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https://www.readbyqxmd.com/read/29331138/role-of-non-equilibrium-conformations-on-driven-polymer-translocation
#1
H H Katkar, M Muthukumar
One of the major theoretical methods in understanding polymer translocation through a nanopore is the Fokker-Planck formalism based on the assumption of quasi-equilibrium of polymer conformations. The criterion for applicability of the quasi-equilibrium approximation for polymer translocation is that the average translocation time per Kuhn segment, ⟨τ⟩/NK, is longer than the relaxation time τ0 of the polymer. Toward an understanding of conditions that would satisfy this criterion, we have performed coarse-grained three dimensional Langevin dynamics and multi-particle collision dynamics simulations...
January 14, 2018: Journal of Chemical Physics
https://www.readbyqxmd.com/read/29329520/effects-of-primary-care-clinician-beliefs-and-perceived-organizational-facilitators-on-the-delivery-of-preventive-care-to-individuals-with-mental-illnesses
#2
Bobbi Jo H Yarborough, Scott P Stumbo, Nancy A Perrin, Ginger C Hanson, John Muench, Carla A Green
BACKGROUND: Although many studies have documented patient-, clinician-, and organizational barriers/facilitators of primary care among people with mental illnesses, few have examined whether these factors predict actual rates of preventive service use. We assessed whether clinician behaviors, beliefs, characteristics, and clinician-reported organizational characteristics, predicted delivery of preventive services in this population. METHODS: Primary care clinicians (n = 247) at Kaiser Permanente Northwest (KPNW) or community health centers and safety-net clinics (CHCs), in six states, completed clinician surveys in 2014...
January 12, 2018: BMC Family Practice
https://www.readbyqxmd.com/read/29327387/student-survey-trends-in-reported-alcohol-use-and-influencing-factors-in-australia
#3
John W Toumbourou, Bosco Rowland, Matin Ghayour-Minaie, Shauna Sherker, George C Patton, Joanne W Williams
INTRODUCTION AND AIMS: There is a need to explain reported trends of reduced alcohol and drug (substance) use in school-aged children in Australia. This study used student survey data collected in the states of Victoria, Western Australia and Queensland to examine trends in substance use and associated influencing factors. DESIGN AND METHODS: Youth self-reports were examined from 11 cross-sectional surveys completed by 41 328 adolescents (average age 13.5 years, 52...
January 12, 2018: Drug and Alcohol Review
https://www.readbyqxmd.com/read/29325777/data-driven-model-reference-control-of-mimo-vertical-tank-systems-with-model-free-vrft-and-q-learning
#4
Mircea-Bogdan Radac, Radu-Emil Precup, Raul-Cristian Roman
This paper proposes a combined Virtual Reference Feedback Tuning-Q-learning model-free control approach, which tunes nonlinear static state feedback controllers to achieve output model reference tracking in an optimal control framework. The novel iterative Batch Fitted Q-learning strategy uses two neural networks to represent the value function (critic) and the controller (actor), and it is referred to as a mixed Virtual Reference Feedback Tuning-Batch Fitted Q-learning approach. Learning convergence of the Q-learning schemes generally depends, among other settings, on the efficient exploration of the state-action space...
January 8, 2018: ISA Transactions
https://www.readbyqxmd.com/read/29322925/subtype-identification-from-heterogeneous-tcga-datasets-on-a-genomic-scale-by-multi-view-clustering-with-enhanced-consensus
#5
Menglan Cai, Limin Li
BACKGROUND: The Cancer Genome Atlas (TCGA) has collected transcriptome, genome and epigenome information for over 20 cancers from thousands of patients. The availability of these diverse data types makes it necessary to combine these data to capture the heterogeneity of biological processes and phenotypes and further identify homogeneous subtypes for cancers such as breast cancer. Many multi-view clustering approaches are proposed to discover clusters across different data types. The problem is challenging when different data types show poor agreement of clustering structure...
December 21, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/29322586/functional-connectivity-predicts-gender-evidence-for-gender-differences-in-resting-brain-connectivity
#6
Chao Zhang, Chase C Dougherty, Stefi A Baum, Tonya White, Andrew M Michael
Prevalence of certain forms of psychopathology, such as autism and depression, differs between genders and understanding gender differences of the neurotypical brain may provide insights into risk and protective factors. In recent research, resting state functional magnetic resonance imaging (rfMRI) is widely used to map the inherent functional networks of the brain. Although previous studies have reported gender differences in rfMRI, the robustness of gender differences is not well characterized. In this study, we use a large data set to test whether rfMRI functional connectivity (FC) can be used to predict gender and identify FC features that are most predictive of gender...
January 10, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29321621/functional-brain-network-mechanism-of-hypersensitivity-in-chronic-pain
#7
UnCheol Lee, Minkyung Kim, KyoungEun Lee, Chelsea M Kaplan, Daniel J Clauw, Seunghwan Kim, George A Mashour, Richard E Harris
Fibromyalgia (FM) is a chronic widespread pain condition characterized by augmented multi-modal sensory sensitivity. Although the mechanisms underlying this sensitivity are thought to involve an imbalance in excitatory and inhibitory activity throughout the brain, the underlying neural network properties associated with hypersensitivity to pain stimuli are largely unknown. In network science, explosive synchronization (ES) was introduced as a mechanism of hypersensitivity in diverse biological and physical systems that display explosive and global propagations with small perturbations...
January 10, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29319630/exposure-to-ambient-ultrafine-particles-and-nitrogen-dioxide-and-incident-hypertension-and-diabetes
#8
Li Bai, Hong Chen, Marianne Hatzopoulou, Michael Jerrett, Jeffrey C Kwong, Richard T Burnett, Aaron van Donkelaar, Ray Copes, Randall V Martin, Keith van Ryswyk, Hong Lu, Alexander Kopp, Scott Weichenthal
BACKGROUND: Previous studies reported that long-term exposure to traffic-related air pollution may increase the incidence of hypertension and diabetes. However, little is known about the associations of ultrafine particles (≤0.1 micrometers in diameter) with these two conditions. METHODS: We conducted a population-based cohort study to investigate the associations between exposures to ultrafine particles and nitrogen dioxide (NO2) and the incidence of diabetes and hypertension...
January 9, 2018: Epidemiology
https://www.readbyqxmd.com/read/29317621/integrated-omics-dissection-of-proteome-dynamics-during-cardiac-remodeling
#9
Edward Lau, Quan Cao, Maggie P Y Lam, Jie Wang, Dominic C M Ng, Brian J Bleakley, Jessica M Lee, David A Liem, Ding Wang, Henning Hermjakob, Peipei Ping
Transcript abundance and protein abundance show modest correlation in many biological models, but how this impacts disease signature discovery in omics experiments is rarely explored. Here we report an integrated omics approach, incorporating measurements of transcript abundance, protein abundance, and protein turnover to map the landscape of proteome remodeling in a mouse model of pathological cardiac hypertrophy. Analyzing the hypertrophy signatures that are reproducibly discovered from each omics data type across six genetic strains of mice, we find that the integration of transcript abundance, protein abundance, and protein turnover data leads to 75% gain in discovered disease gene candidates...
January 9, 2018: Nature Communications
https://www.readbyqxmd.com/read/29316357/cerebrovascular-events-in-systemic-lupus-erythematosus
#10
John G Hanly, Qiuju Li, Li Su, Murray B Urowitz, Caroline Gordon, Sang-Cheol Bae, Juanita Romero-Diaz, Jorge Sanchez-Guerrero, Sasha Bernatsky, Ann E Clarke, Daniel J Wallace, David A Isenberg, Anisur Rahman, Joan T Merrill, Paul Fortin, Dafna D Gladman, Ian N Bruce, Michelle Petri, Ellen M Ginzler, M A Dooley, Kristjan Steinsson, Rosalind Ramsey-Goldman, Asad A Zoma, Susan Manzi, Ola Nived, Andreas Jonsen, Munther A Khamashta, Graciela S Alarcón, Winn Chatham, Ronald F van Vollenhoven, Cynthia Aranow, Meggan Mackay, Guillermo Ruiz-Irastorza, Manuel Ramos-Casals, S Sam Lim, Murat Inanc, Kenneth C Kalunian, Soren Jacobsen, Christine A Peschken, Diane L Kamen, Anca Askanase, Chris Theriault, Vernon Farewell
OBJECTIVE: To determine the frequency, associations and outcomes of cerebrovascular events (CerVEs) in a multi-ethnic/racial, prospective, SLE disease inception cohort. METHODS: Patients were assessed annually for 19 neuropsychiatric (NP) events including 5 types of CerVEs: (i) Stroke; (ii) Transient ischemia; (iii) Chronic multifocal ischemia; (iv) Subarachnoid/intracranial hemorrhage; (v) Sinus thrombosis. Global disease activity (SLEDAI-2K), SLICC/ACR damage index (SDI) and SF-36 scores were collected...
January 5, 2018: Arthritis Care & Research
https://www.readbyqxmd.com/read/29314829/quantitative-toxicity-prediction-using-topology-based-multi-task-deep-neural-networks
#11
Kedi Wu, Guo-Wei Wei
The understanding of toxicity is of paramount importance to human health and environmental protection. Quantitative toxicity analysis has become a new standard in the field. This work introduces element specific persistent homology (ESPH), an algebraic topology approach, for quantitative toxicity prediction. ESPH retains crucial chemical information during the topological abstraction of geometric complexity and provides a representation of small molecules that cannot be obtained by any other method. To investigate the representability and predictive power of ESPH for small molecules, ancillary descriptors have also been developed based on physical models...
January 9, 2018: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/29314670/eliminating-hepatitis-c-virus-as-a-public-health-threat-among-hiv-positive-men-who-have-sex-with-men-a-multi-modelling-approach-to-understand-differences-in-sexual-risk-behaviour
#12
Nick Scott, Mark Stoové, David P Wilson, Olivia Keiser, Carol El-Hayek, Joseph Doyle, Margaret Hellard
INTRODUCTION: Outbreaks of hepatitis C virus (HCV) infections among HIV-positive men who have sex with men (MSM) have been observed globally. Using a multi-modelling approach we estimate the time and number of direct-acting antiviral treatment courses required to achieve an 80% reduction in HCV prevalence among HIV-positive MSM in the state of Victoria, Australia. METHODS: Three models of HCV transmission, testing and treatment among MSM were compared: a dynamic compartmental model; an agent-based model (ABM) parametrized to local surveillance and behavioural data ("ABM1"); and an ABM with a more heterogeneous population ("ABM2") to determine the influence of extreme variations in sexual risk behaviour...
January 2018: Journal of the International AIDS Society
https://www.readbyqxmd.com/read/29311689/multi-valued-and-fuzzy-logic-realization-using-taox-memristive-devices
#13
Debjyoti Bhattacharjee, Wonjoo Kim, Anupam Chattopadhyay, Rainer Waser, Vikas Rana
Among emerging non-volatile storage technologies, redox-based resistive switching Random Access Memory (ReRAM) is a prominent one. The realization of Boolean logic functionalities using ReRAM adds an extra edge to this technology. Recently, 7-state ReRAM devices were used to realize ternary arithmetic circuits, which opens up the computing space beyond traditional binary values. In this manuscript, we report realization of multi-valued and fuzzy logic operators with a representative application using ReRAM devices...
January 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29304750/lower-body-functioning-and-correlates-among-older-american-indians-the-cerebrovascular-disease-and-its-consequences-in-american-indians-study
#14
R Turner Goins, Mark Schure, Paul N Jensen, Astrid Suchy-Dicey, Lonnie Nelson, Steven P Verney, Barbara V Howard, Dedra Buchwald
BACKGROUND: More than six million American Indians live in the United States, and an estimated 1.6 million will be aged ≥65 years old by 2050 tripling in numbers since 2012. Physical functioning and related factors in this population are poorly understood. Our study aimed to assess lower body functioning and identify the prevalence and correlates of "good" functioning in a multi-tribe, community-based sample of older American Indians. METHODS: Assessments used the Short Physical Performance Battery (SPPB)...
January 5, 2018: BMC Geriatrics
https://www.readbyqxmd.com/read/29301310/combination-of-multi-agent-systems-and-wireless-sensor-networks-for-the-monitoring-of-cattle
#15
Alberto L Barriuso, Gabriel Villarrubia González, Juan F De Paz, Álvaro Lozano, Javier Bajo
Precision breeding techniques have been widely used to optimize expenses and increase livestock yields. Notwithstanding, the joint use of heterogeneous sensors and artificial intelligence techniques for the simultaneous analysis or detection of different problems that cattle may present has not been addressed. This study arises from the necessity to obtain a technological tool that faces this state of the art limitation. As novelty, this work presents a multi-agent architecture based on virtual organizations which allows to deploy a new embedded agent model in computationally limited autonomous sensors, making use of the Platform for Automatic coNstruction of orGanizations of intElligent Agents (PANGEA)...
January 2, 2018: Sensors
https://www.readbyqxmd.com/read/29299678/diabetes-and-number-of-years-of-life-lost-with-and-without-cardiovascular-disease-a-multi-state-homogeneous-semi-markov-model
#16
Azra Ramezankhani, Fereidoun Azizi, Farzad Hadaegh, Amir Abbas Momenan
AIMS: We quantified the impact of type 2 diabetes on incidence of non-fatal cardiovascular disease (CVD) and mortality, considering CVD as a continuum from occurrence of diabetes to the end point, and estimated the 15-year life expectancy with and without CVD. METHODS: A total of 7239 Iranian adults (3246 men), aged ≥ 30 years, were followed from 1999 to 2014. We applied a multi-state semi-Markov model with three transitions including CVD-free to non-fatal CVD, CVD-free to death and non-fatal CVD to death, and studied the influence of diabetes on each transition rate, stratifying by sex and adjusting for confounders...
January 3, 2018: Acta Diabetologica
https://www.readbyqxmd.com/read/29297693/probing-excitons-trions-and-dark-excitons-in-monolayer-ws2-using-resonance-raman-spectroscopy
#17
Liam McDonnell, Chung-Che Huang, Qingsong Cui, Daniel W Hewak, David C Smith
We present temperature dependent resonance Raman measurements on monolayer WS2 for the temperature range 4K to 295K using excitation photon energies from 1.9eV to 2.15eV in ~7meV steps. These are analyzed to determine the resonance profiles of five previously assigned phonon based Raman peaks (A1', E', 2ZA, LA, 2LA) and a previously unassigned peak at 485cm-1 whose possible attributions are discussed. The resonance profiles obtained are fitted to a perturbation theory derived model and it is shown that both excitons and trions are required to explain the profiles...
January 3, 2018: Nano Letters
https://www.readbyqxmd.com/read/29297321/a-multiple-distributed-representation-method-based-on-neural-network-for-biomedical-event-extraction
#18
Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu
BACKGROUND: Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification problems. However, traditional state-of-the-art methods are based on support vector machine (SVM) with massive manually designed one-hot represented features, which require enormous work but lack semantic relation among words. METHODS: In this paper, we propose a multiple distributed representation method for biomedical event extraction...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29297288/deep-learning-architectures-for-multi-label-classification-of-intelligent-health-risk-prediction
#19
Andrew Maxwell, Runzhi Li, Bei Yang, Heng Weng, Aihua Ou, Huixiao Hong, Zhaoxian Zhou, Ping Gong, Chaoyang Zhang
BACKGROUND: Multi-label classification of data remains to be a challenging problem. Because of the complexity of the data, it is sometimes difficult to infer information about classes that are not mutually exclusive. For medical data, patients could have symptoms of multiple different diseases at the same time and it is important to develop tools that help to identify problems early. Intelligent health risk prediction models built with deep learning architectures offer a powerful tool for physicians to identify patterns in patient data that indicate risks associated with certain types of chronic diseases...
December 28, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29295621/ultrafast-transmission-modulation-and-recovery-via-vibrational-strong-coupling
#20
Adam D Dunkelberger, Roderick Davidson, Wonmi Ahn, Blake S Simpkins, Jeffrey C Owrutsky
Strong coupling between vibrational modes and cavity optical modes leads to the formation of vibration-cavity polaritons, separated by the vacuum Rabi splitting. The splitting depends on the square root of the concentration of absorbers confined in the cavity, which has important implications on the response of the coupled system after ultrafast infrared excitation. In this work, we report on solutions of W(CO)6 in hexane with concentration chosen to access a regime that borders on weak coupling. Under these conditions, huge fractions of the W(CO)6 oscillators can be excited, and the anharmonicity of the molecules leads to a commensurate reduction in the Rabi splitting...
January 2, 2018: Journal of Physical Chemistry. A
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