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The inhibitory effect of adenosine on tumor adaptive immunity and intervention strategies

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Acta Pharmaceutica Sinica B 2024年第5期14卷 1951-1964页

作者： Longsheng Wang Jie zhang Wenxin zhang Mingming Zheng Hongjie Guo Xiaohui Pan Wen Li {2. Yang ling Ding Zhejiang Province Key Laboratory of Anti-Cancer Drug Research Institute of Pharmacology and ToxicologyCollege of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China The Innovation Institute for Artificial Intelligence in Medicine Zhejiang UniversityHangzhou 310018China Nanhu Brain-computer Interface Institute Hangzhou 311100China

Adenosine(Ado)is significantly elevated in the tumor microenvironment(TME)compared to normal *** binds to adenosine receptors(AdoRs),suppressing tumor antigen presentation and immune cell activation,thereby inhibiting tumor adaptive *** downregulates major histocompatibility complex II(MHC II)and co-stimulatory factors on dendritic cells(DCs)and macrophages,inhibiting antigen *** suppresses anti-tumor cytokine secretion and T cell activation by disrupting T cell receptor(TCR)binding and signal *** also inhibits chemokine secretion and KCa3.1 channel activity,impeding effector T cell trafficking and infiltration into the tumor ***,Ado diminishes T cell cytotoxicity against tumor cells by promoting immune-suppressive cytokine secretion,upregulating immune checkpoint proteins,and enhancing immune-suppressive cell *** Ado production in the TME can significantly enhance anti-tumor immune responses and improve the efficacy of other *** and clinical development of inhibitors targeting Ado generation or AdoRs is ***,this article will summarize and analyze the inhibitory effects and molecular mechanisms of Ado on tumor adaptive immunity,as well as provide an overview of the latest advancements in targeting Ado pathways in anti-tumor immune responses.

关键词： Adenosine Adenosine receptors Adenosine-generating enzymes Tumor microenvironment Immune suppression Immune escape Clinical treatment Targeting drugs

Fuzzy tolerance quotient spaces and fuzzy subsets

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science china(Information sciences) 2010年第4期53卷 704-714页

作者： zhang ling1 & zhang {2.2.3,4* 1computer science & Technology college, anhui University, anhui 2.0039, china 2.tate Key La{2.ratory of Intelligent Technology and Systems, Beijing 100084, china 3Tsinghua National La{2.ratory of Information science & Technology, Beijing 100084, china 4Information science & Technology college, computer science & Technology Department, Tsinghua University, Beijing 100084, china 1. computer science & Technology {2. Anhui University Anhui 230039 China2. State Key Laboratory of Intelligent Technology and Systems Beijing 100084 China3. Tsinghua National Laboratory of Information Science & Technology Beijing 100084 China4. Information Science & Technology College Computer Science & Technology Department Tsinghua University Beijing 100084 China

The structure and characteristic of fuzzy subsets are discussed by using the concepts of granulation and hierarchy in quotient space theory. First, the equivalence relation based quotient space theory is extended to the fuzzy tolerance relation. Second, the isomorphism and its discriminant of fuzzy tolerance relations are discussed. Finally, by using the fuzzy tolerance relation to define the fuzzy subset, its properties are addressed. The main results are given below: (1) several equivalent statements of fuzzy tolerance relations; (2. the definition of isomorphism of fuzzy tolerance relations; (3) the isomorphic discriminant of fuzzy tolerance relations; (4) the definition and properties of fuzzy subsets based on the fuzzy tolerance relations; and (5) the necessary and sufficient condition of the isomorphism of fuzzy subsets. These results will help us further comprehend the concepts of fuzzy tolerance relations and fuzzy subsets.

关键词： Fuzzy tolerance relation quotient space isomorphism fuzzy subset

A dual-kernel-based tracking approach for visual target

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science china(Information sciences) 2012年第3期55卷 566-576页

作者： zhang CanLong1,2., JING ZhongLiang1, JIN bo1 & LI ZhiXin2.1School of Aeronautics & Astronautics, Shanghai Jiao Tong University, Shanghai 2.02.0, {2. 2.3} of computer science & Information Technology , Guangxi Normal University, Guilin 541004, {2. 1. School of Aeronautics & Astronautics Shanghai Jiao Tong University Shanghai 200240 China2. College of Computer Science & Information Technology Guangxi Normal University Guilin 541004 China

A dual-kernel-based tracking approach for visual target is proposed in this paper. The similarity between candidate and target model, and the contrast between candidate and its neighboring background are considered simultaneously when evaluating a target candidate. The similarity is measured by Bhattacharyya coefficient while the contrast is calculated with Jensen-Shannon divergence, and they are adaptively fused into a novel objective function. By maximizing the linear approximation of objective function, a dual-kernel target location-shift relation from current location to a new location is induced. According to the location-shift relation, the optimal target location can be recursively gained in the mean shift procedure. Experimental evaluations on several image sequences demonstrate that the proposed algorithm can gain more accurate target location and better identification power to false target, and it is also robust to deformation and partial occlusion.

关键词： dual-kernel-based tracking mean shift Jensen-Shannon divergence Bhattacharyya coefficient

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基于道路监控的高速公路作业区碰撞风险预警

浙江大学学报（工学版） 2024年第6期58卷 1221-1232页

作者：王博刘昌赫张驰张敏邬贵冬长安大学公路学院陕西西安710064 教育部公路基础设施数字化工程研究中心陕西西安710000 南洋理工大学土木与环境学院新加坡639789 长安大学运输工程学院陕西西安710064 四川交通职业技术学院四川交通运输研究院四川成都611130

为了更及时地掌握高速公路作业区车辆碰撞风险态势,提出基于闭路电视监控的作业区碰撞风险预警方法.采用计算机视觉技术进行车辆检测、坐标转换和车辆3D形态估计,获取作业区交通流和车辆信息.以改进事故时间指数(ITA)为上游过渡段的碰... 详细信息

为了更及时地掌握高速公路作业区车辆碰撞风险态势,提出基于闭路电视监控的作业区碰撞风险预警方法.采用计算机视觉技术进行车辆检测、坐标转换和车辆3D形态估计,获取作业区交通流和车辆信息.以改进事故时间指数(ITA)为上游过渡段的碰撞风险量化指标,依据警告区起点的交通流特征,实现上游过渡段的碰撞风险预测.通过集成一维卷积神经网络(1D CNN)、长短期记忆网络(LSTM)和注意力机制,构建基于1D CNN+LSTM+Attention (CLA)框架的碰撞风险预测模型.结果表明:所提数据采集方法满足碰撞风险预测的需求.相较其他冲突指标,ITA在风险量化中具有更适宜的敏感度.相较LSTM和1D CNN+LSTM,基于CLA的预警模型准确度更高,其拟合优度确定系数和均方根误差分别为0.805和0.359.所提方法能够提前90 s为作业区提供碰撞风险预警.

关键词：公路工程作业区计算机视觉改进事故时间指数碰撞风险预警

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基于双分支轻量化网络的微表情识别算法

激光与光电子学进展 2024年第14期61卷 324-333页

作者：张波武瑀繁沈阳化工大学计算机科学与技术学院辽宁沈阳110142

针对采用卷积神经网络识别微表情时提高精度后往往会伴随复杂性增加的问题,提出一种改进的双流轻量级注意力网络(EDSMISEViTNet)用于微表情识别。首先对微表情样本进行预处理,提取峰值帧作为空间特征,采用TV-L1光流法提取起始帧和峰值... 详细信息

针对采用卷积神经网络识别微表情时提高精度后往往会伴随复杂性增加的问题,提出一种改进的双流轻量级注意力网络(EDSMISEViTNet)用于微表情识别。首先对微表情样本进行预处理,提取峰值帧作为空间特征,采用TV-L1光流法提取起始帧和峰值帧之间的时间特征;然后基于MobileViT网络改进并设计了Inception和SE模块相结合的MI模块,并加入注意力模块以高效提取有效特征;将时间特征和空间特征分别输入该网络,对结果特征进行拼接融合继而分类。为使结果更加准确,将CASME Ⅱ、SAMM以及SMIC数据集组合为复合数据集进行实验。实验结果表明,所提模型的训练参数量仅为3.9×10~6,处理单个样本的时间为71.8 ms。与现有方法相比,所提方法在保证低参数量的同时,准确率也具有良好表现。

关键词：微表情识别双流卷积神经网络 TV-L1光流法视觉Transformer 注意力机制 MobileViT网络

DNA computing model based on lab-on-a-chip and its application on solving the timetabling problem

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Progress in Natural science:Materials International 2008年第5期18卷 633-637页

作者： Fengyue zhang a,1, bo Liu b,1, Wenbin Liu c, Qiang zhang d a Department of Biomedical Engineering, School of Life science and Technology, Beijing Institute of Technology, Beijing 100081, china b Chinese Academy of Inspection and Quarantine, Beijing 10002., china c college of computer science and Engineering, Wenzhou University, Wenzhou, Zhejiang 32.02., china d Liaoning Key Laboratory of Intelligent Information Processing, Dalian University, Dalian, Liangning 11662., china Department of Biomedical Engineering School of Life Science and Technology Beijing Institute of Technology Beijing 100081 China Chinese Academy of Inspection and Quarantine Beijing 100029 China college of computer {2. and Engineering Wenzhou University Wenzhou Zhejiang 325027 China Liaoning Key Laboratory of Intelligent Information Processing Dalian University Dalian Liangning 116622 China

The essential characteristic of DNA computation is its massive parallelism in obtaining and managing information. With the develop- ment of molecular biology technique, the eld of DNA computation has made a great progress. By using an advanced biochip technique, laboratory-on-a-chip, a new DNA computing model is presented in the paper to solve a simple timetabling problem, which is a special ver- sion of the optimization problems. It also plays an important role in education and other industries. With a simulated biological experiment, the result suggested that DNA computation with lab-on-a-chip has the potential to solve a real complex timetabling problem.

关键词： DNA computing Timetabling problem Lab-on-a-chip

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基于视觉特性的灰度级自适应盲水印算法

通信学报 2003年第9期24卷 132-141页

作者：沃焱韩国强张波华南理工大学计算机科学与工程学院广东广州510641 广东省中山市公安局广东中山528400

提出了一种基于小波变换和视觉感知特性的灰度级自适应盲水印算法。该算法利用视觉系统的背景亮度、纹理和边界掩盖特性把载体图像的小波系数分为18类;在对2.6级灰度水印图像压缩后,依据载体图像小波系数的分类,以不同强度嵌入到载体中... 详细信息

提出了一种基于小波变换和视觉感知特性的灰度级自适应盲水印算法。该算法利用视觉系统的背景亮度、纹理和边界掩盖特性把载体图像的小波系数分为18类;在对2.6级灰度水印图像压缩后,依据载体图像小波系数的分类,以不同强度嵌入到载体中。该算法在抽取水印时不需要原始载体图像和原始水印。实验结果表明此算法可有效地隐藏灰度水印图像,并有较好的顽健性,能抵抗裁剪、JPEG压缩、加噪、图像增强、滤波等多种处理。

关键词：数字水印小波变换人眼视觉特性刚能鉴别的失真阈值

Nd∶YAG晶体生长过程中温度场的数值模拟研究

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中国激光 2003年第4期30卷 334-340页

作者：苏伟钟景昌张丽波岑学员李林赵英杰长春理工大学计算机科学与技术学院长春理工大学高功率半导体激光国家重点实验室吉林长春130022 广州市半导体材料研究所光电子材料中心广东广州510610

采用有限差分法对使用Cz(Czochralski)法生长Nd∶YAG激光晶体过程中熔体和晶体中的温度场进行数值模拟研究。首先给出了Nd∶YAG晶体生长系统的数学模型 ,然后对上述数学模型进行无量纲化处理 ,最后给出相应的边界条件 ,使用有限差分法... 详细信息

采用有限差分法对使用Cz(Czochralski)法生长Nd∶YAG激光晶体过程中熔体和晶体中的温度场进行数值模拟研究。首先给出了Nd∶YAG晶体生长系统的数学模型 ,然后对上述数学模型进行无量纲化处理 ,最后给出相应的边界条件 ,使用有限差分法求解上述方程。应用上述方法编制仿真程序 ,仿真了改变工艺条件后熔体和晶体温度场的变化情况 ,分析了各种工艺条件对温度场变化的影响。

关键词：有限差分法 Nd:YAG晶体温度场数值模拟晶体生长

Optimization to the Inverted Pendulum System by Genetic Fuzzy Strategies

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Optimization to the Inverted Pendulum System by Genetic Fuzz...