Digital Commons @ Harrisburg University of Science and Technology
Not a member yet
435 research outputs found
Sort by
Application of Artificial Intelligence and Machine Learning in Drug Discovery and Development
No full textDrug discovery has traditionally been a time-consuming and expensive endeavor. Additionally, drugs weren’t as effectively designed as those that are being predicted and developed through AI and ML today. Machine learning is a form of artificial intelligence that develops and evolves based on experience (similarly to the human mind), and is more recently being utilized in drug discovery and design. The integration of AI and ML into the drug discovery and development process has allowed for higher target precision, lower toxicity, and better dosage formulations. AI more generally has been introduced to and has been leveraged at, each step of drug development, including target identification and validation, hit identification, as well as hit to lead optimization, and has been key in shortening the previously lengthy drug screening process. AI and ML have also been applied downstream in drug formulation where it has maximized resource utilization and is allowing for web-based 3D printing of drugs. The application of AI in the drug development process has also been extended to the modeling of novel drug-like compounds to predict their ADMET properties. This review will address the stages of drug discovery and development in which the application of AI and ML modeling has altered the traditional development of dru
Ant colony optimization with simulated annealing algorithm for google maps
No full textIn the article that is being suggested, a brandnew, sophisticated route optimization is created using cuttingedge software that makes use of Google APIs and unsupervised machine learning. Since Google Maps and its API have improved recently, outmoded solutions have been decommissioned. Therefore, route optimization is carried out in this study using a heuristic method by merging three approaches, including ant colony optimization (ACO), simulated annealing algorithm (SA), and updated Google APIs. Along with executing route optimization, these three techniques-based ACO-SA-Google Maps (ASG) API will be contrasted with other approaches including genetic algorithms, K-means clustering, particle swarm optimization (PSO), etc. to assess performance, cost, and carbon emissions. The demand for home delivery, travel, and other necessities is increasing as a result of population increase and a developing technology lifestyle, necessitating the use of contemporary equipment by the average person. To increase performance, the ASG technique will develop route optimization using a modernized methodology. Route optimization eventually aims to be used in a variety of contexts, from uber applications to Amazon deliveries. Variation coefficient and relative percentage difference are two types of statistical indicators that are employed in the process of studying and verifying this model. To display and contrast the findings, the execution times in seconds are also considered
Habit-Tracking Application for Individuals with Attention Deficit Hyperactivity Disorder (ADHD)
Get PDFThis project aims to create a habit-tracking app that would cater to the needs of those with ADHD while being accessible enough to be used by the general, neurotypical public
A Study of Video Game Genre Preference of Male and Non-Male Students at Harrisburg University
No full textWe plan to survey at least 100 students at Harrisburg university, where there is a very large gaming community, about their tendencies towards certain video game genres to collect the necessary categorical data. Separating the data into different genres serves to help our audience better visualize the disparity in representation between men and non-men in these genres and the studies based on them. By demonstrating the disproportion in the number of non-men versus men who play the popularly studied genres, we hope to shed light on how underrepresented non-men are in the video-game research community. We also hope to encourage others to purposefully study these genres so that we may better understand the possible positive and negative effects of video games on non-me
Antimicrobial Activity of Holy Basil
No full textHoly Basil aka Osmium tenuiflorum is a widely used herb for its medical properties. The aim of this study is to test antimicrobial activity of Holy Basil against B. subtilis and E. coli. Osmium tenuiflorum will inhibit bacterial growth due to its content of bioactive compounds and fatty acid present in its essential oil. Furthermore, the zone of inhibition for all three concentrations were 15 µL, 20µL, and 25µL of 26.23g leaves/ml methanol extract of basil essential oil. Additionally, no zone of inhibition was visible at the concentrations for E. coli. Overall, the methanol extract of basil oil was effective against gram-positive B. subtilis
Bioremediation of acid mine drainage using Pleurotus ostreatus (oyster mushroom) mycelium
No full textMost popular genre\u27s of videogames to play for HU students
Get PDFOur Poster will show the most played and favored videogame genre\u27s according to HU students
Forecasting Migration to the United States from Hong Kong and India
Get PDFThis study investigates the forecasting of migration from India and Hong Kong to the United States. To study this, quantitative design is employed so numerical data can be used. The proposed research strategy uses the post-positivism approach, as this method can help with looking for explanations via numerical data. The data collection is through using archived data available from the Department of Homeland Security’s website, which is analyzed using descriptive and inferential analysis. The results show how migration trends increase for India but slowly decrease for Hong Kong, along with the best models used to forecast migration