Khazar University

Green-Synthesized Mesoporous Silica-Enhanced Herbal Nanofibers with Antimicrobial, Anti-Inflammatory, and Biocompatible Wound Healing Potential

Advanced wound dressings should actively promote tissue repair while preventing microbial infection and excessive inflammation. In this study, multifunctional electrospun nanofibers composed of poly(vinyl alcohol)/chitosan/gelatin were developed by incorporating green-synthesized...

Neutrino oscillations in a Kalb–Ramond black hole background

Abstract The analysis examines how neutrinos behave when their trajectories unfold around a black hole sourced by a Kalb–Ramond field, where spontaneous Lorentz symmetry-breaking reshapes the surrounding geometry. Instead of following the conventional order, the study focuses fir...

Wave dynamics of Data-Driven soliton interaction for the nonlinear Bubble liquid model in complex fluid systems using Symbolic based Artificial Neural Network approach

In this article, we investigate the wave dynamics for solitons to the nonlinear bubble liquid model by applying the novel bilinear neural network approach. This equation has applications in complex fluid systems, fluid mechanics, geophysical flows, acoustic activation, and biomed...

Binary Darboux transformations for a skew-symmetric matrix integrable nonlinear Schrödinger equation

The aim of this article is to construct a class of binary Darboux transformations for a skew-symmetric matrix integrable nonlinear Schrödinger equation. The associated AKNS-type Lax pairs, corresponding to the orthogonal Lie algebra so(2m), provide the framework necessary for sys...

Pumping Power Reduction in Crude-Oil Pipeline Transportation: CFD Validation and Kolmogorov–Arnold Network Surrogate Modelling

Precise prediction of pressure drop and drag-reduction performance is essential for improving the hydraulic efficiency and reducing the energy demand of crude-oil pipeline transportations. Therefore, this study aims to develop an integrated computational fluid dynamics (CFD)–mach...

Quantum-corrected thermodynamics and phase structure of AdS Euler–Heisenberg black hole

Abstract We investigate the thermodynamic behaviour of an AdS black hole arising from nonlinear electrodynamics-corrected gravity, incorporating quantum effects through thermal fluctuations. From the Einstein–Euler–Heisenberg framework, we consider the modified black hole solutio...

The Role of Resilience in Relation to Depression, Anxiety, Stress, and Post-Traumatic Stress Symptoms Among Syrian Refugee Adolescents in Türkiye

Objectives: Mental health problems and post-traumatic stress symptoms are prevalent among adolescent refugees, yet little is known about the role of resilience in relation to these difficulties among Syrian adolescents. This study examined the unique contribution of resilience to...

Probing dark matter and phantom field effects on neutrino oscillations around black holes

Abstract This study investigates how dark matter in the background of the phantom field (DMPF) near a black hole influences neutrino flavor oscillations using a two-flavor model. It is found that gravitational effects are cancelled for radially moving neutrinos, causing the oscil...

Circular-orbit dynamics and QPO constraints in static Einstein–scalar–Gauss–Bonnet black holes

Abstract Einstein–scalar–Gauss–Bonnet (EsGB) gravity provides a physically motivated framework for testing strong-field deviations from the Schwarzschild geometry through scalar hair. We study neutral-particle circular motion and high-frequency quasi-periodic oscillations (HF-QPO...

Atomic clocks and gravitational waves as probes of non-metricity

Abstract Non-metricity provides a natural extension of Riemannian geometry, yet its experimental signatures remain largely unexplored. In this work we investigate how spacetime non-metricity can be probed through high-precision observations, focusing on atomic clocks and gravitat...

Decoding the greybody factor and potential barriers in a static black hole with quantum corrections

Abstract This article investigates the greybody factor of a static, spherically symmetric black hole coupled with the effective quantum gravity. With the use of Klein–Gordon equation, the radial component for a massless scalar field is computed. We then employ the tortoise coordi...

The Association Between Job Stress and Intention to Leave in Healthcare Institutions: A Systematic Review and Meta-Analysis

Background: Job stress is a pervasive issue in modern workplaces and is associated with numerous adverse outcomes, including employees’ turnover intention when stress levels are high. Objective: This study aimed to examine the association between job stress and turnover intention...

Black Hole Gravitational Phenomena in Higher-Order Curvature–Scalar Gravity

This work aims to explore the gravitational consequences of a recently proposed black hole solution previously introduced, which incorporates quantum gravitational corrections of General Relativity. We initiate our analyses by taking into account the horizon structure, focusing o...

Inclined gabion drops improve hydraulic performance relative to conventional USBR stilling basins under variable flow conditions

This study experimentally and numerically investigates the hydraulic performance of the Inclined Gabion Drop (IGD) as a sustainable energy dissipator compared with conventional USBR stilling basins. Laboratory experiments were conducted under varying flow conditions, drop heights...

A lightweight hybrid encryption scheme for secure IoT communications based on elliptic curve cryptography and a chaotic dynamic substitution box

The rapid growth of interconnected systems, particularly within the Internet of Things (IoT), has significantly increased the volume of data exchanged across networks, making data security a critical challenge in environments with limited computational resources. Consequently, th...

A hybrid machine learning framework using fractional order dynamics to predict fish toxicity in aquatic ecosystems

Accurate prediction of chemical toxicity to aquatic organisms remains a critical challenge in environmental risk assessment. Traditional machine-learning (ML) models capture static correlations but cannot represent time-dependent, memory-driven processes such as bioaccumulation a...

Early Mental Recovery After Job Loss: Uncovering Critical Factors Through a Novel Fuzzy Decision-Making Framework

In corporate life, job loss is a multidimensional crisis that not only threatens individuals’ economic security but also profoundly shakes psychological balance, sense of identity, and future expectations. The aim of this study is to identify the factors that most significantly i...

Analytical and Numerical Bound-State Analysis of One-Dimensional Time-like Vector Potentials in the Feshbach–Villars Formalism

We analyse one-dimensional bound states of spin-zero particles coupled to external time-like vector potentials within the Feshbach–Villars representation. The study is organised around a practical criterion of physical admissibility that distinguishes genuine bound states from sc...

Geometric and wave optics analysis of BTZ-like charged wormholes with disclinations

We study the geometric and wave-optical properties of a charged BTZ wormhole (BTZCWH) spacetime carrying disclinations. The metric function \(f(r)=1-b_0/r-\mathcal {Q}^2 r^2/4\) has two positive zeros, an inner throat \(r_0\) and an outer zero \(r_*\) ; the static Lorentzian desc...

Ternary Deep Eutectic Solvents in Analytical Chemistry: Design Principles, Sample-Preparation Strategies, and Emerging Sensing Applications

In this review, we emphasize on ternary deep eutectic solvents (TDESs) utilized in environmental and analytical chemistry for separation and sensing purposes in contrast to their binary counterparts, known as simple deep eutectic solvents (DESs). To ensure food security, high wat...