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The integrated energy system, as a crucial physical form supporting the energy Internet, has rapidly expanded in scale under the continuous wave of technological innovation. The high integration of various energy sources...

Abstract The increase in vehicle ownership and urban population puts a strain on roads and increases traffic congestion within developed and developing nations. Congestion affects an individual’s time and increases an ...

Abstract The increasing penetration of photovoltaic distributed generation (PV-DG) in Radial Distribution Systems (RDSs) plays a vital role in achieving sustainable energy transition objectives; however, the inherent unc...

Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

Reconciling urban expansion with ecological integrity is a key objective of the Kunming-Montréal Global Biodiversity Framework, particularly in fluvial and coastal cities. Their extensive river networks and urban wetlan...

Agricultural innovation represents a critical pathway for achieving land ecological security under intensifying environmental pressures, yet how agricultural innovation drives land ecological security across spatial scal...

This study focuses on the explainability of AI operations for diagnosing degradations in cloud applications. Log data can provide essential contextual information on misbehaving applications in monitoring, evaluated agai...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Background Walking impairments post-stroke are common but studying their neural basis with fMRI is difficult due to motion constraints. This study used post-task resting-state residual activity (PTRRA) to investigate wal...

Abstract Digital technologies and AI promise to optimise complex systems through data-driven decisions, predictive modelling, and anticipatory action. However, this optimisation imperative creates a fundamental paradox: ...

Effective-medium approaches, such as the coherent potential approximation, are commonly used to describe the rigidity transition of disordered elastic networks. While successful in capturing the universal critical behavi...

Abstract This work generalizes Heider’s classical balance theory into a quantum mechanical framework. The core idea is that, just as quantum reality exists in a superposition of possibilities until observed, our real-l...

Abstract Quantum networks (QNs) have been predominantly driven by discrete-variable (DV) architectures. Yet, optical platforms naturally generate Gaussian states—the common states of continuous-variable (CV) systems, m...

Abstract Alzheimer’s disease, a progressive neurodegenerative disorder, presents a growing global health challenge due to its increasing prevalence and lack of accessible early diagnostic methods. Even though it has en...

Abstract Indonesia's government procurement system struggles to integrate research and innovation products, hindering industrial competitiveness. This study maps Indonesia’s innovation procurement system across three l...

In this paper, we chart an emerging academic terrain: cultural evolution of the arts, which is a theory-driven exploration of artistic dynamics, often done with large datasets of music, literature, movies, paintings, or ...

ABSTRACT Deep brain stimulation (DBS) for treatment‐resistant depression (TRD) is challenged by significant individual variability in efficacy and unclear neural circuit mechanisms. To address this, a cross‐species, ...

Abstract Background Long COVID is an infection-associated chronic condition with uncertain evolution, leading to ambiguity in case definitions and various hypotheses about its pathophysiology. Despite this diversity, cau...

Abstract Machine learning surrogate models of Kohn-Sham Density Functional Theory Hamiltonians provide a powerful tool for accelerating the prediction of electronic properties of materials, such as electronic band struct...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

Abstract Due to the complexity of substation systems and the diversity of data sources, potential inaccuracies or inconsistencies in data may compromise the accuracy of intelligent detection. To address this issue, an in...

Iran’s foreign policy in the Middle East is characterized by a dual strategy of proxy warfare and nuclear ambitions, which together form the backbone of its regional influence. The strategic landscape shifted dramatica...

Jie Wu,1,* Xuelian Li,1,* Weichu Liu,2 Yingzhuo Ma,1 Qinghua Zhao,1 Mingzhao Xiao,1 Jun Wang1 1Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s R...

Abstract Excessive and repetitive information is a common experience in online communities. While prior research has focused on general information overload, the effects of similarity overload, where content is redundant...