Artificial neural network algorithm for time dependent radiative Casson fluid flow with couple stresses through a microchannel by Pradeep Kumar, Felicita Almeida, Qasem Al-Mdallal

“…They help in modelling and analysing complex fluid flow problems and when properly trained they help in predicting the flow structures. Thus, this study focuses on constructing an artificial neural network design to solve mathematical problem of Casson fluid flow in the presence of non-linear radiation and a magnetic field. …”
Get full text

Hydrogen-centric machine learning approach for analyzing properties of tricyclic anti-depressant drugs by Simran Kour, J. Ravi Sankar

“…Additionally, hydrogen representation had a stronger impact on SVR's predictions.DiscussionThese findings highlight the potential of using machine learning techniques in quantitative structure-property relationship (QSPR) models for more efficient and reliable predictions of drug properties.…”
Get full text

Mixing High-Frequency Bands Based on Wavelet Decomposition for Long-Term State-of-Charge Forecasting of Lithium-Ion Batteries by Yeseo Joo, Chihyeon Choi, Sangho Lee, Youngdoo Son

“…Finally, we integrate the low- and high-frequency features generated solely by linear transformations that help maintain temporal structure and improve long-term forecasting accuracy. …”
Get full text

Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption by Mahyar Abasi, Javad Ebrahimi, Shirin Besati

“…However, the growing adoption of EVs has made it crucial for operators and network designers to strategically plan for electric power consumption, adapt the distribution network structure, and accurately determine the optimal number and positioning of charging stations. …”
Get full text

Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

Get full text

Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid by Benlei Wang, Shunmin Zhu, Ugochukwu Ngwaka, Boru Jia, Kumar Vijayalakshmi Shivaprasad, Yaodong Wang, Andrew Smallbone, Anthony Paul Roskilly, Ercang Luo

“…As an emerging micro- or small-scale energy conversion technology, linear Joule engine generators (LJEGs) combine the advantages of external combustion engines and linear generators, feature the advantages of high thermal-to-electrical efficiency, multi-fuel potential, good operational flexibility, a simple and compact mechanical structure, and low frictional loss. …”
Get full text

Defending Against the Homodyne Detector-Blinding Attack on Continuous-Variable Quantum Key Distribution Using an Adjustable Optical Attenuator by Yijun Wang, Yanyan Li, Wenqi Jiang, Ying Guo

“…In the real world, a homodyne detector has a finite linear domain, so the linearity assumption is broken when the input is too large. …”
Get full text

Effects of perinatal variables on echocardiographic assessments of left ventricular dimensions in infants born large for gestational age: a prospective cohort analysis by Ahmed Amarah, Ibrahim Elmakaty, Iram Nadroo, Manoj Chhabra, Danthanh Hoang, Debbie Suk, Ali M. Nadroo, Nitin Ron, Beata Dygulska, Madhu B. Gudavalli, Pramod Narula, Ashraf Gad

“…Data were analyzed using multivariate linear regression in STATA. Results A total of 563 neonates were enrolled in this study. …”
Get full text

Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approach K-Banhatti topological descriptors by Abdul Rauf Khan, Ifra Naeem, Fairouz Tchier, Fikadu Tesgera Tolasa, Shahid Hussain

“…Topological descriptors enable the exploration of the complexity, connectivity, and other essential attributes of molecules. The quantitative structure-property relationship (QSPR) analysis of pharmaceuticals for illness treatment employing K-Banhatti topological descriptors is an economical approach utilised by pharmaceutical researchers. …”
Get full text

Active Noise Control with a Single Nonlinear Control Filter for a Vibrating Plate with Multiple Actuators by Krzysztof MAZUR, Marek PAWEŁCZYK

Get full text

Experimental Study on the Effect of Wind Speed on Hail Impacts by Yimin Dai, Yao Deng, Hao Luo, Yanwen Long

Get full text

The J-shape of β2GPI reveals a cryptic discontinuous epitope across domains I and II by C.J. Lalaurie, M. Kulke, N. Geist, M. Delcea, P.A. Dalby, T.C.R. McDonnell

“…We therefore suggest that we have been able to identify the structural mechanism at the residue level which results in increased antibody binding in the J-Shape, and specifically in the clipped protein.…”
Get full text

Three Sources of Inefficiency in Russian Science and Three Pillars for Innovation by A. A. Nikonova

“…The study presents empirical data to demonstrate the significant impact of three main sources of R&D inefficiency: 1. The diverse structure of the Russian economy, which divides the science sector according to various characteristics, leads to low internal demand for domestic research and innovation. 2. …”
Get full text

Performance-Based Design Assessment of a Chilean Prescriptive R.C. Shear Wall Building Using Nonlinear Static Analysis by Mario Gutiérrez, Juan C. Vielma-Quintero, Jorge Carvallo, Juan C. Vielma

“…Performance-based seismic design (PBD) has emerged as a key approach for rationalizing prescriptive code provisions and improving the explicit assessment of structural performance. In Chile, where reinforced concrete shear wall buildings are the predominant structural typology, evaluating their seismic response beyond traditional linear methodologies is crucial. …”
Get full text

QSAR Model for Prediction of some Non-Nucleoside Inhibitors of Dengue Virus Serotype 4 NS5 using GFA-MLR Approach by Samuel Adawara, Gideon Shallangwa, Paul Mamza, Abdulkadir Ibrahim

“…Genetic function algorithm and multiple linear regressions were used to build a robust quantitative structure-activity relationship model. …”
Get full text

Acoustic monitoring of soil water content during tillage and sowing by Hans-Hermann Kaufmann, Hubertus Siebald, Carolina Bilibio, Abozar Nasirahmadi, Oliver Hensel

Get full text

Calculation of Isothermal Compressibility and Bulk Modulus as a Function of Pressure in a Perovskite-Like Framework of [(C3H7)4N] [Mn(N(CN)2)3] by Sedat Avcı, Mustafa Kurt

“… The many distortions in solid material that are most easily triggered by factors like pressure are called its structural degrees of freedom. Zeolites, perovskites, coordination polymers and metal-organic frameworks (MOFs) are all members of the extensive and significant family of solids known as framework materials. …”
Get full text

Advances in impact force identification: A comprehensive review of techniques and mathematical innovations by Hamed Kalhori, Shabnam Tashakori, Ben Halkon, Mehrisadat Makki Alamdari, Bing Li, Morteza Saberi

Get full text

Revisiting Volterra defects: geometrical relation between edge dislocations and wedge disclinations by Shunsuke Kobayashi, Katsumi Takemasa, Ryuichi Tarumi

Get full text

A 3D DC Electric Field Meter Based on Sensor Chips Packaged Using a Highly Sensitive Scheme by Pengfei Yang, Xiaolong Wen, Xiaonan Li, Zhaozhi Chu, Chunrong Peng, Shuang Wu

Get full text