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Communication delays within connected and autonomous vehicles (CAVs) pose significant risks. It is imperative to address these issues to ensure the safe and effective operation of CAVs. However, the exploration of commun...

Abstract Enhanced weathering in agriculture is a potential gigatonne-scale carbon dioxide removal (CDR) pathway, but its potential remains difficult to constrain. We used a formal expert elicitation process to estimate C...

Transition-metal-doped semiconductor nanocrystals have received significant attention because of their attractive features deeming them invaluable in various technological fields including optoelectronics, bio-photonics,...

While conventional optical sensors hold historical significance, they face inherent limitations in sensitivity, operational intricacies, and bulky size. A breakthrough in this realm comes from the advent of metasurface s...

Abstract The Internet plays a pivotal role in tackling global climate challenges, particularly in facilitating a transition toward low-carbon behavior. However, the mechanisms by which the Internet shapes low-carbon beha...

This paper aims to assess the impact of financial factors on the dividend payout ratio, and the purpose is to research factors affecting dividend payout in less developed markets and compare them with the results of pr...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

Abstract Purpose Blockchain technology offers transformative opportunities for healthcare in terms of data security, interoperability, and patient engagement. However, its adoption requires significant adjustments in inf...

Abstract Background Accurate and timely estimation of nitrogen nutrition index (NNI) is critical for assessing crop nitrogen (N) status and implementing precision N management. While machine learning (ML) techniques comb...

Water-scarce smallholder regions require irrigation strategies that are both biophysically credible and socially legitimate. We propose an integrated hydro-economic decision-support framework for the Cesar Department (Co...

Test-based automated program repair (TB-APR) techniques automatically fix buggy programs by relying on a failing test suite. This test suite serves a dual purpose: pinpointing bugs and evaluating the validity of potentia...

Abstract In many real-world applications, binary and multi-class classification problems involving imbalanced data and overlapping boundaries present a significant challenge for traditional machine learning algorithms. I...

Abstract Cross-lingual information retrieval limits global exchange of data because of the high diversity in the methods to classify, document and encode medical procedures. Traditional keyword-based or single-language s...

Abstract Single-image dehazing is essential for safety-critical vision systems, yet existing CNN-based methods are often too heavy for edge devices or fail to adapt to spatially varying haze density. This paper introduce...

Suburban areas have significant potential for densification to address housing shortages, yet municipal planning departments often exhibit inertia in fully exploiting this potential. Consequently, private developers have...

Abstract Background A core tenet of implementation science is early planning for implementation with invested partners. For health systems, aligning workflows and strategies to the local context and ensuring that the int...

Abstract In Digital Image Processing (DIP), image enhancement using univalent functions entails mapping pixel intensity values (gray levels) using one-to-one, invertible complex functions, frequently in the frequency dom...

Abstract Background Improving equitable access to fresh fruit and vegetables (FV) remains a critical public health priority in the UK, particularly in low-income communities where affordability, accessibility, and social...

Controlling nonlinear pulse propagation in optical fibers is paramount for applications spanning spectroscopy and optical communication networks. However, the inherent complexity of laser pulse evolution in matter, shape...

Abstract Given their attractiveness as a source of financing for the least developed countries, multilateral development banks (MDBs) have grown in quantity and size supported by their sources of financing. We believe th...

This study explores the strategies employed by mid-sized manufacturing firms to leverage digital technologies and harness the vast amounts of data associated with them. It examines the impact of digital transformation on...

With the advancement of personalized cancer immunotherapies, new tools are needed to identify tumor antigens and evaluate T-cell responses in model systems, specifically those that exhibit clinically relevant tumor progr...

Abstract Efficient operating room (OR) time management is critical for healthcare quality, yet the precise relationships among key OR metrics remain underexplored. This study analyzed data from 3,423 patients treated in ...