Digital Commons Network^™

Korea At The Crossroads: Steering Between Two Paths In The New Global Trade Order, Paul Hong

KAUPA Letters

Korea stands at a pivotal crossroads in global trade, caught between the twin forces of rising protectionism and the emergence of a multipolar economic order. Once a major beneficiary of U.S.-led free trade, its export-driven growth thrived under predictable rules and open markets. That stability is now eroding as the United States shifts toward protectionism—driven by mounting debt, persistent trade deficits, and the burdens of overextended global commitments—through tariffs, reshoring incentives, and strategic restrictions on key sectors like steel, semiconductors, and electric vehicles. These measures have disrupted Korea’s supply chains, complicated market access, and heightened uncertainty, even as China’s economic …

Practicing The Art And Craft Of Screenwriting: Analysis And Opportunity From A Faith-Informed Perspective, Kevin R. Crawford

KAUPA Letters

This paper describes the commitments and standards of practice required by those wishing to write from a faith-informed perspective – particularly, a Christian worldview frame. It highlights elements of Minkyu Lee’s award-winning animation Adam and Dog (2011) by way of illustration and argues a new role for faith-informed storytelling that correctly resists the temptation to preach especially in a world where any project deemed to promote an organized religious agenda, however simple or subtle, is apt to be ridiculed, marginalized, and ignored.

Combining Prose And Poetry: The Aesthetic, History, And Uses Of Haibun And Tanka Prose, John J. Han

KAUPA Letters

This chapter introduces the defining features, formal structure, and literary functions of haibun and tanka prose—two Japanese hybrid poetic forms that artfully merge lyrical narrative with short-form poetry. After tracing their classical origins and modern development in both Eastern and Western contexts, the chapter explores six thematic categories through original examples: travel, nature, memory, spiritual and philosophical reflection, social critique, and humor. These themes showcase the versatility and emotional range of the forms. The chapter concludes with a hands-on writing guide and practical advice on publication, encouraging readers to engage personally and creatively with these genres. Blending scholarship, lived experience, …

A Certainty-Based Approach To Implementing Zero Trust Architecture Using Nist Sp 800-207 And Nist Sp 1800-35, Young B. Choi

KAUPA Letters

This paper proposes a certainty-based methodology for implementing the Zero Trust Architecture (ZTA) as defined in NIST SP 800-207 and NIST SP 1800-35 (NIST, 2020; NIST, 2025). By applying a probabilistic model that quantifies the certainty of security-related facts, the proposed approach enhances decision-making for access control and security policy enforcement. This method utilizes major security databases to assess and compute certainty of facts, thereby improving the resilience, adaptability, and accuracy of Zero Trust systems (Liu, Chandramouli, & Kuhn, 2020).

Kim, Eugenia. The Calligrapher’S Daughter: A Novel. Henry Holt And Company, 2009. 400 Pages, $26.00. Isbn: 978-0805089127., John J. Han

KAUPA Letters

No abstract provided.

How To Be An Indispensable Professor: An Administrator’S Perspective, John J. Han

KAUPA Letters

No abstract provided.

Reminiscences On My Visit To North Korea: Put Down Your Swords And Money And Think Hard, Yeomin Yoon

KAUPA Letters

No abstract provided.

Comparing Dental Microwear In The Populations At An Iron Age (C. 4010 Bp) And Early Historic (C. 2600 Bp) Site In South India, Ruokuonuo Rose Yhome, Kalavathy Rajan, R. Sivanantham, M. Ramesh, R. Ajaykumar, R. Kaviya, M. Suresh, T. Arun Raj, V.P. Yathees Kumar, Peter Ungar

Anthropology Faculty Publications and Presentations

Dental microwear texture analysis (DMTA) has proven to be a valuable tool for separating bioarchaeological samples by subsistence practice, preferred diet, food-processing technology, and cooking method. In this study, we compared samples of individuals from two South Indian sites-an Iron Age site (Adichchanallur, similar to 4010 BP, n = 27) and an Early Historical site (Keeladi, similar to 2600 BP, n = 31). Both samples represent farming communities that likely had broadly similar diets dominated by cultivated rice and mung beans, wild nuts and pulses, and both domesticated cattle and wild game. Moreover, the archaeological evidence indicates that both communities …

The Application Of Vetiver Grass In Natural Disaster Mitigation And Environmental Protection In Vietnam: A Bibliometric Analysis And Literature Review, Truc Phan, Tan Nguyen, Thang Pham, Bich T. Luong, Huong Nguyen

Civil Engineering Faculty Publications

Vetiver grass (Vetiveria zizanioides or Chrysopogon zizanioides) is a versatile tropical plant widely recognized for its applications in environmental protection and natural disaster mitigation. In Vietnam, where natural disasters such as floods and landslides are frequent, particularly along highways, Vetiver grass has proven to be an effective bioengineering solution. This paper provides a comprehensive review of the applications and benefits of Vetiver grass in preventing soil erosion and stabilizing slopes along Vietnam’s transportation systems. A bibliometric analysis of 555 Scopus-indexed publications (2000 – 2024) was conducted using VOSviewer software to identify research trends, key themes, and knowledge gaps. The findings …

Stock-To-Use Ratio And Price Of Rice: Deciphering The Relationships, Khondoker Abdul Mottaleb, Joohun Han, Willy Mulimbi, Durand-Morat Alvaro

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The stock-to-use ratio (STU) is a widely utilized indicator to assess market conditions and forecast price movements for agricultural commodities. However, before drawing any conclusions, it is essential to empirically investigate the relationship between STU and commodity prices. Using rice as a case study, this research examines the empirical linkage between rice prices and STU, both collectively and individually across 16 leading rice-producing and consuming countries. To do so, the study first employs the panel vector autoregression approach to capture the dynamic interrelationships in a panel data setting, followed by vector autoregression estimation at the individual country level. The results …

Surface Water Irrigation Reservoirs Improve Groundwater Recovery In A Heavily Stressed Aquifer, Joshua Michael Blackstock, Obembe Odipo, Aaron Shew, Michele Reba, Joseph Massey, Phillip R. Owens, Christopher D. Delhom

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Expansion of irrigated cropland area in eastern Arkansas has led to the formation of regional cones of depression and creation of critical groundwater areas for the Mississippi River Valley alluvial aquifer (MRVA) in Arkansas. In response, use of surface water reservoirs for irrigation in the Grand Prairie critical groundwater area (GPCGA) has been implemented toward improving groundwater recovery, but effects of this strategy are unclear. We leverage publicly available satellite imagery and geospatial computational resources to estimate in GPCGA: (1) total surface water area on cropland and non-cropland potentially used for irrigation using a supervised classification model and (2) causal …

Independent- September 2025, Leslie Lozada

The Independent (1988-present)

No abstract provided.

Telemedicine-Based Cognitive Behavioral Therapy (Tenacity) For Veterans With Chronic Migraine: A Pilot Randomized Controlled Trial Protocol., Teresa M Damush, Samantha M Calcatera, Olivia Datre, Lindsey Hayley, Charles Austin, Emily L Schlitz, Carin Lea Eubanks, Lynnie Harrison, Doyle Yuan, Stanley Taylor, Mindy Flanagan, John Ney, Elizabeth K Seng, Jason J Sico, Amy S Grinberg

Health Services and Informatics Research

BACKGROUND: Behavioral interventions for people with headache (HA) diseases have demonstrated clinical efficacy. Despite strong empirical support and endorsement by professional practice organizations, behavioral interventions are not widely accessible to HA patients. Clinic-based behavioral treatments remain inaccessible to many. The objectives of this study are to conduct a pilot randomized controlled trial and to determine the feasibility of the implementation of a cognitive behavioral therapy protocol for HA (CBT-HA) delivered via telehealth (TENACITY) compared to enhanced HA usual treatment (EHUT).

METHODS/DESIGN: TENACITY is a single-blinded, randomized, controlled, pilot trial with a single intervention arm and an EHUT control arm analyzed …

Assessing The Effectiveness Of Crawlers And Large Language Models In Detecting Adversarial Hidden Link Threats In Meta Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

In the emerging field of Meta Computing, where data collection and integration are essential components, the threat of adversary hidden link attacks poses a significant challenge to web crawlers. In this paper, we investigate the influence of these attacks on data collection by web crawlers, which famously elude conventional detection techniques using large language models (LLMs). Empirically, we find some vulnerabilities in the current crawler mechanisms and large language model detection, especially in code inspection, and propose enhancements that will help mitigate these weaknesses. Our assessment of real-world web pages reveals the prevalence and impact of adversary hidden link attacks, …

Mixsa: Training-Free Reference-Based Sketch Extraction Via Mixture-Of-Self-Attention, Rui Yang, Xiaojun Wu, Shengfeng He

Research Collection School Of Computing and Information Systems

Current sketch extraction methods either require extensive training or fail to capture a wide range of artistic styles, limiting their practical applicability and versatility. We introduce Mixture-of-Self-Attention (MixSA), a training-free sketch extraction method that leverages strong diffusion priors for enhanced sketch perception. At its core, MixSA employs a mixture-of-self-attention technique, which manipulates self-attention layers by substituting the keys and values with those from reference sketches. This allows for the seamless integration of brushstroke elements into initial outline images, offering precise control over texture density and enabling interpolation between styles to create novel, unseen styles. By aligning brushstroke styles with the …

Neuro-Ins: A Learning-Based One-Shot Node Insertion For Dynamic Routing Problems, Zhiqin Zhang, Jingfeng Yang, Zhiguang Cao, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The rise in instant delivery services necessitates efficient route planning in last-mile delivery scenarios, where new orders arrive dynamically and need to be integrated into existing routes. In such contexts, complete re-optimization of routes are not permitted, and node insertion to existing route sequences is the only viable option. However, many existing heuristics for node insertion, such as the Cheapest Insertion (CI) method, are myopic and often result in suboptimal solutions retrospectively. This paper presents Neuro-Ins, an initial yet novel attempt at harnessing a learning-based framework to handle the insertion of new orders for the Pickup and Delivery Problem (PDP). …

Lighttransfer: Your Long-Context Llm Is Secretly A Hybrid Model With Effortless Adaptation, Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

Scaling language models to handle longer contexts introduces substantial memory challenges due to the growing cost of key-value (KV) caches. Motivated by the efficiency gains of hybrid models and the broad availability of pretrained large transformer backbones, we explore transitioning transformer models into hybrid architectures for a more efficient generation. In this work, we propose LightTransfer, a lightweight method that transforms models such as LLaMA into hybrid variants. Our approach identifies lazy layers -- those focusing on recent or initial tokens -- and replaces their full attention with streaming attention. This transformation can be performed without any training for long-context …

Gti: Graph-Based Tree Index With Logarithm Updates For Nearest Neighbor Search In High-Dimensional Spaces, Ruoyao Ma, Yifan Zhu, Baihua Zheng, Lu Chen, Congcong Ge, Yunjun Gao

Research Collection School Of Computing and Information Systems

Nearest neighbor search (NNS) is fundamental for high-dimensional space retrieval and impacts various fields, such as pattern recognition, information retrieval, recommendation systems, and vector database management. Among existing NNS methods, graph-based methods often excel in query accuracy and efficiency. However, these methods face significant challenges, including high construction costs and difficulties with dynamic data updates. Recent efforts have focused on combining graph methods with hashing, quantization, and tree-based approaches to address these issues, but problems with large index sizes and update performance remain unresolved. In response, this paper proposes GTI, a novel, lightweight, and dynamic graph-based tree index for high-dimensional …

Deep Graph Anomaly Detection: A Survey And New Perspectives, Hezhe Qiao, Hanghang Tong, Nanyang Technological University, Irwin King, Charu Aggarwal, Guansong Pang

Research Collection School Of Computing and Information Systems

Graph anomaly detection (GAD), which aims to identify unusual graph instances (e.g., nodes, edges, subgraphs, or graphs), has attracted increasing attention in recent years due to its significance in a wide range of applications. Deep learning approaches, graph neural networks (GNNs) in particular, have been emerging as a promising paradigm for GAD, owing to its strong capability in capturing complex structure and/or node attributes in graph data. Considering the large number of methods proposed for GNN-based GAD, it is of paramount importance to summarize the methodologies and findings in the existing GAD studies, so that we can pinpoint effective model …

Guiding State-Specific Studies On Highway Disasters: Examining Differences In Postdisaster Funding, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The highway sector is frequently and severely impacted by natural disasters. To mitigate these effects and reduce the need for large relief budgets or emergency funds, it is crucial to study the resilience of the transportation network. As such, defining resilience in absolute terms is not enough; instead, it is equally important to analyze specific case studies and build a lessons-learned rapport. This is critical because it helps identify unique vulnerabilities and strengths that might be overlooked in broader analyses. However, current research on highway resilience often lacks empirical evidence to support the selection of these unique and significant case …

Risk Allocation Model For Price Escalations In Construction Projects: Integrating Bargaining Game Theory And Probabilistic Bayesian Modeling, Yasser Jezzini, Rayan H. Assaad, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Economic market uncertainties, like those witnessed during pandemics and supply chain-related challenges, introduce complexity in ascertaining precise price estimates for construction materials. Despite some studies on risk allocation in construction projects utilizing quantitative and qualitative approaches, these studies fail to explain the underlying process of risk allocation due to a lack of theoretical support, indicating a need for a more structured and theoretically grounded approach to understanding risk allocation, specifically under volatile market conditions. To bridge this knowledge gap, this study proposes a novel game-theoretical model integrating Bayesian statistics and bargaining game theory dynamics, offering a robust framework for optimal …

Identification Of Flow Regime In A Co-Current Upflow Packed Bed Reactor (U-Pbr) Using Gamma-Ray Densitometry (Grd), Youssef Yatimi, Ahmed Alalou, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Owing to their significant impact on the reaction rate, the comprehensive understanding of the hydrodynamics in any novel design of the Upflow Packed Bed Reactor (U-PBR) is essential for the optimization of its throughput. In this regard, the identification of the flow regime is of paramount importance. Therefore, in this work, we use the photon counts time-series data obtained using the non-invasive Gamma-ray densitometry (GRD) to identify, for the first time, the flow regimes and their transition velocities at two axial locations (Z/D=0.8,1.56) and five radial locations (r/R=0,±0.5,±0.9) within the packed catalysts' bed of U-PBR with a novel plenum design …

Examining The Evolution Of The Community College, Marian E. Truehill

Journal of Research Initiatives

Community colleges created opportunities for expansion to feed into four-year institutions in the United States. Community colleges served high school students, military veterans, and diverse student populations in U.S. communities. In the twenty-first century, various educational needs and rebuilding processes existed for many community colleges in the United States. Community colleges serve as educational hospitals, assisting four-year institutions in higher education.

Sustainable Purpose- And Passionpreneurship: New-Age Lifestyle Or A Necessity For Sustainable Development?, Veronika Pereseina

All Works

Entrepreneurship has proven to be a dynamic force for societal change in urgent global transformation toward sustainability. While governments and established institutions often move slowly, a new wave of entrepreneurs—guided by passion, purpose, and a holistic worldview—are actively shaping alternative paths to sustainable development. This study investigates how entrepreneurs integrate personal purpose, well-being, and a holistic approach into their businesses and lifestyles. Drawing on observations and interviews with selected entrepreneurs, the research employs thematic analysis to explore their motivations, decision-making processes, and the role of environments in shaping their ventures. The findings highlight a distinctive approach of conscious entrepreneurs: a …

An Asymmetrical Pilot Resilience Model – Fuzzy-Set Qualitative Comparative Analysis, Catherine Prentice, Maneerat Tianchai, Susan Zeidan, Xuequn Wang

All Works

Pilots' mental wellbeing has implications for airline business. The study draws on appraisal theory to test asymmetrical relationships between pilots’ cognitive flexibility, coping, and stress management, using fuzzy-set qualitative comparative analysis (fsQCA). Regression analysis was performed to provide comparison and insights into these relationships. The study was conducted with professional pilots who engaged in short, medium, and long-haul flights with commercial airlines. The results show that certain cognitive flexibility factors account for coping strategy options. Multiple configurations of pilot personal factors and coping strategies can also be used to address stress management in terms of magnitude and frequency. The findings …

Parent Needs, Recommendations, And Systemic Challenges Affecting Pediatric Hypertension Detection, Abbas H. Zaidi, Erica D. Sood, Sarah De Ferranti, Samuel Gidding, Varsha Zadokar, Jonathan M. Miller, Anne E Kazak

Department of Pediatrics Faculty Papers

Pediatric hypertension (HTN) affects 3%-5% of children in the United States, yet only 25% are diagnosed and 60% lack recommended follow-up care. Skepticism about elevated blood pressure (BP) readings and reluctance to use antihypertensive medications by parents and clinicians highlight the need for stakeholder-informed strategies to address these challenges. This study examined parents' perceived needs, their recommended strategies to improve HTN detection, and contextual health system challenges. Parents and clinicians from 10 pediatric primary care clinics participated in semi-structured qualitative interviews. Only parents of children with documented stage 2 BP readings and a HTN diagnosis, but with gaps in care …

Covid-19 Adolescent Technology Use And Physical Activities: Cluster Analysis For Mental Health, Chunling Niu, Rui Jin, Ashley Love, Sohelia Sadeghi, Loren Cossette, Marissa Molina

Journal of Youth Development

This study examined how COVID-19 disrupted adolescent education, social interactions, and mental health by conducting exploratory cluster analysis to identify distinct profiles of technology use and physical activities, then comparing resulting clusters on demographics, social support, and mental health dimensions. Using the first wave of the longitudinal Oxford Achieving Resilience during COVID-19 (ARC) study of 1,196 United Kingdom adolescents aged 13-18, three clustering algorithms (k-means, k-medoids, and agglomerative hierarchical) identified optimal groupings validated both statistically and empirically. Three distinct clusters emerged: Cluster 1 (n = 380) characterized by low media use and moderate activity; Cluster 2 (n = 153) showing …

Culturally Responsive Stem Education: Integrating Mapping Techniques And Drone Technology For Youth, Mayra Rodriguez Gonzalez, Kevin G. Torres Garrido

Journal of Youth Development

Integrating drone and geospatial technologies with participatory techniques offers a promising approach to culturally responsive STEM education. However, these areas are rarely combined in existing literature. Drone and geospatial education for youth generally focuses on technical skills, while participatory methods in youth-led initiatives often aim to foster community connection and a sense of place. Unfortunately, these approaches typically exist in isolation within youth programming. This disconnect limits the potential to engage underrepresented youth in STEM by not linking spatial data to local contexts and culturally meaningful narratives. By combining these approaches, both technical learning and personal engagement could be enhanced, …

Best Practices For Hybrid Positive Youth Development Programming, William Wilton, Claudia Mincemoyer, Jill Lingard, Maria Walker

Journal of Youth Development

CLOVER by 4-H is an online learning platform that creates a space for youth to explore interactive learning experiences across a range of 4-H program areas. This article provides an overview of a pilot conducted around the implementation of CLOVER by 4-H to provide positive youth-development experiences in 4-H programming. As a result of the pilot, three distinct models for hybrid program delivery and a set of seven best practices for hybrid positive youth development have been identified. This article outlines the hybrid models that were examined and discusses the best practices for hybrid PYD with examples from the pilot …

Trauma Pascakelahiran Juga Terjadi Pada Ayah?, Akhmad Saputra Syarif, Joevarian Hudiyana

Jurnal Psikologi Sosial

This study aims to examine differences in perception and helping intention toward fathers (vs. mothers) experiencing postnatal trauma, as well as to explore the role of hegemonic masculinity and human nature framing in shaping such responses. Two experimental studies were conducted. Study 1 involved 67 participants using a within-subject design and independent t-test analysis. Study 2 included 215 participants using a mixed design (within and between-subjects) analyzed with mixed ANOVA.The results revealed that participants showed significantly higher intentions to help mothers compared to fathers experiencing postnatal trauma. This finding supports the assumption that hegemonic masculinity contributes to the perception that …