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1959-2021年间热带雨林区域的蒸发皿蒸发量呈下降趋势

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Journal of Plant Ecology 2024年第1期17卷 1-16页

作者： yan Jin Ying Zhang Xin yang Mou Zhang Xin-Bo Guo yun Deng Yue-Hua Hu Hua-Zheng Lu Zheng-Hong Tan School of Ecology and Environmental Science Yunnan UniversityKunming 650091China International Center for Climate and Environment Sciences Institution of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglaMenglun 666303China Center for Plant Ecology Core Botanical GardensChinese Academy of SciencesMenglaMenglun 666303China

蒸发皿蒸发量(E_(pan))是衡量大气蒸发需求的重要指标。基于物理模型对西双版纳热带植物园中热带雨林综合气象观测场(XTBG气象站)的气象资料进行分析,有助于提高我们对西双版纳热带雨林区域水文循环状况的认识。本文利用1959-2021年的... 详细信息

蒸发皿蒸发量(E_(pan))是衡量大气蒸发需求的重要指标。基于物理模型对西双版纳热带植物园中热带雨林综合气象观测场(XTBG气象站)的气象资料进行分析,有助于提高我们对西双版纳热带雨林区域水文循环状况的认识。本文利用1959-2021年的观测资料,研究了E_(pan)的长期变化趋势,并进行了趋势检验、周期性评价和突变分析等相关分析。基于1979-2008年D20 E_(pan)数据和相关气象资料,利用Penman-Monteith和PenPan模型对E_(pan)进行模拟,采用偏微分归因法分析了影响E_(pan)的主导因素。研究结果表明,E_(pan)具有明显的周期变化,19 a为第一主周期。而且,西双版纳地区存在明显的‘蒸发悖论’现象。E_(pan)在1959-2008年和2009-2018年均呈下降趋势,其中1959-2008年下降幅度达到显著水平,为-3.404 mm·a^(-2)。通过对比分析,认为PenPan模型更适合用于模拟西双版纳地区的E_(pan)。为了确定影响E_(pan)的主要气象因子,选取了D20蒸发皿完整监测时期的数据(1979-2008)进行归因计算。太阳净辐射和饱和蒸汽压差的减小趋势可以有效抵消气温上升对E_(pan)的促进作用。因此,净辐射和饱和蒸汽压差的变化是西双版纳‘蒸发悖论’现象的主要触发因素。

关键词：蒸发皿蒸发量蒸发悖论 PenPan模型偏微分归因法驱动因素

Treatment of bilateral developmental dysplasia of the hip joint with an improved technique:A case report

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World Journal of Clinical Cases 2024年第7期12卷 1320-1325页

作者： Xing-Xing Yu Jian-Ye Chen Hong-Sheng Zhan Ming-Da Liu yun-Fei Li Yu-yan Jia College of Traditional Chinese Medicine Changchun University of Traditional Chinese MedicineChangchun 130117Jilin ProvinceChina Shi's Traumatology Medical Center Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China College of Traditional Chinese Medicine The Affiliated Hospital of Changchun University of Chinese MedicineChangchun 130021Jilin ProvinceChina

BACKGROUND Developmental dysplasia of the hip(DDH)is a common osteoarticular deformity in pediatric orthopedics.A patient with bilateral DDH was diagnosed and treated using our improved technique"(powerful overturning acetabuloplasty)"combined with femoral rotational shortening *** SUMMARY A 4-year-old girl who was diagnosed with bilateral DDH could not stand normally,and sought surgical treatment to solve the problem of double hip extension and *** this child had high dislocation of the hip joint and the acetabular index was high,we changed the traditional acetabuloplasty to"powerful turnover acetabuloplasty"combined with femoral rotation shortening *** the short-term postoperative follow-up(1,3,6,9,12,and 15 months),the child had no discomfort in her lower *** the braces and internal fixation plates were removed,formal rehabilitation training was actively carried *** Our"powerful overturning acetabuloplasty"combined with femoral rotational shortening osteotomy is feasible in the treatment of DDH in *** technology may be widely used in the clinic.

关键词： Developmental dysplasia of the hip Improved technique Case report

The energy response of LaBr_(3)(Ce),LaBr_(3)(Ce,Sr),and NaI(Tl)crystals for GECAM

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Nuclear Science and Techniques 2024年第2期35卷 110-122页

作者： Pei-Yi Feng Xi-Lei Sun Zheng-Hua An Yong Deng Cheng-Er Wang Huang Jiang Jun-Jie Li Da-Li Zhang Xin-Qiao Li Shao-Lin Xiong Chao Zheng Ke Gong Sheng yang Xiao-Jing Liu Min Gao Xiang-yang Wen Ya-Qing liu yan-Bing Xu Xiao-yun Zhao Jia-Cong Liu Fan Zhang Hong Lu Particle and Astrophysics Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China Experimental Physics Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China State Key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China School of Nuclear Science and Technology University of South ChinaHengyang 421001China National Engineering Research Center for Rare Earth Grirem Advanced Materials Co.Ltd.and General Research Institute for Nonferrous MetalsBeijing 100088China

The GECAM series of satellites utilizes LaBr_(3)(Ce),LaBr_(3)(Ce,Sr),and NaI(Tl)crystals as sensitive materials for gamma-ray detectors(GRDs).To investigate the nonlinearity in the detection of low-energy gamma rays and address the errors in the calibration of the E-C relationship,comprehensive tests and comparative studies of the three aforementioned crystals were conducted using Compton electrons,radioactive sources,and mono-energetic *** nonlinearity test results of the Compton electrons and X-rays demonstrated substantial differences,with all three crystals presenting a higher nonlinearity for X/-rays than for Compton *** the LaBr_(3)(Ce)and LaBr_(3)(Ce,Sr)crystals having higher absolute light yields,they exhibited a noticeable nonlinear decrease in the light yield,especially at energies below 400 *** NaI(Tl)crystal demonstrated an"excess"light output in the 6-200 keV range,reaching a maximum"excess"of 9.2%at 30 keV in the X-ray testing and up to 15.5%at 14 keV during Compton electron testing,indicating a significant advantage in the detection of low-energy gamma ***,we explored the underlying causes of the observed nonlinearity in these *** study not only elucidates the detector responses of GECAM,but also initiates a comprehensive investigation of the nonlinearity of domestically produced lanthanum bromide and sodium iodide crystals.

关键词： LaBr_(3)(Ce)detector LaBr_(3)(Ce,Sr)detector NaI(Tl)detector GECAM Energy response Light yield nonlinearity

基于双阈值的增强型AdaBoost快速算法

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计算机工程 2007年第21期33卷 172-174页

作者：严云洋郭志波杨静宇南京理工大学计算机科学与技术学院

在应用AdaBoost算法的人脸检测中,针对训练时间太长及权重调整过适应等问题,提出一种基于特征值等分和双阈值的增强型AdaBoost快速训练算法,给出了双阈值的快速搜索方法。在MIT-CBCL人脸和非人脸训练库上对算法进行了实现。实验结果显示... 详细信息

在应用AdaBoost算法的人脸检测中,针对训练时间太长及权重调整过适应等问题,提出一种基于特征值等分和双阈值的增强型AdaBoost快速训练算法,给出了双阈值的快速搜索方法。在MIT-CBCL人脸和非人脸训练库上对算法进行了实现。实验结果显示,改进后的双阈值增强型AdaBoost算法简化了训练过程,训练速度提高50倍,收敛速度也更快。使用训练得到的检测器对MIT+CMU人脸测试库进行了测试,结果表明,该方法在检测精度和速度等方面都优于单阈值方法。

关键词： dual—AdaBoost 双阈值人脸检测

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一类视频序列中的人脸检测与实时跟踪算法

计算机工程与应用 2007年第28期43卷 190-192,213页

作者：郭志波严云洋杨静宇扬州大学信息学院

提出一种新的人脸快速检测与实时跟踪算法,能够对视频序列中的人脸进行快速、准确地检测和跟踪。算法分为开始状态、目标丢失状态的人脸检测和连续状态的目标跟踪。首先预测人脸两眼之间的中心位置,得到人脸的预测位置并对预测位置处的... 详细信息

提出一种新的人脸快速检测与实时跟踪算法,能够对视频序列中的人脸进行快速、准确地检测和跟踪。算法分为开始状态、目标丢失状态的人脸检测和连续状态的目标跟踪。首先预测人脸两眼之间的中心位置,得到人脸的预测位置并对预测位置处的图像进行模板匹配,快速检测出人脸准确位置。然后利用检测出的人脸修正人脸模板,并在检测出的位置、旋转度、缩放比例等条件下,对后面序列图像进行小位置、小角度的快速跟踪。实验采用了多种环境下的大量视频,结果显示该算法能够快速跟踪视频序列中的人脸并具有很高的准确性、鲁棒性。

关键词：人脸检测目标跟踪模板匹配人脸确认

Identification and validation of a pyroptosis-related prognostic model for colorectal cancer based on bulk and single-cell RNA sequencing data

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World Journal of Clinical Oncology 2024年第2期15卷 329-355页

作者： Li-Hua Zhu Jun yang yun-Fei Zhang Li yan Wan-Rong Lin Wei-Qing Liu Department of Surgical Oncology The First Affiliated Hospital of Kunming Medical UniversityKunming 650032Yunnan ProvinceChina Department of Internal Medicine-Oncology The First Affiliated Hospital of Kunming Medical UniversityKunming 650032Yunnan ProvinceChina Department of Oncology The First Affiliated Hospital of Kunming Medical UniversityKunming 650032Yunnan ProvinceChina

BACKGROUND Pyroptosis impacts the development of malignant tumors,yet its role in colorectal cancer(CRC)prognosis remains *** To assess the prognostic significance of pyroptosis-related genes and their association with CRC immune *** Gene expression data were obtained from The Cancer Genome Atlas(TCGA)and single-cell RNA sequencing dataset GSE178341 from the Gene Expression Omnibus(GEO).Pyroptosis-related gene expression in cell clusters was analyzed,and enrichment analysis was conducted.A pyroptosis-related risk model was developed using the LASSO regression algorithm,with prediction accuracy assessed through K-M and receiver operating characteristic analyses.A nomo-gram predicting survival was created,and the correlation between the risk model and immune infiltration was analyzed using CIBERSORTx ***,the differential expression of the 8 prognostic genes between CRC and normal samples was verified by analyzing TCGA-COADREAD data from the UCSC *** An effective pyroptosis-related risk model was constructed using 8 genes-CHMP2B,SDHB,BST2,UBE2D2,GJA1,AIM2,PDCD6IP,and SEZ6L2(P<0.05).Seven of these genes exhibited differential expression between CRC and normal samples based on TCGA database analysis(P<0.05).Patients with higher risk scores demonstrated increased death risk and reduced overall survival(P<0.05).Significant differences in immune infiltration were observed between low-and high-risk groups,correlating with pyroptosis-related gene *** We developed a pyroptosis-related prognostic model for CRC,affirming its correlation with immune *** model may prove useful for CRC prognostic evaluation.

关键词： Colorectal cancer Pyroptosis Single-cell RNA sequencing Immune infiltration Prognostic model

基于特征空间划分的AdaBoost人脸检测算法

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小型微型计算机系统 2007年第11期28卷 2106-2109页

作者：严云洋郭志波杨静宇南京理工大学计算机科学与技术学院

在应用AdaBoost算法的人脸检测中,针对训练时间太长的问题,提出一种基于特征值空间划分的改进型AdaBoost快速训练算法,调整了弱分类器的评价系数.在MIT-CBCL人脸和非人脸训练库上对算法进行了实现,实验结果显示改进后的AdaBoost算法简... 详细信息

在应用AdaBoost算法的人脸检测中,针对训练时间太长的问题,提出一种基于特征值空间划分的改进型AdaBoost快速训练算法,调整了弱分类器的评价系数.在MIT-CBCL人脸和非人脸训练库上对算法进行了实现,实验结果显示改进后的AdaBoost算法简化了训练过程,训练速度提高16倍以上,而且以区间检测代替特定样本的特征单点检测,泛化能力更好,鲁棒性强,检测精度更高.

关键词： RC-AdaBoost 特征值划分人脸检测评价系数

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基于期望最大化的水平集分割算法

计算机工程与设计 2011年第7期32卷 2436-2438,2466页

作者：高尚兵严云洋淮阴工学院计算机工程学院江苏淮安223001 南京理工大学计算机学院江苏南京210094

针对经典的水平集算法(比如Chan-Vese模型算法)在迭代过程中要重新初始化和容易受噪声和模棱两可的边界的影响的缺点,增加一项内部能量泛函达到不需重新初始化的目的,并结合贝叶斯决策理论,利用图像先验知识,提出了一个改进的能量函数,... 详细信息

针对经典的水平集算法(比如Chan-Vese模型算法)在迭代过程中要重新初始化和容易受噪声和模棱两可的边界的影响的缺点,增加一项内部能量泛函达到不需重新初始化的目的,并结合贝叶斯决策理论,利用图像先验知识,提出了一个改进的能量函数,根据符号距离函数来不断调整水平集函数的偏差。该函数是利用期望最大化算法来得到的。实验结果表明,该算法分割精度和运行准确率上都优于经典算法。

关键词：图像分割期望最大化算法递归水平集贝叶斯决策

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基于图像分块的LDA人脸识别

计算机工程与设计 2007年第12期28卷 2889-2891页

作者：王文豪严云洋淮阴工学院江苏淮安223001

设计了一种基于图像分块的LDA(linear discriminant analysis)人脸识别方法,该方法从模式的原始数字图像出发,先对图像矩阵进行分块,然后对分块子图像进行LDA特征提取,从而得到能代替原始模式的低维新模式,最后再用最小距离分类器进行... 详细信息

设计了一种基于图像分块的LDA(linear discriminant analysis)人脸识别方法,该方法从模式的原始数字图像出发,先对图像矩阵进行分块,然后对分块子图像进行LDA特征提取,从而得到能代替原始模式的低维新模式,最后再用最小距离分类器进行分类。该方法克服了传统LDA方法的缺点,其优点是能有效地提取图像的局部特征。实验表明:该方法在识别性能上优于Fisherfaces方法。

关键词：人脸识别图像分块线性鉴别分析小样本问题最小距离分类器