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Full-Text Articles in Life Sciences
Dietary Patterns Of Pakistani Adults And Their Associations With Sociodemographic, Anthropometric And Life-Style Factors, Nilofer Safdar, Elizabeth Bertone-Johnson, Lorraine Cordero, Tazeen Jafar, Nancy Cohen
Dietary Patterns Of Pakistani Adults And Their Associations With Sociodemographic, Anthropometric And Life-Style Factors, Nilofer Safdar, Elizabeth Bertone-Johnson, Lorraine Cordero, Tazeen Jafar, Nancy Cohen
Elizabeth R. Bertone-Johnson
Dietary pattern analysis is an epidemiological method designed to consider the complexity of food preferences and diet patterns of populations. Few studies from South Asia have used this methodology to describe population food intake. Our objective was to identify dietary patterns and understand their associations with sociodemographic, anthropometric and life-style factors among low-income Pakistani urban adults. Dietary information was collected by a thirty-three-item FFQ and dietary patterns were derived by principal component analyses in 5491 subjects enrolled in the Control of Blood Pressure and Risk Attenuation (COBRA) study. Three dietary patterns were identified: a fat and sweet pattern characterised by …
Interactions Between Pieris Oleracea And Pieris Rapae (Lepidoptera: Pieridae) Butterflies, And The Biological Control Agents Cotesia Glomerata And Cotesia Rubecula (Hymenoptera: Braconidae)., Megan V. Herlihy
Megan V Herlihy
Pieris oleracea, formerly Pieris napi, was once a widespread pierid butterfly in New England until the introduction of a biological control agent, Cotesia glomerata. It has been suggested that C. glomerata is responsible for the range reduction of P. oleracea. There are been several introductions of a second more specialized biological control agent, Cotesia rubecula, to the United States since the 1960’s. My first goal was to determine the current distribution and status of P. rapae parasitoids and the effectiveness of C. rubecula as a biological control agent since its release. The findings of a survey I conducted of the …
Sample Size And Statistical Power Considerations In High-Dimensionality Data Settings: A Comparative Study Of Classification Algorithms, Yu Guo, Armin Garber, Raji Balasubramanian
Sample Size And Statistical Power Considerations In High-Dimensionality Data Settings: A Comparative Study Of Classification Algorithms, Yu Guo, Armin Garber, Raji Balasubramanian
Raji Balasubramanian
Background: Data generated using ‘omics’ technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of subjects in the study. In this paper, we consider issues relevant in the design of biomedical studies in which the goal is the discovery of a subset of features and an associated algorithm that can predict a binary outcome, such as disease status. We compare the performance of four commonly used classifiers (K-Nearest Neighbors, Prediction Analysis for Microarrays, Random Forests and Support Vector Machines) in high-dimensionality data settings. We evaluate the effects of varying levels of …
Factors For Success In Online And Face-To-Face Instruction. (Online Instruction), Brian Miller, Dr. Nancy Cohen, Patricia Beffa-Negrini
Factors For Success In Online And Face-To-Face Instruction. (Online Instruction), Brian Miller, Dr. Nancy Cohen, Patricia Beffa-Negrini
Nancy L. Cohen
This study compared academic achievement between undergraduate students in an introductory nutrition course online and students taking the same course in a large-class lecture format. Using a quasi-experimental research design, two instructional treatments (online, [N=35] and large-class lecture instruction [N=434J) were applied to two groups of students and their achievement was measured by a pretest and posttest of nutrition knowledge as well as final course grade. No significant differences in posttest scores (nutrition knowledge) were found. When data were partitioned for age, however, older students taking the online course had significantly higher final course grad.es than both their younger online …