Analysing The Us—China “Ai Cold War” Narrative,
2025
University of Kentucky
Analysing The Us—China “Ai Cold War” Narrative, Yujia He, Richard Heeks
Patterson School of Diplomacy and International Commerce Faculty Publications
Discussions about artificial intelligence (AI) are gaining prominence in the recent revival of “cold war” narratives comparing US-China relations today to the historical rivalry between the US and the Soviet Union. Drawing on a review of existing academic and policy literature engaging with the “AI cold war” narrative, this paper examines how the narrative is justified, and numerous ways that it can be challenged. It finds that the framing is largely driven by the securitisation of AI, as state actors and policy pundits view AI innovations’ dual-use capabilities as key to national security and ideological competition. However, critics posit that …
Insights In Cybersecurity Of A Smart Campus - A Review,
2025
The Technical University of Cluj-Napoca Cluj-Napoca, 400027, Cluj county, Romania
Insights In Cybersecurity Of A Smart Campus - A Review, Mircea Ţălu
Journal of Cybersecurity Education, Research and Practice
The profound impact of the Internet of Things (IoT) on various fronts, is driven by technological advancements, the ubiquitous spread of information, and the emergence of transformative events. IoT presents a diverse array of possibilities within university environments, fostering a more connected and enhanced educational experience. This research undertakes a comprehensive review of existing literature to provide context to the IoT and underscore its crucial significance in the realm of smart campuses. Additionally, the paper explores the intricate connections between IoT and key concepts such as cybersecurity and wireless sensor networks to present a holistic perspective. It delves into the …
Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam,
2025
Can Tho University
Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski
Publications and Research
Low-lying deltas worldwide are extremely vulnerable to sea-level rise. As the risks of climate-induced flooding become increasingly clear, the thirst for infrastructure-driven adaptation increases. This highlights a patent need to understand the impacts of engineering adaptation solutions, especially those targeting built structures such as dykes and sluices, on farmers from a bottom-up, farmer-centred perspective. The study addresses this call by examining cases where dyke policies, while successful in some dimensions, have undermined small-scale farmer livelihoods in Ca Mau ― Vietnam’s southernmost rural province. It identifies areas in need of attention and adds empirical data related to this group of farmers. …
Why Ai Monitoring Faces Resistance And What Healthcare Organizations Can Do About It: An Emotion-Based Perspective,
2025
IT University of Copenhagen
Why Ai Monitoring Faces Resistance And What Healthcare Organizations Can Do About It: An Emotion-Based Perspective, Karl Werder, Lan Cao, Eun Hee Park, Balasubramaniam Ramesh
Information Technology & Decision Sciences Faculty Publications
Continuous monitoring of patients' health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision makers. Healthcare organizations frequently assume that the resistance stems from patients' rational evaluation of the technology's costs and benefits. Recent research challenges this assumption and suggests that the resistance to AI monitoring is influenced by the emotional experiences of patients and their surrogate decision makers. We develop a framework from an emotional perspective, provide important implications for healthcare organizations, and offer recommendations to help reduce …
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.
Teaching Social Marketing Concepts Through Prosocial Behavior Lenses,
2025
William Paterson University of New Jersey
Teaching Social Marketing Concepts Through Prosocial Behavior Lenses, Bela Florenthal
Atlantic Marketing Journal
This study investigates the educational value of a prosocial project embedded in a college-level marketing course. Framed through a humanistic and holistic lens, the initiative integrated acts of kindness (AOKs) to engage students in real-world application of social marketing concepts. Using a mixed-methods approach, data were collected through student reflections and surveys, revealing high levels of cognitive, emotional, and behavioral engagement. Students developed empathy, compassion, and self-awareness, reinforcing the importance of integrating experiential learning into business education. The project also addressed AACSB’s emphasis on societal impact and aligned with the UN’s Sustainable Development Goals by promoting emotional well-being and civic …
Startup Equity To Stock Exchange: Key Drivers In Venture-Backed Ipo Journeys,
2025
Claremont McKenna College
Startup Equity To Stock Exchange: Key Drivers In Venture-Backed Ipo Journeys, Aryaman Shiv Khosla
CMC Senior Theses
This study investigates the components that shape the probability of a venture capital (VC) backed company’s ability to transition from private to public markets through an Initial Public Offering (IPO). The study employs logistic regression models to analyze firm-specific and funding-related determinants of IPO likelihood. Key predictors in this study include total VC funding, number of VC rounds, average deal size growth, size of first round, average days between rounds, company age, number of employees, and primary industry sector. The findings reveal that higher total funding increases IPO likelihood, highlighting the critical role of robust capital access in fueling growth …
Skip-Level Meetings: Perspectives Of Skipped First-Tier U.S. Tech Leaders,
2025
Anderson University
Skip-Level Meetings: Perspectives Of Skipped First-Tier U.S. Tech Leaders, Samuel Blacher
Dissertations
Although significant research exists on numerous intersecting theories, such as adaptive leadership, leadership communication, and employee voice, and although they are discussed in business publications and widely yet inconsistently implemented in industry, skip-level meetings are little scholarly studied. Such meetings offer benefits for employees, direct (skipped) managers, and skip-level leaders, and through them, to organizations, yet they also hold risks and pitfalls, and are influenced by various contextual factors, such as stakeholders’ national culture and age. This exploratory qualitative study employed elements of interpretive phenomenology, followed by thematic analysis, to examine the experiences, perceptions, and emotions of a diverse set …
Inclusive-Classroom Simulation Using Immersive Vr Technology : A Training Tool For Classroom Management With Asd Students,
2025
Graduate School
Inclusive-Classroom Simulation Using Immersive Vr Technology : A Training Tool For Classroom Management With Asd Students, Jakkarin Thepvong
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study developed and evaluated the Inclusive Classroom Simulation (ICS), an immersive virtual reality (IVR) tool designed to improve pre-service teachers’ self-efficacy and attitudes toward managing inclusive classrooms with students on the autism spectrum. Using mixed-methods approach, including expert interviews, prototype development, usability testing, and a pre-post VR intervention, the study engaged pre-service teachers in realistic classroom scenarios that replicated ASD-related disruptive behaviors. Findings indicate that high sense of agency enchances classroom-management, self-efficacy and attitudes toward inclusive practices. Qualitative results further support the tool’s authenticity, usability, and potential for skill transfer to real-world teaching. The research expands VR-based teacher training …
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.
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 …
Analysis Of Technology Skill Requirements For Entry-Level Accountants,
2025
Columbus State University
Analysis Of Technology Skill Requirements For Entry-Level Accountants, Jiane Louella Tolentino Rabara
Theses and Dissertations
This study examines the evolving impact of emerging technologies on skill requirements for entry-level accountants. Using a mixed-method approach that combines literature review and quantitative analysis of 2,257,082 job postings from 2021 to 2024 provided by the Butler Center for Research and Economic Development, the study evaluates trends in employer expectations across firm sizes and time. Chi-square tests revealed significant changes in the proportion of postings requiring technological skills (χ² = 117,672, df = 3, p < .001), indicating a shift in how technology-related competencies are presented in job ads. Specifically, while previous job postings often included general technical skills alongside traditional accounting tasks, recent job postings increasingly emphasize advanced or specialized technologies—such as ERP systems, cloud accounting platforms, and automation tools. This shift suggests that employers are moving away from broad technical expectations toward more targeted skill sets, reflecting the evolving technological demands of the profession. A separate chi-square test found a significant relationship between technological skill requirements and job ad duration (χ² = 2,309.57, df = 4, p < .001). However, no consistent pattern of longer posting duration was observed for technology-oriented roles. Literature-based synthesis further showed that large accounting firms continue to demand more advanced technological competencies than smaller firms. Overall, while traditional accounting skills remain predominant, the findings indicate a transition toward more specialized technological expectations in the entry-level accounting role.
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, …
