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https://www.readbyqxmd.com/read/28527626/the-impact-of-economic-conditions-on-the-disablement-process-a-markov-transition-approach-using-share-data
#1
Y Arrighi, T Rapp, N Sirven
A growing number of studies underline the relationship between socioeconomic status and health at older ages. Following that literature, we explore the impact of economic conditions on changes in functional health overtime. Frailty, a state of physiological instability, has been identified in the public health literature as a candidate for disability prevention but received little attention from health economists. Using SHARE panel data, respondents aged 50 and over from ten European countries were categorised as robust, frail and dependent...
May 10, 2017: Health Policy
https://www.readbyqxmd.com/read/28527448/estimating-thermodynamic-expectations-and-free-energies-in-expanded-ensemble-simulations-systematic-variance-reduction-through-conditioning
#2
Manuel Athènes, Pierre Terrier
Markov chain Monte Carlo methods are primarily used for sampling from a given probability distribution and estimating multi-dimensional integrals based on the information contained in the generated samples. Whenever it is possible, more accurate estimates are obtained by combining Monte Carlo integration and integration by numerical quadrature along particular coordinates. We show that this variance reduction technique, referred to as conditioning in probability theory, can be advantageously implemented in expanded ensemble simulations...
May 21, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/28524088/a-hybrid-generalized-hidden-markov-model-based-condition-monitoring-approach-for-rolling-bearings
#3
Jie Liu, Youmin Hu, Bo Wu, Yan Wang, Fengyun Xie
The operating condition of rolling bearings affects productivity and quality in the rotating machine process. Developing an effective rolling bearing condition monitoring approach is critical to accurately identify the operating condition. In this paper, a hybrid generalized hidden Markov model-based condition monitoring approach for rolling bearings is proposed, where interval valued features are used to efficiently recognize and classify machine states in the machine process. In the proposed method, vibration signals are decomposed into multiple modes with variational mode decomposition (VMD)...
May 18, 2017: Sensors
https://www.readbyqxmd.com/read/28507514/markovian-analysis-of-the-sequential-behavior-of-the-spontaneous-spinal-cord-dorsum-potentials-induced-by-acute-nociceptive-stimulation-in-the-anesthetized-cat
#4
Mario Martin, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Enrique Contreras-Hernández, Silvio Glusman, Ulises Cortés, Pablo Rudomín
In a previous study we developed a Machine Learning procedure for the automatic identification and classification of spontaneous cord dorsum potentials (CDPs). This study further supported the proposal that in the anesthetized cat, the spontaneous CDPs recorded from different lumbar spinal segments are generated by a distributed network of dorsal horn neurons with structured (non-random) patterns of functional connectivity and that these configurations can be changed to other non-random and stable configurations after the noceptive stimulation produced by the intradermic injection of capsaicin in the anesthetized cat...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28505138/estimating-density-and-temperature-dependence-of-juvenile-vital-rates-using-a-hidden-markov-model
#5
Robert M McElderry
Organisms in the wild have cryptic life stages that are sensitive to changing environmental conditions and can be difficult to survey. In this study, I used mark-recapture methods to repeatedly survey Anaea aidea (Nymphalidae) caterpillars in nature, then modeled caterpillar demography as a hidden Markov process to assess if temporal variability in temperature and density influence the survival and growth of A. aidea over time. Individual encounter histories result from the joint likelihood of being alive and observed in a particular stage, and I have included hidden states by separating demography and observations into parallel and independent processes...
May 15, 2017: Insects
https://www.readbyqxmd.com/read/28504948/substructural-regularization-with-data-sensitive-granularity-for-sequence-transfer-learning
#6
Shichang Sun, Hongbo Liu, Jiana Meng, C L Philip Chen, Yu Yang
Sequence transfer learning is of interest in both academia and industry with the emergence of numerous new text domains from Twitter and other social media tools. In this paper, we put forward the data-sensitive granularity for transfer learning, and then, a novel substructural regularization transfer learning model (STLM) is proposed to preserve target domain features at substructural granularity in the light of the condition of labeled data set size. Our model is underpinned by hidden Markov model and regularization theory, where the substructural representation can be integrated as a penalty after measuring the dissimilarity of substructures between target domain and STLM with relative entropy...
May 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28496407/unsupervised-idealization-of-ion-channel-recordings-by-minimum-description-length-application-to-human-piezo1-channels
#7
Radhakrishnan Gnanasambandam, Morten S Nielsen, Christopher Nicolai, Frederick Sachs, Johannes P Hofgaard, Jakob K Dreyer
Researchers can investigate the mechanistic and molecular basis of many physiological phenomena in cells by analyzing the fundamental properties of single ion channels. These analyses entail recording single channel currents and measuring current amplitudes and transition rates between conductance states. Since most electrophysiological recordings contain noise, the data analysis can proceed by idealizing the recordings to isolate the true currents from the noise. This de-noising can be accomplished with threshold crossing algorithms and Hidden Markov Models, but such procedures generally depend on inputs and supervision by the user, thus requiring some prior knowledge of underlying processes...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28493924/cognitive-function-in-multiple-sclerosis-improves-with-telerehabilitation-results-from-a-randomized-controlled-trial
#8
Leigh E Charvet, Jie Yang, Michael T Shaw, Kathleen Sherman, Lamia Haider, Jianjin Xu, Lauren B Krupp
Cognitive impairment affects more than half of all individuals living with multiple sclerosis (MS). We hypothesized that training at home with an adaptive online cognitive training program would have greater cognitive benefit than ordinary computer games in cognitively-impaired adults with MS. This was a double-blind, randomized, active-placebo-controlled trial. Participants with MS were recruited through Stony Brook Medicine and randomly assigned to either the adaptive cognitive remediation (ACR) program or active control of ordinary computer games for 60 hours over 12 weeks...
2017: PloS One
https://www.readbyqxmd.com/read/28493042/on-the-stochastic-evolution-of-finite-populations
#9
Fabio A C C Chalub, Max O Souza
This work is a systematic study of discrete Markov chains that are used to describe the evolution of a two-types population. Motivated by results valid for the well-known Moran (M) and Wright-Fisher (WF) processes, we define a general class of Markov chains models which we term the Kimura class. It comprises the majority of the models used in population genetics, and we show that many well-known results valid for M and WF processes are still valid in this class. In all Kimura processes, a mutant gene will either fixate or become extinct, and we present a necessary and sufficient condition for such processes to have the probability of fixation strictly increasing in the initial frequency of mutants...
May 10, 2017: Journal of Mathematical Biology
https://www.readbyqxmd.com/read/28488390/mesenchymal-stem-cells-protect-from-acute-liver-injury-by-attenuating-hepatotoxicity-of-liver-nkt-cells-in-inos-and-ido-dependent-manner
#10
Marina Gazdic, Bojana Simovic Markovic, Ljubica Vucicevic, Tamara Nikolic, Valentin Djonov, Nebojsa Arsenijevic, Vladimir Trajkovic, Miodrag L Lukic, Vladislav Volarevic
The effects of mesenchymal stem cells (MSCs) on phenotype and function of natural killer T (NKT) cells, is not understood. We used concanavalin A (ConA) - and α-galactosylceramide (α-GalCer)-induced liver injury to evaluate effects of MSCs on NKT-dependent hepatotoxicity. Mouse MSCs (mMSCs) significantly reduced Con A- and α-GalCer-mediated hepatitis in C57Bl/6 mice, as demonstrated by histopathological and biochemical analysis, attenuated influx of inflammatory (T-bet(+) TNF-α, IFN-γ producing and GATA3(+) , IL-4-producing) liver NKT cells and down-regulated TNF-α, IFN-γ and IL-4 levels in the sera...
May 9, 2017: Journal of Tissue Engineering and Regenerative Medicine
https://www.readbyqxmd.com/read/28482111/conditional-adaptive-bayesian-spectral-analysis-of-nonstationary-biomedical-time-series
#11
Scott A Bruce, Martica H Hall, Daniel J Buysse, Robert T Krafty
Many studies of biomedical time series signals aim to measure the association between frequency-domain properties of time series and clinical and behavioral covariates. However, the time-varying dynamics of these associations are largely ignored due to a lack of methods that can assess the changing nature of the relationship through time. This article introduces a method for the simultaneous and automatic analysis of the association between the time-varying power spectrum and covariates, which we refer to as conditional adaptive Bayesian spectrum analysis (CABS)...
May 8, 2017: Biometrics
https://www.readbyqxmd.com/read/28481005/mesenchymal-stem-cells-attenuate-acute-liver-injury-by-altering-ratio-between-il-17-producing-and-regulatory-nkt-cells
#12
Neda Milosavljevic, Marina Gazdic, Bojana Simovic Markovic, Aleksandar Arsenijevic, Jasmin Nurkovic, Zana Dolicanin, Valentin Djonov, Miodrag L Lukic, Vladislav Volarevic
Mesenchymal stem cells (MSCs) are, due to immunomodulatory characteristics, considered as novel agents in the treatment of immune-mediated acute liver failure. Although it is known that MSCs can regulate activation of T lymphocytes, their capacity to modulate function of neutrophils and NKT cells, major interleukin (IL)-17 producing cells in acute liver injury, is still unknown. By using two well established murine models of neutrophil and NKT cell mediated acute liver failure (induced by Carbon tetrachloride (CCl4 ) and alphagalactoceramide (α-GalCer)), we investigated molecular and cellular mechanisms involved in MSC-mediated modulation of IL-17 signaling during acute liver injury...
May 8, 2017: Liver Transplantation
https://www.readbyqxmd.com/read/28479431/transient-acute-leg-ischemia-in-a-professional-athlete-caused-by-isolated-popliteal-artery-dissection-mimicking-popliteal-entrapment-syndrome
#13
Milos Sladojevic, Marko Dragas, Igor Končar, Oliver Radmili, Miroslav Markovic, Lazar Davidovic
INTRODUCTION: Exertional leg pain includes a broad range of conditions induced by different vascular, musculoskeletal and neurological disorders. We report a case with isolated popliteal artery dissection as a cause of a transient acute lower limb ischemia. CASE REPORT: We report a patient with popliteal artery dissection which occurred during squatting exercise. After initial signs of transient acute limb ischemia, physical and ultrasound examination pointed to entrampement syndrome as a likely cause...
May 4, 2017: Annals of Vascular Surgery
https://www.readbyqxmd.com/read/28454642/new-results-on-h%C3%A2-filtering-for-markov-jump-systems-with-uncertain-transition-rates
#14
Hui Liu, Yucai Ding, Jun Cheng
In this paper, we study the H∞ filtering problem for a class of continuous-time Markov jump systems with time-varying uncertainties in transition rates, in which the uncertain transition rates are assumed to be affine parameter-dependent uncertainty models. By converting the affine parameter-dependent uncertainty models for transition rates into time-varying polytopic ones and using the Lyapunov function approach, a sufficient condition on the existence of an H∞ filter is obtained in terms of a parameter-dependent matrix inequality...
April 25, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28431546/health-care-public-reporting-utilization-user-clusters-web-trails-and-usage-barriers-on-germany-s-public-reporting-portal-weisse-liste-de
#15
Christoph Pross, Lars-Henrik Averdunk, Josip Stjepanovic, Reinhard Busse, Alexander Geissler
BACKGROUND: Quality of care public reporting provides structural, process and outcome information to facilitate hospital choice and strengthen quality competition. Yet, evidence indicates that patients rarely use this information in their decision-making, due to limited awareness of the data and complex and conflicting information. While there is enthusiasm among policy makers for public reporting, clinicians and researchers doubt its overall impact. Almost no study has analyzed how users behave on public reporting portals, which information they seek out and when they abort their search...
April 21, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28426758/traces-of-business-cycles-in-credit-rating-migrations
#16
Dmitri Boreiko, Serguei Kaniovski, Yuri Kaniovski, Georg Pflug
Using migration data of a rating agency, this paper attempts to quantify the impact of macroeconomic conditions on credit-rating migrations. The migrations are modeled as a coupled Markov chain, where the macroeconomic factors are represented by unobserved tendency variables. In the simplest case, these binary random variables are static and credit-class-specific. A generalization treats tendency variables evolving as a time-homogeneous Markov chain. A more detailed analysis assumes a tendency variable for every combination of a credit class and an industry...
2017: PloS One
https://www.readbyqxmd.com/read/28426345/economic-evaluation-of-ezetimibe-treatment-in-combination-with-statin-therapy-in-the-united-states
#17
Glenn M Davies, Ami Vyas, Carl A Baxter
AIMS: This study assessed the cost-effectiveness of ezetimibe with statin therapy versus statin monotherapy from a United States (US) payer perspective, assuming the impending patent expiration of ezetimibe. METHODS: A Markov-like economic model consisting of 28 distinct health states was used. Model population data were obtained from US linked claims and electronic medical records, with inclusion criteria based on diagnostic guidelines. Inputs came from recent clinical trials, meta-analyses, and cost-effectiveness analyses...
April 20, 2017: Journal of Medical Economics
https://www.readbyqxmd.com/read/28426252/intervention-effects-on-stage-of-change-membership-and-transitions-among-adolescent-energy-balance-behaviors
#18
Leslie A Brick, Colleen A Redding, Andrea L Paiva, Lisa L Harlow, Wayne F Velicer
The transition from childhood to adolescence is a crucial period for the development of healthy behaviors to be sustained later in life. With obesity a leading public health problem, the promotion of healthy behaviors has the potential to make a huge impact. The current study evaluated Stage of Change progression in a large (N = 4158) computer-delivered, Transtheoretical Model-tailored intervention focusing on physical activity and fruit and vegetable consumption (FV). Markov models were used to explore stage transitions and patterns of discrete change from sixth to ninth grade...
April 20, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28422698/dissipativity-based-resilient-filtering-of-periodic-markovian-jump-neural-networks-with-quantized-measurements
#19
Renquan Lu, Jie Tao, Peng Shi, Hongye Su, Zheng-Guang Wu, Yong Xu
The problem of dissipativity-based resilient filtering for discrete-time periodic Markov jump neural networks in the presence of quantized measurements is investigated in this paper. Due to the limited capacities of network medium, a logarithmic quantizer is applied to the underlying systems. Considering the fact that the filter is realized through a network, randomly occurring parameter uncertainties of the filter are modeled by two mode-dependent Bernoulli processes. By establishing the mode-dependent periodic Lyapunov function, sufficient conditions are given to ensure the stability and dissipativity of the filtering error system...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28414908/experimental-computational-study-of-carbon-nanotube-effects-on-mitochondrial-respiration-in-silico-nano-qspr-machine-learning-models-based-on-new-raman-spectra-transform-with-markov-shannon-entropy-invariants
#20
Michael González-Durruthy, Luciane C Alberici, Carlos Curti, Zeki Naal, David T Atique-Sawazaki, José M Vázquez-Naya, Humberto González-Díaz, Cristian R Munteanu
The study of selective toxicity of carbon nanotubes (CNTs) on mitochondria (CNT-mitotoxicity) is of major interest for future biomedical applications. In the current work, the mitochondrial oxygen consumption (E3) is measured under three experimental conditions by exposure to pristine and oxidized CNTs (hydroxylated and carboxylated). Respiratory functional assays showed that the information on the CNT Raman spectroscopy could be useful to predict structural parameters of mitotoxicity induced by CNTs. The in vitro functional assays show that the mitochondrial oxidative phosphorylation by ATP-synthase (or state V3 of respiration) was not perturbed in isolated rat-liver mitochondria...
April 25, 2017: Journal of Chemical Information and Modeling
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