Digital Commons Network^™

Calcium Carbonate Microparticles As Acid Responsive Targeted Drug Delivery Carriers For Oral Diseases And Its Anti-Bacterial Activity, Hem Raj Joshi

Dissertations and Theses

Dental diseases are mostly caused by bacterial infections in the teeth, forming biofilms that release acids and decay the enamel of the teeth. More than half of the world's population were affected by oral diseases, including periodontitis (gum disease), dental caries (cavities), and oral cancer. Chlorhexidine (CHX) is the mostly used antimicrobial drug for dental diseases, but its overexposure to the healthy teeth causes many side effects, such as tooth staining, taste alteration, and many more. Taking advantage of the acidic environment of infected teeth, we designed a pH responsive targeted drug delivery system using calcium carbonate microparticles (CCMPs) as …

Convergence In Cancer: Integrative Multi-Modal Modeling For Pan-Cancer Drug Response Prediction, Jessica Zylla

Dissertations and Theses

Heterogeneity and rarity can make cancer difficult to study and treat. Cancer's heterogeneity, evident in tumor locations, tumor cell types, subtypes, and microbiota within the tumor microenvironment, complicates diagnosis, prognosis, and treatment. Research into the tumor microenvironment and its microbiota is an evolving area of oncology that may advance cancer drug-patient response. Cancer-omics signatures are crucial to drug response, yet there is no tool that physicians use as a gold standard. Research indicates that microbial presence can alter drug metabolism and immune response, affecting cancer-drug efficacy on a patient-specific basis. This work highlights the need for training readiness in transdisciplinary …

American Indian Survivors Of Domestic Violence And Self-Perceived Mental Health After Seeking Domestic Violence Services, Arial Swallow

Dissertations and Theses

Domestic violence has long-term impacts on women’s emotional, psychological, and physical health, with American Indian women experiencing disproportionately high rates of violence and face unique barriers in overcoming challenges of healing. As part of a larger study, this research aimed to better understand the healing process of American Indian women domestic violence survivors in rural areas. This study examined findings from a mixed methods approach, which investigated the significance of identifying co-occurring mental health needs and providing support, education, and resources to address these needs. The research utilized a quantitative method of descriptive statistics, identifying survivors who endorsed mental health …

Bringing Self-Determination Theory To The Forefront: Examining How Human Resource Practices Motivate Employees Of All Ages To Succeed, Rick A. Laguerre, Janet L. Barnes-Farrell

Management Faculty Research and Publications

Self-determination theory (SDT) is widely used in human resource (HR) practice studies to explain how HR practices impact work outcomes. However, there is little empirical evidence establishing the complete SDT mediational process in the HR domain, which entails basic psychological needs and motivation acting as mediators of relations between HR practices and work outcomes. The present study addresses this issue with a mixed methods approach. Using an item classification task with subject matter experts (N = 48), HR practices were classified as autonomy-, competence-, and relatedness-supportive. Based on this scheme, we tested an SDT-based conceptual model in a three-wave …

Havana Syndrome: A Scientific Review Of An Unresolved Medical Mystery, Aishik Dutta

Digital Journal of Clinical Medicine

Background

Since 2016, U.S. and Canadian officials have reported Anomalous Health Incidents (AHIs), or "Havana Syndrome," characterised by a strange sensory experience followed by chronic neurological, cognitive, and vestibular issues. The cause is intensely debated, with primary hypotheses pointing to either psychosocial factors or a directed-energy weapon, creating a significant medical and geopolitical puzzle.

Methods

This review critically assesses the current evidence by analysing peer-reviewed clinical studies and major institutional reports.

Results

The findings are deeply contradictory. A 2020 NASEM report identified directed, pulsed radiofrequency energy as the most plausible mechanism for a core set of symptoms. Conversely, comprehensive 2024 …

Shaping Pakistan's Future, Sdsb 360 Magazine

Faculty Research - Newspaper and Magazine Articles

SDSB 360 is in conversation with Dr. Ishrat Husain, an influential Pakistani banker, economist, and reformer whose leadership has shaped Pakistan’s financial landscape. From steering the State Bank of Pakistan (1999–2006) to driving educational excellence as Dean of IBA Karachi (2008–2016) and championing institutional reforms as Advisor to the Prime Minister (2018–2022), Dr. Husain’s career is a testament to visionary leadership and a relentless pursuit of progress.

Analisis Pengaruh Kualitas Institusi Politik Terhadap Konsentrasi Pm2.5 Di Negara G20, Afif Dhia Pratama, Dwi Rahmayani

Jurnal Ekonomi dan Pembangunan Indonesia

This study aims to analyze the influence of political institutional quality, proxied by democracy, political globalization, and good governance, on PM2.5 concentration in G20 countries as well as prove the Environmental Kuznets Curve (EKC) Hypothesis and Pollution Halo Hypothesis (PHH) from 1998 to 2022. The Autoregressive Distributed Lag (ARDL) method is employed in this analysis. The results show that democracy reduces PM2.5 concentration only in the long run. However, good governance decreases PM2.5 concentration in the short term but increases it in the long run. Political globalization shows no significant influence on PM2.5 concentration. Furthermore, the study also revealed that …

Peran Kawasan Ekonomi Khusus (Kek) Terhadap Pertumbuhan Ekonomi Wilayah: Analisis Spasial Eksternalitas, Rizani Violita, Khoirunurrofik Khoirunurrofik

Jurnal Ekonomi dan Pembangunan Indonesia

This study examines the impact of SEZs in Indonesia on regional economic growth, including impacts on neighbouring regencies and cities, using a Dynamic Spatial Durbin Model. The study indicates the impact of SEZs is only evident in tourism SEZs, while manufacturing SEZs have no discernible impact. The impact of SEZs on regional growth is transient. The significant variables are prior regional growth, Domestic Investment (PMDN), Labor Force Participation Rate (TPAK), Availability of Information and Communication Technology, Human Development Index (HDI), and GRDP growth. Influencing variables in the surrounding areas include GRDP growth and the diffusion of information and communication technologies.

Afit Generative Ai Teaching Guidebook, Afit Faculty Learning Community, Mark G. Bateman, Brett J. Borghetti, Allen W. Dukes, Nicholas C. Francis, Mike Frick, Bobbie Oh, Kevin Patterson, Hiren J. Patel, Mark G. Reith, Erick S. Tyndall, Teresa M. Walton, Torrey J. Wagner, Timothy S. Wolfe, Jonathan Zemmer

AFIT Documents

AFIT is proud to highlight the Generative AI Teaching Guidebook, a resource designed to provide military educators with practical insights, strategies, and use cases for integrating Generative AI (Gen AI) into their teaching practices. Developed through a collaborative effort involving AFIT faculty across various departments within the Graduate School of Engineering and Management and the School of Systems and Logistics, this digital resource serves as a starting point for educators exploring how to leverage Gen AI in their classrooms. It offers accessible examples and best practices, ensuring utility for instructors of all technical backgrounds. The guidebook provides a comprehensive overview …

Afit Generative Ai Teaching Guidebook Synopsis, Afit Faculty Learning Community, Mark G. Bateman, Brett J. Borghetti, Allen W. Dukes, Nicholas C. Francis, Mike Frick, Bobbie Oh, Kevin Patterson, Hiren J. Patel, Mark G. Reith, Erick S. Tyndall, Teresa M. Walton, Torrey J. Wagner, Timothy S. Wolfe, Jonathan Zemmer

AFIT Documents

The main objective of this work was to bring together various perspectives on how to envision incorporating Gen AI capabilities into the learning environment and identify some best practices for their implementation. Any instructor who is interested in these capabilities but does not necessarily have a technical background can find pragmatic use of the examples provided. While the examples have a wide range of applicability, they are meant to serve as a starting point for educators to explore what would be beneficial to their educational environment, from traditional classroom settings to online continuing education courses.

A Comprehensive Exploration Of 6g Wireless Communication Technologies, Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Md. Shahriar Uzzal, H. M. Dipu Kabir

Electrical & Computer Engineering Faculty Publications

As the telecommunications landscape braces for the post-5G era, this paper embarks on delineating the foundational pillars and pioneering visions that define the trajectory toward 6G wireless communication systems. Recognizing the insatiable demand for higher data rates, enhanced connectivity, and broader network coverage, we unravel the evolution from the existing 5G infrastructure to the nascent 6G framework, setting the stage for transformative advancements anticipated in the 2030s. Our discourse navigates through the intricate architecture of 6G, highlighting the paradigm shifts toward superconvergence, non-IP-based networking protocols, and information-centric networks, all underpinned by a robust 360-degree cybersecurity and privacy-by-engineering design. Delving into …

Catholic School Teaching As Participation In The Common Good, John L. Beltramo

Journal of Catholic Education

Increasing rates of teacher attrition have exacerbated the shortage of teachers in regions of the United States. In response, some scholars have proposed initiatives that promote the professionalization of teaching, hoping to attract and retain new teachers through greater classroom autonomy and stronger professional development. Others have advocated for a vision of teaching as a vocation, through which teachers can find deeper meaning and thereby better tolerate challenging working conditions. While both conceptualizations of teaching hold compelling implications for the field, their lack of grounding in a broader conception of community ultimately limit the extent to which they can respond …

Ml Model To Better Identify Instances Of Bullying Faced By Members Of The Lgbtq+ Community, Arslan Bisharat

Master's Theses

Cyberbullying poses a significant threat to online communities, with the LGBTQ+ community facing disproportionately higher rates of harassment. While existing cyberbullying detection systems have made progress in identifying general instances of online harassment, they often fail to capture the nuanced and context-dependent nature of LGBTQ+-targeted bullying. This thesis presents a novel approach to this challenge by developing SpectrumNet, an LGBTQ+-centric transformer-based model for cyberbullying detection. Our research was conducted in two phases. In Phase 1, we evaluated the effectiveness of pre-trained transformer models (RoBERTa, BERT, and GPT-2) in identifying LGBTQ+-related cyberbullying. Building on these findings, Phase 2 introduced SpectrumNet which …

Setting The Stage For Success: Readiness And Connectedness As Antecedents Of Learning Continuance Intention In Online Learning, Yingqi Tang, Hungwei Tseng, Yu-Chun Kuo, Hsin-Te Yeh, Jianfang Liu

Research, Publications & Creative Work

Through a hierarchical multiple regression analysis, this study investigated how dimensions of online learning readiness and online connectedness influence students’ intentions to continue to take online courses. Data from 369 students who took at least one online course at a four-year public university showed that online learning readiness had a stronger relationship with continuance intention than online student connectedness, while online learning readiness had a significant correlation with online student connectedness. Online learning readiness and connectedness were indicators of online learning persistence. Factors such as age, computer/internet self-efficacy, self-directed learning, learner control, and facilitation influence students' intention to continue with …

Exploring The Factors That Influence K-12 Teachers’ Use Of Open Educational Resources, Yu-Chun Kuo, Yu-Tung Kuo, Hungwei Tseng

Research, Publications & Creative Work

The features of open educational resources (OERs) have the potential of enhancing teaching effectiveness and student learning experiences in K-12 education. Encouraging K-12 teachers to use OERs requires an understanding of the factors that have an influence on teachers’ decisions to adopt or use OERs in their teaching. In this regard, this study explored the factors related to how teachers perceived their use of OERs, including the perceived ease of use of OERs, perceived usefulness of OERs, intention to adopt OERs, attitudes, OER self-efficacy, and so on. The relationships of several proposed factors were explored. The participants were teachers from …

Hearing From Working Nurses: Incorporating Real-World Knowledge Practices Into The Framework To Better Instruct Tomorrow’S Healthcare Professionals, Anne R. Diekema, Elizabeth (Betsy) S. Hopkins, Britt Fagerheim, Brandon Patterson, Nena Schvaneveldt

Library Faculty & Staff Publications

There is a certain duality to the role of librarians in higher education as the job requires preparing students for their current academic work, such as doing research for writing papers, while at the same time preparing students for their future professional information work.¹ Librarians seeking guidance on teaching information literacy more comprehensively are left to study the professional standards of the targeted professional group,² and find or carry out research on these practitioners.³ Synthesizing and translating these findings into instructional approaches while staying true to existing information literacy standards, however, can be challenging.⁴ In this …

Supporting The Parents Of Transition Aged Students With Autism, Miguel Duran

OT Doctoral Capstones

The present capstone project sought to develop and implement an 8-week parent support program for the parents of transition aged youths diagnosed with autism spectrum disorder residing within the Socorro Independent School District. The parent support group included the topics of preparing for the transition process, state and local resources, and identifying caregiver strain for the first half of the program. The latter half of the program consisted of self-care and leisure activities for the parents to address levels of caregiver strain. The goal of the program was to identify potential changes in three areas: caregiver strain, perceived levels of …

Strength-Based Peer Mentoring To Empower Independence For Adults With Autism, Annmarie De La Rosa

OT Doctoral Capstones

Adults with autism face disproportionately high rates of unemployment or underemployment, limited engagement in post-secondary education, and restricted opportunities for social participation. This is largely due to the abrupt discontinuation of services after high school—often referred to as the “service cliff” (Roux, 2015). The loss of structured supports can result in a decline in functional independence, increased mental health concerns such as anxiety and depression, and heightened social isolation (Chun et al., 2023; Schiltz et al., 2021).

This Capstone project aimed to address the unmet post-secondary needs of young adults with autism by implementing a peer mentoring program grounded in …

Mental Silence For Emotional Intelligence Development, Mina N. Nandwani

Theses and Dissertations

While emotional intelligence is considered key for effective leadership, and perhaps the most vital competency for current and emerging leaders to cultivate, there appears to be uncertainty on how to develop it. This study examined how the practice of Sahaja Yoga Meditation (SYM) influences the development of emotional intelligence and contributes to the advancement of global leadership capacities, addressing a gap in the current literature. The conceptual frameworks of SYM, Daniel Goleman’s Emotional Intelligence Model, and the literature on global leadership, particularly Jeffrey Sachs’ Ages of Globalization, guided the research question. By implementing a qualitative phenomenological research approach, ten long-time …

Benefits And Challenges With The Modular Model Of Teacher Certification In Australia: Listening To Teachers’ Voices, Bernard Brown, Rohan Nethsinghe

Australian Journal of Teacher Education

This paper examines teachers’ views about the Highly Accomplished and Lead Teacher (HALT) Certification 2.0 Modular Model (CMM 2.0). The research reveals teachers’ voices and agency in relation to HALT certification. Participants in this study included HALT certified teachers, current HALT participants, and prospective participants. The semi-structured interviews conducted provide insights into the benefits and challenges associated with the CMM 2.0. Thematic coding and systematic analysis were applied to the data to arrive at the key findings. The research revealed that teachers believed that the modular approach was advantageous as it was flexible and provided professional recognition and development. Issues …

Challenging Assumptions: Ai And Teacher Assessment Identity Formation, Nadia Ollington

Australian Journal of Teacher Education

This article explores the ways in which teacher educators can strengthen the developing teacher assessment identity of preservice teachers who are at the precipice of Industry 4.0, where work with Artificial Intelligence (AI) and assessment will require flexible thinking. This reflective case study narrative outlines a teacher educator’s experiences in a novel assessment task using Generative AI for technology enhanced learning in an Australian postgraduate teaching program. In the task, those who held positive beliefs and emotions about AI were more likely to engage in flexible thinking skills than those who were more critical of the AI. To ensure that …

Changes In Mentor Teacher Participation In Postgraduate Secondary Initial Teacher Education: Climatic Conditions Preceding Workforce Reform., Alison L. Hilton, Chad Morrison, Felicity I. Mclure, Kathryn G. Dehle, Sandi Fielder

Australian Journal of Teacher Education

Professional Experience placements provide invaluable opportunities for pre-service teachers to connect their expanding knowledge to teaching practice. When done well, these experiences are underpinned by purposeful and continuous guidance from experienced mentor teachers. Significantly, the participation and engagement of Australian mentor teachers in this process is voluntary in nature, meaning the system relies on teachers ‘opting-in’ to mentoring. This research examines mentor teacher participation within Secondary-level initial teacher education courses and highlights issues relating to overall mentor teacher (and host school) engagement. Analysis of placement data over a five-year period to 2021 illustrates a significant change in participation with a …

Fostering Learner Autonomy In Efl Setting Through Multiliteracy Pedagogy: A Case In Tertiary Education, Desi Surlitasari Dewi, Rudi Hartono, Sri Wahyuni, Sri Lestari

Australian Journal of Teacher Education

The intersection of learner autonomy and multiliteracy pedagogy in EFL settings remains underexplored. To address this gap, this study investigates how multiliteracy pedagogy fosters learner autonomy in the EFL context. The study involved 24 university students majoring in English, for whom English was primarily a third language. The participants attended an intermediate speaking course, a compulsory class in their curriculum. A learner autonomy questionnaire was administered to measure autonomy in the EFL speaking context before and after the implementation. Additionally, semi-structured interviews and classroom observations enriched the data. The findings indicate a significant improvement in learner autonomy following the implementation …

Raising Information Literacy Of Biology Pre-Service Teachers: Study On Three Problem Solving Methods, Muhammad Saefi, Hadi Suwono, Rifka Fachrunnisa, Widi Cahya Adi, Herawati Susilo, Ahmad Kamal Sudrajat

Australian Journal of Teacher Education

Integrating information literacy teaching methods with subject-content curricula to develop prospective biology teacher students' abilities is still problematic. This quasi-experimental research, with a nonrandomized pretest-posttest control group design, intends to compare the influences of challenge-based learning (CBL), problem-based learning (PBL), and problem-solving through classroom discussion (PCD) – as the control- in improving information literacy. This study involved 183 students from three classes of freshmen and three sophomores in the biology education program. The results showed that CBL significantly improved students' information literacy compared to PBL and PCD across five indicators: 1) identifying the required information, 2) attaining the required information …

Teacher Resilience In South Africa: The Self-Efficacy And Teacher Efficacy Of Pre-Service Teachers Preparing To Teach In A Challenged Context, Carine Jonker, Marien Alet Graham, Liesel Ebersöhn

Australian Journal of Teacher Education

This publication addresses a gap in high-quality, quantitative studies on teacher resilience within the less-researched context of the Global South. Specifically, it examines the self-efficacy and teacher efficacy of three cohorts of final-year pre-service teachers in South Africa (N = 1,193). This article aimed to contribute evidence on teacher resilience from an under-researched African context and population. Despite contextual challenges, the pre-service teachers indicated high intrapersonal resilience-enabling pathways, with a statistically significant relationship between their self-efficacy and teacher efficacy. The authors propose an evidence-based framework of how high levels of self-efficacy and teacher efficacy may enable prospective teachers to teach …

Deep Learning For Precise Mri Segmentation Of Lower-Grade Gliomas, Wusat Ullah, Hamza Naveed, Saalam Ali

Sustainable Machine Intelligence Journal

Brain tumors represent a significant public health issue worldwide, affecting individuals across all age groups and leading to severe neurological and cognitive deficits. Lower-grade gliomas (LGGs), classified by the World Health Organization (WHO) as grade II or III, are characterized by more diffuse infiltration into brain tissue compared to high-grade gliomas but exhibit a slower growth rate. Precise evaluation of tumor resection and detection of residual tumor cells are critical, as incomplete resection is associated with an increased risk of disease recurrence. This study reviews an automated, deep learning-based approach for brain tumor segmentation in Magnetic Resonance Imaging (MRI) using …

Advanced Fruit Quality Assessment Using Deep Learning And Transfer Learning Technique, Walid Abdullah

Sustainable Machine Intelligence Journal

Ensuring the quality of fruits is essential for consumer satisfaction and food industry standards. Accurately identifying and classifying high-quality fruits is essential for maintaining good health and nutrition. The subjective and labor-intensive nature of traditional techniques of evaluating quality highlights the need for automated solutions. This study utilized transfer learning with Four pre-trained convolutional neural network (CNN) models—MobileNetV2, ResNet50, VGG16, and EfficientNetB0 —to detect the quality of five fruits: apple, banana, strawberry, orange, and mango. All models were trained and tested with a public labeled fruit images dataset, and their performance was evaluated in terms of accuracy, precision, recall, and …

A Hybridized Cnn-Lstm-Mlp-Knn Model For Short-Term Solar Irradiance Forecasting, Doaa El-Shahat, Ahmed Tolba

Sustainable Machine Intelligence Journal

The accurate prediction of solar irradiance is essential for maximizing renewable energy production. Despite some researchers struggling to achieve sufficient prediction accuracy and model quality, we are working on developing a forecasting model for solar radiation using advanced artificial intelligence techniques. Solar energy offers a sustainable alternative to fossil fuels and has a wide range of applications, making the development of an effective forecasting model crucial. This paper proposes a hybrid model that combines deep learning and machine learning methods, denoted as CNN-LSTM-MLP-KNN. By combining Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Multilayer Perceptron (MLP) and K-Nearest Neighbors (KNN), …

Enhancing Software Effort Estimation In Healthcare Informatics: A Comparative Analysis Of Machine Learning Models With Correlation-Based Feature Selection, Muhammad Abid, Sama Bukhari, Muhammad Saqlain

Sustainable Machine Intelligence Journal

Software effort estimation is one of the most crucial processes in the management of software projects predominantly related to the healthcare industry. It involves the prediction of efforts needed to develop and endorse different software applications. To render clinical projects on time within the budget range, flawless projection with efficient planning is incumbent. This paper discloses the techniques that utilize machine learning models for ameliorating software effort estimation by using biomedical datasets, including Breast Cancer Wisconsin, COVID-19, Sleepy Drivers EEG Brainwave, Heart Disease Prediction and Food Nutrition. All of these datasets are cleaned and prepared by handling missing values, converting …

Mechanistic Insights Into Nigerian Lithium Ores: Implications For Energy And Industrial Applications, Seun Isaiah Olajuyi, Hassan Adamu Abubakar, O. S Ogunmodimu, D. O . Afolayan

All Rsif Scholars' Publications

Lithium is a critical element in battery technology for renewable energy storage applications. The mineral offers potential solutions to the current surge in global energy demand and can position Nigeria as a potential key player in the lithium supply chain. However, little to nothing is known of the lithium deposits in Nigeria. This review explores the formation, geology, and ongoing exploration activities of lithium in Nigeria. The study provides an overview of the geological settings and mineralogical characteristics of the Nigerian lithium-bearing pegmatites and ores, comparing them with global deposits. It also examines current lithium mining and processing techniques, identifies …