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Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al. Jan 2026

Oculomics And Ai: The Eye As A Biomarker For Health Span, Joy Le Yi Wong, Rajendra S Apte, Et Al.

2020-Current year OA Pubs

As the world's population ages, the focus of healthcare is shifting from extending life span to promoting health span. There is an unmet need to identify sensitive and reliable markers of health span through more cost-effective and non-invasive methods, to enable early and effective intervention on modifiable aging factors. The eye offers a unique window into systemic health, providing direct visualization of the body's vascular and neural health. This review presents an overview of how various ocular structures can serve as biomarkers of health span-drawing on insights from ocular imaging, metabolomics, and proteomics, with evidence from basic science, animal models, …

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A Comprehensive Review Of Cyber Security And Current Practices In Global Mining Critical Infrastructure, Abu Barkat Ullah, Wanli Ma, Mohiuddin Ahmed, Bazlur Rashid, Munir Ahmad Saeed, Omer Arshad, Utkarsh Raghav Jan 2026

A Comprehensive Review Of Cyber Security And Current Practices In Global Mining Critical Infrastructure, Abu Barkat Ullah, Wanli Ma, Mohiuddin Ahmed, Bazlur Rashid, Munir Ahmad Saeed, Omer Arshad, Utkarsh Raghav

Research outputs 2022 to 2026

The purpose of the study is to explore the reasons behind the low uptake of Information Security Management Standards (ISMS), Asset Management, and Business Continuity Plans despite increasing cyber threats to the mining sector. Mining companies need to modernize and automate to keep up with the ‘Fourth Industrial Revolution’, driven by disruptive technology, forcing systems and technologies to become more integrated, increasing cyber attack threats. To address this, we conducted a literature review analyzing the mining industry across various regions. The research is based on a qualitative analysis of diversified literature. The results highlighted factors behind the low uptake of …

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Can Dna Be Glycosylated?, Wei Wang Jan 2026

Can Dna Be Glycosylated?, Wei Wang

Research outputs 2022 to 2026

No abstract provided.

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Pathways To Prosperity: How Tourism Industry Training Reduces Poverty, Panpan Sun, Songshan Huang, Ghialy Yap, Zhibin Lin, Lei Zhao Jan 2026

Pathways To Prosperity: How Tourism Industry Training Reduces Poverty, Panpan Sun, Songshan Huang, Ghialy Yap, Zhibin Lin, Lei Zhao

Research outputs 2022 to 2026

This study investigates the effects of tourism industry training (TIT) on poverty alleviation, considering both direct and indirect pathways. Integrating labour mobility theory, human capital theory, and the tourism-led growth (TLG) hypothesis, we propose a new theoretical framework. Based on panel data from 29 Chinese provinces between 2000 and 2019, the empirical results show that TIT has a significant negative effect on poverty level, depth, and severity, with a larger direct impact than the indirect effect through tourism development. We also find significant regional differences in the impact of TIT on poverty reduction, with TIT having a more substantial impact …

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Optimisation Of Laminar Jet Flow Microencapsulation Variables To Enhance The Anthocyanin Retention And Antioxidant Function Of Sohiong, Roshiya Nongmaithem, Raju Sasikumar, Kaviarasu G., Selva Kumar T., Ravikumar Rajarathinam, Paras Sharma, Sheena Haorongbam, Kowsalya T., K. Senthilkumar, Amit K. Jaiswal Jan 2026

Optimisation Of Laminar Jet Flow Microencapsulation Variables To Enhance The Anthocyanin Retention And Antioxidant Function Of Sohiong, Roshiya Nongmaithem, Raju Sasikumar, Kaviarasu G., Selva Kumar T., Ravikumar Rajarathinam, Paras Sharma, Sheena Haorongbam, Kowsalya T., K. Senthilkumar, Amit K. Jaiswal

Research Outputs: 2025-Present

Anthocyanins are valuable dietary elements with biological functions and health-promoting effects. However, there are technological barriers to their use in the food industry, primarily due to their poor stability and susceptibility to environmental factors, such as oxygen, temperature, pH, and light, which can significantly affect the physicochemical characteristics of the final food products. In this study, the microencapsulation of an anthocyanin extract from sohiong fruits was performed using a laminar jet flow vibration nozzle, with calcium chloride as a hardening agent and sodium alginate as a polymer. To produce calcium-alginate microbeads with a high anthocyanin content and favourable morphological characteristics, …

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Techmate:: Translating Gender Equality Research Into Actionable Practice For Computing Educators, Alina Berry, Susan Mckeever, Brenda Murphy, Sarah Jane Delany Jan 2026

Techmate:: Translating Gender Equality Research Into Actionable Practice For Computing Educators, Alina Berry, Susan Mckeever, Brenda Murphy, Sarah Jane Delany

Research Outputs: 2025-Present

The persistent underrepresentation of women in computing higher education remains a global challenge, with women comprising less than 20% of ICT specialists across the EU. While substantial research has identified effective interventions to support underrepresented groups, this evidence remains fragmented across academic publications, grey literature, and institutional reports. Educators seeking to implement gender-inclusive practices face significant barriers in identifying relevant initiatives, understanding implementation requirements, and accessing practical guidance suitable for their institutional contexts. This work presents TechMate, a fully operational (https://ascnet.ie/techmate/) web-based, open-access toolkit designed to bridge the gap between research evidence and practical implementation. The toolkit consolidates over 25 …

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Optimizing Ucs Prediction Models Through Xai-Based Feature Selection In Soil Stabilization, Ahmed Mohammed Awad Mohammed, Omayma Husain, Mosab Hamdan, Abdalmomen Mohammed, Abdullah Ansari, Atef Badr, Abubakar Elsafi, Abubakr Siddig Jan 2026

Optimizing Ucs Prediction Models Through Xai-Based Feature Selection In Soil Stabilization, Ahmed Mohammed Awad Mohammed, Omayma Husain, Mosab Hamdan, Abdalmomen Mohammed, Abdullah Ansari, Atef Badr, Abubakar Elsafi, Abubakr Siddig

Research Outputs: 2025-Present

Unconfined Compressive Strength (UCS) is a key parameter for the assessment of the stability and performance of stabilized soils, yet traditional laboratory testing is both time and resource intensive. In this study, an interpretable machine learning approach to UCS prediction is presented, pairing five models (Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), CatBoost, and K-Nearest Neighbors (KNN)) with SHapley Additive exPlanations (SHAP) for enhanced interpretability and to guide feature removal. A complete dataset of 12 geotechnical and chemical parameters, i.e., Atterberg limits, compaction properties, stabilizer chemistry, dosage, curing time, was used to train and test the models. …

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Mid-Infrared Spectroscopy And Machine Learning For Chlorogenic Acid Quantification In Coffee, Deborah Herdt, Felix Wühler, Thomas Kunz, Victoria Schiwek, Sarah Kühnemuth, Brian Gibson, Matthias Rädle Jan 2026

Mid-Infrared Spectroscopy And Machine Learning For Chlorogenic Acid Quantification In Coffee, Deborah Herdt, Felix Wühler, Thomas Kunz, Victoria Schiwek, Sarah Kühnemuth, Brian Gibson, Matthias Rädle

Research Outputs: 2025-Present

To predict chlorogenic acid (CGA) concentration in coffee during roasting, a machine learning algorithm was applied to mid-infrared (MIR) data. A total of 44 roasting samples between 140 and 220 °C, along with an unroasted control, were dry-heated in an eddy current roaster and subsequently ground and measured. CGA concentrations were predicted from MIR spectroscopy data using a multilayer perceptron (MLP) regressor and validated against a high-performance liquid chromatography with diode array detector reference. The algorithm performed spectral preprocessing and selected relevant wavenumber regions. The MLP-based model achieved a high coefficient of determination, outperforming classic peak evaluation, indicating that automated …

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Smart Biosensing Nanomaterials For Alzheimer’S Disease: Advances In Design And Drug Delivery Strategies To Overcome The Blood–Brain Barrier, Manickam Rajkumar, Furong Tian, Bilal Javed, Bhupendra G. Prajapati, Paramasivam Deepak, Koyeli Girigoswami, Natchimuthu Karmegam Jan 2026

Smart Biosensing Nanomaterials For Alzheimer’S Disease: Advances In Design And Drug Delivery Strategies To Overcome The Blood–Brain Barrier, Manickam Rajkumar, Furong Tian, Bilal Javed, Bhupendra G. Prajapati, Paramasivam Deepak, Koyeli Girigoswami, Natchimuthu Karmegam

Research Outputs: 2025-Present

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by persistent memory impairment and complex molecular and cellular pathological changes in the brain. Current treatments, including acetylcholinesterase inhibitors and memantine, only help with symptoms for a short time and do not stop the disease from getting worse. This is mainly because these drugs do not reach the brain well and are quickly removed from the body. The blood–brain barrier (BBB) restricts the entry of most drugs into the central nervous system; therefore, new methods of drug delivery are needed. Nanotechnology-based drug delivery systems (NTDDS) are widely studied as a potential …

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Development Of An Active Crosslinked Nanocomposite Film Based On Gelatin-Ethyl Cellulose, Trans-Cinnamaldehyde, And Silver Nanoparticles For The Preservation Of Sliced Meat, Elham Sarmast, Shiv Shankar, Stephane Salmieri, Sahra Amel Rahmouni, Monique Lacroix Jan 2026

Development Of An Active Crosslinked Nanocomposite Film Based On Gelatin-Ethyl Cellulose, Trans-Cinnamaldehyde, And Silver Nanoparticles For The Preservation Of Sliced Meat, Elham Sarmast, Shiv Shankar, Stephane Salmieri, Sahra Amel Rahmouni, Monique Lacroix

Research Outputs: 2025-Present

This study aimed to develop a novel bioactive biobased packaging film combining gelatin (G) and ethyl cellulose (EC), cardanol and glycerol as plasticizers, trans-cinnamaldehyde (TCA) as a crosslinker/bioactive compound, and silver nanoparticles (AgNPs) as bioactive agents. The degree of crosslinking, mechanical and thermal properties, water solubility (WS), and water vapor permeability (WVP) of the films were analyzed. Molecular interactions within the film matrix were determined by FTIR spectroscopy. The G-EC film, in a 1:2 weight ratio, exhibited improved physicochemical properties compared to the pure G film, with a low WS (7.8%). The incorporation of TCA and AgNPs—to form bioactive nanocomposite …

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Gender Differences In Mental Rotation And Visualisation Across Adolescence: Large Scale Evidence From The United States, Ireland, And Austria With Single-Paper Meta-Analyses, Jeffrey Buckley, Sheryl Sorby, Gavin Duffy, Günter Maresch, Jason Power Jan 2026

Gender Differences In Mental Rotation And Visualisation Across Adolescence: Large Scale Evidence From The United States, Ireland, And Austria With Single-Paper Meta-Analyses, Jeffrey Buckley, Sheryl Sorby, Gavin Duffy, Günter Maresch, Jason Power

Research Outputs: 2025-Present

Spatial ability has been identified as an essential cognitive ability for educational performance broadly in science, technology, engineering, and mathematics (STEM) education. Further, children with higher levels of this ability are more likely to choose STEM educational pathways. It is theorised that a benefit of spatial ability lies in affording young people further capacity to think and reason effectively in diverse problem-solving contexts, which translates into desirable educational outcomes. However, substantial evidence has identified a gender gap favouring boys particularly in the mental rotation spatial factor, and there is less evidence for any similar gender gaps for other spatial factors, …

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Diffusion-Enhanced Nat-Bart Vision Language Transformer For Unified Urdu Word Recognition, Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf Jan 2026

Diffusion-Enhanced Nat-Bart Vision Language Transformer For Unified Urdu Word Recognition, Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf

Research Outputs: 2025-Present

Handwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text recognition much harder than for many other languages. Here we propose a novel and effective approach for handwritten Urdu word recognition that addresses both data scarcity and feature complexity. We utilized conditional diffusion models to generate synthetic handwritten Urdu word images. These models produce realistic word samples covering a wide range of variations, such as stroke thickness, curves, and …

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Decision Support Impact And Error Prediction In Control Room: A Behavioural Data Analysis, Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Anders L. Madsen, Maria Chiara Leva Jan 2026

Decision Support Impact And Error Prediction In Control Room: A Behavioural Data Analysis, Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Anders L. Madsen, Maria Chiara Leva

Research Outputs: 2025-Present

Data from psychophysiological measures can offer new insight into control room operators’ behaviour, cognition, and mental workload status. This is particularly helpful when assessing capacity to respond to critical plant conditions such as alarm response scenarios. However, wearable tools such as eye tracking and electroencephalography caps can be perceived as intrusive and unsuitable for daily operations. Therefore, this article examines the potential of using real-time data from process and operator-system interactions during abnormal scenarios, recorded and retrieved from the distributed control system’s historian or process log, to provide insight into operator behaviour and predict their response outcomes without intruding on …

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Valorisation Of Barley Straw For Sustainable Nanocellulose Production Via Subcritical Alkaline Hydrolysis And Hdes-Assisted Processing, Dileswar Pradhan, Swarna Jaiswal, Brijesh K. Tiwari, Amit K. Jaiswal Jan 2026

Valorisation Of Barley Straw For Sustainable Nanocellulose Production Via Subcritical Alkaline Hydrolysis And Hdes-Assisted Processing, Dileswar Pradhan, Swarna Jaiswal, Brijesh K. Tiwari, Amit K. Jaiswal

Research Outputs: 2025-Present

This study investigates a sustainable and efficient approach to valorising barley straw by producing nanocellulose via an integrated subcritical alkaline hydrolysis and HDES-assisted processing pathway. Subcritical alkaline pretreatment under best processing conditions (150 bar, 200 °C, 125 min) enabled effective biomass fractionation, achieving average hemicellulose and lignin solubilisation of 57.72% and 82.69%, respectively. Subsequent purification of the pretreated solid fraction yielded cellulose fibres with an average cellulose yield of 41.97% and a purity of 87.87%. Nanocellulose was then obtained using a sequential HDES treatment followed by high-intensity ultrasound (HIUS), producing a sample (NC-BTW-3) in which 66% of particles exhibited diameters …

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Characterization Of Nutritional And Flavor Profiles Of Aromatic Black Rice, India, Babli Waribam, Raju Sasikumar, T. Selva Kumar, Phani Kumar Garlapati, Sandeep Janghu, S. Chakkaravarthi, Paul Mansingh, Vidisha Tomer, Amit K. Jaiswal Jan 2026

Characterization Of Nutritional And Flavor Profiles Of Aromatic Black Rice, India, Babli Waribam, Raju Sasikumar, T. Selva Kumar, Phani Kumar Garlapati, Sandeep Janghu, S. Chakkaravarthi, Paul Mansingh, Vidisha Tomer, Amit K. Jaiswal

Research Outputs: 2025-Present

Chakhao is an indigenous aromatic black rice variety from Manipur, India, valued for its distinctive flavor, high anthocyanin content, and associated health benefits. Despite its geographical indication status, limited information exists on how regional cultivation conditions influence its compositional attributes. This study characterizes and compares the nutritional composition, mineral content, volatile profile, and fatty acid methyl esters (FAMEs) composition of Chakhao sourced from five major cultivation regions in Manipur. Proximate analysis quantified moisture, protein, ash, fiber, fat, and carbohydrate content, whereas GC-MS/MS and ICP-MS were employed to profile volatile compounds, FAMEs, and mineral elements. Carbohydrates were the predominant macronutrient (73.88%–74.21%), …

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Multifunctional Nanomaterials Coupled With Ai-Based Optimization For Advanced Wastewater Treatment, Ananya Tiwari, Isha Dharsandia, Shreedhar Tiwari, Gajendra Singh Vishwakarma, Budhi Sagar Tiwari, Narendra Kumar, Amit K. Jaiswal Jan 2026

Multifunctional Nanomaterials Coupled With Ai-Based Optimization For Advanced Wastewater Treatment, Ananya Tiwari, Isha Dharsandia, Shreedhar Tiwari, Gajendra Singh Vishwakarma, Budhi Sagar Tiwari, Narendra Kumar, Amit K. Jaiswal

Research Outputs: 2025-Present

Conventional wastewater treatment performs reliably against routine contaminants but remains inconsistent for complex industrial effluents and for emerging pollutants such as pharmaceutical residues, per- and polyfluoroalkyl substances and micro/nano plastics. Engineered nanomaterials and artificial intelligence (AI)/machine learning (ML) have each been reviewed extensively, but predominantly in isolation. The present review is distinguished from existing reviews in three specific respects. First, the nanomaterial-AI interface is treated as the unit of analysis rather than the two fields being surveyed in parallel: AI-guided material selection, dosing and pH control, membrane fouling prediction, nano sensor-assisted monitoring and regeneration scheduling are examined together. Second, evidence …

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Transient Nanomaterials And Stimuli-Driven Transformation Pathways For Clean Energy Applications And Environmental Remediation, Mrinal, Navya Vikraman Nair, Lovepreet Singh, Harshita Jain, Krishna Kumar Jaiswal, Amit K. Jaiswal Jan 2026

Transient Nanomaterials And Stimuli-Driven Transformation Pathways For Clean Energy Applications And Environmental Remediation, Mrinal, Navya Vikraman Nair, Lovepreet Singh, Harshita Jain, Krishna Kumar Jaiswal, Amit K. Jaiswal

Research Outputs: 2025-Present

The growing use of nanomaterials in clean energy and remediation has led to unintended consequences, including long-term persistence, secondary contamination, and accumulation in the natural environment. Traditional materials design has focused on stability and durability, but those qualities could be liabilities if materials outlive their intended purpose. This study suggests using transient nanomaterials as a design paradigm, in which materials are engineered to perform optimally for a specific period of time and then undergo controlled transformation, deactivation, or disappearance. The review focuses on the conceptualization of transient nanomaterials and how they may be distinguished from degradable, recyclable, and stimuli-responsive materials. …

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Assessment Of Allergenic Potential For Cross‐Reactivity Of Olive (Olea Europaea) Pit Xylo‐Oligosaccharide‐Rich Extract With Legislated Allergens In The European Union, Maame Ekua Manful, Joseph O'Shea, Antía Torres, Paz Otero, Catherine Barry-Ryan Jan 2026

Assessment Of Allergenic Potential For Cross‐Reactivity Of Olive (Olea Europaea) Pit Xylo‐Oligosaccharide‐Rich Extract With Legislated Allergens In The European Union, Maame Ekua Manful, Joseph O'Shea, Antía Torres, Paz Otero, Catherine Barry-Ryan

Research Outputs: 2025-Present

Novel food sources must undergo allergenicity assessments to ensure consumer safety and regulatory compliance. Xylo-oligosaccharide-rich extract (XOS) derived from the valorization of olive (Olea europaea) pit is categorized as a novel food in the context of European Union (EU) food laws. Despite the functional benefits of xylo-oligosaccharides such as prebiotic, gut modulation, and weight management being a well-established area, there is a lack of information on the allergenic potential of olive pit-derived XOS extract. The study aimed to evaluate the cross-reactivity of olive pit-derived XOS extract with other allergens through both in vitro and in silico approaches. In vitro cross-reactivity …

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Agriculture Contributions To Water Pollution And Sustainable Policy Solutions In Europe, Jemma Nolan, Azza Silotry Naik Jan 2026

Agriculture Contributions To Water Pollution And Sustainable Policy Solutions In Europe, Jemma Nolan, Azza Silotry Naik

Research Outputs: 2025-Present

Freshwater is essential for sustaining the health of humans, animals, and ecosystems; however, agricultural activities remain a major source of water pollution globally. This review examines how crop production, livestock farming, and aquaculture contribute to water contamination, the effectiveness of current European policies, and the potential of sustainable mitigation strategies. Evidence from the research identified pesticides, herbicides, veterinary antibiotics, nutrient runoff, aquaculture effluents, and microplastics as the primary agricultural pollutants affecting surface and groundwater quality. These contaminants have been linked to ecosystem degradation, biodiversity loss, endocrine disruption, antimicrobial resistance, and adverse human health outcomes. Despite extensive regulatory frameworks, including the …

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Crisis Planning Intentions Among Hotel Managers: What Have We Learned From The Covid-19 Pandemic?, Feliani Tjong, Edmund Goh, Violetta Wilk Jan 2026

Crisis Planning Intentions Among Hotel Managers: What Have We Learned From The Covid-19 Pandemic?, Feliani Tjong, Edmund Goh, Violetta Wilk

Research outputs 2022 to 2026

This study investigates the motivational factors which influence future crisis planning intentions, by utilising the Theory of Planned Behaviour (TPB) as the underlying theoretical framework. This research focuses on understanding the attitudes, subjective norms, and perceived behavioural control of hotel managers’ intentions regarding future crisis planning. To enhance the TPB model, the study incorporates two additional variables: perceived risk and past behaviour, thereby addressing previous calls to extend the TPB model. Employing a qualitative methodology, semi-structured interviews (n = 21) were conducted with hotel managers who worked at government-appointed quarantine hotels in Australia during the COVID-19 pandemic. Thematic analysis was …

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Hexahive: Simulating Vulnerability Bounty Economies Through Game-Theoretic Models, Lucille Blain Jan 2026

Hexahive: Simulating Vulnerability Bounty Economies Through Game-Theoretic Models, Lucille Blain

Theses

Bug bounty programs encourage security researchers to responsibly disclose software vulnerabilities by offering financial rewards, recognition, and opportunities to build long-term relationships with organizations. However, vulnerability discovery also creates competing incentives. A researcher may report a vulnerability through an official program, exploit it for passive income, trade information with other actors, delay disclosure, or seek compensation through alternative markets. These decisions are shaped by the expected value of rewards, perceived fairness of company responses, reputation benefits, competition, and the risk of penalties. Because directly observing these choices in real-world bug bounty programs presents ethical, legal, and practical challenges, controlled environments …

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Impact And Requirements Of Future Robots In The Urban Realm: Dubai Silicon Oasis Case Study, Abduljalil Abbasi Jan 2026

Impact And Requirements Of Future Robots In The Urban Realm: Dubai Silicon Oasis Case Study, Abduljalil Abbasi

Theses

Robots are moving from factories and warehouses into the streets, sidewalks, and shared public spaces of cities, and Dubai Silicon Oasis (DSO) is at the forefront of this shift in the Gulf region. Through the Talabat ‘talabot’ autonomous delivery pilot, DSO has demonstrated that sidewalk robots can operate reliably in a hot-climate, mixed-use urban district, but this operational success has outpaced the governance frameworks, spatial design standards, and long-range planning foundations needed to scale deployment safely, inclusively, and sustainably to 2035. This thesis addresses that gap by asking how DSO can design and govern the integration of robots into its …

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Leveraging Ai, Iot, And Predictive Analytics For Crisis Management And Urban Resilience In Dubai, Suhail Bin Kalli Jan 2026

Leveraging Ai, Iot, And Predictive Analytics For Crisis Management And Urban Resilience In Dubai, Suhail Bin Kalli

Theses

The thesis will discuss how smart technologies could be incorporated in the crisis management structures of Dubai to make the city more resilient. As Dubai grows more urbanized, it experiences increased problems with managing its crisis especially in the high population density places, traffic congestion, utility disruption, and extreme weather. This paper discusses how artificial intelligence (AI), the Internet of Things (IoT), and predictive analytics can be used to ameliorate the response to emergencies, manage the allocation of resources, and enhance the coordination between different agencies. The crisis management systems at Dubai are still ineffective despite the level of technologies …

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Optimizing Marketing Campaigns To Maximize The Response Rate For A Supermarket Using Machine Learning Techniques, Alia Almansoori Jan 2026

Optimizing Marketing Campaigns To Maximize The Response Rate For A Supermarket Using Machine Learning Techniques, Alia Almansoori

Theses

Supermarkets must improve their marketing tactics at a time of changing consumer behavior and increasing competition in the retail industry. Engaging the wide and sophisticated consumer base of today's supermarkets is difficult using traditional methods. This proposal presents a data-driven approach using cutting-edge machine learning methods to enhance supermarket marketing strategies. The main goal is to increase the response rate of marketing initiatives, which will improve consumer engagement and ultimately increase revenue. Additional primary objectives are customer segmentation and targeting, predictive modeling, personalization, ongoing performance monitoring, and ROI evaluation. The current problem centers around personalization and accuracy. Due to the …

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Predicting Student Academic Performance Using Behavioural And Parental Engagement Data From Learning Management Systems, Saeed Alfalasi Jan 2026

Predicting Student Academic Performance Using Behavioural And Parental Engagement Data From Learning Management Systems, Saeed Alfalasi

Theses

This paper explores how behavioral, academic, and parental engagement data provided within the xAPI-Edu-Data dataset can be used to predict the academic performance of students when training on machine learning models with supervised learning. Due to the developing demands of the data-driven initial selection of the learners under risk, the study will create a valid and explainable predictive model that can consider the most significant factors of student success in Learning Management System (LMS). The research is based on behavioral engagement and self-regulation learning theories; the observations included in the analysis of student interaction, i.e. resource usage, classroom engagement and …

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Cochlear Micropump Drug Delivery System: A Noninvasive Technique For Murine Intracochlear Drug Delivery, Janette Collins Jan 2026

Cochlear Micropump Drug Delivery System: A Noninvasive Technique For Murine Intracochlear Drug Delivery, Janette Collins

Theses

In a 2018 World Health Organization (WHO) study, over 400 million people worldwide were affected by hearing loss (World Health Organization, 2023). Cochlear implants have provided a conventional route to aid inner ear issues but are ineffective either delivering to unintended targets or delivering unknown concentrations of a particular drug and create toxicity to the user. With medical advances and using 3-D printing technology, new opportunities to use programmable drug delivery systems to treat auditory disorders have been created. Borkholder Labs in Rochester, NY have created and improved a miniaturized implantable and scalable peristaltic micropump that provides programmable and accurate …

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Predicting Undergraduate Fallout And Success, Ammar Ahmed Alzarooni Jan 2026

Predicting Undergraduate Fallout And Success, Ammar Ahmed Alzarooni

Theses

Universities need to uncover students who are likely to drop out early and do something about it. It should be easy to find and use this information. This thesis evaluated interpretable machine-learning models (MLMs) for predicting three final student outcomes including Dropout, Enrolled and Graduate, using solely demographic, administrative/financial and first-semester academic variables. Study employed publicly accessible Portuguese UCI student retention dataset (4,424 records) and incorporated end-of-Semester-1 feature window to prevent look-ahead leakage and align with actual advising cycles. We trained and compared models using stratified validation, explicit class-imbalance handling and decision-threshold optimization to make dropout detection most critical factor. …

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Leveraging Open-Source Llms For Infrastructure Drift Detection And Correction, Kemoy S. Campbell Jan 2026

Leveraging Open-Source Llms For Infrastructure Drift Detection And Correction, Kemoy S. Campbell

Theses

Infrastructure as Code (IaC) enables organizations to provision and manage infrastructure at scale using version-controlled, declarative specifications. Despite these advantages, infrastructure drift where deployed resources diverge from their intended configuration remains a persistent operational challenge and is often addressed manually and reactively. Recent advances in Large Language Models (LLMs) have accelerated their adoption within software engineering and DevOps workflows; however, the sensitive nature of IaC artifacts, particularly Terraform state files, has limited organizational willingness to rely on public LLM services for drift detection and remediation. This thesis investigates the feasibility of using open-source, self-hosted LLMs to assist with IaC drift …

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Enhancing Json Schema Inference Via Semantic And Structural Modeling Of Heterogeneous Data, Justin R. Namba Jan 2026

Enhancing Json Schema Inference Via Semantic And Structural Modeling Of Heterogeneous Data, Justin R. Namba

Theses

Schema discovery is finding the structure of data. It helps users understand the meaning of data and write queries to manipulate it. This is typically easy for relational databases, but complex for non-relational (NoSQL) databases with documents. For relational databases, the schema is predefined because the data they contain is structured, but for NoSQL databases, data is usually unstructured or semi-structured. Here, we focus on a type of semi-structured data called JSON, which is a collection of documents that consists of nested key-value pairs. A JSON key and value are similar to a column name and its associated data instance …

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Statistical Optimization And Anfis Modeling Of Process And Heat Treatment Effects In Gmaw-Waam 316l Stainless Steel, Joel Sam John Jan 2026

Statistical Optimization And Anfis Modeling Of Process And Heat Treatment Effects In Gmaw-Waam 316l Stainless Steel, Joel Sam John

Theses

Additive manufacturing has evolved from the concept of merely rapid prototyping tools to that of a viable technology capable of manufacturing industrial grade parts and components. As a result, the use of metal additive manufacturing techniques has expanded in recent years, fueled by the rapid growth of manufacturing sectors amidst the 4.0 industrial revolution. Within the metal-AM domain, the concept of gas metal arc welding – wire arc additive manufacturing (GMAW-WAAM) has gained increasing traction due to its low operational costs, high deposition rates, and its ability for large scale manufacturing.  The demand of stainless-steel parts has increased owing to …

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