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Fred Luthans, Unl Business Management, Positive Organizational Behavior, Mark Griep, Fred Luthans Jul 2026

Fred Luthans, Unl Business Management, Positive Organizational Behavior, Mark Griep, Fred Luthans

UNL ORCA Interview Series

Fred Luthans was awarded the ORCA in 2008. He was born in Clinton, Iowa in 1939. He earned three degrees from the University of Iowa in Iowa City, located only a few miles from Clinton. His bachelor's was in mathematics in 1961, a Master’s of Business Administration in ‘62, PhD in Management and Psychology in 1965. After serving two years as a captain in the Army at West Point, where he taught psychology and leadership, he joined the University of Nebraska-Lincoln as an Associate Professor of Management. He's had a remarkable career, but I'll only mention three major distinctions. His …

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Exploring The Role Of Community Leaders In Building Community Resilience Against Climate Disasters: A Case Study Of A Rural Climate Vulnerable Community, Daniel Tinyogtaa Adama Jul 2026

Exploring The Role Of Community Leaders In Building Community Resilience Against Climate Disasters: A Case Study Of A Rural Climate Vulnerable Community, Daniel Tinyogtaa Adama

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Community resilience is widely recognized as a participatory approach to managing climate disasters. However, limited empirical research specifically examines how community leaders carry out the work of building that resilience in rural, climate-vulnerable communities. This qualitative case study addressed that issue by exploring the role of community leaders in building resilience against climate disasters in a rural, climate-vulnerable Midwestern community with a history of such events. Guided by three research questions, the study investigated how leaders identified and leveraged local assets and social networks, the strategies they used to promote collaboration, communication, and shared decision-making, and how their roles and …

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An Automated Surrogate-Assisted Optimization Framework For Rapid Microfluidic Channel Design Of Point-Of-Care Diagnostic Devices, Ronald Jose, Yunjian Qiu, Lin Jiang, Yun Wang Jul 2026

An Automated Surrogate-Assisted Optimization Framework For Rapid Microfluidic Channel Design Of Point-Of-Care Diagnostic Devices, Ronald Jose, Yunjian Qiu, Lin Jiang, Yun Wang

Faculty Research, Scholarly, and Creative Activity

Saliva-based point-of-care diagnostic devices provide accessible, non-invasive health monitoring but face engineering challenges in ensuring reliable, cost-effective performance outside laboratory settings. Traditional design approaches rely heavily on repeated cycles of simulation, design, and prototyping, creating computational bottlenecks that slow innovation. This work introduces an automated surrogate-assisted optimization framework that integrates multiphysics simulation data, surrogate modeling, and multi-objective optimization to accelerate microchannel design. Synthetic datasets generated through multiphysics simulations are used to train a neural network surrogate model capable of predicting flow performance metrics, including the Dean number and pressure drop. This trained model achieved a mean squared error of 0.000012 …

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Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng Jul 2026

Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng

Food and Machinery

Plastics are widely used in food packaging, storage, processing, and other food-related applications, playing a vital role in extending food shelf life, reducing material loss, and promoting food circulation. However, these plastic products that come into direct or indirect contact with foods can release micro- and nanoplastics through various physical and chemical processes. These micro- and nanoplastics can accumulate in the human body through bioaccumulation and other pathways and have become one of the emerging contaminants threatening food safety and human health. This review provides a comprehensive summary of the research progress on the generation pathways, release mechanisms, potential health …

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An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua Jul 2026

An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua

Food and Machinery

Targeting the three major obstacles—information fragmentation, delayed risk response, and ambiguous accountability—in food cold chain safety governance, this study constructs an integrated cold chain safety traceability and monitoring system centered on artificial intelligence technology and incorporating the Internet of Things and blockchain. On the basis of a comprehensive risk analysis of the entire food cold chain process, and drawing on theoretical frameworks including supply chain resilience theory, information asymmetry theory, HACCP, and ISO 22000 food safety standards, this study designs a system architecture organized around five functional modules: multi-source data collection and traceability, dynamic food quality assessment, risk prediction and …

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Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini Jul 2026

Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini

Food and Machinery

[Objective] To address the problems of low trajectory tracking accuracy, delayed dynamic response, poor adaptability to external disturbances, and difficulty in meeting the requirements of high-speed and high-precision food sorting in the existing end-effector control of parallel food sorting robots. [Methods] A food sorting system based on a DELTA parallel robot was developed, and an end-effector control strategy integrating an improved whale optimization algorithm, adaptive fuzzy control, and nonsingular fast terminal sliding mode control was designed. Adaptive fuzzy control was used to adjust the output gain in real time to enhance controller tracking accuracy. The improved whale optimization algorithm was …

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Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi Jul 2026

Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi

Food and Machinery

[Objective] The aim is to explore the effect of double-bin plansifter motion parameters on the material sieving efficiency of different systems after wheat milling. [Methods] The milled materials produced by the break system, tailing roll, and scratch system, obtained from a typical milling production line, were selected as raw materials. The double-bin plansifter was used to sieve different materials to investigate the variations in residence time inside the sieve body and in sieving performance under different motion parameters of milled materials in each system. The motion parameters with the optimal sieving performance for the milled materials from each system were …

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Effect Of Modified Hemoglobin As A Substitute For Sodium Nitrite On The Quality Of Ham Sausage, Qu Shulei, Ma Chao, Yao Xianqi, Du Dongxu, Wang Wei, Liu Yunguo Jul 2026

Effect Of Modified Hemoglobin As A Substitute For Sodium Nitrite On The Quality Of Ham Sausage, Qu Shulei, Ma Chao, Yao Xianqi, Du Dongxu, Wang Wei, Liu Yunguo

Food and Machinery

[Objective] To improve the utilization rate of porcine blood and the safety of ham sausage. [Methods] Under specific conditions, hemoglobin in porcine blood is modified to produce glycosylated nitrosohemoglobin (GN-Hb). Different amounts of GN-Hb are added to replace sodium nitrite in heat-treated ham sausages. The quality characteristics of the sausages are evaluated through texture analysis, nutritional testing, color difference assessment, color acceptability, elasticity, chewiness, and overall acceptability. [Results] When the sodium nitrite dosage is 100 mg/kg and the GN-Hb dosage is 2.5 g/kg, high-temperature sterilized ham sausage containing the new pigment shows significant improvement in color and cohesion compared with …

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Optimization Of Probiotic Fermentation Process And Effects Of Drying Methods On The Quality Of Sea Buckthorn Leaves, Dong Xiaoyue, Yun Xueyan, Zhang Lu, Dong Tongliga, Zhao Chenxi, Te Jinwei, Wang Xiukuan, Hao Qian, Miao Meishu, Su Ke Jul 2026

Optimization Of Probiotic Fermentation Process And Effects Of Drying Methods On The Quality Of Sea Buckthorn Leaves, Dong Xiaoyue, Yun Xueyan, Zhang Lu, Dong Tongliga, Zhao Chenxi, Te Jinwei, Wang Xiukuan, Hao Qian, Miao Meishu, Su Ke

Food and Machinery

[Objective] To investigate the effects of probiotic fermentation conditions and drying methods on the quality of fermented sea buckthorn leaf products. [Methods] Lactiplantibacillus plantarum is used for fermentation. The fermentation process of sea buckthorn leaves is optimized through single-factor experiments combined with response surface methodology. Fermented sea buckthorn leaf extract is prepared under the optimal fermentation conditions and subsequently processed into freeze-dried powder by direct freeze-drying and spray freeze-drying, with or without low-voltage electrostatic field assistance. The effects of different treatments on viable cell counts, flavonoid and polyphenol retention rates, water activity, and in vitro digestion characteristics are evaluated. [Results] …

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Research Progress On Tubular Chain Conveyors And Their Applications In The Grain, Oil And Food Industry, Wu Weiwei, Xia Chaoyong, Sui Sai Jul 2026

Research Progress On Tubular Chain Conveyors And Their Applications In The Grain, Oil And Food Industry, Wu Weiwei, Xia Chaoyong, Sui Sai

Food and Machinery

Tubular chain conveyors have become core equipment in modern bulk material handling by virtue of their significant advantages, including highly efficient conveying, fully enclosed operation, and three-dimensional flexible spatial layout. This paper systematically reviews the current status and progress of research on tubular chain conveyors both domestically and internationally, and provides an in-depth analysis of their technological evolution, core theoretical framework, and industrial adaptability. Emphasis is placed on reviewing their engineering applications in the grain, oil, and food industry. In view of the remaining deficiencies in current research concerning adaptability to extreme operating conditions, multi-physics coupling mechanism modeling, large-scale implementation …

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Modeling Grain Selection For Single-Crystal Thin-Wall Inconel 718 Tubes By Laser Powder Bed Fusion, Eman Zayed Jul 2026

Modeling Grain Selection For Single-Crystal Thin-Wall Inconel 718 Tubes By Laser Powder Bed Fusion, Eman Zayed

Mechanical Engineering

No abstract provided.

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Staff Education On Improving Abnormal Involuntary Movement Scale (Aims) Documentation And Monitoring For Adult Psychiatric Patients Prescribed Antipsychotic Medications In An Outpatient Clinic, Simisola M. Asekun Jul 2026

Staff Education On Improving Abnormal Involuntary Movement Scale (Aims) Documentation And Monitoring For Adult Psychiatric Patients Prescribed Antipsychotic Medications In An Outpatient Clinic, Simisola M. Asekun

Walden Dissertations and Doctoral Studies

In outpatient psychiatric settings, inconsistent recordkeeping and a lack of systematic monitoring continue despite the availability of established tools like Abnormal Involuntary Movement Scale (AIMS). The goal of this Doctor of Nursing Practice project was to enhance the documentation and quality improvement through staff education and monitoring of AIMS in adult mental patients receiving antipsychotic medications. Tardive dyskinesia (TD) is still a serious, frequently misdiagnosed side effect of long-term antipsychotic therapy that significantly affects functional outcomes and patient quality of life. This project was guided by the following practice-focused question: How does implementing standardized AIMS documentation and electronic health record …

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Non-Adherence To Antidiabetic Medications Among Rural Jamaicans, Norma Edwards Jul 2026

Non-Adherence To Antidiabetic Medications Among Rural Jamaicans, Norma Edwards

Walden Dissertations and Doctoral Studies

Type 2 diabetes mellitus (T2DM) poses significant health challenges globally, with individuals and health care systems in rural communities particularly affected. Adherence to antidiabetic medication is crucial for effective management of T2DM. Still, people with T2DM encounter barriers that lead to nonadherence, resulting in poor glycemic control, increased complications, and higher health care costs. The purpose of this study was to explore the perceptions and experiences of rural Jamaicans regarding the factors influencing nonadherence to antidiabetic medications. The basic qualitative study was underpinned by social cognitive theory. Semi-structured interviews were conducted with eight rural Jamaican participants with T2DM. Interview data …

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Board Of Directors Meeting Minutes (July 13, 2026), Dmacc Board Of Directors Jul 2026

Board Of Directors Meeting Minutes (July 13, 2026), Dmacc Board Of Directors

Board of Directors Meeting Minutes

This file contains the minutes from the Des Moines Area Community College Board meeting held on July 13, 2026.

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Facilitating Conditions And Gender Gaps: Predicting Intention To Adopt Digital Education Resources Among Teachers, Bijaya Shrestha, Virginia Clinton-Lisell Jul 2026

Facilitating Conditions And Gender Gaps: Predicting Intention To Adopt Digital Education Resources Among Teachers, Bijaya Shrestha, Virginia Clinton-Lisell

Education, Health & Behavior Studies Student Publications

This study examined factors shaping school teachers’ intention to adopt Digital Educational Resources (DER) in Kathmandu Valley, Nepal, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Factors included were performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioural intention. Fifty-six (56) teachers completed an online survey measuring those factors. Among all the factors, facilitating conditions were the marginally significant positive predictor of behavioural intention to adopt DER. Male teachers reported marginally higher behavioural intention (p =.05) to adopt DER compared to female teachers. However, gender was not a significant moderator in relationship between behavioural intention …

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Maura Jenkins V. Harrisburg Rotary Club Jul 2026

Maura Jenkins V. Harrisburg Rotary Club

2026 Decisions

USDC for the Middle District of Pennsylvania

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Feasibility Of Using Untreated And Treated Rice Straw Fibers As A Modifier For Hot Mix Asphalt, Aditya Chowdhury Jul 2026

Feasibility Of Using Untreated And Treated Rice Straw Fibers As A Modifier For Hot Mix Asphalt, Aditya Chowdhury

Civil Engineering Theses

Flexible pavements are subject to progressive deterioration driven by repeated traffic loading, environmental exposure, and material degradation, which causes distress. This study presents an integrated research framework that combines laboratory performance evaluation of rice straw fiber (RSF)-modified hot mix asphalt with machine learning-based pavement distress prediction to advance sustainable pavements. Three plant-produced HMA mixtures were modified with untreated and alkali-treated RSF at dosage levels of 0.2%, 0.4%, and 0.6% by total mixture weight. FTIR spectroscopic analysis confirmed that alkali treatment induced significant chemical modifications to the fiber surface, increasing hydroxyl group availability and enhancing fiber–binder adhesion. Alkali-treated RSF consistently outperformed …

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Using “You” As A Subject In Biology Assessment Questions: Examining Student Preferences For Second-Person Framing, Noelle Clark, Kate Hill, Jeremy L. Hsu Jul 2026

Using “You” As A Subject In Biology Assessment Questions: Examining Student Preferences For Second-Person Framing, Noelle Clark, Kate Hill, Jeremy L. Hsu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In college biology courses, exams and quizzes are often used to assess students’ knowledge and performance. Since assessments are a crucial part of biology classes, there has been a wide range of work examining how assessment questions are written, revealing that small changes in how such questions are worded may have large impacts on students’ reading comprehension and performance. One aspect that instructors consider when writing a question is subject framing, i.e., which individual, if any, is being placed as the focal point of the question. In this study, we focus on the following subject framings, an authentic scientist, a …

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Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof Jul 2026

Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof

Journal of Cybersecurity Education, Research and Practice

The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates …

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Challenges In Scaling R-Tree Spatial Search On Processing-In-Memory, Tasmia Jannat, Michael Gowanlock, Satish Puri Jul 2026

Challenges In Scaling R-Tree Spatial Search On Processing-In-Memory, Tasmia Jannat, Michael Gowanlock, Satish Puri

Computer Science Faculty Research & Creative Works

Spatial query processing is important in scientific, geospatial, and data-intensive applications. R-trees are widely used to index spatial objects, but their query-dependent traversal creates irregular work across different regions. This poster studies the challenges of scaling R-tree spatial search on a commercial Processing-in-Memory (PIM) system. Although PIM reduces CPU to memory data movement by executing search near memory, it does not remove full-pipeline overheads: the host still manages data placement, query batching, kernel launches, result retrieval, and aggregation. Our results show strong DPU-side search acceleration, with PIM kernel speedup ranging from about 20 x to 73 x, but end-to-end speedup …

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Trust And Signaling: An Exploratory Study Of Residential Attitudes Towards Energy Efficiency Advisors And Outdoor Media, Hal T. Nelson, Ivana Osmanovic Jul 2026

Trust And Signaling: An Exploratory Study Of Residential Attitudes Towards Energy Efficiency Advisors And Outdoor Media, Hal T. Nelson, Ivana Osmanovic

Public Administration Faculty Publications and Presentations

As the building sector shifts toward community-led energy efficiency (EE) initiatives to mitigate the climate crisis, scaling adoption requires understanding behavioral drivers. This study examines key drivers of EE measure adoption: perceived non-energy benefits, trusted advisors, and behavioral signaling. This research contributes to the energy policy and social science literature by empirically linking social trust with signaling preferences. It extends existing EE adoption decision theories by identifying distinct clusters of “expert” versus “close” advisors across demographic groups. Data from an experimental survey (n = 238) in Portland, Oregon, were analyzed using principal component analysis (PCA) and multivariate regression modeling. Results …

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Scraping The Earth: Testing Ndvi As An Indicator Of Military Ground Maneuver Within The Israeli Invasion Of The Gaza Strip, Thomas A. Bergeron Jul 2026

Scraping The Earth: Testing Ndvi As An Indicator Of Military Ground Maneuver Within The Israeli Invasion Of The Gaza Strip, Thomas A. Bergeron

LSU Master's Theses

The advancement of open-source (OSINT) and geospatial intelligence (GEOINT) has allowed independent researchers to study human conflict in new ways, with tools that were previously reserved only for state intelligence agencies. In order to advance methodologies, researchers must continue to evaluate new tools to study war.  Valued for its accessibility and moderate spatial resolution, the Normalized Difference Vegetation Index (NDVI) is one such tool that has not been widely systematically tested for its use in an open-source GEOINT investigation of modern conflict. This study tests NDVI as an indicator of military maneuver by leveraging a mixed-method approach against open-source kinetic …

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Operator Theoretic Methods For Coupled Pde In General Geometries, Yuhao Mu Jul 2026

Operator Theoretic Methods For Coupled Pde In General Geometries, Yuhao Mu

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This thesis develops and applies operator theoretic methods applied to coupled PDE analysis in general geometries, in which the coupling involves interchange across a boundary. The general geometries refer to domains with merely Lipschitz continuous boundaries (e.g. any non-convex polygon), as opposed to those with any further smoothness conditions on the boundary. The key results include a new pressure elimination method for coupled fluid–structure interaction (FSI) PDEs with boundary interchange, which allows an explicit semigroup representation of the PDE in terms of just the fluid and structure variables. This novel technique, valid over arbitrary bounded Lipschitz domains, leads to a …

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Law Enforcement Help-Seeking Behaviors And Organizational Mental Health Supports, Jordan Elizabeth Longendorf Jul 2026

Law Enforcement Help-Seeking Behaviors And Organizational Mental Health Supports, Jordan Elizabeth Longendorf

Walden Dissertations and Doctoral Studies

Due to the traumatic and repetitive nature of law enforcement work, mental health support is often needed by officers, but is not consistently sought. Law enforcement leaders need to understand this concern as a leading indicator of workforce well-being, organizational effectiveness, and officers’ willingness to seek needed mental health support. Guided by the conceptual framework of Rickwood and Thomas’s help-seeking behaviors, the purpose of this descriptive phenomenological study was to explore law enforcement officers’ lived experiences of help-seeking behaviors for emotional and mental health issues. Data were collected through six semistructured interviews with current law enforcement officers in four different …

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Regularization-Based Crystallite Size Distribution Analysis Of Pt/C Catalysts From X-Ray Diffraction, Chenglong Ma, Weiyu Shi, Zhongjun Hou Jul 2026

Regularization-Based Crystallite Size Distribution Analysis Of Pt/C Catalysts From X-Ray Diffraction, Chenglong Ma, Weiyu Shi, Zhongjun Hou

Online First

Accurate determination of the platinum (Pt) crystallite size distribution in carbon-supported Pt/C catalysts is critical for evaluating both the initial performance and long-term durability of proton exchange membrane fuel cells (PEMFCs). Conventional characterization approaches—including transmission electron microscopy (TEM), small-angle X-ray scattering (SAXS), and the Scherrer equation—are limited by restricted statistical sampling, sensitivity to support interference, or the inability to resolve the full breadth of the size distribution. In this work, we present a regularization-based inversion framework that extracts the volume-weighted crystallite size distribution directly from X-ray diffraction (XRD) line profiles, without requiring any a priori assumption regarding the functional form …

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Learning Programming In Informal Spaces: Using Emotion As A Lens To Understand Novice Struggles On R/Learnprogramming, Alif Al Hasan, Subarna Saha, Mia Mohammad Imran Jul 2026

Learning Programming In Informal Spaces: Using Emotion As A Lens To Understand Novice Struggles On R/Learnprogramming, Alif Al Hasan, Subarna Saha, Mia Mohammad Imran

Computer Science Faculty Research & Creative Works

Novice programmers experience emotional difficulties in informal online learning environments, where Confusion and Frustration can hinder motivation and learning outcomes. This study investigates novice programmers' emotional experiences in informal settings, identifies causes of emotional struggle, and explores design opportunities for affect-aware support systems. We manually annotated 1,500 posts from r/learnprogramming using the Learning-Centered Emotions framework, applying clustering, and axial coding. Confusion, Curiosity, and Frustration dominated emotional experiences, sometimes co-occurring and linked to early learning stages. Positive emotions were infrequent. The primary emotional triggers included ambiguous errors, unclear learning pathways, and misaligned resources. We identify five key areas where novice programmers …

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Performance Evaluation Of Approximate Nearest Neighbor Search On Nvidia Bluefield-3 Dpu, Sophia Bhoria, Nathan Tibbetts, Arjun Kirubakaran, Alima Subedi, Satish Puri Jul 2026

Performance Evaluation Of Approximate Nearest Neighbor Search On Nvidia Bluefield-3 Dpu, Sophia Bhoria, Nathan Tibbetts, Arjun Kirubakaran, Alima Subedi, Satish Puri

Computer Science Faculty Research & Creative Works

Advanced SmartNICs known as Data Processing Units (DPU) enable in-network data analytics, being equipped with standard processors and accelerators capable of doing custom computation on-NIC. These SmartNICs are advantageous because the host CPU can delegate simpler data analytics tasks, like filtering, to the NIC where the data first arrives. Only data needing further refinement must be passed on to the host CPU. Our benchmarks focus on NVIDIA's commercially available Bluefield-3 DPU. Similarity search, particularly Approximate Nearest Neighbor (ANN) search, is an important domain with wide usage across numerous applications. We explore ANN search on SmartNICs, providing insight into the performance …

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Biotic Therapies For Irritable Bowel Syndrome: Current Interventions, Gina Wodarczyk, Maria Winte, Diana Mastellone, Termen Singh, Joshua Desipio, Sangita Phadtare Jul 2026

Biotic Therapies For Irritable Bowel Syndrome: Current Interventions, Gina Wodarczyk, Maria Winte, Diana Mastellone, Termen Singh, Joshua Desipio, Sangita Phadtare

Division of Gastroenterology and Hepatology Faculty Papers

Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder characterized by recurrent abdominal pain and changes in bowel habits without measurable disease processes. Recent research emphasizes the gut-brain-microbiome (GBM) axis and explores how microbiota influence gastrointestinal and central nervous system functions. Here, we first discuss a brief overview of various treatment approaches for IBS, focusing on interventions such as probiotics, prebiotics, or synbiotics that target the GBM axis in adults with IBS. Relevant trials discussed the use of probiotics, prebiotics, or synbiotics.

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Metabolic Syndrome Is Associated With Increased Mortality In Patients With Breast Or Prostate Cancer, Jessica P Hwang, Ning Zhang, Mercy W Misoi, Sabhi Gull, Zayd A Razouki, Justin R Gregg, Natalia I Heredia, Sharon H Giordano Jul 2026

Metabolic Syndrome Is Associated With Increased Mortality In Patients With Breast Or Prostate Cancer, Jessica P Hwang, Ning Zhang, Mercy W Misoi, Sabhi Gull, Zayd A Razouki, Justin R Gregg, Natalia I Heredia, Sharon H Giordano

Faculty, Staff and Student Publications

We investigated the association of metabolic syndrome (MetS) with mortality in patients with breast and prostate cancer. Breast and prostate cancer cohorts were created retrospectively using the SEER-Medicare database. Patients with first primary breast or prostate cancer diagnosed in 2008-2019 were identified using ICD-O-3 site and histology codes. Among those, patients with MetS were identified using ICD-9/10-CM codes, CPT/HCPCS codes, and prescription drug use from Medicare claims files. We defined continuous enrollment from 12 months before through 12 months after diagnosis, exposure during the first 12 months after diagnosis, and survival follow-up starting 12 months after diagnosis. We used multivariable …

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Genedit: A Context-Aware Equity, Diversity And Inclusion Principles Integration Tool For Software Engineering Education, Chetan Arora, Ajanie Kodagoda Bammanna Arachchige, Jinchun Du, Muhammad Aamir Cheema, Aster Cosmos, Antonette Shibani, Vasudha Malhotra, Naeem Janjua, Afaq Shah Jul 2026

Genedit: A Context-Aware Equity, Diversity And Inclusion Principles Integration Tool For Software Engineering Education, Chetan Arora, Ajanie Kodagoda Bammanna Arachchige, Jinchun Du, Muhammad Aamir Cheema, Aster Cosmos, Antonette Shibani, Vasudha Malhotra, Naeem Janjua, Afaq Shah

Research outputs 2022 to 2026

Equity, diversity and inclusion (EDI) is widely acknowledged as essential in software engineering (SE), yet day-to-day integration into teaching remains uncommon due to time pressures, low instructor confidence, and fragmented resources. We present GenEDIt, a purpose-built, LLM-backed chatbot that helps educators weave EDI into SE education artefacts without altering intended learning outcomes. Unlike generic chat interfaces, GenEDIt provides a tailored UI and workflow, and embeds retrieval over a vetted EDI knowledge base. The tool supports five educator-centred modes - (1) methods for integrating EDI into current activities; (2) examples/datasets; (3) EDI-integrated assessments and rubrics; (4) reflective prompts; and (5) rapid …

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