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Recent progress of immunology research in china

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Science china(Life Sciences) 2011年第11期54卷 1068-1070页

作者： leng FangWei Institute of Biophysics Chinese Academy of Sciences Beijing 100101 China

To celebrate the 60th anniversary of ScIENcE cHINA,the second issue of Science china Life Sciences（2010） focuses on immunology,with six articles contributed by immunologists working both in and outside *** articles ... 详细信息

关键词：免疫学中国生命科学

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自制痔愈膏治疗混合痔术后的临床观察

中国民间疗法 2025年第1期33卷 52-54页

作者：王剑冷孟桐河北省沧州中西医结合医院河北沧州061000 天津中医药大学天津301617

目的:观察自制痔愈膏在混合痔术后的临床疗效。方法:选取66例混合痔术后患者,随机分为对照组和治疗组,每组33例。在外剥内扎术后,对照组采用马应龙麝香痔疮膏联合普济痔疮栓换药治疗。治疗组在对照组治疗基础上,将马应龙麝香痔疮膏改为... 详细信息

目的:观察自制痔愈膏在混合痔术后的临床疗效。方法:选取66例混合痔术后患者,随机分为对照组和治疗组,每组33例。在外剥内扎术后,对照组采用马应龙麝香痔疮膏联合普济痔疮栓换药治疗。治疗组在对照组治疗基础上,将马应龙麝香痔疮膏改为自制痔愈膏治疗。比较两组患者视觉模拟评分法(VAS)评分、创面水肿程度评分、创面彻底愈合时间。结果:治疗组患者术后第2日、第4日、第6日的VAS评分均优于对照组,差异有统计学意义(P0.05)。术后第1日、第3日,两组患者创面水肿程度评分比较,差异均无统计学意义(P>0.05)。术后第5日、第7日治疗组创面水肿程度评分优于对照组,差异有统计学意义(P<0.05)。治疗组患者创面彻底愈合平均天数(16.60±2.40)d,对照组患者创面彻底愈合平均天数(20.20±3.20)d,治疗组优于对照组,差异有统计学意义(P<0.05)。结论:自制痔愈膏能明显减轻混合痔患者术后肛门疼痛、水肿的发生,并能加速创面愈合。

关键词：混合痔外剥内扎术自制痔愈膏术后换药

On ca^(2+) signalling research

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Science china(Life Sciences) 2012年第8期55卷 744-746页

作者： leng FangWei Institute of Biophysics Chinese Academy of Scienees Beijing 100101China

As a highly versatile intracellular signal,calcium（ca2＋） regulates many different cellular processes in both animal and plant *** of ca2＋ homeostasis contributes to several human *** to the importance of ca 2＋ si... 详细信息

关键词： ca 信令信号传导钙稳态植物系统人类疾病生命科学细胞内

低蛋白质饲粮中添加发酵饲料对生长猪生长性能、血清指标和经济效益的影响

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动物营养学报 2025年第1期37卷 261-270页

作者：张俊峰冷来福齐仁立王敬邱小宇王琪重庆市畜牧科学院荣昌402460 生猪技术创新中心(重庆) 荣昌402460 西南大学动物科学技术学院北碚400715

本试验旨在研究低蛋白质饲粮中添加发酵饲料(发酵菜籽粕和发酵白酒糟)对生长猪生长性能、血清指标和经济效益的影响。选择72头健康、体重[(31.21±0.31)kg]相近的“长白×荣昌”生长猪,随机分为3组,每组6个重复,每个重复4头猪。对照组... 详细信息

本试验旨在研究低蛋白质饲粮中添加发酵饲料(发酵菜籽粕和发酵白酒糟)对生长猪生长性能、血清指标和经济效益的影响。选择72头健康、体重[(31.21±0.31)kg]相近的“长白×荣昌”生长猪,随机分为3组,每组6个重复,每个重复4头猪。对照组和低蛋白质组饲喂玉米-豆粕型饲粮,饲粮粗蛋白质水平分别为15.15%和13.66%;低蛋白质-发酵组以发酵菜籽粕和发酵白酒糟代替饲粮中的豆粕,其添加水平分别为10%和5%,饲粮粗蛋白质水平为13.72%。预试期3 d,正试期39 d。结果表明:1)各组之间生长性能无显著差异(P>0.05)。2)与对照组相比,低蛋白质组和低蛋白质-发酵组的血清尿素氮含量显著降低(P<0.05)。3)与对照组相比,低蛋白质组和低蛋白质-发酵组的血清免疫球蛋白A含量显著提高(P<0.05),血清白细胞介素-6含量显著降低(P<0.05);低蛋白质-发酵组的血清白细胞介素-10含量显著提高(P<0.05)。4)与对照组相比,低蛋白质组和低蛋白质-发酵组的血清超氧化物歧化酶活性显著提高(P<0.05);与对照组和低蛋白质组相比,低蛋白质-发酵组的血清还原型谷胱甘肽含量和总抗氧化能力显著提高(P<0.05)。5)与对照组相比,低蛋白质组和低蛋白质-发酵组的饲料成本分别降低了0.04、0.30元/kg,毛利润分别增加了5.58、11.43元/头。由此可见,在低蛋白质饲粮中添加发酵菜籽粕和发酵白酒糟对生长猪生长性能无影响,能提高免疫功能和抗氧化能力,降低血清尿素氮含量,改善猪只健康水平,降低饲料成本,增加经济效益。

关键词：低蛋白质发酵菜籽粕发酵白酒糟生长猪生长性能血清指标经济效益

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基于增益管理非线性的超快光纤激光放大研究进展(特邀)

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红外与激光工程 2025年第1期54卷 45-58页

作者：李灿任博郭琨王涛吴坚冷进勇周朴国防科技大学前沿交叉学科学院湖南长沙410073 国防科技大学南湖之光实验室湖南长沙410073 国防科技大学高能激光技术湖南省重点实验室湖南长沙410073

增益管理非线性(Gain Managed Nonlinearity,GMN)光纤放大技术涉及一种超快激光在非线性自相位调制与有源光纤动态增益共同作用下的非线性吸引子,可在激光脉冲能量提升的同时实现上百倍的线性光谱展宽,因而成为近年来超快光纤激光领域... 详细信息

增益管理非线性(Gain Managed Nonlinearity,GMN)光纤放大技术涉及一种超快激光在非线性自相位调制与有源光纤动态增益共同作用下的非线性吸引子,可在激光脉冲能量提升的同时实现上百倍的线性光谱展宽,因而成为近年来超快光纤激光领域的研究热点。文中从GMN脉冲演化的基本原理出发,系统梳理了GMN光纤放大技术在近年来所取得的研究进展、及在多光子显微成像等领域的应用,并进一步展望了其未来发展趋势。

关键词：增益管理非线性放大超快光纤激光自相位调制掺镱光纤

Distributed stochastic model predictive control for energy dispatch with distributionally robust optimization

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Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 323-340页

作者： Mengting LIN Bin LI c.cEcATI School of Aeronautics and Astronautics Sichuan University Department of Information Engineering Computer Science and MathematicsUniversity of L'Aquila

A chance-constrained energy dispatch model based on the distributed stochastic model predictive control (DSMPc) approach for an islanded multi-microgrid system is proposed. An ambiguity set considering the inherent uncertainties of renewable energy sources (RESs) is constructed without requiring the full distribution knowledge of the uncertainties. The power balance chance constraint is reformulated within the framework of the distributionally robust optimization (DRO) approach. With the exchange of information and energy flow, each microgrid can achieve its local supply-demand ***, the closed-loop stability and recursive feasibility of the proposed algorithm are proved. The comparative results with other DSMPc methods show that a trade-off between robustness and economy can be achieved.

关键词： distributed stochastic model predictive control (DSMPc) distributionally robust optimization (DRO) islanded multi-microgrid energy dispatch strategy TM73

On the heterogeneous microstructure development in the welded joint of 12MnNiVR pressure vessel steel subjected to high heat input electrogas welding

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Journal of Materials Science & Technology 2019年第8期35卷 1747-1752页

作者： Yang Shen Ju leng cong Wang School of Metallurgy Northeastern University Shenyang 110819 China Shenyang NEU New Industrial Technology Research Institute co. LTD Shenyang 110819 China

Microstructure features of 12 MnNiVR pressure vessel steel welded joint deposited by the high heat input electrogas welding have been systematically investigated. It is revealed that the welded joint is featured by a heterogeneous juxtaposition. The coarse grained heat-affected zone(cGHAZ) primarily consists of lath bainites and minor granular bainites. The fine grained heat-affected zone(FGHAZ) is dominated by polygonal ferrites, pearlites, and fine cementite particles. Moreover, electron backscatter diffraction results further demonstrate that the cGHAZ is populated by coarse prior austenite grains(PAGs) with high frequency(61.3%) of low angle grain boundaries(LAGBs). On the other hand, the FGHAZ is filled with fine PAGs with a lower frequency(19.6%) of LAGBs. Such microstructural differences may likely contribute to differed mechanical properties for samples tested at designed positions.

关键词： 12MnNiVR pressure vessel steel Electrogas welding High heat input Electron backscatter diffraction

Machine learning empowers efficient design of ternary organic solar cells with PM6 donor

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Journal of Energy chemistry 2025年第1期100卷 337-347页

作者： Kiran A.Nirmal Tukaram D.Dongale Santosh S.Sutar Atul c.Khot Tae Geun Kim School of Electrical Engineering Korea UniversityAnam-ro 145Seongbuk-guSeoulRepublic of Korea computational Electronics and Nanoscience Research Laboratory School of Nanoscience and BiotechnologyShivaji UniversityKolhapur 416004India Yashwantrao chavan School of Rural Development Shivaji UniversityKolhapur 416004India

Organic solar cells(OScs) hold great potential as a photovoltaic technology for practical ***, the traditional experimental trial-and-error method for designing and engineering OScs can be complex, expensive, and time-consuming. Machine learning(ML) techniques enable the proficient extraction of information from datasets, allowing the development of realistic models that are capable of predicting the efficacy of materials with commendable accuracy. The PM6 donor has great potential for high-performance OScs. However, it is crucial for the rational design of a ternary blend to accurately forecast the power conversion efficiency(PcE) of ternary OScs(TOScs) based on a PM6 ***, we collected the device parameters of PM6-based TOScs and evaluated the feature importance of their molecule descriptors to develop predictive models. In this study, we used five different ML algorithms for analysis and prediction. For the analysis, the classification and regression tree provided different rules, heuristics, and patterns from the heterogeneous dataset. The random forest algorithm outperforms other prediction ML algorithms in predicting the output performance of PM6-based TOScs. Finally, we validated the ML outcomes by fabricating PM6-based TOScs. Our study presents a rapid strategy for assessing a high PcE while elucidating the substantial influence of diverse descriptors.

关键词： Machine learning Ternary organic solarcells PM6 donor PcE

Opportunity and challenge:ten years of proteomics in china

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Science china(Life Sciences) 2012年第9期55卷 837-839页

作者： leng FangWei Institute of Biophysics Chinese Academy of SciencesBeijing 100101China

Proteomics is a science that focuses on the global analysis of protein expression and function in organisms. Although it is still a relatively new field, it has become increasingly important for life science research [1-3]. Since introduced in china in 1997, proteomics has developed rapidly in the past ten years in china with the support of the chinese cen- tral and local governments. As a core part of the first Major Scientific Research Program, it is now a major research area in china. There emerge man7 excellent chinese scientists,

关键词：蛋白质组学中国科学研究计划生命科学生物体内科学家