Results 61 to 70 of about 31,789 (298)
Advanced Science, EarlyView.Nanocellulose, derived from microcrystalline cellulose (MCC) through sulfuric acid hydrolysis or mechanical grinding to produce CNC or CNF, was tested in a rat ICP model. Particularly, CNF improved gut microbiota composition, reduced secondary bile acid metabolism, and restored bile acid homeostasis through modulation of the gut–liver axis.
Muhua Yu +18 more
wiley +1 more source
Multi-Objective Optimal Gearshift Control for Multispeed Transmission Electric Vehicles
IEEE Access, 2020 Electric vehicles are being increasingly adopted worldwide to support the sustainable development of society. However, various technologies that are related to electric vehicles still require further investigation.
Yanwei Liu +4 more
doaj +1 more source
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017 10 pages, accepted at GECCO'17 as a poster paper (2 pages)
openaire +2 more sources
Advanced Science, EarlyView.ABSTRACT Triple‐negative breast cancer (TNBC) exhibits addiction to chronic endoplasmic reticulum (ER) stress, which sustains an aggressive metastatic phenotype through activation of the unfolded protein response (UPR). Here, we identify a previously unrecognized “ER‐stress addiction” axis in which the Hippo pathway effector TEAD4 directly ...
Yini Shang +9 more
wiley +1 more source
Construction of Generating Feasible Subsets in the Knapsack Problem
Доклады Белорусского государственного университета информатики и радиоэлектроникиA method for constructing a group of generating feasible subsets in the knapsack problem under the condition that the non-dominance depth of a given Pareto layer is greater than zero is developed.
S. V. Chebakov, L. V. Serebryanaya
doaj +1 more source
Reliability-based multiobjective optimization using the satisficing trade-off method
Mechanical Engineering Journal, 2014 This study proposes a reliability-based multiobjective optimization (RBMO) approach using the satisficing trade-off method (STOM). STOM is a multiobjective optimization method that obtains a highly accurate single Pareto solution, regardless of the shape
Nozomu KOGISO +2 more
doaj +1 more source
Estimation of the Parameters of the New Weibull-Pareto Distribution Using Ranked Set Sampling
Statistica, 2020 The method of maximum likelihood estimation based on ranked set sampling (RSS) and some of its modifications is used to estimate the unknown parameters of the new Weibull-Pareto distribution.
Monjed H. Samuh +2 more
doaj +1 more source
Design of Fuzzy Classification System Based on Pareto Firework Algorithm [PDF]
Jisuanji gongcheng, 2017 In order to increase the accuracy of the fuzzy model,a fuzzy classification model based on firework algorithm and Pareto optimal solution set is proposed.The fuzzy clustering method is applied to build the initial fuzzy model,and the structure and para ...
LUO Yong,GUO Yamo,LIU Chong
doaj +1 more source
Breaking the Toughness‐Stretchability Trade‐Off in Hydrogels with Dynamic Hydrogen Bonding
Advanced Science, EarlyView.A novel nanocomposite hydrogel architecture overcomes the inherent conflict between toughness and stretchability by integrating uniformly dispersed aminopropyl‐hybrid‐phyllosilicate nanosheets within a polyacrylamide matrix. This design leverages a dynamic hydrogen‐bonding network to facilitate efficient energy dissipation and self‐recovery.
Yining Gao +3 more
wiley +1 more source
Results in Control and OptimizationThis paper focuses on the multi-objective Travelling Salesman Problem for which the aim is to find the set of efficient solutions. To obtain this Pareto set's solutions, a novel metaheuristic named DM4-PMO is proposed.
Souhail Dhouib +3 more
doaj +1 more source