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Chinese Medicinal Identification:An Ⅲustrated Approach

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Chinese Medicinal Identification:An Ⅲustrated Approach

第十四届全国中药和天然药物学术研讨会

作者： Zhongzhen Zhao Hubiao Chen Ping Guo eric Br Hong kong Baptist University China Academy of Chinese Medical Sciences

＜正＞Authentication is fundamental for the standardization and globalization of Chinese *** the differentiation of Chinese medicinal materials based upon appearance is an essential foundation for Chinese medicinal **...

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Cell cycle-dependent uptake and cytotoxicity of arsenic-based drugs in single leukemia cells

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Cell cycle-dependent uptake and cytotoxicity of arsenic-base...

第五届全国原子光谱及相关技术学术会议

作者： Hongzhe Sun Ying Zhou eric Tse Hongyan Li Department of Chemistry and Medicine the University of Hong Kong

Cell is a complex system whose component change with time and space,and heterogeneity is a widespread event existing in all cells .Previous studies are based on bulk analysis which may lead to the losing of information about the distribution within one *** cell analysis provide more precise information,improving our understanding of the fundamental mechanism of biological system.

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杆状病毒重组蛋白金鱼生长激素Ⅰ的纯化

生物工程学报 1998年第4期14卷 419-423页

作者：林广云龙綮新陈锦荣黄安林 WendyKo 李继仁余奇理中山大学生物防治国家重点实验室香港大学动物系

利用放射免疫分析（ＲＩＡ）证实了含金鱼生长激素ⅠｃＤＮＡ的重组病毒在感染细胞９６ｈ后所表达的生长激素达到最高水平，平均每１０５个细胞可分泌金鱼生长激素Ⅰ最高达２８８０７ｎｇ；平均每克干虫可产生金鱼生长激素Ⅰ９２５... 详细信息

利用放射免疫分析（ＲＩＡ）证实了含金鱼生长激素ⅠｃＤＮＡ的重组病毒在感染细胞９６ｈ后所表达的生长激素达到最高水平，平均每１０５个细胞可分泌金鱼生长激素Ⅰ最高达２８８０７ｎｇ；平均每克干虫可产生金鱼生长激素Ⅰ９２５３μｇ。从感染重组病毒的无血清细胞培养基中纯化生长激素Ⅰ，平均每毫升培养基可纯化具免疫活性纯度９５％以上的金鱼生长激素Ⅰ达６６４２２４ｎｇ。纯化后蛋白的Ｎ末端首２０个氨基酸序列测定的结果表明其信号肽得到了准确的切割。从而保障了表达蛋白的生物活性。

关键词：杆状病毒表达载体金鱼生长激素基因表达

Characterizing Human Collective Behaviors During COVID-19 — Hong kong SAR, China, 2020

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China CDC weekly 2023年第4期5卷 71-75,I0001-I0003页

作者： Zhanwei Du Xiao Zhang Lin Wang Sidan Yao Yuan Bai Qi Tan Xiaoke Xu Sen Pei Jingyi Xiao Tim K.Tsang Qiuyan Liao eric H.YLau Peng Wu Chao Gao Benjamin J.Cowling WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina Laboratory of Data Discovery for Health Hong Kong Science and Technology ParkNew TerritoriesHong Kong Special Administrative RegionChina Department of Genetics University of CambridgeCambridgeCB23EHUK Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A*STAR)Singapore College of Information and Communication Engineering Dalian Minzu UniversityDalian CityLiaoning ProvinceChina Department of Environmental Health Sciences Mailman School of Public HealthColumbia UniversityNew York CityNYUSA School of Artificial Intelligence Opticsand Electronics(iOpen)Northwestern Polytechnical UniversityXi’an CityShaanxi ProvinceChina

Summary What is already known about this topic?People are likely to engage in collective behaviors online during extreme events,such as the coronavirus disease 2019(COVID-19)crisis,to express awareness,take action,and... 详细信息

关键词： collective likely extreme

ARMAX Modeling of 2-D Workpiece Errors in Lathe Turning

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ARMAX Modeling of 2-D Workpiece Errors in Lathe Turning

第十九届中国控制会议

作者： Steve K．S．Leung eric H．K．Fung Department of Mechanical Engineering The Hong kong Polytechnic University Hung Hom KowloonHong Kong

Forecasting Compensatory Control (FCC) has been successfully employed to improve the machine performance in various machining operations. This low-cost approach is based on on-line stochastic modeling and error compensation. The degree of error compensation depends very much on the accuracy of the modeling technique which can only be performed on-line in a real-time recursive manner. In this study, the effect of the control input, i.e. the cutting force, is considered in the development of error models, and the formulation of recursive eXogeneous Autoregressive Moving Average (ARMAX) models becomes necessary. The paper describes the methodology for developing the 2-D ARMAX models to represent the workpiece longitudinal and radial errors in the machine turning process. The parameters are estimated on-line by means of the Recursive Least Square (RLS) method. Evaluation of the effectiveness of using ARMAX models in error forecasting is made using the time series obtained from the experimental machine. Analysis shows that ARMAX (1,2,1) with forgetting factor of 0.99 gives acceptable results for this lathe turning machine.

关键词： active error compensation machining error modeling and forecasting recursive ARMAX models.

Cell cycle–dependent uptake and cytotoxicity of arsenic-based drugs in single leukemia cells

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Cell cycle–dependent uptake and cytotoxicity of arsenic-bas...

第十一届全国化学生物学学术会议

作者： Ying Zhou Haibo Wang eric Tse Hongyan Li Hongzhe Sun Department of Chemistry The University of Hong Kong Department of Medcine Queen Mary HospitalThe University of Hong Kong

Cell is a complex system whose components change with time and space,and heterogeneity is a widespread event existing in all cells .Most previous studies are based on bulk analysis which lead to the losing of key information about the distribution within one *** cell analysis gives us a more accurate result,offering comprehensive information on the fundamental mechanism of biological *** have long been used as therapeutic *** the mechanism of action of arsenic-based drugs enables more effective arsenic drugs to be *** cycle has been known to play a critical role for cell division and ***,we establish a methodology to evaluate the uptake of two arsenic-based drugs(ATO and ZIO-101) across the cell cycle in single leukemia cells,i.e.,NB4 and HL60,using a double thymidine block combined with time-resolved ICP-MS .We show that cells absorb maximal amounts of both ATO and ZIO-101 in G2/M phase and minimum in S phase,and such variation is less apparent for ZIO-101 than ATO(NB4-G2/M:S=2.5:1 for ATO and 1.6:1 for ZIO-101).We subsequently demonstrate that AQP9,an ATO transporter,is highly expressed in G1 phase(50.2%-46.9%) and least expressed in S phase(27.6%-24.6%);while xCT,a ZIO-101 transporter,is mostly expressed in G2/M phase(74.8%-76.1%),and least expressed in G1 phases(55.4-59.8%).Furthermore,we show that the cytotoxicity of ATO and ZIO-101 on NB4 cells is also cell cycle dependent,with the highest cytotoxicity at S+G2/M phase and the lowest at G1+S *** studies provide the first evidence on cell cycle dependent uptake and cytotoxicity of arsenic-based drugs at single cell levels,may have general implications for precise evaluation of other anticancer drugs by considering cell cycle phase.

关键词： Single cell Cell cycle Arsenic-based drugs leukemia

Micro-Gravity-Induced Systemic Deterioration of Musculoskeletal System and Development of Preventive Strategy-A Rat Tail Suspension Model

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Micro-Gravity-Induced Systemic Deterioration of Musculoskele...

中国空间科学学会第七次学术年会

作者： Leung KS Tam KF Ng eric Lee KH Cheung HW Department of Orthopaedics and Traumatology The Chinese University of Hong Kong

＜正＞BACKGROUND and PURPOSE:Prolonged exposure to microgravity may cause systemic problems to all body systems,including the relevant musculoskeletal *** studies concentrated on either bone loss or muscle *** current... 详细信息

关键词： Rats Tail suspention Bone Skeletal muslce Bone-tendon junction

Recent advances in operational tropical cyclone genesis forecast

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Tropical Cyclone Research and Review 2023年第4期12卷 323-340页

作者： K.K.Hon Robert Ballard eric Blake Steph Bond Robb Gile Daniel Halperin Charles Helms Hoang Lam Xinyan Lyu Mrutyunjay Mohapatra Monica Sharma Akira Shimokobe Ralf Toumi Seonghee Won Hong kong Observatory Hong KongChina Regional Specialized Meteorological Center Honolulu HonoluluUSA National Hurricane Center Miami FLUSA Bureau of Meteorology MelbourneAustralia Philippine Atmospheric Geophysicaland Astronomical Services AdministrationDepartment of Science and TechnologyQuezon CityPhilippines Embry-Riddle Aeronautical University USA National Aeronautics and Space Administration MarylandUSA Vietnam Meteorological and Hydrological Administration HanoiViet Nam China Meteorological Administration BeijingChina Regional Specialized Meteorological Center New Delhi New DelhiIndia Regional Specialized Meteorological Center Tokyo-Typhoon Centre TokyoJapan Department of Physics Imperial College LondonUK Korea Meteorological Administration SeoulRepublic of Korea

Tropical cyclone(TC)genesis prediction is a major scientific challenge to the TC operation and research *** report surveys the current status of TC genesis forecasts by a number of major operational centers covering the key ocean basins across both *** IWTC-9,we see an emergence of probabilistic TC genesis forecast products by operational centers,typically supported by the statistical processing of a combination of ensemble prediction and satellite analysis,covering time periods of couple of days to weeks *** prevalence of multi-center grand ensemble approach highlights the uncertainties involved and the forecast challenges in quantitative genesis *** operational practice might differ across agencies,verification efforts generally report a steady or slightly improving skill level in terms of reliability,which likely results from the continual improvement in global numerical weather prediction capability.

关键词： Cyclogenesis Tropical cyclone genesis Ensemble Prediction Operational Forecasting Probabilistic Verification Survey Global

Intrathecal immunoglobulin production in systemic lupus erythematosus patients with neuropsychiatric manifestations

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Intrathecal immunoglobulin production in systemic lupus eryt...

The 8th International Congress on SLE

作者： Mo Yin Mok eric Yt Chan Woon Sing Wong Chak Sing Lau Departments of Medicine The University of Hong KongQueen Mary HospitalHong Kong Departments of Pathology The University of Hong KongQueen Mary HospitalHong Kong Departments of Medicine The University of Hong KongQueen Mary HospitalHong Kong Departments of Medicine The University of Hong KongQueen Mary HospitalHong Kong

＜正＞Background:Neurological symptoms in patients with systemic lupus erythematosus（SLE）may occur due to inflammatory and non-inflammatory neurological conditions Objective:To measure intrathecal immunoglobulin G（...

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