Institution
Rider University
Education•Lawrenceville, 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.
Topics: Dosimetry, Creativity, Dosimeter, Population, Order statistic
Papers published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
James Chih-Hsin Yang | 127 | 606 | 90323 |
Feng Chen | 95 | 2138 | 53881 |
Vijay Mahajan | 75 | 188 | 24381 |
John J. Bochanski | 68 | 166 | 39951 |
Victor H. Denenberg | 56 | 253 | 11517 |
David G. Kirsch | 56 | 284 | 13992 |
Greg G. Qiao | 55 | 344 | 11701 |
Robert Kaestner | 51 | 282 | 8399 |
John Baer | 45 | 124 | 6649 |
Geoffrey S. Ibbott | 45 | 290 | 8663 |
David S Followill | 43 | 271 | 7881 |
Mark Oldham | 41 | 215 | 6107 |
Michael Gillin | 39 | 147 | 4671 |
Shiva K. Das | 37 | 182 | 5588 |
Hope Corman | 34 | 133 | 3882 |