Accurate quantification of tree populations within regions is critical for evaluating forest ecosystem conditions and developing effective forest management strategies[1].High-quality tree census data,collected throug...Accurate quantification of tree populations within regions is critical for evaluating forest ecosystem conditions and developing effective forest management strategies[1].High-quality tree census data,collected through field surveys and remote sensing technologies,is fundamental to China's sustainable development and environmental conservation initiatives.This data facilitates the monitoring of forest structural changes,carbon sequestration dynamics,and ecosystem health evaluations.Notably,China maintains the world's largest managed forest area,achieved through comprehensive national afforestation and reforestation programs[2,3].Consequently,precise tree enumeration is crucial for formulating effective forest management policies,monitoring and protecting wildlife habitats,and preventing natural disasters in China.展开更多
Achieving targeted microstructures through composition design is a core challenge in developing structural materials for high-performance applications.This study introduces a multiscale Integrated Computational Materi...Achieving targeted microstructures through composition design is a core challenge in developing structural materials for high-performance applications.This study introduces a multiscale Integrated Computational Materials Engineering(ICME)framework that combines CALPHAD-based thermodynamic modeling,machine learning,molecular dynamics,and diffusion kinetics to link alloy chemistry to microstructural evolution.Machine learning models trained on 750,000 CALPHAD-derived datapoints enabled rapid screening of two billion compositions based on thermodynamic criteria.An advanced screening step incorporated nanoscale physical descriptors that capture mechanisms governing precipitate coarsening and dynamic recrystallization.Applied towroughtNi-based superalloys,the framework identified twelve compositions predicted to form fine intragranularγ′precipitates within coarseγgrains;one was experimentally validated,with microscopy confirming the predicted microstructure.While demonstrated forNi-based systems,themethodology is broadlygeneralizable.This work highlights the power of integrating high-throughput composition screening with atomistic-scale evaluation to accelerate microstructure-driven materials design beyond equilibrium thermodynamics.展开更多
The landscape of tumor microenvironment(TME)research has un-dergone rapid transformation over the past decade.1,2 As we deepen our understanding of the TME’s role in cancer progression,immune response modulation,and ...The landscape of tumor microenvironment(TME)research has un-dergone rapid transformation over the past decade.1,2 As we deepen our understanding of the TME’s role in cancer progression,immune response modulation,and therapeutic efficacy,this special issue,“Tumor Microen-vironment and Immunotherapy:From Bench to Bedside,”brings forth the latest breakthroughs in these domains.It highlights the interplay be-tween the TME,immune system dynamics,and cancer therapies,with a particular emphasis on precision medicine and the development of targeted treatments.展开更多
基金supported by the National Key Research and Development Program of China(2022YFF1300203)the National Natural Science Foundation of China(42371329 and 32301285)。
文摘Accurate quantification of tree populations within regions is critical for evaluating forest ecosystem conditions and developing effective forest management strategies[1].High-quality tree census data,collected through field surveys and remote sensing technologies,is fundamental to China's sustainable development and environmental conservation initiatives.This data facilitates the monitoring of forest structural changes,carbon sequestration dynamics,and ecosystem health evaluations.Notably,China maintains the world's largest managed forest area,achieved through comprehensive national afforestation and reforestation programs[2,3].Consequently,precise tree enumeration is crucial for formulating effective forest management policies,monitoring and protecting wildlife habitats,and preventing natural disasters in China.
基金supported by the National Research Foundation of Korea(NRF)funded by theMinistry ofScience and ICT,Korea(NRF-2022R1A5A1030054 and RS-2024-00451579).
文摘Achieving targeted microstructures through composition design is a core challenge in developing structural materials for high-performance applications.This study introduces a multiscale Integrated Computational Materials Engineering(ICME)framework that combines CALPHAD-based thermodynamic modeling,machine learning,molecular dynamics,and diffusion kinetics to link alloy chemistry to microstructural evolution.Machine learning models trained on 750,000 CALPHAD-derived datapoints enabled rapid screening of two billion compositions based on thermodynamic criteria.An advanced screening step incorporated nanoscale physical descriptors that capture mechanisms governing precipitate coarsening and dynamic recrystallization.Applied towroughtNi-based superalloys,the framework identified twelve compositions predicted to form fine intragranularγ′precipitates within coarseγgrains;one was experimentally validated,with microscopy confirming the predicted microstructure.While demonstrated forNi-based systems,themethodology is broadlygeneralizable.This work highlights the power of integrating high-throughput composition screening with atomistic-scale evaluation to accelerate microstructure-driven materials design beyond equilibrium thermodynamics.
基金partially supported by grants from the Non-communicable Chronic Diseases-National Science and Technology Major Project(grant num-ber:2023ZD0510300)the National Natural Science Foundation of China(grant numbers:82403377,82473192).
文摘The landscape of tumor microenvironment(TME)research has un-dergone rapid transformation over the past decade.1,2 As we deepen our understanding of the TME’s role in cancer progression,immune response modulation,and therapeutic efficacy,this special issue,“Tumor Microen-vironment and Immunotherapy:From Bench to Bedside,”brings forth the latest breakthroughs in these domains.It highlights the interplay be-tween the TME,immune system dynamics,and cancer therapies,with a particular emphasis on precision medicine and the development of targeted treatments.
