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Identification of Novel Antimicrobial Peptides with Designed Activity through a QSAR Based Machine Learning Model

Computational Biology and Bioinformatics

Antimicrobial peptides (AMPs) are a growing field of therapeutics with lower risks of antimicrobial resistance compared to conventional antibiotics. However, experimentally testing peptides…

Identification of Novel LEAD Compounds for Solute Transporter Protein Member 5 in Sensorineural Hearing Loss

Computational Biology and Bioinformatics

2 statistically likely, novel drug candidates for solute transporter protein member 5, SLC5, were identified in this study. Dysfunction of a roundworm orthologue of SLC5, sulp-5, was linked…

Identification of Treatments for Hemophilic Joint Disease Through Evaluation of Vascular Defects via Optimization of Imaging Techniques

Hemophilia A (FVIII deficiency) is characterized by spontaneous bleeding in weight-bearing joints, resulting in hemophilic arthropathy (HA). Bleeding causes inflammation and hypoxia, inducin…

Identifying and Controlling the Spread of Salmonella Pathogens in the Poultry Industry

Translational Medical Science

A significant number of cases of Salmonellosis have been linked to the handling of the more than 50 million day old chicks sold annually from mail order hatcheries, suggesting the need for i…

Identifying and Quantifying Synergistic Effects of Antibiotics from C. leucodermis Formulated with Nanoparticles Using a Simulation-Aided Method

Microbiology

Antibiotic-resistant strains of bacteria, called superbugs, require new strategies to improve infection treatment. In my previous years’ research, I discovered that the Native American herb…

Identifying Functional Disease Drivers in Lupus Nephritis Associated with Glomerular Remodeling

Biomedical and Health Sciences

Lupus Nephritis (LN) is an autoimmune disease that leads to chronic inflammation of the kidney and excessive proteinuria. Current methods of treatment involve management of symptoms and slow…

Identifying Novel Cis-Regulatory Elements in the Viral Genome of Adeno-Associated Virus (AAV) for Increased Genetic Modification Efficiency

Microbiology

Currently over a million cases of cancer are diagnosed each year, around fifty percent result in death. Cancer only accounts for 2.5% of the 4,000 identified genetic diseases. Genetic diseas…

Identifying Optimal Panobinostat Treatment Regimens Utilizing Reverse-Engineered Concentration-Time Curves

Sudalagunta Moffitt Cancer Center The Ex Vivo Mathematical Malignancy Advisor Model (EMMA) is a support tool for treating Multiple Myeloma. A biopsy is taken, and patient plasma cells are cu…

Identifying Responsible Salt Tolerant Genes in Chenopodium Quinoa through Genomic Sequencing Analysis

Plant Sciences

The world today faces an increasing shortage of food production due to the exponential growth in the human population, hence the deficiencies in resources, especially water. According to the…

Identifying Tablets Using Neural Networks

Computational Biology and Bioinformatics

According to the FDA, approximately 1.3 million people are injured due to medicine errors annually in the United States. A large percentage of these people are the elderly and people with mu…

Identifying TEAD Proteins Role and Disrupting YAP1 to Inhibit Oncogenic YAP1 Fusions

Gene fusions are chromosomal aberrations that can have oncogenic functions, causing nearly 20% of global cancer morbidity. This investigation focused on YAP1 fusions. YAP1(yes associated pro…

Identifying which Natural Materials Can Be Used to Create an Environmentally Friendly Sanitary Pad

Materials Science

The purpose of this experiment is to recreate the standard degradable sanitary pad with organic biodegradable ingredients to incorporate a more environmentally friendly alternative while uph…

“I Don’t See Color”: An Analysis of Racial Diversity within Prime Time Television

Mr. Kenneth W. Roedl Racial representation on television has been changing ever since television was invented. This study aims to do three things: 1.) Track the trends television has been se…

Illuminating the Cell's Secrets

Cellular and Molecular Biology

All living organisms are spontaneously emitting ultra-weak photons in basic metabolism and cellular respiration. This photon emission which occurs in living organisms is known as biophoton e…

Immune Agonist Delivery to the Tumor Microenvironment for Antitumoral Activity

Biomedical and Health Sciences (inferred)

Tumor mediated immunosuppression allows tumors to hide from the immune system and avoid recognition. One way of reversing this suppressive microenvironment is to activate antigen-presenting…

Impact of Grain Size and Inclination on Liquefaction Induced Lateral Ground Displacement for Sands Subjected to Simulated Seismic Shock

Earth and Environmental Sciences

Lateral ground displacement is a very dangerous soil phenomenon that occurs in small slopes. Lateral ground displacement can cause excessive damage to buildings and infrastructure but the ex…

Impact of Haltere Removal on Gravitational Perception and Takeoff in Dipteran Insects

Animal movement requires the input of sensory information. In particular, flies use sensors known as halteres, a type of mechanosensory organ located on the metathorax, to aid in flight. How…

Impact of Hydraulic Fracturing on the Susquehanna and Delaware Watersheds

University of Pennsylvania Chemical by-products from the hydraulic fracturing industry are known to contaminate bodies of water, often putting human health at risk. To prevent this issue, th…

Impact of Klotho Gene Variability and DNA Methylation on Traumatic Brain Injury Outcomes

Biomedical and Health Sciences

Traumatic brain injury (TBI) affects about 1.7 million individuals annually. It is one of the leading causes of death and disability in the U.S. The Klotho gene, which plays an important rol…

Implementation of Novel Sector Weight and Google Trends Data Objectives Using MOEA-D Curtails Systematic Risk for Quintessential Investors

Behavioral and Social Sciences

The Markowitz Mean-Variance model provides a computational framework for developing optimized portfolios but fails to account for the risk associated with human behavior. This study proposes…

Implementing a Machine Learning Model in an Effective and Low-Cost Parkinson's Disease Diagnosis Algorithm

Computational Biology and Bioinformatics

Parkinson’s Disease (PD) is a disorder that inhibits the dopaminergic neurons in the brain. Currently, there is no accurate non-clinical way to diagnose PD, forcing medical professionals to…

Implementing an Alert System for Trains at Level Crossings

Embedded Systems

Train crossings are commonplace through US roads; they are a vital part of our transportation systems. Train crossings, however, introduce precarious conditions to our daily commutes. Two cr…

Implementing Supervised Deep Learning with Feedforward Neural Network Using Genetic Algorithms

Robotics and Intelligent Machines

Neural networks and genetic algorithms (GAs) are two techniques for optimization and machine learning, each with its own strengths and weaknesses. This project demonstrated the efficiency an…

Improved Value Investing with Machine Learning and an Innovative K-Nearest Neighbor Algorithm Variant: Development, Evaluation, and Deployment

Systems Software

The majority of approaches to forecast stock market behavior are plagued with scalability, profitability, and applicability issues. The present work comprehensively developed and evaluated 5…

Improvement and Characterization of Novel Energy-Efficient and Adaptable Bioplastic

Materials Science

Bioplastic, or plastic made from sustainable and natural materials, is one of the ways of tackling the world’s plastics problem. The acid-based bioplastic production process developed last y…

Improving Captive Management Strategies for Conservation of Dendrobates auratus

Animal Sciences

The global amphibian extinction crisis necessitates the diligence of conservation practices. This project was designed to improve husbandry conditions for captive Dendrobates auratus, common…

Improving Energy Efficiency of Electric Vehicles via Piezoelectric Incorporated Materials

Energy: Sustainable Materials and Design

In electric vehicles, about 72% of the power that the battery provides to the wheels is dissipated. Of this, 25% is lost from rolling resistance and 39% is lost from wind resistance. Piezoel…

Improving Hazard Characterization in Bacterial Pathogens: Predicting Efficiency of Antibiotics Using Machine Learning

Computational Biology and Bioinformatics

New species of bacteria are being discovered on a daily basis. Fast detection and risk characterization are vital for taking proper action. Current techniques and methods used for microbial…

Improving the Efficiency of the Bicycle

Energy and Transport (inferred)

Bicycles, though they are over 100 years old, have had few improvements in recent history. When first invented, they inspired innovations such as pneumatic tires, wire spokes, ball bearings,…

Improving Tumor Detection Accuracy in Mammograms of Dense Tissue Breast Cancer Patients with Machine Learning Methods and Image Processing Techniques

Translational Medical Science

Breast cancer is the second leading cause of cancer mortality in women, contributing to roughly 40,000 deaths annually. While breast cancer can pose a threat to any woman, those with dense b…