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Old Dominion University

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2022

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Articles 121 - 129 of 129

Full-Text Articles in Medicine and Health Sciences

Covid-19 Vaccination In Palestine/Israel: Citizenship, Capitalism, And The Logic Of Elimination, Nicolas Howard, Emily Schneider Jan 2022

Covid-19 Vaccination In Palestine/Israel: Citizenship, Capitalism, And The Logic Of Elimination, Nicolas Howard, Emily Schneider

Sociology & Criminal Justice Faculty Publications

Despite Israel’s responsibility under international law to combat the spread of contagious diseases and epidemics in its occupied territories, Israeli officials have refused to distribute COVID-19 vaccines to Palestinians in the West Bank and Gaza Strip. Through a critical discourse analysis of Israeli officials’ statements regarding Israel’s COVID-19 vaccination campaign, this paper explores how Israel evades this responsibility while presenting itself as committed to public health and human rights. We find that Israeli officials strategically present Palestinians as an autonomous nation when discussing COVID-19 vaccinations, despite Israel’s ongoing attempts to prevent the creation of a Palestinian state. Relatedly, Israel justifies …


Reproductive Regrets Among A Population-Based Sample Of U.S. Women, Arthur L. Greil, Michele H. Lowry, Andrea R. Burch, Kathleen Slauson-Blevins, Nicholas Park, Julia Mcquillan Jan 2022

Reproductive Regrets Among A Population-Based Sample Of U.S. Women, Arthur L. Greil, Michele H. Lowry, Andrea R. Burch, Kathleen Slauson-Blevins, Nicholas Park, Julia Mcquillan

Sociology & Criminal Justice Faculty Publications

Women have many reproductive options, but little is known about their regrets regarding prior reproductive choices and outcomes. Guided by the life-course and stratified reproduction perspectives, this study draws on an open-ended question about reproductive regrets from wave I of the National Survey of Fertility Barriers, a representative telephone survey of reproductive aged U.S. women conducted from 2004 to 2006. The authors classified regrets into five broad categories: (1) none, (2) problematic fertility, (3) unfulfilled fertility desires, (4) family, and (5) pregnancy experiences. The authors conducted the analyses separately by motherhood status. Logistic regression analysis revealed that regardless of parental …


Family Structure And Maternal Depressive Symptoms: A Cross-National Comparison Of Australia, The United Kingdom, And The United States, Kirsten Rasmussen, Elizabeth K. Sigler, Sadie A. Slighting, Jonathan A. Jarvis, Mikaela J. Dufur, Shana Pribesh Jan 2022

Family Structure And Maternal Depressive Symptoms: A Cross-National Comparison Of Australia, The United Kingdom, And The United States, Kirsten Rasmussen, Elizabeth K. Sigler, Sadie A. Slighting, Jonathan A. Jarvis, Mikaela J. Dufur, Shana Pribesh

Educational Leadership & Workforce Development Faculty Publications

The purpose of this study is to understand the relationship between family structure and maternal depressive symptoms (MDS) in Australia, the United Kingdom, and the United States. Family structures that involve transitions across life's course, such as divorce, can alter access to resources and introduce new stressors into family systems. Using the stress process model, we examine the links between family structure, stress, resources, and MDS. Using nationally representative data from Australia, the United Kingdom, and the United States and cross-sectional models for each country, we find that family structure may influence MDS differently in the UK than it does …


Reduction Of Plasmid Vector Backbone Length Enhances Reporter Gene Expression, Carly Boye, Sezgi Arpag, Michael Francis, Scott Declemente, Aislin West, Richard Heller, Anna Bulysheva Jan 2022

Reduction Of Plasmid Vector Backbone Length Enhances Reporter Gene Expression, Carly Boye, Sezgi Arpag, Michael Francis, Scott Declemente, Aislin West, Richard Heller, Anna Bulysheva

Electrical & Computer Engineering Faculty Publications

Gene therapy has a wide range of applications for various types of pathologies. Viral methods of gene delivery provide high levels of gene expression but have various safety concerns. Non-viral methods are largely known to provide lower levels of expression. We aim to address this issue by using plasmid DNA with smaller backbones to increase gene expression levels when delivered using non-viral methods. In this study we compare gene expression levels between two vectors with firefly luciferase encoding gene insert using liposome complexes and gene electrotransfer as delivery methods. A 2-fold reduction in plasmid vector backbone size, disproportionately enhanced gene …


Gene Electrotransfer Of Fgf2 Enhances Collagen Scaffold Biocompatibility, Carly Boye, Kyle Cristensen, Kamal Asadipour, Scott Declemente, Michael Francis, Anna Bulysheva Jan 2022

Gene Electrotransfer Of Fgf2 Enhances Collagen Scaffold Biocompatibility, Carly Boye, Kyle Cristensen, Kamal Asadipour, Scott Declemente, Michael Francis, Anna Bulysheva

Electrical & Computer Engineering Faculty Publications

Tendon injuries are a common athletic injury that have been increasing in prevalence. While there are current clinical treatments for tendon injuries, they have relatively long recovery times and often do not restore native function of the tendon. In the current study, gene electrotransfer (GET) parameters for delivery to the skin were optimized with monophasic and biphasic pulses with reporter and effector genes towards optimizing underlying tendon healing. Tissue twitching and damage, as well as gene expression and distribution were evaluated. Bioprinted collagen scaffolds, mimicking healthy tendon structure were then implanted subcutaneously for biocompatibility and angiogenesis analyses when combined with …


Radiomic Texture Feature Descriptor To Distinguish Recurrent Brain Tumor From Radiation Necrosis Using Multimodal Mri, M. S. Sadique, A. Temtam, E. Lappinen, K. M. Iftekharuddin Jan 2022

Radiomic Texture Feature Descriptor To Distinguish Recurrent Brain Tumor From Radiation Necrosis Using Multimodal Mri, M. S. Sadique, A. Temtam, E. Lappinen, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Despite multimodal aggressive treatment with chemo-radiation-therapy, and surgical resection, Glioblastoma Multiforme (GBM) may recur which is known as recurrent brain tumor (rBT), There are several instances where benign and malignant pathologies might appear very similar on radiographic imaging. One such illustration is radiation necrosis (RN) (a moderately benign impact of radiation treatment) which are visually almost indistinguishable from rBT on structural magnetic resonance imaging (MRI). There is hence a need for identification of reliable non-invasive quantitative measurements on routinely acquired brain MRI scans: pre-contrast T1-weighted (T1), post-contrast T1-weighted (T1Gd), T2-weighted (T2), and T2 Fluid Attenuated Inversion Recovery (FLAIR) that can …


Assessment Of Combined Modality Therapy For Non-Small-Cell Lung Carcinoma: A Simulation Study Concerning Concurrent Chemo-Brachytherapy, Hadi Rezaei, Hesameddin Mostaghimi, Ali Reza Mehdizadeh Jan 2022

Assessment Of Combined Modality Therapy For Non-Small-Cell Lung Carcinoma: A Simulation Study Concerning Concurrent Chemo-Brachytherapy, Hadi Rezaei, Hesameddin Mostaghimi, Ali Reza Mehdizadeh

Electrical & Computer Engineering Faculty Publications

Although surgery is the treatment of choice for early-stage non-small-cell lung carcinoma, almost two-thirds of patients do not have acceptable pulmonary function for extensive surgeries. The alternative approach for this large group of patients is sublobar resection along with low-dose-rate (LDR) brachytherapy (BT). However, patients with resected lungs have a high risk of recurrence and are often treated with platinum-based (Pt-based) chemotherapy (CT). In this study, we aimed to evaluate the absorbed doses of lung and other thoracic organs, considering concurrent chemo-BT with LDR sources in two modalities: conventional vs. unconventional Pt-based CT. We used the MCNPX code for simulations …


Blockchain-Based Digital Trust Mechanism: A Use Case Of Cloud Manufacturing Of Lds Syringes For Covid-19 Vaccination, Trupti Rane, Jingwei Huang Jan 2022

Blockchain-Based Digital Trust Mechanism: A Use Case Of Cloud Manufacturing Of Lds Syringes For Covid-19 Vaccination, Trupti Rane, Jingwei Huang

Engineering Management & Systems Engineering Faculty Publications

Trust is essential in the digital world. It is a critical task to build digital trust for the ongoing digital engineering transformation. Aiming at developing a blockchain-based digital trust mechanism for Cloud Manufacturing or Manufacturing-as-a-Service (MaaS), in this paper, we use the manufacturing of low dead space (LDS) medical syringes through Cloud Manufacturing as a motivating scenario to develop a basic framework. To meet the need of optimally saving COVID-19 vaccine doses to save more lives, the medical device manufacturing community needs to make a swift move to meet the surged need for LDS syringes. Cloud Manufacturing is a form …


Uncertainty Estimation In Classification Of Mgnt Using Radiogenomics For Glioblastoma Patients, W. Farzana, Z. A. Shboul, A. Temtam, K. M. Iftekharuddin Jan 2022

Uncertainty Estimation In Classification Of Mgnt Using Radiogenomics For Glioblastoma Patients, W. Farzana, Z. A. Shboul, A. Temtam, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Glioblastoma Multiforme (GBM) is one of the most malignant brain tumors among all high-grade brain cancers. Temozolomide (TMZ) is the first-line chemotherapeutic regimen for glioblastoma patients. The methylation status of the O6-methylguanine-DNA-methyltransferase (MGMT) gene is a prognostic biomarker for tumor sensitivity to TMZ chemotherapy. However, the standardized procedure for assessing the methylation status of MGMT is an invasive surgical biopsy, and accuracy is susceptible to resection sample and heterogeneity of the tumor. Recently, radio-genomics which associates radiological image phenotype with genetic or molecular mutations has shown promise in the non-invasive assessment of radiotherapeutic treatment. This study proposes a machine-learning framework …