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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: The results indicate that Probalign alignments are generally more accurate than other leading multiple sequence alignment methods (i.e. Probcons, MAFFT and MUSCLE) on the BAliBASE 3.0 protein alignment benchmark and outperforms these methods on the HOMSTRAD and OXBENCH benchmarks.
Abstract: Motivation: The maximum expected accuracy optimization criterion for multiple sequence alignment uses pairwise posterior probabilities of residues to align sequences. The partition function methodology is one way of estimating these probabilities. Here, we combine these two ideas for the first time to construct maximal expected accuracy sequence alignments. Results: We bridge the two techniques within the program Probalign. Our results indicate that Probalign alignments are generally more accurate than other leading multiple sequence alignment methods (i.e. Probcons, MAFFT and MUSCLE) on the BAliBASE 3.0 protein alignment benchmark. Similarly, Probalign also outperforms these methods on the HOMSTRAD and OXBENCH benchmarks. Probalign ranks statistically highest (P-value 300 and 400, respectively. Availability: Open source code implementing Probalign as well as for producing the simulated data, and all real and simulated data are freely available from http://www.cs.njit.edu/usman/probalign Contact: usman@cs.njit.edu

224 citations

Journal ArticleDOI
TL;DR: In this paper, the authors consider the validity of reports of posttraumatic growth, appropriate methodology to use to assess post-traumatic growth and its relation with other variables that appear to bear a resemblance to post traumatic growth (e.g., wellbeing and psychological adjustment).
Abstract: In response to comments on our model of posttraumatic growth, we consider the validity of reports of posttraumatic growth, appropriate methodology to use to assess posttraumatic growth, and its relation with other variables that appear to bear a resemblance to posttraumatic growth (e.g., well-being and psychological adjustment). The potentially important role of proximate and distal cultural factors is also addressed. Clinicians are encouraged to use interventions that facilitate posttraumatic growth with care, so as not to create expectations for posttraumatic growth in all trauma survivors, and to instead promote a respect for the difficulty of trauma recovery while allowing for the exploration of possibilities for various kinds of growth even in those who have suffered greatly.

224 citations

Journal ArticleDOI
TL;DR: Potential reasons why Trails A and the Stroop Test are sensitive to frontal lobe damage are discussed, such as novelty and processing speed, as are clinical implications of these findings.
Abstract: The Category Test, Trails B, and the interference task of the Stroop Test are among the most commonly administered measures of frontal lobe functioning and are thought to tap different cognitive functions mediated by these brain regions. Two meta-analyses were conducted on these tests to determine their sensitivity to frontal and lateralized frontal brain damage. Study 1 compared participants with frontal lobe damage to those with damage to posterior brain regions, whereas Study 2 compared participants with left and right frontal lobe damage. For each study, effect sizes based on performance differences between the above groups were calculated for the Category Test, Trail-Making Test Parts A and B, and the Stroop Test, including Word, Color, and Color-Word subtests. In Study 1 significant differences between groups were found for Trails A and all Stroop tasks, but in Study 2 the only difference between left and right frontal participants was on the Stroop Color-Word task. Potential reasons why Trails A and the Stroop Test are sensitive to frontal lobe damage are discussed, such as novelty and processing speed, as are clinical implications of these findings. The challenges of research on assessment of frontal lobe functioning are discussed and new developments in this area are highlighted.

224 citations

Book
16 May 2018
TL;DR: The Handbook of Posttraumatic growth as mentioned in this paper provides a wide range of answers to questions concerning knowledge of posttraumatic growth (PTG) theory, its synthesis and contrast with other theories and models, and its applications in diverse settings.
Abstract: Posttraumatic Growth reworks and overhauls the seminal 2006 Handbook of Posttraumatic Growth. It provides a wide range of answers to questions concerning knowledge of posttraumatic growth (PTG) theory, its synthesis and contrast with other theories and models, and its applications in diverse settings. The book starts with an overview of the history, components, and outcomes of PTG. Next, chapters review quantitative, qualitative, and cross-cultural research on PTG, including in relation to cognitive function, identity formation, cross-national and gender differences, and similarities and differences between adults and children. The final section shows readers how to facilitate optimal outcomes with PTG at the level of the individual, the group, the community, and society.

224 citations

Proceedings ArticleDOI
30 Sep 2013
TL;DR: SilentSense, a framework to authenticate users silently and transparently by exploiting the user touch behavior biometrics and leveraging the integrated sensors to capture the micro-movement of the device caused by user's screen-touch actions, is presented.
Abstract: In this work, we present SilentSense, a framework to authenticate users silently and transparently by exploiting the user touch behavior biometrics and leveraging the integrated sensors to capture the micro-movement of the device caused by user's screen-touch actions. By tracking the fine-detailed touch actions of the user, we build a "touch-based biometrics" model of the owner by extracting some principle features, and then verify whether the current user is the owner or guest/attacker. When using the smartphone, the unique operating pattern of the user is detected and learnt by collecting the sensor data and touch events silently. When users are mobile, the micro-movement of mobile devices caused by touch is suppressed by that due to the large scale user-movement which will render the touch-based biometrics ineffective. To address this, we integrate a movement-based biometrics for each user with previous touch-based biometrics. We conduct extensive evaluations of our approaches on the Android smartphone, we show that the user identification accuracy is over 99%.

224 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