Digital Commons Network^™

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission With Inter-Group Structural And Behavioural Heterogeneous Syringe-Sharing Networks (M4), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model incorporates structural heterogeneity through a three-group interaction framework and behavioural heterogeneity through group-specific syringe-sharing rates. The syringe-sharing population in the model is divided into core, inner, and outer circle groups representing individuals with high, moderate, and low levels of syringe-sharing interaction intensity, respectively. In addition to differences in the number of daily interaction opportunities across groups, agents in each group are assigned distinct syringe-sharing probabilities, reflecting variation in risk-taking behaviour across structural groups within the syringe-sharing …

Using Large Language Models To Analyze Political Texts Through Natural Language Understanding, Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma

Research Collection School of Social Sciences

Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text-as-data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitative and quantitative approaches by using LLMs to interpret texts meaningfully rather than as mere data. Our ensemble means of LLM-generated estimates of party positions on six key issue dimensions correlate highly with equivalent mean ratings by country specialists. When …

In What Style Shall I Confront Them? The Role Of Social Relationships In Social Correction Of Misinformation Among The Uk And Arab Social Media Users, Muaadh Noman, Mohamed B. Almourad, Ala Yankouskaya, Firoj Alam, Raian Ali

All Works

This study investigates how social factors influence the likelihood of employing direct or indirect communication styles when correcting misinformation on social media in two different cultural contexts, the United Kingdom (UK) and the Arab Gulf Cooperation Council (GCC) countries. We conducted an online survey, supported by vignettes, that involved 686 participants, 367 from the UK and 319 from the Arab GCC countries. Participants were presented with a misinformation scenario and asked about their likelihood of using direct or indirect communication styles to correct their acquaintances. The survey captured variations in gender similarity (same vs. different gender), social status (lower vs. …

Weaponizing Nature, Naturalizing Violence: Anthropologies Of Ecofascism, Chloe Ahmann, Mona Bhan, Alexandra Coțofană, Radhika Govindrajan, Julia Leser, Zeynep Oguz, Yuka Suzuki, Noah Theriault

All Works

After decades of denial and obstruction, the global Right is increasingly willing to acknowledge that climate change is a threat to lives and lifeways everywhere. Moreover, some seize on the specter of ecological collapse to advance fascistic politics. Mass shootings by White men who propose that eliminating racialized people will ease environmental pressures—including in Christchurch and El Paso—have been the most spectacular manifestations of this shift. But close observers note kindred shifts at borders and in boardrooms all across this planet, as far-right groups work not merely to “save the earth” but to save it for specific people, and from …

Comprehensively Evaluating The Perception Systems Of Autonomous Vehicles Against Hazards, Xiaodong Zhang, Jie Bao, Jianlei Chi, Jun Sun, Zijiang Yang

Research Collection School Of Computing and Information Systems

Perception systems are vital for the safety of autonomous driving. In complex autonomous driving scenarios, autonomous vehicles must overcome various natural hazards, such as heavy rain or raindrops on the camera lens. Therefore, it is essential to conduct comprehensive testing of the perception systems in autonomous vehicles against these hazards, as demanded by the regulatory agencies of many countries for human drivers. Since there are many hazard scenarios, each of which has multiple configurable parameters, the challenges are (1) how do we systematically and adequately test an autonomous vehicle against these hazard scenarios, with measurable outcome; and (2) how do …

The Geometry Of Learning Under Ai Delegation, Lingxiao Huang, Nisheeth K. Vishnoi

Cowles Foundation Discussion Papers

As AI systems shift from tools to collaborators, a central question is how the skills of humans relying on them change over time. We study this question mathematically by modeling the joint evolution of human skill and AI delegation as a coupled dynamical system. In our model, delegation adapts to relative performance, while skill improves through use and decays under non-use; crucially, both updates arise from optimizing a single performance metric measuring expected task error. Despite this local alignment, adaptive AI use fundamentally alters the global stability structure of human skill acquisition. Beyond the high-skill equilibrium of human-only learning, the …

Exploring The Lived Experiences Of Black Women In Undergraduate Stem Core Expansion Pathways, Lizzie L. Evans Martinez Alvarez

Electronic Theses and Dissertations

The use of social incongruence in the film Hidden Figures, which juxtaposed with STEM education as the most powerful in contrast with Black women as the least powerful, supported the argument for the specific problem of practice to examine the unmet need for socially and ethnically diverse student populations in U.S. STEM higher education and careers. The purpose of this hermeneutic phenomenological research study was to identify and analyze the lived experiences of Black women regarding barriers they perceive in the STEM educational and career decision-making processes, while exploring transformational pathways to STEM academic success. The study specifically analyzed …

Beyond Artifacts And Fossils: Exploring The Contributions And Socioeconomic Impacts Of Montana’S Museums And Paleontological Tourism, Emma Keinath-Lopez, Elena Bigart, Glenna Hartman, Kara Grau, Ava Worbets, Melissa Weddell

Institute for Tourism and Recreation Research Publications

This study explores how Montana’s museums, including those along the Montana Dinosaur Trail, influence communities, economies, and visitor experiences in a post-pandemic environment. Through mixed methods—511 visitor surveys at 44 museums and 18 interviews with museum professionals— this research provides a holistic understanding of museum operations, visitor motivations, and community impacts.

Resting-State Eeg Spectral Activity In Children And Adolescents With Asd: Potential Correlations With Interoceptive Neocortical Areas, Stephanie J. Morris

Dissertations

Autism spectrum disorder (ASD) is a developmental condition marked by impairments in social interaction, communication, repetitive behaviors, and differences in cognitive and emotional functioning. These challenges can significantly affect daily living, relationships, and long-term independence, often requiring lifelong support. Emerging research suggests that deficits in interoceptive processing—the ability to perceive internal bodily states—may contribute to ASD symptoms and represent a potential target for intervention.

This study aims to compare resting-state EEG (QEEG) activity between children and adolescents with ASD and neurotypical (TD) peers, and to explore the relationship between interoceptive processing and ASD diagnosis. Archival QEEG data from individuals aged …

A Narrative Study On The Resilience Of Women In Technology Careers, Gina J. Baldridge

Electronic Theses and Dissertations

In spite of the promotion of science, technology, engineering, and mathematics (STEM) education and careers, there is a lack of women entering the STEM workforce and majoring in STEM subjects. Women can experience gender bias and workplace marginalization in STEM careers, but have learned coping strategies that have contributed to their technology career resilience. The purpose of this narrative qualitative study was to explore how women working as individual performers and leaders in technology companies told their career stories of resilience through the perspective of change acceptance, confidence, and communication, three factors in Kumar’s CR8 model of resilience. The model …

Interdependence And Portfolio Analysis Of Property Sector Real Estate Investment Trusts (Reits) In Malaysia During Covid-19, Muhammad Aqhari Azmi, Muhammad Zaim Razak

International Journal of Management, Finance and Accounting

This study examines the benefits of incorporating Malaysian Real Estate Investment Trusts (REITs) into a mixed-asset portfolio, with a focus on the periods preceding, during, and following the COVID-19 pandemic. The study utilises daily data from 1 January, 2018 to 21 October 2024, sourced from the Datastream database. By utilising the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model, the study examines the volatility of office property REITs and retail property REITs, as well as the linkages between these assets and stocks and bonds. The findings reveal that REITs exhibit unique volatility structures and correlations with other financial assets, which …

The Influence Of Digital Competencies On Employability: The Mediating Role Of Digital Empowerment And The Moderating Effect Of Socioeconomic Status, Fraz Arshed Butt, Abdelhak Senadjki, Hui Nee Au Yong

International Journal of Management, Finance and Accounting

The rapid growth of the digital economy has reshaped employment trends, demanding new digital skill sets to thrive in the modern digital economy. The current study examines the impacts of three essential factors of the digital economy, i.e., Digital Marketing Literacy (DML), Access to Digital Platforms (ADP), and Digital Literacy Awareness (DLA), on the employability outcomes in Malaysia. Based on a multi-theoretical framework, the study investigates the mediating role of Digital Empowerment (DE) and the moderating effect of Socioeconomic Status (SES) on employability in Malaysia. A quantitative study with a cross-sectional design was employed to collect data from 400 participants …

Exploring The Pathways Of Artificial Intelligence And Sustainable Development In The Era Of Industrial Revolutions: A Bibliometric Analysis And Future Research Agenda, Xu Bin, Teh Sin Yin, Sajal Saha

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existing research lacks a systematic and quantitative overview of how AI contributes to sustainability goals. This study addresses this gap by conducting a bibliometric analysis of 101 articles from the Web of Science Core Collection, using the keywords “sustainab*”, “artificial intelligence”, and “industrial revolution”. Analytical tools such as VOSviewer and Scimago Graphica were employed to generate keyword co-occurrence maps, publication trends, and research collaboration networks. The results show that scholarly interest in …

Sectoral Shockwaves: Examining Bursa Malaysia's Sector Indices Amid The Covid-19 Pandemic, Alyssa April Dellow, Hafizah Bahaludin

International Journal of Management, Finance and Accounting

The Coronavirus disease 2019 (COVID-19) outbreak is becoming a widespread concern, as it is causing a decline in economies and negatively impacting stock markets worldwide. As the Malaysian government implements the Movement Control Order (MCO) to curb the spread of the deadly virus, the Malaysian stock market is rapidly impacted, becoming volatile and unpredictable throughout the pandemic phase. Thus, this study aims to analyse the structural correlation patterns of the Bursa Malaysia Sectoral Index Series using the threshold network approach. The data utilised in this study are the closing prices of all 13 sectoral indexes, spanning from January 1, 2019, …

Low-Dose Prophylaxis Versus On-Demand Treatment For Children With Severe Hemophilia A In Indonesia: A Conceptual Model, Levina Chandra Khoe, Nur Atika, Dhia Ticha Pertiwi, Septiara Putri

Kesmas

Hemophilia A is a rare bleeding disorder caused by a deficiency of clotting factor VIII, leading to recurrent bleeds, joint damage, and disability. Low-dose prophylaxis has been shown to achieve better clinical outcomes than on-demand treatment in reducing bleeding frequency. However, in Indonesia, access and affordability remain key challenges. This study aimed to develop a conceptual model for conducting a health economic evaluation of low-dose prophylaxis treatment for children with severe hemophilia A in Indonesia. This study followed the ISPOR-SMDM Modeling guidelines, outlining two-stage processes: conceptualization of the clinical problem and model development. A systematic literature review was conducted to …

The Contribution Of Local Wisdom In The Nagasasra Textbook As Support For The Pancasila Student Profile Strengthening Project (P5), Nurhidayati Nurhidayati, Suwarna Suwarna, Sri Hertanti Wulan, Nujumun Niswah, Laura Zarbaliyeva

Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya

The Merdeka Curriculum places strong emphasis on students' character development, which is operationalized through the Pancasila Student Profile Strengthening Project (P5) comprising six core dimensions. As one of the primary curricular resources, textbooks are expected to reflect and mediate these character values in classroom learning. This study aims to examine the contribution of Javanese local wisdom represented in the Nagasasra textbook to supporting the implementation of P5. Employing a qualitative descriptive design, this research adopts a document-based analysis of the Nagasasra Javanese language textbooks for grades X, XI, and XII. Data were collected using a read-and-record technique and analyzed through …

A Conceptualization Of The Teaching Practice Of Building, Shari L. Stockero, Blake E. Peterson, Keith R. Leatham, Laura R. Van Zoest

Michigan Tech Publications

In this theoretical paper, we present a conceptualization of the teaching practice of building—a teaching practice that takes advantage of high-leverage student contributions we call Mathematical Opportunities in Student Thinking (MOSTs). Specifying this complex teaching practice is important because it provides the detail needed for mathematics education researchers to study the nuances of teachers’ in-the-moment use of student thinking and for mathematics teacher educators to support teachers in developing such use. We describe key aspects and teacher actions associated with the four elements of building: Establish, Grapple Toss, Conduct, and Make Explicit. Throughout the paper we compare and contrast this …

The Current - Volume 36 Issue 7, Nova Southeastern University

Student Newspapers

No abstract provided.

Creating An Identity: Analyzing The Journal Of Western Archives, J. Gordon Daines Iii, Ryan K. Lee, Cory L. Nimer

Journal of Western Archives

The Journal of Western Archives was created as a "manifestation of a Western regional identity for archivists" and to "foster the continuing development of a unique regional identity for archivists working and living in the American West by promoting an improved discourse about archival work and providing another venue for the socialization of new archivists." The journal was founded with the explicit purpose to "provide a venue where archivists working in the West can highlight their unique contributions to the archival profession." The Journal of Western Archives is now fifteen years old and has established itself as an important voice …

Mathematical Appendix To The Transformation Problem, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes.

• Shaikh, A. (n.d.). Marx’s theory of value transformation [Mathematical appendix, unpublished manuscript].

Math Appendix, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Shaikh, A. (n.d.). Mathematical appendix outlining use-value, value, direct prices, prices of production, and the iteration procedure [Unpublished manuscript]. Anwar Shaikh, PhD.

A Probabilistic Deep Learning Framework For Retrieving Chlorophyll-A From Hyperspectral Imagery: Integrating Channel Attention And Mixture Density Networks, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Junde Chen, Hesham Morgan, Michael J. Garay, Olga V. Kalashnikova, Shahryar Fazli, Charles Ichoku, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Accurate monitoring of Chlorophyll-a (Chla) is critical for assessing aquatic ecosystem health, yet ecological complexity often leads to ambiguous spectral signatures in satellite data. Traditional deterministic models assume a one-to-one mapping between spectra and pigments, often failing to capture these high-dimensional analytical challenges. In this study, we propose a novel deep learning architecture, the Channel Attention-Mixture Density Network (CA-MDN), to retrieve Chla from the National Aeronautics and Space Administration (NASA) Earth Surface Mineral Dust Source Investigation (EMIT) hyperspectral mission. The CA-MDN integrates an attention mechanism to dynamically select ecologically relevant spectral bands and employs a probabilistic output layer to quantify …

Relationship Between Vegetation Greenness (Ndvi) And Land Surface Temperature Across Land Cover Types In Ciwidey Sub-Watershed (1990–2020), Syal Syabila, Kuswantoro Marko, Revi Hernina

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Land cover change significantly influences vegetation greenness and land surface temperature (LST), particularly in upstream watershed regions experiencing rapid development. This study aims to analyze changes in vegetation greenness (NDVI), land surface temperature, and their relationship across different land cover types in the Ciwidey Sub-Watershed, Bandung Regency, during 1990–2020. Landsat 5 TM and Landsat 8 OLI images (Path/Row 122/65) acquired in July 1990, 2005, and 2020 were processed using radiometric correction, supervised classification (Maximum Likelihood), NDVI extraction, and mono-window LST algorithm. Land cover classification accuracy was assessed using confusion matrix analysis. Linear regression was applied to evaluate the relationship between …

Library Advisory Council 2024-2025 End Of Academic Year Report, Central Washington University

Library Advisory Council for CWU Libraries

Library Advisory Council

2024-2025

End of Academic Year Report

Table of Contents

Library Advisory Council, 2024-2025 Membership List

Meeting Dates

Attendance Records

LAC Purpose

Summary of LAC Activity

Recommendations for AY 2025-2026

AY 2024-2025 Meeting Agendas

Library Advisory Council Meeting Notes, December 2024

Library Advisory Council Meeting Notes, March 2025

Library Advisory Council Meeting Notes, June 2025

Practices, Experiences, And Insights From Major Developed Economies On Green And Low-Carbon Technology Innovation Policies, Baihe Gu, Hongqian Wang, Yuling Sun, Dan Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The transition toward green and low-carbon development has become a significant global trend for future growth. This study focuses on policy frameworks that support innovation in green and low-carbon technologies. It reviews the practices of major developed economies, such as the United States, the European Union, the United Kingdom, and Japan in this field, and synthesizes their experiences across key dimensions such as industrial policy, innovation actors, innovation ecosystems, funding mechanisms, and international cooperation. Drawing on these insights, and taking into account China’s unique advantages and challenges in green and low-carbon technological innovation, the paper offers policy recommendations aimed at …

Promoting Water Security Of South-To-North Water Diversion Project For National Water Network, Quanfa Zhang, Guihua Liu, Chesheng Zhan, Xiaobo Ren

Bulletin of Chinese Academy of Sciences (Chinese Version)

The South-to-North Water Diversion Project is a crucial infrastructure initiative aiming at optimizing nation-wide distribution of water resources, meanwhile fostering sustainable economic and social development, and ensuring the well-being of the people. The project, with its extensive scope and high technical complexity, particularly in the middle and west routes located in biodiversity hotspots such as the Qinling Mountains and the Qinghai-Xizang Plateau, may alter local microclimates, potentially triggering meteorological disasters such as droughts, thunderstorms, and hail, along with secondary hazards. The implementation of the project may also disrupt the local hydrological conditions, disturb the balance of the existing atmospheric-vegetation-soil system, …

Artificial Intelligence-Driven Materials Science: Evolution, Framework, Dilemmas, And Breakthroughs, Yanglili Zhou, Weihua Wang, Ziwei Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence-driven materials science (AIMS) represents a revolutionary and disruptive paradigm in materials research, promising to fundamentally break through the traditional bottlenecks of research cycles and efficiency. Historically, the evolution of materials science research paradigms from empirical trial and error, theoretical modeling, and computational simulation to the new data-driven stage has been driven by innovations in cognitive tools and methods. Currently, artificial intelligence, as a disruptive cognitive tool, is fundamentally reconstructing the core elements and interaction logic of materials science: the research process achieves intelligent iteration and full-process closed-loop; the capabilities of researchers are reshaped and teams are organized; and …

Study On Strategies And Measures And Insights For Introducing Artificial Intelligence Talents In Japan, Fangxin Hu, Ru Ma, Yujun Su

Bulletin of Chinese Academy of Sciences (Chinese Version)

In response to the aging population and the need for innovation in science and technology development, Japan regards AI as a key technology to solve social problems. In addition to accelerating the training of domestic AI talents, Japan is also vigorously introducing overseas AI talents. This study sorts out and analyzes Japan’s long-term, annual, and AI-specific strategic planning for the introduction of AI talents, including Basic Plan for Science, Technology and Innovation, Comprehensive Innovation Strategy, Strategic Plan for Artificial Intelligence Technology, and AI Strategy, and explores Japan’s specific implementation measures such as updating the national residence management system, improving the …

Gender Differences In College Students’ Physical Activity Self-Efficacy, Social Comparison Beliefs, And External Frames Of Reference, Ken Murfay, Sarah Pyszczynski, Sarah Collins

International Journal of Physical Activity and Health

This study examined whom college-aged individuals believe observing would more likely increase their physical activity self-efficacy (PASE) for a physical skill, whom they are more likely to compare their abilities to within a physical education (PE) class, how often they compare themselves to others in PE, and what students’ PASE scores were. Based on the mean scores for each question, students were more likely to compare themselves to a student than a teacher, friend than a non-friend, and similar or higher skilled peer than a lower skilled peer. To increase students’ confidence for a physical skill, students had higher levels …

Analytical Review Of Current Educational Public Policy For California Department Of Education Common Core Curriculum Guidelines Pertaining To Law-Related Education For Grades K–12, Aubray Mcpherson

Walden Dissertations and Doctoral Studies

The problem addressed in this study was the lack of a mandated statewide law-related education (LRE) requirement within the California K–12 curriculum. Existing research linked structured LRE exposure to greater civic knowledge, stronger legal understanding, increased social responsibility, and reduced delinquency risk among disadvantaged youth. However, a gap exists due to the absence of integrated qualitative analyses combining prior LRE research with stakeholder perceptions. The purpose of this qualitative study was to examine the potential social, emotional, and economic implications associated with implementing a statewide LRE public policy. Guided by the conceptual framework consisting of new public administration and the …