Intra-annual climatic variability plays a critical role in regulating wood formation dynamics during the growing season,particularly in seasonally arid regions—such as the Qinling Mountains,China,and Mediterranean fo...Intra-annual climatic variability plays a critical role in regulating wood formation dynamics during the growing season,particularly in seasonally arid regions—such as the Qinling Mountains,China,and Mediterranean forests—where trees exhibit bimodal radial growth patterns as an adaptive response to water stress.While these growth patterns reflect immediate climatic conditions,the role of ecological memory,specifically vegetation growth carryover(VGC)and lagged climate effects(LCEs),remains poorly quantified.We employed the Vaganov–Shashkin(VS)model to analyze intra-annual bimodal growth patterns in two regions and used a vector autoregressive model with impulse response functions to assess the duration and intensity of VGC and LCE on tree-ring growth and remote sensing vegetation indices(leaf area index(LAI)and gross primary productivity(GPP)).Our results revealed bimodal growth patterns with spring and autumn peaks,but the autumn peak occurred earlier in the Qinling Mountains(August–October)than in Mediterranean forests(late September–October).VGC exerted the strongest influence on tree-ring growth in the first year,diminishing significantly after eight years in both regions(p<0.01).Tree-ring growth exhibited positive LCE responses to precipitation and soil moisture but negative responses to temperature(p<0.05).Remote sensing indices(LAI and GPP)displayed stronger VGC effects in the Qinling Mountains than in Mediterranean forests.While both LAI and GPP responded positively to soil moisture,temperature-induced LCE was positive in the Qinling Mountains but negative in the Mediterranean forests(p<0.05).Overall,VGC was the dominant ecological memory effect in both regions.Our results suggest that coupling the VGC and LCE of multiple vegetation growth indicators at multiple scales has the potential to improve the accuracy of global dynamic vegetation models.展开更多
Gastric cancer(GC)represents a significant global health burden due to its high morbidity and mortality.Specific behaviors of GC sub-types,distinct dissem-ination patterns,and associated risk-factors remain poorly und...Gastric cancer(GC)represents a significant global health burden due to its high morbidity and mortality.Specific behaviors of GC sub-types,distinct dissem-ination patterns,and associated risk-factors remain poorly understood.This editorial highlights several key prognostic factors,including pathological staging and vascular invasion,that impact GC.It examines a recent study’s investigation of differential metastatic lymph nodes distribution and survival in upper and lower GC sub-types,focusing on histological characterization,pathophysiology,usage of neoadjuvant chemotherapy,and additional predictive determinants.We assess the statistical robustness and clinical applicability of the findings,un-derscoring the importance of treating GC as a heterogeneous disease and em-phasizing how tailored surgical approaches informed by lymph node distribution can optimize tumor detection while minimizing unnecessary interventions.The study’s large cohort,multi-center design,and strict inclusion criteria strengthen its validity in guiding surgical planning and risk-stratification.However,inte-grating genetic and molecular data is critical for refining models and broadening applicability.Additionally,recurrence-metrics and infection-related factors,such as Helicobacter pylori and Epstein-Barr virus,absent in the original study,remain vital for directing future research.By bridging metastatic patterns with pros-pective methodologies and inclusion of diverse populations,this editorial pro-vides a framework for advancing early detection and personalized GC care.展开更多
Accurate water level measurement in nuclear reactors,particularly in PWRs(pressurized water reactors)and BWRs(boiling water reactors),is essential for ensuring the safety and efficiency of reactor operations.K-type HJ...Accurate water level measurement in nuclear reactors,particularly in PWRs(pressurized water reactors)and BWRs(boiling water reactors),is essential for ensuring the safety and efficiency of reactor operations.K-type HJTCs(heated junction thermocouples)are widely used for this purpose due to their ability to withstand extreme temperatures and radiation conditions.This article explores the role of HJTCs in reactor water level measurement and compares the performance of 2-wire and 3-wire connections.While the 2-wire connection is simple and cost-effective,it can introduce measurement inaccuracies due to wire resistance.In contrast,the 3-wire connection compensates for lead resistance,offering more precise and reliable measurements,particularly in long-distance applications.This paper discusses the operational considerations of these wiring configurations in the context of nuclear reactors and highlights the importance of choosing the appropriate connection type to optimize safety and measurement accuracy in PWR and BWR reactors.展开更多
深入探讨了一种嵌入式云开发平台的虚拟机管理技术,通过结合Visual Studio Code插件开发框架、Spring Boot、Libvirt、QEMU等技术,实现了基于QEMU的虚拟机创建、销毁、重启等操作。详细介绍了该系统的设计与实现,包括虚拟机管理模块的...深入探讨了一种嵌入式云开发平台的虚拟机管理技术,通过结合Visual Studio Code插件开发框架、Spring Boot、Libvirt、QEMU等技术,实现了基于QEMU的虚拟机创建、销毁、重启等操作。详细介绍了该系统的设计与实现,包括虚拟机管理模块的架构设计、功能实现及技术细节。基于该研究成果,嵌入式开发人员可以在云开发平台中直接进行虚拟机管理操作,从而提高嵌入式系统开发的效率和便捷性。展开更多
The Cathaysia block in Southeast China has undergone complex compression,collision and tectonic evolution processes,which have led to the formation of rich granites and polymetallic ores.However,its history of crustal...The Cathaysia block in Southeast China has undergone complex compression,collision and tectonic evolution processes,which have led to the formation of rich granites and polymetallic ores.However,its history of crustal evolution and metallogenic mechanisms remain unclear.To explore the deep geodynamic processes in the central Cathaysia block,we deployed a dense broadband seismic array with a station interval of~5 km from July 2017 to August 2020.This seismic array,composed of 80 portable stations,traverses the Nanling and Wuyi metallogenic belts and crosses four deep faults.We employ the teleseismic receiver-function method to estimate the crustal thickness and vP/vS ratio beneath the seismic array.Our results reveal a distinct negative correlation between the crustal thickness and the vP/vS ratio within the crust,which might be closely associated with crustal deformation.The average crustal thickness is~30 km,indicating that the crust was thinned under an extensional environment.However,the crust beneath the Wuyi belt is slightly thicker and has a lower vP/vS ratio than its adjacent areas,which may reflect thickening of the upper crust due to its ductility and lithospheric delamination.展开更多
数据是智能电网建设的战略资源乃至主要驱动力。如何处理智能电网中呈现海量、多样、实时、真实等4个特征的4 Vs数据,并从中提取信息,是电力系统大数据建设所面临的核心问题。描述了大数据的特征和引入了随机矩阵理论作为基础,以及提出...数据是智能电网建设的战略资源乃至主要驱动力。如何处理智能电网中呈现海量、多样、实时、真实等4个特征的4 Vs数据,并从中提取信息,是电力系统大数据建设所面临的核心问题。描述了大数据的特征和引入了随机矩阵理论作为基础,以及提出电力系统大数据的应用思路和架构。具体电力应用方面,介绍了所开发的早期事件发现、事件诊断和定位、相关性分析、可视化3D Power Map辅助展示等一系列功能。在此基础上,建立起以随机矩阵为理论基础,以数据为主要驱动力的电力系统认知体系框架,并探讨其与传统经典认知方案的区别。进一步设计案例考查了其对坏数据的鲁棒能力,其结果表明,随机矩阵理论这种工具可以有效地处理电网中的复杂数据,具有很好的学术研究意义和工程应用价值。另通过仿真算例验证了随机矩阵方案对数据异步的鲁棒性。展开更多
基金supported by the National Natural Science Foundation of China(Nos.42277448,42330501,41971104,and 41807431)。
文摘Intra-annual climatic variability plays a critical role in regulating wood formation dynamics during the growing season,particularly in seasonally arid regions—such as the Qinling Mountains,China,and Mediterranean forests—where trees exhibit bimodal radial growth patterns as an adaptive response to water stress.While these growth patterns reflect immediate climatic conditions,the role of ecological memory,specifically vegetation growth carryover(VGC)and lagged climate effects(LCEs),remains poorly quantified.We employed the Vaganov–Shashkin(VS)model to analyze intra-annual bimodal growth patterns in two regions and used a vector autoregressive model with impulse response functions to assess the duration and intensity of VGC and LCE on tree-ring growth and remote sensing vegetation indices(leaf area index(LAI)and gross primary productivity(GPP)).Our results revealed bimodal growth patterns with spring and autumn peaks,but the autumn peak occurred earlier in the Qinling Mountains(August–October)than in Mediterranean forests(late September–October).VGC exerted the strongest influence on tree-ring growth in the first year,diminishing significantly after eight years in both regions(p<0.01).Tree-ring growth exhibited positive LCE responses to precipitation and soil moisture but negative responses to temperature(p<0.05).Remote sensing indices(LAI and GPP)displayed stronger VGC effects in the Qinling Mountains than in Mediterranean forests.While both LAI and GPP responded positively to soil moisture,temperature-induced LCE was positive in the Qinling Mountains but negative in the Mediterranean forests(p<0.05).Overall,VGC was the dominant ecological memory effect in both regions.Our results suggest that coupling the VGC and LCE of multiple vegetation growth indicators at multiple scales has the potential to improve the accuracy of global dynamic vegetation models.
文摘Gastric cancer(GC)represents a significant global health burden due to its high morbidity and mortality.Specific behaviors of GC sub-types,distinct dissem-ination patterns,and associated risk-factors remain poorly understood.This editorial highlights several key prognostic factors,including pathological staging and vascular invasion,that impact GC.It examines a recent study’s investigation of differential metastatic lymph nodes distribution and survival in upper and lower GC sub-types,focusing on histological characterization,pathophysiology,usage of neoadjuvant chemotherapy,and additional predictive determinants.We assess the statistical robustness and clinical applicability of the findings,un-derscoring the importance of treating GC as a heterogeneous disease and em-phasizing how tailored surgical approaches informed by lymph node distribution can optimize tumor detection while minimizing unnecessary interventions.The study’s large cohort,multi-center design,and strict inclusion criteria strengthen its validity in guiding surgical planning and risk-stratification.However,inte-grating genetic and molecular data is critical for refining models and broadening applicability.Additionally,recurrence-metrics and infection-related factors,such as Helicobacter pylori and Epstein-Barr virus,absent in the original study,remain vital for directing future research.By bridging metastatic patterns with pros-pective methodologies and inclusion of diverse populations,this editorial pro-vides a framework for advancing early detection and personalized GC care.
文摘Accurate water level measurement in nuclear reactors,particularly in PWRs(pressurized water reactors)and BWRs(boiling water reactors),is essential for ensuring the safety and efficiency of reactor operations.K-type HJTCs(heated junction thermocouples)are widely used for this purpose due to their ability to withstand extreme temperatures and radiation conditions.This article explores the role of HJTCs in reactor water level measurement and compares the performance of 2-wire and 3-wire connections.While the 2-wire connection is simple and cost-effective,it can introduce measurement inaccuracies due to wire resistance.In contrast,the 3-wire connection compensates for lead resistance,offering more precise and reliable measurements,particularly in long-distance applications.This paper discusses the operational considerations of these wiring configurations in the context of nuclear reactors and highlights the importance of choosing the appropriate connection type to optimize safety and measurement accuracy in PWR and BWR reactors.
文摘深入探讨了一种嵌入式云开发平台的虚拟机管理技术,通过结合Visual Studio Code插件开发框架、Spring Boot、Libvirt、QEMU等技术,实现了基于QEMU的虚拟机创建、销毁、重启等操作。详细介绍了该系统的设计与实现,包括虚拟机管理模块的架构设计、功能实现及技术细节。基于该研究成果,嵌入式开发人员可以在云开发平台中直接进行虚拟机管理操作,从而提高嵌入式系统开发的效率和便捷性。
基金co-supported by the National Key Research and Development Program of China(No.2016YFC0600201)the National Natural Science Foundation of China(Nos.41974060 and 41630320)the Fundamental Research Funds for the Central Universities(No.2-9-2019-037).
文摘The Cathaysia block in Southeast China has undergone complex compression,collision and tectonic evolution processes,which have led to the formation of rich granites and polymetallic ores.However,its history of crustal evolution and metallogenic mechanisms remain unclear.To explore the deep geodynamic processes in the central Cathaysia block,we deployed a dense broadband seismic array with a station interval of~5 km from July 2017 to August 2020.This seismic array,composed of 80 portable stations,traverses the Nanling and Wuyi metallogenic belts and crosses four deep faults.We employ the teleseismic receiver-function method to estimate the crustal thickness and vP/vS ratio beneath the seismic array.Our results reveal a distinct negative correlation between the crustal thickness and the vP/vS ratio within the crust,which might be closely associated with crustal deformation.The average crustal thickness is~30 km,indicating that the crust was thinned under an extensional environment.However,the crust beneath the Wuyi belt is slightly thicker and has a lower vP/vS ratio than its adjacent areas,which may reflect thickening of the upper crust due to its ductility and lithospheric delamination.
文摘数据是智能电网建设的战略资源乃至主要驱动力。如何处理智能电网中呈现海量、多样、实时、真实等4个特征的4 Vs数据,并从中提取信息,是电力系统大数据建设所面临的核心问题。描述了大数据的特征和引入了随机矩阵理论作为基础,以及提出电力系统大数据的应用思路和架构。具体电力应用方面,介绍了所开发的早期事件发现、事件诊断和定位、相关性分析、可视化3D Power Map辅助展示等一系列功能。在此基础上,建立起以随机矩阵为理论基础,以数据为主要驱动力的电力系统认知体系框架,并探讨其与传统经典认知方案的区别。进一步设计案例考查了其对坏数据的鲁棒能力,其结果表明,随机矩阵理论这种工具可以有效地处理电网中的复杂数据,具有很好的学术研究意义和工程应用价值。另通过仿真算例验证了随机矩阵方案对数据异步的鲁棒性。
