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The Bg News August 27, 2025, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. August 27, 2025. Volume 105-Issue 01.

Topological Indices And Quantitative Structure-Property Analysis Of Novel Drugs For Acute Lymphoblastic Leukemia Treatment, P. Nathiya, M. Suresh, Jalal Hatem Hussein Bayati

Baghdad Science Journal

Acute lymphoblastic leukemia in children is a bone marrow and blood cancer. Healthy blood cells begin to change and grow out of control when leukemia initially occurs. Acute lymphoblastic leukemia (ALL) is an immune system-related malignancy of the lymphocytes, a subtype of white blood cells. The most common form of cancer affecting children is ALL. In this work, the topological indices are derived from the structure of a chemical graph, and predict the physical, chemical, and biological characteristics of several anticancer drugs. ALL are usually treated with drugs such as methotrexate, 6-mercaptopurine (6-MP), vincristine, L-asparaginase, and/or prednisone, etc., which are …

Psacovid: Parallel Segmentation Architecture For Localization And Contagion Quantification Of Covid-19 Pneumonia In Chest Computed Tomography Imaging, Payman Hussein Hussan, Israa Hadi Ali

Baghdad Science Journal

Early and precise detection of Coronavirus related anomalies in lung computed tomography scans is necessary for implementing preventive measures and initiating proper treatment. However, the procedure of visually examining lung computed tomography (CT) images is demanding particularly when it comes to detecting tiny anomalies. This work intends to use artificial intelligence (AI) to help radiologists improve their illness diagnostic efficacy in reading computed tomography images by localizing, detecting, and quantifying COVID-19 pulmonary lesion severity to predict patient outcomes. A public dataset has been acquired from 20 Corona patients, which includes manually annotated lung and infection masks, to train a parallel …

A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea

Baghdad Science Journal

Multitudes of Unmanned Aerial Vehicles (UAVs) are generally embraced in military and civilian applications. Yet, this physical-cyber method is intimidated by cyber-attacks. Recently, Machine Learning (ML) based attacks detection approaches have been effectively embraced to detect cyber-attacks. This paper presented the Intrusion Detection Security (IDS) approach. The proposed approach investigates UAVs' cyber and physical attributes under normal process and attack circumstances. Two types of cyber-attacks have been classified: Denial-of-service (DoS) and replay. This study developed IDS approaches established on ML and Deep Learning (DL) prototypes, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), and One Dimensional Convolutional …

Commonwealth Times 2025-08-27

Commonwealth Times, 1969-

No abstract provided.

Poster: Development Of Situation Awareness Measurement For Cybersecurity Professionals, David Schuster, Crystal Fausett, Maiyi Huang, Sabina M. Patel, Jenna Korentsides, Joseph R. Keebler, Elizabeth H. Lazzara

Faculty Research, Scholarly, and Creative Activity

Better understanding of the implications of many aspects of human behavior, especially that of cybersecurity professionals, can help develop the cybersecurity workforce. Despite efforts aimed at documenting and understanding cybersecurity professionals' knowledge, understanding of how cognition supports human performance in specific cybersecurity tasks remains limited. Specifically, understanding of the elements of situation awareness (SA), defined as goal-directed knowledge, is necessary to support human-centered evaluation, selection, training, and recruitment strategies. In this poster, we propose a framework for developing measures of situation awareness for cybersecurity professionals and a method of capturing initial effectiveness data that does not rely on access to …

An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock

Cornhusker Economics

Using a novel dataset that includes within field variation in productivity, we find that partial field retirement for a prairie strip can not only provide conservation benefits, but can also be economically beneficial. We note that these results are for a single field with one year of data, and that additional years of production and fields are essential to determine how much these results can be generalized. We also note that precision systems can be costly, and a comparison of outcomes with and without this information is essential to determine if investing in such systems is profitable. However, variable rate …

Fsec Meeting Minutes August 27, 2025, University Of Rhode Island Faculty Senate

Faculty Senate Executive Committee Minutes

No abstract provided.

Concussions 101, Bob Underwood, Greg Canty

Pediatrics in Practice: A CME Podcast

In this episode, we’re joined by Dr. Greg Canty, Medical Director of the Sports Medicine Center at Children’s Mercy in Kansas City, to explore the latest in pediatric concussion care. From updated return-to-play protocols to the evolving science of rest and recovery, Dr. Canty shares practical insights every pediatrician can use. We’ll also discuss risk factors for prolonged recovery, the role of schools in concussion management, and how pediatricians can stay current in this rapidly changing field.

Click here to stream the podcast episode.

Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer

Theses

This thesis investigates the enhancement of the Network Readiness Index (NRI) through the application of machine learning methodologies to refine indicator weighting, clustering, and dimensionality. The study builds on research promoting data-driven methods to address the limitations of equal-weighted indices in capturing indicator importance and interdependence. The research aims to evaluate how unsupervised and supervised learning methods can optimize the interpretation of NRI data. The study focuses on three primary research questions: (1) How can PCA be used to reduce the dimensionality of the NRI without significant loss of information? (2) Can k-means clustering reveal meaningful groups of countries with …

External Validation Of Calculator For Cesarean Delivery During Induction Of Labor, Claudia J. Ibarra, Rachel L. Wiley, Han-Yang Chen, Estefania Guthrie, Ipsita Ghose, Hector Mendez-Figueroa, Suneet P. Chauhan

School of Medicine Faculty Publications

OBJECTIVE: To validate a published risk calculator to predict cesarean delivery (CD) among singletons undergoing induction of labor. METHODS: Our retrospective cohort study included singletons undergoing induction of labor. A predicted CD score was calculated for each individual based on a previously developed calculator. External validation of the calculator was assessed by the discriminative power of the model by using the area under the receiver operating characteristic curve, and by a calibration curve. The score was categorized as less than 10%, 10% to less than 30%, and 30% or greater. The primary outcome was CD. The secondary outcomes were a …

Blackbird's Missouri River: The Pinnacle Of Omaha Diplomacy, 1790-1801, Brent Michael Wojcik

History Theses, Dissertations, and Student Creative Activity

This thesis will examine the history of Umóⁿhoⁿ (Omaha) diplomacy with a special emphasis on the era from 1790 to 1801, which is a significant period in Umóⁿhoⁿ diplomacy. Wazhiⁿ'gaçabe (Blackbird) was a influential diplomatic figure on the Great Plains. The Umóⁿhoⁿ and Wazhiⁿ'gaçabe created an era of prosperity from 1790 to 1801. The diplomatic connections at Wazhiⁿ'gaçabe disposal are unrivaled by his contemporary Indigenous leaders. This thesis will lay out evidence that supports Wazhiⁿ'gaçabe as one of the greatest negotiators and diplomats of the time. Multiple primary sources that had direct connections to Wazhiⁿ'gaçabe will be examined. The primary …

Trigonometry: A Brief Conversation, Carolyn D. King Phd, Evelyn Tam, Fei Ye Phd, Beata Carvajal

Open Educational Resources

These five units are specifically tailored to foster the mastery of a few selected trigonometry topics that comprise the one credit MA-121 Elementary Trigonometry course.  Each unit introduces the topic, provides space for practice, but more importantly, provides opportunities for students to reflect on the work in order to deepen their conceptual understanding.

These units have also been assigned to students of other courses such as pre-calculus and calculus as a review of trigonometric basics essential to those courses.  This is the third edition of the materials.  Based on suggestions from instructors Units 2 and 3 have been edited to …

The Role Of Digital Gaming In Addressing Loneliness Among Older Adults: A Scoping Review, Eunie Jung, Jiadong Yu

Pacific Faculty Work

As the world’s population of older adults continues to grow rapidly, combating loneliness and social isolation has become an emerging health concern for this group. Though there has been increasing interest within the scientific community in exploring digital games as an intervention for loneliness, research on gaming as an intervention is a relatively new field of study. This scoping review examines the current state of research on the impact of digital gaming on loneliness in the older adult population and was conducted in accordance with the 2018 Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) …

Assessing Solar Radiation Patterns In Sarawak Using Measured Data And The Hargreaves-Samani Model For Photovoltaic Systems Application, Chun Yong Soo, Xian Hwa Chan, Wan Mohamad Husni Wan Mokhtar, Ahmad Rujhan Mohd Rais

Makara Journal of Technology

This study evaluates the Hargreaves-Samani model for estimating solar radiation in five locations in Sarawak: Bintulu, Kapit, Sri Aman, Kuching, and Miri (Subis), using minimum and maximum temperatures as key inputs. Analysis reveals stable minimum temperatures (19.7 °C to 28.8 °C), supporting consistent solar radiation patterns favorable for Photovoltaic (PV) performance. Miri (Subis) recorded the highest daily maximum temperature of 44.8 °C, while Kuching had the lowest at 24.7 °C, highlighting significant regional climatic variability. Analysis also indicates strong solar potential in Bintulu, Kapit, Sri Aman, Kuching, and Miri, with radiation peaking at 7.5 kWh/m², though seasonal variations impact PV …

Direct Control Strategy Using Polynomial Fuzzy-Based Adaptive Fractional Order Pid Controller, Ali Rospawan, Clara Lavita Angelina, Faisal Samsuri, Muhammad Yeza Baihaqi, Edmun Halawa, Muhammad Munajat, Vincent Vincent, Surawan Setiyadi, Irwan Purnama, Joni Welman Simatupang

Makara Journal of Technology

This paper presents a novel direct control strategy using a polynomial fuzzy neural network-based adaptive fractional order proportional integral derivative (PFNN-AFOPID) controller for nonlinear and time-varying systems. The proposed approach integrates the enhanced flexibility of fractional order calculus PID with the superior nonlinear approximation capabilities of polynomial fuzzy models, enabling dynamic adjustment of all control parameters without requiring precise mathematical modeling of system dynamics. By extending traditional PID control with fractional-order operations, the controller achieves improved frequency response and robustness against disturbances. Experimental validation on a DC motor position control system demonstrates significant performance improvements. Compared to traditional PID, the …

Employment Status And Evaluation Of Government Performance In Covid-19 Containment : Evidence From China, Jinye Chen

Lingnan Theses (MPhil & PhD)

Evaluation of government performance of citizens is crucial for regime stability as it could help authoritarian regimes to identify and address brewing problems before they fuel public discontent. It can also act as a potential mechanism for improving government performance and public services and establishing a good image of government. Following the outbreak of the Covid-19 pandemic, Chinese government has adopted the zero-COVID policy to keep cases as close to zero as possible until December 2022. China’s job market also faced big pressure from the economic downturn caused by the Covid-19 pandemic. The pandemic is a shock that impact the …

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.

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 …

Low-Level Pm2.5 Exposure And Mortality In The Medicare Cohort: The Role Of Native American Beneficiaries, Judy Wendt Hess, Wenyaw Chan

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 …

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, …

The Relationship Of Organizational Health Safety Efforts Specific To Covid-19 And Perceived Organizational Support On Affective Organizational Commitment, Suzzee Meusel

Walden Dissertations and Doctoral Studies

When health safety efforts for COVID-19 are perceived negatively, the implementation of health safety efforts by employers may not be effective and are therefore likely to fail in protecting employee health, such as in the agriculture industry. Guided by social exchange theory, organizational support theory, and the theory of organizational commitment, this quantitative correlational study involved examining relationships between organizational health safety efforts specific to COVID-19 (OHSE-C19), perceived organizational support (POS), and affective organizational commitment (AOC) among poultry hatchery employees. The study entailed analyzing survey and opinion poll data from 90 participants from two poultry hatcheries in Iowa and Pennsylvania, …

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.

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 …

2025-07-15 Executive Council Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

Educator, Community And Student Reflections On Community-Engaged Research And Learning For Mathematics, Gareth A. Tribello, Jason Donaghy, Jyoutir Raj, Joshua Cunningham, Daniel Pyper, David Heaney, Kai Q. Lian, Sarah Conway, Judy Williams, Emma Mckenna

Irish Journal of Academic Practice

Community-engaged research and learning (CERL) is a constructivist pedagogy that involves students working on projects in collaboration with community partners. This approach was introduced to universities in the late 1960s, and although some disciplines have wholeheartedly embraced it, it is still rarely used in mathematics. This paper consists of a series of reflections written by educators, students, community partners and university leaders about a module in a mathematics degree that includes an element of CERL. These reflections demonstrate that community partners find value in the work done by mathematics students and that university leaders are broadly supportive of efforts to …

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).