Optimising 3D-printed flexible lattice structures for morphing applications by linking rheology to mechanical behaviour by Laia Farràs-Tasias, Max Vermeerbergen, Francisco A. Gilabert, Ludwig Cardon, Flavio H. Marchesini

“…The experimental results show an enhancement of the mechanical properties tailored for the morphing application. This research not only provides a specific application optimisation but a universal methodology for optimising and linking rheology and material properties in other applications.…”
Get full text

Evaluation and comparison of semi-empirical and numerical methods in predicting wave characteristics in the South Caspian Sea by zahra hajebi, adel amouzegar, Seyed Taghi Omid Naeeni

“…In such cases, wave prediction methods can be used as an alternative to estimate wave characteristics during the design phase of various inshore and offshore structures.This research compares the prediction of wave characteristics between different semi-empirical methods and the MIKE21-SW model. …”
Get full text

Prediction of Magnetic Fields in Single-Phase Transformers Under Excitation Inrush Based on Machine Learning by Qingjun Peng, Hantao Du, Zezhong Zheng, Haowei Zhu, Yuhang Fang

Get full text

An Analysis of Type-I Generalized Progressive Hybrid Censoring for the One Parameter Logistic-Geometry Lifetime Distribution with Applications by Magdy Nagy, Mohamed Ahmed Mosilhy, Ahmed Hamdi Mansi, Mahmoud Hamed Abu-Moussa

Get full text

Composite Index for Identifying Anomalies in Low Voltage Systems Using Smart Meter Measurement Data by Felipe B. B. Rolim, Fernanda C. L. Trindade, Vinicius C. Cunha

Get full text

Rare Earth Element Contents and Occurrence Forms in Weathering Crust Ion Adsorption Rare Earth Ore by Xilian XIAO, Min GUO, Xin SHAO, Juanjuan TAN, Lei WANG, Xiaofei QIU

“…At present, most of the research on the determination of REEs in this deposit only measures the total amount and ionic phase components of REEs, and some methods have complicated operating procedures, while there is relatively little research on the analysis of various REE forms. …”
Get full text

A New Generation of Hydrological Condition Simulator Employing Physical Models and Satellite‐Based Meteorological Data by Wenchao Ma, Kenshi Hibino, Kosuke Yamamoto, Misako Kachi, Riko Oki, Haruya Yoshikawa, Kei Yoshimura

“…For river discharge, the correlation coefficient ranged from 0.494 to 0.519, the root mean square error ranged from 3,730 m3/s to 6,330 m3/s, and the mean absolute error ranged from 3,000 m3/s to 5,160 m3/s among the different forcing versions. …”
Get full text

Estudio sobre la idoneidad de dos test de valoración de la amplitud de movimiento en personas sedentarias con discapacidad intelectual (Study on the suitability of two test for th... by Ruth Cabeza-Ruiz, Pedro Tomás Gómez Piriz

“…Para conocer la idoneidad de ambos test, se calculó la fiabilidad, la viabilidad, el error estándar de la medida (EEM) y el mínimo cambio detectable (MCD). …”
Get full text

Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik by Endra Joelianto, Winarendra Satya Rajasa, Agus Samsi

“…Quadrotor swarm control has a high level of complexity because it involves many agents. Research on the development of quadrotor swarm has received insignificant attention and it still opens opportunities to research other methods that are better at producing swarm. …”
Get full text

Root-Zone Salinity in Irrigated Arid Farmland: Revealing Driving Mechanisms of Dynamic Changes in China’s Manas River Basin over 20 Years by Guang Yang, Xuejin Qiao, Qiang Zuo, Jianchu Shi, Xun Wu, Alon Ben-Gal

Get full text

Impact of microbiological molecular methodologies on adaptive sampling using nanopore sequencing in metagenomic studies by Josephine Herbert, Stanley Thompson, Angela H. Beckett, Samuel C. Robson

“…These results provide valuable guidance for optimising adaptive sampling in metagenomic workflows to achieve specific research objectives.…”
Get full text

Chronic Lung Diseases and Depressive Symptoms in Older Adults: Insights from Observational Studies and Mendelian Randomization by Liu H, Yao Y, Yang Y, Wang J, Yu J, Xu X, Luo X, Zhang Y, Song X

“…The results of the IVW analysis showed that idiopathic pulmonary fibrosis and asthma increased the risk of depression, with Beta coefficients of 2.822 [standard error (SE) =  1.087; P = 0.009] and − 1.559 (SE =  0.633; P = 0.013). …”
Get full text

Better statistical reporting does not lead to statistical rigour: lessons from two decades of pseudoreplication in mouse-model studies of neurological disorders by Constantinos Eleftheriou, Sarah Giachetti, Raven Hickson, Laura Kamnioti-Dumont, Robert Templaar, Alina Aaltonen, Eleni Tsoukala, Nawon Kim, Lysandra Fryer-Petridis, Chloe Henley, Ceren Erdem, Emma Wilson, Beatriz Maio, Jingjing Ye, Jessica C. Pierce, Kath Mazur, Lucia Landa-Navarro, Nina G. Petrović, Sarah Bendova, Hanan Woods, Manuela Rizzi, Vanesa Salazar-Sanchez, Natasha Anstey, Antonios Asiminas, Shinjini Basu, Sam A. Booker, Anjanette Harris, Sam Heyes, Adam Jackson, Alex Crocker-Buque, Aoife C. McMahon, Sally M. Till, Lasani S. Wijetunge, David JA Wyllie, Catherine M. Abbott, Timothy O’Leary, Peter C. Kind

“…We offer suggestions for how this can be remedied as well as quantifying the severity of this particular type of statistical error. Although the examined literature concerns a specific neuroscience-related area of research, the implications of pseudoreplication apply to all fields of empirical research.…”
Get full text

Performance Evaluation and Accuracy Analysis of a Chassis Dynamometer for Light Electric Vehicles by Rahmat Noval, Danardono Agus Sumarsono, Mohammad Adhitya, Ghany Heryana, Fuad Zainuri, Muhammad Hidayat Tullah, Muhammad Todaro

“…This research focuses on the development of a chassis dynamometer for light electric vehicles (LEV), utilizing the Prony Brake method for torque measurement. …”
Get full text

Validation of gyroscope sensors for snow sports performance monitoring by Ross Cameron, Lambs Peter, McAlpine Paul, Kennedy Gavin, Button Chris

“…Wearable sensors that can be used to measure human performance outcomes are becoming increasingly popular within sport science research. Validation of these sensors is vital to ensure accuracy of extracted data. …”
Get full text

A Multistep Method for Automatic Determination and Optimization of Microseismic P-Phase Arrival Times in a Coal Mine by Quanjie Zhu, Xiaohui Liu, Xiaoyun Liu, Haitao Chai, Jianjun Shi

Get full text

Machine learning–based feature prediction of convergence zones in ocean front environments by Weishuai Xu, Lei Zhang, Hua Wang

“…The model achieved an accuracy of 82.43% in predicting the convergence zone’s distance with an error of less than 1 km. Additionally, it attained a 77.1% accuracy in predicting the convergence zone’s width within a similar error range. …”
Get full text

Design and Validation of an Active Headrest System with Integrated Sensing in Rear-End Crash Scenarios by Alexandru Ionut Radu, Bogdan Adrian Tolea, Horia Beles, Florin Bogdan Scurt, Adrian Nicolaie Tusinean

“…The model achieved a root mean square error (RMSE) of 4.19 m/s² and a mean absolute percentage error (MAPE) of 0.71% when comparing head acceleration in frontal collision tests, confirming its high accuracy. …”
Get full text

Enhancing global aerosol retrieval from satellite data via deep learning with mutual information estimation by Xiaohu Sun, Yong Xue, Lin Sun

“…Transfer learning improves model generalization, yet its application in atmospheric research remains limited. Here, we introduce an innovative framework for retrieving global aerosol optical depth (AOD) which named the Aerosol domain-Adaptive Network (AAdaN). …”
Get full text

Longitudinal Motion System Identification of a Fixed-Wing Unmanned Aerial Vehicle Using Limited Unplanned Flight Data by Nuno M. B. Matos, André C. Marta

Get full text