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Cisplatin pretreatment enhances anti-tumor activity of cytokine-induced killer cells

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World Journal of Gastroenterology 2011年第25期17卷 3002-3011页

作者： Xiang Huang Yi-Tian Chen hai-zhu song Gui-Chun Huang Long-Bang Chen Department of Medical Oncology MedicalSchool of Nanjing University Jinling Hospital 305 ZhongshanEast Road Nanjing 210002 Jiangsu Province China

AIM： To investigate whether cisplatin （DDP） enhances the anti-tumor activity of cytokine- induced killer （CIK） cells in a murine colon adenocarcinoma model. METHODS： Tumor size and weight served as indicators of therapeutic response. Immunohistochemistry was performed to observe intratumoral lymphocyte infiltration and tumor microvessel density. Changes in the percentage of regulatory T （Treg） cells within the spleens of tumor-bearing mice preconditioned with DDP were monitored using flow cytometry. RESULTS： A marked T cell-dependent, synergistic anti- tumor effect of the combined therapy was observed （1968 ± 491 mm3 ys 3872 ＋ 216 mm3; P = 0,003）, Preconditioning chemotherapy with DDP augmented the infiltration of CD3＋ T lymphocytes into the tumor mass and reduced the percentage of both intratumoral and splenic Treg cells. CONCLUSION： Preconditioning with DDP markedly enhances the efficacy of adoptively transferred CIK cells, providing a potential clinical modality for the treatment of patients with colorectal cancer.

关键词： Colorectal cancer Preconditioning chemo-therapy Cytokine-induced killer cells Regulatory Tcells Immunomodulation

Effect of order–disorder transition on thermodynamic and electronic properties of σ and χ phases in W–Re alloy: the first-principles calculation

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Tungsten 2025年第1期7卷 195-213页

作者： Zhi-Peng zhu Dian Jia William Yi Wang Jun-Lei Yin Xing-Yu Gao Shu-Feng Yang hai-Feng song Jin-Shan Li State Key Laboratory of Solidification Processing Northwestern Polytechnical University Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics School of Metallurgical and Ecological Engineering University of Science and Technology Beijing

The Tungsten-Rhenium(W-Re) alloys,celebrated for their high melting point,strength at elevated temperatures,electrical resistivity,and radiation resistance,have been widely utilized in high-temperature components,aerospace,electronics,and nuclear *** constituents of the topologically close-packed(TCP) phases,the sigma phase(σ) and chi phase(χ) formed within W-Re alloys wield considerable influence on the mechanical properties and the stability of the *** calculations were utilized in the present work to explore the structural,thermodynamic,and electronic properties of both ordered and disordered configurations within the σ and χ phases,culminating in a systematic elucidation of the higher phase stability exhibited by the ordered *** is found that the bulk modulus of these two phases is directly proportional to the concentration of Re in the alloy,while the equilibrium volume is inversely *** thermodynamic parameters of the σ and χ phases are calculated via the mean-field potential *** similar trends observed in the isobaric heat capacity,enthalpy increment,and entropy change curves for these two phases suggest they possess comparable thermodynamic *** is noteworthy that the contribution of ionic vibrations predominantly affects the isobaric heat capacity,while the contribution of thermal electronic excitations increases linearly with *** the structure and thermodynamic properties of TCP phases in W-Re alloys at low temperatures has profound significance for optimizing material performance,microstructures features,establishing theoretical foundations,and predicting material behavior.

关键词： First-principles calculations Phase stability TCP phases Thermodynamic properties W–Re alloy

Domain generalization with semi-supervised learning for people-centric activity recognition

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Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： Jing LIU Wei zhu Di LI Xing HU Liang song Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

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横向荷载作用下锚索变形及受力机理研究

铁道工程学报 2017年第3期34卷 1-5,79页

作者：李金华朱海西宋涛西安科技大学西安710054

研究目的:随着西部地区高速铁路的快速发展,由于受到地形和线型的制约,不可避免地遇到大量的边坡锚索加固工程。由于锚索穿越边坡滑移面时锚固段的受力情况较为复杂,还需进一步完善。本文基于Pasternak双参数地基理论,考虑岩土体之间的... 详细信息

研究目的:随着西部地区高速铁路的快速发展,由于受到地形和线型的制约,不可避免地遇到大量的边坡锚索加固工程。由于锚索穿越边坡滑移面时锚固段的受力情况较为复杂,还需进一步完善。本文基于Pasternak双参数地基理论,考虑岩土体之间的相互剪切作用,建立横向荷载作用下锚固段的力学模型,并以某黄土边坡锚索加固工程为算例,分析不同参数下锚固段的变形规律和受力特征。研究结论:(1)给出了锚索锚固段穿越滑移面时锚索变形、弯矩、剪力及岩土体反力计算公式,给出了土体松动区范围的计算方法;(2)分析表明,剪切荷载和抗弯刚度对锚索的变形和受力影响较大,锚索变形和受力主要集中在滑移面附近;(3)在抗弯刚度达到一定值后,剪切位移、土体反力分别与抗弯刚度呈线性减小,锚索的剪切位移随剪切荷载呈线性增加;(4)该研究结果可为高速铁路边坡锚索加固工程的设计和施工提供借鉴。

关键词：锚索 Pasternak模型横向荷载滑移面受力机理

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并联无功补偿装置对电网谐波的影响

电力电容器 2005年第2期 19-21,33页

作者：朱海松安徽省电力公司淮北供电局淮北235000

讨论了并联电容器组对电网谐波电压和电流的影响。并联电容器对谐波的放大,是造成电网谐波超标的重要因素之一,希望通过本文能引起有关部门和人员的重视。

关键词：并联电容器组串联电抗器电抗率谐波

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中美排污许可证制度差异

工程建设与设计 2019年第18期 151-153,227页

作者：朱海嵩上海建科环境技术有限公司上海200032

随着排污许可证制度在我国的逐步推进,相关政策和办法也在不断调整改进。论文通过系统研究美国的排污许可制度,与我国排污许可制度以及上海市目前实施的排污许可制度相关标准体系进行对比。

关键词：中美排污许可证制度差异

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环境变异免疫克隆算法解决有约束优化问题

系统仿真学报 2011年第11期23卷 2412-2416页

作者：徐海黎朱志松王恒朱龙彪南通大学机械工程学院南通226019

为了克服免疫克隆算法搜索效率低、无法直接对进化经验学习等缺点,设计了环境变异免疫克隆算法,在普通免疫克隆算法中引入环境变异算子,通过环境变量积累进化过程中的经验,使算法具备了一定的学习能力;重新设计了代价函数,采用一种新颖... 详细信息

为了克服免疫克隆算法搜索效率低、无法直接对进化经验学习等缺点,设计了环境变异免疫克隆算法,在普通免疫克隆算法中引入环境变异算子,通过环境变量积累进化过程中的经验,使算法具备了一定的学习能力;重新设计了代价函数,采用一种新颖的罚函数排序形式来处理由于约束条件造成的解集空间不连续问题,进而提高了算法的搜索效率及稳定性。通过对13个常用有约束优化问题测试函数的仿真实验,表明了环境变异免疫克隆算法在有约束优化问题上具有很好的性能。

关键词：免疫算法克隆环境变异有约束优化

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基于导纳控制的膝关节外骨骼摆动控制研究

自动化学报 2016年第12期42卷 1943-1950页

作者：韩亚丽许有熊高海涛朱松青时煜南京工程学院南京211167

针对膝关节外骨骼机械腿运动过程中对操作者的运动跟随问题,提出了一种基于导纳原理的等效惯量补偿控制方法.设计导纳控制器将外骨骼与操作者间的交互力矩转化为期望的运动轨迹;通过低通滤波加速度与惯量增益的乘积形成的闭环反馈实现... 详细信息

针对膝关节外骨骼机械腿运动过程中对操作者的运动跟随问题,提出了一种基于导纳原理的等效惯量补偿控制方法.设计导纳控制器将外骨骼与操作者间的交互力矩转化为期望的运动轨迹;通过低通滤波加速度与惯量增益的乘积形成的闭环反馈实现等效惯量补偿;结合腿部肌肉表面肌电信号进行人体摆腿运动换向的预判,实施膝关节外骨骼机械腿的摆动控制,实验结果表明,膝关节外骨骼与受试者之间的关节角度相对误差为±12%,膝关节外骨骼机械腿对受试者的摆腿运动能实现较好的运动跟随.

关键词：膝关节外骨骼运动跟随导纳控制人体运动意图识别交互控制

Wetland and habitat dynamics in the evolving landscape of the Middle Yangtze River Basin

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Journal of Geographical Sciences 2025年第1期35卷 88-111页

作者： YANG Peng SUN Kaiya zhu Yanchao XIA Jun HUANG Heqing song Jingxia SHI Xiaorui LU Xixi Hubei Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information Engineering China University of Geosciences Department of Geography National University of Singapore State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University

Wetlands play a critical role in the global environment. The Middle Yangtze River Basin(MYRB), known for its abundant wetland resources, has experienced notable changes resulting from the complex interplay of environmental factors. Therefore, we investigated the spatiotemporal characteristics of wetland ecological quality in the MYRB from 2001 to *** the random forest(RF) regression algorithm and patch-generated land-use simulation(PLUS) model, we forecasted variations in wetland habitat quality and their determinants under the Shared Socioeconomic Pathway-Representative Concentration Pathway(SSPRCP) framework from 2035 to 2095. The main findings are as follows:(1) The RF algorithm was optimal for land-use and land-cover(LULC) classification in the MYRB from 2001 to 2020,when notable changes were observed in water bodies and buildings. However, the forested area exhibited an increase and decrease of 3.9% and 1.2% under the SSP1-2.6 and SSP5-8.5 scenarios, respectively, whereas farmland exhibited a diminishing trend.(2) Wetlands were primarily concentrated in the central and eastern MYRB, with counties in the southwest exhibiting superior ecological-environmental quality from 2001 to 2020. Notably,wetland coverage revealed significantly high level, significant changes, frequent but relatively minor changes under the SSP1-2.6, SSP2-4.5, and SSP 5-8.5 scenarios, respectively.(3)Regions with lower habitat quality were primarily concentrated in urbanized areas characterized by frequent human activities, indicating a clear degradation in habitat quality across different scenarios. In conclusion, we established a foundational framework for future investigations into the eco-hydrological processes and ecosystem quality of watersheds.

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