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废旧动力电池回收的机械拆解系统

机械工程师 2017年第12期 69-72页

作者：朱华炳卫道柱葛晓倩占志远李曦光唐文成王欣月合肥工业大学机械工程学院合肥230009

针对新能源动力汽车锂离子电池传统回收方法效率低,污染较大,难以实现流水作业等局限性,提出一种以机械切割为主要拆解办法的回收方法。该方案采用RFID射频识别技术对电池进行数据分析,并建立数据库,对待回收锂离子电池进行分类,然后利... 详细信息

针对新能源动力汽车锂离子电池传统回收方法效率低,污染较大,难以实现流水作业等局限性,提出一种以机械切割为主要拆解办法的回收方法。该方案采用RFID射频识别技术对电池进行数据分析,并建立数据库,对待回收锂离子电池进行分类,然后利用夹持机构固定同类多块电池,使用切割机构同时处理多块电池,完善了电池拆解回收工艺,使其更加规范化、专业化。同时系统具有运动稳定且精准等优点,可用于企业大规模回收拆解锂离子电池。

关键词：机械拆解电池切割机构锂离子电池

Low intensity near-infrared light promotes bone regeneration via circadian clock protein cryptochrome 1

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International Journal of Oral Science 2022年第4期14卷 584-594页

作者： Jinfeng Peng Jiajia Zhao Qingming tang Jinyu Wang wencheng Song Xiaofeng Lu Xiaofei Huang Guangjin Chen Wenhao Zheng Luoying Zhang Yunyun Han Chunze Yan Qian Wan Lili Chen Department of Stomatology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina School of Stomatology Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration WuhanChina Key Laboratory of Molecular Biophysics of Ministry of Education College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanChina Department of Neurobiology School of Basic Medicine and Tongji Medical CollegeHuazhong University of Science&TechnologyWuhanChina State key Laboratory of Materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhanChina Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation School of PharmacyHuazhong University of Science and TechnologyWuhanChina

Bone regeneration remains a great clinical challenge. Low intensity near-infrared(NIR) light showed strong potential to promote tissue regeneration, offering a promising strategy for bone defect regeneration. However, the effect and underlying mechanism of NIR on bone regeneration remain unclear. We demonstrated that bone regeneration in the rat skull defect model was significantly accelerated with low-intensity NIR stimulation. In vitro studies showed that NIR stimulation could promote the osteoblast differentiation in bone mesenchymal stem cells(BMSCs) and MC3T3-E1 cells, which was associated with increased ubiquitination of the core circadian clock protein Cryptochrome 1(CRY1) in the nucleus. We found that the reduction of CRY1 induced by NIR light activated the bone morphogenetic protein(BMP) signaling pathways, promoting SMAD1/5/9 phosphorylation and increasing the expression levels of Runx2 and Osterix. NIR light treatment may act through sodium voltage-gated channel Scn4a, which may be a potential responder of NIR light to accelerate bone regeneration. Together, these findings suggest that low-intensity NIR light may promote in situ bone regeneration in a CRY1-dependent manner, providing a novel, efficient and non-invasive strategy to promote bone regeneration for clinical bone defects.

关键词： stimulation intensity light

含障碍物多田块下旋翼无人机作业返航补给规划研究

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农业机械学报 2020年第7期51卷 82-90,71页

作者：黄小毛唐灿 tang Lie 罗承铭李文成张垒华中农业大学工学院武汉430070 农业农村部长江中下游农业装备重点实验室武汉430070 爱荷华州立大学农业与生物系统工程系埃姆斯IA50011

针对同一区域内相邻多田块的无人机单机作业任务路径规划问题,从续航、负重等实际问题出发,考虑种肥药液和油电能源等消耗品的按需多次返航补给,提出并实现一套含障碍物多田块条件下单机多架次作业的农用旋翼无人机自主飞行作业的路径... 详细信息

针对同一区域内相邻多田块的无人机单机作业任务路径规划问题,从续航、负重等实际问题出发,考虑种肥药液和油电能源等消耗品的按需多次返航补给,提出并实现一套含障碍物多田块条件下单机多架次作业的农用旋翼无人机自主飞行作业的路径规划算法。在给出作业路径规划优化目标模型的基础上,提出“先路径、后航次”两步优化法,先以最短路径为优化目标规划初始作业路径,然后考虑消耗品按需返航后的补给与续作问题进行航次规划。针对变量喷播和恒量喷播2种喷播模式,分别提出两种作业航向方向安排原则、航线调度原则、补给方式和续作模式,规划出4种不同航向及航线调度组合策略下的初始作业路径,并在此基础上进一步给出4种不同组合补给续作优化策略下的航次安排方案。针对假想田块和真实田块的算例仿真测试结果表明,规划初始作业路径的4种优化策略能够稳定高效运行,算法耗时78~105161 ms,转移路径优化效果为10.25%~33.81%;在航次优化算法方面,算法耗时略有增加,为21170~106393 ms,转移路径优化效果为14.00%~26.27%,补给次数的最好优化效果从15次降到10次。总体来说,相同条件下完全重置+重排续作的组合策略表现较优。

关键词：农用旋翼无人机作业路径规划按需补给含障碍物多田块

考虑强度各向异性的黏性土应变局部化有限元分析

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岩石力学与工程学报 2019年第7期38卷 1485-1497页

作者：唐洪祥韦文成林荣烽大连理工大学海岸和近海工程国家重点实验室

针对黏性土的强度各向异性及应变局部化问题,将Pietruszczak微结构张量联合应力不变量的方法发展至分析黏性土的黏聚力各向异性,并将其引入Cosserat连续体理论下的Drucker-Prager本构模型中,实现黏聚力随应力状态变化而动态更新,推导有... 详细信息

针对黏性土的强度各向异性及应变局部化问题,将Pietruszczak微结构张量联合应力不变量的方法发展至分析黏性土的黏聚力各向异性,并将其引入Cosserat连续体理论下的Drucker-Prager本构模型中,实现黏聚力随应力状态变化而动态更新,推导有关公式并借助于有限元软件ABAQUS的二次开发功能进行数值实现,通过与试验结果的对比,验证所发展的数值方法的可靠性和有效性。对平面应变条件下的单轴压缩和挡土墙被动破坏算例进行分析,说明黏聚力的强度各向异性对承载力和变形有重要影响,并对不同工况下黏聚力的取值提供合理建议。经过与经典连续体模型的计算结果进行对比研究,证明文中所发展的Cosserat连续体理论下考虑强度各向异性的数值模型,能克服经典连续体模型病态的网格敏感性,保持应变局部化问题的适定性。

关键词：土力学黏性土各向异性微结构 Cosserat连续体理论应变局部化

Deep simulated annealing for the discovery of novel dental anesthetics with local anesthesia and anti-inflammatory properties

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3086-3109页

作者： Yihang Hao Haofan Wang Xianggen Liu Wenrui Gai Shilong Hu wencheng Liu Zhuang Miao Yu Gan Xianghua Yu Rongjia Shi Yongzhen Tan Ting Kang Ao Hai Yi Zhao Yihang Fu Yaling tang Ling Ye Jin Liu Xinhua Liang Bowen Ke State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases West China Hospital of StomatologySichuan UniversityChengdu 610041China College of Computer Science Sichuan UniversityChengdu 610065China Department of Anesthesiology Laboratory of Anesthesia and Critical Care MedicineNational-Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyFrontiers Science Center for Disease-Related Molecular NetworkWest China HospitalSichuan UniversityChengdu 610041China

Multifunctional therapeutics have emerged as a solution to the constraints imposed by drugs with singular or insufficient therapeutic *** primary challenge is to integrate diverse pharmacophores within a single-molecule *** address this,we introduced DeepSA,a novel edit-based generative framework that utilizes deep simulated annealing for the modification of articaine,a wellknown local *** integrates deep neural networks into metaheuristics,effectively constraining molecular space during compound *** framework employs a sophisticated objective function that accounts for scaffold preservation,anti-inflammatory properties,and covalent *** a sequence of local editing to navigate the molecular space,DeepSA successfully identified AT-17,a derivative exhibiting potent analgesic properties and significant anti-inflammatory activity in various animal *** insights into AT-17 revealed its dual mode of action:selective inhibition of NaV1.7 and 1.8 channels,contributing to its prolonged local anesthetic effects,and suppression of inflammatory mediators via modulation of the NLRP3 inflammasome *** findings not only highlight the efficacy of AT-17 as a multifunctional drug candidate but also highlight the potential of DeepSA in facilitating AI-enhanced drug discovery,particularly within stringent chemical constraints.

关键词： Multifunctional drugs Deep simulated annealing Molecule generation Articaine derivatives AI-enhanced drug discovery

Output Feedback Design with Dynamic Surface for Nonlinear Systems with Unmodeled Dynamics

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Output Feedback Design with Dynamic Surface for Nonlinear Sy...

Schistosomiasis Surveillance--China,2015−2018

第40届中国控制会议

作者： Liqiang tang Hufei Zhu Yongliang Yang wencheng Zou Cheng-Zhong Xu Yixin Yin School of Automation and Electrical Engineering University of Science and Technology Beijing State Key Laboratory of IoTSC University of Macau

This paper aims to design the controller for the system with dynamic uncertainty and unknown dynamics, where the system states are not measurable. The neural networks are employed to solve the unknown nonlinear problem of *** dynamic surface control（DSC） technique is employed to avoid the repeated differentiation in virtual control, simplifying stability analysis and the controller design. The Luenberger observer is introduced to estimate the unknown state variables, and its effectiveness is verified. By introducing the state error transformation in the Lyapunov stability analysis, the dynamics uncertainties are well solved, and the uniformly ultimate boundedness of all states within the closed-loop system can be ***, both theoretical analysis and simulation results prove that all signals are uniformly ultimately bounded and converge to zero rapidly, proving the effectiveness of the proposed approach.

关键词： observer unmodeled dynamics dynamic surface control neural network

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China CDC weekly 2020年第3期2卷 39-43页

作者： Yinlong Li Hui Dang Lijuan Zhang Guangping Li Xiaowei Shan Min Yuan Songjun Ding Yun Feng Meifen Shen Jia Xu Yanjun Jin Haijuan Du wencheng Lu Wenqian tang Dianwei Jiang Yi Yuan Shan Lyu Shizhu Li Xiao-nong Zhou National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention/Chinese Center for Tropical Disease Research/WHO Collaborating Center for Tropical Diseases/National Center for International Research on Tropical DiseasesMinistry of Science and Technology/Key Laboratory of Parasite and Vector BiologyMinistry of HealthShanghaiChina Hunan Provincial Institute of Schistosomiasis Control YueyangHunanChina Hubei Provincial Center for Disease Control and Prevention WuhanHubeiChina Jiangxi Provincial Institute of Parasitic Diseases Control NanchangJiangxiChina Anhui Provincial Institute of Schistosomiasis Control HefeiAnhuiChina Jiangsu Institute of Schistosomiasis Control WuxiJiangsuChina Yunnan Institute of Endemic of Diseases Control and Prevention DaliYunnanChina Institute of Parasitic Diseases Control and Prevention Sichan Center for Disease Control and PreventionChengduSichuanChina Shanghai Municipal Center for Disease Control and Prevention ShanghaiChina Zhejiang Academy of Medical Sciences HangzhouZhejiangChina Center for Disease Control and Prevention of Guangdong Province GuangzhouGuangdongChina Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control NanningGuangxiChina Fujian Provincial Center for Disease Control and Prevention FuzhouFujianChina Chongqing Municipal Center for Disease Control and Prevention ChongqingChina

Background The prevalence of schistosomiasis in China is at the lowest level in history,and sentinel surveillance sites of schistosomiasis have fully covered all epidemic areas of *** article has analyzed the surveillance data for the last four years and can help guide the next stage of surveillance work at the national level,including the scope of surveillance,surveillance content,and surveillance methods,*** Data from the National Schistosomiasis Surveillance System were *** infection rate of schistosomiasis among the human population,livestock,snails,and the change of the breeding area of snails in sentinel surveillance sites for four consecutive years were analyzed,and the trends in schistosomiasis prevalence in surveillance sites were *** The prevalence of schistosomiasis in all sentinel surveillance sites of China showed downward trends from 2015 to 2018 with infection rates decreasing in this time period for local human population(0.05%to 0.00%),the floating population(0.020% to 0.003%),and cattle(0.037% to 0.000%).No infected snails were found during the *** 2015 to 2018,the total area of newly found habitats of snails(Oncomelania hupensis,***)were 34,730 m^(2),1,367,694 m^(2),18,944 m^(2),and 50,420 m^(2),and the total area of re-emergent habitats of snails(***)were 822,194 m^(2),1,391,779 m^(2),1,516,292 m^(2),and 1,750,558 m^(2),*** and Implications for Public Health Practice The prevalence of schistosomiasis in human and livestock is going down and is sustained at a very low level,but new and re-emerging habitats of *** are new challenges regardless of the achievement of schistosomiasis ***,two actions are necessary to effectively further reduce the transmission risk of schistosomiasis:1)taking effective measures to control the source of infection of schistosomiasis;and 2)reducing the breeding areas of ***.

关键词： sustained Schistosomiasis breeding

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橙汁冷冻浓缩动力学模型的研究

农业工程学报 2008年第12期24卷 243-248页

作者：方婷陈锦权唐凌王文成福建农林大学食品科学学院福州350002

为了降低果汁在冷冻浓缩过程中由于冰晶夹带造成的的损失并提高浓缩速度,需要获得冷冻浓缩过程中冰晶的增长规律。以橙汁为原料,采用二级冷冻浓缩方法,利用冰与水溶液之间的固液相平衡的原理,将水分从液态转变为固态的冰,使橙汁的浓度... 详细信息

为了降低果汁在冷冻浓缩过程中由于冰晶夹带造成的的损失并提高浓缩速度,需要获得冷冻浓缩过程中冰晶的增长规律。以橙汁为原料,采用二级冷冻浓缩方法,利用冰与水溶液之间的固液相平衡的原理,将水分从液态转变为固态的冰,使橙汁的浓度从13°Bx浓缩到34°Bx。该试验中,测定了橙汁的浓度及其对应的冻结点温度的关系,结果表明:在试验范围内,冻结点与浓度呈线性关系并随浓度的升高而降低。该文还研究了在冰晶中所夹带的可溶性固形物与橙汁浓度的关系,所获得分配系数K表明,冰晶中所夹带的可溶性固形物随浓度的提高而增加。根据Fick扩散方程式建立了冰晶增长动力学模型,模型显示冰晶增长速率与冰晶质量成正比,同时也受到最大冰晶量的抑制,采用Powell法,对试验数据回归模型参数、采用龙格—库塔法进行数值积分求得模型解,计算结果与试验结果吻合,该模型有助于为建立冰晶增长的质量、热量传递之间的平衡提供一定的理论依据和试验参考,加深对橙汁冷冻浓缩过程的认识。

关键词：橙汁冷冻浓缩悬浮式结晶冰晶模型

丝状真菌黑曲霉对放射性核素U(Ⅵ)的吸附、富集和转化

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中国科学：化学 2019年第1期49卷 113-122页

作者：梁君刘磊汤克来宋文成安徽大学江淮学院合肥230039 中国科学院合肥物质科学研究院医学物理与技术中心医学物理与技术安徽省重点实验室合肥230031 安徽省合肥市庐江县石头镇农技站合肥231524

本文采用批试验和X射线吸收精细结构谱学(XAFS)技术系统研究了黑曲霉菌丝体对放射性核素U(Ⅵ)的吸附、富集和转化.宏观研究表明,时间、菌丝体浓度、pH和温度显著影响菌丝体吸附U(Ⅵ),吸附动力学符合准二级动力学模型;吸附等温线符合Lang... 详细信息

本文采用批试验和X射线吸收精细结构谱学(XAFS)技术系统研究了黑曲霉菌丝体对放射性核素U(Ⅵ)的吸附、富集和转化.宏观研究表明,时间、菌丝体浓度、pH和温度显著影响菌丝体吸附U(Ⅵ),吸附动力学符合准二级动力学模型;吸附等温线符合Langmuir模型,在pH 6.0, T=298 K条件下,菌丝体吸附U(Ⅵ)的最大吸附量是83.73 mg/g,比其他生物吸附剂有较高的吸附U(Ⅵ)能力.黑曲霉富集U(Ⅵ)后,胞内外形态结构明显改变,并且胞内H_2O_2、丙二醛(MDA)和巯基化合物浓度显著增加.使用X射线吸收近边缘结构(XANES)分析证实黑曲霉胞内U(Ⅵ)减少,被还原为U(Ⅳ);扩展X射线吸收精细结构(EXAFS)数据表明, U(Ⅳ)产物是由单核U(Ⅳ)原子紧密包围的轻元素壳组成的形态,这种原子排列可能由U(Ⅳ)和C/N/O–或含P/S的配体(如碳酸根或磷酸根)之间的内球键产生.研究结果表明,丝状真菌黑曲霉有望应用于放射性核素U(Ⅵ)污染的修复治理.

关键词：黑曲霉吸附富集 U(VI) X射线吸收精细结构谱学(XAFS)