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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...

"The aim of this letter is to introduce the permutation min-entropy as an improved symbolic tool for identifying the existence of hidden temporal correlations in time series. On the one hand, analytical results obtained ...

Mathematics and computer science play a pivotal role in modern biology. Dynamical models based on differential equations are particularly adapted to describe dynamic behaviors of many biological processes. However, tradi...

In this paper we raise the question “why is agreement so common across natural languages?”. We will argue that the challenge of grammar inference in natural and artificial languages provides key insights into the ubi...

"Complex networks theory have gained wider applicability since methods for transformation of time series to networks were proposed and successfully tested. In the last few years, horizontal visibility graph has become a ...

Wheel-legged robots offer high mobility on flat terrain and adaptability in complex environments, yet achieving stable motion under uncertain ground conditions and during height variations poses significant control chall...

Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...

Abstract In the present study, we examine how optical solitons behave in a synthetic nonlocal nonlinear medium. An analytical investigation is conducted into the nonlinear dynamical model that represents the propagation ...

Abstract In this paper, we investigate the dynamical behaviour and soliton solutions of the M-fractional Kairat-II equation. Initially, soliton solutions are obtained using the new extended direct algebraic method. To en...

The increasing integration of inverter-interfaced renewable energy sources has significantly changed the dynamic characteristics of modern power systems, resulting in a substantial decline in effective system inertia and...

Peacocks have become a significant threat to agricultural fields, causing crop damage and affecting irrigation infrastructure. Traditional deterrence tools, such as scarecrows and nets, are often inefficient, labor- inte...

Discretization of continuous models can do more than approximate their dynamics; it can fundamentally transform their dynamical behavior, such as the complex dynamical behavior that translates the system to a chaotic sta...

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 ...

As the key element for optical systems, polarization controllers with versatile functionalities are highly desired. Here, a CMOS-compatible polarization switch is proposed and realized by using a Mach–Zehnder interfero...

Highly divergent and asymmetric beam profiles are an inherent limitation of facet-emitting mid-infrared semiconductor lasers and complicate their use in free-space optical systems. In this work, we demonstrate beam colli...

A common feature in biological neuromuscular systems is the redundancy in joint actuation. Understanding how these redundancies are resolved in typical joint movements has been a long-standing problem in biomechanics, ne...

Pluripotent stem cells (PSCs) are capable of self-renewing and producing all cell types derived from the three germ layers in response to developmental cues, constituting an important promise for regenerative medicine. P...

Context. Recent observational results have found a bend in the Tully-Fisher relation in such a way that low-mass systems lie below the linear relation described by more massive galaxies. Aims. We intend to investigate th...

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...

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...

ABSTRACT Microorganism‐based therapies, particularly those utilizing probiotics, have emerged as a powerful biomedical strategy owing to their inherent living functionalities. These living systems can dynamically inter...

Immune responses and inflammation are not stand-alone processes linearly regulated by the canonical signaling pathways but complex systems biology events, which are deeply rooted in the metabolic state of cells and dynam...

To address the challenges of aviation safety information overload in Pre-flight Information Bulletin (PIB) systems, this study proposes an intelligent classification framework (ERNIE-DPCNN) that integrates knowledge-enha...

Legged robots, particularly quadrupeds, have emerged as an essential research focus for traversing unstructured environments where wheeled systems are limited. This paper presents a novel Multi-Level Cognitive Control Ar...