Digital Commons Network^™

Challenges In Improving Private Early Childhood Program Quality In Trinidad And Tobago From The Perspectives Of Program Administrators, Elizabeth Josephine King Oliver

Walden Dissertations and Doctoral Studies

In 2003, the Trinidad and Tobago Ministry of Education recommended that the early childhood care and education sector be regulated to improve the quality of programs. The problem is that the sector remains unregulated, and improving program quality in the private sector remains a challenge. This basic qualitative study examined private early childhood program administrators’ perspectives on challenges to improve program quality in Trinidad and Tobago. The research questions investigated the challenges private early childhood program administrators encountered in improving program quality and support needed for improvement. Ten purposively sampled private early childhood program administrators shared their perspectives. The conceptual …

The Lived Experiences Of Minority Widowers With Dependent Children, Cathy-Ann L. King

Walden Dissertations and Doctoral Studies

Spousal death is a traumatic event well documented amongst clinical professionals because of its impact on a man’s physical and mental health. However, prior research on widowers has focused predominantly on white middle-class males. Little is known about the black indigenous people of color (BIPOC) male experience with spousal death, especially from those who are raising their dependent children. This qualitative phenomenological study aimed to understand the lived experiences of BIPOC male widowers and their children. BIPOC widowers experiencing the trauma of this life-changing event without professional assistance are at higher risk of emotional, physical, and mental distress. Attachment theory …

Occupational Risk Perceptions Among Foreign-Born Construction Workers In Central Florida, Matthew Edison Law

Walden Dissertations and Doctoral Studies

Hispanic and Latino foreign-born construction workers in the United States experience higher rates of serious injuries and fatalities in the workplace than their native-born peers. Previous research has pointed to specific vulnerabilities among this population, including birthplace, age of the worker, language barriers, and education level, but little to no research has examined addressable risk factors, such as occupational risk perceptions, among this population. The purpose of this quantitative study was to determine the relationship between birthplace, number of years working in the United States, and occupational risk perceptions while controlling for age of the worker, language barriers, and education …

Puerto Rican Retired Teachers’ Perceptions About Their Financial Sufficiency, Rossana López León

Walden Dissertations and Doctoral Studies

In Puerto Rico, the Teachers’ Retirement System, which has a membership of around 36,000 retired public-school teachers, is currently facing major restructuring and budget cuts, as part of a larger restructuring of all government agencies to meet the economic emergency they were facing. The recent retirement system reforms were focused mainly on cutting benefits, such as medications, Christmas and summer bonuses, and the cost-of-living adjustment. The purpose of this study was to explore the perceptions of retired teachers regarding their financial sufficiency, and to identify their attitudes, beliefs, and opinions/feelings in light of their socioeconomic profile. The research question focused …

Criminology And Violent Extremist Radicalization, Starlett Michele Martin

Walden Dissertations and Doctoral Studies

After the 9/11 terrorist attacks, research on foreign terrorism became extensive in the United States while research on domestic terrorism and violent extremist radicalization was lacking. Despite the research that has been done, there was a lapse in scholarship analyzing terrorism radicalization and its relationship with criminology. The purpose of this general qualitative study was to analyze the perceptions of experts in terrorism and criminology about how factors of criminology can explain violent extremist radicalization. This study used two conceptual models of terrorism radicalization: (a) the staircase to terrorism and the (b) 4-stage model of the terrorist mindset. In addition, …

Emotional Intelligence Among Nigerian Construction Project Leaders During Periods Of Uncertainty, Ibrahim Hassan Mashi

Walden Dissertations and Doctoral Studies

Some construction project leaders in Nigeria have exhibited leadership ineffectiveness during periods of uncertainty due to a lack of emotional intelligence (EI) engagement. This has led to poor performance of construction projects in Nigeria. The purpose of this qualitative exploratory case study was to explore the engagement of EI in enhancing leadership effectiveness among construction project leaders in Nigeria during periods of uncertainty. Fifteen participants involving construction project leaders were selected through purposeful sampling from five construction firms in Abuja, Nigeria. The target participants were specifically chosen for their expertise and experience to ensure that the information created is relevant …

Locus Of Control, Mindfulness, And Perceived Caregiver Burden In Informal Caregivers Of People With Dementia, Tiffany Marinos-Sterge

Walden Dissertations and Doctoral Studies

AbstractAdult informal caregivers play an essential role in the care of people with dementia living in the community. Adult informal caregivers may experience a host of negative psychological, emotional, and physical effects because of their roles as caregivers. The purpose of this quantitative correlational study was to investigate the influence of locus of control and mindfulness on the perceived caregiver burden experienced by adult informal caregivers of people with dementia, controlling for relevant sociodemographic characteristics. Social determination theory and social learning theory provided the theoretical foundation for this study. Variables were measured using the Caregiver Burden Inventory, Mindfulness Attention Awareness …

Non-Alcoholic Fatty Liver Disease And Metabolic Syndrome: The Role Of Gender Differences And Menopausal Status Of Women, Kimberly Kushner

Walden Dissertations and Doctoral Studies

There are few studies that investigate the association between non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS) predominantly in menopausal women. This quantitative study investigated the association between MetS and NAFLD while controlling for age, gender, ethnicity, and menopausal status of women. The theoretical framework that helps establish and guide the research was the diffusion of innovation (DOI). A multivariable logistic regression was conducted using secondary data from the National Health and Nutrition Examination Survey. There is a statistically significant association between MetS, and NAFLD after controlling for age (OR = 2.96, 95% CI = 2.319–3.778, p < 0.001). However, ethnicity was not statistically significant. After further controlling for gender, the relationship remained statistically significant and exhibited a decrease in risk for females compared to males (OR = -.734, 95%CI = .387–.596, p < 0.001). Lastly, focusing on women only, and further controlling for menopausal status, the association between MetS and NAFLD was still statistically significant (OR = 2.227, p < 0.001). Mexican Americans, other Hispanics, and Non-Hispanic Black women were at higher risk (95% CI 1.102–7.039, 1.321–5.351, and 1.255–3.013, respectively). Implications for positive social change include adopting proactive and preventative strategies that can improve the quality of life for vulnerable patients and reduce morbidity and mortality associated with MetS and NAFLD.

Employee Retention Strategies In Selected Small And Medium Enterprises In Nigeria, Ijeoma Omeoga

Walden Dissertations and Doctoral Studies

AbstractThe lack of employee retention strategies in Nigeria’s small and medium enterprises (SMEs) can have adverse business outcomes. Business leaders are concerned about employee retention strategies since they can help reduce turnover and retain experienced employees. Grounded in Herzberg’s two-factor theory of motivation, the purpose of this qualitative multiple-case study was to explore strategies business leaders use to retain their experienced employees. The participants were four business leaders of four SMEs in Nigeria who successfully implemented strategies that helped retain their experienced employees. Data were collected using semistructured interviews and a review of organization policy documents. Through thematic analysis, four …

Visual Literacy: A Critical Literacy Competency In 21st Century Higher Education, Elizabeth Bucciarelli

Faculty Scholarship 2023

No abstract provided.

When Pro(?)-Football Came To Ypsilanti, Steven J. Ramold

Faculty Scholarship 2023

No abstract provided.

Uneven Impact Of The Reading Street Common Core Program On Student Reading Achievement, Donna Lee West

Walden Dissertations and Doctoral Studies

AbstractIn 2013, a school district located in the northeastern region of the US implemented the Reading Street Common Core Program (RS), a highly structured and scripted reading program. The problem was that the program had an uneven effect on elementary level student reading achievement at Title 1 schools in the district. This qualitative case study explored how teachers, professional development lead teachers (PDLTs), and principals at four high performing schools (HPS) and four low performing schools (LPS) experienced implementation of the RS, and how their experiences explained the uneven effect on student reading achievement. The conceptual framework that grounded the …

Strategies Aircraft Manufacturing Organizational Leaders Use For Proper Material Pricing, Chin Kuei Jen

Walden Dissertations and Doctoral Studies

The lack of proper material pricing strategies can challenge manufacturers’ profitability and growth. Aircraft manufacturing leaders are concerned because understanding and developing material pricing strategies are essential to increasing profitability. Grounded in price theory, the purpose of this qualitative single case study was to explore strategies aircraft manufacturing organizational leaders use for proper material pricing estimates. The participants were four aircraft manufacturing organizational leaders from a successful aircraft manufacturing business located in the state of Georgia. Data were gathered from semistructured interviews and document reviews and analyzed using Yin’s five step approach. The four themes that emerged were the impact …

Mitigating Anomalous Electricity Consumption In Smart Cities Using An Ai-Based Stacked-Generalization Technique, Arshid Ali, Laiq Khan, Nadeem Javaid, Safdar Hussain Bouk, Abdulaziz Aldegheishem, Nabil Alrahjeh

Computer Science Faculty Publications

Energy management and efficient asset utilization play an important role in the economic development of a country. The electricity produced at the power station faces two types of losses from the generation point to the end user. These losses are technical losses (TL) and non-technical losses (NTL). TLs occurs due to the use of inefficient equipment. While NTLs occur due to the anomalous consumption of electricity by the customers, which happens in many ways; energy theft being one of them. Energy theft majorly happens to cut down on the electricity bills. These losses in the smart grid (SG) are the …

Claimdistiller: Scientific Claim Extraction With Supervised Contrastive Learning, Xin Wei, Md Reshad Ul Hoque, Jian Wu, Jiang Li

Computer Science Faculty Publications

The growth of scientific papers in the past decades calls for effective claim extraction tools to automatically and accurately locate key claims from unstructured text. Such claims will benefit content-wise aggregated exploration of scientific knowledge beyond the metadata level. One challenge of building such a model is how to effectively use limited labeled training data. In this paper, we compared transfer learning and contrastive learning frameworks in terms of performance, time and training data size. We found contrastive learning has better performance at a lower cost of data across all models. Our contrastive-learning-based model ClaimDistiller has the highest performance, boosting …

An Approach To Developing Benchmark Datasets For Protein Secondary Structure Segmentation From Cryo-Em Density Maps, Thu Nguyen, Yongcheng Mu, Jiangwen Sun, Jing He

Computer Science Faculty Publications

More and more deep learning approaches have been proposed to segment secondary structures from cryo-electron density maps at medium resolution range (5--10Å). Although the deep learning approaches show great potential, only a few small experimental data sets have been used to test the approaches. There is limited understanding about potential factors, in data, that affect the performance of segmentation. We propose an approach to generate data sets with desired specifications in three potential factors - the protein sequence identity, structural contents, and data quality. The approach was implemented and has generated a test set and various training sets to study …

Progenitor Cell Isolation From Mouse Epididymal Adipose Tissue And Sequencing Library Construction, Qianglin Liu, Chaoyang Li, Yuxia Li, Leshan Wang, Xujia Zhang, Buhao Deng, Peidong Gao, Mohammad Shiri, Fozi Alkaifi, Junxing Zhao, Jacqueline M. Stephens, Constantine A. Simintiras, Joseph Francis, Jiangwen Sun, Xing Fu

Computer Science Faculty Publications

Here, we present a protocol to isolate progenitor cells from mouse epididymal visceral adipose tissue and construct bulk RNA and assay for transposase-accessible chromatin with sequencing (ATAC-seq) libraries. We describe steps for adipose tissue collection, cell isolation, and cell staining and sorting. We then detail procedures for both ATAC-seq and RNA sequencing library construction. This protocol can also be applied to other tissues and cell types directly or with minor modifications.

For complete details on the use and execution of this protocol, please refer to Liu et al. (2023).¹

*¹ Liu, Q., Li, C., Deng, B., Gao, P., …

Dial "N" For Nxdomain: The Scale, Origin, And Security Implications Of Dns Queries To Non-Existent Domains, Gunnan Liu, Lin Jin, Shuai Hao, Yubao Zhang, Daiping Liu, Angelos Stavrou, Haining Wang

Computer Science Faculty Publications

Non-Existent Domain (NXDomain) is one type of the Domain Name System (DNS) error responses, indicating that the queried domain name does not exist and cannot be resolved. Unfortunately, little research has focused on understanding why and how NXDomain responses are generated, utilized, and exploited. In this paper, we conduct the first comprehensive and systematic study on NXDomain by investigating its scale, origin, and security implications. Utilizing a large-scale passive DNS database, we identify 146,363,745,785 NXDomains queried by DNS users between 2014 and 2022. Within these 146 billion NXDomains, 91 million of them hold historic WHOIS records, of which 5.3 million …

Toward A Generative Modeling Analysis Of Clas Exclusive 2𝜋 Photoproduction, T. Alghamdi, Y. Alanazi, M. Battaglieri, Ł. Bibrzycki, A. V. Golda, A. N. Hiller Blin, E. L. Isupov, Y. Li, L. Marsicano, W. Melnitchouk, V. I. Mokeev, G. Montaña, A. Pilloni, N. Sato, A. P. Szczepaniak, T. Vittorini

Computer Science Faculty Publications

AI-supported algorithms, particularly generative models, have been successfully used in a variety of different contexts. This work employs a generative modeling approach to unfold detector effects specifically tailored for exclusive reactions that involve multiparticle final states. Our study demonstrates the preservation of correlations between kinematic variables in a multidimensional phase space. We perform a full closure test on two-pion photoproduction pseudodata generated with a realistic model in the kinematics of the Jefferson Lab CLAS g11 experiment. The overlap of different reaction mechanisms leading to the same final state associated with the CLAS detector’s nontrivial effects represents an ideal test case …

A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala

Computer Science Faculty Publications

Crude oil is one of the world’s most important commodities. Its price can affect the global economy, as well as the economies of importing and exporting countries. As a result, forecasting the price of crude oil is essential for investors. However, crude oil price tends to fluctuate considerably during significant world events, such as the COVID-19 pandemic and geopolitical conflicts. In this paper, we propose a deep learning model for forecasting the crude oil price of one-step and multi-step ahead. The model extracts important features that impact crude oil prices and uses them to predict future prices. The prediction model …

TCf21 Marks Visceral Adipose Mesenchymal Progenitors And Functions As A Rate-Limiting Factor During Visceral Adipose Tissue Development, Qianglin Liu, Chaoyang Li, Buhao Deng, Peidong Gao, Leshan Wang, Yuxia Li, Mohammad Shiri, Fozi Alkaifi, Junxing Zhao, Jacqueline M. Stephens, Constantine A. Simintiras, Joseph Francis, Jiangwen Sun, Xing Fu

Computer Science Faculty Publications

Distinct locations of different white adipose depots suggest anatomy-specific developmental regulation, a relatively understudied concept. Here, we report a population of Tcf21 lineage cells (Tcf21 LCs) present exclusively in visceral adipose tissue (VAT) that dynamically contributes to VAT development and expansion. During development, the Tcf21 lineage gives rise to adipocytes. In adult mice, Tcf21 LCs transform into a fibrotic or quiescent state. Multiomics analyses show consistent gene expression and chromatin accessibility changes in Tcf21 LC, based on which we constructed a gene-regulatory network governing Tcf21 LC activities. Furthermore, …

Dfhic: A Dilated Full Convolution Model To Enhance The Resolution Of Hi-C Data, Bin Wang, Kun Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Hi-C technology has been the most widely used chromosome conformation capture(3C) experiment that measures the frequency of all paired interactions in the entire genome, which is a powerful tool for studying the 3D structure of the genome. The fineness of the constructed genome structure depends on the resolution of Hi-C data. However, due to the fact that high-resolution Hi-C data require deep sequencing and thus high experimental cost, most available Hi-C data are in low-resolution. Hence, it is essential to enhance the quality of Hi-C data by developing the effective computational methods.

Results: In this work, we propose …

U.S. Senate And House Perspectives On Missile Defense Systems Opposed By Russia And China, Constance Valarie Baroudos

Walden Dissertations and Doctoral Studies

The United States and its allies and partners have deployed three missile defense systems to protect against Iranian and North Korean missile threats: the European Phased Adaptive Approach, Terminal High Altitude Area Defense, and Ground-based Missile Defense. Russia and China oppose these systems because they view them as undermining their strategic interests. The purpose of the present study was to better understand the perspectives of Senate and House Armed Services Committee HASC members about the three missile defense systems in congressional hearings. The three models of the congressional behavior model, the preference, simple party, and asymmetric categories, and neorealism and …

High School Teachers’ Experiences And Perceptions Facilitating Student Discourse And Collaborative Structures For English Language Learners In Biology, Chrissy Ann Brouwer

Walden Dissertations and Doctoral Studies

The problem that was addressed in this study was that the academic needs of English Language Learners (ELLs) were not being met in biology classes in high schools in the local district because teachers were not consistently facilitating instruction using the required strategies of student discourse and collaborative structures. The purpose of this qualitative study was to explore teachers’ successes, challenges, and need for supports when using the required strategies with their ELLs. Knowles’ theory of andragogy and Shulman’s theory of pedagogical content knowledge guided this study examining how the adults’ learning of the required strategies impacted their ability to …

Perceptions Of K–12 Educators Of Color On Ethnic Studies Curriculum And Teaching In Urban Public Schools, Tracy Castro-Gill

Walden Dissertations and Doctoral Studies

Retention of educators of color (EOC) is becoming a focal point in K–12 education because of the increasing demographic of students of color in K–12 urban public schools; however, a shortage of EOC exists in these schools in the United States due in part to disproportionate attrition rates for EOC compared to White educators. Little is known about the role curriculum may play in retaining EOC in K–12, urban public schools. The purpose of this qualitative critical narrative inquiry study was to explore how ethnic studies curriculum influences how EOC who teach ethnic studies perceive the teaching profession in K–12, …

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jiianxin Wang

Computer Science Faculty Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Teacher Perspectives Regarding Low Teacher Retention In Rural Primary Schools In Tanzania, Tumaini Urio Morgan

Walden Dissertations and Doctoral Studies

Tanzania, similar to other nations in Sub-Saharan Africa, has been experiencing a severe teacher shortage. The problem that was addressed is that factors influencing rural primary school teachers’ decision to continue teaching in Northeast Tanzania are unknown. The purpose of this qualitative descriptive study was to investigate teachers’ perceptions on teaching in rural primary schools in Northeast Tanzania and the reasons why they remain. This study was guided by self-efficacy theory, a subset of Bandura's social cognitive theory. This descriptive qualitative study explored how rural primary school teachers in northeast Tanzania describe the challenges that cause them to consider abandoning …

Leadership Strategies To Initiate And Reinforce Knowledge Sharing Among Employees, Morufat Olajumoke Oshineye

Walden Dissertations and Doctoral Studies

Knowledge loss due to the exit of experienced employees with critical knowledge results in significant financial and nonfinancial impacts on employees and organizational competitiveness. Business leaders are interested in finding strategies to initiate and reinforce employee knowledge sharing to prevent business failure. Grounded in social cognitive theory, the purpose of this qualitative multiple case study was to explore strategies business leaders in Nigerian oil and gas public sector agencies use to initiate and reinforce knowledge sharing among employees to prevent knowledge loss. The participants were five business leaders in Nigerian oil and gas public sector agencies who successfully initiated and …

Associations Between Social Media And Mood, Madison Connors

Undergraduate Theses and Senior Projects

Since its emergence, social media has evolved quickly and to become more widespread year by year (Pew Research Center, 2021). Along with the steady increase of social media use, there has also been a steady increase in depression in the United States, especially in those aged 12-17 (Mental Health America, 2022). This purpose of this study was to examine the relationship between social media and mental health by replicating a study conducted by Shensa and colleagues (2017) that investigated the relationship between social media use and depression in U.S. young adults, but also to include measures of fear of missing …

Mobilenetv1-Based Deep Learning Model For Accurate Brain Tumor Classification, Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, Omega John Unogwu, Indu Bala

Mesopotamian Journal of Computer Science

Brain tumors are among the most dangerous diseases that lead to mortality after a period of time from injury. Therefore, physicians and healthcare professionals are advised to make an early diagnosis of brain tumors and follow their instructions. Magnetic resonance imaging (MRI) is operated to provide sufficient and practical data in detecting brain tumors. Applications based on artificial intelligence contribute a very large role in disease detection, provide incredible accuracy and assist in creating the right decisions. In particular, deep learning models, which are a significant part of artificial intelligence, have the ability to diagnose and process medical image datasets. …