台灣民主轉型的成功除執政菁英的主動變革外，公民參與政治和支持改革亦有其重要性。有鑑於逐年下滑的投票率和工具性社團參與率，本研究主要從制度變遷與社會資本論點來進行探討，以縣市層次制度變項為自變項，三類型社會資本為中介變項，投票與競選活動參與為依變項，目的在了解於民主鞏固時期前後，社會資本的分佈狀況和影響社會資本、政治參與的因素，以提升民眾的社會和政治參與。中介變項與依變項資料來自1993年與2005年台灣社會變遷調查資料(TSCS)，自變項資料整合自臺灣地區社會意向調查、各縣市社福資訊與政大選研中心資料庫，主要採用多層次迴歸與邏輯迴歸分析模型來分析資料。 在社會資本分布變化上，結合式社會資本與工具性社參未有顯著改變，情感性社參則顯著增加。相較於情感性社團參與，工具性社團參與的比例較高，在兩個年代中，民眾參與工具性社團比例約在22%左右。在社團內異質性資源分佈上，不同社團的年齡異質性與性別異質性隨不同時期而有所變化。相對地，各類社團在成員的教育、收入與族群組成上反而較為穩定。由於在2005年，民眾教育與收入顯著較1993年為高，意謂著在民主鞏固時期，團體參與者可接觸的社團內異質性資源較多。 並非所有社會資本皆受外在制度所影響，研究結果顯示出國家制度較難影響立基於儒家文化的結合式社會資本。在民主鞏固時期前，縣市執政評價氛圍與生活扶助資源如理論所預期，可影響民眾的情感性社會參與，但其影響力似乎亦有減弱情形。一致性社福資源雖對工具性社團參與有跨期影響力，但卻產生資源排擠效果，而非是資源溢注效果。 政治態度論與社會資本論皆能部份說明為何民眾要參與兩類傳統政治活動，但相較於投票，參與競選活動屬於較耗費成本的參與行為，因此個體資源論較能解釋競選活動的參與。以多層次中介分析步驟檢視縣市制度變項對政治參與的作用後，證實了制度論的作用。在制度變項可能透過社會資本影響政治參與的三條中介路徑，僅一條路徑得到實證上支持。在2005年，縣市急難救助資源可透過工具性社團參與進而影響競選活動參與。 制度變遷的觀點能說明不同時期情感性社團參與和投票的變化。傳統文化價值觀的現代化改變了縣市執政評價氛圍對情感性社團參與的作用。隨著非正式制度環境的改變，情感性社團參與對競選活動參與的作用亦可能隨之改變。而隨著社會福利政策綱領的施行，人均生活扶助資源量的提升，則促進個人的投票行為。總言之，中央政府應注意自身的施政效能，並透過社福資源的適度分配，來促進民眾的社會參與與政治參與行為。 / The success of the transition to democracy in Taiwan should attribute not only to the active reform of the ruling party' cadre, but also to citizens’ participation and political support for the political reformer. In view of the gradual declining turnout rate and instrumental group participation rate, the study tends to describe the distribution of social capital, and explore the potential factors influencing social capital and political participation before and after democratic consolidation period. The paper’s framework from the perspective of institutional change and social capital treats institutional change as the independent variable, three kinds of social capital as the mediated variable, and voting and electoral campaign participation as dependent variables. The study mainly applies the multilevel linear regression and logistic regression model to analyze the mediated and dependent variables from the Taiwan Social Change Survey in 1993 and 2005, separately. As for independent variables, the data is integrated from the Social Image Survey, the social welfare report across counties, and online database of election study center in national Chengchi University. As far as the distribution of social capital is concerned, the results show that the distribution of bonding social capital and instrumental group participation do not have significant change between 1993 and 2005. Compared with participation in 1993, in 2005, the increase of this emotional group participation is apparent. In both year, the instrumental group participation rate is about 22% and is higher than the emotional group participation. In the distribution of diverse resources within groups, age diversity and sex diversity change a lot as the time went by. In contrast, education diversity, income diversity and ethnicity diversity stay stable between groups. In comparison with 1993, people in 2005 have higher education and income level, resulting in the increase of group members’ education and income level. It means that in the democratic consolidation period, it is probable for group participators to approach more diverse resources existing within groups . The effect of institutional variables on the three kinds of social capital is not as same as previous literatures report. Bonding social capital based on confucianism is difficult to be enhanced by the national institutions. Before the democratic consolidation, the effect of living assistance resources, and the atmosphere where people are satisfied with the central government performance which is consistent with theoretical prediction affects people’s participation in the emotional group. However, the effect seems to weaken gradually at the later period. Universal social welfare resources influence the instrumental group participation across different periods, but the negative effect belongs to the crowing out effect rather than the crawling back effect. Political attitudes theory and social capital theory both can partly account for why people participate in these two kinds of traditional political activities. Individual resources theory is suitable for explaining the participation of electoral campaign in that it takes people much more time and cost to engage in the electoral campaign participation than in voting. After examing the effect of institutional variables at the county-level on the political participation through the procedure of multilevel mediation analysis, the findings proven the argument of institution theory. Among the three potential mediation paths in which the institutional variables impact on the political participation through social capital, just one path is supported by the data. In 2005, emergent assistant resources can affect the electoral campaign through the instrumental group participation. The perspective of institutional change can explain the change of the emotional group participation and voting between 1993 and 2005. With the modernization of individual’s traditional attitudes, the county-level effect of evaluation of the central government on the participation in the emotional group is abated. It is probable that the effect of the emotional group participation on the electoral campaign participation differs according to the different environment of the informal institution The increase of living assistant resources per capita, because of the execution of the guiding principle of the social welfare policy, promote people’s voting significantly. In sum up, the attention should be paid by the central authority to strengthen the efficiency of the administration and distribute the social welfare resources appropriately based on the contemporary social condition, in order to improve people’s social participation and political participation.

Submitted Diploma thesis deals with stress-strain analysis of deformation proximal end of femur with applied total hip joint endoprosthesis (replacement) – shortcut type. To identify deformation and tensity (stress) was used computational simulation by method of final elements. Have been created two computational models TEP- type Santori and type DePuy Proxima. Geometry model Santori was created on low level model geometry through the use of X-ray photograph. Principle of geometry model type DePuy Proxima was real Femoral stem endoprosthesis which was scanned on scanner ATOS. Geometry of both these replacements were set up in program Rhinoceros 4.0 and then execute in program CatiaV5R17. Data for geometry model of femur were gained from CT chains. Material model of femur have been crated in two variants. The first one looks at structure bone tissues and the second one were created by Gruen´s zones. Femoral Stem was weighted by static equivalent resultant force acting in hip joint. Computational model of system and self solution, including depiction results, was done by ANSYS Workbench 11.0 for four model variants.

<p dir="ltr">Deep Neural Networks (DNNs) successfully perform object detection tasks, and the Con- volutional Neural Network (CNN) backbone is a commonly used feature extractor before secondary tasks such as detection, classification, or segmentation. In a DNN model, the relationship between the features learned by the model from the training data and the features leveraged by the model during test and deployment has motivated the area of feature interpretability studies. The work presented here applies equally to white-box and black-box models and to any DNN architecture. The metrics developed do not require any information beyond the feature vector generated by the feature extraction backbone. These methods are therefore the first methods capable of estimating black-box model robustness in terms of latent space complexity and the first methods capable of examining feature representations in the latent space of black box models.</p><p dir="ltr">This work contributes the following four novel methodologies and results. First, a method for quantifying the invariance and/or equivariance of a model using the training data shows that the representation of a feature in the model impacts model performance. Second, a method for quantifying an observed domain gap in a dataset using the latent feature vectors of an object detection model is paired with pixel-level augmentation techniques to close the gap between real and synthetic data. This results in an improvement in the model’s F1 score on a test set of outliers from 0.5 to 0.9. Third, a method for visualizing and quantifying similarities of the latent manifolds of two black-box models is used to correlate similar feature representation with increase success in the transferability of gradient-based attacks. Finally, a method for examining the global complexity of decision boundaries in black-box models is presented, where more complex decision boundaries are shown to correlate with increased model robustness to gradient-based and random attacks.</p>

Chen, Chang, Wen and Lin (2013)提出馬可夫調控跳躍過程模型(MMJDM)描述股價指數報酬率，布朗運動項、跳躍項之頻率與市場狀態有關。然而，利率並非常數，本論文以狀態轉換模型配適零息債劵之動態過程，提出狀態轉換下的利率與具跳躍風險的股票報酬之二維模型(MMJDMSI)，並以1999年至2013年的道瓊工業指數與S&P 500指數和同期間之一年期美國國庫劵價格為實證資料，採用EM演算法取得參數估計值。經由概似比檢定結果顯示無論道瓊工業指數還是S&P 500指數，狀態轉換下利率與跳躍風險之股票報酬二維模型更適合描述報酬率。接著，利用Esscher轉換法推導出各模型下的股價指數之歐式買權定價公式，再對MMJDMSI模型進行敏感度分析以評估模型參數發生變動時對於定價公式的影響。最後，以實證資料對各模型進行模型校準及計算隱含波動度，結果顯示MMJDMSI在價內及價外時定價誤差為最小或次小，且此模型亦能呈現出波動度微笑曲線之現象。 / To model asset return, Chen, Chang, Wen and Lin (2013) proposed Markov-Modulated Jump Diffusion Model (MMJDM) assuming that the Brownian motion term and jump frequency are all related to market states. In fact, the interest rate is not constant, Regime-Switching Model is taken to fit the process of the zero-coupon bond price, and a bivariate model for interest rate and stock index return with regime-switching and dependent jump risks (MMJDMSI) is proposed. The empirical data are Dow Jones Industrial Average and S&P 500 Index from 1999 to 2013, together with US 1-Year Treasury Bond over the same period. Model parameters are estimated by the Expectation-Maximization (EM) algorithm. The likelihood ratio test (LRT) is performed to compare nested models, and MMJDMSI is better than the others. Then, European call option pricing formula under each model is derived via Esscher transformation, and sensitivity analysis is conducted to evaluate changes resulted from different parameter values under the MMJDMSI pricing formula. Finally, model calibrations are performed and implied volatilities are computed under each model empirically. In cases of in-the-money and out-the-money, MMJDMSI has either the smallest or the second smallest pricing error. Also, the implied volatilities from MMJDMSI display a volatility smile curve.

With the proliferation of 21st century educational technologies, science teaching and learning with digitally acclimatized learners in secondary science education can be realized through an online Science-Technology-Society-Environment (STSE)-based issues approach. STSE-based programs can be interpreted as the exploration of socially-embedded initiatives in science (e.g., use of genetically modified foods) to promote the development of critical cognitive processes and to empower learners with responsible decision-making skills. This dissertation presents a case study examining the online environment of a grade 11 physics class in an all-girls’ school, and the outcomes from those online discursive opportunities with STSE materials. The limited in-class discussion opportunities are often perceived as low-quality discussions in traditional classrooms because they originate from an inadequate introduction and facilitation of socially relevant issues in science programs. Hence, this research suggests that the science curriculum should be inclusive of STSE-based issue discussions. This study also examines the nature of students’ online discourse and, their perceived benefits and challenges of learning about STSE-based issues through an online environment. Analysis of interviews, offline classroom events and online threaded discussion transcripts draws from the theoretical foundations of critical reflective thinking delineated in the Practical Inquiry (P.I.) Model. The PI model of Cognitive Presence is situated within the Community of Inquiry framework,encompassing two other core elements, Teacher Presence and Social Presence. In studying Cognitive Presence, the online STSE-based discourses were examined according to the four phases of the P.I. Model. The online discussions were measured at macro-levels to reveal patterns in student STSE-based discussions and content analysis of threaded discussions. These analyses indicated that 87% of the students participated in higher quality STSE-based discussions via an online forum as compared to in-class. The micro-level analysis revealed students to attain higher cognitive interactions with STSE issues. Sixteen percent of the students’ threaded postings were identified in the Resolution Phase 4 when the teacher intervened with a focused teaching strategy. This research provides a significant theoretical and pedagogical contribution to blended approach to STSE-based secondary science education. It presents a framework for teachers to facilitate students’ online discussions and to support learners in exploring STSE-based topics.

With the proliferation of 21st century educational technologies, science teaching and learning with digitally acclimatized learners in secondary science education can be realized through an online Science-Technology-Society-Environment (STSE)-based issues approach. STSE-based programs can be interpreted as the exploration of socially-embedded initiatives in science (e.g., use of genetically modified foods) to promote the development of critical cognitive processes and to empower learners with responsible decision-making skills. This dissertation presents a case study examining the online environment of a grade 11 physics class in an all-girls’ school, and the outcomes from those online discursive opportunities with STSE materials. The limited in-class discussion opportunities are often perceived as low-quality discussions in traditional classrooms because they originate from an inadequate introduction and facilitation of socially relevant issues in science programs. Hence, this research suggests that the science curriculum should be inclusive of STSE-based issue discussions. This study also examines the nature of students’ online discourse and, their perceived benefits and challenges of learning about STSE-based issues through an online environment. Analysis of interviews, offline classroom events and online threaded discussion transcripts draws from the theoretical foundations of critical reflective thinking delineated in the Practical Inquiry (P.I.) Model. The PI model of Cognitive Presence is situated within the Community of Inquiry framework,encompassing two other core elements, Teacher Presence and Social Presence. In studying Cognitive Presence, the online STSE-based discourses were examined according to the four phases of the P.I. Model. The online discussions were measured at macro-levels to reveal patterns in student STSE-based discussions and content analysis of threaded discussions. These analyses indicated that 87% of the students participated in higher quality STSE-based discussions via an online forum as compared to in-class. The micro-level analysis revealed students to attain higher cognitive interactions with STSE issues. Sixteen percent of the students’ threaded postings were identified in the Resolution Phase 4 when the teacher intervened with a focused teaching strategy. This research provides a significant theoretical and pedagogical contribution to blended approach to STSE-based secondary science education. It presents a framework for teachers to facilitate students’ online discussions and to support learners in exploring STSE-based topics.