Digital Commons Network^™

Using Korematsu In A Civil Procedure Course, Lorraine Bannai, Margaret Chon, Eric K. Yamamoto

Using Korematsu to Teach Across the Law School Curriculum

No abstract provided.

Using Korematsu In A Constitutional Law Course, Lorraine Bannai, Eric K. Yamamoto

Using Korematsu to Teach Across the Law School Curriculum

No abstract provided.

Using Korematsu To Teach Professional Responsibility (Word With Government Documents At End), Lorraine Bannai

Using Korematsu to Teach Across the Law School Curriculum

No abstract provided.

Covid-19 Is Associated With Early Emergence Of Preeclampsia: Results From A Large Regional Collaborative, Yasmin G. Hasbini, Gregory Goyert, Adi L. Tarca, Madhurima Keerthy, Theodore Jones, Lisa Thiel, Pooja M. Green, Youssef Youssef, Courtney Townsel, Shyla Vengalil, Paige Paladino, Amy Wright, Mariam Ayyash, Gayathri Vadlamudi, Marta Szymanska, Sonia Sajja, Grace Sterenberg, Michael Baracy, Karlee Grace, Kaitlyn Houston, Jessica Norman, Dereje W. Gudicha, Robert J. Sokol, Ray Bahado-Singh, Sonia S. Hassan

Obstetrics, Gynecology and Women's Health Services Meeting Abstracts

Objective: To examine the relationship between COVID-19 and preeclampsia (PreE) in a large, diverse population.

Study Design: The COVID-19 in Pregnancy and The Newborn: State of Michigan Collaborative established a database of pregnant patients admitted to 14 institutions in Southern Michigan. Patients with COVID-19 (cases) were matched to 2 or 3 non-COVID patients (controls) on the same unit within 30 days of each case. Relative Risks (RR) were calculated using robust Poisson regression models with adjustment for covariates. Chi-squared test for trend was used to assess the increase in risk with the severity of disease.

Results: 369 cases and 1,090 …

Racial Disparities And Risk For Covid-19 Among Pregnant Patients: Results From The Michigan Statewide Collaborative, Inara Ismailova, Robert J. Sokol, Dereje W. Gudicha, Yasmin G. Hasbini, Adi L. Tarca, Pooja M. Green, Theodore Jones, Gregory Goyert, Lisa Thiel, Youssef Youssef, Courtney Townsel, Shyla Vengalil, Paige Paladino, Amy Wright, Mariam Ayyash, Gayathri Vadlamudi, Marta Szymanska, Sonia Sajja, Grace Sterenberg, Michael Baracy Jr., Karlee Grace, Kaitlyn Houston, Jessica Norman, Ray Bahado-Singh, Sonia S. Hassan

Obstetrics, Gynecology and Women's Health Services Meeting Abstracts

Objective: Previous studies have looked at COVID-19 outcomes in pregnancy and racial disparities among patients with COVID-19, but few have studied racial disparities among pregnant patients with COVID-19. Our goal in this study is to analyze the relationship between race and disparate COVID-19 risk in pregnancy.

Study Design: A retrospective cohort analysis was performed on data collected as part of the COVID-19 in Pregnancy and The Newborn: State of Michigan Collaborative, a database of pregnant patients admitted to 14 institutions in Southern Michigan. Cases were defined as patients with a positive SARS-CoV-2 test result. Controls, those with suspicion of COVID-19 …

The Transcription Factor Nfe2l2a Is Required For Development Of Hematopoietic Stem Cells In The Zebrafish Embryo, Sivam Bhatt, Teerth Patel, Madeleine Seputro, Anubhav Thapaliya, Erich Damm

UROP Posters

Hematopoietic Stem Cells (HSCs) are the self-renewing population of cells that generate all erythrocytes and leukocytes over the lifetime of a vertebrate organism. HSCs are also the therapeutic units of curative bone marrow transplants used in the treatment of blood malignancies and in gene therapy for genetic blood disorders. In all vertebrate embryos, HSCs originate from the floor of the embryonic dorsal aorta during the endothelial to hematopoietic transition. Nascent HSCs will bud into the blood vessel and be carried to maturation sites by the embryonic blood flow. Despite the curative potential of HSC transplants in blood disorders, this approach …

The Human Louse Microbiome Insights Into Insect-Bacterial Coevolution And Consequences For Vector Capacity, Kirthana Srinivasan

UROP Posters

No abstract provided.

The Relationship Between Social Media Use And Depression And Anxiety Symptoms During Covid-19, Tene'sha L. Crews, Christina Sheerin

UROP Posters

The rise of the coronavirus (COVID-19) pandemic has caused a global surge in exposure to disaster and crisis-related media. Increases in poor mental health outcomes such as anxiety and depression, are associated with increased exposure to such media content (Abbas et al., 2021; Riehm et al., 2020; Zhao & Zhou, 2020). In recent years, social media has become one of the most widely used sources for news; approximately 48% of adult Americans receive their news from social media (Pew Research Center, 2021). During the COVID-19 pandemic, there has been an increase in social media use due to social distancing and …

Comparison Of Free Versus Encapsulated Drugs On 3t3 Differentiation, Simon H. Friedrich, Gabriel Volpe

UROP Posters

The scope of this project was to design, synthesize and test targeted nanoparticles containing hydrophobic and hydrophilic drugs that promote browning in adipose tissue. For hydrophilic drugs the use of liposomes and their hydrophilic core is more useful than the PLGA nanoparticles which have hydrophobic cores. The inhibition of the FOXO1 pathway and modulation of autophagy in adipose tissue can promote browning of white adipose tissue, or an energy burning state where excess energy is burned as heat instead of stored in the cell. If successful, these drugs would offer an alternative treatment for obesity where changes to the patient's …

The Landscape Of Accessible Chromatin In Quiescent Cardiac Fibroblasts And Cardiac Fibroblasts Activated After Myocardial Infarction, Chaoyang Yi, Jiangwen Sun, Qianglin Liu, Sanjeeva Dodlapati, Hao Ming, Leshan Wang, Yuxia Li, Rui Li, Zongliang Jiang, Joseph Francis, Xing Fu

Computer Science Faculty Publications

After myocardial infarction, the massive death of cardiomyocytes leads to cardiac fibroblast proliferation and myofibroblast differentiation, which contributes to the extracellular matrix remodelling of the infarcted myocardium. We recently found that myofibroblasts further differentiate into matrifibrocytes, a newly identified cardiac fibroblast differentiation state. Cardiac fibroblasts of different states have distinct gene expression profiles closely related to their functions. However, the mechanism responsible for the gene expression changes during these activation and differentiation events is still not clear. In this study, the gene expression profiling and genome-wide accessible chromatin mapping of mouse cardiac fibroblasts isolated from the uninjured myocardium and the …

Mental Health Among Chicanos And Chicanas: Barriers To Mental Health Care, Consequences Of Disparities, And Resources, Roma A. Kankaria, Shaheer Alam, Ananya Udyaver, Alyssa Sievers

UROP Posters

Mexican Americans, or Chicanos and Chicanas, face many barriers to mental health care. This literature review was conducted by the Collective Corazón—a VCU student organization, mentored by Dr. Indira Sultanić, that addresses Latinx health equity through service and advocacy—in order to examine the underlying causes and consequences of disparities in mental health in Chicanos and Chicanas. Some of the barriers that affect mental health care in Mexican Americans are racial inequities and discrimination, the societal and/or cultural stigma associated with receiving care, language barriers, lack of health insurance, and legal status. Furthermore, among Chicanos, machismo culture is associated with an …

Man Vs Machine: How Will Artificial Intelligence And Machine Learning Systems Impact Cancer Diagnosis And The Patient-Physician Relationship?, Aditya Kotha, Faye Prichard

UROP Posters

Oncologic diagnosticians are physicians who specialize in interpreting diagnostic exams to diagnose cancer in patients. Software companies have been developing artificial intelligence (AI) systems to interpret these exams to diagnose cancer. These AI systems may affect the traditional role of oncologic diagnosticians if they were to be implemented in the clinical setting. Therefore, I set out to answer my research question: How will AI and machine learning systems impact the roles of oncologic diagnosticians in diagnosing cancer and the patient-physician relationship? By analyzing surveys and studies, I examined the attitudes of oncologic diagnosticians versus cancer patients toward implementing AI systems …

Development And Usability Testing Of A Phr For Down’S Syndrome (Ds) Care Coordination, Jeffrey B. Duah, Elizabeth Baker Ph.D, Bethany Cosgrove Ph.D, Isosceles Lab

UROP Posters

Development and Usability Testing of a PHR for Down’s

Syndrome (DS) Care Coordination

Jeffrey Duah¹, UROP Fellow, Dept. of Computer Science, with Dr. Elizabeth Baker¹, Dept. of Information Systems, Dr. Bethany Cosgrove², School of Nursing, and ISOSCELES Lab¹

¹Virginia Commonwealth University ²UNC Chapel Hill

Parents of children with Down’s Syndrome typically have many health professionals they have to meet with which leads to the need to efficiently document the development of the child. With this, information management becomes a problem for a number of families. Dr. Bethany Cosgrove drafted 321Connect with …

The Association Between Survivors’ Guilt And Gratitude In The Belongingness Of First-Generation College Student Refugees, Mehwish Safdar, Chelsea Williams, Myriam Kadeba

UROP Posters

Refugees often experience a lot of stress and trauma before relocating to their host country (Leo, 2021). Additionally, they often continue to experience different challenges while adapting to their new environment (Leo, 2021). Refugees who relocate may experience survivor’s guilt, gratitude to their host country, or may not feel like a member in their new community. On top of new challenges and stressors, refugee students who are the first in their families to attend college feel pressure to excel academically in a way to ‘give back’ to their family and their host country (Turjanmaa & Jasinskaja-Lahti, 2020). Although there has …

Determining Effective Treatment Regimens For Breast Cancer Using Combined Immunotherapy And Chemotherapy In Vivo, Akhila R. Kunuthuru, Laura Graham, Harry D. Bear Md, Phd

UROP Posters

Breast cancer has the highest incidence rate of all cancers globally in women, and those of African descent, especially West African females, face higher rates of triple-negative breast cancer (TNBC), a more aggressive form of breast cancer. Immunotherapy for breast cancer is a relatively new treatment option, and research is ongoing to identify the best combination treatments for increasing survival of those diagnosed with TNBC. Eganelisib (IPI-549: a PI3K-gamma inhibitor that works to shift M2 macrophages to M1 to augment T cell function) with other combinatory treatments has shown promising results in reducing tumor growth and increasing survival in mice. …

Spanish Translation And Psychometric Validation Of A Measure Of Acculturative Stress Among Latinx Immigrants In The Usa, Ria Grover, Kritzia Merced, Chimdindu Ohayagha, Isis Garcia-Rodriguez,, Oswaldo Moreno, Paul B. Perrin

UROP Posters

BACKGROUND: In the U.S., the Latinx community is growing at a faster rate than any other racial and ethnic minority group. Members of this community have been found to experience a number of acculturative stressors after immigrating including xenophobia, racism, and discrimination. Although several scales have been created in recent years to measure acculturative stress in Spanish-speaking immigrants, they are long, do not have nuanced subscales, or have not been validated in an extremely diverse sample of Latinx immigrants.

OBJECTIVE: The purpose of the current study was to translate and psychometrically validate the Riverside Acculturative Stress Inventory (RASI) in a …

Neonatal Blood Methylation Marks Associated With Obstetric Pain Relief, Charles J. Tran, Lin Y. Xie, Christina Hultman, Edwin Van Den Oord, Karolina A. Aberg

UROP Posters

The placenta, responsible for intrauterine development, can facilitate modifications within the placental epigenome in response to changes in the mother. In turn these changes have the potential to also influence the neonate¹. Pain relief during delivery is widely used and frequently involves the use of nitrous oxide (N₂O, commonly referred to as laughing gas), and pudendal blocks. These treatments, alone or in combination, are generally accepted as safe methods of providing pain relief to mothers. However, laughing gas and local anesthetics such as the ones used during pudendal blocks have been known to cross the placental …

Covid-19 Impact And The Association Between Sociodemographic, Social Support, Depression, And Anxiety In The Mindful Moms Program, Ashley Nguyen

UROP Posters

Background: The Covid-19 Pandemic lockdown resulted in lessened social support and a higher incidence of depressive symptoms in the United States. Low-income families were more likely to have experienced negative impacts on income, access to mental health treatment, stress, and discord within the family, and higher anxiety scores during the pandemic. Minority groups had higher COVID-19 incidence and mortality rates. More than 1 in 5 pregnant women in the United States experience clinically significant depressive symptoms, with marginalized populations carrying a greater burden. Maternal depression is linked to poor maternal and child health outcomes.

Depression scores of pregnant individuals during …

Exploring Cell Differentiation Vs. Localization In Engineered Ligament-To-Bone Entheses, Saagar N. Sheth, Michael E. Brown, Jennifer L. Puetzer

UROP Posters

The anterior cruciate ligament (ACL) connects to bone via structurally complex insertions known as entheses that translate load from elastic ligament and stiff bone via gradients in organization, composition, and cell phenotype [1]. These gradients are not recreated in graft repair or engineered replacements, yielding limited repair options and high failure rates [2]. Previously, we developed a culture system that uses a tensile-compressive interface to guide ligament fibroblasts to develop early postnatal-like entheses by 6 weeks [3]; however, cells used were isolated from the entirety of the neonatal bovine ACL from bone to bone and likely contained multiple cell phenotypes …

Developing A Model Of Aged Decellularized Muscle Matrix With Advanced Glycation Cross-Linking, Ammar Jawad, Scott Pennebaker, Lucas C. Olson, Tri M. Nguyen, Barbara D. Boyan, Zvi Schwartz, Michael J. Mcclure

UROP Posters

Volumetric muscle loss (VML) has been found to overwhelm muscle regeneration, resulting in loss of long-term muscle functionality. Decellularized muscle matrices (DMMs) provide an effective environment for muscle regeneration; however, the age of their source has not been adequately explored for clinical translation. Advanced glycation end-products (AGEs) are chemical cross-links that contribute to the aging process by accumulating on collagen fibers, resulting in a stiffening of the collagenous matrix and an increase in inflammation via the receptor for advanced glycation end-products (RAGE). In previous experiments, we found increased levels of AGE-specific cross-links within DMMs in old mice compared to young …

Observing Gravitropism In Brassica Rapa Roots, Trang Ly, Maya O'Callagham, Lan Poeschl, Adil Saeed, George Zorn

UROP Posters

The objective of this experiment is to observe the effect of gravitropism on the orientation of Brassica rapa (B. rapa) roots. Specifically, amyloplasts that reside at the bottom of root tips act as gravity sensors. As plants are disturbed from upright orientation, roots automatically grow according to the downward pull of gravity. It is hypothesized that as the angle of rotation increases, the angle of root growth is inversely proportional. Five plants containing four seeds of B. rapa were grown over the course of 10 days. Each plates, aside from the control, were rotated once 90°, 80°, and 270° to …

Eye Movement And Pupil Measures: A Review, Bhanuka Mahanama, Yasith Jayawardana, Sundararaman Rengarajan, Gavindya Jayawardena, Leanne Chukoskie, Joseph Snider, Sampath Jayarathna

Computer Science Faculty Publications

Our subjective visual experiences involve complex interaction between our eyes, our brain, and the surrounding world. It gives us the sense of sight, color, stereopsis, distance, pattern recognition, motor coordination, and more. The increasing ubiquity of gaze-aware technology brings with it the ability to track gaze and pupil measures with varying degrees of fidelity. With this in mind, a review that considers the various gaze measures becomes increasingly relevant, especially considering our ability to make sense of these signals given different spatio-temporal sampling capacities. In this paper, we selectively review prior work on eye movements and pupil measures. We first …

Completing Single-Cell Dna Methylome Profiles Via Transfer Learning Together With Kl-Divergence, Sanjeeva Dodlapati, Zongliang Jiang, Jiangwen Sun

Computer Science Faculty Publications

The high level of sparsity in methylome profiles obtained using whole-genome bisulfite sequencing in the case of low biological material amount limits its value in the study of systems in which large samples are difficult to assemble, such as mammalian preimplantation embryonic development. The recently developed computational methods for addressing the sparsity by imputing missing have their limits when the required minimum data coverage or profiles of the same tissue in other modalities are not available. In this study, we explored the use of transfer learning together with Kullback-Leibler (KL) divergence to train predictive models for completing methylome profiles with …

Visual Descriptor Extraction From Patent Figure Captions: A Case Study Of Data Efficiency Between Bilstm And Transformer, Xin Wei, Jian Wu, Kehinde Ajayi, Diane Oyen

Computer Science Faculty Publications

Technical drawings used for illustrating designs are ubiquitous in patent documents, especially design patents. Different from natural images, these drawings are usually made using black strokes with little color information, making it challenging for models trained on natural images to recognize objects. To facilitate indexing and searching, we propose an effective and efficient visual descriptor model that extracts object names and aspects from patent captions to annotate benchmark patent figure datasets. We compared two state-of-the-art named entity recognition (NER) models and found that with a limited number of annotated samples, the BiLSTM-CRF model outperforms the Transformer model by a significant …

Refinement Of Alphafold2 Models Against Experimental And Hybrid Cryo-Em Density Maps, Maytha Alshammari, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Recent breakthroughs in deep learning-based protein structure prediction show that it is possible to obtain highly accurate models for a wide range of difficult protein targets for which only the amino acid sequence is known. The availability of accurately predicted models from sequences can potentially revolutionise many modelling approaches in structural biology, including the interpretation of cryo-EM density maps. Although atomic structures can be readily solved from cryo-EM maps of better than 4 Å resolution, it is still challenging to determine accurate models from lower-resolution density maps. Here, we report on the benefits of models predicted by AlphaFold2 (the best-performing …

Loss Of Acta2 In Cardiac Fibroblasts Does Not Prevent The Myofibroblast Differentiation Or Affect The Cardiac Repair After Myocardial Infarction, Yuxia Li, Chaoyang Li, Qianglin Liu, Leshan Wang, Adam X. Bao, Jangwook P. Jung, Sanjeev Dodlapati, Jingwen Sun, Peidong Gao, Xujia Zhang, Joseph Francis, Jeffery D. Molkentin, Xing Fu

Computer Science Faculty Publications

In response to myocardial infarction (MI), quiescent cardiac fibroblasts differentiate into myofibroblasts mediating tissue repair. One of the most widely accepted markers of myofibroblast differentiation is the expression of Acta2 which encodes smooth muscle alpha-actin (SMαA) that is assembled into stress fibers. However, the requirement of Acta2/SMαA in the myofibroblast differentiation of cardiac fibroblasts and its role in post-MI cardiac repair remained unknown. To answer these questions, we generated a tamoxifen-inducible cardiac fibroblast-specific Acta2 knockout mouse line. Surprisingly, mice that lacked Acta2 in cardiac fibroblasts had a normal post-MI survival rate. Moreover, Acta2 deletion did …

Online Deep Learning From Doubly-Streaming Data, Heng Lian, John S. Atwood, Bo-Jian Hou, Jian Wu, Yi He

Computer Science Faculty Publications

This paper investigates a new online learning problem with doubly-streaming data, where the data streams are described by feature spaces that constantly evolve, with new features emerging and old features fading away. A plausible idea to deal with such data streams is to establish a relationship between the old and new feature spaces, so that an online learner can leverage the knowledge learned from the old features to better the learning performance on the new features. Unfortunately, this idea does not scale up to high-dimensional multimedia data with complex feature interplay, which suffers a tradeoff between onlineness, which biases shallow …

Is Ethereum's Progpow Asic Resistant?, Jason Orender, Ravi Mukkamala, Mohammad Zubair, Steven Furnell (Ed.), Paolo Mori (Ed.), Edgar Weippl (Ed.), Oliver Camp (Ed.)

Computer Science Faculty Publications

Cryptocurrencies are more than a decade old and several issues have been discovered since their then. One of these issues is a partial negation of the intent to “democratize” money by decentralizing control of the infrastructure that creates, transmits, and stores monetary data. The Programmatic Proof of Work (ProgPoW) algorithm is intended as a possible solution to this problem for the Ethereum cryptocurrency. This paper examines ProgPow’s claim to be Application Specific Integrated Circuit (ASIC) resistant. This is achieved by isolating the proof-of-work code from the Ethereum blockchain, inserting the ProgPoW algorithm, and measuring the performance of the new implementation …

Theory Entity Extraction For Social And Behavioral Sciences Papers Using Distant Supervision, Xin Wei, Lamia Salsabil, Jian Wu

Computer Science Faculty Publications

Theories and models, which are common in scientific papers in almost all domains, usually provide the foundations of theoretical analysis and experiments. Understanding the use of theories and models can shed light on the credibility and reproducibility of research works. Compared with metadata, such as title, author, keywords, etc., theory extraction in scientific literature is rarely explored, especially for social and behavioral science (SBS) domains. One challenge of applying supervised learning methods is the lack of a large number of labeled samples for training. In this paper, we propose an automated framework based on distant supervision that leverages entity mentions …

A Synthetic Prediction Market For Estimating Confidence In Published Work, Sarah Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmann Balaji, Anna Squicciarini, Anthony Kwasnica, David Pennock, Michael Mclaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, Lee Giles

Computer Science Faculty Publications

[First paragraph] Concerns about the replicability, robustness and reproducibility of findings in scientific literature have gained widespread attention over the last decade in the social sciences and beyond. This attention has been catalyzed by and has likewise motivated a number of large-scale replication projects which have reported successful replication rates between 36% and 78%. Given the challenges and resources required to run high-powered replication studies, researchers have sought other approaches to assess confidence in published claims. Initial evidence has supported the promise of prediction markets in this context. However, they require the coordinated, sustained effort of collections of human experts …