Digital Commons Network^™

Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

As malware continues to evolve and cyber attacks become increasingly prevalent, it is critical to develop effective malware classification techniques for the detection and prevention of such malicious attacks. In our research, we approach malware classification from a natural language processing perspective to explore how various tokenization techniques on malware opcode features can enhance classification accuracy and combat malware obfuscation and evolution techniques with a deep learning approach, previously unaddressed by existing research. We bridge this gap by conducting extensive hyperparameter tuning experiments that examine the effects of five common tokenization methods, that is, White Space Separation, Top Single Words, …

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – July 2025 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A New Efficient Method To Solve Bi-Objective Transportation Problems Under Fuzzy Parameters, Ramakant Sharma, Sohan Lal Tyagi

Baghdad Science Journal

The transportation problem (TP) is a classical optimization problem in operations research and logistics. Due to several factors, real-life situations may have inconsistent supply, demand, and unit transportation costs. The fuzzy numbers represent these inaccurate data. In the present scenario, the decision-maker handles several objectives simultaneously. This paper presents a simple method to solve linear Bi-Objective Transportation Problems (BOTP) using (η, ξ) interval-valued fuzzy numbers (IVFN), offering a more realistic way to model uncertainty than normal fuzzy numbers. Using the signed distance ranking, the Fuzzy BOTP was transformed into the equivalent crisp BOTP. In this paper, A method is developed …

Emerging Challenges In Adversarial Deep Learning For Computer Vision And Cybersecurity, Younis Al-Arbo, Asmaa Alqassab

Baghdad Science Journal

The emergence of "Deep Learning" DL has revolutionized the scope of cybersecurity and computer vision. However, this technology is not immune to emerging challenges that can affect its performance and security. One major challenge is the availability of large datasets for training DL algorithms. Furthermore, there is a need for improved algorithms and architectures that can effectively process such datasets. Another challenge is the constant evolution of cyber threats, which require the development of new DL models to defend against them. Additionally, the interpretability and explain ability of DL models in cybersecurity pose a significant challenge, as their black-box nature …

Should We Subtype Gastric Intestinal Metaplasia In Gastric Biopsies, A Single Institution's Experience, Haibo Wang, Yu Liu, Asra Feroze, Zengying Wu, Jonathan D. Somma, Zhiyan Fu

School of Medicine Faculty Publications

Gastric intestinal metaplasia (GIM) is considered a risk factor for gastric dysplasia and adenocarcinoma. While surveillance endoscopies are often performed, particularly for incomplete GIM, the clinical value of histologic subtyping (complete, incomplete, or mixed) remains unclear. This study evaluated the progression risk of different GIM subtypes diagnosed through random gastric biopsies and their association with various clinical factors. Archived pathology data from 206 gastric biopsy cases were analyzed, including 52 negative controls, 56 complete GIM, 54 incomplete GIM, and 44 mixed GIM. Histologic slides were reviewed for subtype confirmation and other pathological changes; clinical data were extracted from medical records. …

The Impact Of Monetary Trend On Prices And Nominal Income In The Uk During The Covid-19 Pandemic, Sebastian Meyer

Journal of New Finance

The essay addresses the Bank of England’s (BoE) key role in explaining the development of the UK economy during the Covid-19 pandemic. Focus will be provided on the impact of changes in money growth M4 and M4x on prices and nominal income, respectively. In so doing, the reader will be equipped with some theoretical basis from a neoclassical monetarist and Keynesian point of view to understand the importance of the BoE’s decisions in the explanation of inflation and household spending along the business cycle. The policy conclusions support classical economics with monetarism.

Spartan Daily, August 27, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 3

How Air Travel Became Safer Through Cashless Service, Alan Saquella

Publications

In an age where convenience, efficiency, and security reign supreme, air travel has adapted accordingly. One notable change: the elimination of cash payments on board for food, drinks, and other purchases. This shift away from bills and coins did not happen by accident, it reflected a deliberate focus on safety, security, and smoother operations.

2025-05-27 Executive Council Retreat Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

2025-07-29 Executive Council Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

2025-07-15 Executive Council Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

Epidemiology Of Shoulder Dislocations In The United States From 1990 To 2019: A Temporal Study Using The Global Burden Of Disease Database, Gabrielle Dykhouse, Ambrose Loc T. Ngo, Phillip C. Mckegg, Peter B. Spencer, Arsalaan Sayyed, Taylor J. Manes, Morgan Turnow, Nathaniel Long

Student Publications

Introduction

The shoulder joint is a common site for joint dislocation, with many individuals suffering from recurrent dislocations following treatment. The purpose of this study was to evaluate the epidemiology of shoulder dislocations in the United States from 1990 to 2019.

Methods

The Global Burden of Disease database was utilized to collect epidemiological data on shoulder dislocations in the United States (U.S.) from 1990 to 2019. These data included age-standardized rates of years lived with disability (YLDs), prevalence rates, and incidence rates per 100,000 people. Using the U.S. Census Bureau definitions, the data were stratified into four regions: the Northeast, …

Role Of Artificial Intelligence-Based Ocular Biomarkers In Hepatobiliary Diseases: A Scoping Review, Atul Arora, Nipun Verma

Faculty, Staff and Students Publications

Artificial intelligence (AI) has become an indispensable tool in modern health care, offering transformative potential across clinical workflows and diagnostic innovations. This review explores the sation of AI technologies in synthesizing and analyzing multimodal data to enhance efficiency and accuracy in health care delivery. Specifically, deep learning models have demonstrated remarkable capabilities in identifying seven categories of hepatobiliary disorders using ocular imaging datasets, including slit-lamp, retinal fundus, and optical coherence tomography images. Leveraging ResNet-101 neural networks, researchers have developed screening models and independent diagnostic tools, showcasing how AI can redefine diagnostic practices and improve accessibility, particularly in resource-limited settings. By …

Exploring Lingering Covid-19 Vaccine Hesitancy In Three Diverse U.S. States: Alabama, Illinois, And Texas, Olivia Dominguez, Pooja Gandhi, Francis Kazungu, Manorama Khare, Paula Cuccaro, Maria E Fernández, Ronald C Hershow, Sage Kim, Emily Stiehl

Faculty, Staff and Student Publications

During the COVID-19 pandemic, vaccine uptake was slower than expected, with some people experiencing concern about the safety and effectiveness of the COVID-19 vaccine even after being vaccinated. This manuscript explores a phenomenon called lingering hesitancy, or the concern that people experience even after receiving an initial dose of a vaccine. Leveraging survey findings from three individual Prevention Research Centers (PRCs) in Alabama, Illinois, and Texas, we compare the attitudes of individuals across three vaccine status groups: those who received their complete COVID-19 vaccine series, those who received an initial dose but no subsequent doses (lingering hesitancy), and those who …

Low-Level Pm2.5 Exposure And Mortality In The Medicare Cohort: The Role Of Native American Beneficiaries

Faculty, Staff and Student Publications

Fine particulate matter (PM2.5) has been associated with mortality at low concentrations, with higher per-unit risk at lower exposure levels, and no threshold of effect. We examined characteristics of Medicare decedents living in zip codes at the lowest end of the U.S. PM2.5 exposure distribution to determine whether there is a demographic, health or exposure profile of beneficiaries for whom even low PM2.5 exposure is associated with increased mortality. The study included 2,773,647 decedent cases and 27,736,470 non-decedent controls, matched on decile of long-term PM2.5 exposure from among 36 million Medicare fee-for-service beneficiaries enrolled 2015–2016. Outcomes of the study included …

Trends In Public Interest In Digital Musculoskeletal Care: A Google Trends Analysis Of Hinge Health From 2020 To 2025, Nikhil Maddina, Albert D. Mousad, Fawaz Ibikunle, Minna Hassaballa, Shantanu Amin, Nicole Yeroushalmi

Student Publications

Introduction

Hinge Health (Hinge Health, Inc., San Francisco, CA) and similar musculoskeletal (MSK) telehealth platforms have grown rapidly in recent years, offering a new avenue for accessible, at-home care. As digital health further integrates into routine clinical practice, understanding public interest in these services can provide insight into shifting care-seeking behaviors and potential disparities in healthcare access. This study aims to analyze Google Trends (Google LLC, Mountain View, CA) data to evaluate temporal and geographic patterns of public search interest in Hinge Health in the United States, comparing upper and lower extremity musculoskeletal injuries, with the hypothesis that interest has …

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

It Takes A Village: Addressing Community Needs To Implement Firearm Prohibitions For Domestic Violence Protective Order Respondents, Kellie R Lynch, Michael K Gusmano, Jeff R Temple, Sarah Lane

Faculty, Staff and Student Publications

Prohibiting domestic violence protective order (DVPO) respondents from firearms is an effective strategy to prevent intimate partner homicide. However, DVPO gun laws vary considerably across states, and the implementation of such laws is inconsistent across localities. Local context, such as resource availability, priorities, and politics, differs across types of communities and impacts the implementation of laws. We conducted in-depth key informant interviews with victim service and criminal justice professionals (N = 27) working in urban communities, rural communities, and statewide organizations to better understand: (a) what communities need to effectively prohibit DVPO respondents from firearms (i.e., the DVPO gun …

Midweek Memo, Georgia Southern University

Midweek Memo

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Explaining Time Series Classifiers Through Post-Hoc Xai Methods Capturing Temporal Dependencies, Ephrem Tibebe Mekonnen

Conference papers

Time series classification is essential in domains such as healthcare and finance, where accurate predictions can have significant real-world consequences. However, in many high-stakes applications, understanding why a model makes a certain decision is just as important as the prediction itself. While deep learning models excel at capturing complex temporal patterns, their black-box nature limits transparency, making it difficult to trust and interpret their decisions. Although eXplainable AI (XAI) methods have advanced considerably for image and tabular data, applying them to time series remains challenging due to the intricate temporal dependencies and high dimensionality of the data. Post-hoc model-agnostic XAI …

Preparing Educators To Meet The Unique Needs Of Multilingual Learners, Anna Adamo

Masters Projects

Effectively educating multilingual learners requires knowledge of culturally and linguistically responsive teaching, as well as an understanding of translanguaging techniques. Research shows that the population of multilingual learners continues to grow in the United States, however, qualified educators with knowledge of the specific needs of this population are lacking. This project explores the need for ongoing support for secondary novice and non-ESL certified educators who teach multilingual students. Included in this project is a complete full year of professional development sessions ranging from culturally and linguistically responsive teaching practices, guidelines for accommodations and modifications, opportunities for classroom observations, and technology …

Computational Fluid Dynamics (Cfd) Modeling For Bio-Inspired Aerodynamic Optimization In Autonomous Drones, Hyginus C.O. Unegbu, Danjuma Saleh Yawas

Makara Journal of Technology

This study explores the aerodynamic benefits of bio-inspired design modifications for autonomous drones using advanced Computational Fluid Dynamics (CFD) simulations. Four bio-inspired configurations—leading-edge serrations, winglets, riblet surfaces, and curved wings—were assessed and compared against a baseline drone model to evaluate their impact on aerodynamic performance. The results indicated that all bio-inspired designs significantly enhanced lift, reduced drag, and improved overall aerodynamic efficiency. The leading-edge serration configuration achieved the highest performance gains, with a 33.6% increase in maximum lift coefficient (CL) and a 29.5% improvement in lift-to-drag ratio (CL/CD), primarily due to delayed flow separation and reduced turbulence. Winglets minimized wingtip …

Entanglement-Assisted Metrology Under Spatiotemporally Correlated Quantum Noise, Francisco U. Riberi

Dartmouth College Ph.D Dissertations

Quantum sensors operating at the microscale are an emerging branch of quantum technologies where tangible experimental successes have already been reported. State-of-the-art atomic interferometers allow to measure and estimate a variety of physical parameters with unprecedented precision. In principle, exploiting the full power of quantum mechanics would lead to quantitatively better performance bounds over the best possible classical strategies under the same given set of resource constraints. However, the quantum systems' fragility to external disturbances has so far hindered most of these gains to be reached in practice, particularly in the limit of large probe number $N$. Parallel, {\em purely …

Accelerating The Fusion Workforce In The Usa, Carlos Paz-Soldan, Eva Belonohy, Troy Carter, Laleh E. Coté, Evdokiya Kostadinova, Calvin Lowe, Subash L. Sharma, Sybil De Clark, Jaydeep Deshpande, Kate Kelly, Bobbi Makani, David A. Schaffner, Kathreen E. Thome

Faculty Research, Scholarly, and Creative Activity

The fusion energy research and development landscape has seen significant advances in recent years, with important scientific and technological breakthroughs and a rapid rise of investment in the private sector. The workforce needs of the nascent fusion industry are growing at a rate that academic workforce development programs are not currently able to match. This paper presents the findings of the Workforce Accelerator for Fusion Energy Development Conference held in Hampton, Virginia, United States of America (USA), on 29-30 May 2024, which was funded by the National Science Foundation of the USA. A major goal of the conference was to …

Documents From The August 27, 2025 Meeting Of The Associated Students Of The University Of Montana (Asum), Kate Austin Payne, Associated Students Of The University Of Montana

Senate Meeting Agendas and Minutes, 2007-Present

Description: Agenda and meeting minutes from the August 27, 2025 meeting of the Associated Students of the University of Montana (ASUM).

The 9th Annual Lafora Science Symposium: A Rare Epilepsy Community Makes Progress Towards Clinical Readiness, Meredith I. Williams, Katherine J. Donahue, Pascual Sanz, Souad Messahel, Jose M. Serratosa, Jordi Duran, Roberto Michelucci, Lorenzo Muccioli, Antonio Delgado-Escueta, Viet-Hong Nguyen, Berge A. Minassian, Matthew S. Gentry

Pharmacy Faculty Articles and Research

Lafora disease (LD) is a fatal childhood progressive myoclonus epilepsy and glycogen storage disease that is caused by recessive mutations in either EPM2A or EPM2B. The hallmarks of LD are cytoplasmic, aberrant glycogen-like aggregates, called Lafora bodies (LBs), that drive disease progression. The 9th Annual Lafora Science Symposium was held in San Diego, California and brought together over 70 researchers, clinicians, academic trainees, and friends and family members of patients with LD and 80 attendees joined virtually. This symposium focused primarily on international collaborations for therapeutic development and biomarker identification and strategies for preparing the Lafora community for upcoming …

Optimizing Pharmacologic Treatment For Neonatal Opioid Withdrawal Syndrome (Optimize Now): A Symptom-Based Dosing Approach Study Protocol For A Multi-Center, Cluster Crossover Design Randomized Controlled Trial, Leslie W. Young, Denise C. Babineau, Abhik Das, Sara Demauro, Walter K. Kraft, Scott Lorch, Michele C. Walsh, Stephanie Merhar, Lori A. Devlin

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

BACKGROUND: Opioid use and misuse during pregnancy rose from 1.5 to 6.5 per 1000 deliveries between 1999 and 2014 and continues as a significant public health concern. A fivefold increase in neonatal opioid withdrawal syndrome (NOWS) has accompanied the increase in opioid use. The Eating, Sleeping, Consoling care approach (ESC) has been shown to improve outcomes for infants with NOWS and is quickly becoming the standard of care for infants affected by opioid use disorder. Quality improvement initiatives following the implementation of ESC provide some evidence to suggest that symptom-based (i.e., as needed, PRN, just in time) dosing of opioid …

Oct. 3, Get Jazzed For Endea Owens And The Cookout At The Uab Arts Block Party, Shannon Thomason

Browse All News

No abstract provided.

Conversations With The Ancestors: Pursuing An Understanding Of Klamath Basin Rock Art Through The Use Of Myth, The Ethnographic Record, And Local Artistic Conventions, Robert David

Anthropology Faculty Publications and Presentations

Past archaeological practices have resulted in a distorted history of Native American cultures based upon western-biased research. This has been especially apparent in the rock art of the Klamath Basin in southern Oregon and northern California. In response to this, Native and non-Native scholars are striving to develop a counter-discourse that both challenges and replaces western constructs in research on Native American communities. The result of this approach is a growing trend within the discipline that has come to be called “Indigenous Archaeology.” Critical to this approach is that Native voices are transported from the margins of the research to …

Lindenwood Men’S Rugby Sees Two Players Taken In Major League Rugby Draft, Truman Griessel

Lindenlink (2012- )

No abstract provided.