Results 91 to 100 of about 590,423 (257)
ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek +8 more
wiley +1 more source
In this work, we investigate the result of dissipative analysis for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations via delay partition approach. By using the Lyapunov–Krasovskii functional and delay partition approach,
V. J. Nirmala +2 more
doaj +1 more source
Representation of uncertain multichannel digital signal spaces and study of pattern recognition based on metrics and difference values on fuzzy n-cell number spaces [PDF]
In this paper, we discuss the problem of characterization for uncertain multichannel digital signal spaces, propose using fuzzy n-cell number space to represent uncertain n-channel digital signal space, and put forward a method of constructing such fuzzy
Shi, Peng +8 more
core +2 more sources
A novel bias‐programmable shortwave infrared (SWIR) vision sensor is developed using multi‐junction colloidal quantum dots (QDs). Under varying applied voltage, the back‐to‐back rectifying junctions effectively tune trapping centers to switch the device between high‐speed photodetector and persistent synapse modes.
Zhuoyang He +6 more
wiley +1 more source
A Study of Winning Percentage in the MLB Using Fuzzy Markov Regression
In this study, we analyze the winning percentage of 16 teams that have participated in Major League Baseball since 1901. First, 69 variables for each team are classified into pitching, batting, and fielding using factor analysis, and then the effect of ...
Seung Hoe Choi, Seo-Kyung Ji
doaj +1 more source
Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
core +1 more source
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka +10 more
wiley +1 more source
In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang +20 more
wiley +1 more source
Detection of Fuzzy Association Rules by Fuzzy Transforms
We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
doaj +1 more source
DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang +24 more
wiley +1 more source

