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Institution

Northampton Community College

EducationBethlehem, Pennsylvania, United States
About: Northampton Community College is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3410 authors who have published 4582 publications receiving 130398 citations. The organization is also known as: Northampton County Area Community College.


Papers
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Journal ArticleDOI
TL;DR: This paper explores the problem of reducing a mixture of conjugate priors to a smaller mixture, from the perspective of the application of a distance measure between priors, and emerges that for mixtures of β-distributions a simple moment-matching reduction procedure is optimal and very good for the more general case of Dirichlet mixtures.
Abstract: This paper explores the problem of reducing a mixture of conjugate priors to a smaller mixture, from the perspective of the application of a distance measure between priors. The analysis focuses on mixtures of Dirichlet priors, but it has wider applicability. In respect to the proposed scheme, it emerges that for mixtures of β-distributions a simple moment-matching reduction procedure is optimal and very good for the more general case of Dirichlet mixtures.

46 citations

Journal ArticleDOI
TL;DR: This paper presents basic properties of 6-equality and various results on 6- equality with respect to algebraic operations, fuzzy relations, extension principle and triangular norms.

45 citations

Journal ArticleDOI
TL;DR: There is a paucity of research considering falls in older adults with major depressive disorder, and the odds of falling appear to be greater among people with MDD than in previous meta-analyses that have only considered subthreshold depressive symptoms.
Abstract: BACKGROUND: Depressive symptomology is now widely recognized as a key risk factor for falls. The evidence regarding the impact of major depressive disorder (MDD) on falls is unclear. A systematic review and exploratory meta-analysis was undertaken to explore the relationship between MDD and falls. METHODS: Major electronic database were searched from inception till April 2015. Studies that defined MDD and measured falls prospectively in older adults (≥60 years) were included. Studies relying on depressive symptomology alone were excluded. The methodological quality of included articles was assessed and study findings were synthesized using an exploratory meta-analysis. RESULTS: From a potential of 415 articles, only three studies met the inclusion criteria. This included 976 unique older adults with a range of mean age from ≥65 to 83 years. The methodological quality of included studies was satisfactory. None of the included studies' primary aim was to investigate the relationship between MDD and falls. The exploratory meta-analysis demonstrated older adults with MDD are at increased risk of falling compared to non-depressed older adults (odds ratio (OR) 4.0, 95% CI 2.0-8.1, I 2 = 60%, n = 976). CONCLUSION: There is a paucity of research considering falls in older adults with MDD. Our results demonstrate that the odds of falling appear to be greater among people with MDD (OR 4.0) than in previous meta-analyses that have only considered subthreshold depressive symptoms. Given the distinct nature and challenges with MDD, more research is required to better understand the falls risk in this group. Language: en

45 citations

Journal ArticleDOI
TL;DR: In this paper, the structural similarity of certain Coxeter Artin systems to the Yang-Baxter and reflection equations is used to convert representations of these systems into new solutions of the reflection equation.
Abstract: We use the structural similarity of certain Coxeter Artin systems to the Yang–Baxter and reflection equations to convert representations of these systems into new solutions of the reflection equation. We construct certain Bethe ansatz states for these solutions, using a parametrization suggested by abstract representation theory.

45 citations

Journal ArticleDOI
TL;DR: Algorithms linked to the increase in weight of preterm infants over time may refine the number of babies needing to undergo treatment, and the design of screening guidelines and the possibility of a global guideline are considered.

45 citations


Authors

Showing all 3411 results

NameH-indexPapersCitations
Simon Baron-Cohen172773118071
Pete Smith1562464138819
Martin N. Rossor12867095743
Mark D. Griffiths124123861335
Richard G. Brown8321726205
Brendon Stubbs8175428180
Stuart N. Lane7633715788
Paul W. Burgess6915621038
Thomas Dietz6820337313
Huseyin Sehitoglu6732414378
Susan Golombok6721512856
David S.G. Thomas6322814796
Stephen Morris6344316484
Stephen Robertson6119723363
Michael J. Morgan6026612211
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20221
202182
202073
201968
201865