​ACADEMIC RESEARCH

AHUJA, Kushpreet

Can Exercise Improve any Eating Disorders (Anorexia, Bulimia, and Binge Eating Disorder)?
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BAE, Jina

Development of a Novel Antibody For Cancer Therapy Targeting Intracellular RAS Mutant Proteins
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BAINSLA, Omansh

A Novel Deep Learning Model for Image Recomposition of Adverse Weather Conditions to Isolate Critical Subjects in Camera Input from Autonomous Vehicles.
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BUCEVIC, Ana

Modifying Olanzapine in order to Reduce Weight Gain
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CHEN, Billy

The Relationship Between Air Pollution and Vitamin D Deficiency: A Systematic Review
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CHEN, Stefanie

A Systematic Analysis of the Relationship between Covid-19 and Oral Health
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COSKUN, Busra

The Analysis of CD4/CD8 Ratios in High and Low Hierarchy Sows
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DEY, Aniket

Novel Algorithms for Predictive Analytics on Retention in the HIV Patient Care Continuum
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ENGEN, Rachael

Attracting Talent in the Biotechnology Industry
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FATIMA, Afsheen

The Role of Astrocytes in the Relationship Between Tau Pathology & Synaptic Dysfunction
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FUGATE, Melodi

Microplastics’ Effects Alone and with Imidacloprid and Cobalt in Apis mellifera
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FUJITA, Shun

Applicability of Horizontal and Vertical-Downward Correlations for Two-Phase Flow in a 90° Elbow
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GIRDHAR, Stuti

How Has the COVID-19 Pandemic Changed Sleeping Patterns in Adolescents?
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GOLDTEIN, Tyler

Analytics in Sumo Wrestling
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GUNTURI, Meghana

Applications of a Convolutional Neural Network to Aid Patients in Performing Machine-Learning Aided Dermatological Diagnosis
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HA, Jaimie Yoon

Exploring the Relationship Between HRV and Stress Levels via Machine Learning Algorithms
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HAGERTY, STEPHEN

Impact of Piracy on the Anime Industry in the United States
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HU, SOPHIA

Correlation of Social Determinants of Health, Poverty, and Political Participation With COVID-19 Vaccination Rates
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HUANG, Jennifer

Understanding Stigma Regarding Mental Health Care in Racial and Ethnic Minorities: A Systematic Review
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HUANG, Julia

"What's That Sound?": A Versatile, Robust, and Lightweight Convolutional Transformer for Environment Sound Recognition
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JEONG, Seyoon

Machine Learning Model to Predict the ADHD Patient from the Text Content
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