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Institution

Rider University

EducationLawrenceville, New Jersey, United States
About: Rider University is a education organization based out in Lawrenceville, New Jersey, United States. It is known for research contribution in the topics: Dosimetry & Creativity. The organization has 881 authors who have published 1934 publications receiving 50752 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, an instructional method based on group emotional intelligence (GEI) theory for assisting students in addressing potential group derailment is described, and the effectiveness of the model for building strong group norms and reducing social loafing was evaluated using a comparison group design.
Abstract: Group-based learning is common practice in university classrooms. Despite the frequent student complaint of social loafing from teammates, methods for teaching students how to address teamwork issues are rarely incorporated into group assignments. Students are instructed on their final product, rather than their group process. In this article, an instructional method based on group emotional intelligence (GEI) theory for assisting students in addressing potential group derailment is described. The effectiveness of the model for building strong group norms and reducing social loafing was evaluated using a comparison group design. Formative and summative evaluation results are presented. Findings suggest that the instruction positively affected group handling of emotions and reduced social loafing behaviors.

19 citations

Journal ArticleDOI
TL;DR: It is demonstrated that smoking during pregnancy increases offspring risk for additional health outcomes not previously recognized in the literature, and that the effect ofsmoking during pregnancy persists throughout the developmental period.
Abstract: BACKGROUND: In this study, we sought to understand whether prenatal exposure to cigarette smoke would be associated with increased offspring hospitalization through age 22 years for various physical and mental health diagnoses. METHODS: We used multivariate logistic regression to investigate the relationship between gestational exposure to cigarette smoke and offspring hospitalization for physical and mental health conditions based on International Classification of Diseases (ICD; World Health Organization) diagnoses. RESULTS: When controlling for parental psychiatric status, maternal somatic health, socioeconomic status, parity, and maternal age, youth born to mothers who smoked six or more cigarettes per day were more likely to have experienced hospitalization for neuroses (OR, 1.97), diseases of the nervous system (i.e., neurological disorders) (OR, 1.47), respiratory infections (OR, 1.28), accidents (OR, 1.44), infections (OR, 1.54), undiagnosed symptoms (OR, 1.65), and total admissions (OR, 1.48). Female offspring prenatally exposed were more likely to have experienced hospitalization for obstetric complications (OR, 2.94). No association was found for the remaining categories analyzed: blood disorders, skin diseases, psychoses, metabolic/endocrine disease, circulatory disease, digestive disease, disease of the skeletal/ muscular system, physical anomalies, neoplasms, and genital/urinary disease. CONCLUSIONS: This is the first study to investigate the impact of gestational exposure to cigarette smoke on global measures of somatic and physical health in offspring. This study adds to the literature by demonstrating that smoking during pregnancy increases offspring risk for additional health outcomes not previously recognized in the literature, and that the effect of smoking during pregnancy persists throughout the developmental period. The possibility that these findings are related to lifestyle markers or smoke exposure during childhood should also be considered. Birth Defects Research (Part A) 73:170 –176, 2005. © 2005 Wiley-Liss, Inc.

19 citations

Posted Content
TL;DR: In this paper, the effect of illicit drug use during pregnancy on low birth weight was estimated using data from a national longitudinal study of urban parents that includes postpartum interviews with mothers, hospital medical record data on the mother and newborn, extensive demographic information on both parents, and information about the city where the mother resides.
Abstract: We estimate the effect of illicit drug use during pregnancy on low birth weight We use data from a national longitudinal study of urban parents that includes post-partum interviews with mothers, hospital medical record data on the mother and newborn, extensive demographic information on both parents, and information about the city where the mother resides We address the potential endogeneity of prenatal drug use and present estimates using alternative measures of prenatal illicit drug use Depending on how drug use is measured, we find deleterious effects of illicit drug use on low birth weight that range from 3 to 5 percentage points

19 citations

Journal ArticleDOI
TL;DR: Some simple properties of the regression function φ(x) = E(X,M n = x), where X and M n are the sample mean and median respectively, are shown to characterize Student's t 2 -distribution.
Abstract: Some simple properties of the regression function φ(x) = E(X‖M n = x), where X and M n are the sample mean and median respectively, are shown to characterize Student's t 2 -distribution.

19 citations

Journal ArticleDOI
01 Jan 2019-Filomat
TL;DR: In this article, a new probability distribution, which is synthesized based on the quasi-gamma and geometric distributions, is proposed and studied, and seven different frequentist methods of estimating unknown parameters are proposed and the methods are justified with Monte Carlo simulation study.
Abstract: In this paper, a new probability distribution, which is synthesized based on the quasi xgamma[26] and geometric distributions, is proposed and studied. The proposed distribution so synthesized is basically a family of positively skewed probability distributions and possesses increasing and decreasing hazard rate properties depending on the values of the unknown parameters. Different important distributional and survival and/or reliability properties are also studied. A unique characterization of the distribution is presented based on reversed hazard rate. Seven different frequentist methods of estimating unknown parameters are proposed and the methods are justified with Monte-Carlo simulation study. Flexible data generation algorithm eases the utility of the proposed model in survival and/or reliability application which is accomplished by real data analyses and by comparing with other competitive life distributions.

19 citations


Authors

Showing all 892 results

NameH-indexPapersCitations
James Chih-Hsin Yang12760690323
Feng Chen95213853881
Vijay Mahajan7518824381
John J. Bochanski6816639951
Victor H. Denenberg5625311517
David G. Kirsch5628413992
Greg G. Qiao5534411701
Robert Kaestner512828399
John Baer451246649
Geoffrey S. Ibbott452908663
David S Followill432717881
Mark Oldham412156107
Michael Gillin391474671
Shiva K. Das371825588
Hope Corman341333882
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202214
202162
202059
201962
201864