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Multi-scale validation strategy for satellite albedo products and its uncertainty analysis

Science China Earth Sciences 2015年第1期58卷 573-588页

作者： PENG JingJing LIU Qiang WEN JianGuang LIU QinHuo TANG Yong WANG Lizhao DOU BaoCheng YOU DongQin SUN ChangKui zhao xiaojie FENG YouBin SHI Jian State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences College of Global Change and Earth System Science Beijing Normal University

Coarse-resolution satellite albedo products are important for climate change and energy balance research because of their capability to characterize the spatiotemporal patterns of land surface parameters at both the regional and global scales. The accuracy of coarse-resolution products is usually assessed via comparison with in situ measurements. The key issue in the comparison of remote sensing observations with in situ measurements is scaling and uncertainty. This paper presents a strategy for validating 1-km-resolution remote sensing albedo products using field measurements and high-resolution remote sensing observations. Field measurements were collected to calibrate the high-resolution(30 m) albedo products derived from HJ-1a/b images. Then, the calibrated high-resolution albedo maps were resampled(i.e., upscaled) to assess the accuracy of the coarse-resolution albedo products. The samples of field measurements and high-resolution pixels are based on an uncertainty analysis. Two types of coarse-resolution albedo datasets, from global land surface satellite(GLASS) and moderate-resolution imaging spectroradiometer(MODIS), are validated over the middle reaches of the Heihe River in China. The results indicate that the upscaled HJ(Huan Jing means environment in Chinese and this refers to a satellite constellation designed for environment and disaster monitoring by China) albedo, which was calibrated using field measurements, can provide accurate reference values for validating coarse-resolution satellite albedo products. However, the uncertainties in the upscaled HJ albedo should be estimated, and pixels with large uncertainties should be excluded from the validation process.

关键词：不确定性分析验证过程卫星星座反照率产品高分辨率卫星多尺度中分辨率成像光谱仪

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Cold environments and human metabolism: A traditional chinese medicine perspective

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Frigid Zone Medicine 2024年第2期4卷 78-95页

作者： Tengyu zhao Yifu Ma Jian Zhang xiaojie Zhou Yanyan Zhou Jingdong Yan Heilongjiang University of Chinese Medicine Harbin 150040China The First Clinical Hospital affiliated to Heilongjiang University of Chinese Medicine Harbin 150040China

The concept of Traditional Chinese Medicine(TCM)emphasizes the intrinsic connection between human beings and nature,positing that the human body undergoes distinct physiological changes in response to various natural ***,as a primary external factor in cold areas,necessitates the body's autonomous adaptation to uphold optimal living *** repercussions of cold on the body are both far-reaching and profound,with metabolic equilibrium adjustments playing a pivotal *** article,rooted in the TCM principle of Yin-Yang balance,delves into the metabolic intricacies and adaptive responses to the human body in cold *** effects manifest in heat-producing tissues,systemic substance consumption,the blood substance concentrations,liver function,and metabolic *** article subsequently presents TCM recommendations for maintaining health in cold *** concludes by advocating the exploration of metabolic homeostasis changes as a key avenue for investigating the metabolic traits s of populations in cold *** posit that such insights will enhance comprehension of the metabolic shifts in cold region populations and advance the evolution of regional medicine.

关键词： cold environment metabolism Traditional Chinese Medicine homeostasis Yin-Yang balance

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Research on Path Optimization of Implementing Budget Performance Management in Higher Vocational Colleges

Research on Path Optimization of Implementing Budget Perform...

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作者： xiaojie zhao ZiBo Vocational Institute

Since the reform and opening up, China has paid more and more attention to education and increased the investment in education. In the past, remote and poor mountainous areas had no classrooms at all, letting alone teachers. Now, almost every village or mountain area has its own classroom. The students’ sound of reading and the teachers’ tireless teaching are enough to show the progress and development of China’s educational cause. Our schools are divided into private schools and public schools. For public schools, the state policy is much higher than that of private schools. Every public school enjoys the financial allocation of the state, which is used for various expenses of the school. However, due to the poor management of the school, it will be unclear of the use of the funds, which puts forward more and more requirements for higher vocational colleges. This paper studies and analyzes the path optimization of implementing budget performance management in higher vocational colleges, puts forward corresponding solutions and expounds its important significance.

关键词： Budget Performance Management Measures and Significance Higher Vocational Colleges

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Functional Near-Infrared Spectroscopy Neurofeedback of Cortical Target Enhances Hippocampal Activation and Memory Performance

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Neuroscience Bulletin 2021年第8期37卷 1251-1255页

作者： Xin Hou Xiang Xiao Yilong Gong Yihan Jiang Peipei Sun Juan Li Zheng Li xiaojie zhao Li Yao Antao Chen Chaozhe Zhu State Key Laboratory of Cognitive Neuroscience and Learning&IDG/McGovern Institute for Brain Research Beijing Normal UniversityBeijing100875China CAS Key Laboratory of Mental Health Center on Aging PsychologyInstitute of PsychologyBeijing100101China State Key Laboratory of Cognitive Neuroscience and Learning Center for Cognition and NeuroergonomicsBeijing Normal University at ZhuhaiZhuhai519085China Center for Collaboration and Innovation in Brain and Learning Sciences Beijing Normal UniversityBeijing100875China College of Information Science and Technology Beijing Normal UniversityBeijing100875China Key Laboratory of Cognition and Personality of the Ministry of Education Faculty of PsychologySouthwest UniversityChongqing400715China

Dear Editor,Neuromodulation,a rapidly expanding field attracting wide attention over recent decades,facilitates human cognition,behavior,and pathology by modifying the activity of specific neural *** brain functions can be modified by exogenous brain neuromodulation techniques that deliver physical energy(e.g.,electrical current or magnetic pulses)into the brain[1],such as deep brain stimulation,transcranial magnetic stimulation,and tran-scranial direct current stimulation.

关键词： stimulation Infrared attracting

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“双碳”目标下农业“土-能-粮-废”关联作用与影响机制

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中国人口·资源与环境 2023年第11期33卷 67-77页

作者：于博刘雪晴赵晓杰孙华南京农业大学公共管理学院江苏南京210095 南京农业大学中国资源环境与发展研究院江苏南京210095 根特大学地理学院比利时根特B-9000

在碳达峰碳中和背景下,探讨农业“土-能-粮-废”关联作用与影响机制对于提升系统固碳减排和资源支撑能力,推动农业低碳可持续发展和实现“双碳”目标具有重要意义。该研究以农业部门的土地、粮食、能源和废弃物资源的系统关联为切入点,... 详细信息

在碳达峰碳中和背景下,探讨农业“土-能-粮-废”关联作用与影响机制对于提升系统固碳减排和资源支撑能力,推动农业低碳可持续发展和实现“双碳”目标具有重要意义。该研究以农业部门的土地、粮食、能源和废弃物资源的系统关联为切入点,采用文献分析与归纳方法,梳理“土-能-粮-废”关联与农业固碳减排的研究热点和发展脉络,总结作用机制并展望未来研究趋势。研究结果表明:(1)国内外的关联研究热点由单元要素分析逐步转向多元系统性应对框架的构建及解析,单向要素关联需向循环闭合关联研究转变。(2)农业领域土地、能源、粮食和废弃物的资源调配同“双碳”政策压力下的环境和经济冲突识别已成为新的研究趋势,相对于更改资源利用的传统治理方式而言,资源要素协调、配置优化以及系统治理成为解决出路之一。(3)农业“土-能-粮-废”的关联作用与影响机制研究兼具自然科学和社会科学视角,该研究分别从碳氮元素生命周期、农业生产经营模式、行为经济与社会决策、系统资源配置优化、外部联系与影响因素等视角开展,并总结了自然、环境、社会经济及政策压力等因素对关联研究的作用机制。(4)加强多学科融合可以促进关联机制理论创新、完善研究内容,并综合考虑多利益相关主体之间的行为博弈和权衡。最后,在关联研究与现代农业农村发展之间的联系、不同发展背景下的关联研究变动、关联评估优化及研究方法更新三个方面提出研究展望。研究结果深化了对农业资源关联与固碳减排关系的理解,为优化资源调配、制定低碳政策以及实现“双碳”目标提供了参考依据。

关键词： “双碳” 农业 “土-能-粮-废” 关联研究作用机制

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基于联合熵的多视图集成聚类分析

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计算机工程 2023年第10期49卷 112-119页

作者：赵晓杰牛雪莹张继福太原科技大学计算机科学与技术学院太原030024

多视图方法可使问题分析的角度更加全面,并且能有效利用各个视图间的相关信息和互补信息,因而多视图聚类分析已成为机器学习与模式识别等领域的研究热点之一。但在多视图集成聚类分析中,基聚类簇作为基聚类中的一个类簇,包含若干相似数... 详细信息

多视图方法可使问题分析的角度更加全面,并且能有效利用各个视图间的相关信息和互补信息,因而多视图聚类分析已成为机器学习与模式识别等领域的研究热点之一。但在多视图集成聚类分析中,基聚类簇作为基聚类中的一个类簇,包含若干相似数据对象,其疏密程度仅能体现数据自身分布特性,并不能体现基聚类簇质量。利用联合熵来评估基聚类簇的不确定性及质量,提出一种多视图集成聚类分析方法。利用联合熵评估基聚类簇的质量,通过基聚类簇不确定性指数体现基聚类簇的重要程度与质量优劣。利用基聚类簇不确定性指数构造一种加权共协矩阵,提出一种多视图集成聚类算法(MVECJE),改善多视图集成聚类分析的性能。通过实验验证聚类簇权重在多视图集成聚类分析中的重要程度,表明其能改善集成聚类性能。在MSRC-v1、Caltech101-7、Handwritten numerals(HW)图像数据集和Reuters文本数据集上,采用CoregSC、AWGL、MMSC、DIMSC、COMVSC、MVKKM和CWK2M作为对比算法进行实验,结果表明,在NMI、ACC、ARI评价指标上,MVECJE算法具有明显的优势,其中在HW数据集上3个评价指标均高于0.93。

关键词：多视图集成聚类基聚类簇权重加权共协矩阵联合熵

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Sintering Mechanism of Stainless Steel in Powder Injection Molding

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International Journal of Minerals,Metallurgy and Materials 2000年第1期14卷 51-54页

作者： Chengchang Jia Shimin Fan Ying Peng xiaojie zhao Xiaosen lu Material Science and Engineering School, University of Science and Technology Beijing, Beijing 100083, China Beijing Tungsten and Molybdenum Factory, Beijing 102206, China Beijing Hard Me Material Science and Engineering School University of Science and Technology Beijing Beijing 100083 China Beijing Tungsten and Molybdenum Factory Beijing 102206 China Beijing Hard Metal Factory Beijing 100055 China

Stainless steel samples were made by Powder injection Molding (PIM) process with-400 mesh powder in order to investigate the sintering mechanism in this system and develop the PIM of stainless steels. The process included mixing, injection molding, debin- ding and sintering. Neck growth model was used to analyze the sintering mechanism. The results show that lattice (volume) diffusion is the main mechanism in the sintering process, the products with higher density (>95%) and properties are obtained. At lower temperatures, grain boundary diffusion may play a role in the sintering densification.

关键词： sintering mechanism powder injection molding stainless steel, volume diffusion

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江苏省耕地土壤重金属健康风险强度空间集聚特征及影响因素

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资源科学 2023年第1期45卷 174-189页

作者：姬超侯大伟赵晓杰于博包广静吴锋孙华南京农业大学土地管理学院南京210095 东北农业大学公共管理与法学院哈尔滨150030 云南财经大学物流与管理工程学院昆明650221 中国科学院地理科学与资源研究所北京100101

【目的】在健康中国战略深入实施背景下,环境健康风险已逐步融入到土壤污染防治过程中,如何揭示省域土壤重金属健康风险强度的空间集聚特征和影响因素,对于维护土壤资源可持续利用、完善风险防控体系和保障区域人群健康至关重要。【方... 详细信息

【目的】在健康中国战略深入实施背景下,环境健康风险已逐步融入到土壤污染防治过程中,如何揭示省域土壤重金属健康风险强度的空间集聚特征和影响因素,对于维护土壤资源可持续利用、完善风险防控体系和保障区域人群健康至关重要。【方法】本文在优化了US EPA健康风险评估模型的基础上,明晰了江苏省耕地土壤重金属健康风险特征因子和不同县区健康风险强度,从地理学视角构建了包括加权标准差椭圆、莫兰指数和地理探测器在内的空间分析方法体系,揭示了健康风险强度的空间集聚特征和影响因素,并探讨了江苏省耕地土壤重金属健康风险管控对策。【结果】结果表明:(1)Cr、Pb和As是江苏省耕地土壤重金属健康风险特征因子,且对应的儿童致癌风险高于10^(-6)的点位占比分别为99.97%、74.24%和98.39%;(2)Cr、Pb和As在不同县域的健康风险强度变化范围为0.0158~0.6532、0.0002~0.0466和0.0025~0.3859,对应的综合健康风险强度变化范围为0.0256~1.0399,且江苏省北部县区对于其健康风险强度具有较高的影响,对应的影响程度顺序为As>Cr>Pb;(3)Cr、Pb、As及综合健康风险强度具有显著空间集聚特征,对应的全局莫兰指数分别为0.084、0.053、0.225和0.143,且以HH和LL空间聚类为主,其类型区数量占4种类型区的68.18%。(4)地均化肥施用量、居民受教育程度、道路密度和地均GDP等4个探测因子的q值均大于0.3,对于重金属健康风险强度的空间分异有较高的解释度,且探测因子间呈现出非线性增强和双因子增强作用。【结论】江苏省耕地土壤重金属健康风险强度评价与分析为环境与健康研究提供了新的思路,研究结果可为江苏省耕地土壤重金属健康风险管控策略的制定提供现实依据。

关键词：健康风险强度重金属耕地土壤地理探测器江苏省

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