the National Natural Science Foundation of China[Grant No.52270183].
Exploring the factors driving the decoupling of China’s sulfur dioxide(SO_(2))emissions from economic growth(DEI)is crucial for achieving sustainable development.By analyzing the decoupling indicators and driving fac...
supported by National Natural Science Foundation of China(grants 52122213 and 52203294);Shanghai Pilot Program for Basic Research-Chinese Academy of Science,Shanghai Branch(JCYJ-SHFY-2022-002).
Recently,AgSbTe_(2)-based ternary chalcogenides have attracted great attention in thermoelectric community due to their high figure-of-merits at the middle-temperature range,but their stability has raised huge controv...
Supported by National Key R&D Program of China(Grant No.102022YFA1003701);National Natural Science Foundation of China(Grant No.12271472,12231017,12001479);Natural Science Foundation of Yunnan Province(Grant No.202101AU070073,202201AT070101)。
Quantile regression is widely used in variable relationship research for statistical learning.Traditional quantile regression model is based on vector-valued covariates and can be efficiently estimated via traditional...
This paper presents an estimation of transient stability regions for large-scale power systems.In Part I,a Koopman operator based model reduction(KOMR)method is proposed to derive a low-order dynamical model with reas...
Biogas production is an excellent solution to the problem of processing biological waste from livestock farms and generating additional profits for farming enterprises. Due to such a recycling cycle, it becomes possib...
sponsored by the National Natural Science Foundations of China under Grant Nos.12301315,12235007,11975131;the Zhejiang Provincial Natural Science Foundation of China under Grant No.LQ20A010009。
In the realm of nonlinear integrable systems,the presence of decompositions facilitates the establishment of linear superposition solutions and the derivation of novel coupled systems exhibiting nonlinear integrabilit...
supported by the National Natural Science Foundation of China(No.62066016);the Natural Science Foundation of Hunan Province of China(No.2023JJ2279);the Scientific Research Project of Education Department of Hunan Province of China(Nos.22B0549 and 22C0282);the Postgraduate Scientific Research Innovation Project of Hunan Province(No.CX20231088);the Fundamental Research Grant Scheme of Malaysia(No.R.J130000.7809.5F524);the UTMFR Grant Research Management Center(RMC)of Universiti Teknologi Malaysia(UTM)(No.Q.J130000.2551.20H71)。
The state space explosion,a challenge analogous to that encountered in a Petri net(PN),has constrained the extensivestudy of fuzzy Petri nets(FPNs).Current reasoning algorithms employing FPNs,which operate through for...
supported by the National Natural Science Foundation of China(No.U20A2047);the Key Research and Development Project for Tibet Autonomous Region(No.XZ202201ZY0003N);the National Key Research and Development Program of China(No.2022YFD1901402);the Lasa Science and Technology Bureau(No.LSKJ202206);the Foundation of Graduate Research and Innovation in Chongqing(No.CYB22127).
The land application of livestock manure has been widely acknowledged as a beneficial approach for nutrient recycling and environmental protection.However,the impact of residual antibiotics,a common contaminant of man...
supported by the National Natural Science Foundation of China(No.62206143);the Key Research and Development and Promotion Special Project in Henan Province(Nos.222102210141 and 232102211015)。
In this study,we present a unified sparsity-driven framework that significantly enhances motion deblurring performance by integrating two key components:a custom-designed dataset and a low-rank module(LRM).This framew...
supported by National Natural Science Foundations of China(nos.12271326,62102304,61806120,61502290,61672334,61673251);China Postdoctoral Science Foundation(no.2015M582606);Industrial Research Project of Science and Technology in Shaanxi Province(nos.2015GY016,2017JQ6063);Fundamental Research Fund for the Central Universities(no.GK202003071);Natural Science Basic Research Plan in Shaanxi Province of China(no.2022JM-354).
The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition...