78 resultados para cache consistency


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研究移动机器人在动态环境中的导航与避障问题。为提高规划的实时性,提出了基于规则的规划方法,将多移动障碍环境机器人的运动规划分解为相对简单的单移动障碍运动规划,利用最优控制来实现单障碍的最优避障,并用智能搜索方法解决了移动机器人在多移动障碍环境中的实时运动规划问题。仿真实例表明了该方法的有效性。

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文章讲述了交通监控系统中应用视频图像流来跟踪运动目标并对目标进行分类的具体过程和原则.基于目标检测提出了双差分的目标检测算法,目标分类应用到了连续时间限制和最大可能性估计的原则,目标跟踪则结合检测到的运动目标图像和当前模板进行相关匹配.实验结果表明,该过程能够很好地探测和分类目标,去除背景信息的干扰,并能够在运动目标部分被遮挡、外观改变和运动停止等情况下连续地跟踪目标.

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Most of the fields in China are in the middle-late development phase or are mature fields. It becomes more and more difficult to develop the remaining oil/gas. Therefore, it is import to enhance oil/gas recovery in order to maintain the production. Fine scale modeling is a key to improve the recovery. Incorporation of geological, seismic and well log data to 3D earth modeling is essential to build such models. In Ken71 field, well log, cross-well seismic and 3D seismic data are available. A key issue is to build 3D earth model with these multi-scales data for oil field development.In this dissertation, studies on sequential Gaussian-Bayesian simulation have been conducted. Its comparison with cokriging and sequential Gaussian simulation has been performed. The realizations generated by sequential Gaussian-Bayesian simulation have higher vertical resolution than those generated by other methods. Less differences between these realization and true case are observed. With field data, it is proved that incorporating well log, cross-well seismic and 3D seismic into 3D fine scale model is reliable. In addition, the advantages of sequential Gaussian-Bayesian simulation and conditions for input data are demonstrated. In Ken71 field, the impedance difference between sandstone and shale is small. It would be difficult to identify sandstone in the reservoir with traditional impedance inversion. After comparisons of different inversion techniques, stochastic hillclimbing inversion was applied. With this method, shale content inversion is performed using 3D seismic data. Then, the inverted results of shale content and well log data are incorporated into 3D models. This demonstrates a procedure to build fine scale models using multi scale seismic data, especially 3D seismic amplitude volume.The models generated through sequential Gaussian-Bayesian simulation have several advantages including: (1) higher vertical resolution compared with 3D inverted acoustic impedance (AI); (2) consistency of lateral variation as 3D inverted AI; (3) more reliability due to integration cross-well seismic data. It is observed that the precision of the model depends on the 3D inversion.

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Geopolymer gelatinous material was prepared by ferroalloy slag (signed with NKT in laboratory) and circulating fluidization bed slag (CFB slag, signed with NM in laboratory) produced from Heshan city, Guangxi zhuang autonomous region, China. The mechanical properties of the geopolymer made of high content ferroalloy slag can reach the standard of 42.5# portland blastfurnace-slag cement, and it’s processing technology is more simple and not need of mill and burn and will not produce harmful gas. By means of chemical and XRD analyses, it is concluded that NKT is a kind of acidity water-granulated slag with better activation and fit to be activated by alkali activators. Low-cost industrial gypsum (signed with NG in laboratory), analytic reagent oxide(signed with NH in laboratory) and sulfate(signed with NS in laboratory) were selected as alkali activation in the experiment. The results showed NH is a good alkali activator for NKT. Both NH and NG can activate ferroally slag’s activities, but NS can’t alone. The activation effect of superimposing activation of NH and NG excel by separateness. Based on those experiments, optimization compounds were carried out: (1) NKT: NH: NG = 80: 10: 10 and (2) NM: NKT: NS: NG: NH = 10: 70: 2: 8: 10。. The soundness of the test blocks is good by boiling examination. Through XRD, SEM, IR, NMR analyses of geopolymer, the reaction mechanism of geopolymer prepared by alkalescent activating in solid wastes was discussed in the thesis first. It is point out, there is difference in reaction mechanism between traditional geopolymer preparation and the preparation of alkalescent activating solid wastes because NG is a industry product. There is the similar process of depolymerization and reunion of Si-O bond. The latter preparation process generate new subtance but the former doesn’t. In the experiment, we found a performance of NKT that the water requirement of normal consistency of geopolymer reduces with increasing content of NKT. The result shows NKT has some ability to reduce water requirement. The performance is worthy of further research and utilization. Making use of solid wastes to prepare geopolymer, not only can settle environment problem caused by a great deal of dump of NKT, but also settle the shortage of natural resources. Moreover it could take economic, environmental and social benefits and settle thoroughly contradiction in the environment protection and regional economy development and promote circulation economy development.

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In this paper, the detailed analysis of fundamental seismic data and theoretical method are given, and the tests of some new technologies are performed. For seismic data processing assembly, some key technologies are developed and applied, such as global static correction, amplitude consistency processing, wavelet consistency shaping, fine velocity model establishing and prestack time migration. These technologies can efficiently settle the problems during the course of multiple- block– jointed prestack time migration processing, and it is highly significant for holding the oil output of 40,000,000 tons for Daqing oilfield. Through the research of this dissertation, the following important contributions are shown: (1) The combination of near-surface model method and refraction static correction method is developed, and is applied to solve global static correction for the whole merging area. (2) Prestack amplitude normalization processing method based on fold is developed. The method eliminates the effects of fold on amplitude uniformity, and solves the problem of energy uniformity for tie-area prestack migration processing. (3) Wavelet consistency is investigated. For multiple survey blocks existing in the area, the optimum method of wavelet shaping is developed, which removes the waveform variance between two adjacent blocks. (4) Controlled velocity inversion (CVI) technique is used to establish migration velocity field. It can largely shorten the period of velocity modeling, and improve velocity analysis precision. (5) Float datum level technique is employed, and is able to guarantee prestack migration results of subsurface shallow layers. (6) The static partition of seismic data volume relating to migration aperture is firstly developed. And the precious imaging for huge data volume by prestack time migration is realized. (7) The numerical forward simulation and prestack migration processing is primarily combined to discuss the migration technique for a complex geology structure from practical field information. The combination of numerical simulation and prestack migration is a feasible way to solve the fine imaging of complex volcanic structure. And the combination approach can help to select appropriate migration parameters.

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Aiming at solving the seismic imaging difficulty in complex area, the static correction methods and the migration imaging techniques taking the anisotropy into account are studied in this dissertation. To solve the static correction problems, a new tomography inversion approach is presented which takes use of the apparent slowness and apparent velocity and inverts both head and diving waves over the complete offset ranges. This approach is also taken practice to the practical seismic data processing of south areas of China and gets ideal effects. There are obvious differences between the actual statics and the statics based on the surface consistency hypothesis. In this dissertation, the exact differences formula is derived. The wave-eqation datuming method based on a single shot gather and the hybrid zero-offset wave-equation datuming algorithm based on f-x domain and f-k domain are presented at the same time. Further more, some forward modelings are made and tested. These methods are also put into practical seismic data processing and good results are made. In this dissertation, the true amplitude Kirchhoff pre-stack time migration fomula in VTI media is presented. The high-dense bispectral scanning technique based on the anelliptical time-shifted hyperbola and the geostatistical filtering are adopted to extract the anellipticity parameter. Simultaneously, combined with the practical seismic data imaging, the anisotropic pre-stack time migration flow is proposed and good processing results are made.

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The long-term variations in the strength of the geomagnetic field provide important constraints on the chemical-physical processes of the Earth’s interior. Especially, the intensity of the geomagnetic field during the Cretaceous normal superchron (CNS) is crucial to understand the geodynamo. But a paucity of paleointensity further limits to obtain essential knowledge interior process in the deep earth. In order to improve the experimental efficiency, this study tried to apply two new rock magnetic methods (FORC diagram and low-temperature demagnetization technique) to determine the paleointensity. First, some problems in the theory and technique in paleointensity experiments were introduced. A combined palaeomagnetic and geochronologic study was further conducted on a basaltic lava sequence at Jianchang in Liaoning Province, northeastern China. Radiometric 40Ar/39Ar dating indicates that the volcanism occurred at about 119 Ma within the marine anomaly C34n in Cretaceous normal superchron (CNS). Rock magnetic investigations show that pseudo-single domain (PSD) titanium-poor titanomagnetite is dominant in the studied lava flows. Both stepwise thermal and alternating field demagnetizations isolate the well-defined normal characteristic remanent magnetization (ChRM) in three independent lava flows with a mean direction of D/I = 6.0/51.9 degree(a95 = 12.3degree). Palaeointensity was determined using the modified Thellier method with systematic partial thermoremanent magnetization (pTRM) checks on total 72 samples, but only 10 samples exhibit ideal linear behavior on the Arai-plot in the temperature interval of 300-560 C and yield an average paleointensity of (25.8+/-1.4)uT. In addition, slopes of the line defined by the initial and the final points on the Arai-plot for the other 18 samples with characteristic PSD features give an average paleointensity estimation value of (24.8+/-1.9)uT. The consistency of these two approaches confidently demonstrates the fidelity of our results. The overall mean field strength determined using both approaches are thus estimated to be (25.2+/-0.7 )uT. This value corresponds to the virtual dipole magnetic moments (VDM) of (4.5+/-0.1)E22 Am^2, which is about half of the value of present field. This finding suggests that palaeointensity just at the onset of the CNS is characterized by a weak magnetic field.

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Terrestrial carbon pool mainly consists of three parts: the active carbon pool of the vegetation,soil carbon pools and the lithosphere carbon pool of less activity. Under natural conditions,vegetation carbon pools,soil carbon exchange with atmospheric carbon pool directly,the lithosphere participate in the global carbon cycle by weathering Our research have coverd the soil organic carbon density,plant biomass (carbon density),plant net primary productivity of past 40 ka,and the magnetic susceptibility,grain size,weathering of silicate carbon consumption of past 140 ka. This study has achieved a number of conclusions as shown below. 1 Silicate weathering CO2 consumption in the long-term fluctuations with a similar deep-sea δ18O record,demonstate that it not only can be used as one of the instructions of terrestrial carbon pool,even can be used as indicators of global environmental change; silicate weathering CO2 consumption and susceptibility shown a clear relationship between lag or lead at different times,it maybe lies on how the climate change. 2 Soil carbon pools in line with the global climate on long-term,but the relationship between soil carbon density and climate change was not obvious in short-term change,generally lags behind the changes in other climatic proxies. 3 Carbon density of vegetation and other proxy indicators of climate have good consistency. In the study period,perform the cycle of glacial and interglacial completely,but because of the ancient vegetation of accurate information is difficult to obtain,it did not reflect rapid response to climate change. 4 Cooling events is conducive to soil organic carbon accumulation but not conducive to weathering and vegetation growth. High temperature environment is not conducive to the accumulation of soil organic carbon. 5 In the deglacial time from the last glacial maximum to the Holocene,weathering carbon consumption seems earlier than vegetation and soil organic carbon in the fluctuant increase.Does it imply that the effects of silicate weathering is an important factor to the global carbon cycle and global climate change? It is worth further research.

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With the large developments of the seismic sources theory, computing technologies and survey instruments, we can model and rebuild the rupture process of earthquakes more realistically. On which earthquake sources' properties and tectonic activities law are realized more clearly. The researches in this domain have been done in this paper as follows. Based on the generalized ray method, expressions for displacement on the surface of a half-space due to an arbitrary oriented shear and tensile dislocation are also obtained. Kinematically, fault-normal motion is equivalent to tensile faulting. There is some evidence that such motion occurs in many earthquakes. The expressions for static displacements on the surface of a layered half-space due to static point moment tensor source are given in terms of the generalized reflection and transmission coefficient matrix method. The validity and precision of the new method is illustrated by comparing the consistency of our results with the analytical solution given by Okada's code employing same point source and homogenous half-space model. The computed vertical ground displacement using the moment tensor solution of the Lanchang_Gengma earthquake displays considerable difference with that of a double couple component .The effect of a soft layer at the top of the homogenous half-space on a shallow normal-faulting earthquake is also analyzed. Our results show that more seismic information would be obtained utilizing seismic moment tensor source and layered half-space model. The rupture process of 1999 Chi-Chi, Taiwan, earthquake investigated by using co-seismic surface displacement GPS observations and far field P-wave records. In according to the tectonic analysis and distributions of aftershock, we introduce a three-segment bending fault planes into our model. Both elastic half-space models and layered-earth models to invert the distribution of co-seismic slip along the Chi-Chi earthquake rupture. The results indicate that the shear slip model can not fit horizontal and vertical co-seismic displacements together, unless we add the fault-normal motion (tensile component) in inversions. And then, the Chi Chi earthquake rupture process was obtained by inversion using the seismograms and GPS observations. Fault normal motions determined by inversion, concentrate on the shallow northern bending fault from Fengyuan to Shuangji where the surface earthquake ruptures reveal more complexity and the developed flexural slip folding structures than the other portions of the rupture zone For understanding the perturbation of surface displacements caused by near-surface complex structures, We have taken a numeric test to synthesize and inverse the surface displacements for a pop-up structure that is composed of a main thrust and a back thrust. Our result indicates that the pop-up structure, the typical shallow complex rupture that occurred in the northern bending fault zone form Fengyuan to Shuangji, can be modeled better by a thrust fault added negative tensile component than by a simple thrust fault. We interpret the negative tensile distributions, that concentrate on the shallow northern bending fault from Fengyuan to Shuangji, as a the synthetic effect including the complexities of property and geometry of rupture. The earthquake rupture process also reveal the more spatial and temporal complexities form Fenyuan to SHuangji. According to the three-components teleseismic records, the S-wave velocity structure beneath the 59 teleseismic stations of Taiwan obtained by using the transform function method and the SA techniques. The integrated results, the 3D crustal structure of Taiwan reveal that the thickest part of crustal local in the western Central Range. This conclusion is consistent with the result form the Bouguer gravity anomaly. The orogenic evolution of Taiwan is young period, and the developing foot of Central Range dose not in static balancing. The crustal of Taiwan stays in the course of dynamic equilibrium. The rupture process of 2003)2,24,Jiashi, Xinjiang earthquake was estimated by the finite fault model using far field broadband P wave records of CDSN and IRIS. The results indicate that the earthquake focal is north dip trust fault including some left-lateral strike slip. The focal mechanism of this earthquake is different form that of earthquakes occurred in 1997 and 1998, but similar to that of 1996, Artux, Xinjiang earthquake. We interpreted that the earthquake caused trust fault due to the Tarim basin pushing northward and orogeny of Tianshan mountain. In the end, give a brief of future research subject: Building the Real Time Distribute System for rupture process of Large Earthquakes Based on Internet.

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Job Burnout has been a focus of the Occupational Stress Research. As a typical,helping occupation, teacher has attracted widely attention and researches in the areas of pedagogy and psychology. The special subgroup of teacher, headmasters who are the elites of the Basic Education, is ignored. The research about principals’ Job Burnout is nearly blank after analyzing related documents and information. With the development of the society, people pay more and more attention to the education and put more demands on the headmasters, especially middle-school principals. They are required not only to be good educators, who are equipped with all the inner qualities as a teacher, but also good managers. So the main purpose of this research was to compare the principal group with ordinary teacher group, and reveal underling factors, such as background variables and psychological protection variables. A representative sample of Wenzhou middle school principals sized 192 and a sample of middle school teacher sized 302 were sampled from various schools. The educational version of burnout inventory, self consistency scale, and interpersonal trust scale were administrated to the two samples, together with some demographic variables of interest. The applicability and equivalence of the three instruments used in this study were checked. Based on well-established reliability and cross-sample congruence of measures, the difference between principals and teachers was test. Then the contributing factors were analysis gradually. The five background variables were examined one by one in the two samples separately. A multiple covariance analysis was conducted to test whether there remained any difference between these two samples on the variables of interest. Regression analysis was used to further control the effect of self harmony and interpersonal trust to test the difference between two samples. Mediating analysis was conducted to build the relationship among the three constructs. The main results of the research were stated as following: 1. The internal consistency coefficients of all the scales were good, and no difference exited between the two groups. The measurement equivalence of three instruments was established well. The measures could be applied to and comparing the two samples. 2. The self-harmony, and interpersonal trust of principals were better than the ordinary middle-school teachers. Job Burnout of principals was significant lower than teachers. 3. Demographic variables like the gender, age groups, income levels, disricts, and the type of school, were important influencing factors. The difference patterns of the variables on these five variables in two samples had similarity and distinction. 4. After controlling the background variables, there remained significant difference between principals and teachers on the variables of interest. 5. Job Burnout negatively correlated with self-harmony and interpersonal trust. That is to say,the lower the degree of self-harmony and interpersonal are, the serious of the Job Burnout is, The correlation between the self-harmony and the interpersonal trust was positive. 6. After statistically controlling the background variables and psychological variables, there still exited significant difference between two groups of this study. Also, self harmony and interpersonal trust were significant protection predictors to different aspect of job burnout. 7. Mediating analysis was conducted to the residual score of the three constructs after controlling the five variables and group membership. Self harmony partially mediated the relationship between interpersonal trust and job burnout. That is, interpersonal trust had indirect effect to burnout mediated by self harmony, also had direct effect to burnout.

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Parent-child attachment refers to the emotional bond that forms between parent and child, which has great influences on the child’s interpersonal development. Present study applied both correlation method and secure attachment memory activation method to investigate the “gender relation effects” of parent-child attachment’s influences on college students’ close relationships, general attachment representation, and emotion and social loneliness. The basic hypotheses on “gender relation” were set as: “same-sex” parent-child attachment has more influences on college students’ “same-sex” interpersonal relationships, while “opposite-sex” parent-child attachment has more influences on college students’ “opposite-sex” interpersonal relationships. Major findings includes: 1. There was weak correlation of attachment security between father-child and mother-child relationships. The findings indicated that, among college students, the security of “opposite-sex” parent-child attachment representation is higher to some extent than that of “same-sex” parent-child attachment representation. 2. There were significant correlations between parent-child attachment and college students’ attachment anxiety in close relationships. Major findings indicated that “opposite-sex” parent-child attachment security negatively predicts college students’ attachment anxiety in both “same-sex” and “opposite-sex” close relationships. 3. Gender relation effects were significant in the correlations between parent-child attachment and college students’ level of avoidant attachment representation. “Same-sex” parent-child attachment security positively predicted avoidant attachment level in college students’ “same-sex” close relationships, while “opposite-sex” parent-child attachment security positively predicted avoidant attachment level in “opposite-sex” close relationships. 4. Parent-child attachment security memory activation had significant influences on college students’ general attachment representation, in which gender relation effects indicated that: the memory activation of father-child attachment security significantly increases participants’ security of self-model in general attachment representation to “male others”; while the memory activation of mother-child attachment security significantly increase participants’ security of others-model in general attachment representation to “female others”. 5. For male college students, father-son attachment security negatively predicted their emotion and social loneliness. For female college students, father-daughter attachment security negatively predicted their emotion loneliness, while mother-daughter attachment security negatively predicted their social loneliness. Attachment security memory activation had significant influences on college students’ social loneliness, in which gender relation effects was confirmed in that only father-child attachment security memory activation significantly decreased male participants’ level of social loneliness. The results indicated that gender relation effects are significant in the influences of parent-child attachment on college students’ interpersonal relationship representations, especially when the level of avoidant of attachment in college students’ close relationships was predicted by parent-child attachment representation, and when the memory activation of parent-child attachment influenced college students’ general attachment representation. The present study confirmed to some extent that gender relation consistency exists in attachment representations among different interpersonal relations, and serves as a new model for analysis of gender differences in the research fields. In the present study, however, gender relation effects were not confirmed in all the interpersonal relationship representations, which indicated the complexity in the problems of gender differences in the research fields of close relationships.

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Considerable studies find that developmental dyslexia is associated with deficits in phonological processing skills, especially phonological awareness. In order to explore the nature of phonological awareness deficits in dyslexia, researchers have begun to investigate the role of speech perception. The findings about speech perception abilities in dyslexics are inconsistent. The heterogeneity of dyslexia may be responsible for the inconsistency of findings. Considering the general suggestion that phonological awareness deficits in dyslexia are attributed to categorical perception deficits, it is more direct to examine whether children with phonological awareness difficulties or phonological dyslexia show speech categorization deficits consistently. The present study would investigate whether Chinese children with phonological awareness deficits or phonological dyslexia showed abnormal speech perception. The whole study consisted of two parts. Part I screened children with phonological-awareness deficits from Year 3 kindergartens and examined their abilities of perceiving native category continuum, nonnative category contrasts and non-speech sound series. Part II selected phonological dyslexics from an elementary school as participants, and further explored the relation between phonological deficits and speech perception. The first two experiments of Part II examined separately the abilities to label stimuli in native category continuum and brief stops in different contexts, the last experiment investigated the adaptation effects of different participant groups. The main conclusions are as follows: 1) Children with phonological dyslexia showed categorical perception deficits: they had lower consistency than controls when perceiving stimuli within phonetic categories, especially for the stimuli which were not natural sounds. 2) Children with phonological dyslexia exhibited a general difficulty of perceiving brief segments of stops from different contexts. 3) Children with phonological dyslexia did not show adaptation to repeatedly presented stimuli. Based on the present conclusions and the findings of previous studies, we suggested that the representations of sound stimuli in phonological dyslexics’ brains are different from those in normal children’s; the representations of sound stimuli in dyslexics’ cortical neural networks are more diffuse and inconsistent.

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This dissertation systematically depicted and improved the application of Independent Component Analysis (ICA) to Functional Magnetic Resonance Imaging (fMRI), following the logic of verification, improvement, extension, and application. The concept of “reproducibility” was the philosophy throughout its four concluded studies. In the “verification” study, ICA was applied to the resting-state fMRI data, verified the resultant components with reproducibility, and examined the consistency of the results from ICA and traditional “seed voxel” method. At the meantime, the limitation of ICA application on fMRI data analysis was presented. In the “improvement” study, an improved ICA algorithm based on reproducibility, RAICAR, was developed to aid some of the limitations of ICA application. RAICAR was able to rank ICA components by reproducibility, determine the number of reliable components, and obtain more stable results. RAICAR provided useful tools for validation and interpretation of ICA results. In the “extension” study, RAICAR as well as the concept of “reproducibility” was extended to multi-subject ICA analysis, and gRAICAR algorithm was developed. gRAICAR allows some variation across subjects, examining common components among subjects. gRAICAR is also capable to detect potential subject grouping on some components. It is a new way for exploratory group analysis on fMRI. In the “application” study, two newly developed methods, RAICAR and gRAICAR, were used to investigate the effect of early music training on the brain mechanism of memory and learning. The results showed brain mechanism difference in memory retrieval and learning process between two groups of subjects. This study also verified the usefulness and importance of the new methods.

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Stigma is defined as a sign of disgrace or discredit that sets a person apart from others. Stigmatized individuals had been significantly influenced by their group-based stigma. Through the methods of laboratory experiment and questionnaire surveys, the current study started with examining the attitudes of middle school students to the students with learning disabilities (LD), systemly explored the characteristics of perceived stigma and self-stigma of LD students, the mechanism that the influences of stigma on students with LD, and the mental control required to cope with the stigma. The results of the present studies had significant implications for the understanding of the LD phenomenon and the intervention of LD adolescents. The results indicate that: 1. Generally, middle school students had negative implicit attitude and negative explicit attitudes towards the LD students. The effect size of the phenomenon of this study is large. The LD students showed a more positive attitude than others on the explicit attitude measure; all students consistently had negative attitudes toward LD students on the implicit attitude indices, in addition, no group differences and gender differences were observed in the implicit attitude. 2. Eight hundred and seventy two students were surveyed to test the reliability and validity of the new developed perceived stigma scale and self-stigma scale. Both questionnaires showed sufficient content validity, construct validity, criterion-related validity and adequate internal consistency reliability. Then, both questionnaires were administered to student with high academic achievement (high achiever), students with middle academic achievement (middle achiever), and LD students. Results revealed that the LD students mildly stigmatized by the social culture. The LD students had more stigma perception and self-stigma than the middle achievers and high achievers. The results also indicated that there were more stigma perception and self-stigma for LD students in grade two than that of LD students in grade one and grade three; meanwhile, male LDstudent hade more stigma perception and self-stigma than female LD students in all grades. 3. A latent variable path analysis was conducted to investigate how the stigma affect the academic goals using the data collected from 186 LD students. The results suggested that the LD-related stigma did not have direct influence on academic goals. The LD-related stigma indirectly influenced the academic goals through mediating effects of self-stigma and academic efficacy. 4. Stereotype threat could have some influences on the relationship between the task feedback and self-esteem. The results of study using eighty-four LD students showed that: when the negative stereotype was not primed, the self-esteem of the LD students was significantly influenced by the feedback of the task: an enhance self-esteem following a positive feedback and a lower self-esteem following a negative feedback. When the negative stereotype was primed, there was no significantly difference between the positive feedback group and negative feedback group. All the results showed that priming the negative stereotype could weaken the influence of feedback to the self-esteem of LD students. 5. There was more cognitive and behavioral control when LD students tried to cope with the stigma by concealing negative academic achievement during an individual interview with an unfamilar expert. The LD students whose academic achievements could be concealed had more thought suppression and thought intrusion and reported more self-monitoring behavior than the participants in the other experimental conditions.

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Social psychologists have long been interested in understanding the conditions under which attitudes influence behaviors, and they have formed two relatively independent theoretical perspectives in the attitude-behavior domain. One perspective, which we adopt in the present paper, focuses on investigating the effect of attitude strength on the attitude-behavior relationship. Specifically, the present research investigates the role of structural consistency, a dimension of attitude strength, on the attitude-behavior relationship. Structural consistency has typically been defined as the extent to which one aspect of individual’s attitude is consistent with either his or her overall attitude toward the object or the other aspect of the attitude, including affective-cognitive consistency (ACC), evaluative-cognitive consistency (ECC) and evaluative-affective consistency (EAC). The ECC and EAC can be integrated into the attitude base. Despite the evidence that structural consistency is associated with attitude-behavior relationship, there are some limitations in previous studies: (1) attitude base and ACC have been rarely studied together ;( 2) researchers often used the term behavior in a broad sense to encompass behavioral intentions as well as actual behaviors ;( 3) the effects were all investigated at individual level. The present research tried to explore the effects of ACC and attitude base on attitude-behavioral intention-actual behavior relationships at individual and group levels in different behavior areas including shopping, supportive behavior towards officials, and offensive behavior towards governors and central and local governments. The roles of affective and cognitive components of attitudes on general attitudes and following behaviors were also examined in this research. The results indicated that: A. At individual and group levels, the effect of structural consistency on attitude –intention relation is as the same as its effect on attitude-behavior relation, but it varies in different areas. On the other hand, the effect of structural consistency on explicit attitude-behavior relation is different from its effect on implicit attitude-behavior relation. B. The cognitive components of the individuals and groups’ implicit attitudes towards officials, the implicit and explicit attitudes towards governors, and the public’s attitudes towards central and local governments exert the stronger influence on general attitudes. Similarly, the cognitive components also exert the stronger influence on groups’ supportive behaviors towards officials and offensive behaviors towards governors and governments. C. Both group attitude and emotion can influence the group offensive behavior towards governors. The group attitude exerts its influence through the mediating effects of behavior intention and group emotion. The group emotion which is the core factor can exert the direct influence on group offensive behavior towards governors. D. At individual and group levels, the implicit and explicit measures should be used together to collect the attitude data, because the implicit and explicit attitudes can both predict behaviors under most conditions. It is the best implicit attitude measure to use the experts’ evaluations of listed words. And the emotion should be measured by the experts’ evaluations of listed words if the emotion data is used to predict the following behavior.