Land degradation and early forms of desertification in both advanced economies and emerging countries reflect complex socio-environmental processes driven by multiple interactions between biophysical and socioeconomic...Land degradation and early forms of desertification in both advanced economies and emerging countries reflect complex socio-environmental processes driven by multiple interactions between biophysical and socioeconomic forces across different spatial scales.The present study investigates desertification risk,land degradation,and socio-demographic dynamics through the lens of“resilience,”adopting complex adaptive systems(CAS)thinking.The resilience of socio-environmental systems exposed to land degradation is defined as the capacity of a regional economy to respond to crises and reorganize by making changes to preserve functions,structure,and feedback,and to promote future development options.By reviewing the socioeconomic resilience of local socio-ecological systems exposed to land degradation,this study achieves a better comprehension of the multifaceted processes that lead to a higher risk of desertification and the intimate relationship with underlying population trends and demographic dynamics.A comprehensive approach based on resilience thinking was formulated to review both environmental and socio-demographic issues at the landscape scale,and provide a suitable foundation for sustainability science and regional development policies.展开更多
Ionic conductivity is a critical determinant of electrolyte performance in lithium-ion batteries,governing functionalities such as rate capability and low-temperature operability.Conventional optimizations,empirical o...Ionic conductivity is a critical determinant of electrolyte performance in lithium-ion batteries,governing functionalities such as rate capability and low-temperature operability.Conventional optimizations,empirical or simulation-based,face significant limitations in either resource efficiency or predictive ac-curacy.To address these challenges,we developed an interpretable machine learning(ML)framework that combines least absolute shrinkage and selection operator(LASSO)regression with SHapley Additive exPlanations analysis to elucidate structure-property relationships in multicomponent electrolytes.This framework proposes a novel descriptor,model-input-weighted sum of LASSo features,which quantitatively captures the collective influence of molecular characteristics on ionic conductivity.Our approach achieves state-of-the-art pre-dictive accuracy(RMSE=1.33 mS cm^(-1),R^(2)=0.88)while identifying two dominant molecular features:PEOE_VSA1,representing surface charge distribu-tion,and NumAtomStereoCenters,reflecting stereochemical complexity.This led to the design of an optimized ternary electrolyte(1 mo1 L^(-1)LiTFSI in MA:THF:DMF,5:3:2 molar ratio)demonstrating unprecedented conductivity values:15.74 mS cm^(-1)at 25°C and 2.69 mS cm^(-1)at-70°C.These results validate our framework's ability to guide the development of high-performance electrolytes for low-temperature applications.This study establishes a robust ML framework for accelerated electrolyte discovery,providing fundamental insights into molecular determinants of ionic conductivity.展开更多
From small matters of everyday life to big international affairs,“shishi事实,” or“fact” in English,is an indispensable word for people to talk about issues.What,then,do we mean by “fact”—a word that people ofte...From small matters of everyday life to big international affairs,“shishi事实,” or“fact” in English,is an indispensable word for people to talk about issues.What,then,do we mean by “fact”—a word that people often fail to articulate in certain situations?This article will explore the term “fact” by distinguishing its different meanings in the context of mutual learning between Chinese and Western interpretive frameworks.This exploration will contribute to a more profound and nuanced understanding of the philosophical issue of “right and wrong,” or “shi是and fei非.”展开更多
文摘Land degradation and early forms of desertification in both advanced economies and emerging countries reflect complex socio-environmental processes driven by multiple interactions between biophysical and socioeconomic forces across different spatial scales.The present study investigates desertification risk,land degradation,and socio-demographic dynamics through the lens of“resilience,”adopting complex adaptive systems(CAS)thinking.The resilience of socio-environmental systems exposed to land degradation is defined as the capacity of a regional economy to respond to crises and reorganize by making changes to preserve functions,structure,and feedback,and to promote future development options.By reviewing the socioeconomic resilience of local socio-ecological systems exposed to land degradation,this study achieves a better comprehension of the multifaceted processes that lead to a higher risk of desertification and the intimate relationship with underlying population trends and demographic dynamics.A comprehensive approach based on resilience thinking was formulated to review both environmental and socio-demographic issues at the landscape scale,and provide a suitable foundation for sustainability science and regional development policies.
基金the National Key Research and Development Program of China(2023YFB2405800)the Zhejiang Provincial Natural Science Foundation of China under Grant No.LZY23B030004.
文摘Ionic conductivity is a critical determinant of electrolyte performance in lithium-ion batteries,governing functionalities such as rate capability and low-temperature operability.Conventional optimizations,empirical or simulation-based,face significant limitations in either resource efficiency or predictive ac-curacy.To address these challenges,we developed an interpretable machine learning(ML)framework that combines least absolute shrinkage and selection operator(LASSO)regression with SHapley Additive exPlanations analysis to elucidate structure-property relationships in multicomponent electrolytes.This framework proposes a novel descriptor,model-input-weighted sum of LASSo features,which quantitatively captures the collective influence of molecular characteristics on ionic conductivity.Our approach achieves state-of-the-art pre-dictive accuracy(RMSE=1.33 mS cm^(-1),R^(2)=0.88)while identifying two dominant molecular features:PEOE_VSA1,representing surface charge distribu-tion,and NumAtomStereoCenters,reflecting stereochemical complexity.This led to the design of an optimized ternary electrolyte(1 mo1 L^(-1)LiTFSI in MA:THF:DMF,5:3:2 molar ratio)demonstrating unprecedented conductivity values:15.74 mS cm^(-1)at 25°C and 2.69 mS cm^(-1)at-70°C.These results validate our framework's ability to guide the development of high-performance electrolytes for low-temperature applications.This study establishes a robust ML framework for accelerated electrolyte discovery,providing fundamental insights into molecular determinants of ionic conductivity.
文摘From small matters of everyday life to big international affairs,“shishi事实,” or“fact” in English,is an indispensable word for people to talk about issues.What,then,do we mean by “fact”—a word that people often fail to articulate in certain situations?This article will explore the term “fact” by distinguishing its different meanings in the context of mutual learning between Chinese and Western interpretive frameworks.This exploration will contribute to a more profound and nuanced understanding of the philosophical issue of “right and wrong,” or “shi是and fei非.”
