Digital Commons Network^™

Understanding The Spread Of Black Sigatoka Disease: A Deterministic And Stochastic Modeling Approach, Bernard Asamoah Afful, Luis F. Gordillo

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Sickle Cell Disease Using A Sleep-Pain-Inflammation Cycle, Milan Marsh

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling The Probability Of N Clonal Rosettes In A Bromeliaceae Genetic Individual, Erin N. Bodine, Layla K. Lammers

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

The Impacts Of Metapopulation Structure On Infectious Disease Dynamics, Éowyn M. Poplawski, David Brown

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling And Analysis Of The Impacts Of The Rise In Ai Use On Data Center Growth, Resulting Workforce Displacement, And Environmental Impacts Through A Coupled System Of Ordinary Differential Equations Within A Feedback Framework, Divya Laddha, Alonso Gabriel Ogueda, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Using Compartmental Systems Of Ordinary Differential Equations And Optimal Control Theory To Compute Ideal Quantities Of Mentors For Student Populations, Timofey B. Gafurov

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Probiotic Bacterial Control Of White-Nose Syndrome In Little Brown Bat Colonies, Bethany Droubay, Alex Capaldi

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Compartmental Model For Diurnal Atlantic Stingray Migration, Rhianna Yates, Leah Glasser, Elena Wheatley, Christopher Hay-Jahans

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Mathematically Modeling Stoichiometric Drivers Of Heterotrophic N2 Fixation, Corday R. Selden, Rebecca Everett, Halvor H. Halvorson, Megan E. Berberich, Luca Schenone, Angela Peace, Renn Schipper, Edwin Cruz-Rivera, James Powell, Keisuke Inomura, Robinson W. Fulweiler, Amy M. Marcarelli, J Thad Scott

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Compartmental Model For Annual Bat Migration, Elena D. Wheatley, Rhianna Yates, Leah Glasser, Christopher Hay-Jahans

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling The Impact Of Treatment During An Ongoing Tuberculosis Outbreak, Bach Le, Jude Shive, Erin N. Bodine

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling, Analysis And Simulation With Optimal Control Applied To Malnutrition, Dia Bonsu

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Balancing Stability And Complexity In Boolean Models Of Biological Networks, Venkata Sai Narayana Bavisetty

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Compartmental Model For Periodic Animal Migration, Rhianna Yates, Leah Glasser, Elena Wheatley, Christopher Hay-Jahans

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Compartmental Model For Annual Blue Whale Migration, Leah Glasser, Christopher Hay-Jahans, Elena Wheatley, Rhianna Yates

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Optimizing The Distribution Of Fruiting Agave On Bat-Friendly Tequila Plantations, Grace Gorreck, Clarissa Azurin, Lois Carpenter

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Spatial Strategies In Ants: Modeling Polydomy, Saya Zeleznik, Fred Adler

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Parameter Estimation And Simulation In Pollution-Induced Asthma Disease Model Using Physics-Informed Neural Networks, Aadi Gannavaram

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Self-Organizing Networks In Life Sciences And Beyond, Nina H. Fefferman

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Predicting An Uncertain Future: Conservation Easements And The Difficulties Created By Speculative Valuations, Travis L. Strickler

Kentucky Law Journal

No abstract provided.

The Fact-Finders' Dialectic: Beyond Rationalist Optimism And Realist Pessimism, Michael Head

Kentucky Law Journal

No abstract provided.

Startup Success Forecasting Through Machine Learning: A Comprehensive Analysis Of It Startups, Khaled Abdulla Alhassani

Thesis/ Dissertation Defenses

Lately, startups attracted significant attention from investors throughout the previous years. This raised several questions concerning startups and what they possibly define as them. It could refer to collective individuals who focus on innovative ideas with a reproducible and scalable business model; others refer to it as a newly established business. Nevertheless, all these definitions lead to a predictive question. Will these startups face success? This study explores startup success prediction methods, focusing on forecasting information technology startup (SIT) insights using Machine Learning (ML) models such as Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), K-Nearest Neighbor (k-NN), …

Reforming Military Curriculum In The Era Of Big Data: Case Study Of The Albanian Armed Forces Academy, Etleva Smaci Assoc Prof

Journal of Peace, Conflict, and Security Studies

The digital revolution and the emergence of Big Data have profoundly impacted modern military operations. As data becomes a strategic asset, military education must evolve to prepare officers not only for traditional combat but also for data driven decision-making.

This case study explores how the Albanian Armed Forces Academy can reform its military curriculum to meet the demands of the Big Data era. The analysis is based on a review of contemporary literature and a survey conducted among students enrolled in the technology program at the Faculty of Defense and Security.

Findings indicate that students perceive the integration of big …

Itegration Of Emerging Technologies In Cybersecurity Education, Dimitar Bogatinov, Nevena Serafimova, Aleksandar Petrovski, Andrej Iliev, Biljana Karovska

Journal of Peace, Conflict, and Security Studies

Emerging technologies such as Artificial Intelligence (AI), Virtual Reality (VR) are revolutionizing cybersecurity education by offering immersive, interactive learning experiences tailored to the tech-savvy Generation Z and Alpha learners. Traditional educational methods are increasingly inadequate for preparing students to navigate the rapidly evolving cyber threat landscape.

Virtual labs, AI-driven tutors, and cyber training environments create dynamic learning opportunities where students can engage in realistic simulations to develop critical skills in threat detection, response, and mitigation. However, challenges such as high implementation costs, rapid technological advancements, and a shortage of qualified instructors complicate the integration of these technologies.

Despite these challenges, …

‘Reflective Learning’ – Teaching The South African Military Academy Way, Jean Pierre Scherman Dr

Journal of Peace, Conflict, and Security Studies

Professional military education for young officers within the South African National Defence Force (SANDF) has since 1950 been vested within the South African Military Academy (SAMA), Faculty of Military Science, Stellenbosch University. As an all services academy, the SAMA houses student from all four arms of service that constitute the SANDF, namely the South African Army, Navy, Air Force and Medical Health Services. With such a vastly different student body, the five schools within the SAMA correspondingly cover an extremely varied field of study ranging from military law and military management to military psychology all the way to more traditional …

New Evidence Of Mid-Pleistocene Glaciations In The French Jura Mountains Using Debris Flow Deposits And U/Th Dating Of Speleothems (Verneau Karst Network), Margot Vivier, Stéphane Jaillet, Eglantine Husson, Edwige Pons Branchu, Jean-Baptiste Charlier

International Journal of Speleology

We redefine the extent of former glaciers in the northern Jura Mountains through the study of endokarst deposits. Sedimentary deposits (pebbly debris flows, laminated clays, and allochthonous limestone blocks) and chemical deposits (speleothems) were identified and studied using three complementary approaches: (i) detailed geomorphological mapping, (ii) petrographic analysis, and (iii) U/Th-dating. In addition, a surface geomorphological analysis made it possible to calculate the minimum erosion time required for the formation of the sinkhole linked to the underground study site. The study site is the Dolois Chamber, an underground site upstream of the Verneau karst network (Doubs Department, France). The combined …

California Brown Pelican Pelecanus Occidentalis Community Science Project: Potential For Population Monitoring, Deborah L. Jaques, Tamara M. Russell, Joseph R. Liebezeit, Anna Weinstein, Richard R. Veit, Daniel Orr, Michael W. Parker, Jim A. Howard, David M. Mazurkiewicz, Daniel W. Anderson, Yuliana Bedolla-Guzmán

Marine Ornithology

From 2016 to 2019, we monitored the distribution, abundance, and age structure of California Brown Pelican Pelecanus occidentalis californicus at nearshore communal roosts along the U.S. West Coast. This effort used “snapshot” surveys during spring and fall, simultaneously engaging up to 111 “community science” participants, i.e., volunteers, on single dates. Volunteers surveyed up to 89 sites and found as many as 22,000 Brown Pelicans. We derived abundance and population structure indices from these data and sought relationships to annual breeding season metrics and large-scale oceanographic indices in the California Current System (CCS). The proportion of immature birds increased during the …

Measurement Uncertainty, Barton L. Smith, Douglas R. Neal

Mechanical and Aerospace Engineering Textbooks

This text is based on the graduate Measurements course notes from BLS at Utah State University. It is intended as a textbook for graduate students in engineering or physics or as a reference text.

If one collects several texts on measurement uncertainty, it quickly becomes clear that the measurement uncertainty community lacks a consistent language or nomenclature. This can be confusing to a new reader who may view measurement uncertainty as a very old and settled topic. The lack of consensus on nomenclature likely stems from the lack of a clear winner–a paradigm and nomenclature set sufficiently superior to be …

The Student Movement Volume 110 Issue 7: Packed Calendars, High Stakes, And Cowboy Hats, Aiko J. Ayala Rios, Esther Martin, Megan Constantine, Reagan Westerman, Jj Nixon, Isa Demoraes, Caleb Chung, Laura Pérez, Finnegan Blake, Michael Orellana, Ayanda Dewa, Melissa Moore, Anna Rybachek, Nicoleta Cojan, Corinna Bevier

The Student Movement V. 110 (2025-2026)

ARTS & ENTERTAINMENT

AUSO Travels Through Emotions and Space with Sibelius and Holst, Aiko J. Ayala Rios

More Than A Teacher: Mark Moreno's Influence at SAID, Esther Martin

Roll for Friendship: How the Gaming Club Helps Students Build New Connections, Megan Constantine

More Than Medicine: A Look Into Zoë Oster's Time at Andrews, Reagan Westerman

NEWS

Boots on the Ground and Christmas All Around: AUSA's Holiday Barn Party, JJ Nixon

Men's Cardinals Tip-Off Basketball Season with a Strong Start, Isa DeMoraes

"The Choir of Heaven": Andrews University Fall Choirs' Concert, Caleb Chung

AU Packs Christmas Spirit for Prisoners, Laura Pérez …

Artificial Intelligence (Ai) In Pharmaceutical Formulation And Dosage Calculations., Sameer Joshi, Sandeep Sheth

PCOM Scholarly Works

Artificial intelligence (AI) is reforming pharmaceutical sciences by renovating traditional drug formulation and dosage calculation approaches. This review provides a comprehensive overview of how AI technologies, such as machine learning (ML), deep learning (DL), and natural language processing (NLP), are currently being used in pharmaceutical calculations to improve accuracy, efficiency, and personalization. We have explored the role of AI in predicting drug properties, excipient optimization, and formulation design, as well as its applications in pharmacokinetic/pharmacodynamic (PK/PD) modeling, real-time dose adjustment, and precision medicine. Despite significant progress, data quality, interpretability, regulatory acceptance, and ethical considerations persist. Therefore, this review examines the …