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Phase Iii Prospective Randomized Comparison Trial Of Depot Octreotide Plus Interferon Alfa-2b Versus Depot Octreotide Plus Bevacizumab In Patients With Advanced Carcinoid Tumors: Swog S0518, James C. Yao, Katherine A. Guthrie, Cesar Moran, Jonathan R. Strosberg, Matthew H. Kulke, Jennifer A. Chan, Noelle LoConte, Robert R. McWilliams, Edward M. Wolin, Bassam Mattar, Shannon McDonough, Helen Chen, Charles D. Blanke, Howard S. Hochster 2017 MD Anderson Cancer Center

Phase Iii Prospective Randomized Comparison Trial Of Depot Octreotide Plus Interferon Alfa-2b Versus Depot Octreotide Plus Bevacizumab In Patients With Advanced Carcinoid Tumors: Swog S0518, James C. Yao, Katherine A. Guthrie, Cesar Moran, Jonathan R. Strosberg, Matthew H. Kulke, Jennifer A. Chan, Noelle Loconte, Robert R. Mcwilliams, Edward M. Wolin, Bassam Mattar, Shannon Mcdonough, Helen Chen, Charles D. Blanke, Howard S. Hochster

Markey Cancer Center Faculty Publications

Purpose

Treatment options for neuroendocrine tumors (NETs) remain limited. This trial assessed the progression-free survival (PFS) of bevacizumab or interferon alfa-2b (IFN-α-2b) added to octreotide among patients with advanced NETs.

Patients and Methods

Southwest Oncology Group (SWOG) S0518, a phase III study conducted in a US cooperative group system, enrolled patients with advanced grades 1 and 2 NETs with progressive disease or other poor prognostic features. Patients were randomly assigned to treatment with octreotide LAR 20 mg every 21 days with either bevacizumab 15 mg/kg every 21 days or 5 million units of IFN-α-2b three times per week. The primary …


Firing Rate Heterogeneity And Consequences For Coding In Feedforward Circuits, Cheng Ly, Gary Marsat 2017 Virginia Commonwealth University

Firing Rate Heterogeneity And Consequences For Coding In Feedforward Circuits, Cheng Ly, Gary Marsat

Biology and Medicine Through Mathematics Conference

No abstract provided.


On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia 2017 University of Leeds

On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia

Biology and Medicine Through Mathematics Conference

No abstract provided.


Methods For Parameter Estimation Of A Stochastic Seir Model, Kaitlyn Martinez 2017 Colorado School of Mines

Methods For Parameter Estimation Of A Stochastic Seir Model, Kaitlyn Martinez

Biology and Medicine Through Mathematics Conference

No abstract provided.


Shape Features Underlying The Perception Of Liquids, Jan Jaap R. van Assen, Pascal Barla, Roland W. Fleming 2017 Department of Psychology, Justus-Liebig-University Giessen

Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming

MODVIS Workshop

No abstract provided.


The Acquisition And Analysis Of Electroencephalogram Data For The Classification Of Benign Partial Epilepsy Of Childhood With Centrotemporal Spikes, Jessica A. Scarborough 2017 University of San Francisco

The Acquisition And Analysis Of Electroencephalogram Data For The Classification Of Benign Partial Epilepsy Of Childhood With Centrotemporal Spikes, Jessica A. Scarborough

Master's Theses

In this thesis, I will expand upon each step in the process of acquiring and analyzing electroencephalogram (EEG) for the classification of benign childhood epilepsy with centrotemporal spikes. Despite huge advancements in the field of health informatics—natural language processing, machine learning, predictive modeling—there are significant barriers to the access of clinical data. These barriers include information blocking, privacy policy concerns, and a lack of stakeholder support. We will see that these roadblocks are all responsible for stunting biomedical research in some way, including my own experiences in acquiring the data for the second chapter of this thesis.

This second chapter …


Using Mathematical Models Of Biological Processes In Genome-Wide Association Studies Of Psychiatric Disorders, Amy Cochran 2017 University of Michigan-Ann Arbor

Using Mathematical Models Of Biological Processes In Genome-Wide Association Studies Of Psychiatric Disorders, Amy Cochran

Biology and Medicine Through Mathematics Conference

No abstract provided.


A Generalized Linear Model For Marital Disruption In Namibia, Lillian Pazvakawambwa 2017 University of Namibia, Department of Statistics and Population Studies

A Generalized Linear Model For Marital Disruption In Namibia, Lillian Pazvakawambwa

Andrews Research Conference

Marital disruption has attracted wide attention among researchers. In recent years, the world has experienced reductions in marriage rates, along with significant increases in cohabiting unions, divorce and separation, leading to rising conjugal and family instability. While some have seen this as a sign of social and moral disruption with a potential to shatter the family institution and the foundations of society itself, others have embraced these trends as signaling increased individual liberty and the loosening of suffocating social mores. There is limited research on the factors influencing marital disruption in Namibia. This paper used the Namibia Demographic and Health …


Can Cone Signals In The Wild Be Predicted From The Past?, David H. Foster, Iván Marín-Franch 2017 University of Manchester, UK

Can Cone Signals In The Wild Be Predicted From The Past?, David H. Foster, Iván Marín-Franch

MODVIS Workshop

In the natural world, the past is usually a good guide to the future. If light from the sun and sky is blue earlier in the day and yellow now, then it is likely to be more yellow later, as the sun's elevation decreases. But is the light reflected from a scene into the eye as predictable as the light incident upon the scene, especially when lighting changes are not just spectral but include changes in local shadows and mutual reflections? The aim of this work was to test the predictability of cone photoreceptor signals in the wild over the …


Midlife And Late-Life Vascular Risk Factors And White Matter Microstructural Integrity: The Atherosclerosis Risk In Communities Neurocognitive Study., Melinda C Power, Jonathan V Tingle, Robert I Reid, Juebin Huang, A Richey Sharrett, Josef Coresh, Michael Griswold, Kejal Kantarci, Clifford R Jack, David Knopman, Rebecca F Gottesman, Thomas H Mosley 2017 George Washington University

Midlife And Late-Life Vascular Risk Factors And White Matter Microstructural Integrity: The Atherosclerosis Risk In Communities Neurocognitive Study., Melinda C Power, Jonathan V Tingle, Robert I Reid, Juebin Huang, A Richey Sharrett, Josef Coresh, Michael Griswold, Kejal Kantarci, Clifford R Jack, David Knopman, Rebecca F Gottesman, Thomas H Mosley

Epidemiology Faculty Publications

BACKGROUND: Diffusion tensor imaging measures of white matter (WM) microstructural integrity appear to provide earlier indication of WM injury than WM hyperintensities; however, risk factors for poor WM microstructural integrity have not been established. Our study quantifies the association between vascular risk factors in midlife and late life with measures of late-life WM microstructural integrity.

METHODS AND RESULTS: We used data from 1851 participants in ARIC (Atherosclerosis Risk in Communities Study) who completed 3-T magnetic resonance imaging, including diffusion tensor imaging, as part of the ARIC Neurocognitive Study (ARIC-NCS). We quantified the association among lipids, glucose, and blood pressure from …


A Multifactorial Obesity Model Developed From Nationwide Public Health Exposome Data And Modern Computational Analyses, LisaAnn S. Gittner, Barbara J. Kilbourne, Ravi Vadapalli, Hafiz M.K. Khan, Michael A. Langston 2017 Texas Tech University

A Multifactorial Obesity Model Developed From Nationwide Public Health Exposome Data And Modern Computational Analyses, Lisaann S. Gittner, Barbara J. Kilbourne, Ravi Vadapalli, Hafiz M.K. Khan, Michael A. Langston

Sociology Faculty Research

Summary

Statement of the problem

Obesity is both multifactorial and multimodal, making it difficult to identify, unravel and distinguish causative and contributing factors. The lack of a clear model of aetiology hampers the design and evaluation of interventions to prevent and reduce obesity.

Methods

Using modern graph-theoretical algorithms, we are able to coalesce and analyse thousands of inter-dependent variables and interpret their putative relationships to obesity. Our modelling is different from traditional approaches; we make no a priori assumptions about the population, and model instead based on the actual characteristics of a population. Paracliques, noise-resistant collections of highly-correlated variables, are …


Physiological Health Parameters Among College Students To Promote Chronic Disease Prevention And Health Promotion, David R. Black, Daniel C. Coster, Samantha R. Paige 2017 Purdue University

Physiological Health Parameters Among College Students To Promote Chronic Disease Prevention And Health Promotion, David R. Black, Daniel C. Coster, Samantha R. Paige

Mathematics and Statistics Faculty Publications

This study aimed to provide physiologic health risk parameters by gender and age among college students enrolled in a U.S. Midwestern University to promote chronic disease prevention and ameliorate health. A total of 2615 college students between 18 and 25 years old were recruited annually using a series of cross-sectional designs during the spring semester over an 8-year period. Physiologic parameters measured included body mass index (BMI), percentage body fat (%BF), blood serum cholesterol (BSC), and systolic (SBP) and diastolic (DBP) blood pressure. These measures were compared to data from NHANES to identify differences in physiologic parameters among 18-25 year …


Geospatial And Negative Binomial Regression Analysis Of Culex Nigripalpus, Culex Erraticus, Coquillettidia Perturbans, And Aedes Vexans Counts And Precipitation And Land Use Land Cover Covariates In Polk County, Florida, Joshua P. Wright 2017 University of South Florida

Geospatial And Negative Binomial Regression Analysis Of Culex Nigripalpus, Culex Erraticus, Coquillettidia Perturbans, And Aedes Vexans Counts And Precipitation And Land Use Land Cover Covariates In Polk County, Florida, Joshua P. Wright

USF Tampa Graduate Theses and Dissertations

Although mosquito monitoring systems in the form of dry-ice bated CDC light traps and sentinel chickens are used by mosquito control personnel in Polk County, Florida, the placement of these are random and do not necessarily reflect prevalent areas of vector mosquito populations. This can result in significant health, economic, and social impacts during disease outbreaks. Of these vector mosquitoes Culex nigripalpus, Culex erraticus, Coquillettidia perturbans, and Aedes vexans are present in Polk County and known to transmit multiple diseases, posing a public health concern. This study seeks to evaluate the effect of Land use Land cover …


Digital Forensics Tool Selection With Multi-Armed Bandit Problem, Umit Karabiyik, Tugba Karabiyik 2017 Sam Houston State University

Digital Forensics Tool Selection With Multi-Armed Bandit Problem, Umit Karabiyik, Tugba Karabiyik

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics investigation is a long and tedious process for an investigator in general. There are many tools that investigators must consider, both proprietary and open source. Forensics investigators must choose the best tool available on the market for their cases to make sure they do not overlook any evidence resides in suspect device within a reasonable time frame. This is however hard decision to make, since learning and testing all available tools make their job only harder. In this project, we define the digital forensics tool selection for a specific investigative task as a multi-armed bandit problem assuming that …


Cohort Profile: Seek, Test, Treat And Retain United States Criminal Justice Cohort., Redonna Chandler, Michael S Gordon, Bridget Kruszka, Lauren N Strand, Frederick L Altice, Irene Kuo, +several additional authors 2017 George Washington University

Cohort Profile: Seek, Test, Treat And Retain United States Criminal Justice Cohort., Redonna Chandler, Michael S Gordon, Bridget Kruszka, Lauren N Strand, Frederick L Altice, Irene Kuo, +Several Additional Authors

Epidemiology Faculty Publications

BACKGROUND: The STTR treatment cascade provides a framework for research aimed at improving the delivery of services, care and outcomes of PLWH. The development of effective approaches to increase HIV diagnoses and engage PLWH in subsequent steps of the treatment cascade could lead to earlier and sustained ART treatment resulting in viral suppression. There is an unmet need for research applying the treatment cascade to improve outcomes for those with criminal justice involvement.

METHODS: The Seek, Test, Treat, and Retain (STTR) criminal justice (CJ) cohort combines data from 11 studies across the HIV treatment cascade that focused on persons involved …


Multidataset Independent Subspace Analysis: A Framework For Analysis Of Multimodal, Multi-Subject Brain Imaging Data, Rogers F. Silva 2017 University of New Mexico

Multidataset Independent Subspace Analysis: A Framework For Analysis Of Multimodal, Multi-Subject Brain Imaging Data, Rogers F. Silva

Electrical and Computer Engineering ETDs

Mental illnesses are serious disorders of the brain that have devastating effects on individuals and society. In addition to their disabling and impairing effects, mental illnesses have deep social and economical implications, accounting for an estimated loss of 12 billion working days and a care cost surge to $6 trillion a year by 2030. For diseases such as depression and anxiety, enhancing preventive programs and treatment accessibility, in combination with accurate early diagnosis and personalized treatments, are projected to result in a four-fold return on every dollar invested, a strategy that can drastically help curtail those losses. Notably, within the …


Using Statistical Techniques To Estimate Rooted Species Trees From Unrooted Gene Trees, Ayed Rheal Alanzi 2017 University of New Mexico, Albuquerque

Using Statistical Techniques To Estimate Rooted Species Trees From Unrooted Gene Trees, Ayed Rheal Alanzi

Mathematics & Statistics ETDs

Methods for inferring species trees from gene trees motivated by incomplete lineage

sorting typically use either rooted gene trees to infer a rooted species tree, or use

unrooted gene trees to infer an unrooted species tree, which is then typically rooted

using one or more outgroups. Theoretically, however, it has been known since 2011

that it is possible to infer the root of the species tree directly from unrooted gene

trees without assuming an outgroup. The present work is the first that we know of

which attempts to infer the root of a species tree using unrooted gene trees as …


Safety And Immunogenicity Of An Inactivated Whole Cell Tuberculosis Vaccine Booster In Adults Primed With Bcg: A Randomized, Controlled Trial Of Dar-901, C. Fordham von Reyn, Timothy Lahey, Robert D. Arbeit, Bernard Landry, Leway Kailani, Lisa Adams, Brenda Haynes, Todd Mackenzie, Wendy Wieland-Alter, Ruth Connor, Sue Tvaroha, David Hokey, Ann Ginsberg, Richard Waddell 2017 Dartmouth College

Safety And Immunogenicity Of An Inactivated Whole Cell Tuberculosis Vaccine Booster In Adults Primed With Bcg: A Randomized, Controlled Trial Of Dar-901, C. Fordham Von Reyn, Timothy Lahey, Robert D. Arbeit, Bernard Landry, Leway Kailani, Lisa Adams, Brenda Haynes, Todd Mackenzie, Wendy Wieland-Alter, Ruth Connor, Sue Tvaroha, David Hokey, Ann Ginsberg, Richard Waddell

Dartmouth Scholarship

Development of a tuberculosis vaccine to boost BCG is a major international health priority. SRL172, an inactivated whole cell booster derived from a non-tuberculous mycobacterium, is the only new vaccine against tuberculosis to have demonstrated efficacy in a Phase 3 trial. In the present study we sought to determine if a three-dose series of DAR-901 manufactured from the SRL172 master cell bank by a new, scalable method was safe and immunogenic.


Cox Processes For Visual Object Counting, Yongming Ma 2017 Portland State University

Cox Processes For Visual Object Counting, Yongming Ma

Student Research Symposium

We present a model that utilizes Cox processes and CNN classifiers in order to count the number of instances of an object in an image. Poisson processes are well suited to events that occur randomly in space, like the location of objects in an image, as well as to the task of counting. Mixed Poisson processes also offer increased flexibility, however they do not easily scale with image size: they typically require O(n3) computation time and O(n2) storage, where n is the number of pixels. To mitigate this problem, we employ Kronecker algebra which takes advantage of the direct product …


Gilmore Girls And Instagram: A Statistical Look At The Popularity Of The Television Show Through The Lens Of An Instagram Page, Brittany Simmons 2017 Chapman University

Gilmore Girls And Instagram: A Statistical Look At The Popularity Of The Television Show Through The Lens Of An Instagram Page, Brittany Simmons

Student Scholar Symposium Abstracts and Posters

After going on the Warner Brothers Tour in December of 2015, I created a Gilmore Girls Instagram account. This account, which started off as a way for me to create edits of the show and post my photos from the tour turned into something bigger than I ever could have imagined. In just over a year I have over 55,000 followers. I post content including revival news, merchandise, and edits of the show that have been featured in Entertainment Weekly, Bustle, E! News, People Magazine, Yahoo News, & GilmoreNews.

I created a dataset of qualitative and quantitative outcomes from my …


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