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Abstract The rapid adoption of AI is transforming industrial wastewater treatment by enabling real-time monitoring, predictive control, and operational optimization. Publications on the subject accelerated sharply betwee...

Background: Digitalisation has become a priority for organisations in their quest to improve service delivery and efficiency, and to increase their market share. To achieve this, organisations need to assess their stren...

Abstract Diabetes mellitus represents one of the most prevalent chronic diseases worldwide, posing serious challenges to global health and healthcare sustainability. Conventional therapeutic strategies often face limitat...

BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...

Abstract Background To improve the visualisation of colorectal cancer (CRC) and its metastatic lymph nodes (LNs), we developed a second near-infrared window (NIR-II; 1000–1700 nm) fluorescent probe using a monoclonal ...

Human induced pluripotent stem cells (iPSCs) are transforming adoptive cell therapy by combining unlimited self-renewal, broad differentiation potential, and high amenability to genome engineering. These attributes make ...

The combination of brushite (dicalcium phosphate dihydrate) and polyethylene glycol (PEG) provides a synergistic platform that integrates the biocompatibility and protein affinity of brushite with the antifouling propert...

Convolutional neural networks (CNNs) and visual Transformers have become the dominant approaches for hyperspectral image (HSI) classification due to their powerful feature representation capabilities. However, CNNs are l...

Background: As athletes develop, their motor patterns evolve from variable to adaptive neuromuscular control strategies, enabling precise execution of complex movements. Traditional linear biomechanical analyses of wrest...

Transformational climate adaptation requires coordinated action across sectors and scales, enabled by governance arrangements that can address systemic barriers. Public-private partnerships (PPPs) may provide such a mech...

The management and operation of the power system would be significantly enhanced if accurate prior knowledge of power exchanges were provided, which could provide valuable insights into the system and help predict the re...

PurposeThis study addresses the fragmented understanding of how digitalization shapes organizational capabilities by identifying and synthesizing the underlying mechanisms.MethodsA mechanism-based systematic literature r...

This paper addresses the challenge of packet-based information routing in large-scale communication networks. The problem is framed as a constrained statistical learning task, where each network node operates using only ...

Abstract Low-Earth orbit (LEO) satellites encounter significant energy challenges during eclipse periods and low solar illumination, limiting mission autonomy, operational lifespan, and functionality. This paper presents...

Abstract Background Rapid and accurate pest diagnosis is essential for reducing crop losses and improving agricultural productivity. Most existing methods rely on deep learning-based object detection to classify pests in...

Abstract Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are detected in blood and have been catalogued in the Blood Exposome Database. Comprehensive hazard assessment of a che...

Social media has revolutionised communication, enabling communities to report on their issues in their own way. Thus, social movements all over the world have mobilised the power of social media, as these platforms grant...

In the context of globalized food production, traceability is a key requirement in the fisheries sector, particularly for prepared and packaged fish products, where processing may hinder visual inspection and increase th...

Abstract BackgroundDigital behaviors such as sleep, social interactions, and productivity reflect how individuals structure their daily lives. Among university students, online activity patterns mirror academ...

Media sosial telah menjadi bagian penting dalam kehidupan masyarakat, namun peningkatan penggunaannya sering dikaitkan dengan dampak negatif terhadap kesehatan mental seperti stres, adiksi, FoMo, dan insomnia. Upaya pred...

The competition, especially for light, is a fundamental determinant of the structure and composition of a forest. Large-scale forest models must balance real-world complexity with computational demand and poorly constrai...