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Abstract Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems have significantly advanced data modelling capabilities and improved opportunities for extracting knowledge from vast and heterogeneo...

Abstract It is often argued that constitution and causation are different kinds of dependence relations. Some have argued for a distinction between constitutive explanation of causal capacities that explain what a system...

The shift toward sustainable and intelligent buildings has accelerated the demand for advanced maintenance strategies that reduce energy waste, downtime, and improve reliability. Traditional maintenance approaches (react...

Problem: Existing approaches to European security governance remain fragmented, focusing either on traditional deterrence or on sector-specific risk management. Such compartmentalization fails to capture the systemic com...

Context. Astronomical environments are governed by a complex interplay of physical processes, including gravitational dynamics, radiative transfer, stellar evolution, chemistry, and hydrodynamics. These processes span a ...

Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. Such approaches found fertile ground in optical communications, a technological field that is very demanding in t...

Efforts to harness quantum hardware relying on quantum mechanical principles have been steadily progressing. The search for novel material platforms that could spur the progress by providing new functionalities for solvi...

The purpose of the paper is to examine the structural and functional transformation of the digital tourism ecosystem during the transition from traditional intelligent assistants, such as LLM-based chatbots, to a new par...

Advanced systems for governance of big objects are inconceivable without information support based on innovative technologies. The country-level governance, with policy setting for various spheres of the societal activit...

Electromagnetic driving in a honeycomb lattice can induce gaps and topological edge states with a structure of increasing complexity as the frequency of the driving lowers. While the high frequency case is the most simpl...

Phase separation in complex systems is a ubiquitous phenomenon. While simple theories predict coarsening until only macroscopically large phases remain, concrete models often exhibit patterns with finite length scales. T...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

Abstract The rising complexity of urban areas, along with growing public safety needs, has made intelligent video surveillance systems more essential. The current surveillance systems that rely on human observation and p...

The rapid growth of Internet of Things (IoT) devices, including smartwatches, home assistants, and connected appliances, has brought significant convenience to daily life, but it has also introduced serious security chal...

This research paper examines ChatGPT's methodologies for addressing the untranslatability challenges posed by verbified proper nouns in English-Arabic translation. The process of denominalization, whereby proper nouns ar...

The settlement of inheritance disputes in Indonesia is a complex issue involving various legal systems, including Islamic family law and customary law. This study aims to conduct a comparative analysis between these two ...

The object of research is the problem of rational distribution of limited resources between subsystems of a complex system that function independently. The relevance of the work is determined by the fundamental features ...

With the rapid evolution of virtual reality technologies such as digital twins, industrial Internet of Things, edge intelligence, and metaverse, virtual‒reality integration has become a core driving force for the const...

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...

Tensor network formalisms have emerged as powerful tools for simulating quantum state evolution. While widely applied in the study of optical quantum circuits, such as boson sampling, existing tensor network approaches f...

Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...

Abstract Microrobotic systems offer significant potential for precision medicine by enabling minimally invasive interventions in complex fluidic environments. However, effective operation in these settings requires actua...

Abstract As a fundamental and challenging problem in quantum information processing, quantum state discrimination (QSD) has recently been revisited from the perspective of non-Hermitian (NH) physics. The existing work ab...

Abstract This study presents a numerical framework for analyzing dispersion and wave propagation in spatiotemporally modulated metamaterials. A one-dimensional periodic spring–mass system with space- and time-dependent...