Digital Commons Network^™

Multiomics Analysis Of The Phlda Gene Family In Different Cancers And Their Clinical Prognostic Value, Safia Iqbal, Md Rezaul Karim, Shahnawaz Mohammad, Ramya Mathiyalagan, Md Niaj Morshed, Deok-Chun Yang, Hyocheol Bae, Esrat Jahan Rupa, Dong Uk Yang

Faculty, Staff and Student Publications

The PHLDA (pleckstrin homology-like domain family) gene family is popularly known as a potential biomarker for cancer identification, and members of the PHLDA family have become considered potentially viable targets for cancer treatments. The PHLDA gene family consists of PHLDA1, PHLDA2, and PHLDA3. The predictive significance of PHLDA genes in cancer remains unclear. To determine the role of pleckstrin as a prognostic biomarker in human cancers, we conducted a systematic multiomics investigation. Through various survival analyses, pleckstrin expression was evaluated, and their predictive significance in human tumors was discovered using a variety of online platforms. By analyzing the protein-protein interactions, …

Attitudes, Opinions, And Beliefs Of Teachers Toward Dual Immersion Programs In Utah Schools, Amy Lynn Hawks

Theses and Dissertations

Dual language immersion programs have been on the rise in the United States as a proven effective form of bilingual education. As of the 2018–2019 academic year, Utah had 224 dual language immersion (DLI) programs; 113 Spanish, 65 Chinese, 30 French, 13 Portuguese, 2 German and 1 Russian. Roughly 34,000 students were enrolled in one of these programs. The DLI programs in Utah use a 50:50 model, which means half of the students' day is in the partner language model and half is in English. The purpose of my study was to research teachers’ attitudes, opinions, and beliefs within a …

Policy Content Analysis In Minister Of Health Regulation Number 15 Of 2016 About Hajj Health Istithaah, Salman Mauluddin Idris, Atik Nurwahyuni

Journal of Indonesian Health Policy and Administration

Indonesia has the world's largest Muslim population and sends the most pilgrims to Saudi Arabia. The Hajj Health Istithaah Policy in Minister of Health Regulation Number 15 of 2016 is the government's effort to carry out health screening for pilgrims before leaving so that they can perform the Hajj in a healthy and independent condition. This research was conducted using a qualitative approach by collecting data through in-depth interviews and document reviews. In this study, Walt and Gilson's Policy Triangle Model was used as a reference for reviewing the Hajj health istithaah policy, especially in the content section of the …

Final Report - A Field Deployable Wall-Climbing Robot For Bridge Inspection Using Vision And Impact Sounding Techniques, Jizhong Xiao, Ejup Hoxha, David Kirakosian

Project AS-6

This project developed two wall-climbing robots and two omni-directional ground robots for automated data collection on both horizontal and vertical surfaces of concrete structures. These robots are equipped with non-destructive evaluation (NDE) sensors, including ground penetrating radar (GPR), impact sounding (IS) and impact echo (IE) devices. Utilizing a vision-based positioning system powered by simultaneous localization and mapping (V-SLAM), the robots tag NDE data with real-time pose information, significantly accelerating the data collection process and enhancing the accuracy of defect mapping. While effective at detecting shallow defects, impact sounding is highly sensitive to ambient noise and unsuitable for identifying deeper flaws. …

Teachers' Experience Serving Students With Emotional And Behavioral Disorders In Distance Learning, Mireya Escalante Torres

Walden Dissertations and Doctoral Studies

During the COVID-19 pandemic, stay-at-home orders forced millions of students attending schools in the United States to shift to distance learning. As pandemic restrictions lifted and schools reopened, an emerging trend was observed: many parents of children with disabilities chose to continue distance learning. This decision gains significance in the context of students with emotional and behavioral disorders (EBDs) who are at a higher risk of disengagement from school. Educators need to understand how to address social, emotional, and behavioral needs within online learning frameworks. However, increasing engagement for students with EBDs in distance learning has not been well-researched. Drawing …

Case-Based Learning In Undergraduate Orthodontic Education: A Cross Sectional Study, Asma Shafique, Asad Rehman, Shazia Ibnerasa, Rebecca Glanville, Professor Kamran Ali

Peninsula Dental School

Introduction Student centric learning approaches have been reported to be effective in introducing higher order cognitive skills required by the health professionals. However, learners’ perceptions must be constructively aligned with new learning interventions to achieve a positive impact on their learning. The aim of this study was to explore the learning experiences of undergraduate dental students with case-based learning in orthodontics. Methods A case-based learning model was introduced on orthodontic diagnosis and treatment planning for final year students on a Bachelor of Dentistry programme toward the end of their academic year. A survey was conducted to explore the perceptions and …

Performance Of The Public Service Bureaucracy: Urban, Rural, And Building Tax Service Model (Pbb-P2) Based On Information And Technology, Rahmawati Rahmawati, Raniasa Putra

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

The community needs effective, efficient, and accountable public services, including tax services. The Urban & Rural Land & Building Tax (PBB-P2) is a new type of tax for the regions. In the course of its management, there are obstacles and problems. Among them, the community as taxpayers (WP) has difficulty fulfilling their obligations to pay taxes. In addition, the weak administration system of services to taxpayers is due to limited human resources (HR) facilities, infrastructure, organizations, and others. Regional Financial and Asset Management (BPPKAD) considers the bureaucracy too long and prone to deposit discrepancies. The research method used is descriptive …

Examining Content And Construct Validity Of The Nyu Langone Health Nursing Education And Competency Algorithm (Ne-Ca), Vincenza Counglin, Alice Nash

Sigma Foundation for Nursing Research Grant Reports

The purpose of this research study is to explore if the NYULH NE-CA is a reliable and valid process for identifying nursing education and competency in the acute care setting.

Strategies For Reducing Employee Turnover Costs, Karen Coates

Walden Dissertations and Doctoral Studies

High employee turnover costs are prevalent in academic healthcare centers. Healthcare center leaders who experience high employee turnover also experience high operational costs. Grounded in Blau's social exchange theory, the purpose of this qualitative multiple-case study was to explore strategies executive and senior healthcare leaders utilized to minimize employee turnover costs. Through interviews with four academic healthcare center leaders on the East Coast of the United States, using Ming-Shu Yuan's (2019) narrative analysis, four primary themes were identified: (a) strategies, (b) implementation, (c) measuring success, and (d) leadership support. One key recommendation is for academic medical center leaders to increase …

Role Of Admission Test Nst And Its Outcome In Pregnancy, Aditi Tayade Singhania, Sayali Jahagirdar, Pushpa Junghare, V.R. Badhwar

International Journal of Health and Allied Sciences

Cardiotocography has become popular as the method to monitor the condition of the fetus during labor. An admission cardiotocography was introduced to identify fetuses at risk that needed closer monitoring during labor, allowing those with no signs of distress to be monitored by intermittent auscultation. In this study of 200 patients, we have evaluated the role of NST as an admission test and its outcome in pregnancy concerning the prediction of fetal distress, Mode of delivery, APGAR score of the newborn, and Need for the baby's NICU admission. We have also compared the outcomes with cases without the admission test. …

Cone Bean Computed Tomographic Evaluation, Localization And Surgical Management Of Non-Syndromic Inverted Mesiodens In Close Proximity To Nasal Floor: Case Report And Review Of Literature, Lakshmi Thribhuvanan, M. S. . Saravanakumar, Anjana G, Rohini Kootala, Sunnypriyatham Tirupathi

International Journal of Health and Allied Sciences

Supernumerary teeth are numerical developmental anomaly defined as an additional teeth present as a complement to the normal dentition. Mesiodens is relatively a most common anomaly in the developing dentition stages. This article presents the case report of a 6-year old girl child who with the chief complaint of malaligned upper front teeth. On detailed clinical and radiographic examination the presence of vertically impacted mesiodens in the anterior region with close proximity to nasal floor was noted. The child didn’t have any relevant medical or dental history. Due to pertaining complexity and its close proximation to the nasal floor it …

More Reason To Hate Math, Vibha Vasanth

CLAMANTIS: The MALS Journal

No abstract provided.

From The Editor: Cynthia George

Creating Change: The Online Journal of Zines about Social Movements

No abstract provided.

Chronos Volume 14 Issue 1 - Full Issue

Chronos

No abstract provided.

Crime And Punishment In Early Modern England, Sasha Bull

Chronos

No abstract provided.

The Wandering Womb And Other Lady Problems The Trotula And Twelfth-Century Female Inferiority, Kate Bajorek

Chronos

No abstract provided.

Ready, Set, Train!: Strategies To Incorporate Self-Directed And Embodied Learning Into Training And Development Programs, Jennifer Warrner

Online Journal for Workforce Education and Development

Offering training and development programs to employees is one strategy to help companies maintain a competitive advantage in industry. In order to be beneficial for employees and companies, training and development programs must be effective. Learning activities are one strategy to incorporate into training and development programs to keep participants engaged. This article highlights how the adult learning theories of self-directed learning and embodied learning can be incorporated into training and development programs. An overview of self-directed learning and embodied learning theories and examples of related learning activities are highlighted that could be incorporated into other training programs and curriculums.

Chatgpt: What Is It? How Does It Work? Can It Be A Teaching Tool For An Introductory Programming Course In Higher Education?, Dale Fontenot, Feroz Ahmed, Kaniz S. Chy

Southwestern Business Administration Journal

Abstract:

ChatGPT is an interactive chatbot that uses natural language processing (NLP) to understand user input and generate responses. (Ruby, 2023) OpenAI.com released it in November of 2022, creating a buzz in many areas, including higher education. The focus of higher education on this new tool has primarily been academic dishonesty. Although this is a significant concern with ChatGPT, this paper focuses on its usage as a learning tool to help teach programming to management information systems students.

The paper’s brief literature review focuses on ChatGPT’s background and history. A study of how ChatGPT works at a high level is …

Workplace Trauma In Professional Kitchens: Experiences Of Part-Time Undergraduate Culinary Arts Students In Ireland, Orla Mc Connell, Gillian Larkin

Dublin Gastronomy Symposium

As the hospitality industry continues to struggle with attracting and retaining employees, chefs in particular, research on culture in kitchens continues to grow. A recent report in Ireland exposed a culture of bullying and harassment of employees in the hospitality sector. Internationally, researchers have explored the complexity of navigating, belonging, and coping in professional kitchens and have subsequently identified how trauma is embedded in the practice of cooking and serving food. The research to date has largely focused on the perspectives of cooks, and chefs, particularly those who work in elite restaurants, so little is known about the student experience. …

An Abundance Of Cakes: How A National Trauma Created A Unique Culinary Practice In Southern Jutland, Nina Bauer

Dublin Gastronomy Symposium

The southern part of Jutland has its very own distinct food culture and traditions. Its history differs from other parts of Denmark because this region was under German rule from 1864 until the Reunification in 1920. Special laws were imposed to curtail the population’s political and cultural ties to Denmark. Any political gatherings or sentiments were strictly forbidden. However, cooking was free of restrictions and cooking thus became one of the primary ways to hold onto a Danish identity. This led to a conservation of recipes and traditions that were disappearing in other Danish regions. The farm wives became the …

What Is The Comparative Effectiveness Of Specific Therapy Modalities In Improving Mental Health Outcomes For Black And Indigenous Clients?, Hailey Clum

School of Psychology, Family, and Community Research Conference

Black and Indigenous clients are frequently underrepresented in therapeutic research and treatment, despite the increase of individuals from these communities seeking therapy services. This qualitative study has been initiated to highlight the lack of supporting evidence for best treatment practices for Black and Indigenous-identifying clients. The goal of this study is to provide evidence-based treatment for master's and doctoral-level clinicians who work with Black and Indigenous patients. The study will analyze various treatment groups, including Black and Indigenous adult participants; and will utilize treatments and interventions from Internal Family Systems (IFS) therapy and Art Therapy.

The Appliance Of Science: Traditions And Change In Food Preparation Using Small Domestic Electrical Appliances, Susan Bailey

Dublin Gastronomy Symposium

Food preparation in a domestic context has evolved through the application of technology. When electricity became available and motors to power appliances were developed from the late nineteenth century onwards, this made a significant change to the use of appliances for food preparation from post-Second World War onwards. This paper explores the history of and increasing use of small domestic electrical appliances used for food preparation and their development and transition from a commercial to a domestic context. Between the 1950s and 1980s in Britain, the development and promotion of a range of new small domestic electrical appliances were important …

Predictive Analysis Of Local House Prices: Leveraging Machine Learning For Real Estate Valuation, Joey Hernandez, Danny Chang, Santiago Gutierrez, Paul Huggins

SMU Data Science Review

This paper presents a comprehensive study examining the real estate market potential in the dynamic urban landscapes of Frisco and Plano, Texas. Combining traditional real estate analysis with cutting-edge machine learning techniques, the study aims to predict home prices and assess investment feasibility. Leveraging these findings, the study proposes a strategic focus on predictive modeling and investment potential identification, emphasizing the continual refinement of machine learning models with updated data to accurately forecast changes in the real estate market. By harnessing the predictive power of these models, investors can identify high-growth areas and optimize their investment decisions, thus capitalizing on …

Intelligent Solutions For Retroactive Anomaly Detection And Resolution With Log File Systems, Derek G. Rogers, Chanvo Nguyen, Abhay Sharma

SMU Data Science Review

This paper explores the intricate challenges log files pose from data science and machine learning perspectives. Drawing inspiration from existing methods, LAnoBERT, PULL, LLMs, and the breadth of recent research, this paper aims to push the boundaries of machine learning for log file systems. Our study comprehensively examines the unique challenges presented in our problem setup, delineates the limitations of existing methods, and introduces innovative solutions. These contributions are organized to offer valuable insights, predictions, and actionable recommendations tailored for Microsoft's engineers working on log data analysis.

Reevaluating Texas Energy Market Forecasts In The Wake Of Recent Extreme Weather Events, Robert A. Derner, Richard W. Butler Ii, Alexandria Neff, Adam R. Ruthford

SMU Data Science Review

This paper provides updated forecasts of energy demand in Texas and recognizes the impact of sustainable energy. It is important that the forecasts of the adoption of sustainable energy are reexamined after Winter Storm Uri crippled the Texas power grid and left many without power. This storm highlighted the issues the Texas power grid had and has continued to struggle with in supplying the state with energy. This paper will offer an overview of the relevant literature on the adoption of sustainable energy and relevant events that have occurred in the state of Texas that will give the reader the …

Multi-Class Emotion Classification With Xgboost Model Using Wearable Eeg Headband Data, James Khamthung, Nibhrat Lohia, Seement Srivastava

SMU Data Science Review

Electroencephalography (EEG) or brainwave signals serve as a valuable source for discerning human activities, thoughts, and emotions. This study explores the efficacy of EXtreme Gradient Boosting (XGBoost) models in sentiment classification using EEG signals, specifically those captured by the MUSE EEG headband. The MUSE device, equipped with four EEG electrodes (TP9, AF7, AF8, TP10), offers a cost-effective alternative to traditional EEG setups, which often utilize over 60 channels in laboratory-grade settings. Leveraging a dataset from previous MUSE research (Bird, J. et al., 2019), emotional states (positive, neutral, and negative) were observed in a male and a female participant, each for …

Building Effective Large Language Model Agents, Sydney Holder, Shreyash Taywade

SMU Data Science Review

The advancement of large language models (LLMs) has significantly expanded the influence of artificial intelligence across various sectors. This paper explores building LLM agents to power applications and examines what is necessary to build an efficient and helpful AI assistant. The research investigates the core components necessary to create specialized agents, facilitate collaboration in problem-solving, and improve human task performance. The development and application of tools designed to augment the capabilities of LLM agents are also explored. The paper addresses the potential risks of the unknowns, such as hallucinations, which can compromise the success of agent-based solutions within LLM applications. …

Enhancing Customer Support Operations Through Gpt & Q-Learning: A Model Study, Adam Alidra, Bob O'Brien, Dalton Young

SMU Data Science Review

Abstract. “Growth strategies that are purpose-led, customer-centric, experience-driven, data/AI-enabled, and technology-scaled require new mindsets…” (Cornfield, 2021). What can we take from this? Business growth and customer experience are inextricably tied together. Therefore, thriving, as an organization, is dependent on reimagining enterprise operations through modern, scalable data and AI technologies. Our study aims to enhance support operations with emerging AI capabilities, including OpenAI’s LLM models, built on self-attention mechanism transformer architecture, and tailored for business needs through prompt engineering. Our research uses Markov Decision Process and the Q-learning algorithm to evaluate synthetically created support incidents. Through this set of methods, our …

Leveraging Transformer Models For Genre Classification, Andreea C. Craus, Ben Berger, Yves Hughes, Hayley Horn

SMU Data Science Review

As the digital music landscape continues to expand, the need for effective methods to understand and contextualize the diverse genres of lyrical content becomes increasingly critical. This research focuses on the application of transformer models in the domain of music analysis, specifically in the task of lyric genre classification. By leveraging the advanced capabilities of transformer architectures, this project aims to capture intricate linguistic nuances within song lyrics, thereby enhancing the accuracy and efficiency of genre classification. The relevance of this project lies in its potential to contribute to the development of automated systems for music recommendation and genre-based playlist …

Toxic Love: Mandating Standards In Arkansas’S Domestic Violence Laws, Alia B. Reddell

Arkansas Law Review

This Comment addresses the current scheme of domestic violence statutes, highlighting the inadequate state of domestic violence remedies and the ineffective law enforcement guidelines currently in place; it argues that the Arkansas State Legislature is in need of reforming its domestic violence policies. This recommendation is three-fold and proposes that Arkansas should abandon its current discretionary regime and adopt: (1) mandatory arrest policies; (2) statutory post-arrest procedures; and (3) mandatory prosecutorial policies to effectively protect domestic violence survivors. Part I will discuss the various types of domestic violence arrest statutes. Further, this Part will briefly highlight the significance of an …