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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/28437867/robustness-assessment-of-urban-road-network-with-consideration-of-multiple-hazard-events
#2
Yaoming Zhou, Jiuh-Biing Sheu, Junwei Wang
Robustness measures a system's ability of being insensitive to disturbances. Previous studies assessed the robustness of transportation networks to a single disturbance without considering simultaneously happening multiple events. The purpose of this article is to address this problem and propose a new framework to assess the robustness of an urban transportation network. The framework consists of two layers. The upper layer is to define the robustness index based on the impact evaluation in different scenarios obtained from the lower layer, whereas the lower layer is to evaluate the performance of each hypothetical disrupted road network given by the upper layer...
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
#3
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
#4
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
#5
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/28437797/central-and-peripheral-vision-for-scene-recognition-a-neurocomputational-modeling-exploration
#6
Panqu Wang, Garrison W Cottrell
What are the roles of central and peripheral vision in human scene recognition? Larson and Loschky (2009) showed that peripheral vision contributes more than central vision in obtaining maximum scene recognition accuracy. However, central vision is more efficient for scene recognition than peripheral, based on the amount of visual area needed for accurate recognition. In this study, we model and explain the results of Larson and Loschky (2009) using a neurocomputational modeling approach. We show that the advantage of peripheral vision in scene recognition, as well as the efficiency advantage for central vision, can be replicated using state-of-the-art deep neural network models...
April 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28437789/comparative-proteomics-uncovers-correlated-signaling-network-and-potential-biomarkers-for-progression-of-prostate-cancer
#7
Jianzhong Ai, Yi Lu, Qiang Wei, Hong Li
BACKGROUND/AIMS: Prostate cancer is one of the most common cancers for males worldwide, and it is prone to show the metastatic foci in lymph node and bone with high mortality. To date, the potential mechanism and the corresponding biomarkers for metastatic prostate cancer are still lacking. Hence, our study aims to clarify the mechanism of prostate cancer progression and identify the useful biomarkers for metastatic prostate cancer. METHODS: The proteins and network tightly associated with tumor metastasis were identified using quantitative proteomics...
January 10, 2017: Cellular Physiology and Biochemistry
https://www.readbyqxmd.com/read/28437754/ion-concentration-effect-na-and-cl-on-lipid-vesicle-formation
#8
Qiong Wang, Wenman Li, Ning Hu, Xi Chen, Ting Fan, Zhenyu Wang, Zhong Yang, Marcos A Cheney, Jun Yang
Lipid vesicle formation is known to be suppressed in salt solutions, but the mechanism of this phenomenon remains unclear. In order to better understand this issue, the effect of salt concentrations (0-800mM) of sodium chloride on the behavior of L-α-phosphatidylcholine (PC) in aqueous solution was investigated in this work. The results showed that fusion among vesicles, micelles and bilayers may be essential for vesicle formation. With addition of ions and an increase in ion concentration, the lipids became constrained in lateral movement and packed increasingly tightly...
April 13, 2017: Colloids and Surfaces. B, Biointerfaces
https://www.readbyqxmd.com/read/28437727/new-inter-correlated-genes-targeted-by-diatom-derived-polyunsaturated-aldehydes-in-the-sea-urchin-paracentrotus-lividus
#9
Nadia Ruocco, Anna Maria Fedele, Susan Costantini, Giovanna Romano, Adrianna Ianora, Maria Costantini
The marine environment is continually subjected to the action of stressors (including natural toxins), which represent a constant danger for benthic communities. In the present work using network analysis we identified ten genes on the basis of associated functions (FOXA, FoxG, GFI-1, nodal, JNK, OneCut/Hnf6, TAK1, tcf4, TCF7, VEGF) in the sea urchin Paracentrotus lividus, having key roles in different processes, such as embryonic development and asymmetry, cell fate specification, cell differentiation and morphogenesis, and skeletogenesis...
April 21, 2017: Ecotoxicology and Environmental Safety
https://www.readbyqxmd.com/read/28437683/pink1-and-parkin-emerging-themes-in-mitochondrial-homeostasis
#10
REVIEW
Thomas G McWilliams, Miratul Mk Muqit
The Parkinson's disease (PD)-associated protein kinase, PTEN-induced putative kinase1 (PINK1), and ubiquitin E3 ligase, Parkin function in a common signalling pathway known to regulate mitochondrial network homeostasis and quality control, including mitophagy. The multistep activation of this pathway, as well as an unexpected convergence between the post-translational modifications of ubiquitylation and phosphorylation, has added breadth to our understanding of cellular damage responses during human disease...
April 21, 2017: Current Opinion in Cell Biology
https://www.readbyqxmd.com/read/28437664/upscaling-of-fungal-bacterial-interactions-from-the-lab-to-the-field
#11
REVIEW
Wietse de Boer
Fungal-bacterial interactions (FBI) are an integral component of microbial community networks in terrestrial ecosystems. During the last decade, the attention for FBI has increased tremendously. For a wide variety of FBI, information has become available on the mechanisms and functional responses. Yet, most studies have focused on pairwise interactions under controlled conditions. The question to what extent such studies are relevant to assess the importance of FBI for functioning of natural microbial communities in real ecosystems remains largely unanswered...
April 21, 2017: Current Opinion in Microbiology
https://www.readbyqxmd.com/read/28437634/convolutional-neural-network-regression-for-short-axis-left-ventricle-segmentation-in-cardiac-cine-mr-sequences
#12
Li Kuo Tan, Yih Miin Liew, Einly Lim, Robert A McLaughlin
Automated left ventricular (LV) segmentation is crucial for efficient quantification of cardiac function and morphology to aid subsequent management of cardiac pathologies. In this paper, we parameterize the complete (all short axis slices and phases) LV segmentation task in terms of the radial distances between the LV centerpoint and the endo- and epicardial contours in polar space. We then utilize convolutional neural network regression to infer these parameters. Utilizing parameter regression, as opposed to conventional pixel classification, allows the network to inherently reflect domain-specific physical constraints...
April 12, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28437616/neural-network-and-nearest-neighbour-algorithms-for-enhancing-sampling-of-molecular-dynamics
#13
Raimondas Galvelis, Yuji Sugita
The free energy calculations of complex chemical and biological systems with molecular dynamics (MD) are inefficient due to multiple local minima separated by high-energy barriers. The minima can be escaped using an enhanced sampling method such as metadynamics, which apply bias (i.e. importance sampling) along a set of collective variables (CV), but the maximum number of CVs (or dimensions) is severely limited. We propose a high-dimensional bias potential method (NN2B) based on two machine learning algorithms: the nearest neighbour density estimator (NNDE) and the artificial neural network (ANN) for the bias potential approximation...
April 24, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28437615/experimental-demonstration-of-feature-extraction-and-dimensionality-reduction-using-memristor-networks
#14
Shinhyun Choi, Jong Hoon Shin, Jihang Lee, Patrick Sheridan, Wei D Lu
Memristors have been considered as a leading candidate for a number of critical applications ranging from non-volatile memory to non-Von Neumann computing systems. Feature extraction, which aims to transform input data from a high dimensional space to a space with fewer dimensions, is an important technique widely used in machine learning and pattern recognition applications. Here, we experimentally demonstrate that memristor arrays can be used to perform principal component analysis (PCA), one of the most commonly-used feature extraction techniques, through online, unsupervised learning...
April 24, 2017: Nano Letters
https://www.readbyqxmd.com/read/28437614/engineering-highly-interconnected-neuronal-networks-on-nanowire-scaffolds
#15
Vini Gautam, Shagufta Naureen, Naeem Shahid, Qian Gao, Yi Wang, David R Nisbet, Chennupati Jagadish, Vincent R Daria
Identifying the specific role of physical guidance cues in the growth of neurons is crucial for understanding the fundamental biology of brain development and for designing scaffolds for tissue engineering. Here, we investigate the structural significance of nanoscale topographies as physical cues for neurite outgrowth and circuit formation by growing neurons on semiconductor nanowires. We monitored neurite growth using optical and scanning electron microscopy, and evaluated the spontaneous neuronal network activity using functional calcium imaging...
April 24, 2017: Nano Letters
https://www.readbyqxmd.com/read/28437577/high-gene-flow-despite-opposite-chirality-in-hybrid-zones-between-enantiomorphic-door-snails
#16
Eva L Koch, Marco T Neiber, Frank Walther, Bernhard Hausdorf
We studied differentiation and gene flow patterns between enantiomorphic door-snail species in two hybrid zones in the Bucegi Mountains (Romania) to investigate the effects of intrinsic barriers (complications in copulation) and extrinsic selection by environmental factors. A mitochondrial gene tree confirmed the historical separation of the examined populations into the dextral Alopia livida and the sinistral Alopia straminicollis in accordance with the morphological classification, but also indicated gene flow between the species...
April 24, 2017: Molecular Ecology
https://www.readbyqxmd.com/read/28437538/effects-of-diagnosis-by-newborn-screening-for-cystic-fibrosis-on-weight-and-length-in-the-first-year-of-life
#17
Daniel H Leung, Sonya L Heltshe, Drucy Borowitz, Daniel Gelfond, Margaret Kloster, James E Heubi, Michael Stalvey, Bonnie W Ramsey
Importance: Since the implementation of universal newborn screening (NBS) for cystic fibrosis (CF), the timing and magnitude of growth deficiency or its association with correlates of disease among infants with CF who underwent NBS has not been well described. Objective: To examine incremental weight gain, linear growth, and clinical features in the first year of life among infants with CF who underwent NBS. Design, Setting, and Participants: The Baby Observational and Nutrition Study (BONUS), a multicenter, longitudinal, observational cohort study, was conducted during regular CF clinic visits in the first 12 months of life at 28 US Cystic Fibrosis Foundation-accredited Care Centers from January 7, 2012, through May 31, 2015...
April 24, 2017: JAMA Pediatrics
https://www.readbyqxmd.com/read/28437512/dentist-practice-patterns-and-therapeutic-confidence-in-the-treatment-of-pain-related-to-temporomandibular-disorders-in-a-dental-practice-based-research-network
#18
Naoki Kakudate, Yoko Yokoyama, Futoshi Sumida, Yuki Matsumoto, Valeria V Gordan, Gregg H Gilbert, Ana M Velly, Eric L Schiffman
AIMS: To quantify the practice patterns of Japanese dentists in the management of pain related to temporomandibular disorders (TMD) and to identify specific characteristics that are significantly associated with the decision to perform occlusal adjustment for TMD-related pain. METHODS: A cross-sectional study was conducted consisting of a questionnaire survey of dentists affiliated with the Dental Practice-Based Research Network Japan (JDPBRN) (n = 148). Participants were asked how they diagnosed and treated TMD-related pain...
April 2017: Journal of Oral & Facial Pain and Headache
https://www.readbyqxmd.com/read/28437486/prediction-of-crime-occurrence-from-multi-modal-data-using-deep-learning
#19
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/28437479/conformational-dynamics-of-bacterial-trigger-factor-in-apo-and-ribosome-bound-states
#20
Mehmet Tarik Can, Zeynep Kurkcuoglu, Gokce Ezeroglu, Arzu Uyar, Ozge Kurkcuoglu, Pemra Doruker
The chaperone trigger factor (TF) binds to the ribosome exit tunnel and helps cotranslational folding of nascent chains (NC) in bacterial cells and chloroplasts. In this study, we aim to investigate the functional dynamics of fully-atomistic apo TF and its complex with 50S. As TF accomodates a high percentage of charged residues on its surface, the effect of ionic strength on TF dynamics is assessed here by performing five independent molecular dynamics (MD) simulations (total of 1.3 micro-second duration) at 29 mM and 150 mM ionic strengths...
2017: PloS One
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