Understanding The Epigenetic Landscape Of Barrett's Esophagus And Esophageal Cancer: A Review Of Current Findings, Caveats And Future Directions, Louise Lawless, Trevor Doherty, Carla Surlis, Niamh Gilmartin, Therese M. Murphy

Research Outputs: 2025-Present

Esophageal cancer (OC) is currently the eighth most common form of cancer worldwide with a 5-year survival rate of 10%–20%, with the primary risk factor of esophageal adenocarcinoma (OAC) being the development of Barrett's Esophagus (BO). Despite its clinical significance, the molecular pathogenesis underlying both BO and OC is not well understood. In recent years, epigenetic dysregulation, particularly aberrant DNA methylation, has emerged as a critical area of investigation, given its potential utility in the identification of diagnostic, prognostic, and therapeutic biomarkers. This review examines the evolving epigenetic landscape of esophageal cancer, including a focus on its origins in BO …

From Reactionary To Anticipatory Integrated Action: Novel Environmental Health Surveillance For Mass Gatherings, Benjamin J. Ryan, Michael Donahoo, Danielle Esler, Paul Barach, Benjamin Coghlan, Shelby Garner, Laura M. Langan, John Piispanen, Bryan W. Brooks

College of Population Health Faculty Papers

Advances in AI-driven analytics, human-in-the loop techniques, and wastewater monitoring provide the foundation needed to shift from reactive to anticipatory actions for mass gatherings. Traditional surveillance systems focus on clinical and laboratory-based notification pathways, which often result in tardy actions being implemented. Thus, traditional surveillance is becoming outdated. Mass gatherings pose heightened public health risks and hazards, including trauma; injury and substance misuse; deliberate poisoning; and infectious diseases such as food and waterborne illnesses, sexually transmitted infections, and respiratory diseases. There is also a heightened concern due to reduced vaccination coverage. As a result, future international events such as the …

The Long-Term Effects On Youth Growing Up In Foster Care, Brittney L. Olatunde

Murray State Theses and Dissertations

Abstract

This study examined the long-term effects of the foster care system on youth, with particular focus on how early life experiences shape developmental trajectories into adulthood. Findings indicated that involvement in the foster care system significantly influences socioemotional, psychological, and life outcomes that persist across the youth life span. Understanding these enduring effects is essential for recognizing how early disruptions and transitions impact later adult functioning. Guided by life course theory, this study explored how the timing of foster care experiences, critical life transitions, and environmental contexts collectively influence individual development over time. Emphasis was on how entry and …

Connecting The Dots - Recognition Of Artificial And Natural Shapes Relies On Representing Points Of High Information, Gunnar Schmidtmann, Nicholas Baker, Kevin J. Lande, Filipp Schmidt

School of Health Professions

Physiological and psychophysical evidence suggests that the visual system represents object outlines using prominent curvature features, particularly regions of extreme curvature (convex maxima and concave minima). These curvature extrema often coincide with points of high informational content (“surprisal”), but this relationship is only correlational. It remains unclear whether the visual system explicitly encodes curvature extrema or instead prioritizes the most informative contour locations. To address this, we conducted two shape-matching experiments comparing the roles of curvature extrema and surprisal in shape representation. Observers performed match-to-sample tasks in which smooth reference shapes were matched to simplified polygonal versions created by connecting …

Automatic Teeth Segmentation In Panoramic Radiographs Using Attention U-Net, Shehabeldin Mohamed Saber Prof.Dr.

Dentistry

Aim: The aim of this study is to investigate the effectiveness of the Attention U-Net architecture for teeth segmentation in panoramic dental images. By exploring the potential of Attention U-Net, the study aims to contribute to the development of more precise and automated dental imaging analysis, which could enhance diagnosis, treatment planning, and computer-aided dental systems. Subjects and methods: The TUFTS University dataset consisting of 1000 de-identified panoramic radiographs was used for training and testing an Attention U-Net architecture with 10-fold cross-validation. These scores surpass those of all other networks implemented on the same dataset. using a newly available benchmark …

Prevalence Of Oral Mucosal Lesions Among Smokers Based On Gender: A Bicentric Cross-Sectional Study In Egypt, Dalia Ghalwash, Fatheya Zahran

Dentistry

Abstract

Background

Smoking is a major risk factor for developing various types of oral mucosal lesions (OMLs), including benign and potentially malignant lesions. However, scarce data is available concerning gender differences regarding the prevalence of oral mucosal lesions in smokers worldwide. Accordingly, this study assesses the prevalence and types of OMLs among male smokers compared to female smokers in an Egyptian population.

Methods

This hospital-based cross-sectional study included 300 male and 300 female smokers. All participants underwent a thorough case history review and a comprehensive clinical examination.

Results

The overall prevalence of oral lesions was significantly higher in males (75%) …

Dentists’ Acceptance Of Artificial Intelligence-Assisted Decision Support For Oral Potentially Malignant Disorder Detection: A Structural Equation Modeling Study, Dalia Ghalwash

Dentistry

Abstract

Artificial intelligence (AI) may support early detection and clinical decision-making of oral potentially malignant disorders (OPMDs), but clinical implementation depends on dentists’ acceptance of AI-assisted clinical decision support. This study aimed to identify structural associations of AI acceptance among dentists using an extended Technology Acceptance Model (TAM). A cross-sectional survey was conducted among 500 dentists. Construct validity and reliability were assessed using confirmatory factor analysis. Hypothesized associations were evaluated using structural equation modeling with bootstrap mediation analysis. The extended TAM showed generally satisfactory measurement properties and good overall model fit. Attitude toward AI showed the strongest association with behavioral …

Neuromuscular Adaptations Following Eight Weeks Of French Contrast Training In Elite Youth Football Players: Implications For Athletic Performance, Okan Demir, Tolga Altug, Christopher B. Taber, Mehmet Bayansalduz

Exercise Science Faculty Publications

Neuromuscular training is increasingly recognised for enhancing football performance and athletes’ capacity to tolerate the repetitive high-intensity demands of match play. The French Contrast Method (FCM) combines heavy resistance, plyometric, and ballistic exercises within a post-activation performance enhancement framework, yet evidence in elite youth players during the competitive season remains limited. This study examined the effects of an eight-week in-season FCM program on reactive strength, neuromuscular performance, maximal strength, anaerobic performance, and short-distance sprint ability. Twenty-eight elite male youth football players were randomly assigned to an experimental group (FCM plus regular football training; n = 14) or a control group …

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …

Design Of An Economic Order Quantity–Based Dashboard For Vaccine Packaging Inventory Management, Hadi Susanto, Susmitha Canny, Alexandra Elizabeth Callistha, Shakira Dwi Purwandari, Naila Davina Aurelia

ASEAN Journal on Science and Technology for Development

Background: Timely availability of vaccine packaging is critical to pharmaceutical supply chain reliability, as packaging materials play a key role in maintaining cold chain integrity during distribution. Inadequate availability of packaging materials can disrupt vaccine delivery even when finished vaccines are ready for shipment. The case company faces frequent delivery delays, insufficient safety stock, and irregular replenishment of vaccine packaging materials, which have jeopardized the organization’s target of achieving a 90% on-time delivery rate.

Objective: To design and evaluate an Economic Order Quantity (EOQ)–based inventory dashboard for vaccine packaging that standardizes ordering decisions and strengthens stock visibility in pharmaceutical distribution …

Multiclass Skin Lesions Classification And Early Skin Cancer Detection Using An Attention-Enhanced Xception Architecture, Shamira Arshad Shaikh, Yogita Mistry

ASEAN Journal on Science and Technology for Development

Skin disorders are considered one of the major healthcare problems globally and need proper, prompt, effective and early diagnosis to enhance clinical practice. Traditional machine learning and deep learning approaches often exhibit limited generalization capability and reduced effectiveness in extracting discriminative features from complex multiclass dermatological datasets. For this purpose, an interpretable attention-enhanced Xception framework for automatic multiclass skin disease diagnosis based on dermoscopic images has been designed through the use of the International Skin Imaging Collaboration (ISIC) dataset. The dataset includes 2,357 dermoscopic images that belong to nine classes of skin lesions. The proposed framework integrates channel attention and …

Mending The Broken Heart: Applying Selective Spiritual Practices To Navigate The Grief Process At Reeder Memorial Baptist Church Charlotte, North Carolina, Kathryn A. Bonapart

Doctor of Ministry Projects

This Doctor of Ministry capstone examined how guiding congregants through intentional spiritual disciplines can foster grief healing at Reeder Memorial Baptist Church in Charlotte, NC. Many members face grief related to death, illness, relational loss, or communal trauma. The project integrated the biblical narrative of Jesus in Gethsemane (Matthew 26:36–46) with group practices such as prayer, silence, solitude, lament, and journaling. Quantitative pre- and post-surveys and qualitative data from journals, field notes, and interviews revealed growth in emotional awareness, spiritual endurance, consistent grief practices, deeper faith during mourning, greater awareness of God’s presence in suffering, and stronger community connections.  The …

Numerical Simulation Of Micro-Cutting Processes For The Estimation Of Material Fracture Toughness, Juan J. Lainez

Graduate Studies Theses and Dissertations 2026

Accurate determination of plane-strain fracture toughness is essential for structural integrity assessments of engineering components, yet conventional ASTM standardized testing methods require large, notched specimens that are impractical in many industrial and research contexts. This thesis presents a finite element method-based approach for estimating the mode I plane-strain fracture toughness of engineering materials from orthogonal micro-cutting simulations if the continuum damage mechanics-based fracture locus is calibrated. This method will eliminate the need for pre-cracked specimens while maintaining physically grounded fracture mechanics principles. The methodology applies to the Atkins energy-based cutting force model, in which the depth-independent intercept of the specific …

Hybridization Of Genetic Algorithm, Principal Component Analysis And Deep-Learning For Networks Intrusion Detection Systems, Mostafa A. R. Eltokhy, Hend M. A. Mahmoud, Mohammad Sammany

Trends in advanced sciences and technology

With cyber-attacks on the rise, the demand for precise and efficient Intrusion Detection Systems (IDS) is more critical than ever. Traditional machine learning methods struggle with high false alarm and poor detection rates. IDS are crucial for creating secure digital environments by classifying and responding to network intrusions. However, the large volume of inputs for classification often leads to reduced accuracy and misclassification errors. To address this problem, Principal Component Analysis (PCA) is used to optimize the number of classifier inputs, enhancing simplicity without compromising accuracy. A significant challenge in PCA for feature selection lies in determining the best cutoff …

Comparative Outcomes Of Underlay Fascial Tympanoplasty With And Without Platelet-Rich Plasma: A Prospective Randomized Controlled Trial, Christina Nagah Gad Elsaid Abd Elmaseeh, Mohamed Gamil Hamid, Mohamed Mahmoud Elsheikh, Ahmed Medhat Elshafei

Trends in advanced sciences and technology

Objective: To evaluate hearing outcomes and functional success following tympanoplasty with and without platelet-rich plasma (PRP) in chronic tympanic membrane (TM) perforation cases. Methods: Thirty participants were randomized equally into two groups: one underwent tympanoplasty with PRP (n=15), and the other without PRP (control group, n=15). This single-center prospective randomized controlled trial was conducted at Capital University Hospital (Badr Hospital) from April 2024 to December 2024, and was registered in the Pan African Clinical Trials Registry (PACTR) (registration number: PACTR202609616749959). Preoperative and postoperative air-bone gap (ABG) values were evaluated to assess hearing improvement. Functional success was identified as an ABG …

Bridging The Gap Between Function-Based And Iddsi Standards In Dysphagia Care, Chien-Hui Cheng

Rehabilitation Practice and Science

No abstract provided.

A Narrative Review Of The Central Neural Control Of Swallowing And Its Implications For Dysphagia Rehabilitation, Kuo-Chang Wei, Tyng-Guey Wang, Ming-Yen Hsiao

Rehabilitation Practice and Science

Swallowing is controlled by a distributed neural network spanning the brainstem central pattern generator, subcortical modulatory circuits, and cortical regions responsible for volitional planning and sensorimotor integration. Evidence from lesion studies, neuroimaging, and neurophysiology demonstrates that dysphagia arises from disruptions at different nodes of this network, producing lesion-specific impairment profiles rather than a uniform swallowing deficit. This network-based perspective has shifted rehabilitation from predominantly compensatory management toward mechanism-driven interventions aimed at restoring physiological function. Behavioral skill-training and resistance-based exercises harness motor learning and cortical plasticity, whereas neuromodulatory approaches—including repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation (tDCS), pharyngeal electrical …

Experience And Barriers In Pediatric Dysphagia Rehabilitation: A Quantitative Survey Study, François-Xavier Brajot, Ai-Ju Wu, Pao-Chuan Torng

Rehabilitation Practice and Science

Purpose: Despite an important need for health care services targeting pediatric dysphagia, there exist a number of barriers to doing so, including workforce competence. The current study surveyed practicing Speech-Language Pathologists to determine (1) the importance of pediatric dysphagia in their caseload, (2) the adequacy of existing educational resources, and (3) perceived barriers to providing quality care in Taiwan.

Methods: An anonymous survey was completed by Speech-Language Pathologists working in Taiwan. Responses were analyzed with respect to current work setting, experience, preparation, and perceived barriers.

Results: Survey results from 122 respondents indicated that the pediatric dysphagia caseload is unexpectedly low …

Dysphagia And Rehabilitation In Patients With Parkinson’S Disease, Jong Mi Park, Seo Yeon Yoon

Rehabilitation Practice and Science

Dysphagia is one of the most clinically important complications of Parkinson's disease (PD). It impairs nutrition and quality of life and is closely linked to aspiration pneumonia, a leading cause of death in this population. It is often underrecognized, partly because subjective complaints underestimate the impairment found on objective testing, and partly because silent aspiration progresses without a protective cough. This review examines dysphagia in PD from a rehabilitation perspective, covering its pathophysiology, clinical features, assessment, and the evidence for rehabilitative interventions. Parkinsonian dysphagia arises from dopaminergic, non-dopaminergic, and peripheral mechanisms, and because it responds inconsistently to levodopa, rehabilitation has …

An Anatomy-Aware Efficientnetb0 And Cbam Framework For Suppressing Hard Boundary Bias In Mri Brain Tumor Classification, Ali Abdulzahraa Jalil, Ahmad Fatlawi, Hussein Ali Hussein Al Naffakh, Umar Farooq Khattak

Polytechnic Journal

The accurate classification of brain tumors from Magnetic Resonance Imaging (MRI) is important for prognosis and treatment planning in neuro-oncology. Although Convolutional Neural Networks (CNNs) dominate medical image analysis and achieve high scores, many rely on a clinically dangerous shortcut that we call Hard Boundary Bias (HBB). When an MRI slice is saved with zero padding, the boundary between the bright skull and the dark background forms the strongest gradient in the image, and the network fixes on this artificial edge instead of the tumor. To address this, we propose a lightweight framework that combines an EfficientNetB0 backbone with a …