973 resultados para CAR


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Insulin-like growth factor-binding protein (IGFBP)-3 is the major insulin-like growth factor (IGF) carrier protein in the bloodstream. IGFBP-3 prolongs the half-life of circulating IGFs and prevents their potential hypo-glycemic effect. IGFBP-3 is also expressed in many peripheral tissues in fetal and adult stages. In vitro, IGFBP-3 can inhibit or potentiate IGF actions and even possesses IGF-independent activities, suggesting that local IGFBP-3 may also have paracrine/autocrine function(s). The in vivo function of IGFBP-3, however, is unclear. In this study, we elucidate the developmental role of IGFBP-3 using the zebrafish model. IGFBP-3 mRNA expression is first detected in the migrating cranial neural crest cells and subsequently in pharyngeal arches in zebrafish embryos. IGFBP-3 mRNA is also persistently expressed in the developing inner ears. To determine the role of IGFBP-3 in these tissues, we ablated the IGFBP-3 gene product using morpholino-modified antisense oligonucleotides (MOs). The IGFBP-3 knocked down embryos had delayed pharyngeal skeleton morphogenesis and greatly reduced pharyngeal cartilage differentiation. Knockdown of IGFBP-3 also significantly decreased inner ear size and disrupted hair cell differentiation and semicircular canal formation. Furthermore, reintroduction of a MO-resistant form of IGFBP-3 "rescued" the MO-induced defects. These findings suggest that IGFBP-3 plays an important role in regulating pharyngeal cartilage and inner car development and growth in zebrafish.

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对生长在3个不同海拔自然生境下微孔草(Microula sikkimensis)叶中的抗氧化系统进行了比较研究.结果表明,生长在高海拔的微孔草叶中抗氧化酶类SOD、POD和CAT活性比生长在低海拔的活性高,其中大通牛场的微孔草叶中3种酶活性最高;APX的活性随海拔的升高而升高,且低海拔地区西宁的APX活性极显著低于高海拔地区大通和海北站(P〈0.01);作为非酶抗氧化系统物质之一的抗坏血酸(ASA)含量随海拔的升高而降低.高海拔地区微孔草叶中可溶性糖含量极高(P〈0.01);可溶性蛋白含量随海拔升高呈V字形变化.光合色素Chl a、Chlb和Car的含量均随着海拔升高而增加,Chl a/b比值随海拔升高而降低.MDA的含量随海拔升高有增加的趋势,西宁和大通的相比较,MDA含量差异显著(P〈0.05),说明微孔草叶细胞膜脂过氧化程度随海拔升高加剧.生长在不同海拔高度的微孔草对不同海拔高度环境变化具有相应的生理适应性和抗氧化策略.

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通过研究自然条件下模拟平流层臭氧破坏5%时近地表面增加的太阳UV-B辐射对高寒草甸4种典型植物(矮嵩草Kobresia humilis、垂穗披碱草Elymus nutans、麻花艽Gentiana straminea和鹅绒委陵菜Po-tentilla anserina)的抗氧化系统的影响表明,尽管各植物的抗氧化系统组分变化不同,但4种植物的膜脂过氧化程度没有加剧,长期增强UV-B辐射没有对膜系统造成损伤。在自然长期增强UV-B条件下,4种植物的膜脂过氧化产物——丙二醛(MDA)含量与对照相比无显著差异。垂穗披碱草、鹅绒委陵菜的谷胱甘肽(GSH)含量增加,麻花艽的超氧化物歧化酶(SOD)活性与鹅绒委陵菜的过氧化氢酶(CAT)活性上升,同时麻花艽的类胡萝卜素(Car)含量亦显著增加。可见这些植物已能很好地适应UV-B强辐射,其抗氧化能力除了与抗氧化系统各组分的协同作用有关外,也可能与种的适应性有关。

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研究了在野外自然条件下,长期增强UV-B辐射对高寒草甸3种典型植物矮嵩草(Kobresia humilis)、垂穗披碱草(Elymus nutans)和钉柱委陵菜(Potentilla saundersiana)光合放氧速率、光合色素和抗氧化系统的影响。结果表明:长期增强UV-B辐射对3种植物的净光合速率没有明显影响。增强UV-B辐射下,3种植物的叶绿素含量变化不同,Chla/b值,类胡萝卜素(Car)含量,Car/Chl值与对照相比都有升高,说明植物叶片的光合能力、吸收紫外线的能力增强以及忍受逆境能力均有增强,从而产生光保护,有利于光合作用正常进行。由于3种植物膜脂过氧化程度的不同及SOD活性的普遍抑制,植物经受了氧化胁迫。垂穗披碱草叶片GSH含量显著七升,矮嵩草的形态矮小及钉柱委陵菜GSH含量与POD活性显著上升,都能减轻它们所经受的氧化胁迫,使光合器官免受损伤。所以,这些保护性色素的积累和抗氧化系统内部的协同作用可能是高寒草甸植物光合作用正常进行的重要原因。

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This paper describes the simultaneous determination of allantoin, quercetin, and 1-methyl-1,2,3,4-tetrahydro-beta-carboline-3-carboxylic acid (MTCCA) in Nitraria tangutorum Bobr seed by HPLC-APCI-MS and CE (capillary electrophoresis) methods. The final optimized chromatographic conditions were investigated in a reversed-phase Eclipse XDB-C8 column (150 x 4.6 mm, 5 mu m). A seventeen-minute gradient elution, (A: aqueous acetonitrile 20% (v/v); B: aqueous acetonitrile 60% (v/v); C: pure acetonitrile 100%) at a flow rate of 1.0 mL/min was selected for the separation of three natural products with diode array detection (DAD) at 220 nm. A CE experiment was carried out in a fused silica capillary with 32 mmol/L boric acid (pH 10), 32 mmol/L SDS and acetonitrile (10.0%, v/v). The applied potential and temperature was, respectively, set at 19 kV and 25 degrees C. After development, the validation was performed in parallel for HPLC and CE, with the same standards and sample to avoid differences due to the manipulation. The validation parameters of both techniques were adequate for the intended purpose.

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机器人化是提高工程机械施工控制自动化的关键问题。对于工程机械机器人 ,特别是具有空间冗余度的工程机械机器人 ,其执行机构末端的轨迹规划的自动实现研究对提高其自动化程度有着重要意义。本文以泵车为例 ,提出了一种泵车布料机构的浇筑过程的自动轨迹规划算法 ,该算法通过将其所浇筑区域离散成浇筑点集 ,对两浇筑点的轨迹利用冗余度机器人学的最小关节范数法 ,并通过在关节速度和加速度非连续之处采用平滑或连续处理 ,从而实现了泵车布料机构浇筑过程的自动轨迹规划。

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机器人化是提高工程机械施工控制自动化的关键问题·通过将泵车布料机构的浇筑区域离散为浇筑点集 ,对两浇筑点内轨迹利用冗余度机器人学的最小关节范数法的轨迹规划 ,并将两相临浇筑段自动连接和自动协调 ,从而实现了混凝土泵车布料机构浇筑过程自动轨迹规划·

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在高温、多粉尘、多有害气体的危险环境中,工业机械手的应用就尤为显得重要,我们设计的液压组合式机械手特点是巧妙地使油缸远离手爪,以防油液受热使油的黏度下降。能在振动、油污等条件下稳定和可靠的工作,在锻造水压机生产流水线中,代替人手来搬运,装卸和操作,不但减轻了工人的劳动强度还大大的提高了劳动生产率。

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汽车混流总装线上交替装配不同型号的汽车产品,不同型号的汽车在同一装配工位上装配的零部件可能不同,如果不对车型的投产顺序加以优化排序,连续投入一种相同的车型,会使同一个工位的零部件消耗率严重不均衡。为了使各装配工位的零部件消耗率达到均匀化和平准化,本文采用模拟退火优化算法,对车型上线序列进行优化,最后的实例验证表明算法是可行的。

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简要介绍了模糊petri网以及模糊产生式规则,给出了基于模糊petri网的专家系统的框架设计,并提出了模糊产生式规则和模糊petri网的详细设计,根据本设计方案开发了汽车变速箱故障诊断专家系统,证明设计方案简洁高效,扩充性和实用性好。

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本文给出了一种针对公路自动收费系统的车辆分离检测而设计的,利用红外线发射和接收所形成的光幕,完全消除跟车现象,并能将半挂车、全挂车、单车可靠分离的红外车辆分离器。高可靠性红外车辆分离器的设计很好克服了传统红外车辆分离器环境适应性差、故障率高等缺点。本文还介绍了光幕形成的基本原理,并阐述了硬件关键点及实现方法,给出了系统硬件原理图、软件基本设计思想。

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Since 1990s, commercial conditions in China including commercial environment, retail types, scale of retail enterprises, spatial structure of retail and shopping decision making factors have changed. In order to keep up with these changes, commercial geography should set up new perspectives, theories and methods to analyze its internal mechanism and changing rules, and thus provide reasonable and practical scientific basis to commercial planning, location decision of retail enterprises and commercial environment construction. Taking Xicheng and Haidian District of Beijing as research case, which is a sector region from city center to rural region, this paper selects 12 commercial centers as most important study objects of this sector. This paper mainly makes use of the methods of Modeling, Pearson Bivaiiate Correlations Analysis, Factor Analysis and Logit model. Based on 1300 questionnaires and fieldwork, this paper focuses on modeling of Consumer Satisfaction of Commercial Environment (CSCE), evaluation of commercial environment and driving factors of consumers' shopping location decision. Firstly, this paper discusses the development of commercial geography and commercial environment evaluation, the new characteristics and trends of commercial development in Beijing and physical commercial environment of Xicheng and Haidian District of Beijing from chapter 1 to chapter 4. Secondly, this paper summarizes characteristics of residents' shopping behavior in chapter 5. Thirdly, this paper sets up an evaluative model of CSCE, and analyzes consumer satisfaction indexes of commercial environment and their spatial features in chapter 6. Fourthly, this paper infers how residents' attributes and shopping behaviors affect their preferences of shopping location and what are residents' shopping location decisions and their influencing factors in chapter 7. Fifthly, this paper constructs a significant index model and a pyramidal framework of CSCE, and further analyzes the diversity and competitive advantage of commercial environment in chapter 8. Finally, some conclusions are drawn as follows: 1. Characteristics of residents' shopping behavior mostly embody residents' time distance preference, commodity consumption preference, shopping time distribution and shopping activity characteristics. The important factors that influence shopping location choice of residents are distance, transportation, commodity price, commodity types and commodity quality. However, the important factors, which influence shopping location re-choice of residents, are commodity price, commodity quality, commodity types and transportation. 2. CSCE indexes of 12 commercial centers show us significant spatial characteristics, such as spatial differences of "Center-fringe region", spatial characteristics of axes, spatial diversity of ring roads and so on. 3. Influencing factors including factor endowments, relative establishment factor and location and transportation factor of commercial environment are of importance for CSCE. 4. Logit model 1 indicates that shopping behavior of residents is significantly and positively related to working in high-tech companies, high income and by car and positively related to high school diploma, by bus and subway. 5. Logit model 2 indicates that residents' shopping location decision is significantly and positively related to leisure establishment and relative restaurant and entertainment establishment and negatively related to commercial location, commodity price, service quality, parking site. 6. The significant index model and the pyramidal framework of CSCE indicate competitive advantages are crucial to attractive capability of commercial center, and competitive weakness limits development of commercial centers, in particular the weakness of service quality and parking site now is the chief factors restricting development of commercial centers

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The estimation of Time to Collision (TTC) related to avoiding collisions or making interceptions is an important cognitive ability for individuals. A number of studies have been carried out on this topic and related theories are developed. One of the most famous theories is the τ Theory. Based on the τ Theory, researches have found that visual information and physical information of moving objects would influent the TTC estimation. Are there any other factors that can affect people’s TTC estimation? A mixed design was used to examine the TTC estimation by different types of participants (professional drivers / people can not drive), with different moving objects (car/tricycle), under different speed (slow/fast) and direction (left to right / right to left) in Occlusion Paradigm. There were 21 professional drivers and 20 individuals who cannot drive participated in the experiment which was displayed on a computer. Participants were asked to click the button when he/she believed that the moving object had just contacted the red line. E-prime was used to establish the whole experimental environment and the RT was recorded at the same time. The results revealed that: (1) there is significant different TTC estimation between car and tricycle; (2) the professional drivers have more accurate TTC estimation than people do not drive. We can come to conclusion that conceptual information and driving skill could affect TTC estimation.

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The purpose of this study is to investigate the influence of attention resourse requirement and allocation on implicit memory and explicit memory for object-location associations in driving situation based on Adams theory on the function of implicit knowledge in the Situation Awareness(SA). This study adopted Musen’s implicit learning of object-location associations, sysmemtly manipulated the type and difficuty of the naming task. This research includes three studies and ten experiments. Their aim are separately to explore the influence of attention on implicit and explicit memory for object-loction assocaitons in simple stimulus and the driving situation. And it is needed to confirme the condition and the influencing factors of implicit memory for car-location association in different condition. It is also our aim to explore the feasibility of introduce of implicit learning methods in SA measurement. The results indicted that: ⑴ The influence of attention resourse allocation ,the difficulty of naming task , the deepness of processing on on implicit memory for object-location associations in driving situation are different . the dissociated results support the standpoint that there are two independent knowledge system; ⑵ The type of naming task more influenced the implicit and explicit memory for object-location associations than the difficulty of the naming task. The attention resourse requirement of the different type can not be compared; ⑶ The implicit memory seldom appears in the location naming task resulted from the defiency of processing on object-location association, and not as a results of the overtaxed; ⑷ The reaction time methods in the implicit learning could be used in SA measurement , it is a complementarity of the existing explicit SA measurement. These findings not only contribute to resolve ongoing debates about the process of cognition and mechanism of SA structure, but also have significant practical application in traffic safety.

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While navigating in an environment, a vision system has to be able to recognize where it is and what the main objects in the scene are. In this paper we present a context-based vision system for place and object recognition. The goal is to identify familiar locations (e.g., office 610, conference room 941, Main Street), to categorize new environments (office, corridor, street) and to use that information to provide contextual priors for object recognition (e.g., table, chair, car, computer). We present a low-dimensional global image representation that provides relevant information for place recognition and categorization, and how such contextual information introduces strong priors that simplify object recognition. We have trained the system to recognize over 60 locations (indoors and outdoors) and to suggest the presence and locations of more than 20 different object types. The algorithm has been integrated into a mobile system that provides real-time feedback to the user.