scholarly journals An integrated network approach identifies the isobutanol response network ofEscherichia coli

2009 ◽  
Vol 5 (1) ◽  
pp. 277 ◽  
Author(s):  
Mark P Brynildsen ◽  
James C Liao
Keyword(s):  
Ofescherichia Coli ◽  
Network Approach ◽  
Integrated Network ◽  
Response Network

scholarly journals The spatial and temporal dynamics of global meat trade networks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Min Gon Chung ◽  
Kelly Kapsar ◽  
Kenneth A. Frank ◽  
Jianguo Liu
Keyword(s):  
Structural Changes ◽  
Temporal Dynamics ◽  
Meat Products ◽  
Network Approach ◽  
Integrated Network ◽  
Global Networks ◽  
Trade Networks ◽  
Environmental Consequences ◽  
Spatial And Temporal Dynamics ◽  
And Cluster Analysis

Abstract Rapid increases in meat trade generate complex global networks across countries. However, there has been little research quantifying the dynamics of meat trade networks and the underlying forces that structure them. Using longitudinal network data for 134 countries from 1995 to 2015, we combined network modeling and cluster analysis to simultaneously identify the structural changes in meat trade networks and the factors that influence the networks themselves. The integrated network approach uncovers a general consolidation of global meat trade networks over time, although some global events may have weakened this consolidation both regionally and globally. In consolidated networks, the presence of trade agreements and short geographic distances between pairs of countries are associated with increases in meat trade. Countries with rapid population and income growth greatly depend on meat imports. Furthermore, countries with high food availability import large quantities of meat products to satisfy their various meat preferences. The findings from this network approach provide key insights that can be used to better understand the social and environmental consequences of increasing global meat trade.

Integrated network approach of evacuation simulation for large complex buildings

2009 ◽  
Vol 44 (2) ◽  
pp. 266-275 ◽  
Author(s):  
J.P. Yuan ◽  
Z. Fang ◽  
Y.C. Wang ◽  
S.M. Lo ◽  
P. Wang
Keyword(s):  
Network Approach ◽  
Evacuation Simulation ◽  
Integrated Network ◽  
Large Complex

The Laboratory Response Network: Its role in times of disaster

2007 ◽  
Vol 5 (6) ◽  
pp. 45
Author(s):  
Isaac D. Montoya, PhD, CHS, CLS, CMC ◽  
Olive M. Kimball, PhD, EdD
Keyword(s):  
Public Health ◽  
Integrated Network ◽  
Local Public Health ◽  
Federal Bureau Of Investigation ◽  
Public Health Emergencies ◽  
Chemical Terrorism ◽  
Response Network ◽  
Control And Prevention ◽  
State And Local ◽  
The Military

The Laboratory Response Network (LRN) was established by the Centers for Disease Control and Prevention. Today, the LRN is charged with the task of maintaining an integrated network of state and local public health, federal, military, and international laboratories that can respond to bioterrorism, chemical terrorism, and other public health emergencies. The more than 150 laboratories that make up the current LRN are affiliated with federal agencies, military installations, international partners, and state and local public health departments. Laboratories in the network may accept samples from hospitals, clinics, the Federal Bureau of Investigation, other law enforcement groups, emergency medical services, and the military and other agencies. All of the LRN laboratories use the same protocols and validated methods to ensure rapid and certain identification of dangerous biologic agents that cause anthrax, botulism, plague, tularemia, brucellosis, and other illnesses.

Comparing Methods for Measuring Walkability

2021 ◽  
Vol 30 (4) ◽  
pp. 539-565
Author(s):  
Aaron Bramson ◽  
◽  
Kazuto Okamoto ◽  
Megumi Hori ◽  
◽  
...  
Keyword(s):  
Road Network ◽  
Processing Time ◽  
Network Node ◽  
Network Approach ◽  
Algorithm Performance ◽  
Integrated Network ◽  
Fully Integrated ◽  
Network Information ◽  
Network Method

Walkability analyses have gained increased attention for economic, environmental and health reasons, but the methods for assessing walkability have yet to be broadly evaluated. In this paper, five methods for calculating walkability scores are described: in-radius, circle buffers, road network node buffers, road network edge buffers and a fully integrated network approach. Unweighted and various weighted versions are analyzed to capture levels of preference for walking longer distances. The methods are evaluated via an application to train stations in central Tokyo in terms of accuracy, similarity and algorithm performance. The fully integrated network method produces the most accurate results in the shortest amount of processing time, but requires a large upfront investment of time and resources. The circle buffer method runs a bit slower, but does not require any network information and when properly weighted yields walkability scores very similar to the integrated network approach.

The Collaborative Network Approach: a model for advancing patient-centric research for Castleman disease and other rare diseases

2019 ◽  
Vol 3 (1) ◽  
pp. 97-105
Author(s):  
Mary Zuccato ◽  
Dustin Shilling ◽  
David C. Fajgenbaum
Keyword(s):  
Rare Diseases ◽  
Treatment Options ◽  
Castleman Disease ◽  
High Impact ◽  
Collaborative Network ◽  
Network Approach ◽  
Grant Applications ◽  
Research Questions ◽  
Novel Strategy ◽  
Patient Centric

Abstract There are ∼7000 rare diseases affecting 30 000 000 individuals in the U.S.A. 95% of these rare diseases do not have a single Food and Drug Administration-approved therapy. Relatively, limited progress has been made to develop new or repurpose existing therapies for these disorders, in part because traditional funding models are not as effective when applied to rare diseases. Due to the suboptimal research infrastructure and treatment options for Castleman disease, the Castleman Disease Collaborative Network (CDCN), founded in 2012, spearheaded a novel strategy for advancing biomedical research, the ‘Collaborative Network Approach’. At its heart, the Collaborative Network Approach leverages and integrates the entire community of stakeholders — patients, physicians and researchers — to identify and prioritize high-impact research questions. It then recruits the most qualified researchers to conduct these studies. In parallel, patients are empowered to fight back by supporting research through fundraising and providing their biospecimens and clinical data. This approach democratizes research, allowing the entire community to identify the most clinically relevant and pressing questions; any idea can be translated into a study rather than limiting research to the ideas proposed by researchers in grant applications. Preliminary results from the CDCN and other organizations that have followed its Collaborative Network Approach suggest that this model is generalizable across rare diseases.

Sign in / Sign up

Export Citation Format

Share Document