Digital Commons Network^™

From Surviving To Thriving—Research To Support Nurse Leaders In Addressing Workplace Bullying, Laura Cox Dzurec, Jennifer Hehl

Creating Healthy Work Environments (CHWE)

Nurse leaders play essential roles in managing and addressing the strain that workplace bullies impose on organizations and on the individuals working within them (Al Hassan et al., 2023); yet nurse leaders often report finding themselves personally overwhelmed by bullies’ masterful manipulations (Hampton et al., 2019). As skilled communicators, workplace bullies typically convey messages that appear supportive and in line with organizational expectations (Dzurec, 2020). Those messages most often, though, are insincere, proffered to hide bullies’ real intent—garnering personal and professional power in the workplace (Dolan, 2024). This presentation overviews the investigators’ use of the realist review process (Pearsons, 2024) …

An Early Review Of Generative Language Models In Automated Writing Evaluation: Advancements, Challenges, And Future Directions For Automated Essay Scoring And Feedback Generation, Yue Huang, Corey Palermo, Ruitao Liu, Yong He

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

Automated writing evaluation (AWE) has long supported assessment and instruction, yet existing systems struggle to capture deeper rhetorical and pedagogical aspects of student writing. Recent advances in generative language models (GLMs) such as GPT and Llama present new opportunities, but their effectiveness remains uncertain. This review synthesizes 29 studies on automated essay scoring and 14 on automated writing feedback generation, examining how GLMs are applied through prompting, fine-tuning, and adaptation. Findings show GLMs can approximate human scoring and deliver richer, rubric-aligned feedback, but fairness, validity, and ethical issues remain largely unaddressed. We conclude that GLMs hold promise to enhance AWE, …

自然语言处理在评估数据中的应用流程：基于R的教程, Constanza Mardones-Segovia, Yaxuan Yang, Shiyu Wang, Allan S. Cohen

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

自然语言处理（Natural Language Processing, NLP）在教育测评中对文本作答的分析应用日益广泛。NLP 的关键环节之一是对被试的书面作答进行清理与结构化，以构建保留词汇语法、语义与语用特征的输入数据，从而支持相关特征的提取。本文旨在为教育测量任务中使用 NLP 技术提供基本方法指导，系统介绍文本预处理、特征提取及构建性题型文本数据分析的关键步骤。此外，文中还提供了一个基于 R 的潜在狄利克雷分配（Latent Dirichlet Allocation, LDA）分析示例，以展示该处理流程的实际操作。

Engaging Nurses To Prevent Workplace Violence, Rebekah Powers, Carol A. Boswell, Nancy Ornelas, Christina S. Ramdeo

Creating Healthy Work Environments (CHWE)

Workplace violence in healthcare settings is a multifaceted problem and must be addressed using various strategies. Engaging nurses and providing opportunities for professional dialogue about workplace violence. The creation of innovative ways to reduce or eliminate workplace violence was the goal of this project.

Interventions
Using grant funds awarded, the team embarked on a 2-year journey to identify and mitigate workplace violence against nurses. The team formed a workplace violence prevention committee which included nurses from various areas of the hospital, implemented educational activities, reviewed hospital policies, re-issued ID badges to not include last names, provided de-escalation training, completed an …

Providing Robust Education On Whole Health Assessment While Enhancing Professional Well-Being, Jean Ann Davison

Creating Healthy Work Environments (CHWE)

The purpose of this presentation is to highlight innovative teaching strategies for comprehensive whole health while enhancing the professional well-being, and self-care of our students and faculty. Our Advanced Practice RN students’ first clinical course is Advanced Health Assessment which includes a lab component. One learning objective is to use educational strategies and principles of health literacy, coaching, and counseling for SMART goal attainment and shared decision-making in evidence-based health promotion strategies.

While we teach the APRN students about health promotion, disease prevention, motivational interviewing, and SMART goal setting, along with strategies to achieve self-management support in primary care, we …

Authentic Behavior Of Nurses: Antecedents, Mediators, And Outcomes, Pamela J. Love, Brad Gilbreath, Yubo Fu, Jessica Rainbow, Luke Fiorini, Veysel Karan Baris

Creating Healthy Work Environments (CHWE)

Background: Nurses consistently earn the highest trust among professionals in the United States, but the profession experiences high turnover rates, amplified by the increasing demands of an aging population. This study explores factors such as psychological safety, neuroticism, person-group fit, authentic behavior, work engagement, job satisfaction, and turnover intention among nurses. Additionally, it examines the concept of self-verification perception as a mediator of the effects of authentic behavior.

Methods: Data were collected from 956 nurses across the United States using an online questionnaire. Path analysis was employed to analyze the data to identify direct and mediated effects. Psychological safety …

The Student Evaluation Of Clinical Education Environment (Secee) Instrument: Psychometric Testing, Tahani Maashi, Pamela B. De Cordova, Amal Mobarki, Majda Alharbi

Creating Healthy Work Environments (CHWE)

Background: Clinical learning is an important component of nursing education; the student’s clinical learning experience supports the development of clinical competency¹.Therefore, evaluating the quality of the student’s clinical experience is important. The Student Evaluation of Clinical Education Environment (SECEE) instrument has been evaluated and used internationally; however, the tool has not been used to evaluate clinical learning among Arabic-speaking students². A translation and evaluation of the SECEE are required to assess nursing students’ clinical learning experiences in the Arabic population.

Purpose: This study aimed to translate the Student Evaluation of Clinical Education Environment (SECEE) from English …

Exploring The Relationship Between Sleep Hygiene Habits And Fatigue In College Students, Lakesha Carter, Adison Dack

Creating Healthy Work Environments (CHWE)

Purpose: This study explores the relationship between sleep hygiene and fatigue in undergraduate college students. Sleep hygiene is a term that relates to habits that promote better sleep. These habits include maintaining a consistent sleep schedule, creating a comfortable sleep environment, avoiding stimulants before bedtime, engaging in relaxing pre-sleep routines, stress management, and more (Al-Kandari et al., 2017). Along with that, fatigue is a state of decreased ability and effectiveness that is associated with changes in an individual's performance and well-being (Li et al., 2022). This is important to understand in college students because poor sleep hygiene and resulting fatigue …

Predictors Associated With Non-Adherence To Postpartum Visits Among Arab Immigrant Women In New Jersey, Abeer Mobarki, Charlotte Thomas-Hawkins

Creating Healthy Work Environments (CHWE)

The aim of the study Is to explore predisposing and enabling factors that contribute to postpartum visit non-adherence by female immigrants of Arab descent in N.J. Are levels of acculturation, diminished social support, negative health beliefs, and health insurance status independently associated with postpartum visit non-adherence among Arab immigrant women in N.J.?

Background: The underutilization of postpartum care is a global problem that limits the early detection of physical and mental complications during the postpartum period. Internationally, the prevalence of nonadherence to postpartum visits ranges from 25% to 75%. Arab immigrant population in N.J. has doubled since 1980. Yet, …

Assessing The Transition Home: A Study Exploring Post-Deployment Reintegration In The Ar Army National Guard, Erin Michelle Robinson, Pamela Ashcraft

Creating Healthy Work Environments (CHWE)

Service members face a variety of challenges after deployment. The transition home can be difficult due to having to reestablish important relationships, losing intense bonds with battle buddies, and feeling misunderstood, especially after experiencing combat (Adler et al., 2011). The military-civilian divide can also make that transition difficult (Sayer et al., 2021). One of the moderating factors for reintegration is decompression, the process of returning to civilian life (Adler et al., 2011). While there is research about combat and Active-Duty deployments, there is limited information about the post-deployment reintegration experience for service members in the National Guard and Reserve components. …

Association Between Area Deprivation Index And Outcomes After Subarachnoid Hemorrhage, Michelle Chung, Zhirui Deng, Dianxu Ren, Kelly Isola, Elizabeth Crago

Creating Healthy Work Environments (CHWE)

Subarachnoid hemorrhage (SAH) is a life-threatening hemorrhagic stroke caused by bleeding in the arachnoid space of the brain, often resulting in long-term disabilities and poor quality of life (QOL). Individuals living in more advantaged neighborhoods report higher levels of QOL post-stroke, but little has been reported about QOL and neighborhood data after SAH.

This study sought to examine the relationship between measures of socioeconomic status (SES) and outcomes after SAH. SES encompasses a variety of factors. For this analysis, the area deprivation index (ADI) - a measurement of neighborhood socioeconomic disadvantage - was used as a surrogate for SES. We …

Mapping Expert-Endorsed Communication Skills With Surrogates To Uncertainty In Illness Theory, Jiayi Zhu, Jennifer Burgher Seaman

Creating Healthy Work Environments (CHWE)

Making medical decisions for patients with impaired decision-making capacity due to serious illness is a stressful experience for surrogate decision makers (SDMs), which can result in emotional and psychological distress^6,7 and delayed decision-making³. Uncertainty has been identified as a key contributor to the stress experienced by SDMs in decision-making¹. High-quality communication addressing uncertainty improves the decision-making experience for SDMs^2,3. Yet, there is a lack of targeted education to help healthcare providers effectively address uncertainty in communication with SDMs. Purpose statement: This study aims to identify techniques and strategies clinicians use to address …

Bridging The Gap Of Bipoc Patients, Clinicians, And Doulas, Tasha Chatman

Creating Healthy Work Environments (CHWE)

The project is a Doctor of Nursing practice quality improvement project addressing the barriers to collaboration between BIPOC prenatal patients, clinicians, and doulas. Maternal mortality and morbidity are a crisis in our nation with black women dying three times more than their white counterparts (Harris, n.d.). BIPOC prenatal patients are suffering from maternal mortality and morbidity. Stemming from such as historical racism, racial inequalities, implicit bias and structural determinants of health. The Doula can give cultural congruent care, impower BIPOC prenatal patients, while providing emotional and physical support. The utilization of a doula as continuous labor support is shown to …

Quantitative Analysis Of Hardiness Within Night Shift Nurses: A Survey-Based Study, Megan Brunson

Creating Healthy Work Environments (CHWE)

This dissertation proposal aims to examine the relationship between fixed night shift nurses and their level of hardiness using the Dispositional Resilience Scale (DRS-15). The study focuses on nurses working in acute care settings, categorized into four groups based on years of night shift experience: 0-2 years, 3-6 years, 7-9 years, and 10+ years.

The research employs a cross-sectional quantitative design, utilizing an online survey comprising demographic questions and the DRS-15. The theoretical framework is the society-to-cells resilience theory, which integrates multiple levels of analysis to understand human development and resilience.

The study has two primary aims:
1. Determine the …

Exploring The Role Of Ict In Empowering Grassroots Innovation And Entrepreneurship: A Cross-Sectional Study Of Iringa Region In Tanzania, Emma Nkonoki, Ruthbetha Kateule, Ville Leppänen

The African Journal of Information Systems

ICT-enabled grassroots innovation has been extensively researched; however, there is a lack of empirical evidence as to its potential contribution to resource-scarce settings in Africa. This paper aims to explore the transformative role of ICT from idea generation to sustained entrepreneurship using the Iringa region in Tanzania as a case study. This qualitative study delves into the experiences of four grassroots entrepreneurs, revealing the interplay between technology, resource scarcity and the aspirations of those entrepreneurs. Data was collected through semi-structured interviews and was examined extensively using thematic analysis. This revealed how ICT assists innovative young entrepreneurs to identify and utilize …

Upcycling Waste To Wealth: Cuo-Sio₂/Reduced Graphene Nanocomposite From Pomegranate Peels For One-Pot Low-Temperature Conversion Of Waste Oils Into Valuable Fatty Acid Monomers, Attia Attia, Shahenda Mahran Dr., Maria Centeno Prof., Basudeb Saha

Petroleum Engineering and Gas

and hence reduce the price of the fatty acid monomers. This study reports for the first time a novel, environmentally benign, highly active copper oxide-silica oxide/reduced graphene oxide (CuO-SiO2/RGO), heterogeneous nano-catalyst derived from waste pomegranate peels, for the one-pot, low-temperature synthesis of fatty acid monomers from high-acid-value waste vegetable oil (WVO). The synthesised nano-catalyst was extensively characterised using XRD, FT-IR, TEM, SEM, EDX and TGA-DTA. Further, it was utilised to synthesise fatty acidrich oleic phenoxypropyl acrylate (OPA) monomer from high acid value WVO via a single-step reaction.

Dataset On Bulk Geochemistry From Johnston Draw Borehole At Reynolds Creek Critical Zone Observatory, Kathleen A. Lohse, Mark Seyfried, Brad Carr

Reynolds Creek Critical Zone Observatory Data

A borehole to 90m was drilled in 2019 at Johnston Draw in the Reynolds Creek Critical Zone Observatory. Major and trace elements were analyzed via X-ray fluorescence (Johnson et al., 1999) and Inductively Coupled Plasma Mass Spectrometry (ICP MS) (Knaack et al. 1994), respectively, at the WSU Peter Hooper GeoAnalytical Lab. Major The depth intervals are included as well as normalized and unnormalized data.

Dataset On Physical Properties From Johnston Draw Borehole At Reynolds Creek Critical Zone Observatory, Nicholas Patton, Kathleen A. Lohse

Reynolds Creek Critical Zone Observatory Data

A borehole to 90m was drilled in 2019 at Johnston Draw in the Reynolds Creek Critical Zone Observatory in SW Idaho, USA. Physical attributes of select borehole depth intervals were were separated into coarse (> 2mm) and fine fraction (< 2 mm) size. The coarse fraction was analyzed for rock density. The fine fraction was analyzed for color, effervescence, and particle size distribution.

Analysis Of Minimal And Maximal Closed Submsets In M-Topology, Rajish Kumar P, Sunil Jacob John, Baiju T.

Baghdad Science Journal

In the realm of mathematical analysis, the concept of a Multiset (in short mset), which allows for the inclusion of repeated elements within a collection, has garnered attention. This is particularly relevant in real-life scenarios where the presence of duplicates holds significance. The emergence of mset topology, a specialized branch of topology designed to accommodate the unique characteristics of msets, has provided a valuable framework for understanding the topological properties of these diverse collections. This paper delves into the nuanced exploration of mset topology, specifically focusing on various properties associated with minimal closed submsets and maximal closed submsets. These submsets …

Topological Indices And Quantitative Structure-Property Analysis Of Novel Drugs For Acute Lymphoblastic Leukemia Treatment, P. Nathiya, M. Suresh, Jalal Hatem Hussein Bayati

Baghdad Science Journal

Acute lymphoblastic leukemia in children is a bone marrow and blood cancer. Healthy blood cells begin to change and grow out of control when leukemia initially occurs. Acute lymphoblastic leukemia (ALL) is an immune system-related malignancy of the lymphocytes, a subtype of white blood cells. The most common form of cancer affecting children is ALL. In this work, the topological indices are derived from the structure of a chemical graph, and predict the physical, chemical, and biological characteristics of several anticancer drugs. ALL are usually treated with drugs such as methotrexate, 6-mercaptopurine (6-MP), vincristine, L-asparaginase, and/or prednisone, etc., which are …

A Clustering Technique Based On The Hard K-Means (H.Km.) Method To Determine The Governorate That Have More Influence For Spreading Covid-19 In The Kingdom Of Saudi Arabia, Rand Muhaned Fawzi, Wurood R. Abd Al-Hussein, Iden Hassan Alkanani

Baghdad Science Journal

The Kingdom of Saudi Arabia is the gathering place of most of the nationalities of the Islamic world. When a certain disease spreads, it will be important to know which governorate has the greatest influence on the spread of the disease and take the necessary precautions to limit its spread, and this is the goal of this study. COVID-19, The SRS-COV-2 coronavirus that caused the most recent pandemic is known as the Corona pandemic. To determine which Saudi governorates had the greatest influence on the epidemics spread, data was gathered for thirteen governorates over two months (July and August). The …

A New Approach For Selecting Optimal Neuron Number In Input Layer Of Generalized Regression Neural Network Model, Muhammad Muhajir, Hermansah Hermansah, Aditya Pandu Wicaksono, Lathifah Aliya Pratiwi

Baghdad Science Journal

This study aimed to determine the input layer neurons for the Generalized Regression Neural Network (GRNN) model by using various classical methods, namely 1) Partial Autocorrelation Function (PACF), 2) frequency-based method, 3) frequency and Forward Selection (FS), 4) frequency and Backward Elimination (BE), 5) frequency and step-based methods, and 6) frequency method combined with the Least Absolute Shrinkage and Selection Operator (LASSO). These classical methods were combined with various parameters within GRNN, including smoothing parameters, forecasting strategies, and transformations. The most accurate model, with the lowest RMSE, MAE, MAPE, and SMAPE values, resulted from the combination of frequency and BE, …

Psacovid: Parallel Segmentation Architecture For Localization And Contagion Quantification Of Covid-19 Pneumonia In Chest Computed Tomography Imaging, Payman Hussein Hussan, Israa Hadi Ali

Baghdad Science Journal

Early and precise detection of Coronavirus related anomalies in lung computed tomography scans is necessary for implementing preventive measures and initiating proper treatment. However, the procedure of visually examining lung computed tomography (CT) images is demanding particularly when it comes to detecting tiny anomalies. This work intends to use artificial intelligence (AI) to help radiologists improve their illness diagnostic efficacy in reading computed tomography images by localizing, detecting, and quantifying COVID-19 pulmonary lesion severity to predict patient outcomes. A public dataset has been acquired from 20 Corona patients, which includes manually annotated lung and infection masks, to train a parallel …

A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea

Baghdad Science Journal

Multitudes of Unmanned Aerial Vehicles (UAVs) are generally embraced in military and civilian applications. Yet, this physical-cyber method is intimidated by cyber-attacks. Recently, Machine Learning (ML) based attacks detection approaches have been effectively embraced to detect cyber-attacks. This paper presented the Intrusion Detection Security (IDS) approach. The proposed approach investigates UAVs' cyber and physical attributes under normal process and attack circumstances. Two types of cyber-attacks have been classified: Denial-of-service (DoS) and replay. This study developed IDS approaches established on ML and Deep Learning (DL) prototypes, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), and One Dimensional Convolutional …

An Efficient Glaucoma Classification For Fundus Images By Pre-Trained Deep Cnns And Accuracy-Weighted Voting Classifier Fusion, Salam Jabbar Edan, Mohammad-Reza Feizi-Derakhshi

Baghdad Science Journal

Glaucoma, a chronic eye disease characterized by progressive optic nerve damage, remains a significant public health concern worldwide. Early and accurate diagnosis is crucial for timely intervention and preventing irreversible vision loss. In this paper, developed an approach for glaucoma classification utilizing pre-trained convolutional neural networks (CNNs), specifically ResNet-101, ResNet-18, and DarkNet-19. Also employed accuracy-based weighted voting as a classifier fusion technique. Leveraging the capabilities of these CNN architectures, extract high-level features from retinal fundus images and apply transfer learning to adapt the networks for glaucoma classification. Leveraging the capabilities of these CNN architectures, extract high-level features from retinal fundus …

Accurate Skin Lesion Segmentation Through Feature Fusion In Dermoscopy Images, Fallah H. Najjar, Farhan Mohamed, Asniyani Nur Haidar Abdullah, Mohd Shafry Mohd Rahim, Karrar A. Kadhim

Baghdad Science Journal

In the diagnosis of skin cancer, dermoscopy images have to be evaluated for feature extraction. In this paper, the authors design a new method to enhance the skin dermoscopy image segmentation accuracy by eliminating artifacts and hair using photometric quasi-invariants, followed by a unique approach for skin lesion segmentation using histogram-based feature fusion. Histogram features are used to extract data range and mean images from the histogram, and these are fused with the free artifacts and hair image to generate the final image. the authors used the PH2 dataset for the proposed segmentation method because it contains the ground truth …

Swift/Kelce Star Power Effect? Engagement Created A 96% Increase In Nfl Discussion Online With 82% Of Social Media Posts Expressing “Joy” About The Couple, Yi Luo, Jin-A Choi, Bond Benton

College of Communication and Media Scholarship and Creative Works

On August 27, 2025, Grammy winning singer Taylor Swift and football champion Travis Kelce announced their engagement. Celebrity couples inspire popular reactions with commercial implications. A research study from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the College of Communication and Media at Montclair State University analyzed online reaction in the period immediately after the power couple’s engagement was announced. Results suggest overwhelming interest, positivity, and potential benefits to major brands, such as the National Football League. Findings include a 96% increase in brand references for the NFL and Kansas Chiefs on social …

Commonwealth Times 2025-08-27

Commonwealth Times, 1969-

No abstract provided.

Synthetic Malware Image Generation Based On Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Malware detection is a critical task for protecting our assets from attacks. However, traditional approaches to malware detection often struggle with limited datasets, which hinder the effectiveness of machine learning models. In this paper, we propose a malware image generation system designed to craft high-quality synthetic malware image samples, addressing the challenges posed by small datasets in malware detection. The proposed system utilizes two popular generative models, WGAN-GP and Diffusion, to generate synthetic malware images. It converts malware binary files into image files using four different color spaces: monochrome, grayscale, RGB, and CMYK. These images are then evaluated based on …

An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock

Cornhusker Economics

Using a novel dataset that includes within field variation in productivity, we find that partial field retirement for a prairie strip can not only provide conservation benefits, but can also be economically beneficial. We note that these results are for a single field with one year of data, and that additional years of production and fields are essential to determine how much these results can be generalized. We also note that precision systems can be costly, and a comparison of outcomes with and without this information is essential to determine if investing in such systems is profitable. However, variable rate …