Digital Commons Network^™

Study On Determination Of Optimal Parameters For Shewhart Control Charts And Other Related Methodologies, Sandeep .

Doctoral Theses

Taguchi’s on-line quality control methods attach importance to the reduction of variation of a quality characteristic about an engineering target. The quality characteristic can be nominal-the-best, higher-the-better, or lower-the-better. He introduced the concept of the loss function. The loss incurred to society is impacted by the variation or deviation from the target. The optimal sampling interval advocated by Taguchi in this context is important. However, Taguchi didn’t consider certain parameters like the rate of production, loss incurred due to false alarms, loss incurred due to non-detection of process abnormalities. In our prescribed methodology, these parameters have been considered along with …

Team Approach To Increase Staff Happiness, Cindy Dancel, Chereeka Garner, Jason D. Phillips, Christopher Saclolo

Faculty Scholarship and Creative Works

"Having fun isn't hard when you've got a library card" (Arthur Read) but can be quite a challenge when you work at the library. Check out this session to discover ways an employee driven, administration supported library committee has worked to increase employee morale, build community among new and veteran library staff members, and provide off campus networking opportunities with minimal planning, building wide collaboration, and budget limitations.

Karma Feels Good After Being Unfairly Excluded, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – Call it karma, schadenfreude or any number of other terms, but nearly everyone has taken joy at someone else's misfortune, especially if the victim had snubbed others.

September 23, 2025 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Dilemmas Encountered While Planning Social And/Or Political Elementary Mathematics Tasks, Amanda Sugimoto, Simon Byeonguk Han, Courtney Koestler, Eva Thanheiser, Mathew Felton-Koestler, Molly Robinson

Mathematics and Statistics Faculty Publications and Presentations

A mathematical task rooted in social and/or political contexts has the potential to engage students in exploring their own real-ities and learning about the realities of others while building their mathematical knowledge. While there are planning and in-structional practices recommended for these types of tasks, no single practice can fully capture the nuances and challenges thatteachers might encounter. Therefore, this study identified dilemmas encountered by a team of mathematics education research-ers while planning a mathematical task rooted in social and/or political contexts. Using qualitative analysis, the researchersidentified three planning dilemmas: (a) what social and/or political goal to establish, (b) how …

Quality Improvement Project Using Standardized Teaching Tools To Improve Skills Proficiency, Katrina Walker

Doctor of Nursing Practice Projects

Studies show that inconsistencies in teaching and evaluating skills proficiency in nursing programs can lead to student failure, delayed progression, and decreased faculty satisfaction. The purpose and aim of this quality improvement project was to determine whether the use of an evidence-based, standardized tool for teaching and evaluating Foley catheter insertion improved faculty satisfaction and teaching confidence compared to faculty-created checklists. The project utilized a quasi-experimental design guided by the Iowa Model of Evidence-Based Practice and Kotter’s 8-Step Change Model. The Bachelor of Science in Nursing (BSN) faculty implemented the standardized tool and completed pre- and post-intervention Likert-scale surveys measuring …

Unlocking Citizen Confidence: Examining Trust And Continuance Intentions In Digital Services, Muhammad Ovais Ahmad, Iftikhar Ahmed, Osama Al-Baik, Abdelrahman Hamza Hussein, Mwaffaq Ahmad Abu Alhaija, Abdullah Albizri

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Purpose – This study aims to examine the factors that influence citizens intention to continue using e-government services in Pakistan. Design/methodology/approach – Data were collected through an online survey of 641 Pakistani citizens. The responses were analyzed using partial least squares structural equation modeling. Findings – This study shows that disposition to trust positively correlates with both trust in the internet and trust in government. Notably, citizens’ satisfaction, perceived usefulness, confirmation of expectations and perceived risk significantly influence their intention to continue using e-government services. Trust in the internet emerged as a significant predictor of continuance intention, while trust in …

Debt Accumulation In Fossil Fuel-Reliant Localities During The Shale Boom And Implications For The Energy Transition, Brandon Charles

Center for Policy Research

The energy transition away from fossil fuels poses long-term economic risks for communities reliant on oil and natural gas production and some may face exceptionally difficult challenges in adapting to the change. Bonds issued by these localities during the shale boom may undermine their financial resilience as shale activity dwindles. Declining tax revenue may undermine their ability to service the debt and maintain the associated physical assets. This study addresses the extent to which local governments in oil- and natural gas-producing communities accumulated significantly more municipal debt during the shale boom than other communities. The analysis uses bond issuance data …

Executive Committee - Minutes, 09/23/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

The Mediated Message Model: Understanding Faculty Genai Adoption Decision-Making And Guiding Optimal Faculty Development, Jennifer R. Banas, Sandra Beyda-Lorie

Health Sciences and Physical Education Faculty Publications

This study highlights that understanding how faculty adopt technology requires integrated theoretical frameworks rather than the single-theory models often seen in current research. Faculty responses to disruptive technologies, such as generative AI (GenAI), involve complex psychological processes that are frequently overlooked by traditional models. To address this, we developed the Mediated Message Model (MMM) by combining communication theory, behavioral prediction, and motivational psychology, targeting four gaps: fragmented focus, lack of contextual sensitivity, limited process understanding, and constraints. We utilized this framework to design and evaluate a faculty development program featuring a book club format, involving fifty-six faculty members across two …

Beyond Personal Responsibility: Government Support For The Substantive Human Condition, Martha T. Mccluskey

Contributions to Books

Government protection against systemic harm to human well-being is stymied by the liberal idea that power is most legitimately wielded by autonomous individuals taking personal responsibility for their substantive well-being. Instead, a robust vision of democracy and socioeconomic justice requires grounding legitimate power in institutional responsibility, replacing the formal individual actor of liberal theory with the universally embodied, embedded human subject developed in Martha Fineman’s Vulnerability Theory. This chapter connects the message of personal responsibility in neoliberal US welfare reform policies to rationales defending the government’s failure to alleviate systemic human harm in the 2008 financial crisis and the accelerating …

China Maritime Report #50: Foggy With A Chance Of Surprise Attack: Pla Amphibious Deception In A Taiwan Scenario, Ian Easton

CMSI China Maritime Reports

Main Findings

• The People’s Liberation Army (PLA) views deception as a force multiplier and war-winning weapon. The PLA leadership reserves a special place of veneration for wartime commanders who can employ deception to obtain surprise, something Xi Jinping refers to as “excelling at stratagem.”
• In January 1955, the PLA launched a surprise attack on the Yijiangshan islands, then controlled by the Republic of China (ROC) government in Taipei. This campaign remains a case study in the People’s Republic of China (PRC) for how to conduct amphibious operations and catch defenders off guard.
• Empirical historical research shows that amphibious operations, while …

Powering Up Clinical Scholarship In Neonatology, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This presentation is designed for neonatology fellows, focusing on developing clinical scholarship skills. Key topics include research question formation (PICOT, FAC Rubric), neonatology resource navigation (databases, BrowZine, health statistics, open data), advanced literature search techniques (Boolean, proximity, subject headings), critical appraisal tools, systematic review and publishing workflow, TriNetX platform, and a summary of HSLIC educational and research support services. The session aims to equip fellows to engage in evidence-based scholarship and professional growth.

Faculty Senate Meeting, 60th Senate Agenda (9/23/2025), Csusb Faculty Senate

CSUSB Faculty Senate records

No abstract provided.

Faculty Senate Meeting, 60th Senate Minutes (9/23/2025), Csusb Faculty Senate

CSUSB Faculty Senate records

No abstract provided.

Improving Staff Knowledge On Hourly Rounding Using The 4ps To Reduce The Fall Rate, Chukwuemeka Igboanugo

Walden Dissertations and Doctoral Studies

I designed this Doctor of Nursing Practice (DNP) project to develop an educational program that increases staff knowledge of hourly rounding using an evidence-based approach, specifically pain, position, potty, and possession (the 4Ps), to prevent falls among residents in a long-term care facility. According to facility leadership, the observed gap in practice was the nursing staff members’ lack of knowledge in performing hourly rounding. The facility’s fall records for the lockdown units indicated a surge in fall rate, with 32 falls among 62 residents per month, reflecting a need for action. The practice-focused question guiding the project was: For staff …

Executive Committee - Agenda, 09/23/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Und Leads Implementation Team Meeting Agenda — September 23, 2025, University Of North Dakota

LEADS Implementation Documents

Agenda for the September 23, 2025 meeting of the UND LEADS Implementation Team. The agenda includes subgroup reports, discussion of the Kelley Award for Excellence in Shared Governance, and review of draft Learning recommendations.

Rust '72 Champions Liberal Arts As Essential For Business Leaders, Chris Francis

News and Events (Discontinued Series)

No abstract provided.

Minutes, Faculty Research And Development Committee Meeting, Tuesday, September 23, 2025, Faculty Research And Development Committee

Faculty Research and Development Committee Minutes

No abstract provided.

Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, And Validation Study, Liwei Wang, Qiuhao Lu, Rui Li, Taylor B. Harrison, Heling Jia, Ming Huang, Heidi Dowst, Rui Zhang, Hoda Badr, Jungwei W. Fan, Hongfang Liu

Department of Medical Oncology Faculty Papers

BACKGROUND: Complementary therapies are being increasingly used by cancer survivors. As a channel for customers to share their feelings, outcomes, and perceived knowledge about the products purchased from e-commerce platforms, Amazon consumer reviews are a valuable real-world data source for understanding cancer survivorship care needs.

OBJECTIVE: In this study, we aimed to highlight the potential of using Amazon consumer reviews as a novel source for identifying cancer survivorship care needs, particularly related to symptom self-management. Specifically, we present a publicly available, manually annotated corpus derived from Amazon reviews of health-related products and develop baseline natural language processing models using deep …

Active Learning And Nclex-Rn Pass Rate On First Attempt In Bsn And Adn Programs, Janette Tingson

Walden Dissertations and Doctoral Studies

Failing the NCLEX-RN on the first attempt affects not only the students and their families but also nursing programs. To increase NCLEX-RN pass rates, nursing programs are shifting from traditional teaching to active learning in their aim to produce nursing graduates who will pass the NCLEX-RN exams on the first attempt. The purpose of this descriptive, correlational study, guided by theory of constructivism, was to determine if there is a relationship between faculty’s use of active learning strategies (ALS) and nursing students’ NCLEX-RN pass rates on the first attempt in bachelor of science in nursing (BSN) and associate degree in …

Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen

Graduate Student Scholarship

Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …

Towards Efficient And Privacy Preserving Ecg Classification: Federated Transfer Learning Enhanced By Ckks-Based Homomorphic Encryption, Anmar A. Al-Janabi, Sufyan Al-Janabi, Belal Al-Khateeb

Baghdad Science Journal

In healthcare, maintaining both the accuracy and privacy of medical diagnoses collaboratively is a significant challenge. To the best of our knowledge, this research proposes the first end-to-end Privacy-Preserving Federated Transfer Learning (PPFTL) framework for 2-D ECG arrhythmia classification. Incorporating Transfer Learning (TL) narrows the gap between the encrypted and non-encrypted framework versions in the training step. It involves the transformation of raw Electrocardiogram (ECG) signals into 2-D ECG grayscale images. The dataset is disseminated after transformation to images and then fed as input into the local models, where MobileNetV2 serves as a feature extractor. The training process for each …

Proactive Siem-Based Framework For Cyberattack Monitoring And Classification, Zeyad Safaa Younus, Mafaz Alanezi

Baghdad Science Journal

Cybersecurity is a crucial aspect of modern information technology, encompassing safeguarding computer systems, network resources, and information from cyberattacks. Wazuh is an open-source security information and event management (SIEM) technology for real-time attack detection but faces challenges like log analysis complexity and alert overloading, which raises the number of false-positive alerts and affects accuracy. This paper presents three hierarchical models for real-time attack prediction using Wazuh to gather real-time dataset from various network endpoints and then preprocess them using a variety of tools. Subsequently, mutual-information, principal component analysis (PCA), and independent component analysis (ICA) are utilized for feature reduction and …

A Heart Disease Prediction Model Applying Deep Learning And Combined Fuzzy-Mutual Information Based Feature Selection, Annwesha Banerjee Majumder, Somsubhra Gupta, Sourav Majumder, Dharmpal Singh, Sumit Das, Tanusree Saha

Baghdad Science Journal

Despite remarkable advancements in medical technology, cardiovascular disease persists as a significant contributor to global mortality. This research addresses the imperative need for timely disease identification through the proposition of a heart disease prediction model, utilizing a merged 1D Convolutional Neural Network (CNN). The main aim of the research is to mitigate the inherent drawbacks of single-layer designs, with a particular emphasis on enhancing hierarchical feature extraction, broadening the model’s receptive fields, and facilitating more efficient non-linear transformations. The dataset has been collected from UCI data repository. The study methodology includes a new feature selection strategy that combines Mutual Information …

Forecasting And Predictive Model Building For Heart Failure Data Using Machine Learning Techniques, K Sukanya, Khadar Babu Sk

Baghdad Science Journal

Heart failure is a critical medical condition with significant global morbidity and mortality rates. Early prediction of Heart Failure risk is paramount for timely intervention and improving patient outcomes. Leveraging the power of machine learning, this study conducts an in-depth examination of Heart Failure prediction using a comprehensive dataset. The dataset encompasses clinical, demographic and laboratory data of Heart Failure patients. A variety of machine learning techniques like logistic regression, decision tree and random forest are harnessed to construct predictive models for Heart Failure. The analysis integrates essential data preprocessing techniques like missing value imputation, feature scaling and feature selection …

Optimizing Webrtc Video Conferencing Platform Assisted By Sdn Approach, Sanabil A. Mahmood, Naktal Moaid Edan, Monjikheralla Monjikheralla

Baghdad Science Journal

To support the best path among several paths, the network must choose the path with the best path to support Quality of Service (QoS), especially for real-time interactive video applications, such as distance learning and video conferencing. As long as the chosen routing protocol path is fixed by network topologies such as integrated services (ISs), which may not provide the highest possible performance. In addition, software-defined networking (SDN) intelligence with web-based real-time communications (WebRTC) can determine the most efficient data packet routing, which reduces latency and improves real-time communications. The main objective of this paper is to build and implement …

Draft Final Butte Mine Waste Repository Geotechnical Investigation Work Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, And Validation Study, Liwei Wang, Qiuhao Lu, Rui Li, Taylor B Harrison, Heling Jia, Ming Huang, Heidi Dowst, Rui Zhang, Hoda Badr, Jungwei W Fan, Hongfang Liu

Faculty, Staff and Students Publications

Background: Complementary therapies are being increasingly used by cancer survivors. As a channel for customers to share their feelings, outcomes, and perceived knowledge about the products purchased from e-commerce platforms, Amazon consumer reviews are a valuable real-world data source for understanding cancer survivorship care needs.

Objective: In this study, we aimed to highlight the potential of using Amazon consumer reviews as a novel source for identifying cancer survivorship care needs, particularly related to symptom self-management. Specifically, we present a publicly available, manually annotated corpus derived from Amazon reviews of health-related products and develop baseline natural language processing models using deep …