-and-progression-of-childhood-solid-tumours
#20
REVIEW
Anna L Leichter, Michael J Sullivan, Michael R Eccles, Aniruddha Chatterjee
The development of childhood solid tumours is tied to early developmental processes. These tumours may be complex and heterogeneous, and elucidating the aberrant mechanisms that alter the early embryonic environment and lead to disease is essential to our understanding of how these tumours function. MicroRNAs (miRNAs) are vital regulators of gene expression at all stages of development, and their crosstalk via developmental signalling pathways is essential for orchestrating regulatory control in processes such as proliferation, differentiation and apoptosis of cells...
January 19, 2017: Molecular Cancer
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