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https://www.readbyqxmd.com/read/28437861/three-stage-decision-making-model-under-restricted-conditions-for-emergency-response-to-ships-not-under-control
#1
Bing Wu, Xinping Yan, Yang Wang, Di Zhang, C Guedes Soares
A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three-stage decision-making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e...
April 24, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28437848/inferring-network-structure-in-non-normal-and-mixed-discrete-continuous-genomic-data
#2
Anindya Bhadra, Arvind Rao, Veerabhadran Baladandayuthapani
Inferring dependence structure through undirected graphs is crucial for uncovering the major modes of multivariate interaction among high-dimensional genomic markers that are potentially associated with cancer. Traditionally, conditional independence has been studied using sparse Gaussian graphical models for continuous data and sparse Ising models for discrete data. However, there are two clear situations when these approaches are inadequate. The first occurs when the data are continuous but display non-normal marginal behavior such as heavy tails or skewness, rendering an assumption of normality inappropriate...
April 24, 2017: Biometrics
https://www.readbyqxmd.com/read/28437843/a-bayesian-belief-network-model-assessing-the-risk-to-wastewater-workers-of-contracting-ebola-virus-disease-during-an-outbreak
#3
Joseph W Zabinski, Kelsey J Pieper, Jacqueline MacDonald Gibson
During an outbreak of Ebola virus disease (EVD), hospitals' connections to municipal wastewater systems may provide a path for patient waste bearing infectious viral particles to pass from the hospital into the wastewater treatment system, potentially posing risks to sewer and wastewater workers. To quantify these risks, we developed a Bayesian belief network model incorporating data on virus behavior and survival along with structural characteristics of hospitals and wastewater treatment systems. We applied the model to assess risks under several different scenarios of workers' exposure to wastewater for a wastewater system typical of a mid-sized U...
April 24, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28435304/comparative-effectiveness-of-glycemic-control-in-patients-with-type-2-diabetes-treated-with-glp-1-receptor-agonists-a-network-meta-analysis-of-placebo-controlled-and-active-comparator-trials
#4
Michelle E Orme, Hiep Nguyen, Jackie Y Lu, Susan A Thomas
BACKGROUND: Clinical studies of patients with type 2 diabetes show that GLP-1 receptor agonists (GLP-1 RAs) improve glycemic control and promote weight loss. We conducted a Bayesian network meta-analysis (NMA) of placebo- and active-controlled randomized trials to assess the comparative effectiveness of liraglutide, albiglutide, dulaglutide, and exenatide twice daily and once weekly, with a focus on glycemic control. MATERIALS AND METHODS: We searched Medline, Embase, and the Cochrane Library (up to December 2014) for core registration programs for US-approved GLP-1 RAs...
2017: Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
https://www.readbyqxmd.com/read/28434408/secure-internet-of-things-based-cloud-framework-to-control-zika-virus-outbreak
#5
Sanjay Sareen, Sandeep K Sood, Sunil Kumar Gupta
OBJECTIVES: Zika virus (ZikaV) is currently one of the most important emerging viruses in the world which has caused outbreaks and epidemics and has also been associated with severe clinical manifestations and congenital malformations. Traditional approaches to combat the ZikaV outbreak are not effective for detection and control. The aim of this study is to propose a cloud-based system to prevent and control the spread of Zika virus disease using integration of mobile phones and Internet of Things (IoT)...
April 24, 2017: International Journal of Technology Assessment in Health Care
https://www.readbyqxmd.com/read/28429842/linking-macroecology-and-community-ecology-refining-predictions-of-species-distributions-using-biotic-interaction-networks
#6
Phillip P A Staniczenko, Prabu Sivasubramaniam, K Blake Suttle, Richard G Pearson
Macroecological models for predicting species distributions usually only include abiotic environmental conditions as explanatory variables, despite knowledge from community ecology that all species are linked to other species through biotic interactions. This disconnect is largely due to the different spatial scales considered by the two sub-disciplines: macroecologists study patterns at large extents and coarse resolutions, while community ecologists focus on small extents and fine resolutions. A general framework for including biotic interactions in macroecological models would help bridge this divide, as it would allow for rigorous testing of the role that biotic interactions play in determining species ranges...
April 21, 2017: Ecology Letters
https://www.readbyqxmd.com/read/28427935/the-manifolded-dynamics-of-hiv-1-transmission-in-northern-alberta-a-combined-analysis-of-virus-genetic-and-public-health-data
#7
B Vrancken, D Adachi, M Benedet, A Singh, R Read, S Shafran, G D Taylor, S Houston, K Simmonds, S Plitt, C Sikora, P Lemey, C L Charlton, J W Tang
Molecular epidemiology has become a key tool for tracking infectious disease epidemics. Here, the spread of the most prevalent HIV-1 subtypes in Northern Alberta, Canada, was characterized with a Bayesian phylogenetic approach using 1146 HIV-1 pol sequences collected between 2007 and 2013 for routine clinical management purposes. Available patient metadata were qualitatively interpreted and correlated with onwards transmission using Fisher exact tests and logistic regression. Most infections were from subtypes A (n=36), B (n=815) and C (n=211)...
April 17, 2017: Infection, Genetics and Evolution
https://www.readbyqxmd.com/read/28427321/in-silico-assessment-of-biomedical-products-the-conundrum-of-rare-but-not-so-rare-events-in-two-case-studies
#8
Marco Viceconti, Claudio Cobelli, Tarek Haddad, Adam Himes, Boris Kovatchev, Mark Palmer
In silico clinical trials, defined as "The use of individualized computer simulation in the development or regulatory evaluation of a medicinal product, medical device, or medical intervention," have been proposed as a possible strategy to reduce the regulatory costs of innovation and the time to market for biomedical products. We review some of the the literature on this topic, focusing in particular on those applications where the current practice is recognized as inadequate, as for example, the detection of unexpected severe adverse events too rare to be detected in a clinical trial, but still likely enough to be of concern...
May 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28426818/alternative-glacial-interglacial-refugia-demographic-hypotheses-tested-on-cephalocereus-columna-trajani-cactaceae-in-the-intertropical-mexican-drylands
#9
Amelia Cornejo-Romero, Carlos Fabián Vargas-Mendoza, Gustavo F Aguilar-Martínez, Javier Medina-Sánchez, Beatriz Rendón-Aguilar, Pedro Luis Valverde, Jose Alejandro Zavala-Hurtado, Alejandra Serrato, Sombra Rivas-Arancibia, Marco Aurelio Pérez-Hernández, Gerardo López-Ortega, Cecilia Jiménez-Sierra
Historic demography changes of plant species adapted to New World arid environments could be consistent with either the Glacial Refugium Hypothesis (GRH), which posits that populations contracted to refuges during the cold-dry glacial and expanded in warm-humid interglacial periods, or with the Interglacial Refugium Hypothesis (IRH), which suggests that populations contracted during interglacials and expanded in glacial times. These contrasting hypotheses are developed in the present study for the giant columnar cactus Cephalocereus columna-trajani in the intertropical Mexican drylands where the effects of Late Quaternary climatic changes on phylogeography of cacti remain largely unknown...
2017: PloS One
https://www.readbyqxmd.com/read/28424073/systematic-review-with-network-meta-analysis-dual-therapy-for-high-risk-bleeding-peptic-ulcers
#10
Keda Shi, Zeren Shen, Guiqi Zhu, Fansheng Meng, Mengli Gu, Feng Ji
BACKGROUND: Adding a second endoscopic therapy to epinephrine injection might improve hemostatic efficacy in patients with high-risk bleeding ulcers but the optimum modality remains unknown. We aimed to estimate the comparative efficacy of different dual endoscopic therapies for the management of bleeding peptic ulcers through random-effects Bayesian network meta-analysis. METHODS: Different databases were searched for controlled trials comparing dual therapy versus epinephrine monotherapy or epinephrine combined with another second modality until September, 30 2016...
April 19, 2017: BMC Gastroenterology
https://www.readbyqxmd.com/read/28423913/application-of-iata-a-case-study-in-evaluating-the-global-and-local-performance-of-a-bayesian-network-model-for-skin-sensitization
#11
J M Fitzpatrick, G Patlewicz
The information characterizing key events in an Adverse Outcome Pathway (AOP) can be generated from in silico, in chemico, in vitro and in vivo approaches. Integration of this information and interpretation for decision making are known as integrated approaches to testing and assessment (IATA). One such IATA was published by Jaworska et al., which describes a Bayesian network model known as ITS-2. The current work evaluated the performance of ITS-2 using a stratified cross-validation approach. We also characterized the impact of replacing the most significant component of the network, output from the expert system TIMES-SS, with structural alert information from the OECD Toolbox and Toxtree...
April 20, 2017: SAR and QSAR in Environmental Research
https://www.readbyqxmd.com/read/28421624/bayesian-exponential-random-graph-modelling-of-interhospital-patient-referral-networks
#12
Alberto Caimo, Francesca Pallotti, Alessandro Lomi
Using original data that we have collected on referral relations between 110 hospitals serving a large regional community, we show how recently derived Bayesian exponential random graph models may be adopted to illuminate core empirical issues in research on relational coordination among healthcare organisations. We show how a rigorous Bayesian computation approach supports a fully probabilistic analytical framework that alleviates well-known problems in the estimation of model parameters of exponential random graph models...
April 18, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28421515/corr-insights-%C3%A2-can-a-bayesian-belief-network-be-used-to-estimate-1-year-survival-in-patients-with-bone-sarcomas
#13
Mitchell Maltenfort
No abstract text is available yet for this article.
April 18, 2017: Clinical Orthopaedics and related Research
https://www.readbyqxmd.com/read/28419235/a-bayesian-group-sparse-multi-task-regression-model-for-imaging-genetics
#14
Keelin Greenlaw, Elena Szefer, Jinko Graham, Mary Lesperance, Farouk S Nathoo
Motivation: Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. Wang et al. (Bioinformatics, 2012) have developed an approach for the analysis of imaging genomic studies using penalized multi-task regression with regularization based on a novel group l2,1-norm penalty which encourages structured sparsity at both the gene level and SNP level. While incorporating a number of useful features, the proposed method only furnishes a point estimate of the regression coefficients; techniques for conducting statistical inference are not provided...
April 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28418901/chemoradiotherapy-enhanced-the-efficacy-of-radiotherapy-in-nasopharyngeal-carcinoma-patients-a-network-meta-analysis
#15
REVIEW
Jian He, Ping Wu, Yaoyun Tang, Sulai Liu, Chubo Xie, Shi Luo, Junfeng Zeng, Jing Xu, Suping Zhao
OBJECT: A Bayesian network meta-analysis (NMA) was conducted to estimate the overall survival (OS) and complete response (CR) performance in nasopharyngeal carcinoma (NPC) patients who have been given the treatment of radiotherapy, concurrent chemoradiotherapy (C), adjuvant chemotherapy (A), neoadjuvant chemotherapy (N), concurrent chemoradiotherapy with adjuvant chemotherapy (C+A), concurrent chemoradiotherapy with neoadjuvant chemotherapy (C+N) and neoadjuvant chemotherapy with adjuvant chemotherapy (N+A)...
March 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/28418593/nonparametric-tree-based-predictive-modeling-of-storm-outages-on-an-electric-distribution-network
#16
Jichao He, David W Wanik, Brian M Hartman, Emmanouil N Anagnostou, Marina Astitha, Maria E B Frediani
This article compares two nonparametric tree-based models, quantile regression forests (QRF) and Bayesian additive regression trees (BART), for predicting storm outages on an electric distribution network in Connecticut, USA. We evaluated point estimates and prediction intervals of outage predictions for both models using high-resolution weather, infrastructure, and land use data for 89 storm events (including hurricanes, blizzards, and thunderstorms). We found that spatially BART predicted more accurate point estimates than QRF...
March 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28413358/the-soft-computing-based-approach-to-investigate-allergic-diseases-a-systematic-review
#17
Gennaro Tartarisco, Alessandro Tonacci, Paola Lucia Minciullo, Lucia Billeci, Giovanni Pioggia, Cristoforo Incorvaia, Sebastiano Gangemi
BACKGROUND: Early recognition of inflammatory markers and their relation to asthma, adverse drug reactions, allergic rhinitis, atopic dermatitis and other allergic diseases is an important goal in allergy. The vast majority of studies in the literature are based on classic statistical methods; however, developments in computational techniques such as soft computing-based approaches hold new promise in this field. OBJECTIVE: The aim of this manuscript is to systematically review the main soft computing-based techniques such as artificial neural networks, support vector machines, bayesian networks and fuzzy logic to investigate their performances in the field of allergic diseases...
2017: Clinical and Molecular Allergy: CMA
https://www.readbyqxmd.com/read/28413170/selecting-strategies-to-reduce-high-risk-unsafe-work-behaviors-using-the-safety-behavior-sampling-technique-and-bayesian-network-analysis
#18
Fakhradin Ghasemi, Omid Kalatpour, Abbas Moghimbeigi, Iraj Mohammadfam
BACKGROUND: High-risk unsafe behaviors (HRUBs) have been known as the main cause of occupational accidents. Considering the financial and societal costs of accidents and the limitations of available resources, there is an urgent need for managing unsafe behaviors at workplaces. The aim of the present study was to find strategies for decreasing the rate of HRUBs using an integrated approach of safety behavior sampling technique and Bayesian networks analysis. STUDY DESIGN: A cross-sectional study...
March 4, 2017: Journal of Research in Health Sciences
https://www.readbyqxmd.com/read/28410408/pleistocene-climate-changes-shaped-the-population-structure-of-partamona-seridoensis-apidae-meliponini-an-endemic-stingless-bee-from-the-neotropical-dry-forest
#19
Elder Assis Miranda, Kátia Maria Ferreira, Airton Torres Carvalho, Celso Feitosa Martins, Carlo Rivero Fernandes, Marco Antonio Del Lama
Partamona seridoensis is an endemic stingless bee from the Caatinga, a Neotropical dry forest in northeastern Brazil. Like other stingless bees, this species plays an important ecological role as a pollinator. The aim of the present study was to investigate the genetic structure and evolutionary history of P. seridoensis across its current geographic range. Workers from 84 nests from 17 localities were analyzed for COI and Cytb genic regions. The population structure tests (Bayesian phylogenetic inference, AMOVA and haplotype network) consistently characterized two haplogroups (northwestern and eastern), with little gene flow between them, generating a high differentiation between them as well as among the populations within each haplogroup...
2017: PloS One
https://www.readbyqxmd.com/read/28408966/gene-network-reconstruction-using-global-local-shrinkage-priors
#20
Gwenaël G R Leday, Mathisca C M de Gunst, Gino B Kpogbezan, Aad W van der Vaart, Wessel N van Wieringen, Mark A van de Wiel
Reconstructing a gene network from high-throughput molecular data is an important but challenging task, as the number of parameters to estimate easily is much larger than the sample size. A conventional remedy is to regularize or penalize the model likelihood. In network models, this is often done locally in the neighbourhood of each node or gene. However, estimation of the many regularization parameters is often difficult and can result in large statistical uncertainties. In this paper we propose to combine local regularization with global shrinkage of the regularization parameters to borrow strength between genes and improve inference...
March 2017: Annals of Applied Statistics
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