A Systematic Framework to Assess EMRs and EHRs

2018 ◽  
pp. 403-413
Author(s):  
Rima Gibbings ◽  
Nilmini Wickramasinghe
Keyword(s):  
Systematic Framework

Scoring divergent thinking tests: A review and systematic framework.

2019 ◽  
Vol 13 (2) ◽  
pp. 144-152 ◽  
Author(s):  
Roni Reiter-Palmon ◽  
Boris Forthmann ◽  
Baptiste Barbot
Keyword(s):  
Divergent Thinking ◽  
Systematic Framework

scholarly journals Systematic Framework toward a Highly Reliable Approach in Metal Accounting

2020 ◽  
pp. 1-15 ◽  
Author(s):  
Yousef Ghorbani ◽  
Glen T. Nwaila ◽  
Munyar Chirisa
Keyword(s):  
Systematic Framework

PROBE2.0: A Systematic Framework for Routability Assessment from Technology to Design in Advanced Nodes

2021 ◽  
pp. 1-1
Author(s):  
Chung-Kuan Cheng ◽  
Andrew B. Kahng ◽  
Hayoung Kim ◽  
Minsoo Kim ◽  
Daeyeal Lee ◽  
...  
Keyword(s):  
Systematic Framework

A Systematic Framework for Composite Hypothesis Testing of Independent Bernoulli Trials

2015 ◽  
Vol 22 (9) ◽  
pp. 1249-1253 ◽  
Author(s):  
D. Ciuonzo ◽  
A. De Maio ◽  
P. Salvo Rossi
Keyword(s):  
Hypothesis Testing ◽  
Bernoulli Trials ◽  
Composite Hypothesis ◽  
Systematic Framework

A Systematic Framework for the Design and Implementation of a Quality Management Practice: The Case of a Consulting Engineering Company

2016 ◽  
Vol 25 (4) ◽  
pp. 49-61
Author(s):  
Herlander Mata-Lima ◽  
Fernando Morgado-Dias ◽  
Marina Carrato Galuzzi da Silva ◽  
Kelly Alcântara ◽  
José António Almeida
Keyword(s):  
Quality Management ◽  
Management Practice ◽  
Design And Implementation ◽  
Engineering Company ◽  
Systematic Framework ◽  
Consulting Engineering

scholarly journals A Systematic Framework for Drug Repositioning from Integrated Omics and Drug Phenotype Profiles Using Pathway-Drug Network

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Erkhembayar Jadamba ◽  
Miyoung Shin
Keyword(s):  
Breast Cancer ◽  
Drug Repositioning ◽  
Expression Profiles ◽  
A Priori ◽  
Gene Expression Profiles ◽  
Biological Data ◽  
Genomic Knowledge ◽  
High Level ◽  
Systematic Framework ◽  
Phenotype Expression

Drug repositioning offers new clinical indications for old drugs. Recently, many computational approaches have been developed to repurpose marketed drugs in human diseases by mining various of biological data including disease expression profiles, pathways, drug phenotype expression profiles, and chemical structure data. However, despite encouraging results, a comprehensive and efficient computational drug repositioning approach is needed that includes the high-level integration of available resources. In this study, we propose a systematic framework employing experimental genomic knowledge and pharmaceutical knowledge to reposition drugs for a specific disease. Specifically, we first obtain experimental genomic knowledge from disease gene expression profiles and pharmaceutical knowledge from drug phenotype expression profiles and construct a pathway-drug network representing a priori known associations between drugs and pathways. To discover promising candidates for drug repositioning, we initialize node labels for the pathway-drug network using identified disease pathways and known drugs associated with the phenotype of interest and perform network propagation in a semisupervised manner. To evaluate our method, we conducted some experiments to reposition 1309 drugs based on four different breast cancer datasets and verified the results of promising candidate drugs for breast cancer by a two-step validation procedure. Consequently, our experimental results showed that the proposed framework is quite useful approach to discover promising candidates for breast cancer treatment.

A geostatistical approach to winter road surface condition estimation using mobile RWIS data

2019 ◽  
Vol 46 (6) ◽  
pp. 511-521
Author(s):  
Lian Gu ◽  
Tae J. Kwon ◽  
Tony Z. Qiu
Keyword(s):  
Robust Regression ◽  
Surface Condition ◽  
Road Surface ◽  
Road Maintenance ◽  
Surface Conditions ◽  
Modelling Framework ◽  
Geostatistical Approach ◽  
Winter Road ◽  
Systematic Framework

In winter, it is critical for cold regions to have a full understanding of the spatial variation of road surface conditions such that hot spots (e.g., black ice) can be identified for an effective mobilization of winter road maintenance operations. Acknowledging the limitations in present study, this paper proposes a systematic framework to estimate road surface temperature (RST) via the geographic information system (GIS). The proposed method uses a robust regression kriging method to take account for various geographical factors that may affect the variation of RST. A case study of highway segments in Alberta, Canada is used to demonstrate the feasibility and applicability of the method proposed herein. The findings of this study suggest that the geostatistical modelling framework proposed in this paper can accurately estimate RST with help of various covariates included in the model and further promote the possibility of continuous monitoring and visualization of road surface conditions.

scholarly journals Hotspots of boundary accumulation: dynamics and statistics of micro-swimmers in flowing films

2016 ◽  
Vol 13 (115) ◽  
pp. 20150936 ◽  
Author(s):  
Arnold J. T. M. Mathijssen ◽  
Amin Doostmohammadi ◽  
Julia M. Yeomans ◽  
Tyler N. Shendruk
Keyword(s):  
Solid Wall ◽  
Critical Value ◽  
Hydrodynamic Interactions ◽  
Critical Flow ◽  
Natural Environments ◽  
Flow Strength ◽  
Surfaces And Interfaces ◽  
Biological Flows ◽  
The Impact ◽  
Systematic Framework

Biological flows over surfaces and interfaces can result in accumulation hotspots or depleted voids of microorganisms in natural environments. Apprehending the mechanisms that lead to such distributions is essential for understanding biofilm initiation. Using a systematic framework, we resolve the dynamics and statistics of swimming microbes within flowing films, considering the impact of confinement through steric and hydrodynamic interactions, flow and motility, along with Brownian and run–tumble fluctuations. Micro-swimmers can be peeled off the solid wall above a critical flow strength. However, the interplay of flow and fluctuations causes organisms to migrate back towards the wall above a secondary critical value. Hence, faster flows may not always be the most efficacious strategy to discourage biofilm initiation. Moreover, we find run–tumble dynamics commonly used by flagellated microbes to be an intrinsically more successful strategy to escape from boundaries than equivalent levels of enhanced Brownian noise in ciliated organisms.

scholarly journals Evidence and theory for lower rates of depression in larger US urban areas

2021 ◽  
Vol 118 (31) ◽  
pp. e2022472118
Author(s):  
Andrew J. Stier ◽  
Kathryn E. Schertz ◽  
Nak Won Rim ◽  
Carlos Cardenas-Iniguez ◽  
Benjamin B. Lahey ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Determinants ◽  
Urban Areas ◽  
Urban Environments ◽  
City Size ◽  
Built Environments ◽  
Rural And Urban ◽  
Us Cities ◽  
Systematic Framework

It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual’s accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using four independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.

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