Digital Commons Network^™

A Novel Edge-Based Accuracy Assessment Framework For Target Detection From Remotely Sensed Images, Yingfan Zhang, Weiyi Hou, Lyndon Estes, Rui Lu, Shijie Zhu, Aiyin Zhang, Zhou Shi, Su Ye

Geography

Accuracy assessment is critical for evaluating map quality and improving algorithms for target detection in remotely sensed images. Traditional methods for assessing a target-detection task were often performed by estimating the relative pixels of correct and incorrect identifications (e.g., F1 score). However, this approach only considers the pixel-by-pixel agreement and ignores important aspects of positional errors and target object quality. To provide comprehensive diagnostic information, we propose a novel edge-based accuracy assessment framework. This framework firstly applied a newly proposed assessment tool, Dynamic Epsilon-band Accuracy Function (DEAF), which is a linear fitting function from a series of edge accuracies associated …

Nasa Earth Exchange HawaiʻI Downscaled Climate Projections Cmip6 (Nex-Hidcp-Cmip6) Dataset, Bridget Thrasher, Ian Brosnan, Abby Frazier, Kristen Sanflippo, Matthew P. Lucas

Geography

Hawaiʻi’s complex topography, pronounced microclimates, and geographic isolation make coarse-scale global climate model output inadequate for local planning, and high-resolution climate projections tailored to the state have until now been lacking. To address this gap, we introduce the NASA Earth eXchange Hawaiʻi Downscaled Climate Projections CMIP6 (NEX-HIDCP-CMIP6), a new archive of downscaled historical and future climate projections based on output from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) over the State of Hawaiʻi. The dataset covers the years 1950–2100 and includes three variables (maximum temperature, minimum temperature, and precipitation) from five CMIP6 experiments (the historical experiment and the …

Rural And Urban Availability Of Substance Use Treatment Facilities, Aaron P. Smith, Tyrone F. Borders

Rural & Underserved Health Research Center Publications

Overview of Key Findings

• Rural counties have higher per capita numbers of substance use disorder treatment facilities than urban counties on average, but also greater variability and large pockets of unmet need.

• The highest proportions of residents living in counties without any treatment facilities are concentrated in rural areas within the Midwestern and Southern United States.

• Rural and urban treatment facilities offer medications for opioid use disorder (MOUD) at similar rates, with inpatient facilities most likely to provide MOUD, followed by residential and outpatient settings.

Draft Final Butte Priority Soils Operable Unit Insufficiently Reclaimed Sites Temporary Best Management Practices Work Plan: Bres No. 16 – Curry And Bres No. 50 – Zelia, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Co-Creating The Garden With The Soil, Water, Plants, And Bees: Unsettling Gardening With A Different Axiology And Epistemology, Kathleen Cameron

Social Justice and Community Engagement Major Research Papers

No abstract provided.

Neoliberalism And The Crisis Of Hope: How Capitalist Culture Constrains The Aspirations Of Low-Income And Racialized Youth In Canada, Andrew Okingo

Social Justice and Community Engagement Major Research Papers

This Major Research Paper examines how neoliberalism shapes the aspirations, self-perceptions and imagined futures of low-income and racialized youth in Canada. Drawing on Critical Political Economy, Postcolonial Theory, Critical Race Theory, and Intersectionality, the study uses a qualitative semi-systematic literature review and an autoethnographic lens to critically examine how neoliberal ideologies influence young people’s experiences. The findings suggest that neoliberalism not only produces material conditions of economic and social precarity but also individualizes structural inequality, encouraging youth to interpret systemic barriers as personal failures. These processes can constrain aspirations and contribute to an erosion of hope when pathways toward desired …

Hyperadhesive Von Willebrand Factor Contributes To Pathogenesis Of Preeclampsia, Yajuan Wang, Chenyu Wang, Katie L Houck, Xiaoli Gao, Yuanyuan Chen, Xin Xu, Xue Zhao, Miguel A Cruz, Shu Zhang, Chester Q Li, Fengxia Xue, Min Li, Swati Shree, Jing-Fei Dong, Cha Han

Children’s Nutrition Research Center Staff Publications

Background: Preeclampsia is the most common complication of pregnancy, significantly affecting maternal and fetal health, and is characterized by placental and systemic endotheliopathy. Patients with preeclampsia have elevated levels of VWF (von Willebrand Factor), which is associated with poor clinical outcomes. However, whether VWF serves as a marker for endotheliopathy or contributes to the pathogenesis of preeclampsia remains poorly understood.

Methods: We investigated the role of hyperadhesive VWF in the development of preeclampsia by studying patients, evaluating mouse models, and performing in vitro experiments.

Results: We show that patients develop VWF- and fibrin-rich thrombosis in the placenta and have significantly …

Concerns With The Statistical Analysis In “Effect Of Combined Glp-1 Analogue And Bupropion/Naltrexone On Weight Loss: A Retrospective Cohort Study”, Thirupathi Reddy Mokalla, Henry T Robertson, Sherri Pals, David B Allison

Children’s Nutrition Research Center Staff Publications

No abstract provided.

All-Cause And Cause-Specific Mortality In Gambling Disorder: Evidence From A Nation-Wide Matched And Sibling Cohort Study In Taiwan, Yang-Chieh Brian Chen, Chih-Wei Hsu, Liang-Jen Wang, Mu-Hong Chen, Yao-Hsu Yang, Chih-Sung Liang, Edward Chia-Cheng Lai

Children’s Nutrition Research Center Staff Publications

Background and aims: Gambling disorder (GD) has been linked to suicidal ideation and suicide deaths; however, evidence on all-cause and cause-specific mortality-particularly in Asian populations-remains limited. Using a retrospective cohort study based on nationwide matched and sibling cohort, we investigated all-cause and cause-specific mortality risk in patients with GD.

Design, setting and participants: A retrospective cohort study was conducted using 2000-2022 data from Taiwan's National Health Insurance Research Database. A cohort of 961 individuals diagnosed with GD was identified. An age- and sex-matched control cohort (n = 3,844) and an unaffected sibling cohort (n = 675) were constructed. Cumulative survival …

A Multistate Analysis Of Longitudinal Care Outcomes Among People Newly Linked To Human Immunodeficiency Virus Care In Missouri, Aditi Ramakrishnan, Daniel Vo, Ernie-Paul Barrette, Rachel M Presti, William G Powderly, Anne Trolard, Corey Grejtak-Heaps, Elvin H Geng, Aaloke Mody, Lindsey M Filiatreau

2020-Current year OA Pubs

BACKGROUND: Advancing the HIV response in Missouri, an Ending the HIV Epidemic priority state, requires stronger characterization of treatment gaps. Routine cross-sectional reporting may fail to capture important gaps in care that longitudinal methods can reveal.

METHODS: We characterized clinic engagement and viral suppression among people with Human Immunodeficiency Virus (HIV) aged ≥18 years who were newly linked to clinic in St Louis, Missouri, between 1 January 2015 and 15 March 2020. Using multistate analytic methods that capture change over time, we estimated the prevalence of individuals in 9 mutually exclusive and exhaustive states over 3 years following linkage to …

Bayesian Variable Selection In High-Dimensional Ordinal Quantile Regression Models, Mai Dao, Md. Sakhawat Hossain, Zhuanzhuan Ma

School of Mathematical & Statistical Sciences Faculty Publications

Quantile regression (QR) provides a flexible statistical framework for modeling the entire conditional distribution of the response variable, making it useful for analysis in various fields. Despite its advantages, existing methods for QR often encounter numerical challenges in high-dimensional settings, especially for those with ordinal responses. In this paper, we use a latent-response framework to construct a Bayesian hierarchical model to conduct parameter estimation and variable selection for ordinal QR. Using the asymmetric Laplace working likelihood and the horseshoe prior for the regression coefficients, we obtain the posterior samples to be screened by the sequential two-means clustering process to identify …

A Finite Element Model To Analyze Crack-Tip Fields In A Transversely Isotropic Strain-Limiting Elastic Solid, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah

School of Mathematical & Statistical Sciences Faculty Publications

This paper presents a finite element model for the analysis of crack-tip fields in a transversely isotropic strain-limiting elastic body. A nonlinear constitutive relationship between stress and linearized strain characterizes the material response. This algebraically nonlinear relationship is critical as it mitigates the physically inconsistent strain singularities that arise at crack tips. These strain-limiting relationships ensure that strains remain bounded near the crack tip, representing a significant advancement in the formulation of boundary value problems (BVPs) within the context of first-order approximate constitutive models. For a transversely isotropic elastic material containing a crack, the equilibrium equation, derived from the balance …

Gender And Professional Identities In Businesswomen’S Negotiation, Chi-Ying Cheng, Amy J. Lim, Yi Wen Tan, Fiona Lee

Research Collection School of Social Sciences

Gender roles and expectations for women have been shown to account for why women tend to negotiate ineffectively in business settings. Drawing from the psychological literature on multiple identities, this paper examines how individual differences in perceived compatibility between gender and professional identities–captured by the construct Gender-Professional Identity Integration (G-PII)–shape businesswomen’s negotiation behaviors. Two studies examined how G-PII interacts with identity cues and cue valence to influence negotiation outcomes. We found that those who perceived their gender and professional identities as compatible (high G-PII) exhibited an “assimilation” effect–they negotiate more effectively when their professional identity was primed by professional identity …

Wevit: Weight-Entangled Vision Transformers With Class-Specific Attention For Weakly Supervised Semantic Segmentation, Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Shady Mohamed

Research outputs 2022 to 2026

Weakly Supervised Semantic Segmentation (WSSS) is a challenging task in computer vision, as it relies on limited supervision to generate precise object localization maps, often using Class Activation Maps (CAMs). Traditional methods struggle with balancing localization accuracy and scalability due to their reliance on fixed network architectures and handcrafted strategies. Neural Architecture Search (NAS), despite its proven success in optimizing network designs across tasks, has not yet been explored in WSSS due to the need for efficient weight sharing. To address these limitations, we propose WEViT, a novel framework that integrates NAS with transformers to optimize network architectures and generate …

Policy And Regulation In Virtual Power Plants Development, Hemlal Bhattarai, Aziz, Stefan Lachowicz

Research outputs 2022 to 2026

Electricity systems are changing due to the rapid deployment of distributed energy resources (DER), which also presents significant regulatory obstacles to their coordinated integration into energy markets and power grids. However, the majority of current material in publications concentrate on operational optimization and technical architectures, with little systematic synthesis of the legal and policy frameworks governing the deployment of VPP on a broad scale. To provide grid services, improve flexibility and support decarbonization objectives, virtual power plants (VPP) have become a crucial aggregation method. To close this gap, this research critically looks at the institutional roles, market structures, global policy …

Remote Assessment And Management Of Physical Function In Older Adults (Ramp): An International Expert Delphi Process, Jack Dalla Via, Hurst, Elsa Dent, Jackson J. Fyfe, Paul Jansons, Eleanor J. Hayes, Marc Sim, Mylene Aubertin-Leheudre, Alex Barreto De Lima, Lucimere Bohn, Sabine Britting, Fanny Buckinx, Gavin Connolly, Lora Giangregorio, Duarte Henriques-Neto, Jennifer R.A. Jones, Robert Kob, Suzanne N. Morin, Girish N, Lucas B.R. Orssatto, Maria Pearson, Daniel Pinto, Esmee M. Reijnierse, Catherine M. Said, Mohamed Salem, Gary Skinner

Research outputs 2022 to 2026

Background: Remote methods may help older adults improve their physical function, but understanding the perspectives of experts who deliver this care is critical. This modified Delphi process aimed to develop expert consensus on effectiveness, feasibility and implementation of remote assessment and management of physical function in older adults. Methods: This online Delphi process included experts involved in supporting older adults to maintain or improve their health. The Round 1 survey presented 33 Delphi statements assessed using an 11-point Likert scale (0–10; ≥7 indicated agreement). Statements with strong (≥80 %), moderate (50–<80 %) and low (<50 %) agreement were accepted, revised, or rejected, respectively. Revised statements were presented in Round 2, and accepted statements were consolidated into key messages. Results: In total, 108 respondents (67 % female; mean [SD] age 41.4 [10.9] years) from 16 countries (five continents) completed Round 1. Fourteen statements were accepted (88–100 % agreement) and 10 were rejected (8–39 % agreement). The remaining nine statements (52–69 % agreement) were revised, and two new statements were developed for Round 2, which was completed by 89 (82 %) respondents. Five Round 2 statements were accepted (82–93 % agreement). Seven key messages were developed from 19 accepted statements, highlighting that remote care should be accessible to older adults with requisite capabilities, is feasible for older adults and health professionals with adequate support and training, and requires guidelines, policies, and further research to support wider adoption. Conclusions: The findings of this Delphi process can inform the implementation of remote care approaches for assessing and managing physical function in older adults.

Characterising Manual Dexterity, Motor Cortex Neuroplasticity, And Intracortical Inhibition Long After Burn Injury, Grant S. Rowe, Alecia Wood, Mark Fear, Dale W. Edgar, Aleksandra Miljevic, Tyler Osborne, Natalie Morellini, Merrilee Needham, Ann Maree Vallence, Fiona Wood

Research outputs 2022 to 2026

Purpose: Persistent motor dysfunction after burn injury may be due to altered motor cortex and corticospinal tract function. This study examined manual dexterity, motor cortex neuroplasticity, and intracortical inhibition in former burn patients 1–3 years after minor injury (<10% TBSA). Method: Thirty former burn patients (TBSA: 0.78 ± 1.08%) and 30 non-injured controls participated. Manual dexterity was assessed using the Purdue Pegboard. Transcranial magnetic stimulation (TMS) was used to measure motor cortex excitability (motor evoked potential [MEP] amplitude) and short- and long-interval intracortical inhibition (SICI, LICI) before and after paired-associative stimulation (PAS) to induce neuroplasticity. Results: Former burn patients performed worse than controls on the bimanual assembly subtest of the Purdue Pegboard. PAS did not induce changes in MEP amplitude but increased LICI in both burn patients and control participants. In burn patients, baseline LICI was related to bimanual performance differently than controls. Conclusions: These findings suggest poorer bimanual motor function persists after minor burns, and differences in the association between inhibition and bimanual dexterity between burn and control groups. Further research should explore whether targeting motor cortex inhibitory circuits can improve motor performance following burn injury

Towards Confucian Economic Democracy: A Relational Alternative To Possessive Individualism, Sor-Hoon Tan

Research Collection School of Social Sciences

This article offers a Confucian conception of ownership and a different approach to equality based on a concept of relational person that could provide an alternative philosophical framework for economic democracy. The Confucian concept of nonexclusive and nonabsolute co-ownership, conditional on owners fulfilling their social responsibilities and sustained in networks of relationships mitigates the drive to appropriation and resistance to redistribution even without formalizing legal rights of equal ownership. Confucian texts’ condemnation of wide disparities between rich and poor corresponds with distributive ideas that balance equal satisfaction of needs with merit-based incentives for productivity constrained by social harmony. Without advocating …

Global Prevalence Of Depression Among University Students: A Comprehensive Umbrella Review, Gilda Yun Kai Sam, Xun Ci Soh, Harshitha Balaji, Gabriel X. D. Tan, Shu Fen Diong, Meilan Hu, Andree Hartanto, Nadyanna M. Majeed

Research Collection School of Social Sciences

Depression has become a major concern for educational institutes due to its increasing incidence and detrimental impacts on students’ well-being. However, its global prevalence in the context of tertiary education remains unclear. This umbrella review summarised existing meta-analyses and systematic reviews to examine the worldwide prevalence of depression among university students. Several sociodemographic and methodological factors, including differences in depression prevalence before, during, and after COVID-19, were examined as moderators. Structured and exhaustive searches were conducted in five bibliographic databases and five journals, alongside two sources of grey literature. A total of 61 meta-analyses and systematic reviews were included in …

When The Best-Fit Model Is Not Best: The Glass Slipper Fallacy And Latent Growth Mixture Modelling, Jonathan L. Chia, Markus Wettstein, Andree Hartanto

Research Collection School of Social Sciences

Despite the use of latent growth mixture modelling (LGMM) to study longitudinal changes, existing practices may inadvertently impede this very investigation. Although subgroup trajectories may theoretically differ in their structure (e.g., some subgroups being linear, some curvilinear), the current convention advocates overreliance on the baseline model to derive subsequent profile trajectories, which may obscure these structural differences. In this article, we provide a brief description of extant LGMM practices, after which we explicate the pitfalls of the current approach. Finally, we provide a principled approach for LGMM research moving forward. Specifically, we recommend specifying a set of theoretically plausible models …

Artificial Intelligence (Ai) In Forensic Psychology: An Umbrella Review Of Potentials And Pitfalls, Ysabel Thereze Ang Guevarra, Nur Eva Alisha Binte Mohamed Hisham, Andree Hartanto

Research Collection School of Social Sciences

Artificial intelligence (AI) is becoming increasingly embedded within forensic psychological practice, shaping how criminal risk, legal responsibility and public safety are assessed. AI tools are now used in recidivism prediction, behavioural analysis, deception detection and investigative support, high-stakes domains where errors can have profound consequences. Despite this rapid adoption, the existing literature remains fragmented, with most reviews confined to narrow subdomains and offering limited integrated synthesis of AI′s broader role in forensic psychology. Thus, this umbrella review addresses this gap by synthesising findings from 43 reviews obtained from five major databases, namely EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus and Web …

Caring With Ai: The Efficacy Of A Customised Chatgpt-Delivered Self-Compassion Intervention On College Students' Well-Being And Academic Functioning, Tracy Xi Chen, Chi-Ying Cheng, Andree Hartanto

Research Collection School of Social Sciences

College students face various challenges, including academic pressure, social stress, and the transition into adulthood, which can lead to increased anxiety and other mental health issues. By recognizing personal struggles as part of a shared human experience and responding with kindness, self-compassion serves as a powerful strategy for enhancing resilience, facilitating better well-being and performance outcomes. Although effective, Compassion-Focused Therapy often requires substantial resources and time, limiting its applicability to college students. To overcome these barriers, the current study designed and evaluated Your Self-Compassion Companion, a ChatGPT-powered AI chatbot intervention grounded in self-compassion theory and delivered over three weekly 20-min …

Transnational Social Protections And The Market: Seeking Support From The Global Cruise Industry, Yasmin Y. Ortiga

Research Collection School of Social Sciences

Migration studies have mostly portrayed employers as paternalistic or exploitative, creating the very conditions that make migrants’ lives insecure and unstable. This paper challenges this view by showing how the market can also be an unlikely source of protections, where extractive work conditions co-exist with a certain degree of social support. Drawing on interviews with 45 Filipino cruise workers during the COVID-19 pandemic, I discuss how migrants used a logic of employee rights to claim benefits such as food, housing and insurance. Cruise lines willingly provided such protections, but only while workers maintained active contracts onboard their ships. Rather than …

Llm-Based Early Rumor Detection With Imitation Agent, Fengzhu Zeng, Qian Shao, Ling Cheng, Wei Gao, Shih-Fen Cheng, Jing Ma, Cheng Niu

Research Collection School Of Computing and Information Systems

Early Rumor Detection (EARD) aims to identify the earliest point at which a claim can be accurately classified based on a sequence of social media posts. This is especially challenging in data-scarce settings. While Large Language Models (LLMs) perform well in few-shot NLP tasks, they are not well-suited for time-series data and are computationally expensive for both training and inference. In this work, we propose a novel EARD framework that combines an autonomous agent and an LLM-based detection model, where the agent acts as a reliable decision-maker for \textit{early time point determination}, while the LLM serves as a powerful \textit{rumor …

Definitions And Mathematical Models Of Op Variants, Pieter Vansteenwegen, Aldy Gunawan

Research Collection School Of Computing and Information Systems

We have described the basic orienteering problem (OP) in Chap. 2, as one known variant of the single vehicle routing problems with profits (VRPP). In this chapter, we introduce the best-known variants of the OP. The first one is the team orienteering problem (TOP). In the TOP multiple routes can be composed to visit a subset of customers. In the context of the game of orienteering, the TOP corresponds to several players of the same team, each collecting profits in parallel, during the same time span. Another well-known variant of the basic OP is the OP with time windows (OPTW), …

Efficient Test-Time Retrieval Augmented Generation, Hailong Yin, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Although Large Language Models (LLMs) demonstrate significant capabilities, their reliance on parametric knowledge often leads to inaccuracies. Retrieval Augmented Generation (RAG) mitigates this by incorporating external knowledge, but these methods may introduce irrelevant retrieved documents, leading to inaccurate responses. While the integration methods filter out incorrect answers from multiple responses, but lack external knowledge like RAG methods, and their high costs require balancing overhead with performance gains. To address these issues, we propose an Efficient Test-Time Retrieval-Augmented Generation Framework named ET2RAG to improve the performance of LLMs while maintaining efficiency. Specifically, ET2RAG is a training-free method, that first retrieves the …

When Work Is Not Enough: Food Insecurity Among Employed Latinos Receiving Snap In Massachusetts And The Burden Carried By Latina Women, Phillip Granberry, Rafael M. Pérez Medina, Florita Coto Tristán

Gastón Institute Publications

Across Massachusetts, many SNAP recipients are workers, caregivers, parents, elders, people with disabilities, and families navigating low wages, unstable work schedules, high housing costs, and limited access to wealth building opportunities. Many of these workers held jobs that were labeled “essential” during the COVID-19 pandemic: food service, caregiving, cleaning, healthcare support, retail, transportation, construction, and other service sector jobs. Yet the public recognition of their essential labor has not been translated into adequate wages, benefits, or economic security.

August 2026 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Understanding What Works In Disseminating Clinical Practice Guidelines: A Qualitative Evidence Synthesis, Sumanth Kumbargere Nagraj, Tandekile Lubelwana Hafver, Valerie Reinthaler, Stijn Van De Velde, Carlos Zaror, Yan Jiao Shen, Susan Banda, Talitha Mpando, Gertrude Kunje, Suzgika Lakudzala, Ameer Hohlfeld, Emmanuel Effa, Denny Mabetha, Thomas Agoritsas, Per Olav Vandvik, Nicolas Delvaux

Peninsula Dental School

Objective To identify the barriers and facilitators that influence the dissemination of clinical practice guidelines (CPGs) and to explore the perceived usefulness, practical utility, expectations, and unmet needs of end users in relation to current dissemination strategies. Methods This qualitative evidence synthesis (QES) is a part of mixed-methods evidence synthesis. We searched literature from MEDLINE, Embase, CINAHL, Web of Science, Scopus, Epistemonikos, and Agency for Healthcare Research and Quality and Medical Guidelines Clearing house on January 30, 2025. Screening, data extraction and quality appraisal of the included studies were done by at least two authors independently and in duplicate. We …

Attraction Of Nocturnal Scarab Beetles By Unusual Floral Volatiles In A Banksia (Proteaceae) With Functionally Diverse Pollinators, S. K. Wawrzyczek, B. Bohman, S. L. Krauss, I. M. Butler, G. R. Flematti, K. Farnier, S. E. Hoebee, R. A. Davis, R. D. Phillips

Research outputs 2022 to 2026

Pollination by beetles has evolved multiple times in flowering plants but with relatively few plant species adapted specifically to pollination by scarab beetles (Coleoptera: Scarabaeidae). However, some plant species may produce floral scents and offer floral rewards that attract scarabs alongside other pollinator functional groups. In Banksia attenuata (Proteaceae), nocturnal observations led to the discovery of extensive floral visitation by beetles, alongside birds, mammals and diurnal insects. Given the distinctive melon-like floral scent of B. attenuata, we predicted long-distance attraction of beetles by chemical cues. We undertook floral visitor surveys aided by camera traps and video recordings, and quantified insect …