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https://www.readbyqxmd.com/read/28437869/risk-modeling-of-interdependent-complex-systems-of-systems-theory-and-practice
#1
Yacov Y Haimes
The emergence of the complexity characterizing our systems of systems (SoS) requires a reevaluation of the way we model, assess, manage, communicate, and analyze the risk thereto. Current models for risk analysis of emergent complex SoS are insufficient because too often they rely on the same risk functions and models used for single systems. These models commonly fail to incorporate the complexity derived from the networks of interdependencies and interconnectedness (I-I) characterizing SoS. There is a need to reevaluate currently practiced risk analysis to respond to this reality by examining, and thus comprehending, what makes emergent SoS complex...
April 24, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28437861/three-stage-decision-making-model-under-restricted-conditions-for-emergency-response-to-ships-not-under-control
#2
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/28437486/prediction-of-crime-occurrence-from-multi-modal-data-using-deep-learning
#3
Hyeon-Woo Kang, Hang-Bong Kang
In recent years, various studies have been conducted on the prediction of crime occurrences. This predictive capability is intended to assist in crime prevention by facilitating effective implementation of police patrols. Previous studies have used data from multiple domains such as demographics, economics, and education. Their prediction models treat data from different domains equally. These methods have problems in crime occurrence prediction, such as difficulty in discovering highly nonlinear relationships, redundancies, and dependencies between multiple datasets...
2017: PloS One
https://www.readbyqxmd.com/read/28434416/introduction-of-health-technology-assessment-for-medicines-in-slovakia
#4
Tomas Tesar, Adam Hloska, Martin Wawruch, Lubica Lehocka, Miroslava Snopkova, Lucia Masarykova
OBJECTIVES: The aim of our study was to describe approaches to health technology assessment (HTA) for medicines in the Slovak healthcare system and the related decision-making processes concerning reimbursement for medicines. METHODS: Analysis of the Slovak legislative framework related to HTA and the reimbursement process for medicines was performed. Additionally, current practices of the Working Group for Pharmacoeconomics, Clinical Outcomes and Health Technology Assessment of the Slovak Ministry of Health were evaluated...
April 24, 2017: International Journal of Technology Assessment in Health Care
https://www.readbyqxmd.com/read/28433671/montreal-accord-on-patient-reported-outcomes-use-series-paper-3-patient-reported-outcomes-pro-can-facilitate-shared-decision-making-and-guide-self-management
#5
V K Noonan, A Lyddiatt, P Ware, S B Jaglal, R J Riopelle, C O Bingham, S Figueiredo, R Sawatzky, M Santana, S J Bartlett, S Ahmed
BACKGROUND: There is a shift towards making health care patient-centred whereby patients are part of medical decision-making and take responsibility for managing their health. Patient-reported outcomes (PROs) capture the patient voice and can be used to engage patients in medical decision-making. OBJECTIVE: The objective of this paper is to present important factors from patients', clinicians', researchers', and decision-makers' perspectives that influence successful adoption of PROs in clinical practice...
April 19, 2017: Journal of Clinical Epidemiology
https://www.readbyqxmd.com/read/28430545/effects-of-motivation-rewarding-hackers-for-undetected-attacks-cause-analysts-to-perform-poorly
#6
Zahid Maqbool, Nidhi Makhijani, V S Chandrasekhar Pammi, Varun Dutt
OBJECTIVE: The aim of this study was to determine how monetary motivations influence decision making of humans performing as security analysts and hackers in a cybersecurity game. BACKGROUND: Cyberattacks are increasing at an alarming rate. As cyberattacks often cause damage to existing cyber infrastructures, it is important to understand how monetary rewards may influence decision making of hackers and analysts in the cyber world. Currently, only limited attention has been given to this area...
May 2017: Human Factors
https://www.readbyqxmd.com/read/28430156/zero-sum-matrix-game-with-payoffs-of-dempster-shafer-belief-structures-and-its-applications-on-sensors
#7
Xinyang Deng, Wen Jiang, Jiandong Zhang
The zero-sum matrix game is one of the most classic game models, and it is widely used in many scientific and engineering fields. In the real world, due to the complexity of the decision-making environment, sometimes the payoffs received by players may be inexact or uncertain, which requires that the model of matrix games has the ability to represent and deal with imprecise payoffs. To meet such a requirement, this paper develops a zero-sum matrix game model with Dempster-Shafer belief structure payoffs, which effectively represents the ambiguity involved in payoffs of a game...
April 21, 2017: Sensors
https://www.readbyqxmd.com/read/28428271/master-transcriptional-regulators-in-cancer-discovery-via-reverse-engineering-approaches-and-subsequent-validation
#8
REVIEW
Bruce Moran, Arman Rahman, Katja Palonen, Fiona T Lanigan, William M Gallagher
Reverse engineering of transcriptional networks using gene expression data enables identification of genes that underpin the development and progression of different cancers. Methods to this end have been available for over a decade and, with a critical mass of transcriptomic data in the oncology arena having been reached, they are ever more applicable. Extensive and complex networks can be distilled into a small set of key master transcriptional regulators (MTR), genes that are very highly connected and have been shown to be involved in processes of known importance in disease...
April 20, 2017: Cancer Research
https://www.readbyqxmd.com/read/28426739/artificial-neural-network-and-sarima-based-models-for-power-load-forecasting-in-turkish-electricity-market
#9
Ömer Özgür Bozkurt, Göksel Biricik, Ziya Cihan Tayşi
Load information plays an important role in deregulated electricity markets, since it is the primary factor to make critical decisions on production planning, day-to-day operations, unit commitment and economic dispatch. Being able to predict the load for a short term, which covers one hour to a few days, equips power generation facilities and traders with an advantage. With the deregulation of electricity markets, a variety of short term load forecasting models are developed. Deregulation in Turkish Electricity Market has started in 2001 and liberalization is still in progress with rules being effective in its predefined schedule...
2017: PloS One
https://www.readbyqxmd.com/read/28425947/deep-count-fruit-counting-based-on-deep-simulated-learning
#10
Maryam Rahnemoonfar, Clay Sheppard
Recent years have witnessed significant advancement in computer vision research based on deep learning. Success of these tasks largely depends on the availability of a large amount of training samples. Labeling the training samples is an expensive process. In this paper, we present a simulated deep convolutional neural network for yield estimation. Knowing the exact number of fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, and the size of harvest labor force...
April 20, 2017: Sensors
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/28423193/is-the-use-of-differences-in-the-magnitude-of-cal-gain-appropriate-for-making-conclusions-on-the-efficacy-of-non-surgical-therapeutic-means
#12
Cristiano Tomasi, Jan L Wennström
The article "Network Meta-Analysis of Studies Included in the Clinical Practice Guideline on the Nonsurgical Treatment of Chronic Periodontitis" by John et al. (2017) compares clinical attachment level (CAL) gains among nine adjuncts to scaling and root planing (SRP). The authors concluded that adjuncts improve CAL gain by about a third of a millimetre over 6-12 months compared to SRP alone, without significant differences among the adjuncts. However, as discussed by the authors the patient-perceived benefit of this additional gain is unclear...
April 19, 2017: Journal of Clinical Periodontology
https://www.readbyqxmd.com/read/28423111/-what-is-purchased-how-and-from-whom-by-seguro-popular-in-mexico-experience-with-strategic-purchasing-at-national-level-and-in-a-pioneer-institution
#13
Miguel Ángel González-Block
Objective: To analyze the scope of demand subsidies through strategic purchasing of health services. Materials and methods: Interviews and document analyses at national level and a case study of the state of Hidalgo. Results: SPSS explicitly prioritizes interventions to be financed and regulates prices and expenditure ceilings. Public providers are predominantly funded through the purchasing of inputs and the contracting of human resources, in the absence of competition and with a low degree of managerial autonomy...
January 2017: Salud Pública de México
https://www.readbyqxmd.com/read/28422062/cross-layer-design-for-optimizing-transmission-reliability-energy-efficiency-and-lifetime-in-body-sensor-networks
#14
Xi Chen, Yixuan Xu, Anfeng Liu
High transmission reliability, energy efficiency, and long lifetime are pivotal issues for wireless body area networks (WBANs. However, these performance metrics are not independent of each other, making it hard to obtain overall improvements through optimizing one single aspect. Therefore, a Cross Layer Design Optimal (CLDO) scheme is proposed to simultaneously optimize transmission reliability, energy efficiency, and lifetime of WBANs from several layers. Firstly, due to the fact that the transmission power of nodes directly influences the reliability of links, the optimized transmission power of different nodes is deduced, which is able to maximize energy efficiency in theory under the premise that requirements on delay and jitter are fulfilled...
April 19, 2017: Sensors
https://www.readbyqxmd.com/read/28420102/efficient-actor-recovery-paradigm-for-wireless-sensor-and-actor-networks
#15
Reem K Mahjoub, Khaled Elleithy
The actor nodes are the spine of wireless sensor and actor networks (WSANs) that collaborate to perform a specific task in an unverified and uneven environment. Thus, there is a possibility of high failure rate in such unfriendly scenarios due to several factors such as power consumption of devices, electronic circuit failure, software errors in nodes or physical impairment of the actor nodes and inter-actor connectivity problem. Therefore, it is extremely important to discover the failure of a cut-vertex actor and network-disjoint in order to improve the Quality-of-Service (QoS)...
April 14, 2017: Sensors
https://www.readbyqxmd.com/read/28419657/a-new-approach-to-clinical-research-integrating-clinical-care-quality-reporting-and-research-using-a-wound-care-network-based-learning-healthcare-system
#16
Thomas E Serena, Caroline E Fife, Kristen A Eckert, Raphael A Yaakov, Marissa J Carter
The disparity between ideal evidence from randomized controlled trials and real-world evidence in medical research has prompted the United States Food and Drug Administration to consider the use of real-world data to better understand safety and effectiveness of new devices for a broader patient population and to prioritize real-world data in regulatory decision making. As the healthcare system transitions from volume- to value-based care, there is a growing need to harness the power of real-world data to change the paradigm for wound care clinical research and enable more generalizable clinical trials...
April 17, 2017: Wound Repair and Regeneration
https://www.readbyqxmd.com/read/28418738/real-time-surveillance-of-infectious-diseases-taiwan-s-experience
#17
Shu-Wan Jian, Chiu-Mei Chen, Cheng-Yi Lee, Ding-Ping Liu
Integration of multiple surveillance systems advances early warning and supports better decision making during infectious disease events. Taiwan has a comprehensive network of laboratory, epidemiologic, and early warning surveillance systems with nationwide representation. Hospitals and clinical laboratories have deployed automatic reporting mechanisms since 2014 and have effectively improved timeliness of infectious disease and laboratory data reporting. In June 2016, the capacity of real-time surveillance in Taiwan was externally assessed and was found to have a demonstrated and sustainable capability...
March 2017: Health Security
https://www.readbyqxmd.com/read/28418593/nonparametric-tree-based-predictive-modeling-of-storm-outages-on-an-electric-distribution-network
#18
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/28418404/a-pathway-linking-reward-circuitry-impulsive-sensation-seeking-and-risky-decision-making-in-young-adults-identifying-neural-markers-for-new-interventions
#19
H W Chase, J C Fournier, M A Bertocci, T Greenberg, H Aslam, R Stiffler, J Lockovich, S Graur, G Bebko, E E Forbes, M L Phillips
High trait impulsive sensation seeking (ISS) is common in 18-25-year olds, and is associated with risky decision-making and deleterious outcomes. We examined relationships among: activity in reward regions previously associated with ISS during an ISS-relevant context, uncertain reward expectancy (RE), using fMRI; ISS impulsivity and sensation-seeking subcomponents; and risky decision-making in 100, transdiagnostically recruited 18-25-year olds. ISS, anhedonia, anxiety, depression and mania were measured using self-report scales; clinician-administered scales also assessed the latter four...
April 18, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28408414/posterior-parietal-cortex-guides-visual-decisions-in-rats
#20
Angela M Licata, Matthew T Kaufman, David Raposo, Michael B Ryan, John P Sheppard, Anne K Churchland
Neurons in putative decision-making structures can reflect both sensory and decision signals, making their causal role in decisions unclear. Here, we tested whether rat posterior parietal cortex (PPC) is causal for processing visual sensory signals or instead for accumulating evidence for decision alternatives. We optogenetically disrupted PPC activity during decision-making and compared effects on decisions guided by auditory vs. visual evidence. Deficits were largely restricted to visual decisions. To further test for visual dominance in PPC, we evaluated electrophysiological responses following individual sensory events and observed much larger response modulation following visual stimuli than auditory stimuli...
April 13, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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