Executive function (EF) is a central aspect of cognition that undergoes significant changes in early childhood. Changes in EF in early childhood are robustly predictive of academic achievement and general quality of life measures later in adulthood. I develop a dynamic neural field (DNF) model which provides a process-based account of behavior and developmental change in a key task used to probe the early development of executive function--the Dimensional Change Card Sort (DCCS) task. In the DCCS, children must flexibly switch from sorting cards either by shape or color to sorting by the other dimension. Typically, 3-year-olds, but not 5-year-olds, lack the flexibility to do so and perseverate on the first set of rules when instructed to switch. In Study 1, I use the DNF model to integrate behavioral and neural processes by simulating hemodynamics associated with the early emergence of flexible rule-use. I then test predictions of the model using near-infrared spectroscopy. In Study 2, I develop a DCCS that can be used with adults that sheds light on key aspects of the task as they have been revealed with children. Using fMRI, a pattern of behavioral and neural effects shed light on the central processes involved in flexible rule-use. These two studies demonstrate that performance emerges as a property of system-wide interactions and that common neurocognitive effects .can be found between childhood and adulthood.

In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of the memory hierarchy of current computers. We study several graph algorithms and techniques of their design in this model. We consider graph searching, identifying connected components and computing maximal matching. We also study sorting and matrix multiplication as subproblems of many graph algorithms. In ad- dition to previously known algorithms, we present several new ones. We study their efficiency both by the means of asymptotic complexity and by benchmarking them on real hardware and we compare them with classical algorithms.

The Diploma thesis on the topic of Increased performance turbomachinery in EDU the NPR changing describes in detail some important devices of technology system of the secondary circuit of Dukovany Nuclear Power Plant together with their task in the thermal circulation. There is a computational model of secondary circuit according to the present thermal schema created in the main part of the thesis. At the end of the thesis, the possibilities of the increase of the terminal power of turbomachinery, specifically of the turbogenerator, by the exhange of low-pressure heaters (NPR) are stated. Obtained results are documented by drawings of the thermal schemes.

本研究旨在利用風險管控的方式，來協助電子製造業建立一套可有效的維持產品的綠色品質並降低產品的綠色風險的綠色品質風險管控模型，使得企業不致因產品在出貨後，被檢測出違反RoHS指令而使企業被罰以巨額款項並損失商譽。 回顧1997年12月聯合國氣候變化框架公約(UNFCCC)參加國第三次會議在日本京都舉行，並簽定了[京都議定書]之後，各國陸續制定出其各自的環保法令，其中又以歐盟於2003年2月通過並於2006年7月1日起實施限制鉛，鎘，汞，六價鉻，多溴聯苯，多溴聯苯醚等六項有害物質的RoHS指令的影響範圍最大且最為直接的影響到我國的產業，從而引發起了本研究的動機。 本研究透過與訪談個案的合作，實際從分析個案的產品研發生產的作業中，由影響RoHS的角度從作業一直剖析到管控內容，進而找到會影響RoHS品質不良的16個風險因子，並透過建立的監控系統來進行風險因子的資料採樣，最後經由羅吉斯迴歸模型，建立出一套風險計算模型，以連接RoHS風險因子的監控系統而成為一套綠色品質風險管控模型。 / The objective of this research is to help electronic manufacturers to establish a Green Quality Risk Management Model, which can effectively keep green quality and decrease green quality risk of products. Consequently, companies can prevent huge amount of fine and goodwill impairment caused by RoHS violation of their shipments. After the participants of UNFCCC held the third meeting in Kyoto, Japan and ratified the Kyoto Protocol in December 1997, every country created its environmental regulations in secession. Among those regulations, the RoHS directive, which prohibits the usage of Lead, Mercury, Cadmium, Hexavalent chromium (Cr6+), Polybrominated biphenyls (PBB)and Polybrominated diphenyl ether (PBDE), adopted in February 2003 and activated in January 2006 by the European Union resulted in most pervasive and direct impact on Taiwanese industry, consequently creating the incentive for this research. By the cooperation of case interview, this research analyze the research and development operations of interviewees with the perspectives from primary operations to floor control in order to identify sixteen risk factors of RoHS quality, and sample the data of risk factors with established control system. Finally, a green quality risk management model was created by the establishment of a risk computation model in connection with RoHS risk factor control system was established using Logistic Regression model.