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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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Proceedings ArticleDOI
10 Apr 2010
TL;DR: This paper explored the needs and concerns of users, resulting in a set of design considerations for tagged photo privacy, and designed a privacy enhancing mechanism based on these findings, and validated it using a mixed methods approach.
Abstract: Photo tagging is a popular feature of many social network sites that allows users to annotate uploaded images with those who are in them, explicitly linking the photo to each person's profile. In this paper, we examine privacy concerns and mechanisms surrounding these tagged images. Using a focus group, we explored the needs and concerns of users, resulting in a set of design considerations for tagged photo privacy. We then designed a privacy enhancing mechanism based on our findings, and validated it using a mixed methods approach. Our results identify the social tensions that tagging generates, and the needs of privacy tools to address the social implications of photo privacy management.

270 citations

Journal ArticleDOI
TL;DR: This review highlights the significance of crop wild relatives for crop improvement by providing examples of CWRs that have been used to increase biotic and abiotic stress resistance/tolerance and overall yield in various crop species, and discusses the surge of advanced biotechnologies, such as next‐generation sequencing technologies and omics.
Abstract: Deleterious effects of climate change and human activities, as well as diverse environmental stresses, present critical challenges to food production and the maintenance of natural diversity. These challenges may be met by the development of novel crop varieties with increased biotic or abiotic resistance that enables them to thrive in marginal lands. However, considering the diverse interactions between crops and environmental factors, it is surprising that evolutionary principles have been underexploited in addressing these food and environmental challenges. Compared with domesticated cultivars, crop wild relatives (CWRs) have been challenged in natural environments for thousands of years and maintain a much higher level of genetic diversity. In this review, we highlight the significance of CWRs for crop improvement by providing examples of CWRs that have been used to increase biotic and abiotic stress resistance/tolerance and overall yield in various crop species. We also discuss the surge of advanced biotechnologies, such as next-generation sequencing technologies and omics, with particular emphasis on how they have facilitated gene discovery in CWRs. We end the review by discussing the available resources and conservation of CWRs, including the urgent need for CWR prioritization and collection to ensure continuous crop improvement for food sustainability.

270 citations

Proceedings ArticleDOI
07 May 2001
TL;DR: This work explores and extends algebraic methods for creating implicit surfaces using linear combinations of radial basis interpolants to form complex models from scattered surface points, and reduces the computational complexity of these methods to the study of the shape properties of large, complex shapes.
Abstract: Describes algebraic methods for creating implicit surfaces using linear combinations of radial basis interpolants to form complex models from scattered surface points. Shapes with arbitrary topology are easily represented without the usual interpolation or aliasing errors arising from discrete sampling. These methods were first applied to implicit surfaces by V.V. Savchenko, et al. (1995) and later developed independently by G. Turk and J.F. O'Brien (1998) as a means of performing shape interpolation. Earlier approaches were limited as a modeling mechanism because of the order of the computational complexity involved. We explore and extend these implicit interpolating methods to make them suitable for systems of large numbers of scattered surface points by using compactly supported radial basis interpolants. The use of compactly supported elements generates a sparse solution space, reducing the computational complexity and making the technique practical for large models. The local nature of compactly supported radial basis functions permits the use of computational techniques and data structures such as k-d trees for spatial subdivision, promoting fast solvers and methods to divide and conquer many of the subproblems associated with these methods. Moreover, the representation of complex models permits the exploration of diverse surface geometry. This reduction in computational complexity enables the application of these methods to the study of the shape properties of large, complex shapes.

268 citations

Journal ArticleDOI
TL;DR: In this paper, the authors draw implications for clinicians working with survivors of major life crises in four general areas: the relation of psychological well-being, distress, and posttraumatic growth; conceptual issues in this type of clinical work; the process of encouraging growth in clients following traumatic events; and suggestions for additional research.
Abstract: This article draws implications for clinicians working with survivors of major life crises in four general areas: the relation of psychological well-being, distress, and posttraumatic growth; conceptual issues in this type of clinical work; the process of encouraging growth in clients following traumatic events; and suggestions for additional research. Posttraumatic growth can be accompanied by an increase in well-being, but distress and growth may also coexist. Positive changes can occur in several domains, but many are likely to be phenomenological. Degree of change produced by clinical intervention may be limited in scope, but there clearly are some ways in which the clinician may make growth more likely for the client. Suggestions for future research include the call for longitudinal investigations, studies of rumination and responses of the social network, and the examination of potential gender differences in posttraumatic growth.

267 citations

Journal ArticleDOI
TL;DR: The results indicate that brief meditation training has beneficial effects on mood and cardiovascular variables that go beyond the demand characteristics of a sham meditation intervention.
Abstract: Objectives: Although long-term meditation has been found to reduce negative mood and cardiovascular variables, the effects of a brief mindfulness meditation intervention when compared to a sham mindfulness meditation intervention are relatively unknown. This experiment examined whether a 3-day (1-hour total) mindfulness or sham mindfulness meditation intervention would improve mood and cardiovascular variables when compared to a control group. Methods: Eighty-two (82) undergraduate students (34 males, 48 females), with no prior meditation experience, participated in three sessions that involved training in either mindfulness meditation, sham mindfulness meditation, or a control group. Heart rate, blood pressure, and psychologic variables (Profile of Mood States, State Anxiety Inventory) were assessed before and after the intervention. Results: The meditation intervention was more effective at reducing negative mood, depression, fatigue, confusion, and heart rate, when compared to the sham and con...

267 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