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Full-Text Articles in Physical Sciences and Mathematics

A Virtual-Reality-Based Dental Simulator For Endodontics With Automated Formative Feedback, Yousef Salah Abo El Ela Jan 2026

A Virtual-Reality-Based Dental Simulator For Endodontics With Automated Formative Feedback, Yousef Salah Abo El Ela

Theses and Dissertations

Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much …


Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil Jan 2026

Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil

USF Tampa Graduate Theses and Dissertations

Organizations struggle with data quality problems that cost them millions of dollars annually. Manual data cleanup and standardizing, also known as reconciliation, can take skilled analysts days to complete and can still contain human errors. This dissertation addresses this challenge by developing and validating the Origin Data Management System, which automates processes that traditionally require days of manual work. The system achieved up to 100% accuracy in standardizing vendor names and identifying CEO information across real-world test datasets from Jefferson County Public Schools, Forbes, and Fortune Magazines. Processing time dropped from days to minutes—a 96-fold improvement over manual methods. These …


Land Use And Sovereignty Along The Catawba River, Thomas C. Brugh, Lucile C. Rencher Jan 2026

Land Use And Sovereignty Along The Catawba River, Thomas C. Brugh, Lucile C. Rencher

Student Scholarship

This document-based case study explains how land-use change along the Catawba River Corridor (Lancaster and York Counties, South Carolina) has been produced through the interaction of property rights (dominium) and rule-setting authority (imperium), showing why sovereignty continues to shape development even after land disputes appear “settled.” Through analyzing legal records (Treaty of Nation Ford, the 1959 Catawba Division of Assets Act, the 1986 Supreme Court timing decision, and the 1993 Settlement Act), planning documents, parcel records, and field observations, we trace how shifting jurisdiction and title certainty structured what kinds of land uses were possible and when. We argue that …


Case Studies To Examine Farmer Perceptions And Implementations Of Buffer Capacity In Southeastern Ontario, Bryan Collins Jan 2026

Case Studies To Examine Farmer Perceptions And Implementations Of Buffer Capacity In Southeastern Ontario, Bryan Collins

Journal of Applied Farm Economics

Buffer capacity measures the ability of a system to maintain its original function when confronted with outside stresses and is often considered to be a key component of resilience. Farmers in southeastern Ontario are facing several threats such as seasonal drought and volatile markets, prompting necessary responses on how to effectively manage their farms. This research study used an exploratory grounded theory approach to inquire how farmers seek to enhance buffer capacity on their farm by asking (1) what short-term threats their farm faces and (2) what strategies they are employing to navigate those threats. Ten farms in the Inverary …


Does Sequence Matter? Impact Of Redesigning Sequential Calculus Course On Students’ Learning Outcomes, Chantal Levesque-Bristol Dr., Wonki Lee Dr., Emily M. Bonem, Benjamin C. Wiles, Jennifer D. Moss, Wilella D. Burgess, Weiling Li Jan 2026

Does Sequence Matter? Impact Of Redesigning Sequential Calculus Course On Students’ Learning Outcomes, Chantal Levesque-Bristol Dr., Wonki Lee Dr., Emily M. Bonem, Benjamin C. Wiles, Jennifer D. Moss, Wilella D. Burgess, Weiling Li

International Journal of Teaching and Learning in Higher Education

As colleges and universities increasingly transform their STEM courses through the adoption of more active, student-centered pedagogies, there is a growing need to understand the impact of these educational innovations on student outcomes. This study is conducted in the context of a university-wide faculty development and course redesign project, IMPACT (Instruction Matters, Purdue Academic Course Transformation). IMPACT supports faculty in implementing student-centered pedagogical practices and creating equitable and inclusive learning environments. This study focuses on a sequence of two introductory calculus courses (Calculus 1 and Calculus 2, hereafter CALC 1 and CALC 2) that were transformed as part of the …


Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo Jan 2026

Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the advancement of the global energy transition and the intensification of global geopolitical uncertainties, technological competition in the energy sector has become a key area in the great power competition. This study constructs a logical framework for energy technology competition and reveals the new trends in current technological competition in the energy sector. On this basis, this study systematically analyzes the three main types of risks that China faces in energy technology competition and further proposes corresponding countermeasures. China must continuously enhance the core competitiveness and institutional voice over energy technology to achieve the strategic goals of energy security …


Research On Energy Security Governance And Preventive Measures In China Under Century Long Changes, Qiang Ji, Ying Fan, Yu Song Jan 2026

Research On Energy Security Governance And Preventive Measures In China Under Century Long Changes, Qiang Ji, Ying Fan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, multidimensional internal and external risks are intertwined and stacked, and energy security is constantly developing towards diversification, integration, and globalization. Balancing energy security and climate governance under the “dual carbon” goal is bound to encounter many major challenges, and climate issues have become an important part of the energy security concept that cannot be ignored. This study comprehensively analyzes the internal and external multidimensional risks faced by China’s energy security, and elaborates on the new energy security governance system of “one body, two wings, three ends, and four characteristics” from the …


Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan Jan 2026

Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, intensified geopolitical conflicts worldwide have increasingly exposed the vulnerabilities of traditional energy security frameworks, necessitating a shift in perspective from “ensuring stable supply” to “building systemic resilience”. This study explores pathways to enhance China’s energy resilience, analyzes how diversification and localization strategies can strengthen national energy security, and reviews related policy practices. Building on this analysis and considering China’s current energy landscape, the study proposes that in the short term, emphasis should be placed on diversifying import sources and routes while strengthening domestic supply assurance. In the medium to long term, it is essential to accelerate the …


Thoughts On Accelerating The Capture Of Technological High Ground For Precise Marine Environmental Assurance, Yuantao Wu, Mingyue Wan, Deke Chen, Danhong Dong, Yao Yu, Miao Chen Jan 2026

Thoughts On Accelerating The Capture Of Technological High Ground For Precise Marine Environmental Assurance, Yuantao Wu, Mingyue Wan, Deke Chen, Danhong Dong, Yao Yu, Miao Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The marine environment serves as a critical foundation for the development, utilization, protection, and governance of the ocean. Marine environmental support holds significant strategic importance for the exploitation of marine resources, ecological and environmental conservation, and the safeguarding of maritime rights and interests. It has become a strategic high ground in the new wave of marine technological innovation and development. This paper reviews the current status of global marine environmental support technologies, with a focus on the establishment and capabilities of the comprehensive “observation–forecasting–application–assessment” precision support technology system for the marine environment developed by the Chinese Academy of Sciences. It …


Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin Jan 2026

Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean circulation exhibits complex multiscale dynamics, among which non-equilibrium processes, marked by transient behavior, strong perturbations, and pronounced nonlinearity, are of particular importance for maritime environmental support. However, limited observational capability has long constrained the study of subsurface non-equilibrium dynamics, leaving numerical models insufficiently validated and positioning this issue at the forefront of modern physical oceanography. Artificial intelligence (AI) offers a promising pathway to overcome this bottleneck. Built on this concept, the “iEddy” AI large ocean model can efficiently reconstruct high-resolution, high-accuracy three-dimensional temperature, salinity, and velocity from sea-surface remote sensing data, demonstrating strong capability in capturing non-equilibrium ocean currents …


Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang Jan 2026

Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean data reanalysis (ODR) is a technique that combines ocean observational data with ocean circulation models to produce gridded data with higher accuracy and greater spatiotemporal coverage. The generated reanalysis data serve as a foundational dataset for conducting oceanographic research and developing artificial intelligence-based large ocean models. This study reviews the technical approaches of ODR, the current status of global and regional ocean data reanalysis systems developed in the world, and puts forward recommendations for the development of China's ocean reanalysis system.


Transparent West-Pacific: Frontier Advances In Earth System Science, Lixin Wu, Jiwei Tian, Weidong Sun, Hailong Liu, Tianyu Chen, Zhimian Cao, Zhao Jing Jan 2026

Transparent West-Pacific: Frontier Advances In Earth System Science, Lixin Wu, Jiwei Tian, Weidong Sun, Hailong Liu, Tianyu Chen, Zhimian Cao, Zhao Jing

Bulletin of Chinese Academy of Sciences (Chinese Version)

The West-Pacific hosts a well-developed trench-arc-basin system characterized by intense fluid–solid interactions, making it an ideal region for studying multi-sphere interactions within the Earth system. Research on cross-sphere dynamic processes and material-energy cycles in the West-Pacific not only represents a core frontier in Earth System Science, but also crucial to addressing major strategic needs, such as global climate change response, sustainable use of marine resources, and protection of the deep-sea environment. This article highlights key advances achieved under the Major Program on West-Pacific Earth System Multispheric Interactions (WESPMI), in areas including multi-scale oceanic interactions, cross-sphere material exchange, plate subduction and …


Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo Jan 2026

Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the rapid emergence of research intelligence driven by big data and artificial intelligence (AI), high-quality, openly shared scientific databases have become a strategic focal point for scientific innovation and enhancing technological competitiveness. Major countries around the world are increasingly recognizing the foundational role of scientific databases in advancing basic research. While continuously strengthening their own scientific data infrastructure through a series of initiatives, they have simultaneously imposed restrictions and suppression on the development of AI technologies in China, including those involving research data. Against this backdrop, building an autonomous and controllable scientific data ecosystem to support research intelligence is …


Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang Jan 2026

Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Crude oil, often referred to as the “lifeblood” of the modern economy, plays a pivotal role in global economic stability and energy security. However, with the recurrence of crises in recent years, such as the the Russia-Ukraine conflict, escalating tensions in the Middle East, and intensifying trade frictions, the international crude oil market has been facing complex systemic risks, which are accelerated by persistent geopolitical conflicts, fragile supply-demand structures, and the intertwining of macroeconomic and financial uncertainties and so on. For China, with crude oil import dependence remaining above 70% for a prolonged period, economic and social development faces the …


Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li Jan 2026

Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Shallow bathymetry data constitute the core foundational information underpinning the ecological, resource, and strategic values of island and coastal zones. Satellite-derived bathymetry has evolved into a key technical means for large-scale acquisition of shallow bathymetry information. Focusing on satellite-based lidar bathymetry, optical imaging bathymetry, and synthetic aperture radar (SAR) bathymetry, this study systematically summarizes the core principles, applicable scenarios, technical strengths, and inherent limitations of each technology. It is shown that satellite-derived bathymetry has undergone an evolutionary shift from theoretical construction to practical application, and from single-method, single-data-source approaches to multi-technology, multi-source data fusion frameworks. In the future, to meet …


Internal Logic And Reform Suggestions Of Fiscal And Taxation Policies Supporting Construction Of New Energy System, Junming Zhu, Bofeng Li, Jiali Wang Jan 2026

Internal Logic And Reform Suggestions Of Fiscal And Taxation Policies Supporting Construction Of New Energy System, Junming Zhu, Bofeng Li, Jiali Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Building a clean, low-carbon, safe and efficient new energy system is a core strategy for China to achieve its “dual carbon” goals and promote high-quality development. This endeavor involves not only technological innovation in energy production and consumption but also requires guidance and support from the national governance system. As a key instrument of modern national governance, the fiscal and taxation policies serve as a crucial way to guide energy production and consumption, promote technological innovation, and adjust the distribution of interests. In light of the current multidimensional goals of energy transition—particularly the inherent tension between “clean and low-carbon” and …


Market-Oriented Reform In China’S Oil And Gas Industry: Current Dynamics And Strategic Pathways, Min Shi, Yuan Xue, Xunpeng Shi, Dayong Zhang Jan 2026

Market-Oriented Reform In China’S Oil And Gas Industry: Current Dynamics And Strategic Pathways, Min Shi, Yuan Xue, Xunpeng Shi, Dayong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China’s oil and gas market-oriented reform, developed through decades of exploration, has established a structure featuring multi-entity exploration in the upstream, independent operation of the national pipeline network in the midstream, and diversified competition in the downstream. Nevertheless, systemic challenges persist. A highly concentrated supply structure poses risks to energy security, while inadequate competition and limited market openness constrain operational efficiency. The green transition is hampered by insufficient policy coordination and economic viability barriers, and R&D transformation bottlenecks impede technological innovation. Furthermore, regional disparities in public service provision undermine social equity. Resolving these contradictions necessitates a systematic approach to reconfigure …


Development Trends And Implications Of Muti-Objective Marine Environmental Forecasting Technology, Yineng Li, Yuhang Zhu, Shiqiu Peng, Zhiwu Chen, Xing Wei, Junmin Li, Shaodian Li, Peiwei Xie, Jiawen Liao, Yankun Gong, Shilin Tang, Shuqun Cai Jan 2026

Development Trends And Implications Of Muti-Objective Marine Environmental Forecasting Technology, Yineng Li, Yuhang Zhu, Shiqiu Peng, Zhiwu Chen, Xing Wei, Junmin Li, Shaodian Li, Peiwei Xie, Jiawen Liao, Yankun Gong, Shilin Tang, Shuqun Cai

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the continuous expansion of global maritime activities and the steady advancement of the “maritime power” strategy, marine environmental security has become a top priority for China. In deep-sea areas, various environmental parameters such as temperature, salinity, sound velocity, wave dynamics, internal solitary waves, and nearshore rip currents play a crucial role in navigation safety and underwater equipment operations. Nevertheless, traditional single-parameter forecasting models are no longer sufficient to meet the demands of multi-objective environmental protection. As a result, there is a growing need for a high-resolution, multi-objective forecasting system that integrates basic oceanographic element predictions (such as temperature, salinity, …


Innovative Applications And Development Paths Of Digital Earth Technology In Marine Environmental Support, Junyi Liu, Xiongfei Liu, Zongji Wang, Zhihong Zeng, Huiping Xie, Siye Liu Jan 2026

Innovative Applications And Development Paths Of Digital Earth Technology In Marine Environmental Support, Junyi Liu, Xiongfei Liu, Zongji Wang, Zhihong Zeng, Huiping Xie, Siye Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The convergence of Digital Earth technologies and the field of marine environmental support represent a significant trend in global scientific and technological advancement. In response to the characteristics of marine environmental data such as sparsity, dynamic complexity, and multi-scale interdependence, and by integrating the evolution of international Digital Earth technology with China’s independent innovation practices, this study constructs three core methodological paradigms. The first is the element-integrated ontology, which proposes a hybrid representation paradigm of “spatiotemporal embedded field + ontology” to achieve integrated and dynamically evolving modeling of marine physical environments alongside geological, biological, chemical, and other multidimensional elements. The …


Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu Jan 2026

Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Data altruism transcends the profit-seeking, monopolistic and competitive nature of the market mechanism. It is driven by innovation and encourages data subjects and holders to share information guided by the public interest. As a new type of data application and service model, it aims to achieve a virtuous cycle of the data ecosystem while optimize the utilization of data resources. Tracing back to the source, the theoretical foundation of data altruism from the ethical theory of altruism, and the concept of its budding was supported by the data for good. Analysis shows that the specific scheme of the EU data …


A Robust Deep Learning Ensemble Framework For Waterbody Detection Using High-Resolution X-Band Sar Under Data-Constrained Conditions, Soyeon Choi, Seung Hee Kim, Son V. Nghiem, Menas Kafatos, Minha Choi, Jinsoo Kim, Yangwon Lee Jan 2026

A Robust Deep Learning Ensemble Framework For Waterbody Detection Using High-Resolution X-Band Sar Under Data-Constrained Conditions, Soyeon Choi, Seung Hee Kim, Son V. Nghiem, Menas Kafatos, Minha Choi, Jinsoo Kim, Yangwon Lee

Institute for ECHO Articles and Research

Accurate delineation of inland waterbodies is critical for applications such as hydrological monitoring, disaster response preparedness and response, and environmental management. While optical satellite imagery is hindered by cloud cover or low-light conditions, Synthetic Aperture Radar (SAR) provides consistent surface observations regardless of weather or illumination. This study introduces a deep learning-based ensemble framework for precise inland waterbody detection using high-resolution X-band Capella SAR imagery. To improve the discrimination of water from spectrally similar non-water surfaces (e.g., roads and urban structures), an 8-channel input configuration was developed by incorporating auxiliary geospatial features such as height above nearest drainage (HAND), slope, …


Are You An Ai Convert Yet?, Essraa Nawar Jan 2026

Are You An Ai Convert Yet?, Essraa Nawar

Library Articles and Research

"At one point that evening, after the conversation had moved from travel to work and then to responsibility, Marium paused and asked me what I did. It was not the transactional question that so often fills conference hallways, asked politely and quickly abandoned, but a genuine inquiry. When I told her that I chair the Artificial Intelligence Committee at Leatherby Libraries at Chapman University, and that my work centers on AI literacy, governance, and institutional decision-making rather than promotion or blind adoption, something subtle changed."


Confluence, Vol. 4, Iss. 2, Full Issue Jan 2026

Confluence, Vol. 4, Iss. 2, Full Issue

The Confluence

No abstract provided.


Teaching Numeracy For Social Justice: Educational Equity, Esther Isabelle Wilder, Crystal C. Rodriguez, Caterina Shost, Eduardo Vianna, Frank Wang Jan 2026

Teaching Numeracy For Social Justice: Educational Equity, Esther Isabelle Wilder, Crystal C. Rodriguez, Caterina Shost, Eduardo Vianna, Frank Wang

Numeracy

The special collection, “Teaching Numeracy for Social Justice: Educational Equity,” focuses on how quantitative reasoning (QR) can function as a vehicle for equity, empowerment, and democratic participation. Building on a longstanding tradition that treats numeracy as inseparable from social justice, these contributions highlight how progressive pedagogies (e.g., active learning, authentic research, and equity-oriented assessment) have the potential to broaden access for students historically excluded from quantitative fields. The studies span a variety of conceptual frameworks, introductory and advanced quantitative instruction, and interdisciplinary applications, showcasing how inclusive QR practices can build confidence, agency, and real-world understanding. These articles demonstrate that when …


High Spatiotemporal Resolution Monitoring Of Crop Water Stress Across The Contiguous United States Using Harmonized Landsat And Sentinel-2 Data, Na Chen, Yanlei Feng, Na Wang, Jevan Yu, Mohammad Reza Alizadeh, Yifeng Cui, Ning Ye, Wenzhe Jiao, Joshua B. Fisher, César Terrer Jan 2026

High Spatiotemporal Resolution Monitoring Of Crop Water Stress Across The Contiguous United States Using Harmonized Landsat And Sentinel-2 Data, Na Chen, Yanlei Feng, Na Wang, Jevan Yu, Mohammad Reza Alizadeh, Yifeng Cui, Ning Ye, Wenzhe Jiao, Joshua B. Fisher, César Terrer

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Accurate and timely monitoring of crop water stress is essential for efficient agricultural water management, ultimately maintaining and improving crop productivity. While Landsat has been used for this purpose, its temporal resolution hampers timely detection of crop water stress. The recently released Harmonized Landsat and Sentinel-2 Version 2.0 dataset, which enables a higher-frequency time series of satellite observations (2–3 days, 30 m), offers a promising solution to this challenge. However, its potential for crop stress monitoring remained unexplored. In this study, we utilized 923 HLS satellite tiles to assess crop water stress across the contiguous United States (CONUS). Crop water …


Affect Regulation In The Context Of Sexual And Gender Minority Stress: A Scoping Review Protocol, Daphne Y. Liu, Benjamin A. Swerdlow, Shao Yuan Chong, Nadia Kako, Alex Rubin, Nicholas S. Perry Jan 2026

Affect Regulation In The Context Of Sexual And Gender Minority Stress: A Scoping Review Protocol, Daphne Y. Liu, Benjamin A. Swerdlow, Shao Yuan Chong, Nadia Kako, Alex Rubin, Nicholas S. Perry

Psychology: Faculty Scholarship

Objective

To provide a broad, comprehensive picture of affect regulation in the context of sexual and gender minority stress, this scoping review aims to identify and synthesize methods, methodologies, and available evidence pertinent to emotion regulation and coping in the context of minority stress among sexual and gender minority (SGM) people.

Introduction

SGM people face disproportionately high rates of mental health problems due to experiences of minority stress and lack of social safety. Theories and growing evidence suggest that affect regulation plays a critical role in SGM people’s well-being in the face of minority stress. Researchers have largely studied emotion …


A Visualization-Supported, Hierarchical, Action-Learning Model For Driving Behavior In A V2x Environment, Xuantong Wang, Jing Li, Jecca Bowen Jan 2026

A Visualization-Supported, Hierarchical, Action-Learning Model For Driving Behavior In A V2x Environment, Xuantong Wang, Jing Li, Jecca Bowen

Geography and the Environment: Faculty Scholarship

Understanding human driving decisions is crucial for intelligent transportation research. Most existing studies focus on individual vehicles in limited contexts, which restricts broader applicability of results. Leveraging Vehicle-to-Everything (V2X) infrastructure, this study introduces a machine learning framework to model driving actions and detect outliers across diverse environments. This approach features a semantically enabled clustering method that groups similar driving behaviors based on speed and actions. It also adds a time-series learning model to identify typical driving behaviors across various contexts, thereby enabling detection of abnormal driving actions. A suite of visual tools has been developed to help interpret driving patterns, …


Exploring The Role Of Occupational Therapy In The Delivery Of Trauma-Informed Services To Hospital-Based Clients Ot, Frank Czuba Jan 2026

Exploring The Role Of Occupational Therapy In The Delivery Of Trauma-Informed Services To Hospital-Based Clients Ot, Frank Czuba

Journal of Applied Disciplines

Hospitalization can traumatize clients and impact overall health outcomes, leading to increased hospital readmission rates and resulting in a negative impact for both clients and providers. Limited information exists regarding how hospital-based occupational therapists evaluate and address trauma, even though incorporating trauma-informed principles into professional practice can enhance the occupational therapy process. The study explored the comprehension and perceived significance of trauma-informed tenets among occupational therapists delivering services in hospital-based settings. A quantitative research study with an exploratory design was implemented to explore how occupational therapists (OT) understand and utilize trauma-informed practices with their clients in a hospital setting. An …


Ai In Society: A Regulatory Framework For Responsible Integration, Ziad Doughan, Sari Itani, Hadi Al Mubasher Jan 2026

Ai In Society: A Regulatory Framework For Responsible Integration, Ziad Doughan, Sari Itani, Hadi Al Mubasher

BAU Journal - Science and Technology

This review paper studies the influence of Artificial Intelligence (AI) and Machine Learning (ML) on society in various categories in detail. AI and ML have developed rapidly in the past two decades, thus changing our lifestyles. These developments have various positive and negative impacts on society. This paper explores the many societal impacts of AI and ML, in economics, social aspects, ethics, and policy, shedding light on the opportunities and challenges that arise. An interdisciplinary insight is capable of understanding the challenges society faces when it uses AI and ML, locking opportunities that lie ahead and identifying promising paths towards …


Use Of Generative Ai In Scholarly Research: Challenges And Opportunities, Marco Marabelli, Robert M. Davison, Giovanni Gatti, Ankita Srivastava, Monideepa Tarafdar Jan 2026

Use Of Generative Ai In Scholarly Research: Challenges And Opportunities, Marco Marabelli, Robert M. Davison, Giovanni Gatti, Ankita Srivastava, Monideepa Tarafdar

Computer Information Systems Faculty Publications

The focus of this panel report is to present evidence of a panel discussion that took place in October 2025 on the use of generative artificial intelligence (GAI) in academic research and publishing. The panel included publishers (Elsevier, Emerald, Gailot Press, MIT Press, Nature/Springer, Wiley) and editors in chief (representing the Information Systems Journal, Journal of the AIS, Journal of Data Science and ICES Journal of Marine Science). Key outcomes of the panel are the following: 1) publishers and editors have some disagreements regarding GAI use; 2) besides disagreements, all recognize that GAI is here to stay, therefore outstanding issues …