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The current study will deal with the problem of natural resource degradation, presenting a new, multifaceted approach to the measurement of watershed health. This idea determines the capacity of a watershed to be structu...

Abstract Cognitive radio networks (CRN) enable secondary users (SUs) to opportunistically access underutilized licensed spectrum while protecting primary users (PUs) from interference. However, robust spectrum sensing un...

The provision of accurate and explainable captions and answers to visual questions about remote sensing images is essential in areas such as disaster management, land-use supervision, and military analysis, where system ...

Maintaining B-cell tolerance – the elimination of self-reactive B-cells – is literally a life-long challenge because the B-cell receptor mutates to generate millions of new variants during each immune response in the...

Abstract Chronic wounds represent a longstanding clinical problem due to impaired angiogenesis due to insufficient activation of vascular endothelial growth factor receptor 2 (VEGFR2). In this investigation, we used comp...

Abstract Confinement epitaxy beneath graphene stabilizes exotic material phases by restricting vertical growth and altering lateral diffusion, conditions unattainable on bare substrates. However, achieving long-range int...

Abstract We investigate the cosmological implications of an extended gravitational framework based on biconnection gravity, constructed from the Schr $$\ddot{\textrm{o}}$$ o ¨ dinger connection and its dual. In this app...

Abstract Autonomous vehicles (AVs) are diffusing in cities worldwide, propelled by expectations for enhanced safety and sustainability. This study examines urban innovation mechanisms across 30 pilot cities in China, ana...

We investigate whether a dynamical wormhole could survive in a universe that undergoes a cosmological bounce. First, the conditions under which a wormhole could persist from a contracting to an expanding phase of the cos...

The precise treatment and dynamic management of traumatic brain injury pose a substantial challenge to the global healthcare sector. This challenge arises not only from the complex and dynamically evolving pathological m...

Abstract Matching college students with appropriate innovative training projects is a challenging task that often relies on static assignment techniques, which overlook individual interests, skills, and learning styles. ...

Abstract Background Endothelial cells (ECs) orchestrate vascular homeostasis and resilience but can undergo reprogramming into a mesenchymal-like phenotype through an endothelial-to-mesenchymal transition (EndMT). Crucia...

Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...

The research aim. The article aims to examine the features of the activities of Protestant sects (primarily Baptists and Evangelical Christians) in the territory of the Kharkiv province at the end of the 20th century. Th...

In this article, we examine the role of financial assets as a key instrument for improving enterprise management efficiency, with a particular focus on marketing activities under the conditions of globalization, digital ...

BackgroundThe integrated stress response (ISR) can cause high-grade serous ovarian cancer (HGSOC) cells to arrest in G1 phase, significantly suppressing their hyperproliferation. Nevertheless, the specific molecular mech...

Abstract We explore a cosmological framework in which a Gauss–Bonnet (GB) coupled scalar field, acting as dark energy, interacts with a fermionic dark matter field through a coupling obtained from the point of view of ...

The purpose of this article is to systematise knowledge on food safety from a theoretical and legal perspective. The research methodology is based on desk research, involving an analysis of scientific literature, legal d...

Abstract Collaborative filtering and neural recommendation models have advanced substantially over the past decade, yet they frequently struggle to capture the fine-grained structure of user preferences and the rich, mul...

INTRODUCTION: Accurate power quality disturbances (PQDs) classification is critical for maintaining grid stability and reliability in modern power systems. However, existing deep learning methods predominantly rely on si...

Background: Along with the development of sociolinguistic studies and language education, the orientation of research and learning practices is shifting from a monolingual approach to a more inclusive multilingual framew...

Abstract We investigate a cosmological model based on matter creation in a single-component universe, its late time behavior and observational constraints derived from observational data. Furthermore, we explore the equi...

Optical lattices (OLs) with conventional spatial periodic λ/2, formed by interfering the counterpropagating laser beams with wavelength λ, are versatile tools to study the dynamical and static properties of ultracold a...

Abstract The integration of large-scale distributed power sources complicates grid topology and intensifies spatiotemporal coupling in power data. This complicates the analysis of intrinsic correlations and makes predict...