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Institution

University of North Carolina at Charlotte

EducationCharlotte, North Carolina, United States
About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors manipulated applicant sex, applicant physical attractiveness, type of rater (120 students and 105 professional interviewers) and the type of job in a 2 times 2 × 2 ×2 times 2 design.
Abstract: Applicant sex, applicant physical attractiveness, type of rater (120 students and 105 professional employment interviewers) and the type of job were manipulated experimentally in a 2 times 2 × 2 times 2 design. Physical attractiveness of job candidates had the broadest influence on employment decisions. There was no main effect for applicant sex, but professional interviewers were biased in favour of female applicants while student raters were not. Also, as expected, professional interviewers rated job applicants less leniently than students did.

141 citations

Journal ArticleDOI
TL;DR: The results suggest that, for applications where problem solving and evaluation of information is important or where opportunity to train is minimal, then having a large tracked space so that the participant can walk around the virtual environment provides benefits over common virtual travel techniques.
Abstract: We describe a between-subjects experiment that compared four different methods of travel and their effect on cognition and paths taken in an immersive virtual environment (IVE). Participants answered a set of questions based on Crook's condensation of Bloom's taxonomy that assessed their cognition of the IVE with respect to knowledge, understanding and application, and higher mental processes. Participants also drew a sketch map of the IVE and the objects within it. The users' sense of presence was measured using the Steed-Usoh-Slater presence questionnaire. The participants' position and head orientation were automatically logged during their exposure to the virtual environment. These logs were later used to create visualizations of the paths taken. Path analysis, such as exploring the overlaid path visualizations and dwell data information, revealed further differences among the travel techniques. Our results suggest that, for applications where problem solving and evaluation of information is important or where opportunity to train is minimal, then having a large tracked space so that the participant can walk around the virtual environment provides benefits over common virtual travel techniques.

140 citations

Journal ArticleDOI
TL;DR: Postural control impairments are present in patients with a history of lateral ankle trauma and clinicians should exercise caution when using the uninjured contralateral limb as a reference of normal postural control, although further research should determine the optimal dosage, intensity, type of training, and a risk reduction/preventative effect associated with balance training after both acute and chronic ankle trauma.
Abstract: Despite the high incidence of lateral ankle sprains, the issue about whether postural control is impaired after acute or chronic injury is still unresolved. In addition, the literature is unclear if balance training, a commonly prescribed intervention, improves postural control after a history of lateral ankle trauma. Purpose: To conduct a meta-analysis on studies reporting the effects of lateral ankle trauma on postural control and how balance training affects postural control after acute and chronic lateral ankle trauma cumulatively and separately as moderating variables. Methods: Thirty-seven postural control studies qualified for inclusion in the meta-analysis. Twenty-five studies investigated postural control independent of an intervention, and 15 studies administered balance-training interventions. Separate analyses on the two types of studies calculated Hedges' g individual effect sizes (ES). Further, we explored moderating variables for both the postural stability and the intervention studies. Results: A significant cumulative effect size (ES) indicated that postural stability is impaired after a history of ankle injury (ES = 0.492, P < 0.0001). Moderator analysis revealed that both acute and chronic lateral ankle trauma negatively affected balance: a) acute: ES = 0.419, P < 0.0001, and b chronic, ES = 0.570, P < 0.0001. A third meta-analysis showed that balance training improves postural control (ES = -0.857, P < 0.0001). In addition, moderator variables indicated large ES for both types of ankle trauma. Conclusions: Postural control impairments are present in patients with a history of lateral ankle trauma. However, clinicians should exercise caution when using the uninjured contralateral limb as a reference of normal postural control. In addition, balance training improves postural control scores after both acute and lateral ankle trauma. However, further research should determine the optimal dosage, intensity, type of training, and a risk reduction/preventative effect associated with balance training after both acute and chronic ankle trauma.

140 citations

Journal ArticleDOI
TL;DR: This article synthesize educational, social, and behavioral science research on the effects of school racial, ethnic, and socioeconomic status composition on various adult life course outcomes that are crucial to this condition.
Abstract: Schools have a seminal role in preparing a society’s children for their adult responsibilities as workers, parents, friends, neighbors, and citizens. The United States, countries of the Organisation for Economic Co-operation and Development, Brazil, India, South Africa, and other multiethnic democratic nation-states have increasingly diverse demographic profiles that present challenges and opportunities for social cohesion. The focus of this chapter is the relationship between integrated schooling and social cohesion in nations such as these. The chapter’s central thesis is that schools that are racially, ethnically, and socioeconomically diverse lead to educational outcomes that undergird the attitudinal antecedents to and structural conditions for social cohesion in multiethnic, democratic societies. Using the United States as a case study, the chapter synthesizes educational, social, and behavioral science research on the effects of school racial, ethnic, and socioeconomic status (SES) composition on various adult life course outcomes that are crucial to this condition. It is necessary to explore this topic using the United States as a case study because the English language literature on integrated schooling, life course outcomes, and social cohesion in other multiethnic democracies is rather limited. Before reviewing the relevant literature on this relationship, it is necessary to problematize the concepts of democracy and social cohesion, both of which have multiple contested meanings. We do not employ the constructs of democracy and social cohesion uncritically. Although a full explication of the nuanced and complicated nature of the debates surrounding social cohesion and democracy is not possible in this chapter, it is important to acknowledge that simplistic conceptualizations of either

140 citations

Journal ArticleDOI
TL;DR: This paper proposes an online proactive caching scheme based on bidirectional deep recurrent neural network (BRNN) model to predict time-series content requests and update edge caching accordingly and demonstrates that the proposed approach can achieve considerably high prediction accuracy and significantly improve content hit rate of end devices.
Abstract: With emergence of Internet of Things (IoT), wireless traffic has grown dramatically, posing severe strain on core network and backhaul bandwidth. Proactive caching in mobile edge computing systems can not only efficiently mitigate the traffic congestion and relieve burden of backhaul but also can reduce the service latency for end devices. However, proactive caching heavily relies on the prediction accuracy of content popularity, which is typically unknown and change over time. In this paper, we propose an online proactive caching scheme based on bidirectional deep recurrent neural network (BRNN) model to predict time-series content requests and update edge caching accordingly. Specifically, on the first layer, a 1-D convolution neural network (CNN) is devised to reduce the computational costs. Then, BRNN is employed to predict time-varying requests from users. Afterward, a fully connected neural network (FCNN) is harnessed to learn and sample predicts from the BRNN. Finally, we conduct experiments based on real datasets, which demonstrate that the proposed approach can achieve considerably high prediction accuracy and significantly improve content hit rate of end devices.

140 citations


Authors

Showing all 8936 results

NameH-indexPapersCitations
Chao Zhang127311984711
E. Magnus Ohman12462268976
Staffan Kjelleberg11442544414
Kenneth L. Davis11362261120
David Wilson10275749388
Michael Bauer100105256841
David A. B. Miller9670238717
Ashutosh Chilkoti9541432241
Chi-Wang Shu9352956205
Gang Li9348668181
Tiefu Zhao9059336856
Juan Carlos García-Pagán9034825573
Denise C. Park8826733158
Santosh Kumar80119629391
Chen Chen7685324974
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202361
2022231
20211,470
20201,561
20191,489
20181,318