Digital Commons Network^™

Novel Technique For Enhancing The Therapeutic Efficacy Of Coenzyme Q10 In Transdermal Drug Delivery Systems For Skin Rejuvenation, L. M. Hettihewa, K. G. P. Wasana, Y. M. Imendra, G. P. C. Weerasooriya, W. M. K. M. Rathnayake

Journal of Innovation in Science, Engineering and Technology

Coenzyme Q10 (CoQ10) is a very imperative compound for electron transport chain in mitochondria and exerts its effects as cutaneous antioxidant. All human cells have CoQ10, and sometime deficiency had been identified due to genetic defects or with ageing. Supplements with COQ 10 are commonly used enteral and dermal application for the prevention and treatment of aging. Delivery of dermal CoQ10 is very limited due to its poor penetration and unstable compounds. systematic review was conducted by our research group through electronic databases using preclinical and randomized controlled trials to evaluate the efficacy and stability of improved delivery systems of …

Assessment Of Antioxidant Retention Of Boiled And Non-Boiled Aqueous Extracts Of Broccoli, Cabbage, Kohlrabi And Cauliflower In Sri Lanka, D. M. S. S. Dassanayake, B. C. K. Kumari, P. R. H. Perera, G. M. Yasasvi, L. M. Hettihewa, W. M. K. M. Ratnayake

Journal of Innovation in Science, Engineering and Technology

The comparison of antioxidant activities between non-boiled and boiled aqueous extracts of selected vegetables from the Brassica oleracea L. species is an interesting study topic, particularly in a context like Sri Lanka, where traditional and modern medicinal practices often emphasize the role of dietary plants in health. Hence, this was aimed to evaluate the antioxidant potential of boiled and non-boiled aqueous extracts (BAE and NBAE respectively) of selected vegetables belonging to the Brassica oleracea L species, which are commonly consumed as a raw vegetable in fresh salads as well as a cooked vegetable in curry or fried form i.e. Brassica …

Assessment Of In-Vitro Anti-Diabetic And Antioxidant Activities Of Selected Edible Mushrooms, Agaricus Bisporus (Button Mushroom), Pleurotus Cystidiosus (Abalone) And Pleurotus Ostreatus (American Oyster) In Sri Lanka, E. J. Siriwardene, G. S. D. Nawaruwan, A. H. M. A. N. Abesinghe, H. D. Dedigama, K. H. E. Fernando, K. D. K. P. Kumari, W. M. K. M. Ratnayake

Journal of Innovation in Science, Engineering and Technology

Mushrooms are a valuable source of proteins and vitamins as well as a food source with several pharmacological values. Hence, Higher mushroom consumption can lower the risk of certain diseases. However, a literature survey revealed that published scientific information on the therapeutic potential of some edible mushrooms is still being determined. Hence, this study evaluated and compared the antioxidant and α -amylase potential of some of the three commonly used mushroom varieties in Sri Lanka i.e. Agaricus bisporus (Button mushroom), Pleurotus cystidiosus (Abalone mushroom) and Pleurotus ostreatus (American oyster). The antioxidant activity of hot aqueous extracts of the above three …

Body Mass Index And Clinical Phenotypes Of Primary Dysmenorrhea In Female University Students: Evidence From Sri Lanka Using Walidd Scoring, H. K. A. N. Senanayake, K. L. A. S. I. Liyanarachchi, J. K. M. Jagoda, S. A. S. A. Maheepala, L. C. Mallawa, P. W. T. M. Dayarathne, Y. T. R. Somisena, L. M. Hettihewa

Journal of Innovation in Science, Engineering and Technology

This research investigates the relationship between body weight and the severity and characteristics of primary dysmenorrhea among female undergraduates in Sri Lanka, using the WaLIDD Score as an evaluative tool. The study aims to assess the practicality of the WaLIDD Score in native settings, examining its correlation with pain intensity, pain location, and common medication patterns, while addressing gaps in previous research conducted in Sri Lanka. A quantitative cross-sectional study was conducted among 389 female university students aged 19–27 years from both state and non-state universities in Sri Lanka, selected through stratified random sampling. Participants with chronic or menstrual diseases, …

Conceptual Analysis Of Ārthavavaha Srotas (Female Reproductive System): A Review Of The Theories And Literature, Pushpa Kulanatha, H. L. M. G. Sajeewani

Journal of Innovation in Science, Engineering and Technology

The reproductive health of females during their fertile years is foundational for individual well-being and societal prosperity. The purpose of this study was to bridge the analytical and epistemological gaps currently existing in the literature regarding Ārthavavaha Srotas (ĀvS), the Ayurvedic concept of the female reproductive system. A comprehensive literature review was conducted using forward and backward searches to analyse authentic Ayurvedic texts (Caraka and Sushruta Samhitas) alongside contemporary research articles published between 2014 and 2024. The analysis identified ten specific aspects of the ĀvS where prior interpretations were superficial or unclear. The results of this study epistemologically validate ancient …

Electrocatalytic Degradation Of Methylene Blue Using Rgo, Sb2o3, And Rgo-Sb2o3 Composite Ink-Based Electrodes, Maria Irene Myers Armas, Andrea M. Fletes, Thomas Eubanks, Arnulfo Mar, Jason Parsons, Helia Magali Morales

School of Integrative Biological & Chemical Sciences Faculty Publications

Water pollution from industrial dyes is a critical challenge due to the resistance of these types of compounds to degradation and potentially harmful effects on living organisms and human health. In this study, the electrochemical degradation of methylene blue (MB) was investigated using ink-based copper foam electrodes with reduced graphene oxide (rGO), antimony trioxide (Sb2O3), and rGO/Sb2O3 composites. The materials used to synthesize the electrodes were characterized by X-ray diffraction (XRD), which showed the successful synthesis of GO, rGO, and the Sb2O3-rGO composite. Additionally, the synthesized electrodes were examined using SEM. The MB degradation was studied using kinetic behavior and …

On Explaining The Sentiments In Prediction Of Stock Movement: An Xai-Based Analysis, D. J. Ranade, Sarthak Bhaya, Siddhanth Bhimakari, Moe Aye Chan, Keith Quille, Rajesh Jaiswal

Research Outputs: 2025-Present

Empirical evidence shows that short-horizon equity returns are not fully random; there is a degree of predictability, especially when traditional financial data is combined with public sentiment measures. Sentiment-based features have been used to improve prediction tasks, but there is limited explanation of their contribution. In addition, the impact of news on investor sentiment, and how that impact decays over time, has rarely been investigated. To bridge this gap, we integrate sentiment scores extracted from financial news headlines using HKUST FinBERT with daily market-based indicators to predict the next-day price direction. We evaluated two aggregation strategies: the most confident news …

Digital Services Taxes And The Wto, Reuven S. Avi-Yonah, Doron Narotzki

Articles

In an excellent Tax Notes article, Claudio Cipollini argues that the United States has adopted a paradoxical stance regarding digital services taxes. On one hand, the United States has repeatedly characterized DSTs as discriminatory trade barriers that unfairly target U.S. technology firms. On the other, it has systematically obstructed appointments to the Appellate Body of the WTO, leaving the dispute settlement mechanism effectively inoperative and ineffective. Cipollini presents this as a “missed WTO route,” suggesting that a functioning WTO system would primarily serve U.S. interests by disciplining European DSTs under the General Agreement on Trade in Services (GATS).

This article …

Enhancing Training For Law Enforcement In Mental Health Responses In The Community, Tiffany Raines

Walden Dissertations and Doctoral Studies

A significant issue in human services practice in Macon, Georgia, is law enforcement officers’ responding to individuals experiencing a mental health crisis in public. Many police officers are not equipped to handle situations involving individuals experiencing mental health events, leading to possible adverse outcomes such as injury, incarceration, or even fatalities. There are increasing rates of mental illness disorders, and therefore, the need for compassionate, informed approaches for human service professionals to respond to those in crisis. More training to improve responses can lead to better outcomes for individuals in crisis, foster community trust in law enforcement, and enhance overall …

Strspy2.0: Unlocking The Potential Of Long Reads For Forensic Dna Profiling, Courtney L Hall, Rupesh K Kesharwani, Katherine E Mcbroom Henson, Bupe Kapema, Nicole R Phillips, Fritz J Sedlazeck, Roxanne R Zascavage

Faculty, Staff and Students Publications

Forensic human identification relies on length-based differences in short tandem repeats (STRs) across autosomal and Y chromosomes, which require separate reactions and provide limited resolution. While next-generation sequencing offers greater discriminatory power, most platforms are expensive and restricted to traditional lab settings. Nanopore sequencing has the potential to change this with the real-time, portable MinION sequencer. However, forensic-specific tools that generate STR profiles compatible with established length-based databases are lacking. To address this, we developed STRspy2.0, which simultaneously profiles autosomal and Y-STRs using nanopore reads. STRspy2.0 produced accurate profiles for 54 multiplexed control libraries and 41 mock casework samples (blood, …

Modeling Spasticity: A Systematic Review, Gaby Gonzalez Chan, Jonathan Marsden, Alexander Besinis, Pablo Borja, Hilary Gunn

School of Health Professions

Spasticity, a type of hypertonia characterized by a velocity-dependent increase in muscle tone, is associated with damage to the brain and/or spinal cord in different neurological conditions. However, secondary non-neurological factors, such as soft tissue changes, can complicate the assessment and differentiation of the underlying causes. Accurate assessment is crucial for effective treatment planning, with clinicians relying on passive movement to grade the ‘feel’ of the spastic limb. This review aims to identify and evaluate the feasibility of spasticity models or simulations for clinical teaching. Models based on human spastic limbs were examined, with no restrictions on specific conditions or …

Data Preprocessing Methods For Automating Mlops Pipelines: A Comparative Study, Surya Teja Gowd Ayinavilli, Keith Quille, Tarry Singh

Research Outputs: 2025-Present

Preprocessing tools for data are increasingly being utilized in MLOps pipelines to develop models automatically. However, the fairness and reliability of automated processes are inadequately researched, risking causing performance degradation or bias. This discrepancy is addressed in this thesis with an evaluation of automated data preprocessing methods compared to a baseline approach, designed for integration into a TensorFlow Extended (TFX) pipeline. The performance of each method was compared in terms of classification measures and subgroup fairness to determine potential bias. Significance tests were employed to compare the performance of each automated method against the baseline. The results indicate that around …

Educators' Evaluation Of Explanation Types In Xai For Higher Education Dropout, Henry Maathuis, Jan Glazenborg, Meike Grol, Keith Quille

Research Outputs: 2025-Present

First-year student dropout rates represent a global challenge, particularly in Computer Science programs. In response, the Predict Student Success (PreSS) tool was developed over two decades using Naïve Bayes, a black box machine learning model, to identify students at risk of early withdrawal or academic failure. Given growing concerns about the use of black box models in high-stakes domains such as education, this study builds on former research by comparing the Naïve Bayes model to three glass box AI models: Decision Tree, Explainable Boosting Machine, and Automatic Piecewise Linear Regression. These models were used to generate four types of explainable …

Leveraging Graph Neural Networks For Explainable And Adaptive Seismic Risk Modelling (Work In Progress)), Shivam Tyagi, Musfira Jilani

Research Outputs: 2025-Present

Seismic risk modeling predicts the likelihood of earthquake occurrences in different regions over time. This presents a distinctive challenge as both the spatial structure of underlying geological features and the temporal evolution of seismic events must be accounted for accurately. In addition, for planners and decision-makers, it is essential that such models are not only accurate but also explainable. However, most existing models lack explainability, which limits their usefulness. This research proposes a novel graph neural network based seismic risk modeling methodology that is both explainable as well as adaptable, as it allows decision-makers the flexibility to choose the risk …

Emotional Intelligence And Problem-Solving Correlations And Impact On Employability: A Case Study From The Uae, Ganka Ivanova, Rakan Alhrhasheh

All Works

In this study, we aim to address questions about how UAE Leadership Development Plans and Employability connect with current students in UAE classrooms by evaluating the correlation between the employability of UAE university students and their emotional intelligence (EI) and problem-solving skills. Moreover, we cover what must be considered in the curricula of UAE Universities to prepare future leaders to lead the workforce. To that end, we employed an employability test developed by AQR International UK and collected data from 310 undergraduate students aged 17 to 55. Both EI and problem-solving skills were strongly positively correlated with employability (p < .001). Even though male participants scored higher than female participants for EI and problem-solving skills, analysis of variance revealed nonsignificant gender differences (p > .05 …

Shu World Review- February 16th 2026, Diplolab

SHU World Review

No abstract provided.

Ontology-Based E-Commerce Recommender System: A Hybrid Semantic Filtering Approach, Shaymaa Al-Juboori, Jocelyn Pua, Su-Cheng Haw, Lucia Dwi Krisnawati, Gee-Kok Tong

School of Engineering, Computing and Mathematics

The rapid growth of e-commerce has led to product overload, which has resulted in personalized product discovery becoming a crucial problem for consumers. Classic recommender systems (RS), which rely heavily on content-based filtering or collaborative filtering, tend to face well-known problems such as cold start, data sparsity, and ignorance of semantics. Such constraints frequently result in irrelevant or redundant suggestions, thereby lowering the user satisfaction and conversions. This study presents a hybrid ontology-based e-commerce recommender system that combines symbolic reasoning with deep semantic matching. The system is based on a Neo4j graph database to capture structured product relationships and is …

Molecular Detection Of Genes Encoded For Biofilm Formation In Bacteria Isolated From The Oral Cavity Of Patients, Tebarek Al-Taei, Ali A. Al-Hisnawi

Karbala International Journal of Modern Science

Background: A biofilm is a collection of the microbial cells attached to the surface that are encased in a matrix of extracellular polymers. Biofilm formation creates a physical and chemical barrier that prevents antibiotics from reaching bacterial cells, resulting in treatment failure and reinfection. The present study aimed to investigate the biofilm formation in bacteria isolated from the oral cavity of patients.

Methods: In this study, 150 bacterial isolates were obtained from tooth and gum surface swabs of male and female patients of different ages who visited specialized centers and dental clinics in Babylon City after they were clinically diagnosed …

A Virtual Community Math Circle, Skona Brittain, Sayonita Ghosh Hajra, Steve Heller, Daniel Hodgins, Peter Petto, Gabriella Pinter, Lauren Rose, A. Gwinn Royal, Asmita Sodhi

Journal of Math Circles

The Julia Robinson Mathematics Festival (JRMF) Community Math Circle is free, volunteer-run, and online. We collaborate with JRMF and use their activities in our events. Started during the pandemic, the Community Math Circle continues to thrive. We have about 40 participants attending every month, typically kids aged 6 to 13, teachers, facilitators, and other adults. This article describes how our event is organized, planned, and executed, and how we train facilitators. We will also offer reflections on our successes and challenges.

Competencies And Preparation For Addressing Poverty In Counselor Education: A Q Methodological Study, Seneka Rachel Gainer

Journal of Counselor Preparation and Supervision

This study explored the competencies needed to prepare counselors to address the systemic and relational impacts of poverty within counselor education. Using Q methodology, expert participants identified critical knowledge, skills, and awareness factors required for effective practice. Two distinct factors emerged: (1) the centrality of relational competencies such as empathy, cultural humility, and trust-building, and (2) the necessity for curriculum-wide integration of poverty-specific training and systemic advocacy. Findings highlight the need for counselor education programs to embed poverty-related competencies across curricula, foster interdisciplinary collaboration, and develop experiential and advocacy-based training models. Implications for counselor education, accreditation standards, and professional development …

The Feminist Impostor Phenomenon Approach (Fipa): A Feminist Approach To Addressing Impostor Phenomenon In Novice Counselors, Isabel Springer, Kelly Emelianchik-Key

Journal of Counselor Preparation and Supervision

Impostor Phenomenon (IP) is known to affect new professionals in health professions, yet there is little to no academic literature available on how it affects early career counselors and how it can be addressed. Novice counselors (NC) frequently experience extreme anxiety and feelings of fraudulence around their professional performance. Feminist mentorship and interventions can help alleviate IP and foster self-efficacy and confidence in new counseling professionals. The Feminist Impostor Phenomenon Approach (FIPA) consists of a three-hour workshop educating participants through a feminist lens about IP and relevant coping strategies, and subsequent weekly consciousness-raising groups where coping strategies are reinforced, and …

Artificial Intelligence Literacy In Counselor Education: The Developmental Ai Literacy Framework, Leo Gonzalez Jr.

Journal of Counselor Preparation and Supervision

Artificial intelligence (AI) is transforming counselor education, yet frameworks for preparing counselors-in-training (CITs) to use AI remain limited. This article introduces the developmental AI literacy framework (DALF), a conceptual model integrating developmental theory, professional identity formation, and AI literacy. The DALF reframes AI literacy as a developmental competency comprising intentional AI use, critical evaluation, ethical engagement, and awareness of professional identity. The framework outlines three stages, including foundational awareness, reflective application, and integrated professionalization, that parallel CITs’ growth from dependence to autonomy. Pedagogical, developmental, and research implications are provided to guide ethical and reflective AI integration in counselor education.

Prediction Of Thyroid Disease Based On Machine Learning Algorithms, Tuqa Ahmed Elbillihy, Eman Abdelhalim, Mohamed Ashour, Hala B. Nafea

Mansoura Engineering Journal

Accurately diagnosing thyroid disease remains a challenge in medicine, necessitating the use of reliable computational techniques for early detection and categorization. Using a dataset of 3164 patient records, this study applies machine learning algorithms to create a computer-aided thyroid disease diagnosis system. The data set includes demographic information, clinical indicators, and thyroid function test results. To improve model performance, the study focuses on preprocessing approaches such as data cleaning, normalization, and feature selection. The use of feature engineering techniques to determine the most predictive characteristics associated with thyroid problems is highlighted. Five machine learning classifiers—Random Forest, K-Nearest Neighbors, Support Vector …

Seismic Behavior Of Slender Cable-Supported Braced Frame Structures, Aya Aboelnaga, Mohamed Mortagi, Mohamed E. El Madawy, A.H.A. Abdelrahman, M. Naguib

Mansoura Engineering Journal

This research investigates advanced strategies to enhance the seismic performance and global stability of slender steel frames by integrating cable-supported and braced systems. To address these challenges, the study develops finite element (FE) models of multi-story slender frames in SAP2000, incorporating both cable-supported configurations and diagonal bracing systems. Nonlinear time-history analyses are performed using selected earthquake ground motions to evaluate structural response, inter-story drift, and mode shape behavior. Results highlight the efficiency of cablesupported frames in controlling lateral displacements and redistributing forces, while also emphasizing the role of bracing in providing additional stiffness. The findings demonstrate that guided frames with …

Six Ways Of Looking At A Car Crash, Christopher Mohar

Creative Nonfiction Magazine

No abstract provided.

Origami & The Art Of Identity Folding, Ac Fraser

Creative Nonfiction Magazine

No abstract provided.

A Murderer's Work, J. Nicholas Geist

Creative Nonfiction Magazine

No abstract provided.

Media Review Of Recovering The U.S. Hispanic Literary Heritage Digital Collections, Lingyan Yang

Feminist Pedagogy

This media review of Recovering the U.S. Hispanic literary heritage digital collections encourages feminist teacher scholars to use them to teach and research Latino/a American culture and history, esp. in feminist classes.

(Introduction To The Special Issue) Restoring Women’S Literary Past: Exploring Digital Recovery Pedagogy Through An Intersectional Feminist Lens, Alice Martin, Tracy A. Fernandez Rysavy

Feminist Pedagogy

In Roopika Risam (New Digital Worlds, 2018) and Lauren Klein and Catherine D’Ignazio’s (Data Feminisms, 2020) recent work, they call for more attention to the intersecting relationships between feminist practice, content, and technical specifications through an awareness of the ways the design and implementation of technology can exclude and objectify people. In response to this, we introduce a special issue on teaching digital recovery in the classroom, with a focus on recovering women writers of America through digital projects.

Whose Water Is It, Anyway? Federalism And Texas V. New Mexico, Bryon Louk

Arkansas Law Review

When a problem erupts between two states, interstate compacts provide a solution without the need for a nationwide decision. Rather than waiting for federal consensus, the states can, with Congressional approval, compact to solve their problems. However, the Supreme Court’s decision in Texas v. New Mexico (Texas II) has threatened interstate compacts, ignored principles of federalism, and overextended its original jurisdiction. It has allowed the United States to force Texas and New Mexico to keep fighting over a compact, even when the states have resolved their issues on their own.

First, this Comment will describe the legal background of compact …