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In the modern globalized world, political processes increasingly occur as a result of interactions between individual actors who form networks. Contemporary political processes are examined through the lens of Policy Net...

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...

We study the structural properties of networks formed by random sets of bit strings—namely the ordered arrays of binary variables representing, for instance, genetic information or cultural profiles. Two bit strings ar...

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...

Abstract Pattern separation, the ability of a network to distinguish similar inputs by transforming them into distinct outputs, was postulated by the Marr-Albus theory to be realized by divergent feedforward excitatory c...

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...

Abstract Tracking control of tendon-driven manipulators has become a prevalent research area. However, the existence of flexible elastic tendons generates substantial residual vibrations, resulting in difficulties for tr...

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: ...

Abstract Deployable mechanism with preferable deployable performance, strong expansibility, and lightweight has attracted much attention because of their potential in aerospace. A basic deployable pyramid unit with good ...

Identity construction is a fluid process shaped by cultural, social, and technological forces, particularly in the digital era. Jennifer Egan’s Look at Me critiques how technology and surveillance reshape selfhood, hig...

The paper explores and isolates factors related to the role of technology during strategy implementation in the public sector. In pursuit of the objective, the actor-network theory (ANT) is used to explore the relationsh...

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...

The Mental Health Continuum - Short Form (MHC-SF) is a self-reporting instrument for assessing positive mental health, which is understood as symptoms of positive affection, self-development and social connectivity. The ...

In this work we use complex systems methodologies to analyze quantitatively the impact of an intervention involving cooperative and self-awareness activities on social interactions in children. The aim of this study is t...

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...

The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in...

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...