Investigating The Relationship Between College Students’ Sense Of Belonging And Graduation Rates At A Private, Predominantly White Institution, Jamie Symonette

All Electronic Theses and Dissertations

This quantitative research analyzed the association between a sense of belonging and academic achievement among 514 undergraduates in a small, all-white institution (PWI), based on the 2025 Campus Life Survey and institutional data. Although national graduation disparities persist (64% of White students graduate within six years versus 54% of Latinx, 44% of Black, and 39% of Native American students), limited quantitative research has investigated belonging in private PWI settings. Variables were perceived sense of belonging, institutional climate, demographic factors (race/ethnicity, sex), academic advancement signs (cumulative GPA, earned credit hours), and seriously considered leaving. Multi-Regression (hierarchical and binary) and binary logistic …

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 …

A Scoping Review Of Non-Instrumental Dysphagia Screening Tools: Building Flowcharts To Guide Tool Selection, Yu-Chun Chang, Ming-Jhuan Wang, Shu-Fen Siao, Yu-Juan Xu, Meng-Shan Wu, Tyng-Guey Wang, Cheryl Chia-Hui Chen

Rehabilitation Practice and Science

Selecting an appropriate non-instrumental dysphagia screening tool is a complex process. This scoping review aimed to identify dysphagia screening tools with established reliability and validity, and to develop administrator-based flowcharts to guide tool selection across different clinical populations. A scoping review was conducted using studies identified in CINAHL, Embase, PsycINFO, PubMed, and Web of Science. Our search was guided by five keywords: “dysphagia,” “deglutition,” “screening,” “test,” and “measure.” Original studies about the development and validation of non-instrumental dysphagia screening tools were selected. Six reviewers were involved in the review process, and at least two reviewers independently completed each step of …

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 …

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 …

Artificial Neural Network Based Protection For Dc Bus Using Solid State Dc Breaker, Eswaraiah Giddalur, Askani Jaya Laxmi

ASEAN Journal on Science and Technology for Development

Low voltage Direct Current (LVDC) microgrids have been extensively used as a hopeful technology with high access to distributed energy resources (DERs) and DC loads, due to the absence of multiple conversions. A high amplitude Fault current together with the vulnerability of electronic devices, poses a great challenge to the line protection in LVDC microgrids. Electromechanical switches are slow and take long tripping time to clear the short circuit fault. Power electronic circuit breakers are used to achieve fast fault interruption recent progress in areas like machine learning and natural language processing have affected nearly every assiduity and area of …

Extraction And Characterization Of Fresh And Dehydrated Cactus (Opuntia Ficus Indica) Polysaccharide For Hydrogel Preparation, Aye Thwe Thwesoe, May Myat Khine

ASEAN Journal on Science and Technology for Development

In this research, extraction of polysaccharide compounds from Cactus (Opuntia Ficus Indica) leaves in both fresh and dehydrated condition by solvent precipitation method using three types of water, acid (HCL) and NaOH. Before extraction, the physicochemical properties were examined to determine optimum yield (%) of extracted polysaccharide by optimization of Box-Behnken Design (BBD) of response surface methodology (RSM). The polysaccharide-based acrylamide hydrogel was prepared by free radical polymerization. The functional and structural characterization was done by FTIR, XRD and SEM for examination of extracted polysaccharide as raw polymer backbone in hydrogel preparation and prepared hydrogel as adsorbent for metal removal. …

Unlocking Green Potential In Indonesian Small Medium Enterprises: Challenges And Opportunities For Sustainable Vermicelli Production, Togar W. S. Panjaitan, Karina Agustin, Prayonne Adi, Jani Rahardjo, I Nyoman Sutapa

ASEAN Journal on Science and Technology for Development

Due to limited initiatives and support, the transition to green manufacturing among small and medium enterprises (SMEs) in developing countries remains challenging. Through a critical literature review and case study of the Indonesian vermicelli industry, this study highlights the importance of collaboration and strong policies to address this. Other findings also reveal that the energy intensity and emissions in the sector exceed best practice benchmarks, with the cooking and drying stages contributing significantly to emissions due to high energy consumption. Lack of government regulations, company awareness, and understanding of applicable practices and technologies creates challenges in green manufacturing. The study …

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 …