Digital Commons Network^™

A Single Bout Of Resistance Or High-Intensity Interval Training Increases Anti-Cancer Myokines And Suppresses Cancer Cell Growth In Vitro In Survivors Of Breast Cancer, Francesco Bettariga, Dennis R. Taaffe, Cristina Crespo-Garcia, Timothy D. Clay, Mauro De Santi, Giulia Baldelli, Sanjeev Adhikari, Elin S. Gray, Daniel A. Galvão, Robert U. Newton

Research outputs 2022 to 2026

Purpose: Breast cancer is the leading cause of cancer-related death in women, highlighting the need for strategies to mitigate recurrence and mortality. We examined the effects of a single bout of resistance training (RT) versus high-intensity interval training (HIIT) on anti-cancer myokines and in vitro cancer cell suppression. Methods: Thirty-two survivors of breast cancer were randomly allocated to a single bout of RT (n = 16) or HIIT (n = 16). Blood was collected before, immediately post (0P) and 30 min post (30P) exercise. We measured serum levels of decorin, interleukin 6 (IL-6), secreted protein acidic and rich in cysteine …

Compassionate Self-Care For Nurses And Midwives: A Sequential Explanatory Mixed Methods Study, Mary Steen, Shwikar Othman, Jennifer Fereday, Annette Briley, Qunyan Xu, Rachael Vernon

Research outputs 2022 to 2026

Background: Awareness of being kind and compassionate to yourself is often overlooked despite emerging evidence that high levels of self-compassion decrease levels of anxiety and improves well-being. Aim: To explore what being compassionate to yourself means to nurses and midwives and increase knowledge and understanding of how self-compassion may enhance well-being. Methods: Mixed methods study design was utilised to investigate and explore the influence of self-compassion on nurses and midwives' well-being. Phase 1 involved quantitative data collection and analysis. Phase 2 qualitative data were collected to expand on quantitative results. Results: Fifty-four participants responded to a pre-workshop questionnaire, 55 completed …

Digital Tools To Promote Or Measure Health Literacy In Children Aged 3–5 Years: Scoping Review, Caron Molster, Jennifer Irvine, Amanda Devine, Ruth Wallace, Lennie Barblett, Leesa Costello

Research outputs 2022 to 2026

Health literacy is a determinant of health that should be promoted and measured in early childhood. In the era of digitalization, this could involve digital platforms. However, little knowledge exists on the extent, range, and nature of literature on digital tools for promoting or measuring young children’s health literacy. Addressing this gap, a scoping review was undertaken to explore what digital health literacy tools for children aged 3–5 years could be identified in the literature, what their key features were, how they were designed, whether children were codesigners, and whether the tools had been evaluated. Eligibility criteria included the literature …

Exploring Behavioural Motivations Of Treatment Refusal In Cancer: A Q-Methodological Approach, Ruby Koyllor A. Gleeson, Nicolas H. Hart, Darren Haywood, Frank D. Baughman

Research outputs 2022 to 2026

Background: Cancer treatment refusal is known to lower survival rates and increase cancer symptoms in individuals with cancer. Behavioural motivations of treatment refusal need to be elucidated for better cancer care. Using Q-methodology, a mixed methods research approach, we explored behavioural motivations of treatment refusal in individuals diagnosed with cancer. Method: Thirty-nine individuals (n = 39; age = 49.2 ± 12.2 years) were recruited from Australia, the UK, and the USA, who had refused cancer treatment within the past decade. Participants completed an online demographic questionnaire and a Q-sort activity which required the organisation and ranking of 44 statements on …

Synergistic Enhancement Of Tribological Behavior And Colloidal Stability In Cuo Nanolubricants Via Ligand Tuning, Sherif Elsoudy, Sayed Akl Akl Dr, Sayed Akl A. Akl Dr, Esm Lane, Abas Hadawey, Philip D. Howes

Mechanical Engineering

Nanoparticle-based lubricants, or nanolubricants, can exhibit superior tribological properties compared to unmodified base oils. However, these performance gains are highly dependent on the nanoparticle surface chemistry, particularly in maintaining stable colloidal dispersions. This study explores the influence of oleic acid (OA) and oleylamine (OAm) functionalization on the tribological and colloidal properties of CuO nanoparticles dispersed in an SAE 20W50 base oil. We present a hybrid optimization framework combining Response Surface Methodology (RSM) with Bayesian Optimization (BO) to identify the optimal OA to OAm ratio (OA–OAm) for CuO nanolubricants. Unlike prior studies that employed either RSM alone or trial-and-error approaches, this …

Nebline, August/September 2025

NEBLINE Newsletter Archive from Nebraska Extension in Lancaster County

Contents

Summertime’s Natural Light Show: Fireflies by Kait Chapman

Insect Science with Kids: Bug Collecting as a Tool to Learn

The Perfect Partnership: EFNEP and SNAP-Ed Join Forces for Lifelong Nutrition and Health by Emily Gratopp

Recipe of the month by Emily Gratopp: Fruit salsa & cinnamon chips

Southeast nebraska Pasture & Acreage Expo

Southeast Nebraska Alfalfa & Wheat Expo

Landlord/Tenant Cash Rent workshop

Vegetable Gardening in the Fall by Mary Jane Frogge

GRO Big Red virtual learning series

2025 perennial plant of the year: Blue mountain mint (Pycnanthemum muticum)

Garden guide: Things to do this month by …

The Latin Exclusion: Examining The Eu And The White House’S Policy Favoritism Toward Migrant Sending Latin American Nations While Punishing Similar Pressures Globally, Nicolas Garon

Notre Dame Journal of International & Comparative Law

Too often, negative perceptions of a country, whether from its government or a few citizens, result in broad restrictions applied to all nationals, either formally through policy or informally through officials’ discretion. A global norm persists in which nationals from poorer countries facing migratory pressures are subjected to heightened scrutiny and restrictive measures that deter movement to wealthier nations. Regardless of how liberal a receiving country may claim to be, states consistently adopt conservative stances on migration. Western nations, as primary destinations, often impose the harshest measures, such as travel bans and additional visa requirements, frequently based on speculative migration …

The Legal Framework Of Smart Contracts In The Arabian Gulf, Ilias Bantekas, Ameneh Yousuf Saif Al-Hosseini

Notre Dame Journal of International & Comparative Law

New tools have aided contractual transactions, particularly so-called smart contracts. Such tools have an impact on the formation of contracts and the implementation of the parties’ mutual obligations. Entities in the Arab world have generally hesitated to apply smart contract technology to high-end transactions out of fear that at some point these will not sit comfortably with existing legislation. The civil law landscape is still blurry. This article focuses on analyzing the legal framework of smart contracts in selected Arab countries and uses English smart contract regulation in order to compare how their regulation was tamed there and whether the …

Bridging Intercultural Divides In A Digitally Interconnected World, Jaimee Stuart, Andre Pekerti

Regional Conferences of IACCP

This volume contains the program and abstracts of the joint IAIR & IACCP Conference in Brisbane, Australia, from June 26 to July 1, 2025. It was the 28th Regional Conference of IACCP.

Integrated Sustainability: Unlocking Environmental Potential In Electric Vehicles And Solar Panels, Zachary C. Anderson

Honors Theses

This thesis investigates the environmental, economic, and individual level factors influencing consumer adoption of electric vehicles and solar panels. Through a comprehensive scoping review and case-based analysis, it identifies key incentives and barriers related to purchase intentions for each alternative energy technology. Central factors influencing adoption include cost-related concerns, individual purchasing power, demographic effects, and policy impact. These findings suggest that targeted interventions – specifically those used to amplify incentives and mitigate barriers – can positively impact individual consumer purchase intention, including through bundling options. Highlighting the importance of integrated sustainability, this study explored how electric vehicles and solar panels …

The Proust Effect And Hoarding Symptoms: Relationships Among Memory Vividness, Object Type, And Urge To Save, Lauren Milgram, Junjia Xu, Randy O. Frost, Elizabeth A. Offermann, Kiara R. Timpano

Psychology: Faculty Publications

Background: Individuals with hoarding disorder exhibit heightened attachment to objects, but little is known about possible drivers of object attachment and associated object saving behaviors. Theory and preliminary evidence posit that the heightened object attachment characteristic of hoarding disorder may be partially explained by the experience of vivid,‘Proustian’ memories related to objects.

Aims: The current study piloted a novel Proustian Memory Task to examine whether self-reported vividness of memories associated with cherished objects, mundane objects, and non-objects was associated with greater urge to save objects and greater hoarding symptoms.

Method: Participants (N= 443) included a non-selected community sample recruited from …

Immersive Consulting On The Ground: Learning Od By Doing It, Mendiola Teng-Calleja, Jaimee Felice Caringal-Go, Maria Regina Hechanova-Alampay, Nicasio A. Pimentel Iii, Christina Marie Ysabel Cruz, Allen Joyce Flaviano

Psychology Department Faculty Publications

Step out of the ODLAB conference venue and into the real world of Organizational Development with Live Client Consulting, ODLAB 2025’s most immersive learning experience. Participants will be grouped and deployed to actual partner organizations in Zamboanga City—ranging from SMEs, community institutions, and business organizations—where they will engage with leaders and staff to conduct real-time diagnosis, facilitation, and consultation. This rare opportunity allows learners to apply OD tools and frameworks in a dynamic and unscripted environment, gaining insights that no simulation can match. Under the guidance of senior OD mentors, each team will be expected to observe organizational realities, conduct …

[M]Otherhood: Navigating Work-Family Constraints And Strategies In Pink-Collar Jobs, Madison Brunell

All Graduate Theses and Dissertations, Fall 2023 to Present

Working mothers continue to confront cultural norms and workplace practices that frame paid labor as incompatible with caregiving. In the workplace, these norms often result in motherhood bias and discrimination due to the incompatibility between norms of the ‘ideal worker’ and the ‘ideal mother’ (Acker 2006; Williams, Blair-Loy and Berdahl 2013). This tension is especially acute in pink-collar jobs, women-dominated occupations in service and care sectors, which are often mischaracterized as mother- friendly despite offering limited flexibility, low pay, and minimal structural support (Sartor, Lange, and Tröster 2023; Deming 2022; Ervin et al. 2022). While prior research has explored the …

Exploring Adverse Childhood Experiences And Bullying Of Children Who Are Deaf Or Hard Of Hearing, Alyson Connelly Ward

All Graduate Theses and Dissertations, Fall 2023 to Present

Adverse childhood experiences (ACEs) and bullying can lead to psychological distress, causing both short- and long-term health and mental health problems. Children with special healthcare needs (CSHCN), including those who are deaf or hard of hearing (DHH), face a higher risk of ACEs and bullying, which can affect their well-being.

This study builds on existing literature by (a) reviewing ACEs and bullying in CSHCN, especially those who are DHH, and (b) using data from the 2016-2022 National Survey of Children's Health to analyze ACEs and bullying in children who are DHH, DHH+CSHCN, and CSHCN. The literature review found that disability …

Setting Salinity Water-Quality Standards Protective Of Aquatic Life: Insights From Analyses Of The Effects Of Salinity On Stream Insects, Katlyn M. Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Freshwater ecosystems are becoming saltier due to human activities like agriculture, urbanization, and resource extraction. This change in salinity is important because we know very little of how stream salinity affects aquatic insects at natural concentrations, much less at elevated concentrations. Increases in salinity may harm aquatic macroinvertebrates, which play important roles in stream food webs and are widely used as indicators of ecosystem health. Understanding how salinity affects aquatic insect growth, survival, and distribution is critical for developing effective criteria protective of aquatic life, but existing methods often rely on field surveys where multiple environmental factors covary, making it …

Operation: Twisted Arm, Paul Burdiss

All Graduate Theses and Dissertations, Fall 2023 to Present

This science fiction novella explores the postcolonial tensions that can exist between a settler population and the native population of the land they have colonized. It uses the science fiction genre to translate modern issues into a fully fictionalized setting and is written in novella form to best fit the form of the story. This novella is accompanied by a Critical Introduction which explains the methodology and rationale for many of the choices made in its construction, and references both literary works read in preparation for this project as well as works by other writers regarding fiction writing techniques. The …

The Collapse Of Negara Hukum: How Indonesia’S Rule Of Law Has Been Shaped By Embedded Oligarch Politics?, Herlambang Perdana Wiratraman

The Indonesian Journal of Socio-Legal Studies

This article argues recent performance of the rule of law in the 25-years period after Soeharto’s authoritarian regime. Why has there been a weakening of civil liberties, while on the other hand the oligarchic power and authoritarianism strengthens the current Indonesia’s politics. This article examines the prevalence of arbitrary practices, not only in the fair procedural process of law enforcement, but also why it is so easy to pass anti-democratic laws that contradict the principles of the rule of law. By referring to three specific case studies: free expression, academic freedom and press freedom, this article found that politics in …

Political Violence, Electoral Behavior, And Their Interaction With Identity, Zeeshan Saeed

All Graduate Theses and Dissertations, Fall 2023 to Present

The research takes Pakistan as a case-study to explores how political violence shapes electoral behavior by focusing on two forms of violence: terrorist interventions by non-state actors and political repression by state institutions. Analyzing multiple elections and regional contexts, the study investigates how fear inflicting non-state violence can discourage voter participation, while state sponsored violence can drive communities by triggering anger, particularly those with strong ethnic identities leading to a higher voter turnout. Overall, this work highlights how different types of violence have varying effects on voter participation, and how these effects are conditioned.

Examining The Development Of Collective Classroom Efficacy At The Secondary Level, Bradley K. Dutson

All Graduate Theses and Dissertations, Fall 2023 to Present

How can educators develop cohesive and productive learning communities at the secondary level? Prior research has investigated how classrooms develop collective classroom efficacy (CCE) or the shared belief that, as a classroom, they can achieve their learning goals together as a community. Previous studies suggest that CCE at the elementary level is developed with a teacher acting in the role of a community organizer. The teacher employs social and academic practices which incorporate the use of relevance, relationship, and responsibility. These help to establish four key elements of developing CCE which include: 1) a positive classroom environment, (2) persistence and …

Pressure Recovery Analysis Downstream Of Valves And Meters: An Experimental And Numerical Investigation, Stephen J. Sanders

All Graduate Theses and Dissertations, Fall 2023 to Present

In pressurized water systems, flow control devices such as valves and meters cause pressure losses that can affect energy efficiency and measurement accuracy. Industry standards assume that all devices recover within the same distance downstream, but this may not be true for all device types. In this study we used laboratory testing and computer modeling to determine how far downstream pressure stabilizes after flowing through various valves and meters. Devices like Venturi meters recovered pressure quickly, while orifice plates required longer distances and resulted in greater permanent energy loss. In most cases, pressure recovered within four to six pipe diameters. …

The 6th International Workshop On Talent And Management Computing (Tmc 2025), Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for leaders to deliver intelligence for effective management for organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 6th International Workshop on Talent and Management Computing …

A Review: The Beauty Of Serendipity Between Integrated Circuit Security And Artificial Intelligence, Chen Dong, Decheng Qiu, Bolun Li, Yang Yang, Chenxi Lyu, Dong Cheng, Hao Zhang, Zhenyi. Chen

Research Collection School Of Computing and Information Systems

Integrated circuits are the core of a cyber-physical system, where tens of billions of components are integrated into a tiny silicon chip to conduct complex functions. To maximize utilities, the design and manufacturing life cycle of integrated circuits rely on numerous untrustworthy third parties, forming a global supply chain model. At the same time, this model produces unpredictable and catastrophic issues, threatening the security of individuals and countries. As for guaranteeing the security of ultra-highly integrated chips, detecting slight abnormalities caused by malicious behavior in the current and voltage is challenging, as is achieving computability within a reasonable time and …

76 | Maresha Iv: The Subterranean Complexes Of The Hellenistic City, Ian Stern

IAA Reports—Monograph Series of the Israel Antiquities Authority

This volume provides an archaeological study of 152 subterranean complexes at ancient Maresha, including an overview of the site, geological background, typological analysis of chamber types, and documentation of all surveyed installations. Two brief excavation reports offer insights into material culture and daily life during the Hellenistic period. Carved decorative elements—such as niches, altars, reliefs, and betyls—highlight religious diversity and cultural syncretism among Maresha’s residents. Twenty-one inscriptions, mostly Greek with three Semitic, provide rare direct evidence of the activities, identities, and experiences of individuals who used these underground spaces, adding a human dimension to the material findings. Special attention is …

Solving Two-Stage Stochastic Integer Programs Via Representation Learning, Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang

Research Collection School Of Computing and Information Systems

Solving stochastic integer programs (SIPs) is extremely intractable due to the high computational complexity. To solve two-stage SIPs efficiently, we propose a conditional variational autoencoder (CVAE) for scenario representation learning. A graph convolutional network (GCN) based VAE embeds scenarios into a low-dimensional latent space, conditioned on the deterministic context of each instance. With the latent representations of stochastic scenarios, we perform two auxiliary tasks: objective prediction and scenario contrast, which predict scenario objective values and the similarities between them, respectively. These tasks further integrate objective information into the representations through gradient backpropagation. Experiments show that the learned scenario representations can …

Evowiki: Evaluating Llms On Evolving Knowledge, Wei Tang, Yixin Cao, Yang Deng, Jiahao Ying, Bo Wang, Yizhe Yang, Yuyue Zhao, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Yong Liao

Research Collection School Of Computing and Information Systems

Knowledge utilization is a critical aspect of LLMs, and understanding how they adapt to evolving knowledge is essential for their effective deployment. However, existing benchmarks are predominantly static, failing to capture the evolving nature of LLMs and knowledge, leading to inaccuracies and vulnerabilities such as contamination. In this paper, we introduce EvoWiki, an evolving dataset designed to reflect knowledge evolution by categorizing information into stable, evolved, and uncharted states. EvoWiki is fully auto-updated, enabling precise evaluation of continuously changing knowledge and newly released LLMs. Through experiments with Retrieval-Augmented Generation (RAG) and Continual Learning (CL), we evaluate how effectively LLMs adapt …

Bhvit: Binarized Hybrid Vision Transformer, Tian Gao, Yu Zhang, Zhiyuan Zhang, Huajun Liu, Kaijie Yin, Chengzhong Xu, Hui Kong

Research Collection School Of Computing and Information Systems

Model binarization has made significant progress in enabling real-time and energy-efficient computation for con-volutional neural networks (CNN), offering a potential solution to the deployment challenges faced by Vision Transformers (ViTs) on edge devices. However, due to the structural differences between CNN and Transformer architectures, simply applying binary CNN strategies to the ViT models will lead to a significant performance drop. To tackle this challenge, we propose BHViT, a binarization-friendly hybrid ViT architecture and its full binarization model with the guidance of three important observations. Initially, BHViT utilizes the local information interaction and hierarchical feature aggregation technique from coarse to fine …

Quantizing Text-Attributed Graphs For Semantic-Structural Integration, Jianyuan Bo, Hao Wu, Yuan Fang

Research Collection School Of Computing and Information Systems

Text-attributed graphs (TAGs) have emerged as a powerful representation for modeling complex relationships across diverse domains. With the rise of large language models (LLMs), there is growing interest in leveraging their capabilities for graph learning. However, current approaches face significant challenges in embedding structural information into LLM-compatible formats, requiring either computationally expensive alignment mechanisms or manual graph verbalization techniques that often lose critical structural details. Moreover, these methods typically require labeled data from source domains for effective transfer learning, significantly constraining their adaptability. We propose STAG, a novel self-supervised framework that directly quantizes graph structural information into discrete tokens using …

Akma+: Security And Privacy-Enhanced And Standard-Compatible Akma For 5g Communication, Guomin Yang, Guomin Yang, Yingjiu Li, Minming Huang, Zilin Shen, Imtiaz Karim, Ralf Sasse, David Basin, Elisa Bertino, Jian Weng, Hwee Hwa Pang, Deng, Robert H.

Research Collection School Of Computing and Information Systems

The Authentication and Key Management for Applications (AKMA) protocol is a fundamental building block for security and privacy of 5G cellular networks. Therefore, it is critical that the protocol is free of vulnerabilities that can be exploited by attackers. Unfortunately, based on a detailed analysis of AKMA, we show that AKMA has several vulnerabilities that may lead to security and privacy breaches.We define AKMA+, an enhanced protocol for 5G communication that protects against security and privacy breaches while maintaining compatibility with existing standards. AKMA+ includes countermeasures for protecting communication between the user equipment (UE) and application functions (AFs) from attackers, …

Colloquial Singaporean English Style Transfer With Fine-Grained Explainable Control, Jinggui Liang, Dung Vo, Yap Hong Xian, Hai Leong Chieu, Kian Ming A. Chai, Jing Jiang, Lizi Liao

Research Collection School Of Computing and Information Systems

Colloquial Singaporean English (Singlish) is an informal English marked by a unique blend of languages reflecting Singapore’s multicultural identity. Style transfer between Singlish and Standard (formal) English is vital for various applications, yet existing methods often lack explainability and fine-grained control. To fill this gap, we contribute in two key ways. First, we construct a large, high-quality dataset of formal and informal sentences, annotated across six linguistic aspects—Syntax, Lexical Borrowing, Pragmatics, Prosody/Phonology, Emoticons/Punctuation, and Code-Switching—with detailed explanations. Starting with manually annotated cases, we scaled the dataset to 140K with ensured quality. Second, inspired by the “Society of Mind” theory, we …

Connecting Giants: Synergistic Knowledge Transfer Of Large Multimodal Models For Few-Shot Learning, Hao Tang, Shengfeng He, Jing Qin

Research Collection School Of Computing and Information Systems

Few-shot learning (FSL) addresses the challenge of classifying novel classes with limited training samples. While some methods leverage semantic knowledge from smaller-scale models to mitigate data scarcity, these approaches often introduce noise and bias due to the data's inherent simplicity. In this paper, we propose a novel framework, Synergistic Knowledge Transfer (SYNTRANS), which effectively transfers diverse and complementary knowledge from large multimodal models to empower the off-the-shelf few-shot learner. Specifically, SYNTRANS employs CLIP as a robust teacher and uses a few-shot vision encoder as a weak student, distilling semantic-aligned visual knowledge via an unsupervised proxy task. Subsequently, a training-free synergistic …