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Articles 211 - 217 of 217
Full-Text Articles in Medicine and Health Sciences
High Fat Diet Induced Obesity In A Mouse Model For Colorectal Cancer, Kennerly Clinton Patrick
High Fat Diet Induced Obesity In A Mouse Model For Colorectal Cancer, Kennerly Clinton Patrick
Theses and Dissertations
Obesity is widely correlated with the incidence of colorectal cancer (CRC). The exact mechanisms that link obesity to CRC risk have not yet been fully established, and only a limited number of animal models are available to study pathways involved in obesity-related colon carcinogenesis. The objective of this study was to determine the influence of HFD-induced obesity on AOM/DSS-mediated colorectal tumorigenesis, tumor proliferation, and symptom severity. Male C57BL/6 mice were fed a novel high fat diet, designed to mimic the standard American diet (12 % saturated fat & 28 % unsaturated fat), at 4 weeks of age until 16 weeks …
Tpm: Cloud-Based Tele Ptsd Monitor Using Multi-Dimensional Information, Roger Xu, Gang Mei, Guangfan Zhang, Pan Gao, Aaron Pepe, Jiang Li, James D. Westwood (Ed.), Susan W. Westwood (Ed.), Li Felländer-Tsai (Ed.), Randy S. Haluck (Ed.), Richard A. Robb (Ed.), Steven Senger (Ed.), Kirby G. Vosburgh (Ed.)
Tpm: Cloud-Based Tele Ptsd Monitor Using Multi-Dimensional Information, Roger Xu, Gang Mei, Guangfan Zhang, Pan Gao, Aaron Pepe, Jiang Li, James D. Westwood (Ed.), Susan W. Westwood (Ed.), Li Felländer-Tsai (Ed.), Randy S. Haluck (Ed.), Richard A. Robb (Ed.), Steven Senger (Ed.), Kirby G. Vosburgh (Ed.)
Electrical & Computer Engineering Faculty Publications
An automated system that can remotely and non-intrusively screen individuals at high risk for Post-Traumatic Stress Disorder (PTSD) and monitor their progress during treatment would be desired by many Veterans Affairs (VAs) as well as other PTSD treatment and research organizations. In this paper, we present an automated, cloud-based Tele-PTSD Monitor (TPM) system based on the fusion of multiple sources of information. The TPM system can be hosted in a cloud environment and accessed through landline or cell phones, or on the Internet through a web portal or mobile application (app).
Impulsivity Like Traits And Risky Driving Behaviors Among College Students, Matthew R. Pearson, Elaine M. Murphy, Ashley N. Doane
Impulsivity Like Traits And Risky Driving Behaviors Among College Students, Matthew R. Pearson, Elaine M. Murphy, Ashley N. Doane
Psychology Faculty Publications
The present study examined the predictive effects of five impulsivity-like traits (Premeditation, Perseverance, Sensation Seeking, Negative Urgency, and Positive Urgency) on driving outcomes (driving errors, driving lapses, driving violations, cell phone driving, traffic citations, and traffic collisions). With a convenience sample of 266 college student drivers, we found that each of the impulsivity-like traits was related to multiple risky driving outcomes. Positive Urgency (tendency to act impulsively when experiencing negative affect) was the most robust predictor of risky driving outcomes. Positive Urgency is a relatively newly conceptualized impulsivity-like trait that was not examined in the driving literature previously, suggesting a …
Characterising The Deformation Behaviour Of Human Tooth Enamel At The Microscale, Simona O'Brien
Characterising The Deformation Behaviour Of Human Tooth Enamel At The Microscale, Simona O'Brien
Theses: Doctorates and Masters
Enamel plays an important role in tooth function. Optimal combinations of composition and structure endow enamel with unique mechanical properties that remain largely unexplored. Specifically, more detailed understanding of the loadbearing ability of enamel is needed to mimic it synthetically and to design next generation biocomposite materials. This research investigates the variables that influence deformation behaviour of tooth enamel in relation to its hierarchical structure. Initially, a new method was developed for preparing flat, finely polished tooth samples that were maintained in their normal hydrated state for nanoindentation testing. In contrast to conventional methods, which commonly utilise either inappropriate or …
Shared Leadership In Six Sigma Teams From The North Shore-Lij Health System, Brian J. Galli
Shared Leadership In Six Sigma Teams From The North Shore-Lij Health System, Brian J. Galli
Engineering Management & Systems Engineering Theses & Dissertations
The main goal of the research was to identify the relationships that the internal research team environment and external coaching variables had with the degree of shared leadership in the context of Six Sigma teams from the North Shore LIJ Health System. Furthermore, the research ascertained the relationships that these variables had with two performance metrics: a team's ability to complete project deliverables and satisfy customer's requirements. This research also sought to understand additional factors that affected the five variables.
The research found that while shared leadership did not positively change as a team progressed through the phases of the …
The Impact Of Case-Mix On Timely Access To Appointments In A Primary Care Group Practice, Asli Ozen, Hari Balasubramanian
The Impact Of Case-Mix On Timely Access To Appointments In A Primary Care Group Practice, Asli Ozen, Hari Balasubramanian
Hari Balasubramanian
No abstract provided.
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
Davood Golmohammadi
Scheduling in a job-shop system is a challenging task. Simulation modelling is a well-known approach for evaluating the scheduling plans of a job-shop system; however, it is costly and time-consuming, and developing a model and interpreting the results requires expertise. As an alternative, we have developed a neural network (NN) model focused on detailed scheduling that provides a versatile job-shop scheduling analysis framework for management to easily evaluate different possible scheduling scenarios based on internal or external constraints. A new approach is also proposed to enhance the quality of training data for better performance. Previous NN models in scheduling focus …