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Neuroticism Predicts Constructive Conflict Resolution Styles In Conscientious Individuals: Evidence From Self-Reports And Observer Ratings, Frosch Yi Xuan Quek, Hwajin Yang, Andree Hartanto Jun 2025

Neuroticism Predicts Constructive Conflict Resolution Styles In Conscientious Individuals: Evidence From Self-Reports And Observer Ratings, Frosch Yi Xuan Quek, Hwajin Yang, Andree Hartanto

Research Collection School of Social Sciences

The ability to resolve conflict is crucial for maintaining healthy relationships and psychological well-being. However, prior research has often overlooked the potential benefits of neuroticism for conflict resolution styles, due to a reliance on self-report measures and the lack of consideration of healthy neuroticism. This study examined the relationship between neuroticism and conflict resolution styles and highlights the pivotal role of conscientiousness and measurement modalities. Employing both self-reports and observer ratings of the Conflict Resolution Styles Inventory (CRSI), we analyzed data from young adults (N = 259) using structural equation modeling analysis. Self-reports indicated that neuroticism was associated with unconstructive …

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Higher Education Is Under Siege: It Needs To Reinvent Itself, Lily Kong Jun 2025

Higher Education Is Under Siege: It Needs To Reinvent Itself, Lily Kong

Research Collection School of Social Sciences

In an op-ed for The Straits Times, SMU President Professor Lily Kong reflects on the urgent need for universities to respond to the growing convergence of pressures facing higher education – including political scrutiny, funding constraints, technological disruption, and public scepticism. She calls for a reimagining of the university’s purpose: one that moves beyond knowledge acquisition and employment outcomes to embrace holistic student development, lifelong learning, and social relevance. Highlighting the importance of resilience, self-awareness, and adaptability, Prof Kong emphasises that learning happens as much outside the classroom as within it – through mentoring, community engagement, reflection, and lived experience. …

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‘Workism’ Isn’T The Enemy, Matthew Hammerton Jun 2025

‘Workism’ Isn’T The Enemy, Matthew Hammerton

Research Collection School of Social Sciences

In a commentary, SMU Associate Professor of Philosophy Matthew Hammerton opined that "workism" – finding meaning and identity in one’s job – should not be dismissed outright. He distinguished it from "statusism," which ties self-worth to social hierarchy and often leads to competition and misplaced values. In contrast, non-competitive workism can promote collaboration and meaningful engagement. While acknowledging concerns that workism may lead to imbalance or risk, he cautioned against pathologising the choice of those who derive deep fulfilment from their work.

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Built Environment And Public Electric Vehicle Charging: An Investigation Using Poi Data And Computer Vision, Junfeng Jiao, Seung Jun Choi Jun 2025

Built Environment And Public Electric Vehicle Charging: An Investigation Using Poi Data And Computer Vision, Junfeng Jiao, Seung Jun Choi

Research Collection College of Integrative Studies

Public electric vehicle charging stations (EVCSs) are vital for boosting EV adoption. This study investigates Seoul’s public EV charging patterns, taking into account the surrounding urban built environment. We collected built-environment data from land-use maps, Point of Interest (POI) data, and panorama images near public EVCS. The computer-vision technique was used to extract scene features from panorama images. We conducted a spatiotemporal analysis of public EVCS usage. The built-environment factors underwent dimensionality reduction and were assessed for outliers. Descriptive analysis revealed afternoon peak charging times and variations between chargers. Additional peaks are observed in the weekday late evening for chargers …

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Assessing Equity In Heat Mitigation Ecosystem Services Of Urban Green Space In Singapore, Ronghua Xu, Perrine Hamel, Youu Ming, Aikeen Lim, Tingting He Jun 2025

Assessing Equity In Heat Mitigation Ecosystem Services Of Urban Green Space In Singapore, Ronghua Xu, Perrine Hamel, Youu Ming, Aikeen Lim, Tingting He

Research Collection College of Integrative Studies

Urban green space provides ecosystem services such as heat mitigation, which are associated with improved resident health and welfare. While estimating the disparity in ecosystem services is essential to improve equity, little guidance is available as to which indices and indicators should be used. Here, we assess the distributional equity in heat mitigation benefits as measured by two indicators – land surface temperature reduction and wet-bulb temperature reduction – in the city-state of Singapore, and compare three inequality indices: Gini coefficient (GC), Atkinson index (AI), and Theil entropy index (TE). We include scenarios with and without migrant construction workers to …

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A Virtual Wellness Program To Enhance Well-Being For Pediatric Oncology Staff During The Covid-19 Pandemic, Karen M Moody, Maria Chang Swartz, Zachary Gresham, Martha Askins, Laura Cahalan, Christine Geistkemper, Amy Heaton, Ruitao Lin, Melissa Melo, Alakh Rajan, Madeline Smith, Priti Tewari, Keyana Williams, Cheng-Han Yang, Rhonda Robert Jun 2025

A Virtual Wellness Program To Enhance Well-Being For Pediatric Oncology Staff During The Covid-19 Pandemic, Karen M Moody, Maria Chang Swartz, Zachary Gresham, Martha Askins, Laura Cahalan, Christine Geistkemper, Amy Heaton, Ruitao Lin, Melissa Melo, Alakh Rajan, Madeline Smith, Priti Tewari, Keyana Williams, Cheng-Han Yang, Rhonda Robert

Faculty, Staff and Student Publications

In response to the COVID-19 global health crisis and mandated social isolation, Pediatric leadership at MD Anderson Children's Cancer Hospital was concerned for the psychological impact on its workforce and encouraged wellness programming. A grassroots wellness taskforce was assembled for the Division of Pediatrics. The task force's primary mission was to promote the well-being of clinicians and non-clinical staff members through a broadly accessible, sustainable, and effective virtual wellness program. Guided by the Stanford Model for Professional Fulfillment, a virtual program entitled, "Weekly Wellness Webex" for Pediatrics staff was launched. Weekly Wellness Webex is a 1-hour live-streamed program with varied …

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Community Safety Innovations: New York State Initiatives To Strengthen Public Safety, Justice D. Evans, Elia Del Carmen Solano-Patricio, Rebecca Balletto, Kathleen A. Tomberg, Jeffrey A. Butts Jun 2025

Community Safety Innovations: New York State Initiatives To Strengthen Public Safety, Justice D. Evans, Elia Del Carmen Solano-Patricio, Rebecca Balletto, Kathleen A. Tomberg, Jeffrey A. Butts

Publications and Research

This report presents findings from researchers at the Research and Evaluation Center at John Jay College (JohnJayREC) regarding the impact of state investments in community safety. The report highlights key initiatives such as the SNUG program, Gun Involved Violence Elimination (GIVE), Project RISE, and Crime Analysis Centers (CACs). Through interviews with State agency staff and initiative leaders, the research team gathered valuable insights into the goals, challenges, and implementation of these programs. The findings suggest that these efforts may contribute to reduced violence and enhanced neighborhood safety, though further, more robust evaluation could help refine and expand these efforts for …

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Encoding 3d Information In 2d Feature Maps For Brain Ct-Angiography, Uma M Lal-Trehan Estrada, Sunil Sheth, Arnau Oliver, Xavier Lladó, Luca Giancardo Jun 2025

Encoding 3d Information In 2d Feature Maps For Brain Ct-Angiography, Uma M Lal-Trehan Estrada, Sunil Sheth, Arnau Oliver, Xavier Lladó, Luca Giancardo

Faculty, Staff and Student Publications

We propose learnable 3D pooling (L3P), a CNN module designed to compress 3D information into 2D feature maps using anisotropic convolutions and unidirectional max pooling. Specifically, we used L3P followed by a 2D network to generate predictions from 3D brain CT-Angiography (CTA) in the context of large vessel occlusion (LVO). To further demonstrate its versatility, we extended its application to 3D brain MRI analysis for brain age prediction. First, we designed an experiment to classify the LVO-affected hemisphere (left or right), projecting the input CTA into the sagittal plane, which allowed to assess the ability of L3P to encode the …

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Cll Cell-Derived Exosomes Alter The Immune And Hematopoietic Systems, Ivo Veletic, David M Harris, Uri Rozovski, Maria Teresa S Bertilaccio, George A Calin, Koichi Takahashi, Ping Li, Zhiming Liu, Taghi Manshouri, Rares-Constantin Drula, Ken Furudate, Muharrem Muftuoglu, Anwar Hossain, William G Wierda, Michael J Keating, Zeev Estrov Jun 2025

Cll Cell-Derived Exosomes Alter The Immune And Hematopoietic Systems, Ivo Veletic, David M Harris, Uri Rozovski, Maria Teresa S Bertilaccio, George A Calin, Koichi Takahashi, Ping Li, Zhiming Liu, Taghi Manshouri, Rares-Constantin Drula, Ken Furudate, Muharrem Muftuoglu, Anwar Hossain, William G Wierda, Michael J Keating, Zeev Estrov

Faculty, Staff and Student Publications

The origins of immunosuppression, neutropenia, and anemia in patients with chronic lymphocytic leukemia (CLL) are not fully understood. Because in patients with CLL, circulating exosomes, which participate in cell-to-cell interactions, are CLL cell-derived, we examined whether those exosomes contribute to abnormal features of this disease. Our data revealed that CLL cell-derived exosomes engulfed by healthy donors’ monocytes, fibrocytes, and lymphocytes altered target-cell gene and protein expression and suppressed normal hematopoiesis. CLL cell-derived exosomes increased normal monocytes’ CD14 and CD16 expression such that it mimicked the accessory cell profile and upregulated T cells’ checkpoint PD-1 and CD160 protein levels, potentially reducing …

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Contemplative Practices Facilitating Awareness, Compassion, And Healing In Study Abroad: A Reflective And Explorative Study, Ciara C. Hoyne, Jing Lin Jun 2025

Contemplative Practices Facilitating Awareness, Compassion, And Healing In Study Abroad: A Reflective And Explorative Study, Ciara C. Hoyne, Jing Lin

Journal of Contemplative and Holistic Education

This reflective essay focuses on the relationship between contemplative practices and participation in a short-term study abroad trip. The study explores how contemplative practices help facilitate self-understanding, alleviate stress, enhance connection to the host community and culture, and enable healing. We use our experiences participating in a short-term study abroad program as an example for examining the role of contemplative practices in the context of study abroad. We discuss and integrate relevant literature on the topic of meditation, mindfulness, and contemplative inquiry to offer insight into how contemplative practices can be integrated into study abroad in a way that enhances …

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The Effect Of Uniaxial Compressive And Tensile Strains On The Structural, Dynamical, Electronic, And Optical Properties Of Zrcl2 Monolayer: Ab-Initio Calculations, Hind Alqurashi, Bothina Hamad, M. O. Manasreh Jun 2025

The Effect Of Uniaxial Compressive And Tensile Strains On The Structural, Dynamical, Electronic, And Optical Properties Of Zrcl2 Monolayer: Ab-Initio Calculations, Hind Alqurashi, Bothina Hamad, M. O. Manasreh

Physics Faculty Publications and Presentations

Recently, the two-dimensional material zirconium dihalide (ZrCl2) has received a significant attention for prospective device applications due to its unique electronic, mechanical, magnetic, and topological properties. This work reports theoretical predictions for the structural, dynamical, electronic, and optical properties of ZrCl2 under uniaxial compressive and tensile strains using density functional theory (DFT). The band gap structures were found to be highly sensitive to the uniaxial compressive and tensile strains of ZrCl2 monolayer (ML). The unstrained ZrCl2 ML has a semiconducting behavior with an indirect band gap of 1.19 eV. Under the uniaxial compressive tensile stress (epsilon x) of- 6%,- 4%,- …

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Engaging A Community-Academic Partnership To Implement Community-Driven Solutions, Abiola O. Keller, Lindsey St. Arnold Bell, Kristin Haglund Jun 2025

Engaging A Community-Academic Partnership To Implement Community-Driven Solutions, Abiola O. Keller, Lindsey St. Arnold Bell, Kristin Haglund

College of Nursing Faculty Research and Publications

Community engagement is a pivotal public health tool for addressing population health challenges and advancing health equity. Community–academic partnerships that use community-engaged approaches can prioritize community strengths and ensure that resources and interventions match local needs. In 2021–2022, a community-academic partnership, guided by the principles of community engagement, collaborated with residents of Milwaukee’s Near West Side (NWS) to identify strengths and assets and prioritize actions to improve health and quality of life. To inform the development of a planned community resource center, residents were invited for group concept mapping (GCM).

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Genetic Control Of Prickles In Tetraploid Blackberry, Carmen Johns, Alexander Silva, Thomas Mason Chizk, Lacy Nelson, John R. Clark, Rishi Aryal, H. Ashrafi, Ellen Thompson, Michael Hardigan, Margaret Worthington Jun 2025

Genetic Control Of Prickles In Tetraploid Blackberry, Carmen Johns, Alexander Silva, Thomas Mason Chizk, Lacy Nelson, John R. Clark, Rishi Aryal, H. Ashrafi, Ellen Thompson, Michael Hardigan, Margaret Worthington

Horticulture Faculty Publications and Presentations

Prickle-free blackberry (Rubus subgenus Rubus) canes are strongly preferred by growers due to food and worker safety concerns and damage to fruit from mechanical injury by prickles. This project was conducted to identify the genetic region responsible for prickle-free canes derived from the recessive "Merton Thornless" source in autotetraploid blackberry using a genome-wide association study, develop diagnostic Kompetitive Allele-Specific PCR markers for prickle-free canes, and determine the effects of allele dosage at the prickle-free locus on prickle density in 2 biparental populations. The prickle locus was located on chromosome Ra04 from 30.48 to 36.04 Mb in an extensive LD block, …

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Alterations In Gut Microbiome Composition And Increased Inflammatory Markers In Post-Covid-19 Individuals, Tatiana Barichello, Bruno Kluwe-Schiavon, Laura A Borba, Lucas C Pedro, Flávia S Niero, Laísa N Dos Santos, Letícia M Leonardo, Zuleide M Ignácio, Rodrigo Morales, Luciane B Ceretta, Gislaine Z Reus Jun 2025

Alterations In Gut Microbiome Composition And Increased Inflammatory Markers In Post-Covid-19 Individuals, Tatiana Barichello, Bruno Kluwe-Schiavon, Laura A Borba, Lucas C Pedro, Flávia S Niero, Laísa N Dos Santos, Letícia M Leonardo, Zuleide M Ignácio, Rodrigo Morales, Luciane B Ceretta, Gislaine Z Reus

Faculty, Staff and Student Publications

Dysfunctions in the immune system and alterations in the microbiome composition following SARS-CoV-2 infection contribute to persistent neurological issues observed in long COVID-19 survivors. We hypothesize that alterations in the gut microbiome composition and peripheral inflammatory profile following COVID-19 may play pivotal roles in behavior changes among individuals experiencing long-term illness. This cross-sectional study included a sample of post-COVID-19 and non-COVID-19 subjects. We assessed the presence of psychiatric conditions utilizing standardized diagnostic criteria, Hamilton Rating Scale for Anxiety (HAM-A), Hamilton Rating Scale for Depression (HAM-D), Biological Rhythms in Neuropsychiatry Assessment Interview (BRIAN), and Functional Assessment Short Test (FAST). Plasma samples …

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Exploring Potential Ethnic Bias Among Mmpi-3 Scales In Assessing Personality Psychopathology, Nicole Shumaker, Tessa Long, Andy Torres, Alfonso Mercado, Ryan J Marek, Jaime L Anderson Jun 2025

Exploring Potential Ethnic Bias Among Mmpi-3 Scales In Assessing Personality Psychopathology, Nicole Shumaker, Tessa Long, Andy Torres, Alfonso Mercado, Ryan J Marek, Jaime L Anderson

Faculty, Staff and Student Publications

This study examined statistical bias in the measurement of personality psychopathology in the Latinx population using the Minnesota Multiphasic Personality Inventory-3 (MMPI-3). Data were extracted from two studies that yielded a composite data set of 103 White individuals and 250 Latinx individuals. All participants were administered the MMPI-2-Restructured Form-Extended Battery (MMPI-2-RF-EX) or MMPI-3 and the Personality Inventory for the DSM-5 Short Form (PID-5-SF). First, we conducted correlation analyses between theoretically overlapping scales of the PID-5-SF and the MMPI-3 among White and Latinx individuals. The majority of theoretically associated scales were found to be at least moderately associated in the …

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Impact Of Tyrosine Kinase Inhibitors On Thyroid Function In Chronic Myeloid Leukemia: A Systematic Review, Nana Sardarova, Tirath Patel, Tahani M. Abugoukh, Daniel Kim, Samad Yousuf, Mohammed Hammoude Jun 2025

Impact Of Tyrosine Kinase Inhibitors On Thyroid Function In Chronic Myeloid Leukemia: A Systematic Review, Nana Sardarova, Tirath Patel, Tahani M. Abugoukh, Daniel Kim, Samad Yousuf, Mohammed Hammoude

Student Publications

Tyrosine kinase inhibitors (TKIs) have significantly improved outcomes in chronic myeloid leukemia (CML), shifting it from a fatal to a manageable chronic condition. Despite their clinical benefits, TKIs have been increasingly associated with endocrine-related adverse effects, most notably thyroid dysfunction. This systematic review explores the prevalence, clinical features, underlying mechanisms, and prognostic implications of TKI-induced thyroid abnormalities in CML patients. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a comprehensive literature search was conducted across four databases, namely, PubMed, Excerpta Medica database (Embase), ClinicalKey, and Google Scholar, yielding 4,803 records. After applying inclusion and exclusion criteria …

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Developing Human-Autonomy Teaming Strategies For Maritime Cyber Security Resilience In Uncrewed Autonomous And Remote Surface Vessel Operations, Juan Palbar Misas, Kimberly Tam, Kevin Jones Jun 2025

Developing Human-Autonomy Teaming Strategies For Maritime Cyber Security Resilience In Uncrewed Autonomous And Remote Surface Vessel Operations, Juan Palbar Misas, Kimberly Tam, Kevin Jones

School of Engineering, Computing and Mathematics

The development of new technologies and digital capabilities for Uncrewed Autonomous and Remote Surface Vessel Operations (UARSVO) is driven by various industry stakeholders. This evolution impacts the maritime industry's human role, transforming from Human-Autonomy Hybrid (HAH) to Human-Autonomy Teaming (HAT). Human-Autonomy Collaboration (HAC) is vital for maritime safety, security, and sustainability, particularly in light of increasing cyber incidents in remote operations, which necessitates greater cyber resilience due to technology at sea and ashore. This paper aims to provide a holistic socio-technical approach to investigate and present an overview of the current state-of-the-art research, focusing on the human perspective in maritime …

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A Cfd Analysis Of Equipment Fires In An Underground Development Heading For Improved Auxiliary Ventilation Design, Oluwafemi B. Salami, Jurgen F. Brune, Guang Xu Jun 2025

A Cfd Analysis Of Equipment Fires In An Underground Development Heading For Improved Auxiliary Ventilation Design, Oluwafemi B. Salami, Jurgen F. Brune, Guang Xu

Mining Engineering Faculty Research & Creative Works

Abstract: This study investigates the intricacies of equipment fires in a blind development heading of an underground mine using computational fluid dynamics (CFD). A series of fire dynamic simulations (FDS) were conducted for various ventilation velocities in the main airway, and with different distance between the auxiliary ventilation duct outlet to the blind working face. The impacts of the ventilation velocity in the main airway, and separation distance between the duct outlet to the blind face on temperature distribution and smoke spread mechanism were investigated. The findings indicate that the distance of the auxiliary ventilation duct outlet to the working …

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On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu Jun 2025

On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu

Research Collection School Of Computing and Information Systems

In the on-demand problem domain, actual demand frequently deviates from the expected demand. This paper intricately delves into the exploration of on-demand heterogeneous multi-drone routing problem (ODHDRP), in which a transport drone carries multiple terminal drones to subregions in the first echelon, and the terminal drones deliver parcels during a flight trip to customers with demands in subregions to maintain economies of scale in the second echelon. We formulate the customer demands using a normal distribution, and exploit a reliability model of customer demands with chance constraints. To solve the ODHDRP efficiently, we propose a hybrid iterative optimisation heuristic (HIOH) …

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Moditector: Module-Directed Testing For Autonomous Driving Systems, Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma Jun 2025

Moditector: Module-Directed Testing For Autonomous Driving Systems, Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma

Research Collection School Of Computing and Information Systems

Testing Autonomous Driving Systems (ADSs) is crucial for ensuring their safety, reliability, and performance. Despite numerous testing methods available that can generate diverse and challenging scenarios to uncover potential vulnerabilities, these methods often treat ADS as a black-box, primarily focusing on identifying system-level failures like collisions or near-misses without pinpointing the specific modules responsible for these failures. This lack of root causes understanding for the failures hinders effective debugging and subsequent system repair. Furthermore, current approaches often fall short in generating violations that adequately test the individual modules of an ADS from a system-level perspective, such as perception, prediction, planning, …

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Demystifying Memorization In Llm-Based Program Repair Via A General Hypothesis Testing Framework, Jiaolong Kong, Xiaofei Xie, Shangqing Liu Jun 2025

Demystifying Memorization In Llm-Based Program Repair Via A General Hypothesis Testing Framework, Jiaolong Kong, Xiaofei Xie, Shangqing Liu

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have achieved remarkable success in various applications, particularly in code-related tasks such as code generation and program repair, setting new performance benchmarks. However, the extensive use of large training corpora raises concerns about whether these achievements stem from genuine understanding or mere memorization of training data—a question often overlooked in current research. This paper aims to study the memorization issue within LLM-based program repair by investigating whether the correct patches generated by LLMs are the result of memorization. The key challenge lies in the absence of ground truth for confirming memorization, leading to various ad-hoc methods …

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Collaborative Tree Search For Enhancing Embodied Multi-Agent Collaboration, Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou Jun 2025

Collaborative Tree Search For Enhancing Embodied Multi-Agent Collaboration, Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou

Research Collection School Of Computing and Information Systems

Embodied agents based on large language models (LLMs) face significant challenges in collaborative tasks, requiring effective communication and reasonable division of labor to ensure efficient and correct task completion. Previous approaches with simple communication patterns carry erroneous or incoherent agent actions, which can lead to additional risks. To address these problems, we propose Cooperative Tree Search (CoTS), a framework designed to significantly improve collaborative planning and task execution efficiency among embodied agents. CoTS guides multi-agents to discuss long-term strategic plans within a modified Monte Carlo tree, searching along LLMdriven reward functions to provide a more thoughtful and promising approach to …

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Modfinity: Unsupervised Domain Adaptation With Multimodal Information Flow Intertwining, Shanglin Liu, Jianming Lv, Jingdan Kang, Huaidong Zhang, Zequan Liang, Shengfeng He Jun 2025

Modfinity: Unsupervised Domain Adaptation With Multimodal Information Flow Intertwining, Shanglin Liu, Jianming Lv, Jingdan Kang, Huaidong Zhang, Zequan Liang, Shengfeng He

Research Collection School Of Computing and Information Systems

Multimodal unsupervised domain adaptation leverages unlabeled data in the target domain to enhance multimodal systems continuously. While current state-of-the-art methods encourage interaction between sub-models of different modalities through pseudo-labeling and feature-level exchange, varying sample quality across modalities can lead to the propagation of inaccurate information, resulting in error accumulation. To address this, we propose Modal-Affinity Multimodal Domain Adaptation (MODfinity), a method that dynamically manages multimodal information flow through fine-grained control over teacher model selection, guiding information intertwining at both feature and label levels. By treating labels as an independent modality, MODfinity enables balanced performance assessment across modalities, employing a novel …

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A Knowledge Enhanced Large Language Model For Bug Localization, Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang Jun 2025

A Knowledge Enhanced Large Language Model For Bug Localization, Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang

Research Collection School Of Computing and Information Systems

A significant number of bug reports are generated every day as software systems continue to develop. Large Language Models (LLMs) have been used to correlate bug reports with source code to locate bugs automatically. The existing research has shown that LLMs are effective for bug localization and can increase software development efficiency. However, these studies still have two limitations. First, these models fail to capture context information about bug reports and source code. Second, these models are unable to understand the domain-specific expertise inherent to particular projects, such as version information in projects that are composed of alphanumeric characters without …

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Efficient And Green Large Language Models For Software Engineering: Literature Review, Vision, And The Road Ahead, Jieke Shi, Zhou Yang, David Lo Jun 2025

Efficient And Green Large Language Models For Software Engineering: Literature Review, Vision, And The Road Ahead, Jieke Shi, Zhou Yang, David Lo

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have recently shown remarkable capabilities in various software engineering tasks, spurring the rapid growth of the Large Language Models for Software Engineering (LLM4SE) area. However, limited attention has been paid to developing efficient LLM4SE techniques that demand minimal computational cost, time, and memory resources, as well as green LLM4SE solutions that reduce energy consumption, water usage, and carbon emissions. This article aims to redirect the focus of the research community toward the efficiency and greenness of LLM4SE, while also sharing potential research directions to achieve this goal. It commences with a brief overview of the significance …

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Deepvec: State-Vector Aware Test Case Selection For Enhancing Recurrent Neural Network, Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo Jun 2025

Deepvec: State-Vector Aware Test Case Selection For Enhancing Recurrent Neural Network, Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo

Research Collection School Of Computing and Information Systems

Deep Neural Networks (DNN) have realized significant achievements across various application domains. There is no doubt that testing and enhancing a pre-trained DNN that has been deployed in an application scenario is crucial, because it can reduce the failures of the DNN. DNN-driven software testing and enhancement require large amounts of labeled data. The high cost and inefficiency caused by the large volume of data of manual labeling, and the time consumption of testing all cases in real scenarios are unacceptable. Therefore, test case selection technologies are proposed to reduce the time cost by selecting and only labeling representative test …

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Collision Kinematics For Fast Positron Impact Ionization Of Argon, Robert D. Dubois, Károly Tőkési Jun 2025

Collision Kinematics For Fast Positron Impact Ionization Of Argon, Robert D. Dubois, Károly Tőkési

Physics Faculty Research & Creative Works

Classical trajectory Monte Carlo calculations for 1 keV positron impact ionization of argon are presented. A combination of energy-weighted triple differential cross-sections is shown to provide good to excellent agreement compared with experimental data, depending on the ejected electron azimuthal angular acceptance range used to define in-plane scattering. For ejected electron energies less than 100 eV, information about the influence of pre- (the impact parameter) and post-(the direction of scattering) collision kinematics on the triple differential level is obtained. An overall picture of these kinematic properties is also presented for single differential cross-sections as a function of ejected electron energy …

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Performance Evaluation Of Aminated Multi-Walled Carbon Nanotubes Incorporated With Green Synthesized Iron Nanoparticles For Toxic Dyes Sequestration From Textile Wastewater, Titus Chinedu Egbosiuba, Cynthia Chukwuemeka, Jonah Chukwudi Umeuzuegbu, Nwanneka Chibuzo Mmonwuba, Ugochukwu Ewuzie, Monday Uchenna Okoronkwo, Valentine Chikaodili Anadebe, Saheed Mustapha, Ambali Saka Abdulkareem, Jimoh Oladejo Tijani, Ashish Patel, Virendra Kumar Yadav Jun 2025

Performance Evaluation Of Aminated Multi-Walled Carbon Nanotubes Incorporated With Green Synthesized Iron Nanoparticles For Toxic Dyes Sequestration From Textile Wastewater, Titus Chinedu Egbosiuba, Cynthia Chukwuemeka, Jonah Chukwudi Umeuzuegbu, Nwanneka Chibuzo Mmonwuba, Ugochukwu Ewuzie, Monday Uchenna Okoronkwo, Valentine Chikaodili Anadebe, Saheed Mustapha, Ambali Saka Abdulkareem, Jimoh Oladejo Tijani, Ashish Patel, Virendra Kumar Yadav

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study evaluates the performance of aminated multi-walled carbon nanotubes (AM-MWCNTs) integrated with zerovalent iron nanoparticles (ZVI) synthesized using cashew leaf (Anacardium occidentale) extract (AM-MWCNTs@ZVI) for the removal of Congo Red (CR) and Methylene Blue (MB) dyes from textile industrial wastewater. The nanocomposite was characterized using FTIR, XRD, BET, HRSEM, and HRTEM analyses, confirming its functional groups, crystalline structure, and enhanced surface area of 1050.4 m2/g. The ecological risk degree of the textile pollutants was assessed to determine the percentage concentrations of crystal violet, Congo red, methyl orange, methylene blue and rhodamine B. Batch adsorption experiments identified optimal …

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A Critical Evaluation Of The Criticisms Against Neutrosophic Statistical Methods, Muhammad Aslam, Abdulrahman Alaita, Florentin Smarandache Jun 2025

A Critical Evaluation Of The Criticisms Against Neutrosophic Statistical Methods, Muhammad Aslam, Abdulrahman Alaita, Florentin Smarandache

Neutrosophic Systems with Applications

Neutrosophic statistical analysis has gained attention for incorporating the degree of indeterminacy when analyzing imprecise and interval data under uncertainty–-an aspect often overlooked by classical statistics, fuzzy statistical analysis, and interval statistics. Recently, critical discussions have emerged regarding the use and applications of neutrosophic statistics, with some questioning its usefulness and validity. In this paper, we present a critical assessment of the existing literature, focusing on areas where misunderstandings and misinterpretations of neutrosophic statistical methods have occurred. We also examine flawed comparisons made between the results of neutrosophic statistics and interval statistics. Furthermore, substantial issues have been identified in the …

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Effect Of Relative Isometric Strength On Countermovement Jump Performance In Professional And Semi-Professional Soccer Players, Nicholas Joel Ripley, Jack Fahey, Nabil Hassim, Paul Comfort Jun 2025

Effect Of Relative Isometric Strength On Countermovement Jump Performance In Professional And Semi-Professional Soccer Players, Nicholas Joel Ripley, Jack Fahey, Nabil Hassim, Paul Comfort

Research outputs 2022 to 2026

As powerful actions commonly proceed goal scoring opportunities within soccer, enhancing powerful actions could be essential to optimize performance. There is a large body of evidence supporting the positive associations between maximal isometric mid-thigh pull force-generating qualities and jump performance. Objectives: The purpose of this study was to determine if relative maximal isometric force production can discriminate between higher- and lower-performing jumpers among professional and semi-professional soccer players. As such, it was hypothesized that stronger players would have a greater jump performance than weaker players. Methods: An observational cross-sectional research design was used to assess ballistic and isometric force production …

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