Digital Commons Network^™

European Air Pollution And The Proposed Timelines Of Implementing The World Health Organization 2021 Air Quality Guidelines Ca3., Lukia Hartin

ICT

This research examines Ireland’s air pollution trends and evaluates whether current reductions in PM2.5, PM10, and NO₂ are sufficient to meet the WHO 2021 Air Quality Guidelines by 2040. Using four years of EPA-validated pollutant data (2020–2023), alongside Building Energy Rating (BER) and national transport datasets, the study applies the CRISP-DM methodology to guide analysis, preprocessing, modelling, and evaluation. Extensive data cleaning and alignment were required due to inconsistent station coverage, varying formats, and missing values. Forecasting models—including Random Forest, Gradient Boosting, SVR, and linear regression—were assessed using MSE, R², and trend significance to project pollutant levels across different Irish …

Things Goin’ On: Hierarchical Order, Olivia Rachel Austin

Electronic Theses and Dissertations

Things Goin' On: Hierarchical Order is a series of mixed media works examining power dynamics and structured relationships within human life. This body of work explores social class, gender roles, and systemic power structures through a combination of found textiles, altered objects, and diverse rendering techniques. Each piece investigates how individuals are positioned within broader social and natural systems. The works collectively encourage reflection on the universal and historical role of power dynamics in shaping human experiences and interactions.

“Ojala Que Llueva: Free Trade's Ripple Effect On Rice Farming In El Cibao, Dominican Republic", Arismendis Altagracia

Electronic Theses and Dissertations

Globalization has had a tremendous effect on agricultural communities. This study aims to understand Dominican rice farmers' methods of production, their impact on the Dominican economy, and the public health of those involved in production. Some concerns are how mass rice production affects the environment, public health, and the state's economy. The rice industry in the Dominican Republic is one of the most essential sectors due to its cultural and dietary significance. Rice contributes a substantial amount to the diet of Dominicans; its production process and nutritional profile is associated with health problems that burden an already strained public health …

Analysis Of The Patterns And Features Importance In Predicting Demand For Sustainable Urban Mobility. A Comparative Analysis Of Machine Learning Models Using The Dublin Bikes Dataset., Wojciech Sochanski

ICT

This study explores the application of machine learning models to predict demand in the Dublin bike-sharing scheme. A comprehensive literature review examines prior work on sustainable urban mobility, the evolution of bike-sharing schemes, the application of machine learning in predictive analytics and relevant case studies. Secondary data were gathered from publicly available sources, pre-processed and merged into a single, unified dataset. Exploratory data analysis was conducted before preparing the data for modelling to assess the data quality, with a focus on missing values.

Four predictive machine learning models – Linear Regression (LR), Decision Tree (CART), Random Forest (RF) and Gradient …

Conversion Of Orange Waste To Chemically Modified Activated Carbon Adsorbent Materials For Aqueous Phase Phosphate Removal, Sierra Mugan

Electronic Theses and Dissertations

Phosphorus pollution in surface waters drives harmful algal blooms, creating ecological, public health, and economic risks. This study examined citrus processing waste as a sustainable, low-cost precursor for producing chemically modified adsorbents for phosphorus removal. Orange waste was pyrolyzed, resulting in a carbon-rich material with low ash content, as confirmed by thermogravimetric analysis. The material was modified using lanthanum chloride, iron (III) chloride, and calcium chloride at varying mass ratios and screened under standard conditions (1 mg P/L, 1 g/L dosage, 24-hour contact time). Lanthanum- and iron-modified samples demonstrated the best removal efficiencies and underwent further evaluation. The lanthanum-modified sample …

Importance Of Social Support: Buffer To Social Identity Threat In Institutions, Kaylah J. Scott

Electronic Theses and Dissertations

Due to the minority status non-white students face in higher education, they are susceptible to social identity threat (Steele & Aronson, 1996), which may lead to psychological distress. However, social support, particularly from in-groups, offsets related distress consequences, e.g., self-esteem, anxiety, and depression (Haslam et al., 2021). This study investigates social support, through collective racial socialization, as a buffer for social identity threats to minority college students. I investigated Hispanics and Black undergraduates' self-esteem, using the Rosenberg Self-Esteem Scale (Rosenberg, 1979), before and after stereotype threat, with participants in minority-centered organizations as the moderator. Results revealed that there was a …

Competent Readers’ Online Multimodal Reading Strategies Use, Hyoju Ahn

Faculty Articles, Papers, and Other Scholarship

As reading spaces evolve, it is imperative to identify and describe the strategies and skills used in constructing meaning. I examined online multimodal reading strategies, those used in constructing meaning from multimodal information sources (e.g., images, audio, written words) on the Internet. Participants read online multimodal texts from a laptop screen and provided verbal reports as they read to learn a scientific topic. Through verbal protocol analysis, I cataloged and described their multimodal reading comprehension strategies. Complementing retrospective interviews, reader-computer interaction videos, and written pre- and post-knowledge reports accounted for how they read strategically. Strategies were coded to provide insights …

Machine Learning Applications In Epigenomics And Its Association With Health And Disease, Trevor Doherty

Doctoral

Epigenetic modifications can lead to altered phenotypes without a change in the DNA sequence itself. Disrupted gene expression regulated by epigenetic processes can result in cancers, autoimmune diseases and various other maladies. Machine learning (ML) involves the use of algorithms and models which are trained to learn patterns in data, and has demonstrated remarkable success in solving diverse, complex challenges. Epigenomic studies, such as those that use DNA methylation (DNAm) data, increasingly make use of ML techniques to process extremely high dimensional data obtained from high throughput platforms e.g., DNAm arrays. These datasets suffer from the curse of dimensionality, increased …

Arginine-Modified Surface Coffee Grounds Activated Carbon For Pb2+ Adsorption: Kinetic, Isotherm And Thermodynamic Studies, Jarawee Chupirom, Sirikorn Khaophong, Nopporn Hemyakorn, Sonchai Intachai, Panita Kongsune

Journal of Metals, Materials and Minerals

This research focuses on enhancing the value of coffee waste by converting it into activated carbon for removing Pb²⁺ ions from contaminated water. Coffee grounds were activated with KOH and carbonized at 600°C for 4 h to produce activated carbon (CGAC), then modified with arginine via hydrothermal treatment at 120°C for 48 h to create Arg-CGAC. The adsorbents' chemical and physical properties were analyzed using SEM, FT-IR, BET, and pHpzc methods. Batch experiments revealed that Arg-CGAC exhibited superior Pb2+ adsorption (223.10 mg∙g‒1) compared to CGAC (119.23 mg∙g‒1) under optimal conditions. Isotherm analysis showed stronger adsorbate-adsorbent interactions and a more endothermic …

Structural And Dynamic Analysis Of Tapered Mast Bladeless Wind Turbines Using Fea And Cfd For Renewable Energy Generation, A. Pradeep, Raman Kumar, P. S. Satheesh Kumar, Nagaraj Patil, Vijayakumar Sivasundar, P. Vijaya Kumar, Selvaraj Manickam, Debasish Shit

Journal of Metals, Materials and Minerals

The present analysis investigates the possibility of using a tapered mast profile for bladeless wind turbines (BWTs) to enhance the function of extracting wind energy through the phenomenon of vortex-induced vibrations. Conventional HAWTs which remain the most efficient are however, costly in maintenance, mechanically complicated and rather unfavourable to the environment. To overcome these challenges a prototype BWT with a 0.6 m tapered mast was developed for the currents using mild steel and hollow square steel sections. Wind tunnels were also used to compare stress distribution, structural deformation and vane vortex shedding for the building at different wind speeds. The …

Low-Cost High Performance Sustainable Triboelectric Nanogenerator Based On Laboratory Waste, Archana Panda, Kunal Kumar Das, Kushal Ruthvik Kaja, Venkataramana Gandi, Sunit Gourav Mohanty, Basanta Kumar Panigrahi

Journal of Metals, Materials and Minerals

The production of waste materials in laboratories is an unavoidable consequence of diverse experiments and activities. These materials can range from chemicals, solvents, and biological samples to electronic components, glassware, and plastics. Typically, this waste is classified into hazardous and non-hazardous categories, requiring careful disposal to avoid environmental and health risks. These can be repurposed for energy harvesting methods, such as using polymers in triboelectric nanogenerators (TENGs) or recycling metallic waste for electrodes. This approach reduces waste while advancing sustainable energy solutions. This technique demonstrates remarkable efficiency in utilizing diverse waste materials to transform various forms of mechanical energy into …

Tin Oxide Nanoparticle Extraction From Waste Solder Dross Via Low-Temperature Hydrometallurgical Process, Tanongsak Yingnakorn, Sirunya Somla, Thanapon Chandakhiaw, Ethan Cheung, Sakhob Khumkoa

Journal of Metals, Materials and Minerals

This study proposes a hydrometallurgical approach to valorising industrial waste by producing SnO2 nanoparticles (NPs) from waste solder dross obtained by skimming off of tin solder baths from electronic dipping processes. The process involves leaching the dross with aqueous hydrochloric acid solution and hydrogen peroxide, followed by precipitation with ammonium hydroxide and purification with aqueous nitric acid solution. The optimised leaching conditions were determined to be 4 mol∙ L‒1 HCl, 11% v/v H2O2, 25℃, and a leaching time of 15 min. SnO2 NPs were successfully precipitated at pH 4 using 25% v/v NH4OH and purified with 1 mol∙ L‒1 HNO3. …

Synergistic Effects Of Co-Ni Nanoalloys On Sio2@Tio2: A Novel Approach To Photocatalytic Tetracycline Degradation, Pratyush Kumar Sahu, Alaka Rath, Aslisha Champati, Ashish Madual, Pravat Manjari Mishra, Abanti Pradhan, Brundabana Naik

Journal of Metals, Materials and Minerals

To develop a cost-effective alternative to noble metal catalysts for photocatalysis, we synthesized a series of bimetallic Co-Ni nanoalloys on core-shelled SiO2@TiO2 nanostructures via a chemical reduction approach. The research demonstrates the photocatalytic behaviour of the Co-Ni alloy-enhanced SiO2@TiO2 (ST-Co, Ni) hybrid nanocatalyst, focusing on its crystalline structures, morphological shapes, chemical conditions, and optical properties, utilizing techniques such as X-ray diffraction, field emission scanning electron microscopy, UV-visible diffuse reflectance spectroscopy, photoluminescence spectroscopy, transmission electron microscope, and electrochemical analysis. The catalyst was evaluated for its effectiveness in degrading tetracycline, an overused antibiotic that persists in aquatic environments and is known for …

Graphitic Carbon Nitride Loaded Bi4o5i2 For Elevated Photocatalytic Tetracycline Degradation, Subhasish Mishra, Barsha Marandi, Kali Sanjay, Rashmi Acharya

Journal of Metals, Materials and Minerals

As a robust photocatalyst, Bi4O5I2 have has attracted significant scientific interest owing to its narrow bandgap energy, escalated electronic properties and high stability. Nonetheless, the unfavourable band structure and higher recombination of excitons have restricted its diversified photocatalytic applications. In this context, binary heterojunction construction using Bi4O5I2 could be considered an effective strategy for spatial charge carrier separation across the hetero-interface, leading to an enhanced activity. In this study, we have prepared Bi4O5I2/g-C3N4 Z-scheme hetero-structures via a wet impregnation strategy that preserves the spherical structure of Bi4O5I2. The phase purity, chemical bonding, morphology and microstructure of the composite were confirmed …

Solar Radiation Assisted Photocatalytic Degradation Of Congo Red Using Ce Doped Lacoo3, Rishabh Kamal, Rasmirekha Pattanaik, Debapriya Pradhan, Suresh Kumar Dash

Journal of Metals, Materials and Minerals

A viable sol-gel synthesis technique was used to synthesize LaCoO3 and Ce doped LaCoO3 for degradation of congo red dye taking a renewable source of light i.e solar radiation. The crystalline structure, morphology, and optical properties of the synthesized catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) analysis of Ce-doped LaCoO₃ confirmed the presence of La (3d), Ce (3d), Co (2p), C (1s), and O (1s) and their valence states in the perovskite matrix, Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and ultraviolet diffuse reflectance spectroscopy (UV-DRS). The XRD analysis with a prominent diffraction peak detected …

The Effect Of Pt And Pd Decoration On Sno2 Slant Nanorods Fabricated Using Dc Magnetron Sputtering With Oad Technique For Co Gas Sensing Applications, Nampueng Pangpaiboon, Thitiporn Kaewyou, Sethavut Duangchan, Kata Jaruwongrungsee, Manatsawee Srirak, Tossaporn Lertvanithphol, Viyapol Patthanasettakul, Tawee Pogfay, Mati Horprathum, Saksorn Limwichean

Journal of Metals, Materials and Minerals

This research investigates the effect of Pt and Pd decoration on the structure of SnO2 slant nanorods (SNRs) films produced using DC magnetron sputtering with Oblique Angle Deposition (OAD), as well as their impact on the films' physical properties and gas sensing applications. Pt and Pd were deposited onto the SnO2 SNRs for the same duration of 20 s each. Following deposition, all the films were heat-treated temperature at 400℃ for 2 h. The characterization of both as-deposited and annealed films involved analyzing the physical morphology using FE-SEM and the crystal structure using GI-XRD. It was observed that the structure …

Microwave Absorption Properties Of Porous Activated Carbon/Nickel Oxide Composites Derived From Coconut Husks, Mohamad Zul Aqiman Shukeri, Nor Zakiah Yahaya, Ezzan Afifah Zainuddin, Nazri Mahmud, Liyana Zahid, Hasliza A. Rahim

Journal of Metals, Materials and Minerals

Porous Activated Carbon (AC) is a promising material for microwave absorbing materials, showing potential in communication and modern warfare. The study explores the process of creating porous AC from coconut husks using hydrochloric acid and carbonization at varying temperatures, followed by doping AC with nickel oxide to create an AC/NiO polymer composite with varying thicknesses. These composites are compared to AC composites loaded in a paraffin matrix. The dielectric and microwave (MW) properties of the AC/NiO and AC polymer composites at various thicknesses were analyzed using a Performance (PNA)-X Network Analyzer. The study also examines the carbon content and porosity …

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 …