University of Business and Technology

Lite-BiAttn: A Lightweight CNN-BiLSTM Attention Model for Accurate Solar Radiation Forecasting

Reliable short-term prediction of global horizontal irradiance (GHI) is essential for maximizing photovoltaic (PV) power generation, improving grid reliability, and enabling efficient integration of renewable energy sources. This study proposes Lite-BiAttn, a lightweight hybrid d...

A compact and component-optimized 13-level switched-capacitor multilevel inverter with high efficiency

Switched-Capacitor Multilevel Inverters (SCMLIs) provide a viable pathway to achieving high-quality voltage synthesis with reduced reliance on magnetic components; however, existing 13-level implementations typically require a high number of switching devices and exhibit elevated...

The Effect of Earnings Management on Environmental, Social, and Governance ( ESG ) Performance in the MENAT Region: The Moderating Role of Corporate Governance

ABSTRACT This study investigates how earnings management (EM) influences ESG performance and whether corporate governance mechanisms shape this relationship. Drawing on agency and stakeholder perspectives, the study examines how managerial incentives and governance effectiveness...

Overcoming the Energy–Health Trade-Off in Smart Buildings: AI-Driven Dynamic Thresholding for Sustainable HVAC (Heating, Ventilation, and Air Conditioning) Actuation and Multi-Pollutant Management

Modern smart buildings face the challenge of balancing energy-saving requirements with strict indoor air quality regulations. The aim of this research is to develop an intelligent, energy-efficient, and robust multi-pollutant forecasting and control framework that integrates hybr...

Hydrocarbon Contamination Contributes to Increases in Soil Organic Carbon: Impacts on Risk Assessments of Contaminated Land in the UK

In the UK, contaminated land risk assessments using the Contaminated Land Exposure Assessment (CLEA) model rely on soil organic matter (SOM) values to determine acceptable thresholds for contamination caused by anthropogenic pollution for human health. Soil organic carbon (SOC),...

PLGA-loaded puerarin attenuates arsenic-induced liver injury through modulation of ferroptosis, oxidative stress, inflammation, and apoptotic signaling

Arsenic (AR) is an environmental and mining occupational toxicant with reported hepatotoxic effects. Ferroptosis has recently emerged as a critical mechanism involved in arsenic-induced hepatotoxicity. This study investigated the hepatoprotective effects of puerarin (PU) and its...

A Spectral Tau Algorithm Using Shifted Convolved Fibonacci Polynomials for Singular Functional Models

In this paper, for some second-order singular functional differential equations (SOSFDEs), a tau-type spectral technique is built using non-origin-symmetric polynomials called shifted convolved Fibonacci polynomials as the approximation basis. Derivative formulae, integral identi...

Digital Twins in the Architectural Design Stage for Sustainable Net-Zero Buildings: A Systematic Review of Frameworks, Tools and Research Gaps

Early architectural decisions shape building energy demand and life cycle carbon, yet digital support remains fragmented across modelling, simulation and performance workflows. This systematic review examines how digital twin (DT) frameworks, tools and workflows are applied at th...

Rethinking Post-Disaster Shelters: An Integrated LCA of Environmental, Techno-Economic and Resilience Across Three Modern Methods of Construction

The increasing frequency and severity of natural and human-induced disasters are intensifying the need for post-disaster shelters that can be rapidly deployed while delivering low environmental impact, affordability and acceptable occupant comfort. Modern Methods of Construction...

AI-Based Optimization for Biofuel Production: Strategies for Utilizing Degraded Land for Climate Change Mitigation, Green Finance Mobilization, and Achieving United Nations Sustainable Development Goals

Global land degradation affects approximately 2 billion hectares, threatening food security, biodiversity, and climate stability while undermining the United Nations Sustainable Development Goals (SDGs). The concurrent urgency to decarbonize the energy system and mobilize green f...

AI ‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare

ABSTRACT This paper explores an AI‐assisted resource scheduling and cooperative learning model in a space–air–ground combined network (SAGIN) to possess ultra‐reliable low‐latency Internet of Medical Things (IoMT) applications. The generated healthcare data by the IoMT devices ar...

MSSARN - multi-layer spectral-spatial attention based residual network for HSI classification

Abstract Hyperspectral imaging (HSI) presents several challenges in remote sensing, particularly in classification tasks. One significant challenge is the high dimensionality of HSI data, which includes hundreds of spectral bands. Another challenge is the spectral-spaatial comple...

Decoding organic food choices: exploring brand identification, credibility, ambiguity tolerance in shaping consumer attitudes and intentions using SEM and fsQCA

Purpose This study examines the influence of consumers' brand image identification, credibility towards organic food brands and ambiguity tolerance on the attitude-intention link, grounded in the stimulus-organism-response (S-O-R) framework. It also explores the mediating role of...

Predicting the Unwelcome Return: Insights From a Cohort of Postoperative Haemorrhoid Patients

AIM: Recurrence after haemorrhoid surgery is a clinical concern, but the factors associated with recurrence have not yet been fully elucidated. In particular, the effects of external haemorrhoids and postoperative complications on long-term outcomes have not been clearly defined....

Do elite soccer players meet nutritional requirements? A scoping review and meta-analysis

This scoping review and meta-analysis synthesised current evidence on energy and macronutrient intake and energy expenditure in elite male and female soccer players. Despite established nutritional guidelines, concerns persist regarding chronic low energy availability and its imp...

Information Flow and Logistics Coordination Challenges in Saudi Arabian Construction Projects: A SCOR-Based Qualitative Investigation

Background: This study investigates information-flow and logistics coordination challenges in Saudi Arabian construction projects within the context of ongoing national infrastructure developments, severe climatic conditions, and evolving labor regulations. Methods: Utilizing the...

AI adoption intensity and sustainability performance through organizational change and environmental dynamism in Saudi Arabia manufacturing companies

As economies and societies continue to develop rapidly, businesses are now placing greater emphasis not only on financial performance but also on environmental and social performance. Therefore, there is increasing attention to how businesses can use artificial intelligence as a...

A Scale-Invariant Adaptive Test for IFR Alternatives Based on Cumulative Residual Entropy Under Proportional Hazards

Testing exponentiality against increasing failure rate alternatives is central to reliability theory and lifetime data analysis. This paper develops the Adaptive Cumulative Residual Entropy Test under Proportional Hazards (Adaptive CRE-PH Test), a scale-invariant nonparametric pr...

Workplace civility climate and its relationship with organizational citizenship behavior and intention to stay among nurses

Abstract Background A workplace civility climate is a critical factor in shaping healthy nursing work environments. It influences nurses’ organizational citizenship behavior (OCB) and intention to stay, yet evidence from many healthcare systems, including Egypt, remains limited....

Comparative analysis of automatic mask generation methods for agricultural seed instance segmentation

In agricultural image analysis, training deep learning models relies on large amounts of pixel-level labeled data. However, individually labeling densely stacked and overlapping objects, such as pea seeds, is both time-consuming and laborious. This study compares five automated m...