Digital Commons Network^™

Negotiating With Gpt-4: Digital Doormat Or Skilful Counterpart?, Dorcas Quek Anderson

Research Collection Yong Pung How School Of Law

Large language models (LLMs) such as GPT-4 have been creatively harnessed in the conflict resolution arena as dialogue agents interacting with humans within negotiations, due to their capacity for in-context learning and giving human-like responses. In light of the burgeoning use of LLMs in conflict resolution training, a pilot study was conducted to ascertain the desirability of using dialogue agents built on GPT-4 in conducting simulations for students learning negotiation skills. This article discusses insights gained from the study on the reliability of LLM agents in following prompts for negotiation simulations; notable negotiation behaviour of the LLM agent; the degree …

Draft Final Bpsou Insufficiently Reclaimed Sites Josephine Shaft (Ir-37) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 158 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

The Operator Algebras Mentor Network: Impact Of Community-Based Mentoring, Anna Duwenig, Kari Eifler, Priyanga Ganesan, Lara Ismert, Viviana Meschitti, Sarah Plosker, Karen Strung

Journal of Humanistic Mathematics

The Operator Algebras Mentor Network (OAMN) is an international mentoring initiative that offers support in small groups to women and minority genders in the particularly male-dominated field of operator algebras (OA) in mathematics. Expected advantages of membership include raising awareness of the lack of gender diversity in this field, providing advice to mentees by mentors (e.g., pertaining to career or work/life balance), broadening one’s network in OA, etc. In this project, we set out to determine if membership within the OAMN is beneficial to its members. To this end we sent a questionnaire to OAMN members and a control group …

Engaging Mathematicians One Step At A Time: Math Trails, Mary L. Dalton, Jennifer Yantz

Journal of Humanistic Mathematics

Mathematics is present in everything we see and do. Sometimes we look past it, looking for some mathematical mystery when the beauty of mathematics is evident in the most obvious ways. One way to engage students to notice connections to mathematics in these everyday objects and events is to direct them in a guided math trail. A math trail is an activity where participants follow a map or guide to various locations while they are encouraged to take notice of connections to mathematical patterns and concepts in the objects around them. An important benefit is that going on a math …

Pilot Study: Initial Investigation Suggests Differences In Emt-Associated Gene Expression In Breast Tumor Regions, Kylie L. King, Hamed Abdollahi, Zoe Dinkel, Alannah Akins, Homayoun Valafar, Heather Dunn

Faculty Publications

Triple negative breast cancer (TNBC) is the most aggressive subtype and disproportionately affects African American women. The development of breast cancer is highly associated with interactions between tumor cells and the extracellular matrix (ECM), and recent research suggests that cellular components of the ECM vary between racial groups. This pilot study aimed to evaluate gene expression in TNBC samples from patients who identified as African American and Caucasian using traditional statistical methods and emerging Machine Learning (ML) approaches. ML enables the analysis of complex datasets and the extraction of useful information from small datasets. We selected four regions of interest …

Sustainability Transformation For Healthcare Facilities Following Net Zero Model, Esraa Elmitainy

Theses and Dissertations

The healthcare industry is a field undergoing huge development. Focused on SDG 3 “Good Health and Well-being”, the healthcare industry, as the main health service provider, was marked by experts as a sector that should lead sustainable development by example. The current work aims to formulate a sustainability rating system for new and existing healthcare facilities to encourage the Egyptian healthcare industry to move towards sustainability according to net zero concepts. Additionally, the transition to net zero waste is investigated though experimental work to test the possibility of utilizing sterilized medical waste in cement-based bricks.

The rating system starts with …

Comparing Two Psychometric Approaches: The Case Of Item Analysis For A Classroom Test In Mathematics, Mark Lester B. Garcia, Kevin Carl P. Santos, Catherine P. Vistro-Yu

Mathematics Faculty Publications

Multiple-choice and constructed-response item formats are widely used in Philippine classrooms where tests are primarily summative. Conducting item analysis provides teachers the professional possibility to independently improve their test items while also allowing them to make informed decisions about test improvement and ensure that their assessments provide meaningful scores. Comparisons of item analysis approaches have been extensively used in standardized tests but not so much in small-scale testing such as classroom assessments. Hence, this research reports an empirical study where a summative test for classroom use is analyzed using psychometric techniques from the Classical Test Theory (CTT) and the Item …

Heartdj - Music Recommendation And Generation Through Biofeedback From Heart Rate Variability, Egemen Şahin

Dartmouth College Master’s Theses

This study investigates the integration of real-time physiological data with AI-generated music to enhance emotional well-being, stress regulation, and focus, using Heart Rate Variability (HRV) as a biomarker of autonomic function. Conducted in two phases—Stable Audio Open (SAO) and Suno (SUNO)—the research evaluates biofeedback-driven music interventions across varying daily music-listening habits.

In the SAO phase, short AI-generated instrumental tracks were compared with Spotify recommendations and guided meditation. Modest HRV improvements were observed in biofeedback conditions, but participants noted emotional limitations, citing short track lengths and abrupt transitions.

The SUNO phase addressed these limitations with longer, more complex AI-generated compositions combined …

Final Removal Sign Off Individual Site Work Plans 2025 Round 2 Rmap Basement Projects Butte, Mt 59701 January 31, 2025, Butte-Silver Bow Department Of Reclamation And Environmental Services, Atlantic Richfield Company

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Groundwater Remedy Optimization Subdrain Pump Station Preliminary (30%) Remedial Design Package Submittal, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Elizabeth River Marine Debris Stakeholder Roundtable, Wie Yusuf, Joseph Barnes, Robin Dunbar, Jennifer L. Whytlaw, Tom Allen

School of Public Service Faculty Publications

Convened by Virginia Sea Grant, Old Dominion University, Clean Virginia Waterways (CVW), Virginia Coastal Zone Management Program (CZM), and the Virgina Marine Resources Commission. Supported by Sea Grant Marine Debris Community Action Coalition funding (for project titled From Learning to Willing to Doing: A Collaborative Approach to implementing the Virginia Marine Debris Reduction Plan.

Comparison Of Climate Change Awareness Among Coastal Communities In Northern And Southern East Java, Indonesia, Sukma Perdana Prasetya, Ketut Prasetyo, Warsono Warsono, Sarmini Sarmini, Muhammad Turhan Yani, Agus Suprijono, Sugeng Hariyanto, Nasution Nasution, Mohd Hairy Ibrahim

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

One of the important issues in the world today is climate change. Human activities and natural factors mainly cause these changes. The main factor that triggers this phenomenon is the need for more public knowledge in dealing with and anticipating the impacts of climate change. Therefore, this research analyzed the comparative knowledge and perceptions of coastal communities regarding climate change in East Java. Purposive sampling and snowball methods were used to select 110 respondents to complete the survey form. 50 respondents were taken from residents on the Sendang Biru coast, South Malang Regency, and 60 were taken from residents on …

Exhibit 2 “Basement Iswp” 1029 Oregon Ave. Butte, Mt 59701 January 30, 2025 Database Residential Identifier: R-03611, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Tidal Flood And Slow Onset Mobility In The Urban Community On The Northeast Coast Of Central Java, Indonesia, Haryani Saptaningtyas, Singgih Nugroho, Damar Waskitojati, Agung Waskito Adi, Cicilia Dwi Wuryaningsih, Ambar Istiyani, Louie Bacomo, Rowena Soreaga

SOSE Affiliate: Manila Observatory

This paper analyzed the various mobility patterns related to climate change in urban areas, focusing on the impacts of tidal floods and land subsidence in the coastal area of Central Java. The gradual changes in the coastal area are driven by climate change and development plans around the village, which have increased vulnerability. The community often experiences the impacts of rising sea levels and land surface subsidence, damaging the residential environment, public facilities, and hindering transportation and economic activities. This paper explores the experiences of different mobility types, including displacement, voluntary mobility, and immobility. A mixed-method approach was used, involving …

Ai-Integrated Cross-Disciplinary Liberal Arts Colloquium, Diana S. Perdue, Niloofar Gholamrezaei, Jennifer Krusinger, Shannon Hogan

Teaching Repository of AI-Infused Learning

What began organically as an AI-focused collaboration between faculty in different disciplines along with researchers in the college’s Center for Instructional Innovation, has evolved into college-wide pedagogical workshops and the development of a studio model that affects courses, programs, and paradigms for faculty scholarship.

Lessons from these collaborations inform understandings of how key features of liberal arts education can be supported through intentional AI-integration within a Cross-Disciplinary Liberal Arts Colloquium. More specifically, this colloquium offers recommendations on adapting a collaborative, interdisciplinary, and reflective studio model to in-person, online, and hybrid educational environments facilitated through a Technological Pedagogical Content Knowledge (TPACK) …

Uncovering Acoustic Biomarkers To Classify Parkinson Disease Through Machine Learning, Felix Yeboah

Data Science and Data Mining

The early detection of diseases profoundly influences treatment efficacy, and accurate classification methodologies are essential for effective disease identification. In this project, we examined fve different classifers—Logistic Regression, Gaussian Naive Bayes, K Nearest Neighbor (KNN), Extreme Gradient Boosting (XGBoost), and Support Vector Machines—and evaluated their performance in detecting Parkinson’s disease (PD) based on voice features. The study aims to identify the best classifier for detecting PD. XGBoost performed the best, with an accuracy of 91% on the full dataset. After variable selection, KNN had the best performance with an accuracy of 91%. These findings suggest that Machine learning algorithms(classifiers) can …

Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy, Jun Li, Wookjin Choi, Rani Anne

Department of Radiation Oncology Faculty Papers

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segmentation of the liver was tested in CT images of SIRT patients. DL auto-segmented liver contours were evaluated against physician manually-delineated contours. Dice similarity coefficient (DSC) and mean distance to agreement (MDA) were calculated. The DL-model-generated contours were compared with the contours generated using an Atlas-based method. Ratio of volume (RV, the ratio of DL-model auto-segmented liver volume to manually-delineated liver volume), and ratio of activity (RA, …

Nanostructured Graphitic Carbon Nitride For Photocatalytic And Electrochemical Applications, Muhammad Abdul Qadeer, Iqra Fareed, Asif Hussaine, Muhammad Asim Farid, Sadia Nazir, Faheem K. Butt, Ji-Jun Zou, Muhammad Tahir, Shang-Feng Du

Journal of Electrochemistry

Graphitic carbon nitride (g-C₃N₄) exhibits great mechanical as well as thermal characteristics, making it a valuable material for use in photoelectric conversion devices, an accelerator for synthesis of organic compounds, an electrolyte for fuel cell applications or power sources, and a hydrogen storage substance and a fluorescence detector. It is fabricated using different methods, and there is a variety of morphologies and nanostructures such as zero to three dimensions that have been designed for different purposes. There are many reports about g-C₃N₄ in recent years, but a comprehensive review which covers nanostructure dimensions …

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – December 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Challenges And Opportunities In The Dissemination Of Scientific Content: Insights From Media Professionals In Jordan, Ruba Mustafa Mohammad, Mahmoud Ahmad Al-Rajabi, Hala Nabil Amr

Middle East Journal of Communication Studies

This study explored the challenges and opportunities in disseminating scientific content from the perspective of media experts in Jordan. Using a descriptive methodology and a questionnaire, the research aimed to understand the landscape better. The sample included 343 media experts holding master's degrees or higher in various media fields, along with several journalists actively working in the sector. The study revealed several key findings. Chief among them are the numerous obstacles hindering the dissemination of scientific content in Jordanian media. These include a lack of training for journalists on accessing new scientific information, a general absence of critical thinking skills …

The Degree Of Dependence Of The Jordanian Public On Social Media In Health Awareness Of Obesity Diseases (Survey Study), Jumana Irshiedat, Kamel Khurshid Murad

Middle East Journal of Communication Studies

The article aimed to reveal the dependency of social media platforms in educating the Jordanian public about obesity diseases and explore the cognitive, emotional, and behavioral effects on the Jordanian public. The survey method was adopted; an approach used in descriptive studies, and the questionnaire tool was used to a sample (357) of the Jordanian public in Amman. The study-produced results including the platform most used by the Jordanian public to receive knowledge about health awareness is WhatsApp in the first place, followed by Instagram and then Facebook. The results also showed that the health topics of most interest to …

The Energy Transition In The Jordanian Media, Hanan Al-Shiekh

Middle East Journal of Communication Studies

The study aimed to clarify the role of scientific journalism towards stimulating investment in environmentally friendly renewable energy sources, which is one of the necessary challenges facing the Kingdom of Jordan for economic growth and social development, due to its heavy dependence on energy imports, which reflects negatively on the Jordanian economy. This study is one of the descriptive studies that focuses on describing a specific topic, as it is in the current reality, in terms of its general and detailed characteristics, including variables, elements, relationships, and influences, which are among the most prominent features of scientific journalism in terms …

The Role Of Television In Increasing Knowledge About Health Issues Among Jordanian Citizens, Izzat Mohammad Hijab, Ahmad Oreqat, Hani Al-Badri

Middle East Journal of Communication Studies

This study explores the role of TV health programs in increasing the knowledge of Jordanian citizens about health issues. The study was based on the social survey methodology through a questionnaire distributed to a sample of 200 people from the city of Amman watching Jordan Television (JTV) health programs. The researcher concluded the following; a high watching for health programs, and that the Jordanians watch health programs with their family at home. The study also confirmed that the Jordanian benefits from health programs provided by JTV, and these programs are important and essential in educating citizens in health issues. Finally, …

Module 1 Exam, Karon Klipple, Cheryl Hedden

Module 1 Assessments

Directions:

- Your exam must be completed by you and you alone.

- No resources - books, websites, people - can be used, except a calculator.

- You will have to sign a statement affirming that you followed these rules.

- Once you start the exam, you must finish it.

- The exam includes 11 questions.

- It will probably take you about an hour, but Canvas will allow you up to 4 hours to complete it.

- The exam is due NO LATER THAN Thursday February 15th at 12:45pm. NO LATE EXAMS WILL BE ACCEPTED. I encourage you to …

01.27.2025 Ored Connect, Liz Williamson

ORED Newsletter

Data Science for Addiction Research

UM research and related activities as a new presidential administration transition occurs

Butte Reclamation Evaluation System Corrective Action Plans For Reclaimed Sites 2024 Bres Site Specific Corrective Action Plans For Quadrant 1, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Reclamation Evaluation System Corrective Action Plans For Reclaimed Sites - 2024 Bres Site Specific Corrective Action Plans For Quadrant 1, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exploring School Teachers' Cyber Security Awareness, Experiences, And Practices In The Digital Age, R Ravichandran, Sonam Singh, P Sasikala

Journal of Cybersecurity Education, Research and Practice

This study investigates the awareness and practices of cyber security among school teachers, exploring their understanding of cyber threats, online behaviours, and response mechanisms to cyber incidents. A structured questionnaire was administered to gather data on demographic information, cyber security training, online practices, and experiences with cybercrime. The findings reveal varying levels of awareness among teachers, with many reporting limited knowledge of prevalent cyber threats such as phishing and identity theft. Despite the increasing reliance on digital tools for teaching, a significant number of respondents indicated a lack of formal training in cyber security. The study highlights the necessity for …