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Subsurface temperature uncertainty represents a major risk in geothermal drilling, particularly in volcanic systems where permeability, lithology, and fluid circulation create highly heterogeneous thermal regimes. This s...

Background: Climate change increasingly shapes development outcomes, necessitating its integration into evaluation processes. In Africa, recurrent droughts, floods and temperature extremes disrupt progress across sector...

Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...

Abstract Background Surgical site infections (SSIs) continue to exert a substantial burden on healthcare systems, particularly in resource-limited settings where they contribute to prolonged hospitalizations, escalated c...

Abstract Microrobotic systems offer significant potential for precision medicine by enabling minimally invasive interventions in complex fluidic environments. However, effective operation in these settings requires actua...

Abstract Unmanned Aerial Systems (UAS) have become increasingly integral to industries such as agriculture, surveillance, transportation, and entertainment, raising significant concerns about their vulnerability to cyber...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

Technological-based early warning systems (EWS) in rural Indonesia have shown limited long-term adoption because centralised, top-down mechanisms fail to incorporate the contextual triggers trusted by local communities, ...

In environmental management, developing a scientific and methodological approach to the design and optimization of technological systems remains a pressing issue. The proposed approach is based on the integration of onto...

BackgroundGlobal population aging is accelerating, and China faces a significant challenge with “aging before affluent.” The disabled older adults population in China is projected to reach 58 million by 2050. Early i...

The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even i...

Knee-related conditions, such as anterior cruciate ligament injuries and meniscal ruptures, significantly affect mobility and quality of life. Although range-of-motion exercises are important for rehabilitation, interpre...

IntroductionThe COVID-19 pandemic has reduced system resilience, caused economic welfare loss, and widened disparities in healthcare access. This study aims to identify the macro-level factors contributing to COVID-19 va...

This research introduces a hybrid modeling framework that combines intricate combustion dynamics with machine learning (ML) to facilitate the decarbonization and retrofitting of traditional diesel engines utilizing Hydro...

Foodborne pathogen outbreaks impose a substantial and escalating burden on global public health, food systems, and economies, with the World Health Organization estimating over 600 million illness episodes and 420,000 de...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

This paper presents an innovative methodology for modeling and predicting high-frequency harmonic losses in the rotating field of an electrical machine powered by a frequency converter. Conventional approaches are often ...

German transmission system operators received around 400 GW of battery storage connection requests in 2024, an enormous increase from the current 2.3 GW installed capacity. However, uncertainty remains regarding the impa...

Abstract Background Understanding how the respiratory microbiota matures with age is key to improving poultry health and pathogen surveillance, yet the ecological processes shaping this transition remain elusive. We aime...

Advances in Artificial Intelligence (AI), particularly through Machine Learning (ML) and Deep Learning (DL), have enabled innovative solutions in industries including automotive, healthcare, and transportation. These tec...

Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...

Abstract Breast cancer is still the most significant contributor to morbidity and mortality among women in China. Despite advances in imaging and molecular testing, few reliable biomarkers exist for early detection and d...

This study integrates geochemical, statistical, and machine learning methods to investigate hydrothermal systems and mineralization processes within southern Georgia's Bektakari–Bnelikhevi ore knot. A total of 212 geoc...

Family farming systems are widespread in tropical cocoa production, supporting rural livelihoods while providing ecosystem services such as carbon storage and soil protection. However, farm structure and crop diversity a...