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The Tactile Internet of Things (TIoT) demands ultra-reliable, low-latency communication for real-time haptic application...
14/08/2025

The Tactile Internet of Things (TIoT) demands ultra-reliable, low-latency communication for real-time haptic applications in domains such as remote surgery and human-robot collaboration. Conventional Federated Learning (FL) architectures-centralized, hierarchical, or purely decentralized-each suffer from bottlenecks in scalability, latency, or trust. We propose Federated Learning Using Distributed Infrastructure for TIoT (FLUDITY), a hybrid FL framework leveraging Blockchain, Multi-Edge Computing (MEC), and a Dynamic Aggregation Decision Algorithm (DADA).
More detailed information, please visit: https://ojs.wiserpub.com/index.php/CCDS/article/view/7465

Since the outbreak of the novel Coronavirus Disease 2019 (COVID-19) in late 2019, the epidemic has significantly impacte...
13/08/2025

Since the outbreak of the novel Coronavirus Disease 2019 (COVID-19) in late 2019, the epidemic has significantly impacted social stability, the economy, and public health. Traditional epidemiological models like SI, SIS, SIR, SIRS, SEIR, and SEAIR are commonly used to analyze epidemic spread but face limitations due to assumptions of population homogeneity, difficulties in capturing non-linear and non-stationary dynamics, and challenges in representing spatial-temporal variations. This study introduces Adaptive Fourier Decomposition (AFD), an innovative method that improves data decomposition accuracy by addressing non-stationary signal characteristics and adapting to the timevarying nature of epidemic data. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7234

This paper investigates the stochastic dynamics of optical solitons in the Fokas-Lenells equation, incorporating nonline...
11/08/2025

This paper investigates the stochastic dynamics of optical solitons in the Fokas-Lenells equation, incorporating nonlinear chromatic dispersion and generalized quadratic-cubic Self-Phase Modulation (SPM). As a non-trivial extension of the Nonlinear Schrödinger Equation (NLSE), the Fokas-Lenells framework accurately models ultrashort pulse propagation in optical fibers where higher-order nonlinearities and complex dispersion effects dominate. We employ the Modified Extended Mapping Method (MEMM) to derive comprehensive analytical solutions under stochastic perturbations that realistically represent noise in fiber-optic systems. Our approach yields multiple solution classes, including dark and singular solutions, exponential-type solutions, periodic wave solutions (both trigonometric and elliptic),
Jacobi elliptic function solutions, Weierstrass elliptic solutions, and hyperbolic function solutions. The MEMM proves particularly effective in handling the mathematical complexity of the stochastic NLSE class of equations, maintaining
solution integrity while accommodating physical constraints. Through systematic parametric analysis, we identify critical condition regimes where each solution type emerges, providing new insights into noise-resistant soliton propagation in advanced photonic systems. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7653

This work investigates a class of nonlinear evolution equations that model shallow water wave dynamics and systematicall...
06/08/2025

This work investigates a class of nonlinear evolution equations that model shallow water wave dynamics and systematically recovers a rich variety of exact wave solutions, including solitary waves, shock waves, singular solitary waves, plane waves, and cnoidal waves. The methodology employed is the complete discriminant approach, a powerful analytical technique that leverages the structure of the polynomial nonlinearities within the governing equations. This approach enables the derivation of a complete spectrum of traveling wave solutions by classifying the roots of the associated algebraic equations based on the signs and multiplicities of the discriminant. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7197

In this work, two types of GaN-based square microdisks, which are suspended microdisks and microdisks with a porous bott...
04/08/2025

In this work, two types of GaN-based square microdisks, which are suspended microdisks and microdisks with a porous bottom layer based on standard blue/green Light-Emitting Diode (LED) structures grown on Si substrates, are studied. At room temperature, resonant emission was observed in the suspended square microdisk, and the porous microdisk achieved optically pumped lasing at a wavelength of 479 nm with a threshold of 4.37 mW. Optical field simulations reveal that the bridges of the suspended microdisk not only facilitate the transport of light from the microdisk into the bridges for directed propagation but also have no impact on the internal light field distribution. On the other hand, the lasing results of the microdisks with the porous bottom layer demonstrate that the presence of the porous layer enables a high degree of photon confinement within the active region. The results from both types of microdisks confirm that the electron-photon coupling efficiency can be significantly enhanced in the square microcavities, and furthermore that the optical signals can be effectively transmitted through the bridges of the suspended microdisks. This work presents a highly promising approach for Si-based optoelectronic integration.
For details, please visit: https://ojs.wiserpub.com/index.php/top/article/view/7458

The sustainable transformation of electronic waste into high-value functional materials is a critical challenge in moder...
31/07/2025

The sustainable transformation of electronic waste into high-value functional materials is a critical challenge in modern science. Here, we demonstrate a non-enzymatic glucose sensor fabricated from copper recovered directly from spent lithium-ion battery anodes—without chemical treatment or modification. The recycled copper electrode exhibited exceptional performance, including a wide linear range (up to 400 ppm, R² = 0.99), low detection limit (12.94 ppm), and high sensitivity (1,960 μA·mM⁻¹·cm⁻²), with strong selectivity against common interferents. This work pioneers an eco-friendly, cost-effective approach to electrochemical sensing, bridging waste valorization with advanced glucose detection and promoting circular economy principles through innovative material reuse. Please visit: https://ojs.wiserpub.com/index.php/FCE/article/view/6979

Dietary fibre, long dismissed as mere ‘roughage’ and relegated to animal feed, is now recognized as a vital nutrient fam...
31/07/2025

Dietary fibre, long dismissed as mere ‘roughage’ and relegated to animal feed, is now recognized as a vital nutrient family with far-reaching health benefits—particularly for gut function and systemic health. Beyond supporting digestive transit, it modulates nutrient absorption and serves as a fermentable substrate for colonic microbiota, though its effects vary by physicochemical properties and fermentability. While integral to food systems, fibre also plays a key therapeutic role, notably psyllium husk (ispaghula), a widely used supplement for laxation. This review explores dietary fibre from both food and clinical viewpoints, emphasizing its impact on gut transit and constipation relief. Please visit: https://ojs.wiserpub.com/index.php/FSE/article/view/6243

The Stochastic Graphene Sheets Equation (SGSE) is taken into consideration in this study. By applying two different meth...
31/07/2025

The Stochastic Graphene Sheets Equation (SGSE) is taken into consideration in this study. By applying two different methods such as the Sardar subequation method and Jacobi Elliptic Function (JEF) method, we obtain new periodic solitons, dark and bright solitons, anti-Kink and Kink solitons solutions for the SGSE. Because graphene sheets are important in many fields, such as electronics, photonics, and energy storage, the solutions of the stochastic graphene sheets model are beneficial in understanding several fascinating scientific phenomena. Using MATLAB, we exhibit several 2D and 3D graphs that illustrate the impact of multiplicative noise on the exact solutions of SGSE. More detailed information, please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7514

We focus on Ulam type stability for fractional differential equations with nonlocal multi-point and multi-term boundary ...
28/07/2025

We focus on Ulam type stability for fractional differential equations with nonlocal multi-point and multi-term boundary conditions. The application of Ulam stability to any type of boundary condition causes some misunderstandings which are mainly connected with the solutions of the applied inequality and the corresponding boundary condition. The main idea of Ulam type stability is the closeness between any solution of the corresponding differential inequality and the solution of the studied problem. Also, both solutions have to be deeply connected. To avoid misunderstandings in the literature we suggest three different approaches. In all of them we study the appropriately defined Ulam type stability. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7261

New Research Breakthrough from EST! Numerical Study Reveals Key Insights into Hypersonic Vortex Dynamics at Mach 5.0. Fi...
24/07/2025

New Research Breakthrough from EST! Numerical Study Reveals Key Insights into Hypersonic Vortex Dynamics at Mach 5.0. Findings show: ① Ring-like vortices become indistinct vs Mach 2.5 flows ② First two POD modes capture >38% energy ③ Laminated vortex patterns emerge from boundary layer interactions. This work advances MVG design for hypersonic vehicles, improving stability & thermal management. Read the Full Paper: https://ojs.wiserpub.com/index.php/EST/article/view/7062

A large amount of time series data is increasingly being collected in different fields. In order to make good use of thi...
24/07/2025

A large amount of time series data is increasingly being collected in different fields. In order to make good use of this large amount of time series data, it is necessary to solve the problems of high storage costs and transmission bandwidth that the data bring. To demonstrate the superior performance of Pongo, we conducted extensive experiments comparing it with ten leading compression algorithms across twenty-two different datasets. On average, Pongo achieves a compression ratio that is 14% better than Elf and 58% better than Gorilla, making it the top-performing algorithm among all those tested, as shown through both mathematical analysis and practical testing.
More detailed information, please visit: https://ojs.wiserpub.com/index.php/CCDS/article/view/7102

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