Innovative pitcher-shaped antenna with dual notches on a flexible leather substrate for c-band communication by Anurag Saxena, Raghav Agarwal, Vinod Kumar Singh, Ramesh Kumar Verma, Ratnesh Tiwari

“…The utilization of a parametric report serves to provide justification for the appropriateness of the projected antenna. …”
Get full text

Proposed Raised Cosine FMF for Dispersion Management in Next-Generation Optical Networks by Saleh Chebaane, Habib Fathallah, Hussein Seleem, Mohsen Machhout

“…Moreover, we propose and investigate a novel parametric refractive index profile few-mode fiber, referred to as raised cosine (RC) function, which has been extensively used in digital communication pulse shaping. …”
Get full text

Multi-parameter-based Box–Behnken design for optimizing energy transfer rate of Darcy–Forchheimer drag and mixed convective nanofluid flow over a permeable vertical surface with ac... by S.R. Mishra, Subhajit Panda, P.K. Ratha

“…Precise control of heat transfer is essential in these applications. The integration of Brownian motion and thermophoresis effects elucidate the study for the energy transfer characteristics of the nanofluid flow. …”
Get full text

Haptic-Based Real-Time Platform for Microswarm Steering in a Multi-Bifurcation Vascular Network by Benjamin W. Jarvis, Kiana Abolfathi, Riccardo Poli, Ali Kafash Hoshiar

“…The use of electromagnetic fields to control a collection of magnetic nanoparticles, known as a microswarm, has many promising applications. Current research often makes use of accurate but time-consuming simulations lacking real-time human input. …”
Get full text

Exploring highly dispersive optical solitons and modulation instability in nonlinear Schrödinger equations with nonlocal self phase modulation and polarization dispersion by Wafy M. Hasan, Hamdy M. Ahmed, Ahmed M. Ahmed, Haytham M. Rezk, Wafaa B. Rabie

“…This work advances the theoretical framework for soliton dynamics and lays a foundation for future experimental validations and practical applications in nonlinear optics.…”
Get full text

Impact of double split slot geometry on aerodynamic performance of modified airfoil for wind turbine blades by Dipankar Sarkar, Anal Ranjan Sengupta, Prabhu Paramasivam, Bhaskor Jyoti Bora, Natrayan Lakshmaiya, Paragmoni Kalita, Abinet Gosaye Ayanie, Praveen Kumar Kanti

“…Overall, slotted airfoils demonstrated superior performance over clean airfoils at higher AOAs, making them particularly beneficial for vertical-axis wind turbine blade applications.…”
Get full text

Low-Frequency Carbody Sway Modelling Based on Low Wheel-Rail Contact Conicity Analysis by Yi Wu, Jing Zeng, Sheng Qu, Huailong Shi, Qunsheng Wang, Lai Wei

“…This low-frequency swaying phenomenon was also found to be caused by the excessively low wheel-rail contact or mismatched suspension parameters. Parametric optimization analysis was accordingly conducted from the perspective of the wheel-rail contact relationship and the suspension system. …”
Get full text

A hybrid approach for the machinability analysis of Incoloy 825 using the entropy-MOORA method by Sahu Saurabh Kumar, Shekhar Shiena, Khan Akhtar, Soni Dheeraj Lal, Gangwar Prashant Kumar, Gupta Manish

“…The findings indicate that the proposed hybrid approach is capable of accurately determining the best combination of parameters for cutting the chosen work material and can be employed in structural applications. For turning Incoloy 825, the optimal parametric setting was determined to be a spindle speed of 1,285 rpm, a feed rate of 0.0625 mm·rev−1, and a depth of cut of 0.3 mm.…”
Get full text

Computational analysis of entropy generation in EMHD micropolar dusty fluid flow incorporating esterification process by Aziz Ullah Awan, Muzammil Hussain, Bagh Ali, N. Ameer Ahammad, Fehmi Gamaoun, Jeevan Kafle, Sohail Nadeem

“…This comprehensive model provides new insights into complex multiphase EMHD transport phenomena and holds potential for optimization in applications such as targeted drug delivery, thermal control in EMHD-based energy systems, and electrokinetic microfluidics.…”
Get full text

Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, Douglas P. Drob, W. Kent Tobiska, Jean Yoshii

“…Abstract Machine learning (ML) models are universal function approximators and—if used correctly—can summarize the information content of observational data sets in a functional form for scientific and engineering applications. A benefit to ML over parametric models is that there are no a priori assumptions about particular basis functions which can potentially limit the phenomena that can be modeled. …”
Get full text

Calibration and uncertainty quantification for deep learning-based drought detection by Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls

“…There are two main challenges of reliability and trustworthiness limiting their applications: miscalibration and inherent uncertainty. …”
Get full text

Discrete Poisson Haq distribution with mathematical properties and count data modeling by Abdullah M. Alomair, Faisal Ayyaz, Saadia Tariq, Muhammad Ahsan-ul-Haq

“…The model parameter estimation is performed using renowned estimation approaches, method of moments, and method of maximum likelihood estimation. A parametric regression model tailored for count datasets is also developed using the proposed distribution. …”
Get full text

Finite Element Analysis of Strip Footing on Sand Surface Using Hypoplasticity by Mohamed Ramadan

“…The primary goal is to predict the bearing capacity factor 𝑁𝛾 of a variety of sand characteristics and to provide a solution that is applicable to a wide variety of sand properties.…”
Get full text

An Optimal Permanent Magnet Motor for Pumps in Electric/Hybrid Vehicles: Design and Experimentation by Mohamed Z. Youssef, Asjad Elahi, Abir Ihsan

“…The motor complies with the latest department of Energy (DoE) standards for water pump applications, released in January 2020. A design procedure is performed to optimize the cogging torque and total harmonic distortion (THD), through parametric analysis. …”
Get full text

Finite Element Combined Design and Material Optimization Addressing the Wear in Removable Implant Prosthodontics by Pejman Shayanfard, Xingchen Tan, Matthias Karl, Frank Wendler

“…Wear at the male–female interface of retentive elements in implant-supported removable prostheses is the most frequent complication in such applications. The lack of an ideal/optimal insertion path, as well as the fabrication inaccuracies, are the primary contributors to this issue. …”
Get full text

Nonlinear Vibration of Multi-Walled Carbon Nanotubes with Initial Curvature Resting on Elastic Foundations in a Nonlinear Thermo-Magnetic Environment by Gbeminiyi Musibau SOBAMOWO, James A. AKANMU, Olurotimi A. ADELEYE, Samuel AKINGBADE, Ahmed Amao YINUSA

“…However, clamped-simple and clamped-clamped supported multi-walled nanotube have the highest and lowest frequency ratio, respectively. Also, from the parametric studies to control nonlinear vibration of the carbon nanotubes, it is shown that quadruple-walled carbon nanotubes can be taken as pure linear vibration even at any value of linear Winkler and Pasternak constants. …”
Get full text

Altered gray matter volume in chronic temporomandibular disorder pain with pain catastrophizing: a voxel-based morphometry study by Thi-Thu Nguyen, Anh Ho-Quynh Nguyen, Quang-Khang Le, Thi-Kim-Anh Nguyen

“…Clinical trial number Not applicable.…”
Get full text

Overview of Traffic Flow Forecasting Techniques by Annarita Carianni, Andrea Gemma

“…The study classifies forecasting methods into four categories: naïve techniques, parametric methods, simulation-based approaches, and nonparametric models such as machine learning and deep learning. …”
Get full text

Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

“…The Bayesian rate consistency model provides a model-based, non-parametric, computationally tractable approach for estimating the fine structure and longitudinal trends in social contacts and is applicable to contemporary survey data with coarsely reported age of contacts as long as the exact age of survey participants is reported.…”
Get full text

Chaotic behavior, sensitivity analysis and Jacobian elliptic function solution of M-fractional paraxial wave with Kerr law nonlinearity. by Md Mamunur Roshid, Mohammad Safi Ullah, M M Rahman, Harun-Or- Roshid

“…These solutions have applications in wave dynamics in different optical systems and optical fibre. …”
Get full text