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Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...

Timely prediction of Intensive Care Unit (ICU) admission at hospital arrival is critical for clinical decision-making, resource allocation, and patient management, particularly during large-scale health crises such as th...

As a key element of human settlements and fundamental features in maps, buildings play a critical role in urban planning and environmental monitoring. Automatically extracting buildings from remote sensing images is of s...

Abstract Background To support countries’ promotion and scale-up of self-care, the World Health Organization (WHO) launched the Consolidated Guideline on Self-Care Interventions for Health: Sexual and Reproductive Hea...

Measurements from global navigation satellite system reflectometry (GNSS-R) have proven effective for applications in sea surface height (SSH). Deep learning-based methods for spaceborne GNSS-R SSH retrieval can effectiv...

Abstract BackgroundCardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions and systematically assesses cardiac anatomical structures and functional dynamics. Machine learning ...

The current study uses machine learning and explainable AI to predict Bedaquiline (BDQ) resistance in Mycobacterium tuberculosis clinical isolates and also predicts 15 new BDQ-resistant genes from whole-genome sequencing...

Abstract Background Musculoskeletal diseases, such as Juvenile Idiopathic Arthritis (JIA), can lead to altered joint mobility and changes in gait pattern. While marker-based motion capture systems are considered the gold...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Mycobacterium tuberculosis (M.tb.) infection leads to over 1.5 million deaths annually, despite widespread vaccination with BCG at birth. Causes for the ongoing tuberculosis endemic are complex and include the failure of...

Peatlands are major carbon stores that are sensitive to climate change and increasingly affected by human activity. Accurate assessment of carbon stocks and modelling of peatland responses to future climate scenarios req...

This study presents a novel, site-specific deployment of a Long Range Wide Area Network (LoRaWAN)-driven air pollution monitoring network specifically for the Iraqi city of Mosul, which is beset by widespread power outag...

During this time, the determination of the mine coordinates location done by the fieldman of PT. Kalimantan Earth Results was using a GPS locator. Found 27 points of coal mines and 18 coal ports spread across the souther...

Abstract Background Universal access to family planning (FP) services is essential for safeguarding sexual and reproductive health and rights. Integration of FP and routine maternal and child health (MCH) services has be...

With increasing impacts of climate change, vulnerable low-lying developing countries like Bangladesh have coastal zones that experience disproportionate loss and damage (L&D) that exceed the limits of local adaptation. T...

Abstract Background A growing body of research shows the promise and efficacy of technology‐based or digital interventions in improving the health and well‐being of survivors of intimate partner violence (IPV). In ad...

This study aimed at describing the model of voter education of women-based democracy volunteers in Pekanbaru City and Dumai City. Democracy volunteers are partners in the General Election Commission, who deliver electora...

This paper examines the presence and performance of cultural and creative industries (CCIs) in rural regions, specifically using the example of the Vysočina Region, and compares it with other regions in the Czech Republ...

O presente trabalho teve como objetivo avaliar o potencial das variáveis geomorfométricas extraídas de dados SRTM (Shuttle Radar Topographic Mission) para identificação de tipos vegetacionais da região do interflú...