An Empirical Study Of Immersive Technology Using Desktop Augmented Reality Software For Primary School In Thailand,
2025
Graduate School
An Empirical Study Of Immersive Technology Using Desktop Augmented Reality Software For Primary School In Thailand, Orakarn Laoharutanun
Chulalongkorn University Theses and Dissertations (Chula ETD)
This research investigates learner engagement and reuse intention in immersive learning environments through the development and evaluation of a Desktop Augmented Reality (Desktop AR) application designed for primary school students in Thailand. Grounded in the 5E instructional model and the immersive engagement framework, the study identifies four key experiential factors—presence, embodiment, enjoyment, and novelty—that influence engagement and reuse intention in immersive learning. A multi-phase mixed-method design was employed. Phase I developed and tested a theoretical model using structural equation modelling with primary students aged 11 (Pratom6). Phase II involved designing a Desktop AR learning application, followed by expert validation of …
Multimodal Wearable Intelligence For Dementia Care In Healthcare 4.0: A Survey,
2025
Old Dominion University
Multimodal Wearable Intelligence For Dementia Care In Healthcare 4.0: A Survey, Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Li Da Xu
Information Technology & Decision Sciences Faculty Publications
As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent "Healthcare 4.0" which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with …
A Two-Phase Learning Approach Integrated With Multi-Source Features For Cloud Service Qos Prediction,
2025
Tianjin University
A Two-Phase Learning Approach Integrated With Multi-Source Features For Cloud Service Qos Prediction, Fuzan Chen, Jing Yang, Haiyang Feng, Harris Wu, Minqiang Li
Information Technology & Decision Sciences Faculty Publications
Quality of Service (QoS) is a key factor for users when choosing cloud services. However, QoS values are often unavailable due to insufficient user evaluations or provider data. To address this, we propose a new QoS prediction method, Multi-source Feature Two-phase Learning (MFTL). MFTL incorporates multiple sources of features influencing QoS and uses a two-phase learning framework to make effective use of these features. In the first phase, coarse-grained learning is performed using a neighborhood-integrated matrix factorization model, along with a strategy for selecting high-quality neighbors for target users. In the second phase, reinforcement learning through a deep neural network …
A Spoofing Speech Detection Method Combining Multi-Scale Features And Cross-Layer Identification,
2025
Taiyuan University of Technology
A Spoofing Speech Detection Method Combining Multi-Scale Features And Cross-Layer Identification, Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng
Information Technology & Decision Sciences Faculty Publications
Pre-trained self-supervised speech models can extract general acoustic features, providing feature inputs for various speech downstream tasks. Spoofing speech detection, which is a pressing issue in the age of generative AI, requires both global information and local features of speech. The multi-layer transformer structure in pre-trained speech models can effectively capture temporal information and global context in speech, but there is still room for improvement in handling local features. To address this issue, a speech spoofing detection method that integrates multi-scale features and cross-layer information is proposed. The method introduces a multi-scale feature adapter (MSFA), which enhances the model’s ability …
Optimal Control Of Queueing Systems With Error-Prone Servers,
2025
Old Dominion University
Optimal Control Of Queueing Systems With Error-Prone Servers, Junqi Hu, Sigrún Andradóttir, Hayriye Ayhan
Information Technology & Decision Sciences Faculty Publications
Consider a Markovian tandem line with finite intermediate buffers and an equal number of stations and servers. Servers are flexible but noncollaborative, so that a job can be processed by at most one server at any time. When a job is being processed, it can be damaged and wasted depending on the proficiency of the server. We identify the dynamic server assignment policy that maximizes the long-run average throughput of the system with two stations and two servers. We find that the optimal policy is either a single or a double threshold policy on the number of jobs in the …
Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach,
2025
Old Dominion University
Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach, Xianrong Zheng
Information Technology & Decision Sciences Faculty Publications
Generative AI, which ushers a new age of AI, comes with huge economic potential. To capitalize the AI boom, investors are interested in trading AI stocks. AI chatbots, which can identify and classify the sentiment from financial news, can be leveraged for investment. So, this paper proposes a GPT-based sentiment analysis approach for trading AI stocks. Also, natural experiments are conducted to evaluate its effectiveness. Initial results show that the approach achieves a good rate of return.
From Normal To Disaster Response Mode: How Can Virtual Communities Reconfigure Themselves To Respond Effectively To A Disaster?,
2025
Missouri University of Science and Technology
From Normal To Disaster Response Mode: How Can Virtual Communities Reconfigure Themselves To Respond Effectively To A Disaster?, Mahmudul Hasan, Cecil Eng Huang Chua, Michael David Myers, Varqa Shamsi Bahar
Business and Information Technology Faculty Research & Creative Works
During a disaster, many people seek information from virtual communities. However, information overload, falsehoods and unrelated topics hinder information flow in virtual communities, putting disaster victims at risk. Given many disasters are generally of a short duration, we explore how virtual communities can quickly reconfigure themselves to respond effectively to a disaster. Drawing on risk society theory, our findings suggest reconfiguration is done via a series of cycles initially involving community members and subsequently featuring both community members and moderators working together to mitigate risks. We contribute to virtual community discourse on disaster response by showing how a virtual community …
Modeling Ion-Specific Effects In Polyelectrolyte Brushes: A Modified Poisson-Nernst-Planck Model,
2025
Missouri University of Science and Technology
Modeling Ion-Specific Effects In Polyelectrolyte Brushes: A Modified Poisson-Nernst-Planck Model, William J. Ceely, Marina Chugunova, Ali Nadim, James D. Sterling
Business and Information Technology Faculty Research & Creative Works
Polyelectrolyte brushes consist of a set of charged linear macromolecules, each tethered at one end to a surface. An example is the glycocalyx which refers to hair-like negatively charged sugar molecules that coat the outside membrane of all cells. We consider the transport and equilibrium distribution of ions and the resulting electrical potential when such a brush is immersed in a salt buffer containing monovalent cations (sodium and/or potassium). The Gouy-Chapman model for ion screening at a charged surface captures the effects of the Coulombic force that drives ion electrophoresis and diffusion but neglects non-Coulombic forces and ion pairing. By …
Mindful Or Mindless? How And Why Virtual Communities Fail To Contain Information Pollution Across Different Disasters,
2025
Missouri University of Science and Technology
Mindful Or Mindless? How And Why Virtual Communities Fail To Contain Information Pollution Across Different Disasters, Mahmudul Hasan, Varqa Shamsi Bahar, Cecil Eng Huang Chua, Michael David Myers
Business and Information Technology Faculty Research & Creative Works
People visit virtual communities to find trusted information (i.e. verifiable, accurate and reliable information) during disasters. Virtual communities are open spaces where people interact and share information. However, virtual communities often suffer from information pollution (including too much information and false or contradictory information) which decreases peoples' ability to find trusted information. Oddly, some virtual communities will develop useful practices for combatting information pollution during one disaster but subsequently fail to effectively employ the same practices or adapt them in subsequent disasters. We conducted a longitudinal, exploratory cross-case study to better understand how and why this occurs. Using the lenses …
Keep Family Business Innovating: Revisit The Relationship Between Succession And Innovation From Ownership Succession,
2025
Missouri University of Science and Technology
Keep Family Business Innovating: Revisit The Relationship Between Succession And Innovation From Ownership Succession, Yuan Chen, Weize Huang, Chevy-Hanqing Fang, Ling Chen
Business and Information Technology Faculty Research & Creative Works
This study examines how family owner-manager successors' ownership influences R&D investment in family businesses. Drawing on the socioemotional wealth (SEW) perspective, we theorize that successors with higher family ownership prioritize extended SEW, leading to stronger R&D investment, while those with lower family ownership prioritize restricted SEW, resulting in weaker R&D investment. Additionally, we explore how family dynamics—specifically, the number of family directors and asymmetric salary favoring family members—moderate this relationship. Our findings enhance the understanding of successor heterogeneity and its impact on innovation, offering insights for succession planning that support the long-term sustainability of family businesses.
Electrostatic Effects On The Transport And Dispersion Of Micro-Nano Pharmaceutical Powders,
2025
The University of Texas at Tyler
Electrostatic Effects On The Transport And Dispersion Of Micro-Nano Pharmaceutical Powders, Mohammed Ali
Technology Faculty Publications and Presentations
A predetermined amount of micro-nano powder particles contributes to the treatment during a patient’s inhalation of the bolus of respiratory micro-nano pharmaceutical powders in an aerosolized state from commercially available inhalers. The most popular inhalers are the metered dose inhalers (MDIs) and dry powder inhalers (DPIs). While inhaling, the complicated inlet velocity profile and turbulent flow in the mouth-throat significantly impact the gaining of electrostatic charge through triboelectric charging. The inhaled particles are not only varying sizes but also polarities of charges. However, few studies have been conducted to investigate electrostatic charge force effects on particle losses in the oral, …
Confronting Indecision,
2025
Dartmouth College
Confronting Indecision, Lane Allison Murray
ENGS 15.11: Design and Education
This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.
Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution,
2025
Old Dominion University
Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang
ODU Articles
Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …
5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network,
2025
Taiyuan University of Technology
5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network, Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng
Information Technology & Decision Sciences Faculty Publications
The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant …
A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities,
2025
Chualongkorn University
A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon
Information Technology & Decision Sciences Faculty Publications
In an era marked by relentless technological shifts and market volatility, digital transformation (DT) alone is insufficient. Organizations must develop Resilient Digital Transformation (RDT)—the organizational capabilities required to sustain DT over a medium-term horizon—to navigate these challenges effectively. This study primarily aims to propose a guideline for fostering RDT. Drawing on the PRISMA guidelines and a systematic review of 77 peer-reviewed papers, this study identifies and synthesizes key targets and drivers across three core pillars: Technology, Organization, and External Environment. These elements collectively foster organizational resilience. Specifically, this study highlights how adaptability, innovation, and scalability form the technological underpinnings of …
A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models,
2025
Ulsan National Institute of Science and Technology
A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim
Mathematics & Statistics Faculty Publications
The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …
Interfaces, Social Information Processing, And Diversity Cascades: How Board Diversity Influences Invention Output,
2025
Singapore Management University
Interfaces, Social Information Processing, And Diversity Cascades: How Board Diversity Influences Invention Output, Daniel Z. Mack, Guoli Chen, Po-Hsuan Hsu, Yen Teik Lee, Gerard George
Research Collection Lee Kong Chian School Of Business
Although recent studies report a positive relationship between board diversity and firms' invention output, less is known about the mechanisms by which they operate, given that boards are typically far removed from on-the-ground invention activities. Drawing from research on interfaces and social information processing, we propose a theory of diversity cascades across the organizational hierarchy. Specifically, we posit that board diversity has a positive––albeit indirect––influence on firms' invention output. This relationship is mediated by the diversity of top management teams and inventor diversity, as board diversity cascades from the top to lower ranks of an organization. This indirect effect is …
A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making,
2025
University of York
A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu
Engineering Technology Faculty Publications
The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …
Adapting To Win: Churchill Downs Inc. And The New Era Of Entertainment And Betting.,
2025
University of Louisville
Adapting To Win: Churchill Downs Inc. And The New Era Of Entertainment And Betting., Mahesh Gupta, William Ferko, Thomas E. Lambert
Faculty and Staff Scholarship
This paper provides a comprehensive analysis of Churchill Downs Inc. (CDInc), a cornerstone of the Thoroughbred racing industry and the distinguished host of the Kentucky Derby. Situated at a critical juncture in the rapidly evolving spheres of gambling and entertainment, CDInc faces unique challenges and opportunities to maintain its preeminence and adapt to new market demands. Utilizing the Service Triangle framework, this study offers a deep dive into CDInc’s strategic operations, service delivery, and competitive positioning. The framework helps illuminate how shifts in consumer behavior, technological innovations, and regulatory changes are reshaping the industry. Despite facing challenges such as declining …
Omnichannel Retailing: An Exploratory Study Of Limiting The Customer Journey In A Digital-First Context,
2025
Murray State University
Omnichannel Retailing: An Exploratory Study Of Limiting The Customer Journey In A Digital-First Context, Terence L. Holmes, Edward C. Brewer, Elizabeth Patterson
Atlantic Marketing Journal
A recent retail trend is the rise of “digital-first” firms, where their merchandise is sold primarily via online efforts. In this exploratory study we describe our investigation of the customer journey for a digital-first seller of cosmetics and personal care products. We collected qualitative and quantitative data from a customer survey and follow-up interviews. Results indicate that personal connections and actual product use are the two most important touchpoints customers consider in first discovering the seller and then building a relationship with the brand. We describe practical applications of the findings and suggest ideas for future research.
