Numerical and experimental methods for the assessment of a human finger-inspired soft pneumatic actuator for gripping applications [0.03%]
一种仿人手指的软气动夹爪执行器的数值和实验评估方法
Subraya Krishna Bhat,Deepak Doreswamy,Aman H Hegde et al.
Subraya Krishna Bhat et al.
The increasing demand for soft robotic systems in agricultural, biomedical and other applications has driven the development of actuators that can mimic the flexibility and adaptability of human muscles. Several studies have explored the de...
Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques [0.03%]
基于软分类技术的农业光谱重叠及异质性研究
Shubham Rana,Salvatore Gerbino,Petronia Carillo
Shubham Rana
This study explores the application of fuzzy soft classification techniques combined with vegetation indices to address spectral overlap and heterogeneity in agricultural image processing. The methodology focuses on the integration of three...
A new airtight sampling method for sulfur hexafluoride (SF6) in groundwater [0.03%]
一种新型的六氟化硫(SF6)地下水采样密封方法
Raka Sunderland,Dan Larsen,Scott Schoefernacker et al.
Raka Sunderland et al.
In the past 20 years, sulfur hexafluoride (SF6) has been considered a highly reliable tracer for assessing modern water (< 65 yrs old) in groundwater. However, modern-air contamination may introduce complications in interpreting data obtain...
Explore poverty with statistical modeling: The bivariate polynomial binary logit regression (BPBLR) [0.03%]
基于统计建模的贫困研究——双向多项式二元逻辑回归(BPBLR)模型及其应用
Vita Ratnasari,Purhadi,Marisa Rifada et al.
Vita Ratnasari et al.
Logit regression (or logistic regression) is a statistical analysis of categorical data. The binary responses have two categories. We present the Bivariate Polynomial Binary Logit Regression (BPBLR), which extends logit regression by modeli...
Exploring the frontiers of metal additive manufacturing in orthopaedic implant development [0.03%]
金属增材制造在骨科植入物开发中的前沿探索
Senthil Maharaj Kennedy,Vasanthanathan A,Amudhan K
Senthil Maharaj Kennedy
This paper provides a thorough analysis of recent advancements and emerging trends in the integration of metal additive manufacturing (AM) within orthopedic implant development. With an emphasis on the use of various metals and alloys, incl...
Corrigendum to "LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19" [MethodsX 10 (2023) 102194] [0.03%]
关于“作为快速、简单和经济的AI工具在COVID-19诊断和预后中的LogNNet模型”的勘误(2023年方法X第10卷102194页)
Mehmet Tahir Huyut,Andrei Velichko
Mehmet Tahir Huyut
[This corrects the article DOI: 10.1016/j.mex.2023.102194.]. © 2024 The Authors.
Published Erratum
MethodsX. 2024 Dec 12:14:103103. DOI:10.1016/j.mex.2024.103103 2024
Fabrication and optimization of a multielectrode microfluidic electrochemical flow cell for fast and dynamic detection of reaction products [0.03%]
一种用于快速动态检测反应产物的多电极微流体流动电解池的构建与优化
Espen Vinge Fanavoll,David A Harrington,Svein Sunde et al.
Espen Vinge Fanavoll et al.
Construction and experimental validation of electrochemical cells with multiple electrodes in a microfluidic channel is described. Details of the fabrication of the electrodes and polydimethylsiloxane channel using soft lithography methods ...
Wang Yiheng,Fadzli Mohamed Nazri,Ahmad Mohamad El-Maissi et al.
Wang Yiheng et al.
Slope instability represents a substantial secondary hazard post-earthquake, leading to considerable socio-economic losses from the destruction of structures, infrastructure, and human lives. This study addresses the urgent need for precise...
Enhanced parameter estimation for Lomax distribution using a contemporary triangular fuzzy ranking method [0.03%]
基于现代三角模糊排名法的洛马克斯分布参数估计改进算法
D Kalpanapriya,Pullooru Bhavana
D Kalpanapriya
This study presents a novel approach to parameter estimation for the Lomax distribution using a contemporary triangular fuzzy ranking method. The Lomax distribution is critical in reliability analysis and lifetime data modeling but often fa...
Modeling the hospitalization time of stroke patients at Abdul Wahab Sjahranie Hospital Samarinda using the Weibull Regression Model [0.03%]
使用Weibull回归模型预测三摩林达阿卜杜瓦哈布沙赫拉尼医院中风患者的住院时间
Suyitno,Darnah,Andrea Tri Rian Dani et al.
Suyitno et al.
The Weibull regression model is a regression model derived from the Weibull distribution, where the Weibull distribution is influenced by covariates. In this study, parameter estimation for the Weibull regression model was conducted using t...