An augmented method for free boundary problems with moving contact lines

An augmented immersed interface method (IIM) is proposed for simulating one-phase moving contact line problems in which a liquid drop spreads or recoils on a solid substrate. While the present two-dimensional mathematical model is a free boundary problem, in our new numerical method, the fluid domain enclosed by the free boundary is embedded into a rectangular one so that the problem can be solved by a regular Cartesian grid method. We introduce an augmented variable along the free boundary so that the stress balancing boundary condition is satisfied. A hybrid time discretization is used in the projection method for better stability. The resultant Helmholtz/Poisson equations with interfaces then are solved by the IIM in an efficient way. Several numerical tests including an accuracy check, and the spreading and recoiling processes of a liquid drop are presented in detail. (C) 2010 Elsevier Ltd. All rights reserved.

Heat Transfer Problems Induced By Multi-shocks Interaction

Numerical simulations of the multi-shock interactions observable around hypersonic vehicles were carried out by solving Navier-Stokes equations with the AUSMPW scheme and the new type of the IV interaction created by two incident shock waves was investigated in detail. Numerical results show that the intersection point of the second incident shock with the bow shock plays important role on the flow pattern, peak pressures and heat fluxes. In the case of two incident shocks interacting with the bow shock at the same position, the much higher peak pressure and more severe heat transfer rate are induced than the classical IV interaction. The phenomenon is referred to as the multi-shock interaction and higher requirements will be imposed on thermal protection systems.

solving global unconstrained optimization problems by symmetry-breaking

IEEE Computer Society; International Association for; Computer and Information Science, ACIS

a computational proof of complexity of some restricted counting problems

South Central University

A HYBRID METHOD OF FRACTIONAL STEPS WITH PREDICTOR-CORRECTOR DIFFERENCE-PSEUDOSPECTRUM FOR NUMERICAL-SOLUTION OF THE CONVECTION-DOMINATED FLOW PROBLEMS

A fractional-step method of predictor-corrector difference-pseudospectrum with unconditional L(2)-stability and exponential convergence is presented. The stability and convergence of this method is strictly proved mathematically for a nonlinear convection-dominated flow. The error estimation is given and the superiority of this method is verified by numerical test.

中职生的成就动机与行为问题的关系

Achievement motive is human’s social motive. In some sense, one’s all-life achievements are decided by his/her achievement motive. By which we can conclude that achievement motive has close connection with individual emotional experience. People pursuing success experience more positive emotion and less negative one, and have good behavioral adaptability. This study aims at explore the relation between achievement motive and behavior problems in the secondary vocational education schools through questionaries (the achievement motivation scale, UCLA Loneliness Scale，State-Trait Anxiety Inventory，Center for Epidemiologic Studies depression Scale and middle school students'behavior questionnaire). There were 1005 students whose age ranged from 14to21 years completed the questionnaires. The main conclusions of this thesis are as follows: (1) Achievement motive of student in the secondary vocational education schools is significantly lower than that of students in the senior high school. (2) Students in the secondary vocational education schools show more obvious emotion and Externalizing behavior problems than those of the senior high schools. (3) Students’ motivation for pursuing success in the secondary vocational education schools has negative correlation with emotion and Externalizing behavior problem, while the motivation for avoiding failure has positive correlation with the emotion and Externalizing behavior problem. Achievement motivation has negative correlation with emotion and Externalizing behavior problem. (4) Students’ achievement motivation shows obvious gender difference in the secondary vocational education schools. The avoiding failure element shows upward trend with the grades increasing and the difference is obvious. While the students’ achievement motive in the secondary vocational education schools shows significantly downward trend with the grades increasing. Whether holding a post at school has influence on the students’ achievement motivation, and the difference is significant. (5) Students’ Externalizing behavior problem in the secondary vocational education schools shows obvious gender difference. Whether holding a post at school has influence on the students’ Externalizing behavior problem, and depression and loneliness, and the difference is significant. Key words: Students in the Secondary Vocational Education Schools, Achievement Motivation, Behavior Problem, Emotion Problem, Externalizing Behavior Problem (Note: In this study, the behavior problems include not only the externalizing behavior problems, but also emotion problems.)

亲子依恋对大学生人际关系影响的性别效应

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.

问题青少年的自尊及家庭因素研究

The present paper studies the explicit, implicit, and combined (explicit and implicit) self-esteem of troubled youths in comparison to normal youths. Influential family factors are also discussed. The main results of this paper can be summarized as follows： 1. The explicit self-esteem of troubled youths is significantly lower than that of normal youths. 2. In comparison to normal youths, troubled youths are more likely to come from divorced and remarried families, and have parents with lower levels of education; troubled youths also experience significantly greater amounts of physical and sexual abuse and emotional and physical neglect. 3. For troubled youths, the closer they are with their parents,the higher their explicit self-esteem; abuse experiences in childhood significantly predict low explicit self-esteem; and high explicit self-esteem can be predicted by communication, trust, intimacy and enjoyment with their parents. For normal youths, only low explicit self-esteem can be predicted by abuse experiences in childhood. 4. The implicit self-esteem of troubled youths is significantly higher than that of normal youths. 5. The implicit self-esteem of troubled youths is affected by their parents’marrital status; youths from divorced families have higher implicit self-esteem than those from intact families. Low implicit self-esteem in normal youths can be predicted by communication,trust, intimacy and enjoyment with their mothers. 6. Youths with low explicit self-esteem and high implicit self-esteem (LEHI) form the greatest proportion of the total number of troubled youths, and youths with high explicit self-esteem and low implicit self-esteem (HELI) form the greatest proportion of normal youths. Youths with LEHI have the most abuse experiences in childhood, the worst parent-child relationships and the most mental problems; In contrast, youth with HELI have the least abuse experiences, the best parent-child relationships and the least mental problems of the four categories of combined self-esteem. Furthermore, the combined self-esteem of youths can be predicted by abuse experiences in childhood.

金融工作者的抑郁症状的影响因素及其形成机制研究

Ill-health prevails in the workplace. A key problem encountered in the area of stress management is a lack of research into the way job burnout turns into mental problems, especially depressive symptoms, the most prevalent and costly psychiatric condition in the workplace. This research belongs to a cross-discipline area of industrial psychiatry and organizational behavior, which has seldom been investigated before. This research will contribute to the theoretical development of organizational behavior, especially to stress management and industrial psychiatry. This study aims to explore etiological factors and mechanisms of depressive symptoms of workers in the financial industry. By using literature review, semi-structured interviews and surveys as the major research methods, this Ph.D. study systematically investigated the risk factors of workers’ depressive symptoms within and outside of the work area. These risk factors are worker-work environment fits, work family conflicts, and workers’ psychological vulnerabilities to depression. A thorough literature review and 20 semi-structured interviews of brokers in different kinds of financial markets show the feasibility and necessity of this Ph.D. study when it comes to the issue of financial workers’ depressive symptoms. Two surveys of workplace-etiological factors of depressive symptoms were conducted among 244 financial workers and 1024 financial workers. This cross-sample verification showed that worker-work environment fit was a good framework to study risk factors of workers’ depressive symptoms. Results revealed that job demands-abilities misfit could lead to job burnout which in turn contributed to worker’s depressive symptoms; besides this, work effort-reward imbalance could directly cause workers’ depressive symptoms. Emotional labor enhanced the positive effect of job burnout on workers’ depressive symptoms. In the third study, a prominent risk factor outside of the work area, namely work family conflict, and workers’ psychological vulnerabilities of depression were included with workplace etiological factors to investigate the overall predictive model of depressive symptoms of financial workers. The survey was conducted among the same 1024 financial workers. Results indicated that work effort-reward imbalance, job burnout and work interfering in family life were three external etiological factors of workers’ depressive symptoms. Neuroticism, autonomy and low emotional intelligence were three individual etiological factors which had a positive effect on workers’ depressive symptoms. Moreover, neuroticism enhanced the relationship between job burnout and depressive symptoms as well as between work interfering in family life and depressive symptoms. Autonomy aggravated the relationship between job burnout and depressive symptoms. However, emotional intelligence attenuated the relationship between job burnout and depressive symptoms as well as between work effort-reward imbalance and depressive symptoms. Besides, workers’ dysfunctional attitudes played a partial mediating role in the relationships between above etiological factors and depressive symptoms. In the same sample, research evidence of impairments of workers’ depressive symptoms to their work-life quality was also obtained. Specifically, depressive symptoms could predict workers’ presenteeism, absenteeism and turnover intention. Their subjective well-being was also lowered when suffering more severe depressive symptoms. This research provides a theoretical basis to management practices targeted to set up the Employee Assistance Program or even more specilised rehabilitation programs for workers with depressive symptoms so as to improve their work-life quality and and establish a harmonious enterprise.

Basis Reduction Algorithms and Subset Sum Problems

This thesis investigates a new approach to lattice basis reduction suggested by M. Seysen. Seysen's algorithm attempts to globally reduce a lattice basis, whereas the Lenstra, Lenstra, Lovasz (LLL) family of reduction algorithms concentrates on local reductions. We show that Seysen's algorithm is well suited for reducing certain classes of lattice bases, and often requires much less time in practice than the LLL algorithm. We also demonstrate how Seysen's algorithm for basis reduction may be applied to subset sum problems. Seysen's technique, used in combination with the LLL algorithm, and other heuristics, enables us to solve a much larger class of subset sum problems than was previously possible.

Model Selection for Solving Kinematics Problems

There has been much interest in the area of model-based reasoning within the Artificial Intelligence community, particularly in its application to diagnosis and troubleshooting. The core issue in this thesis, simply put, is, model-based reasoning is fine, but whence the model? Where do the models come from? How do we know we have the right models? What does the right model mean anyway? Our work has three major components. The first component deals with how we determine whether a piece of information is relevant to solving a problem. We have three ways of determining relevance: derivational, situational and an order-of-magnitude reasoning process. The second component deals with the defining and building of models for solving problems. We identify these models, determine what we need to know about them, and importantly, determine when they are appropriate. Currently, the system has a collection of four basic models and two hybrid models. This collection of models has been successfully tested on a set of fifteen simple kinematics problems. The third major component of our work deals with how the models are selected.

Combining Associational and Causal Reasoning to Solve Interpretation and Planning Problems

This report describes a paradigm for combining associational and causal reasoning to achieve efficient and robust problem-solving behavior. The Generate, Test and Debug (GTD) paradigm generates initial hypotheses using associational (heuristic) rules. The tester verifies hypotheses, supplying the debugger with causal explanations for bugs found if the test fails. The debugger uses domain-independent causal reasoning techniques to repair hypotheses, analyzing domain models and the causal explanations produced by the tester to determine how to replace faulty assumptions made by the generator. We analyze the strengths and weaknesses of associational and causal reasoning techniques, and present a theory of debugging plans and interpretations. The GTD paradigm has been implemented and tested in the domains of geologic interpretation, the blocks world, and Tower of Hanoi problems.

Probabilistic Solution of Inverse Problems

In this thesis we study the general problem of reconstructing a function, defined on a finite lattice from a set of incomplete, noisy and/or ambiguous observations. The goal of this work is to demonstrate the generality and practical value of a probabilistic (in particular, Bayesian) approach to this problem, particularly in the context of Computer Vision. In this approach, the prior knowledge about the solution is expressed in the form of a Gibbsian probability distribution on the space of all possible functions, so that the reconstruction task is formulated as an estimation problem. Our main contributions are the following: (1) We introduce the use of specific error criteria for the design of the optimal Bayesian estimators for several classes of problems, and propose a general (Monte Carlo) procedure for approximating them. This new approach leads to a substantial improvement over the existing schemes, both regarding the quality of the results (particularly for low signal to noise ratios) and the computational efficiency. (2) We apply the Bayesian appraoch to the solution of several problems, some of which are formulated and solved in these terms for the first time. Specifically, these applications are: teh reconstruction of piecewise constant surfaces from sparse and noisy observationsl; the reconstruction of depth from stereoscopic pairs of images and the formation of perceptual clusters. (3) For each one of these applications, we develop fast, deterministic algorithms that approximate the optimal estimators, and illustrate their performance on both synthetic and real data. (4) We propose a new method, based on the analysis of the residual process, for estimating the parameters of the probabilistic models directly from the noisy observations. This scheme leads to an algorithm, which has no free parameters, for the restoration of piecewise uniform images. (5) We analyze the implementation of the algorithms that we develop in non-conventional hardware, such as massively parallel digital machines, and analog and hybrid networks.