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https://www.readbyqxmd.com/read/28441739/the-use-of-immus-in-a-water-environment-instrument-validation-and-application-of-3d-multi-body-kinematic-analysis-in-medicine-and-sport
#1
Anna Lisa Mangia, Matteo Cortesi, Silvia Fantozzi, Andrea Giovanardi, Davide Borra, Giorgio Gatta
The aims of the present study were the instrumental validation of inertial-magnetic measurements units (IMMUs) in water, and the description of their use in clinical and sports aquatic applications applying customized 3D multi-body models. Firstly, several tests were performed to map the magnetic field in the swimming pool and to identify the best volume for experimental test acquisition with a mean dynamic orientation error lower than 5°. Successively, the gait and the swimming analyses were explored in terms of spatiotemporal and joint kinematics variables...
April 22, 2017: Sensors
https://www.readbyqxmd.com/read/28440374/electrotunable-lubricity-with-ionic-liquids-the-influence-of-nanoscale-roughness
#2
Alessio David, Oscar Y Fajardo, Alexei A Kornyshev, Michael Urbakh, Fernando Bresme
The properties of ionic liquids can be modified by applying an external electrostatic potential, providing a route to control their performance in nanolubrication applications. Most computational studies to date have focused on the investigation of smooth surfaces. Real surfaces are generally inhomogeneous and feature roughness of different length scales. We report here a study of the possible effects that surface roughness may have on electrotunable lubricity with ionic liquids, performed here by means of non-equilibrium molecular dynamics simulations...
April 25, 2017: Faraday Discussions
https://www.readbyqxmd.com/read/28440077/molecular-dynamics-simulations-of-the-standard-leonardite-humic-acid-microscopic-analysis-of-the-structure-and-dynamics
#3
Drazen Petrov, Daniel Tunega, Martin H Gerzabek, Chris Oostenbrink
Humic substances (HS) are abundant in the environment and play an important role in a number of biogeochemical processes including microbial activity, soil aggregation, plant growth, the retention and release of nutrients, the environmental fate of pollutants and carbon storage. They are flexible, relatively small molecules forming supramolecular structures through weak interactions. Despite the great importance of understanding their behavior at the atomic level, computational modeling, a premier high-resolution technique providing great level of detail, has been surprisingly little employed to study humic substances...
April 25, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28439752/mathematical-modeling-of-cellular-cross-talk-between-endothelial-and-tumor-cells-highlights-counterintuitive-effects-of-vegf-targeted-therapies
#4
Harsh Jain, Trachette Jackson
Tumor growth and progression are critically dependent on the establishment of a vascular support system. This is often accomplished via the expression of pro-angiogenic growth factors, including members of the vascular endothelial growth factor (VEGF) family of ligands. VEGF ligands are overexpressed in a wide variety of solid tumors and therefore have inspired optimism that inhibition of the different axes of the VEGF pathway-alone or in combination-would represent powerful anti-angiogenic therapies for most cancer types...
April 24, 2017: Bulletin of Mathematical Biology
https://www.readbyqxmd.com/read/28439461/quantitative-assessment-of-fibroblast-growth-factor-receptor-1-expression-in-neurons-and-glia
#5
Lisha Choubey, Jantzen C Collette, Karen Müller Smith
BACKGROUND: Fibroblast growth factors (FGFs) and their receptors (FGFRs) have numerous functions in the developing and adult central nervous system (CNS). For example, the FGFR1 receptor is important for proliferation and fate specification of radial glial cells in the cortex and hippocampus, oligodendrocyte proliferation and regeneration, midline glia morphology and soma translocation, Bergmann glia morphology, and cerebellar morphogenesis. In addition, FGFR1 signaling in astrocytes is required for postnatal maturation of interneurons expressing parvalbumin (PV)...
2017: PeerJ
https://www.readbyqxmd.com/read/28439230/from-anxious-to-reckless-a-control-systems-approach-unifies-prefrontal-limbic-regulation-across-the-spectrum-of-threat-detection
#6
REVIEW
Lilianne R Mujica-Parodi, Jiook Cha, Jonathan Gao
Here we provide an integrative review of basic control circuits, and introduce techniques by which their regulation can be quantitatively measured using human neuroimaging. We illustrate the utility of the control systems approach using four human neuroimaging threat detection studies (N = 226), to which we applied circuit-wide analyses in order to identify the key mechanism underlying individual variation. In so doing, we build upon the canonical prefrontal-limbic control system to integrate circuit-wide influence from the inferior frontal gyrus (IFG)...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28439020/mathematical-model-of-chronic-pancreatitis
#7
Wenrui Hao, Hannah M Komar, Phil A Hart, Darwin L Conwell, Gregory B Lesinski, Avner Friedman
Chronic pancreatitis (CP) is a progressive inflammatory disease of the pancreas, leading to its fibrotic destruction. There are currently no drugs that can stop or slow the progression of the disease. The etiology of the disease is multifactorial, whereas recurrent attacks of acute pancreatitis are thought to precede the development of CP. A better understanding of the pathology of CP is needed to facilitate improved diagnosis and treatment strategies for this disease. The present paper develops a mathematical model of CP based on a dynamic network that includes macrophages, pancreatic stellate cells, and prominent cytokines that are present at high levels in the CP microenvironment...
April 24, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28438969/intracellular-in-vivo-dynamics-of-thalamocortical-synapses-in-visual-cortex
#8
Madineh Sedigh-Sarvestani, Leif Vigeland, Ivan Fernandez-Lamo, Morgan Taylor, Larry A Palmer, Diego Contreras
Seminal studies of the thalamocortical (TC) circuit in the visual system of the cat have been central to our understanding of sensory encoding. However, TC synaptic properties remain poorly understood. We used paired recordings, in the lateral geniculate nucleus (LGN) and primary visual cortex (V1), to provide the first in vivo characterization of sensory-driven TC potentials in V1. The amplitudes of EPSPs we characterized were smaller than those previously reported in vitro. Consistent with prior findings, connected LGN-V1 pairs were only found when their receptive fields (RFs) overlapped, and the probability of connection increased steeply with degree of RF overlap and response similarity...
April 24, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28438917/disease-ecology-health-and-the-environment-a-framework-to-account-for-ecological-and-socio-economic-drivers-in-the-control-of-neglected-tropical-diseases
#9
A Garchitorena, S H Sokolow, B Roche, C N Ngonghala, M Jocque, A Lund, M Barry, E A Mordecai, G C Daily, J H Jones, J R Andrews, E Bendavid, S P Luby, A D LaBeaud, K Seetah, J F Guégan, M H Bonds, G A De Leo
Reducing the burden of neglected tropical diseases (NTDs) is one of the key strategic targets advanced by the Sustainable Development Goals. Despite the unprecedented effort deployed for NTD elimination in the past decade, their control, mainly through drug administration, remains particularly challenging: persistent poverty and repeated exposure to pathogens embedded in the environment limit the efficacy of strategies focused exclusively on human treatment or medical care. Here, we present a simple modelling framework to illustrate the relative role of ecological and socio-economic drivers of environmentally transmitted parasites and pathogens...
June 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28438832/a-photoconversion-model-for-full-spectral-programming-and-multiplexing-of-optogenetic%C3%A2-systems
#10
Evan J Olson, Constantine N Tzouanas, Jeffrey J Tabor
Optogenetics combines externally applied light signals and genetically engineered photoreceptors to control cellular processes with unmatched precision. Here, we develop a mathematical model of wavelength- and intensity-dependent photoconversion, signaling, and output gene expression for our two previously engineered light-sensing Escherichia coli two-component systems. To parameterize the model, we develop a simple set of spectral and dynamical calibration experiments using our recent open-source "Light Plate Apparatus" device...
April 24, 2017: Molecular Systems Biology
https://www.readbyqxmd.com/read/28438697/predicting-drug-loading-in-pla-peg-nanoparticles
#11
M Meunier, A Goupil, P Lienard
Polymer nanoparticles present advantageous physical and biopharmaceutical properties as drug delivery systems compared to conventional liquid formulations. Active pharmaceutical ingredients (APIs) are often hydrophobic, thus not soluble in conventional liquid delivery. Encapsulating the drugs in polymer nanoparticles can improve their pharmacological and bio-distribution properties, preventing rapid clearance from the bloodstream. Such nanoparticles are commonly made of non-toxic amphiphilic self-assembling block copolymers where the core (poly-[D,L-lactic acid] or PLA) serves as a reservoir for the API and the external part (Poly-(Ethylene-Glycol) or PEG) serves as a stealth corona to avoid capture by macrophage...
April 21, 2017: International Journal of Pharmaceutics
https://www.readbyqxmd.com/read/28438526/emerging-roles-for-ncrnas-in-alcohol-use-disorders
#12
REVIEW
R Dayne Mayfield
Chronic alcohol exposure produces widespread neuroadaptations and alterations in gene expression in human alcoholics and animal models. Technological advances in the past decade have increasingly highlighted the role of non-protein-coding RNAs (ncRNAs) in the regulation of gene expression and function. These recently characterized molecules were discovered to mediate diverse processes in the central nervous system, from normal development and physiology to regulation of disease, including alcoholism and other psychiatric disorders...
April 15, 2017: Alcohol
https://www.readbyqxmd.com/read/28438102/mapping-a-careflow-network-to-assess-the-connectedness-of-connected-health
#13
Noel Carroll, Ita Richardson
Connected Health is an emerging and rapidly developing field which has the potential to transform healthcare service systems by increasing its safety, quality and overall efficiency. From a healthcare perspective, process improvement models have mainly focused on the static workflow viewpoint. The objective of this article is to study and model the dynamic nature of healthcare delivery, allowing us to identify where potential issues exist within the service system and to examine how Connected Health technological solutions may support service efficiencies...
April 1, 2017: Health Informatics Journal
https://www.readbyqxmd.com/read/28436908/a-knowledge-constrained-access-control-model-for-protecting-patient-privacy-in-hospital-information-systems
#14
Runtong Zhang, Donghua Chen, Xiaopu Shang, Xiaomin Zhu, Kecheng Liu
Current access control mechanisms of the hospital information system can hardly identify the real access intention of system users. A relaxed access control increases the risk of compromise of patient privacy. To reduce unnecessary access of patient information by hospital staff, this paper proposes a Knowledge-Constrained Role-Based Access Control (KC-RBAC) model in which a variety of medical domain knowledge is considered in access control. Based on the proposed Purpose Tree and knowledge-involved algorithms, the model can dynamically define the boundary of access to the patient information according to the context, which helps protect patient privacy by controlling access...
April 24, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28436906/nonlinear-decoupling-control-with-anfis-based-unmodeled-dynamics-compensation-for-a-class-of-complex-industrial-processes
#15
Yajun Zhang, Tianyou Chai, Hong Wang, Dianhui Wang, Xinkai Chen
Complex industrial processes are multivariable and generally exhibit strong coupling among their control loops with heavy nonlinear nature. These make it very difficult to obtain an accurate model. As a result, the conventional and data-driven control methods are difficult to apply. Using a twin-tank level control system as an example, a novel multivariable decoupling control algorithm with adaptive neural-fuzzy inference system (ANFIS)-based unmodeled dynamics (UD) compensation is proposed in this paper for a class of complex industrial processes...
April 24, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436891/off-policy-reinforcement-learning-for-synchronization-in-multiagent-graphical-games
#16
Jinna Li, Hamidreza Modares, Tianyou Chai, Frank L Lewis, Lihua Xie
This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete knowledge of agent dynamics, the proposed off-policy RL algorithm is a model-free approach, in that it solves the optimal synchronization problem without knowing any knowledge of the agent dynamics. A prescribed control policy, called behavior policy, is applied to each agent to generate and collect data for learning...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436866/universal-multimode-background-subtraction
#17
Hasan Sajid, Sen-Ching Samson Cheung
In this paper, we present a complete change detection system named Multimode Background Subtraction (MBS). The universal nature of system allows it to robustly handle multitude of challenges associated with video change detection such as illumination changes, dynamic background, camera jitter, moving camera etc. The system comprises of multiple innovative mechanisms in background modeling, model update, pixel classification and the use of multiple color spaces. The system first creates multiple background models of the scene followed by an initial foreground/background probability estimation for each pixel...
April 19, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28436840/a-parametric-computational-model-of-the-action-potential-of-pacemaker-cells
#18
Weiwei Ai, Nitish Patel, Partha Roop, Avinash Malik, Sidharta Andalam, Eugene Yip, Nathan Allen, Mark Trew
OBJECTIVE: A flexible, efficient and verifiable pacemaker cell model is essential to the design of real-time virtual hearts that can be used for closed-loop validation of cardiac devices. A new parametric model of pacemaker action potential is developed to address this need. METHODS: The action potential phases are modeled using hybrid automaton (HA) with one piecewise-linear continuous variable. The model can capture ratedependent dynamics, such as action potential duration (APD) restitution, conduction velocity (CV) restitution, and overdrive suppression by incorporating non-linear update functions...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28436518/solution-behaviour-of-poly-n-isopropylacrylamide-stereoisomers-in-water-a-molecular-dynamics-simulation-study
#19
G Paradossi, E Chiessi
The water affinity of poly(N-isopropylacrylamide), PNIPAM, is tuned by tacticity, since the hydrophobicity rises with the increase of the degree of isotacticity. On the basis of this experimental evidence, atomistic molecular dynamics simulations of pairs of PNIPAM stereoisomers in 1.6% w/w polymer aqueous solution, a condition intermediate between the dilute and semidilute regimes, were carried out to comparatively investigate the solution behaviour and hydration of atactic and isotactic-rich PNIPAMs, both below and above the lower critical solution temperature, LCST...
April 24, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28436417/energy-scaling-of-targeted-optimal-control-of-complex-networks
#20
Isaac Klickstein, Afroza Shirin, Francesco Sorrentino
Recently it has been shown that the control energy required to control a dynamical complex network is prohibitively large when there are only a few control inputs. Most methods to reduce the control energy have focused on where, in the network, to place additional control inputs. Here, in contrast, we show that by controlling the states of a subset of the nodes of a network, rather than the state of every node, while holding the number of control signals constant, the required energy to control a portion of the network can be reduced substantially...
April 24, 2017: Nature Communications
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