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https://www.readbyqxmd.com/read/28329829/-end-of-life-care-i-m-not-going-to-worry-about-that-yet-health-literacy-gaps-and-end-of-life-planning-among-elderly-dialysis-patients
#1
Keren Ladin, Katie Buttafarro, Emily Hahn, Susan Koch-Weser, Daniel E Weiner
Purpose: Between 2000 and 2012, the incident dialysis population in the United States increased by nearly 60%, most sharply among adults 75 years and older. End-of-life (EOL) conversations among dialysis patients are associated with better patient-centered outcomes and lower use of aggressive interventions in the last month of life. This study examined how health literacy may affect engagement, comprehension, and satisfaction with EOL conversations among elderly dialysis patients. Design and Methods: Qualitative/descriptive study with semi-structured interviews about health literacy, EOL conversations, and goals of care with 31 elderly dialysis patients at 2 centers in Boston...
March 10, 2017: Gerontologist
https://www.readbyqxmd.com/read/28329795/construct-validation-of-wenger-s-support-network-typology
#2
Agnes Szabo, Christine Stephens, Joanne Allen, Fiona Alpass
Objectives: The study aimed to validate Wenger's empirically derived support network typology of responses to the Practitioner Assessment of Network Type (PANT) in an older New Zealander population. The configuration of network types was tested across ethnic groups and in the total sample. Method: Data (N = 872, Mage = 67 years, SDage = 1.56 years) from the 2006 wave of the New Zealand Health, Work and Retirement study were analyzed using latent profile analysis...
October 7, 2016: Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
https://www.readbyqxmd.com/read/28329014/prediction-of-chronic-damage-in-systemic-lupus-erythematosus-by-using-machine-learning-models
#3
Fulvia Ceccarelli, Marco Sciandrone, Carlo Perricone, Giulio Galvan, Francesco Morelli, Luis Nunes Vicente, Ilaria Leccese, Laura Massaro, Enrica Cipriano, Francesca Romana Spinelli, Cristiano Alessandri, Guido Valesini, Fabrizio Conti
OBJECTIVE: The increased survival in Systemic Lupus Erythematosus (SLE) patients implies the development of chronic damage, occurring in up to 50% of cases. Its prevention is a major goal in the SLE management. We aimed at predicting chronic damage in a large monocentric SLE cohort by using neural networks. METHODS: We enrolled 413 SLE patients (M/F 30/383; mean age ± SD 46.3±11.9 years; mean disease duration ± SD 174.6 ± 112.1 months). Chronic damage was assessed by the SLICC/ACR Damage Index (SDI)...
2017: PloS One
https://www.readbyqxmd.com/read/28328983/novel-keyword-co-occurrence-network-based-methods-to-foster-systematic-reviews-of-scientific-literature
#4
Srinivasan Radhakrishnan, Serkan Erbis, Jacqueline A Isaacs, Sagar Kamarthi
Systematic reviews of scientific literature are important for mapping the existing state of research and highlighting further growth channels in a field of study, but systematic reviews are inherently tedious, time consuming, and manual in nature. In recent years, keyword co-occurrence networks (KCNs) are exploited for knowledge mapping. In a KCN, each keyword is represented as a node and each co-occurrence of a pair of words is represented as a link. The number of times that a pair of words co-occurs in multiple articles constitutes the weight of the link connecting the pair...
2017: PloS One
https://www.readbyqxmd.com/read/28328925/a-source-controlled-data-center-network-model
#5
Yang Yu, Mangui Liang, Zhe Wang
The construction of data center network by applying SDN technology has become a hot research topic. The SDN architecture has innovatively separated the control plane from the data plane which makes the network more software-oriented and agile. Moreover, it provides virtual multi-tenancy, effective scheduling resources and centralized control strategies to meet the demand for cloud computing data center. However, the explosion of network information is facing severe challenges for SDN controller. The flow storage and lookup mechanisms based on TCAM device have led to the restriction of scalability, high cost and energy consumption...
2017: PloS One
https://www.readbyqxmd.com/read/28326294/the-eukaryote-like-serine-threonine-kinase-stk-regulates-the-growth-and-metabolism-of-zoonotic-streptococcus-suis
#6
Chunyan Zhang, Wen Sun, Meifang Tan, Mengmeng Dong, Wanquan Liu, Ting Gao, Lu Li, Zhuofei Xu, Rui Zhou
Like eukaryotes, bacteria express one or more serine/threonine kinases (STKs) that initiate diverse signaling networks. The STK from Streptococcus suis is encoded by a single-copy stk gene, which is crucial in stress response and virulence. To further understand the regulatory mechanism of STK in S. suis, a stk deletion strain (Δstk) and its complementary strain (CΔstk) were constructed to systematically decode STK characteristics by applying whole transcriptome RNA sequencing (RNA-Seq) and phosphoproteomic analysis...
2017: Frontiers in Cellular and Infection Microbiology
https://www.readbyqxmd.com/read/28325573/brain-network-characteristics-separating-individuals-at-clinical-high-risk-for-psychosis-into-normality-or-psychosis
#7
Soo-Hee Choi, Sunghyon Kyeong, Kang Ik K Cho, Je-Yeon Yun, Tae Young Lee, Hye Yoon Park, Sung Nyun Kim, Jun Soo Kwon
We aimed to separate individuals at clinical high risk for psychosis (CHR) state into subgroups according to neurobiological characteristics using structural and functional network constructs and examine their clinical characteristics. Structural diffusion tensor imaging and resting-state functional magnetic resonance imaging were performed in 61 healthy controls (HC), 57 individuals at CHR and 29 patients with schizophrenia (SZ). The main outcome was a likelihood ratio calculated from measures of structural and functional network efficiencies, coupling strength of structural and functional networks, and a disease-specific data analysis, resulting in the most probable classification of CHR into HC or SZ...
March 18, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28324836/pahs-behavior-in-surface-water-and-groundwater-of-the-yellow-river-estuary-evidence-from-isotopes-and-hydrochemistry
#8
Jing Li, Fadong Li, Qiang Liu
Large-scale irrigation projects have impacted the regional surface-groundwater interactions in the North China Plain (NCP). Given this concern, the aim of this study is to evaluate levels of PAH pollution, identify the sources of the PAHs, analyze the influence of surface-groundwater interactions on PAH distribution, and propose urgent management strategies for PAHs in China's agricultural areas. PAH concentrations, hydrochemical indicators and stable isotopic compositions (δ(18)O and δ(2)H) were determined for surface water (SW) and groundwater (GW) samples...
March 18, 2017: Chemosphere
https://www.readbyqxmd.com/read/28324731/basement-membranes
#9
Ranjay Jayadev, David R Sherwood
Basement membranes (BMs) are thin, dense sheets of specialized, self-assembled extracellular matrix that surround most animal tissues (Figure 1, top). The emergence of BMs coincided with the origin of multicellularity in animals, suggesting that they were essential for the formation of tissues. Their sheet-like structure derives from two independent polymeric networks - one of laminin and one of type IV collagen (Figure 1, bottom). These independent collagen and laminin networks are thought to be linked by several additional extracellular matrix proteins, including nidogen and perlecan (Figure 1, bottom)...
March 20, 2017: Current Biology: CB
https://www.readbyqxmd.com/read/28324707/chemical-structure-based-predictive-model-for-the-oxidation-of-trace-organic-contaminants-by-sulfate-radical
#10
Tiantian Ye, Zongsu Wei, Richard Spinney, Chong-Jian Tang, Shuang Luo, Ruiyang Xiao, Dionysios D Dionysiou
Second-order rate constants [Formula: see text] for the reaction of sulfate radical anion (SO4(•-)) with trace organic contaminants (TrOCs) are of scientific and practical importance for assessing their environmental fate and removal efficiency in water treatment systems. Here, we developed a chemical structure-based model for predicting [Formula: see text] using 32 molecular fragment descriptors, as this type of model provides a quick estimate at low computational cost. The model was constructed using the multiple linear regression (MLR) and artificial neural network (ANN) methods...
March 6, 2017: Water Research
https://www.readbyqxmd.com/read/28322828/metabolic-characterization-of-human-aqueous-humor-in-relation-to-high-myopia
#11
Yinghong Ji, Jun Rao, Xianfang Rong, Shang Lou, Zhi Zheng, Yi Lu
High myopia is the common eye disorder worldwide, which may contribute to increase the risk of serious disorders including glaucoma and cataract. Although various studies including genomics, transcriptomics, and proteomics have been implicated to identify potential biomarkers (genes or proteins) for predicting high myopia and to reveal the underlying mechanisms, the comprehensive metabolomics in relation to high myopia is very limited. In this study, we identified 242 metabolites in aqueous humor (AH) from a set of 40 patients (including 20 with high myopia and 20 for controls), using a non-targeted metabolomic technology, gas chromatography coupled to time-of-flight mass spectrometer (GC/TOF MS)...
March 17, 2017: Experimental Eye Research
https://www.readbyqxmd.com/read/28322330/distribution-of-bathyarchaeota-communities-across-different-terrestrial-settings-and-their-potential-ecological-functions
#12
Xing Xiang, Ruicheng Wang, Hongmei Wang, Linfeng Gong, Baiying Man, Ying Xu
High abundance and widespread distribution of the archaeal phylum Bathyarchaeota in marine environment have been recognized recently, but knowledge about Bathyarchaeota in terrestrial settings and their correlation with environmental parameters is fairly limited. Here we reported the abundance of Bathyarchaeota members across different ecosystems and their correlation with environmental factors by constructing 16S rRNA clone libraries of peat from the Dajiuhu Peatland, coupling with bioinformatics analysis of 16S rRNA data available to date in NCBI database...
March 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28322230/reconstruction-of-noise-driven-nonlinear-networks-from-node-outputs-by-using-high-order-correlations
#13
Yang Chen, Zhaoyang Zhang, Tianyu Chen, Shihong Wang, Gang Hu
Many practical systems can be described by dynamic networks, for which modern technique can measure their outputs, and accumulate extremely rich data. Nevertheless, the network structures producing these data are often deeply hidden in the data. The problem of inferring network structures by analyzing the available data, turns to be of great significance. On one hand, networks are often driven by various unknown facts, such as noises. On the other hand, network structures of practical systems are commonly nonlinear, and different nonlinearities can provide rich dynamic features and meaningful functions of realistic networks...
March 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28320679/synchronization-of-coupled-reaction-diffusion-neural-networks-with-directed-topology-via-an-adaptive-approach
#14
Hao Zhang, Yin Sheng, Zhigang Zeng
This paper investigates the synchronization issue of coupled reaction-diffusion neural networks with directed topology via an adaptive approach. Due to the complexity of the network structure and the presence of space variables, it is difficult to design proper adaptive strategies on coupling weights to accomplish the synchronous goal. Under the assumptions of two kinds of special network structures, that is, directed spanning path and directed spanning tree, some novel edge-based adaptive laws, which utilized the local information of node dynamics fully are designed on the coupling weights for reaching synchronization...
March 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28320388/exploring-the-fgfr3-related-oncogenic-mechanism-in-bladder-cancer-using-bioinformatics-strategy
#15
Wei Cao, Enguang Ma, Li Zhou, Tan Yuan, Chunying Zhang
BACKGROUND: Aberrant activation of fibroblast growth factor receptor 3 (FGFR3) is frequently observed in bladder cancer, but how it involved in carcinogenesis is not well understood. The current study was aimed to investigate the underlying mechanism on the progression of bladder cancer. METHODS: The GSE41035 dataset downloaded from Gene Expression Omnibus was used to identify the differentially expressed genes (DEGs) between bladder cancer cell line RT112 with or without depletion of FGFR3, and gene ontology enrichment analysis was performed...
March 20, 2017: World Journal of Surgical Oncology
https://www.readbyqxmd.com/read/28320358/preservation-affinity-in-consensus-modules-among-stages-of-hiv-1-progression
#16
Sk Md Mosaddek Hossain, Sumanta Ray, Anirban Mukhopadhyay
BACKGROUND: Analysis of gene expression data provides valuable insights into disease mechanism. Investigating relationship among co-expression modules of different stages is a meaningful tool to understand the way in which a disease progresses. Identifying topological preservation of modular structure also contributes to that understanding. METHODS: HIV-1 disease provides a well-documented progression pattern through three stages of infection: acute, chronic and non-progressor...
March 20, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28320078/comparison-of-the-sensitivity-to-change-of-the-36-item-short-form-health-survey-and-the-lupusqol-using-various-definitions-of-minimal-clinically-important-differences-in-patients-with-active-systemic-lupus-erythematosus
#17
Stephanie G Nantes, Vibeke Strand, Jiandong Su, Zahi Touma
OBJECTIVES: Medical Outcomes Study Short-Form 36 (SF-36) and LupusQoL are Health-Related Quality-of-Life (HRQoL) questionnaires used in systemic lupus erythematosus (SLE). We determined the hypothesis testing construct validity of SF-36 and LupusQoL against disease activity in patients with active SLE and 2) compared the sensitivity to change of SF-36 and LupusQoL domains according to different definitions of Minimal Clinically Important Differences (MCID) for improvement and worsening in the current cohort...
March 20, 2017: Arthritis Care & Research
https://www.readbyqxmd.com/read/28319760/improved-prediction-of-higher-heating-value-of-biomass-using-an-artificial-neural-network-model-based-on-proximate-analysis
#18
Harun Uzun, Zeynep Yıldız, Jillian L Goldfarb, Selim Ceylan
As biomass becomes more integrated into our energy feedstocks, the ability to predict its combustion enthalpies from routine data such as carbon, ash, and moisture content enables rapid decisions about utilization. The present work constructs a novel artificial neural network model with a 3-3-1 tangent sigmoid architecture to predict biomasses' higher heating values from only their proximate analyses, requiring minimal specificity as compared to models based on elemental composition. The model presented has a considerably higher correlation coefficient (0...
March 9, 2017: Bioresource Technology
https://www.readbyqxmd.com/read/28319361/block-copolymer-templated-hierarchical-porous-carbon-nanostructures-with-nitrogen-rich-functional-groups-for-molecular-sensing
#19
Ya-Sen Sun, Chien-Fu Lin, Shih-Ting Luo, Ching-Yuan Su
The self-assembly of a block copolymer offers access to micellar nanodomains with tunable dimensions and structural diversity through control of such molecular parameters as the volume fraction and molecular mass. We fabricated hierarchical porous carbon (HPC) nanostructures with bundles of aggregated nanospheres and with nitrogen-rich functional groups through pyrolysis of diblock copolymer micelles in multiple layers. The resultant HPC nanostructures with a considerable specific surface area serve as an excellent substrate for surface-enhanced Raman spectroscopy (SERS), coupled with fluorescence quenching, for molecular sensing of physically adsorbed Rhodamine 6G...
March 20, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28318903/understanding-human-intention-by-connecting-perception-and-action-learning-in-artificial-agents
#20
Sangwook Kim, Zhibin Yu, Minho Lee
To develop an advanced human-robot interaction system, it is important to first understand how human beings learn to perceive, think, and act in an ever-changing world. In this paper, we propose an intention understanding system that uses an Object Augmented-Supervised Multiple Timescale Recurrent Neural Network (OA-SMTRNN) and demonstrate the effects of perception-action connected learning in an artificial agent, which is inspired by psychological and neurological phenomena in humans. We believe that action and perception are not isolated processes in human mental development, and argue that these psychological and neurological interactions can be replicated in a human-machine scenario...
February 11, 2017: Neural Networks: the Official Journal of the International Neural Network Society
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