Digital Commons Network^™

Torment, Caitlin Andrejova

Gandy Dancer Archives

Medium: oil on canvas

Seagull Motif (Violet And Green), Jesse Curran

Gandy Dancer Archives

No abstract provided.

Interview With Sarah Cedeño, Sonia Horowitz

Gandy Dancer Archives

No abstract provided.

Rapid Evidence Review: Terror Incidents And Perceived Terrorism Risks At Events, Tin L. Nguyen, Callie Vitro, Sarah Schappert, Allison E. Munderloh, Erin M. Kearns

Reports, Projects, and Research

Since the 1972 Munich Olympics, mass gatherings for sport, music, and other entertainment have been viewed as highly vulnerable, culturally significant targets for terrorist attacks. Although research on the enactment and implications of terrorism have become more commonplace, comparatively little research has examined terrorism in the context of organized gatherings and the event venues which host them. Through a rapid evidence review, we summarize empirical research on (a) international incidents of terrorism and (b) perceived terrorism risks at large-scale public events and event venues, as well as (c) their psychological, behavioral, and social/news media effects. This research brief is intended …

Acculturation, Values, And Acculturative Stress For Autistic Latino Emerging Adults And Spanish-Speaking Parents Participating In The ¡Iniciando! La Adultez Program, Antonio F. Pagán, Miriam Ortiz, Erin Bernal, Katherine A. Loveland, Ana Esparza, Cecilia Montiel-Nava, Ron Acierno

Psychological Science Faculty Publications

Latino families with emerging adults diagnosed with Autism Spectrum Disorder (ASD) face unique challenges during the transition to adulthood, influenced by cultural values, acculturation, and systemic barriers. Acculturation and acculturative stress are particularly relevant in this population, as they navigate cultural adaptation while maintaining traditional values like familismo (family) and respeto (respect). These dynamics are further complicated by disparities in access to resources and culturally responsive interventions. This study explores the interplay of cultural values, acculturation, and acculturative stress among Latino emerging adults with ASD and their Spanish-speaking parents participating in a culturally adapted and translated intervention. Using a cross-sectional …

Interpersonal Communication: A Mindful Approach To Relationships 2nd Edition, Jason S. Wrench, Narissra M. Punyanunt-Carter, Katherine S, Thweatt

Milne Open Textbooks

Interpersonal communication is the way we connect with others. Whether engaging with a spouse, a coworker, a close friend, or a stranger, our daily lives are defined by the messages we send and receive. Interpersonal Communication guides students through the complex landscape of human interaction, helping them navigate relationships in the twenty-first century.

A Mindful Perspective

What distinguishes this textbook is its integration of mindfulness into the study of communication. Moving beyond simple skills training, the text encourages students to engage in mindful awareness and mindful practice. By learning to be fully present, open, and non-judgmental, students develop the …

Predicting Five-Year Comorbid Bipolar Disorder After Attention-Deficit/Hyperactivity Disorder Diagnosis: A Population-Based Machine Learning Approach, Yen-Shan Yang, Chih-Wei Hsu, Liang-Jen Wang, Kuo-Chuan Hung, Yang-Chieh Brian Chen, Chih-Sung Liang, Mu-Hong Chen

Children’s Nutrition Research Center Staff Publications

Background

Early detection and accurate prediction of bipolar disorders (BDs) comorbidity in individuals with attention-deficit/hyperactivity disorder (ADHD) are clinically critical. This study used machine-learning methods to identify features predictive of subsequent BD among patients initially diagnosed with ADHD.

Methods

We analyzed claims from the Taiwan National Health Insurance Research Database (2000–2013) and included patients aged ≥ 12 years with at least two diagnoses of ADHD. Predictor features included demographics (sex, age at ADHD onset), healthcare utilization (psychiatric outpatient visit counts), comorbidities (International Classification of Diseases–coded diagnoses), psychiatric medications (Anatomical Therapeutic Chemical–coded prescriptions), and family psychiatric history. All features were extracted …

A Class Of Benzofuranoindoline-Bearing Heptacyclic Fungal Ripps With Anticancer Activities, Qiuyue Nie, Fanglong Zhao, Xuerong Yu, Mithun C Madhusudhanan, Caleb Chang, Siting Li, Sandipan Roy Chowdhury, Bryce Kille, Andy Xu, Rory Sharkey, Chunxiao Sun, Hongzhi Zeng, Shuai Liu, Dishu Zhou, Xin Yu, Kevin Yang, Sandra A C Figueiredo, Maria Zotova, Zichen Hu, Alan Y Du, Dongyin Guan, Rui Tang, Todd Treangen, Jin Wang, Pedro N Leão, Yang Gao, Junjie Chen, Peng Liu, Hans Renata, Xue Gao

Children’s Nutrition Research Center Staff Publications

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a promising source of new pharmaceuticals, yet the therapeutic potential of fungal RiPPs remains largely underexplored. Here, we report asperigimycins as a distinct class of fungal RiPPs, featuring a unique heptacyclic scaffold consisting of a benzofuranoindoline core and three additional macrocycles, primarily assembled by six distinct fungi-specific DUF3328 oxidases. Inspired by the enhancement of anticancer activity through the N-terminal pyroglutamate in naturally occurring asperigimycins C and D, we chemically modify the inactive asperigimycin B with a series of lipid substitutions at its N-terminus. A derivative with a C-11 linear fatty …

Not So Firmly Settled: How The Inconsistent Jurisprudence Of The Firm Resettlement Bar Serves As A Tool For Asylum Seeker Exclusion, Caroline V. Garrido

Fordham Law Review

The firm resettlement bar to asylum, designed to limit protections to those without refuge elsewhere, has become a source of inconsistency, confusion, and exclusion in U.S. asylum law. Circuit courts have adopted two different approaches for determining whether an asylum seeker has firmly resettled in a third country. Despite the Board of Immigration Appeals’ attempt to unify these approaches through the introduction of a burden-shifting framework, courts remain divided, and there is no clear guidance on what constitutes firm resettlement. This Note argues that this lack of guidance has led to inconsistent court holdings and interpretations that conflict with the …

Red, White-, And Blue-Collar Crime: Federal Sentencing Practices Among White-Collar And Blue-Collar Offenders, Henna Judge

Fordham Law Review

Under the current federal sentencing regime, district courts exercise immense amounts of discretion when sentencing. Though strict adherence to the U.S. Sentencing Commission Guidelines (the “Guidelines”) was once mandatory, courts must now use these Guidelines as an advisory starting point and make a series of fact-specific determinations when sentencing a defendant. Though judicial discretion in this realm aids in preventing undue reliance on Guidelines-range recommendations that can lack nuance, it also invites bias.

In recent years, scholars and courts alike have called attention to a potential disparity in the way blue-collar and white-collar offenders are sentenced. This Note examines relevant …

A Cultural Identity Approach To The Generational Divide, Davelle Lee, Andree Hartanto

Research Collection School of Social Sciences

Some scholars have argued strongly against the idea that differences between generations are responsible for intergenerational conflict, calling for organisations and policymakers to do away with the notion of generations altogether. The current review argues that generations are an important social identity and makes the case for why generational identity should inform policy, despite inconsistent empirical evidence for generational differences. Drawing on cultural psychology and social identity theory, we find parallels between how racial and ethnic identities shape how people interpret and respond to racial diversity and so-called racial and ethnic “differences”, and how generational identity influences people's attitudes and …

Social Expectancies To Be Constantly Available And Productive As Antecedents And Consequences Of Burnout: A Longitudinal Bidirectional Investigation, Andree Hartanto, Meilan Hu, Adalia Y. H. Goh, Eddie M. W. Tong

Research Collection School of Social Sciences

Burnout has become increasingly prevalent in contemporary society, affecting not only those in the workplace but also students across various educational settings. The current study investigates whether the pervasive social expectancies to be constantly available and productive contribute to the onset and maintenance of academic burnout among university students. Using a 13-week longitudinal design and a random-intercept cross-lagged panel model, we examined the bidirectional association between social expectancies to be constantly available and productive and academic burnout. Our findings indicate that heightened social expectancies predict increases in emotional exhaustion and feelings of inadequacy in the following week. Furthermore, emotional exhaustion, …

Sopo: Text-To-Motion Generation Using Semi-Online Preference Optimization, Xiaofeng Tan, Hongsong Wang, Xin Geng, Pan Zhou

Research Collection School Of Computing and Information Systems

Text-to-motion generation is essential for advancing the creative industry but often presents challenges in producing consistent, realistic motions. To address this, we focus on fine-tuning text-to-motion models to consistently favor highquality, human-preferred motions—a critical yet largely unexplored problem. In this work, we theoretically investigate the DPO under both online and offline settings, and reveal their respective limitation: overfitting in offline DPO, and biased sampling in online DPO. Building on our theoretical insights, we introduce Semi-online Preference Optimization (SoPo), a DPO-based method for training text-to-motion models using “semi-online” data pair, consisting of unpreferred motion from online distribution and preferred motion in …

Uniteformer: Unifying Node And Edge Modalities In Transformers For Vehicle Routing Problem, Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou

Research Collection School Of Computing and Information Systems

Neural solvers for the Vehicle Routing Problem (VRP) have typically relied on either node or edge inputs, limiting their flexibility and generalization in real-world scenarios. We propose UniteFormer, a unified neural solver that supports node-only, edge-only, and hybrid input types through a single model trained via joint edge-node modalities. UniteFormer introduces: (1) a mixed encoder that integrates graph convolutional networks and attention mechanisms to collaboratively process node and edge features, capturing cross-modal interactions between them; and (2) a parallel decoder enhanced with query mapping and a feed-forward layer for improved representation. The model is trained with REINFORCE by randomly sampling …

Multi-Task Vehicle Routing Solver Via Mixture Of Specialized Experts Under State-Decomposable Mdp, Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin

Research Collection School Of Computing and Information Systems

Existing neural methods for multi-task vehicle routing problems (VRPs) typically learn unified solvers to handle multiple constraints simultaneously. However, they often underutilize the compositional structure of VRP variants, each derivable from a common set of basis VRP variants. This critical oversight causes unified solvers to miss out the potential benefits of basis solvers, each specialized for a basis VRP variant. To overcome this limitation, we propose a framework that enables unified solvers to perceive the shared-component nature across VRP variants by proactively reusing basis solvers, while mitigating the exponential growth of trained neural solvers. Specifically, we introduce a State-Decomposable MDP …

Learning Memory-Enhanced Improvement Heuristics For Flexible Job Shop Scheduling, Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, Yubin Xiao, Yuan Jiang, You Zhou

Research Collection School Of Computing and Information Systems

The rise of smart manufacturing under Industry 4.0 introduces mass customization and dynamic production, demanding more advanced and flexible scheduling techniques. The flexible job-shop scheduling problem (FJSP) has attracted significant attention due to its complex constraints and strong alignment with real-world production scenarios. Current deep reinforcement learning (DRL)-based approaches to FJSP predominantly employ constructive methods. While effective, they often fall short of reaching (near-)optimal solutions. In contrast, improvement-based methods iteratively explore the neighborhood of initial solutions and are more effective in approaching optimality. However, the flexible machine allocation in FJSP poses significant challenges to the application of this framework, including …

Instance-Level Video Depth In Groups Beyond Occlusions, Yuan Liang, Yang Zhou, Ziming Sun, Tianyi Xiang, Guiqing Li, Shengfeng He

Research Collection School Of Computing and Information Systems

Depth estimation in dynamic, multi-object scenes remains a major challenge, especially under severe occlusions. Existing monocular models, including foundation models, struggle with instance-wise depth consistency due to their reliance on global regression. We tackle this problem from two key aspects: data and methodology. First, we introduce the Group Instance Depth (GID) dataset, the first large-scale video depth dataset with instance-level annotations, featuring 101,500 frames from real-world activity scenes. GID bridges the gap between synthetic and real-world depth data by providing high-fidelity depth supervision for multi-object interactions. Second, we propose InstanceDepth, the first occlusion-aware depth estimation framework for multi-object environments. Our …

Robust Hallucination Detection In Llms Via Adaptive Token Selection, Mengjia Niu, Hamed Haddadi, Guansong Pang

Research Collection School Of Computing and Information Systems

Hallucinations in large language models (LLMs) pose significant safety concerns that impede their broader deployment. Recent research in hallucination detection has demonstrated that LLMs’ internal representations contain truthfulness hints, which can be harnessed for detector training. However, the performance of these detectors is heavily dependent on the internal representations of predetermined tokens, fluctuating considerably when working on free-form generations with varying lengths and sparse distributions of hallucinated entities. To address this, we propose HaMI, a novel approach that enables robust detection of hallucinations through adaptive selection and learning of critical tokens that are most indicative of hallucinations. We achieve this …

Sempo: Lightweight Foundation Models For Time Series Forecasting, Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhengdong Niu, Guansong Pang

Research Collection School Of Computing and Information Systems

The recent boom of large pre-trained models witnesses remarkable success in developing foundation models (FMs) for time series forecasting. Despite impressive performance across diverse downstream forecasting tasks, existing time series FMs possess massive network architectures and require substantial pre-training on large-scale datasets, which significantly hinders their deployment in resource-constrained environments. In response to this growing tension between versatility and affordability, we propose SEMPO, a novel lightweight foundation model that requires pretraining on relatively small-scale data, yet exhibits strong general time series forecasting. Concretely, SEMPO comprises two key modules: 1) energy-aware SpEctral decomposition module, that substantially improves the utilization of pre-training …

General Test-Time Backdoor Detection In Split Neural Network-Based Vertical Federated Learning, Shunjie Yuan, Xinghua Li, Xuelin Cao, Haiyan Zhang, Robert H. Deng

Research Collection School Of Computing and Information Systems

As a new distributed machine learning framework, vertical federated learning (VFL) has been widely applied in the industry. However, recent studies have demonstrated that VFL faces serious challenges from backdoor attacks, which significantly hinder its further development. Although a few studies have focused on defending against VFL backdoor attacks, these defenses either do not consider the latest attack methods or show limited effectiveness. Moreover, most existing backdoor defense efforts primarily focus on backdoor attacks in horizontal federated learning (HFL) and centralized learning. Due to the unique architecture of VFL models, these methods cannot be directly applied to backdoor defense in …

Kpiroot+: An Efficient Integrated Framework For Anomaly Detection And Root Cause Analysis In Large-Scale Cloud Systems, Wenwei Gu, Renyi Zhong, Guangba Yu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu

Research Collection School Of Computing and Information Systems

To ensure the reliability of cloud systems, their runtime status reflecting the service quality is periodically monitored with monitoring metrics, i.e., KPIs (key performance indicators). When performance issues happen, root cause localization pinpoints the specific KPIs that are responsible for the degradation of overall service quality, facilitating prompt problem diagnosis and resolution. To this end, existing methods generally locate root-cause KPIs by identifying the KPIs that exhibit a similar anomalous trend to the overall service performance. While straightforward, solely relying on the similarity calculation may be ineffective when dealing with cloud systems with complicated interdependent services. Recent deep learning-based methods …

Towards Inclusive Digital Futures Of Cultural Heritage: Insights From A Critical Discourse Analysis Of Unesco Dialogues, Shiqing Huang, Keng Siau, Xiaoting Chen

Research Collection School Of Computing and Information Systems

Digital technologies are shaping many aspects of cultural heritage, but very little research has examined the implications of digital transformation. Drawing on concepts from Fairclough’s three-dimensional critical discourse analysis, this research examines the discourse using seven online dialogues (available on the UNESCO website) between 18 professionals who have different backgrounds and cultures to identify social practices related to the digital transformation of cultural heritage. We identify four digital transformation discourse types in professional dialogues: documentation, management, interpretation, and interaction. We also identify seven main groups: memory institutions including libraries, archives, and museums (LAMs), governments, international organizations, art and creative supporters, …

December 2025 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Reported Value Of Culturally Responsive Teaching Practices Of Virginia Agricultural Education Teachers, Natalie K. Ferand, Kendrick Spencer, Bradley Bowen

Journal of Research in Technical Careers

To address the increasing diversity in schools and the monolithic culture of teachers, researchers have called for pedagogies that reflect the diverse and pluralistic identities of students. While core academic areas have long adopted culturally relevant pedagogy, school-based agricultural education (SBAE) has lagged behind. This study aimed to determine the views of agricultural education teachers in Virginia on culturally responsive pedagogy dispositions and identify areas of professional development need. Teachers valued the differences among students and the communities in which their schools are located. However, results revealed a need for professional development in using the local community as a resource …

Online Experiential Learning In Career And Technical Education, Matthew Bornak

Journal of Research in Technical Careers

This scoping review investigates the integration of OEL into Career and Technical Education (CTE) programs. Using Arksey and O’Malley’s five-step scoping review framework, articles were identified through ERIC and Google Scholar and managed in Zotero. MAXQDA was used for coding, revealing thematic clusters related to modalities (synchronous, asynchronous, hybrid), technologies (LMS, AR/VR, simulation tools), and learner characteristics (nontraditional students, CTE-specific learning styles). The review highlights the conceptual anchors of Kolb’s Experiential Learning Theory, Carver et al.’s Experiential E-Learning Model, and Baasanjav’s online experiential design. Findings reveal that while OEL in CTE remains underexplored, it offers potential to increase accessibility, inclusivity, …

Naam, Amna Haider

Graduate Thesis Collection

This thesis is a collection of short stories that blends realism, speculative fiction, and South Asian folklore to examine how identity is negotiated through belief, culture, and survival across borders. The stories center characters who must continually interpret the worlds they inhabit in order to sustain self identity. Names in this collection function as sites of power and vulnerability: they are inherited, altered and concealed, shaping how characters are seen and how they see themselves. Alongside names, the supernatural and myth emerges not only as metaphors, but as lived forces, drawing from Islamic folklore and mythic traditions to articulate experiences …

Itadakimasu: Recipes From Japanese American Internment Camps, Alexander K. Nishida

Graphic Communication

This project presents a historical narrative told through the format of a cookbook, exploring the relationship between food, memory, and resilience during the Japanese American Internment of World War II. Using primary resources such as news publications from within the camps (Topaz Times,1943), historical interviews (Herzig, 1994), and secondary resources from an archival podcast (Campu, 2021) to highlight how food served as both a means of survival and an expression of identity under confinement.

The cookbook will combine recipes inspired by documented internment-era meals with stories and reflections gathered from interviews, archival materials, and community voices. Each section will contextualize …

Beyond The Mozart Effect: How Musical Experience And Emotional Response Shape Individual Differences In Spatial Reasoning, Connor Watkinson

Theses

Research on the Mozart effect (the short-term enhancement of spatial-temporal reasoning after music listening) has yielded inconsistent results, often due to overlooking individual differences and using limited stimuli. This study examined multiple musical conditions (popular lyrical, classical, and white noise control) while considering the moderating roles of musical experience and the mediating influence of emotional responses. Undergraduate participants (N = 162) completed spatial reasoning assessments before and after an eight-minute listening session, alongside measures of musical background, listening habits, mood, and music-evoked emotions.Analyses revealed no overall difference in spatial reasoning improvement between music and white noise conditions. However, substantial individual …

The Role Of Sex And Genetic Background In Early Life Stress Effects On Locus Coeruleus Physiology And Related Cognitive And Affective Behaviors, Savannah Grace Brannan

Dissertations

Adverse Childhood Experiences (ACEs) have been associated with many neurodevelopmental and affective disorders, including attention deficit hyperactivity disorder (ADHD) and generalized anxiety disorder (GAD), with more exposures increasing negative risks. Sex and genetic background are biological variables involved in adverse psychiatric outcomes due to ACE exposure(s). Few preclinical studies have properly powered each sex to determine the interaction between sex and genetics on stress-impacting behavior, especially in early life. Females generally have an increased prevalence of stress-related psychopathologies beginning after adolescence, indicative of the adolescent time period as a female-specific sensitive period. To understand the underlying neuronal components responsible for …

Action Research: Improving Literacy With Tracker Systems For Students With An Iep, Annamaria Weigel

Graduate Student Dissertations, Theses, Capstones, and Portfolios

This action research study examined the effectiveness of the Prescribed Tracker System and structured literacy instruction on improving reading proficiency among elementary students with individualized education programs. The purpose of the study was to determine whether systematic phonics instruction, combined with data-driven progress monitoring, could increase decoding accuracy and oral reading fluency for students performing below grade level. The research was grounded in the science of reading framework and zone of proximal development, emphasizing explicit instruction, guided practice, and scaffolded learning within a supportive environment.

Five students in Grades 3 through 5 participated in a 6-week intervention, conducted twice a …