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https://www.readbyqxmd.com/read/28088071/discrete-quasi-linear-viscoelastic-damping-analysis-of-connective-tissues-and-the-biomechanics-of-stretching
#1
Behzad Babaei, Aaron J Velasquez-Mao, Stavros Thomopoulos, Elliot L Elson, Steven D Abramowitch, Guy M Genin
The time- and frequency-dependent properties of connective tissue define their physiological function, but are notoriously difficult to characterize. Well-established tools such as linear viscoelasticity and the Fung quasi-linear viscoelastic (QLV) model impose forms on responses that can mask true tissue behavior. Here, we applied a more general discrete quasi-linear viscoelastic (DQLV) model to identify the static and dynamic time- and frequency-dependent behavior of rabbit medial collateral ligaments. Unlike the Fung QLV approach, the DQLV approach revealed that energy dissipation is elevated at a loading period of ∼10s...
December 22, 2016: Journal of the Mechanical Behavior of Biomedical Materials
https://www.readbyqxmd.com/read/28087402/accuracy-is-in-the-eyes-of-the-pathologist-the-visual-interpretive-process-and-diagnostic-accuracy-with-digital-whole-slide-images
#2
Tad T Brunyé, Ezgi Mercan, Donald L Weaver, Joann G Elmore
Digital whole slide imaging is an increasingly common medium in pathology, with application to education, telemedicine, and rendering second opinions. It has also made it possible to use eye tracking devices to explore the dynamic visual inspection and interpretation of histopathological features of tissue while pathologists review cases. Using whole slide images, the present study examined how a pathologist's diagnosis is influenced by fixed case-level factors, their prior clinical experience, and their patterns of visual inspection...
January 10, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28086751/quantifying-predictors-for-the-spatial-diffusion-of-avian-influenza-virus-in-china
#3
Lu Lu, Andrew J Leigh Brown, Samantha J Lycett
BACKGROUND: Avian influenza virus (AIV) causes both severe outbreaks and endemic disease among poultry and has caused sporadic human infections in Asia, furthermore the routes of transmission in avian species between geographic regions can be numerous and complex. Using nucleotide sequences from the internal protein coding segments of AIV, we performed a Bayesian phylogeographic study to uncover regional routes of transmission and factors predictive of the rate of viral diffusion within China...
January 13, 2017: BMC Evolutionary Biology
https://www.readbyqxmd.com/read/28081141/could-a-neuroscientist-understand-a-microprocessor
#4
Eric Jonas, Konrad Paul Kording
There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate the way it processes information...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28073789/dynamics-of-convulsive-seizure-termination-and-postictal-generalized-eeg-suppression
#5
Prisca R Bauer, Roland D Thijs, Robert J Lamberts, Demetrios N Velis, Gerhard H Visser, Else A Tolner, Josemir W Sander, Fernando H Lopes da Silva, Stiliyan N Kalitzin
It is not fully understood how seizures terminate and why some seizures are followed by a period of complete brain activity suppression, postictal generalized EEG suppression. This is clinically relevant as there is a potential association between postictal generalized EEG suppression, cardiorespiratory arrest and sudden death following a seizure. We combined human encephalographic seizure data with data of a computational model of seizures to elucidate the neuronal network dynamics underlying seizure termination and the postictal generalized EEG suppression state...
January 10, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28072870/mathematical-modeling-of-intestinal-iron-absorption-using-genetic-programming
#6
Andrea Colins, Ziomara P Gerdtzen, Marco T Nuñez, J Cristian Salgado
Iron is a trace metal, key for the development of living organisms. Its absorption process is complex and highly regulated at the transcriptional, translational and systemic levels. Recently, the internalization of the DMT1 transporter has been proposed as an additional regulatory mechanism at the intestinal level, associated to the mucosal block phenomenon. The short-term effect of iron exposure in apical uptake and initial absorption rates was studied in Caco-2 cells at different apical iron concentrations, using both an experimental approach and a mathematical modeling framework...
2017: PloS One
https://www.readbyqxmd.com/read/28072458/liana-effects-on-biomass-dynamics-strengthen-during-secondary-forest-succession
#7
Hao Ran Lai, Jefferson S Hall, Benjamin L Turner, Michiel van Breugel
Secondary forests are important carbon sinks, but their biomass dynamics vary markedly within and across landscapes. The biotic and abiotic drivers of this variation are still not well understood. We tested the effects of soil resource availability and competition by lianas on the biomass dynamics of young secondary tropical forests in Panama and assessed the extent to which liana effects were mediated by soil resource availability. Over a five year period, growth, mortality, and recruitment of woody plants of ≥1 cm diameter were monitored in 84 plots in 3-30 y-old secondary forests across the Agua Salud site in central Panama...
January 10, 2017: Ecology
https://www.readbyqxmd.com/read/28066687/how-little-is-too-much-how-transient-tumor-stromal-crosstalk-can-control-tumor-progression
#8
Christina H Stuelten
Tumorigenesis is driven by genetic and physiological alterations of tumor cells as well as by the host microenvironment. In a co-culture of breast cancer cells and fibroblasts, short term interactions between tumor cells and stromal fibroblasts increase levels of active, fibroblast derived TGF-β in the extracellular medium, which in turn induces an expanded metastatic pattern of MCF10CA1a cells. These findings suggest that the effects of stromal TGF-β on tumor cell phenotype can be modeled as a dynamical system rather than a continuous linear system...
October 2016: Journal of Clinical & Cellular Immunology
https://www.readbyqxmd.com/read/28065455/spatial-curvilinear-path-following-control-of-underactuated-auv-with-multiple-uncertainties
#9
Jianming Miao, Shaoping Wang, Zhiping Zhao, Yuan Li, Mileta M Tomovic
This paper ̇α investigates the problem of spatial curvilinear path following control of underactuated autonomous underwater vehicles (AUVs) with multiple uncertainties. Firstly, in order to design the appropriate controller, path following error dynamics model is constructed in a moving Serret-Frenet frame, and the five degrees of freedom (DOFs) dynamic model with multiple uncertainties is established. Secondly, the proposed control law is separated into kinematic controller and dynamic controller via back-stepping technique...
January 5, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28065378/difference-in-diaphragmatic-motion-during-tidal-breathing-in-a-standing-position-between-copd-patients-and-normal-subjects-time-resolved-quantitative-evaluation-using-dynamic-chest-radiography-with-flat-panel-detector-system-dynamic-x-ray-phrenicography
#10
Yoshitake Yamada, Masako Ueyama, Takehiko Abe, Tetsuro Araki, Takayuki Abe, Mizuki Nishino, Masahiro Jinzaki, Hiroto Hatabu, Shoji Kudoh
OBJECTIVES: To quantitatively compare diaphragmatic motion during tidal breathing in a standing position between chronic obstructive pulmonary disease (COPD) patients and normal subjects using dynamic chest radiography. MATERIALS AND METHODS: Thirty-nine COPD patients (35 males; age, 71.3±8.4years) and 47 normal subjects (non-smoker healthy volunteers) (20 males; age, 54.8±9.8years) underwent sequential chest radiographs during tidal breathing using dynamic chest radiography with a flat panel detector system...
February 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28064479/scaling-up-endocrine-disruption-effects-from-individuals-to-populations-outcomes-depend-on-how-many-males-a-population-needs
#11
J Wilson White, Bryan J Cole, Gary N Cherr, Richard Edward Connon, Susanne M Brander
Assessing how endocrine disrupting compounds (EDCs) affect population dynamics requires tracking males and females (and sex-reversed individuals) separately. A key component in any sex-specific model is the 'mating function' (the relationship between sex ratio and reproductive success) but this relationship is not known for any fish species. Using a model, we found that EDC effects on fish populations strongly depend upon the shape of the mating function. Additionally, masculinization is generally more detrimental to populations than feminization...
January 9, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28062244/identification-of-time-varying-neural-dynamics-from-spike-train-data-using-multiwavelet-basis-functions
#12
Song Xu, Yang Li, Qi Guo, Xiao-Feng Yang, Rosa H M Chan
BACKGROUND: Tracking the changes of neural dynamics based on neuronal spiking activities is a critical step to understand the neurobiological basis of learning from behaving animals. These dynamical neurobiological processes associated with learning are also time-varying, which makes the modeling problem challenging. NEW METHOD: We developed a novel multiwavelet-based time-varying generalized Laguerre-Volterra (TVGLV) modeling framework to study the time-varying neural dynamical systems using natural spike train data...
January 4, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28062107/diurnal-evolution-of-the-temperature-sensitivity-of-co2-efflux-in-permafrost-soils-under-control-and-warm-conditions
#13
Julien Fouché, Catherine Keller, Michel Allard, Jean Paul Ambrosi
Cryosols contain ~33% of the global soil organic carbon. Cryosol warming and permafrost degradation may enhance the CO2 release to the atmosphere through the microbial decomposition. Despite the large carbon pool, the permafrost carbon feedback on the climate remains uncertain. In this study, we aimed at better understanding the diurnal evolution of the temperature sensitivity of CO2 efflux in Cryosols. A Histic Cryosol and a Turbic Cryosol were instrumented in tussock tundra ecosystems near Salluit (Nunavik, Canada)...
January 3, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28060716/output-containment-control-of-linear-heterogeneous-multi-agent-systems-using-internal-model-principle
#14
Shan Zuo, Yongduan Song, Frank L Lewis, Ali Davoudi
This paper studies the output containment control of linear heterogeneous multi-agent systems, where the system dynamics and even the state dimensions can generally be different. Since the states can have different dimensions, standard results from state containment control do not apply. Therefore, the control objective is to guarantee the convergence of the output of each follower to the dynamic convex hull spanned by the outputs of leaders. This can be achieved by making certain output containment errors go to zero asymptotically...
January 4, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28060703/a-dataset-and-benchmarks-for-segmentation-and-recognition-of-gestures-in-robotic-surgery
#15
Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamin Bejar, Luca Zappella, Sanjeev Khudanpur, Rene Vidal, Gregory D Hager
OBJECTIVE: State-of-the-art techniques for surgical data analysis report promising results for automated skill assessment and action recognition. The contributions of many of these techniques, however, are limited to study-specific data and validation metrics, making assessment of progress across the field extremely challenging. METHODS: In this paper, we address two major problems for surgical data analysis: (1) lack of uniform shared datasets and benchmarks and (2) lack of consistent validation processes...
January 4, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28058693/alternative-solution-of-the-simplest-model-of-enzymatic-synthesis-of-nucleic-acids-by-homotopy-perturbation-method
#16
A A Fedorov, A S Berdnikov, D G Sochivko, D A Varlamov, V E Kurochkin, R V Petrov
Development of methods for obtaining approximate analytical solutions of nonlinear differential equations and their systems is a rapidly developing field of mathematical physics. Earlier, an approximate solution of the simplest system of kinetic enzymatic equations for calculating dynamics of complementary strands of nucleic acids was obtained. In this study, we consider an alternative approach to selecting the basic linear approximation of the used method, which makes it possible to obtain more accurate analytical solutions of the set problem...
November 2016: Doklady. Biochemistry and Biophysics
https://www.readbyqxmd.com/read/28057457/sustainable-theory-of-a-logistic-model-fisher-information-approach
#17
Avan Al-Saffar, Eun-Jin Kim
Information theory provides a useful tool to understand the evolution of complex nonlinear systems and their sustainability. In particular, Fisher information has been evoked as a useful measure of sustainability and the variability of dynamical systems including self-organising systems. By utilising Fisher information, we investigate the sustainability of the logistic model for different perturbations in the positive and/or negative feedback. Specifically, we consider different oscillatory modulations in the parameters for positive and negative feedback and investigate their effect on the evolution of the system and Probability Density Functions (PDFs)...
January 2, 2017: Mathematical Biosciences
https://www.readbyqxmd.com/read/28056973/conceptualizing-the-dynamics-of-workplace-stress-a-systems-based-study-of-nursing-aides
#18
Arif Jetha, Laura Kernan, Alicia Kurowski
BACKGROUND: Workplace stress is a complex phenomenon that may often be dynamic and evolving over time. Traditional linear modeling does not allow representation of recursive feedback loops among the implicated factors. The objective of this study was to develop a multidimensional system dynamics model (SDM) of workplace stress among nursing aides and conduct simulations to illustrate how changes in psychosocial perceptions and workplace factors might influence workplace stress over time...
January 5, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28056047/combining-targeted-metabolomic-data-with-a-model-of-glucose-metabolism-toward-progress-in-chondrocyte-mechanotransduction
#19
Daniel Salinas, Cody A Minor, Ross P Carlson, Carley N McCutchen, Brendan M Mumey, Ronald K June
Osteoarthritis is a debilitating disease likely involving altered metabolism of the chondrocytes in articular cartilage. Chondrocytes can respond metabolically to mechanical loads via cellular mechanotransduction, and metabolic changes are significant because they produce the precursors to the tissue matrix necessary for cartilage health. However, a comprehensive understanding of how energy metabolism changes with loading remains elusive. To improve our understanding of chondrocyte mechanotransduction, we developed a computational model to calculate the rate of reactions (i...
2017: PloS One
https://www.readbyqxmd.com/read/28055925/global-asymptotic-stability-and-stabilization-of-neural-networks-with-general-noise
#20
Qihe Shan, Huaguang Zhang, Zhanshan Wang, Zhao Zhang
Neural networks (NNs) in the stochastic environment were widely modeled as stochastic differential equations, which were driven by white noise, such as Brown or Wiener process in the existing papers. However, they are not necessarily the best models to describe dynamic characters of NNs disturbed by nonwhite noise in some specific situations. In this paper, general noise disturbance, which may be nonwhite, is introduced to NNs. Since NNs with nonwhite noise cannot be described by Itô integral equation, a novel modeling method of stochastic NNs is utilized...
December 29, 2016: IEEE Transactions on Neural Networks and Learning Systems
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