Digital Commons Network^™

Optimization Of Indigo Dyeing On Modal Fabrics Using Thiourea Dioxide As An Environmentally Friendly Reducing Agent, Monthon Nakpathom, Buppha Somboon, Nootsara Narumol, Rattanaphol Mongkholrattanasit, Pisutsaran Chitichotpanya, Nattaya Vuthiganond

Journal of Metals, Materials and Minerals

This investigation examines the potential of thiourea dioxide as an environmentally reducing agent for dyeing of natural indigo on modal fabrics. Although traditional sodium dithionite is effective, its sulfur by-products generate environmental concerns. Thiourea dioxide, which provides a more environmentally friendly alternative, was studied under various dyeing conditions. In this study, six dyeing parameters, including thiourea dioxide and sodium hydroxide concentrations, reduction temperature, reduction duration, dyeing time, and reduction-oxidation cycles, were optimized to enhance color strength. Results indicated that the most favorable reduction conditions were achieved when 80 g/L of thiourea dioxide and 2 g/L of sodium hydroxide were heated …

Eco-Friendly Synthesis Of Flower-Like Hierarchical Structure Of Cuo Nps For Advancing Photocatalytic Efficiency And Antibacterial Applications, Yodchai Tangjaideborisut, Shanmugam Shanmugam, Supakorn Boonyuen, Govindasamy Siva, Prema Yugala, Joon Ching Juan, Choowin Phanawansombat, Atchariya Pitintharangkul, Seerangaraj Vasantharaj, Pornpan Pungpo, Pariya Na Nakorn

Journal of Metals, Materials and Minerals

In recent decades, environmental pollution caused by organic dyes and pathogenic microorganisms has posed significant challenges to both ecological and public health. Therefore, the development of multifunctional materials capable of simultaneously degrading dyes and exhibiting antibacterial properties is crucial for effective environmental remediation. Combining photocatalytic dye degradation with antibacterial activity offers a promising approach to address these dual concerns in a single process. The present study investigates the copper oxide nanparticles (CuNPs) were prepared by green synthetic method using bamboo extract for degradation of methylene blue and in inactivation of biological pathogens. The green synthesized CuONPs were characterized various spectroscopic …

Enhancing Efficiency And Productivity Of Microbial Fuel Cells For Optimization Of Wastewater Treatment With Bioenergy Production, Diptimayee Pradhan, Krishna Pada Bauri, Debarpita Ghosal, Satchidananda Mishra, Abhijeet Das, Aditya Raj Singh, Akhil Gedela, Kumbhakarna Mallik, Mohammed Hassan Ali Hbag

Journal of Metals, Materials and Minerals

The primary objective is to remove the pollutants from the wastewater streams and reintegrate them into the water cycle, therefore safeguarding the environment and promoting public health. The utilization of membrane fuel cells (MFCs) enables the conversion of organic molecules present in wastewater into electrical energy, while concurrently generating potable water. To optimize the process, it is essential to understand the parameters that affect the performance and the relevant techniques such as electrode materials, microbial collectives, and operating settings to improve the efficiency and performance of MFC. Thus, it aims to present novel ideas that support the real-world deployment of …

An Integrative Bioinformatics Approach To Investigating Timp3 And Immune Cell Infiltration: Prognostic And Clinicopathological Implications, Neelam Bhola, Amit K. Jaiswal, Daman Saluja

Research Outputs: 2025-Present

Tissue inhibitor of metalloproteinase 3 (TIMP3) serves as a prominent endogenous inhibitor of matrix metalloproteinases (MMPs), playing a crucial role in inhibiting metastasis, and angiogenesis. However, its exact contributions to colorectal cancer (CRC) remain largely unidentified. We aimed to ascertain the prognostic significance of TIMP3 in CRC patients through a bioinformatic approach. GEPIA, UALCAN, Kaplan–Meier plotter, LinkedOmics, cBioPortal, GeneMANIA, TIMER, TISIDB, the ScTIME database, TISMO, TIDE, CAMOIP, and TISCH2 were employed to comprehensively analyze the differential expression, prognostic value, genetic alterations, signaling pathways, immune cell infiltration, tumor microenvironment (TME) and associated genes of TIMP3 in CRC patients. Compared to adjacent …

Assessing The Microbial Community Composition In Roof-Harvested Rainwater Intended For Crop Irrigation, Michael Arthur, Elena Alexandra Alexa (Oniciuc), Amy Mckenna, Michael Gaffney, Jesus Frias, Catherine M. Burgess

Research Outputs: 2025-Present

No abstract provided.

Seaweed (Laminaria Digitata) And Honey Kombucha: A Fermented Antioxidant-Rich Beverage: Fermentation, Anastasia Karpova, Deborah Adesina, Furong Tian, Azza S. Naik

Research Outputs: 2025-Present

Kombucha is a sweetened tea infusion fermented using a symbiotic culture of bacteria and yeast (SCOBY). Recently, kombucha has gained popularity due to its potential health benefits, attributed to its high antioxidant and probiotic properties. The aim of this research was to formulate a novel antioxidant-rich beverage with symbiotic benefits by utilizing ingredients such as Laminaria digitata (brown seaweed), cinnamon, and lavender adjuncts, alongside alternative substrates like acacia honey and conventionally used ingredients such as ginger (Zingiber officinale Roscoe). This study comprehensively evaluated parameters including pH levels, acidity, alcohol content, color, and antioxidant potential of the beverages. All kombucha beverages …

A Review Of The Efficacy Of Prostate Cancer Therapies Against Castration-Resistant Prostate Cancer, Shengxin Zhang, Tao Zhang, Gemma Kinsella, James Curtin

Research Outputs: 2025-Present

The standard treatments for prostate cancer (PCa) include chemotherapy, hormone therapy, targeted therapies based on androgen receptor (AR) and/or gonadotropin-releasing hormone (GnRH) receptor antagonists, and radiation therapy. But PCa therapeutic resistance remains an unsolved challenge, leading to progression to castration-resistant prostate cancer (CRPC). Emerging PCa therapies – including poly(ADP-ribose) polymerase (PARP) inhibitors, AR crosstalk signalling pathway inhibitors, B-cell lymphoma 2 (BCL-2) inhibitors, cyclin-dependent kinase 4 (CDK4)/CDK6 inhibitors, CRISPR/Cas9, epigenetic inhibitors, and nanotechnology-based drug-delivery approaches – provide promising targeted solutions. Targeted protein degradation therapy, particularly AR degradation therapies, effectively inhibits resistance at its source. This review summarises the established and emerging …

Ultrasound-Assisted Sequential Processing Of Barley Straw Using Binary Acidic And Hydrated Ternary Deep Eutectic Solvents For Nanocellulose Production, Dileswar Pradhan, Swarna Jaiswal, Brijesh K. Tiwari, Amit K. Jaiswal

Research Outputs: 2025-Present

This study aimed to valorise barley straw by using a binary acidic deep eutectic solvent (DES) made from choline chloride and lactic acid for biomass pretreatment, and a hydrated ternary DES (HDES) composed of betaine, oxalic acid, and water (BOW HDES) for downstream processing to produce nanocellulose. The ultrasound-assisted DES pretreatment significantly enhanced lignin and hemicellulose solubilisation, achieving an average lignin removal of 70.54 % and hemicellulose solubilisation of 69.58 % under optimal conditions. Purification of US-DES-treated solid residue resulted in a cellulose yield of 39.81 ± 1.47 % with a purity of 91.31 ± 0.93 %, comparable to or …

Microencapsulation Of Capsicum And Its Derivatives Compounds By Spray-Drying: A Review, Ana Gabriela Da Silva Anthero, Larissa Consoli, Jesús Maria Frías Celayeta, Cinthia Baú Betim Cazarin, Miriam Dupas Hubinger

Research Outputs: 2025-Present

No abstract provided.

Development Of Novel Anticancer Pyrazolopyrimidinones Targeting Glioblastoma, Kate Byrne, Natalia Bednarz, Ciara Mcevoy, James Curtin, John C. Stephens, Gemma Kinsella

Research Outputs: 2025-Present

Glioblastoma (GBM) is the most common and aggressive malignant grade IV brain tumour and is one of the most difficult types of brain cancer to treat with a high incidence of resistance to traditionally used chemotherapeutics. Pyrazolopyrimidinones are fused nitrogen-containing heterocyclic systems which are a scaffold in several bioactive drugs and drug candidates. Here, a structure activity relationship (SAR) study was performed where 23 substituted pyrazolo[1,5-α]pyrimidinones were screened for cytotoxicity against the GBM U-251 MG cell line and the non-cancerous embryonic kidney HEK293 cell line to assess their potential as anti-glioblastoma agents capable of selectivity for cancer cells. Through analogue …

Comparative Evaluation Of Ai-Generated Synthetic Data And Real-World Data Performance In Predictive Analytics, Corey Louise Hughes

ICT

There are growing restraints when it comes to Real World Data (RWD), these include topics such as privacy regulations, ethical concerns, and the cost of collecting the data, and they have drove an interest in AI-generated synthetic data as a potential alternative in predictive analytics. This project examines the possibilities of synthetic data and if it can act as a reliable substitute for RWD in predictive modelling. This project uses Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) to generate synthetic reproductive health data and evaluates its predictive performance against RWD using linear regression and key metrics, including Mean Absolute …

Cancer Registry Newsletter Vol. 06, Cancer Registry

Cancer Registry, AKUH Archives

• Messages
• Cancer Registry Team
• Cancer Committee Members
• Cancer Registry AKUH
• Our Mission
• Cancer Report
• Age-Group Distribution of Top Five Cancers
• Total Count with Gender Breakdown
• Top Ten Males 2025
• Top Ten Females 2025
• Data Release
• Top Ten Malignancies in Children (2025)
• Distribution of Malignancies According to the Geographical Area of Patients
• Poster Presentation
• Ongoing Projects
• Karachi Cancer Registry
• Implementing a Real-Time Cancer Registry Model
• Cancer Registry Website
• Quarterly Reporting of Cancer Registry Data
• National Media Highlights Scoping Review on Cancer Registries in Pakistan
• Achievements
• Activities
• Head and Neck Cancer Awareness Session 2025
• HIMS Appreciation Lunch 2025
• Independence Day Celebration
• Department …

Comparison Of Statistical, Machine Learning, And Deep Learning Models For Time-Series Forecasting Using Weather Data From Dublin, Ireland., Erick Eduardo Rios Treviño

ICT

This study compares three time-series forecasting paradigms—statistical, machine learning, and deep learning—using ten-years of historical weather data from Dublin. The objective is to evaluate the performance of Prophet, XGBoost, and LSTM when forecasting daily solar radiation under multiple preprocessing strategies. An extensive data analysis was conducted, including descriptive statistics, inferential testing, stationarity assessment, outlier detection, feature selection, and exploratory visualisation. These steps revealed strong annual seasonality, nonlinear feature relationships, and variability across meteorological variables, informing the modelling framework and feature-engineering decisions. Four experiments were conducted using cleaned data, differenced data, log-transformed data, and cross-validation. Results show that XGBoost achieved the …

Are A.I. Lawyers A Legal Product Or Legal Service?: Why Current Upl Laws Are Not Up To The Task Of Regulating Autonomous A.I. Actors, Sean Steward

Akron Law Faculty Publications

The rise of automation, particularly with the advent of large language models, presents a significant potential for the legal profession. While automation has traditionally focused on manual and repetitive tasks, A.I.'s evolution now allows machines to handle complex, thought-intensive work involving decision-making. This shift underscores a pressing issue: the American legal system lacks a clear definition of the practice of law. This becomes especially critical as A.l, an "autonomous actor," begins to take on roles that were previously exclusive to human practitioners. One company that exemplifies the advanced capabilities of modern A.I.-powered technology is Pactum Al Pactum's autonomous negotiation software …

Strategic Analysis Of Employment Permit Statistics And Predictive Analytics For Workforce Planning In Ireland, Amy Souza, Thaynna Vieira

ICT

By analysing historical employment permit data from Enterprise.gov.ie (Enterprise.gov.ie, 2024), this project has the aim to use Data Analytics and Machine Learning to make predictions of employment permits trends across sectors and companies, providing insights to optimize workforce planning for Recruitment Agencies and guide international job seekers requiring work visas. The insights gained are intended to enhance strategic recruitment practices and empower job seekers to make informed career decisions in Ireland’s competitive labour market.

Legal Barriers To Maternal Healthcare Equity, Ashley Keith

Akron Law Faculty Publications

In examining contemporary maternal healthcare inequity in clinical care delivery, we must study the critical role played by the legal institutions in creating and perpetuating this problem. Comprehensive systems within the United States require legal advocacy and judicial enforcement to take shape and maintain their structural integrity. Healthcare in this country is no different. Legal institutions helped form and further, both intentionally and inadvertently, the racial disparities that we currently battle. Legal history plays an integral role in understanding why racial disparities in maternal mortality persist. One way for legal professionals to contribute to the ongoing efforts to achieve maternal …

Detecting Fake News Using Ai, Gustavo Lambert, Ignatio Varela

ICT

This project investigates how Artificial Intelligence (AI), specifically supervised machine learning techniques, can be applied to detect and classify fake news with high accuracy. The motivation stems from the widespread dissemination of misinformation on social media, where false narratives often spread faster than verified content. To address this issue, two distinct classification models were implemented and evaluated: one combining TF-IDF vectorization with Random Forest classifier, and another using TF-IDF with Logistic Regression. The TF-IDF technique was used to convert raw textual data into meaningful numerical features, capturing word frequency and relevance within the corpus. Both models were trained and tested …

The Use Of Deep Learning Solutions To Develop A Practice Tool To Support Lámh Language For Communication Partners, Gabriel Bueno Pimentel Borges

ICT

This study has proposed an alternative to promote the learning and enhancement of Lámh language for communication partners that support current users by creating a real time detection tool to recognise 20 chosen Lámh signs based on existing studies in the field. This implementation was carried out by generating primary data composed by MediaPipe landmark numpy arrays of 40 frames and 45 repetitions per sign. The Neural Networks were built using the Python library Keras and the applied SVM models were built with the library sklearn. The real time detection was carried out by integrating the mentioned elements with the …

Big Data Vs Big Law: The Impact Of Big Data And Machine Learning In Anonymising Or Synthesizing Data For Use Across Borders., Kenneth Darker

ICT

This research investigates the viability of anonymization and synthetic data generation in the area of big data so that the data could be shared across borders and exist outside the constraints of privacy laws. These privacy laws are growing around the world to help protect individual identity and prevent open sharing of private data. These privacy laws all provide guidance on how data may be shared and the strict conditions upon how that may occur. Two methods which are growing in popularity are anonymization of data, specifically k-Anonymity, l-Diversity and t-Closeness, and generating synthetic data from a real dataset leveraging …

Detecting Fake News Using Ai, Gustavo Lambert, Lucas Schultz

ICT

This is a document that presents a strategic analysis of the project “Detecting Fake News using AI”. Developed as part of the BSc (Hons) in Computing in IT at CCT College Dublin. The goal is to analyse the potential advantages, exploiting the viability and the impact of applying Artificial intelligence to check, verify and alert about misinformation found and to answer the question “How can Artificial Intelligence be leveraged to accurately detect and combat fake news while ensuring data privacy and compliance with regulations?” and “To what extent can AI-driven misinformation detection help reduce the spread of fake news on …

Work And Human Vocation In Catholic Social Teaching, Stefan M. Mcdaniel

Journal Articles

From the Article

This essay explores Catholic social teaching on work, focusing on how labor should enable humans to fulfill their vocation through experiences of dominion and communion. Drawing from papal encyclicals and theological anthropology, it examines how work becomes a means for humans to exercise their God-like faculties by intelligently shaping creation (dominion) and building rich relationships (communion). The essay argues that Catholic teaching offers distinctive contributions to contemporary workplace justice movements through its emphasis on two priorities: promoting worker-ownership and supporting family life. Worker-ownership, especially through cooperatives, enables labor to become an exercise of dominion, while family-centered policies …

Contract Or Prison, Sadie Blanchard

Journal Articles

Critics of the criminal enforcement system have condemned the expansion and privatization of electronic monitoring, criminal diversion, parole, and probation. But the astonishing perversion of contract involved in these new practices has gone unnoticed. Governments are turning to “offender-funded” programs that empower firms to contract with people who are suspected of or have been convicted of crimes— and whose alternative to agreeing to these contracts is prosecution or incarceration. Though incarceration-alternative (IA) contracting is sometimes framed as humane, historical and current context illuminates its coercive nature. IA contracting must be examined under classical contract theory and in light of the …

The Purpose Of The Preliminary Injunction, Samuel Bray

Journal Articles

This Article explores a reshaping of the preliminary injunction that is occurring in the federal courts. A preliminary injunction is designed to be a "hold in place" order, blocking actions by the parties that would undermine the efficacy of the court's remedial options. But the preliminary injunction is becoming a device for accelerating the merits decision. Instead of a four-factor test for preliminary relief, increasingly there is one factor: the merits. This Article critiques this transformation, and it argues that the preliminary injunction should be recentered on the protection of the court's remedial options.

Can The Sec Mandate Disclosures That Contain Both Financial And Social Information? The Case Of The Human Capital Management Disclosures, Patrick M. Corrigan

Journal Articles

Human capital contributes directly to the top and bottom line of corporate financial performance. However, theory predicts, and empirical studies suggest, that firms underinvest in human capital because of a classic public goods problem: since employees can always leave to work for another employer, firms cannot expect to bear all the fruits of investments they make in human capital. As human capital becomes more important in the modern service and technology economy, the ills of this public good problem are growing and the deficiencies of underinvestment becoming more apparent. This Article studies the potential role of human capital management disclosures. …

Going En Banc, Randy J. Kozel

Journal Articles

This Article examines the law of en banc review in the federal courts of appeals. It explores key doctrinal questions and advances a theory that maintains the primacy of three judge panels by focusing the en banc process on a specialized set of institutional tasks.

Litigating Climate Vulnerability: Climate Change Reparations In Global Jurisprudence And Empirical Results From The Notre Dame Climate Change Reparations Dataset, Diane A. Desierto, Anibal Perez-Linan, Faisal Yamil Meneses, Yuta Inada, Rachael Degaugh, Andrew Marciano

Journal Articles

From the article

The global surge in climate change litigation provokes inquiry into the nature, frequency, and scope of climate change reparations that international, regional, and national courts, as well as arbitral tribunals and other adjudicative bodies such as UN treaty body mechanisms, determine to be adequate, both on legal merits as well as intrinsic claims of justice, for the resolution of disputes brought by climate vulnerable persons, groups, and constituencies against States, multinational corporations, and other actors. Our findings from the Notre Dame Climate Change Reparations Dataset reveal a broad spectrum of pecuniary and non-pecuniary reparations being adjudicated in …

Originalism's Difference?, Sherif Girgis

Journal Articles

From the Aritcle

My topic is whether originalism makes any practical difference to constitutional reasoning and outcomes, relative to other methods of interpretation.

INTRODUCTION ............................................. 1945

I. JUSTICE SCALIA'S VISION OF CONTRASTS .................. 1949

II. THE BREAKDOWN OF CONTRASTS ........................... 1952

III. REMAINING CONTRASTS: REAL BUT ELUSIVE TO THEORY....................................................... 1961

IV. THE CHAMBERS ORIGINALISM DIFFERENCE .................. 1966

CONCLUSION: LOOKING AHEAD ................................ 1973

Voice-Activated Self-Monitoring Application (Vois): User Acceptance And Satisfaction In The Field, Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Shiyu Tian, Min Sook Park, Jake Luo, Sheikh Iqbal Ahamed, Evelyn Chan, Jeffrey Whittle

Computer Science Faculty Research and Publications

This paper illustrates the processes and results of user acceptance and satisfaction tests for the voice-activated self-monitoring (VoiS) application conducted in the field. VoiS was designed and developed for individuals with diabetes (DM) and hypertension (HTN) to support their routine and convenient self-management using a smart speaker platform. VoiS is also accessible on users’ mobile devices to visualize user-generated data. A total of nine adults with DM and HTN participated and were asked to use the VoiS system at home for a week to identify its acceptability in real-world conditions. Participants completed phone interviews to report operational errors and a …

Digital Health Using Data Science, Padmapriya Velupillai Mekandan, Paramita Basak Upama, Masud Rabbani, Amity Ali, Sheikh Iqbal Ahamed

Computer Science Faculty Research and Publications

The digitization of healthcare has led to an unprecedented growth in health-related data, offering new opportunities to transform clinical decision-making, disease prediction, and patient engagement. However, extracting actionable insights from diverse data sources such as electronic health records, wearable devices, and mobile health apps requires a fusion of domain knowledge in healthcare and technical expertise in data science. This paper presents a structured, interdisciplinary framework for digital health that emphasizes practical strategies for data acquisition, preprocessing, feature engineering, machine learning, and ethical data use. The model promotes a holistic understanding of digital health challenges and opportunities, preparing future professionals to …

Secure Ios Mhealth Apps Development: An Ide-Embedded Framework For Hipaa-Aware Coding, Bajlur Rashid, Md Abdul Barek, Mostafizur Rahman, Sharmin Yeasmin, Hossain Shahriar, Sheikh Iqbal Ahamed

Computer Science Faculty Research and Publications

With the rapid growth of technology, accessing digital health records has become increasingly easier. Especially mobile health technology like mHealth apps help users to manage their health information, as well as store, share and access medical records and treatment information. Along with this huge advancement, mHealth apps are increasingly at risk of exposing protected health information (PHI) when security measures are not adequately implemented. The Health Insurance Portability and Accountability Act (HIPAA) ensures the secure handling of PHI, and mHealth applications are required to comply with its standards. But it is unfortunate to note that many mobile and mHealth app …