Now showing items 1-10 of 96
A Longitudinal Study of the Dimensions of Disciplinary Culture to Enhance Innovation and Retention among Engineering Students
The U.S. engineering educational system has been generally slow in developing pedagogies that successfully promote innovative behaviors. Although numerous sources recognize the growing scope and complexity of challenges ...
Patient Views of Mild Cognitive Impairment
(Center for Gerontology, Virginia Tech, 2007-11)
Health, Spirituality and Environmental Concern: Older Women's Perspectives on the Natural Environment
(Center for Gerontology and Dept. of Human Development, Virginia Polytechnic Institute and State University, 2007-11)
Intimate Partner Violence Among Older Adults: Bridging the Disciplinary Divide
(Center for Gerontology and Dept. of Human Development Virginia Polytechnic Institute and State University and the Women's Resource Center of the New River Valley, 2009-11)
Understanding and Building Effective Narrative on Veteran Experiences to Compel Program and Policy Action
Virginia has the third highest per capita population of veterans, and the seventh highest in total population. Many of these veterans are faced with wide-ranging and complex health issues, which vary greatly depending on ...
Veterans and Broadband Access in Virginia: Implications for Healthcare Planning and Policy
(Virginia Tech; Veterans in Society: Changing the Discourse, 2013-04-15)
The paper summarizes results and ongoing research into the implication of broadband access and utilization as a means to improve veterans' health care services and coordination. The study examines (a) broadband access, ...
CrowdLayout: Crowdsourced Design and Evaluation of Biological Network Visualizations
Biologists often perform experiments whose results generate large quantities of data, such as interactions between molecules in a cell, that are best represented as networks (graphs). To visualize these networks and ...
Man vs. Machine: Practical Adversarial Detection of Malicious Crowdsourcing Workers
Recent work in security and systems has embraced the use of machine learning (ML) techniques for identifying misbehavior, e.g. email spam and fake (Sybil) users in social networks. However, ML models are typically derived ...
Social Turing Tests: Crowdsourcing Sybil Detection
(Internet Society, 2013-02)
As popular tools for spreading spam and malware, Sybils (or fake accounts) pose a serious threat to online communities such as Online Social Networks (OSNs). Today, sophisticated attackers are creating realistic Sybils ...
Detecting Malicious Landing Pages in Malware Distribution Networks
Drive-by download attacks attempt to compromise a victim’s computer through browser vulnerabilities. Often they are launched from Malware Distribution Networks (MDNs) consisting of landing pages to attract traffic, ...