914 resultados para 2202 History and Philosophy of Specific Fields
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We present a "boundary version" for theorems about minimality of volume and energy functionals on a spherical domain of an odd-dimensional Euclidean sphere.
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Three-dimensional flow visualization plays an essential role in many areas of science and engineering, such as aero- and hydro-dynamical systems which dominate various physical and natural phenomena. For popular methods such as the streamline visualization to be effective, they should capture the underlying flow features while facilitating user observation and understanding of the flow field in a clear manner. My research mainly focuses on the analysis and visualization of flow fields using various techniques, e.g. information-theoretic techniques and graph-based representations. Since the streamline visualization is a popular technique in flow field visualization, how to select good streamlines to capture flow patterns and how to pick good viewpoints to observe flow fields become critical. We treat streamline selection and viewpoint selection as symmetric problems and solve them simultaneously using the dual information channel [81]. To the best of my knowledge, this is the first attempt in flow visualization to combine these two selection problems in a unified approach. This work selects streamline in a view-independent manner and the selected streamlines will not change for all viewpoints. My another work [56] uses an information-theoretic approach to evaluate the importance of each streamline under various sample viewpoints and presents a solution for view-dependent streamline selection that guarantees coherent streamline update when the view changes gradually. When projecting 3D streamlines to 2D images for viewing, occlusion and clutter become inevitable. To address this challenge, we design FlowGraph [57, 58], a novel compound graph representation that organizes field line clusters and spatiotemporal regions hierarchically for occlusion-free and controllable visual exploration. We enable observation and exploration of the relationships among field line clusters, spatiotemporal regions and their interconnection in the transformed space. Most viewpoint selection methods only consider the external viewpoints outside of the flow field. This will not convey a clear observation when the flow field is clutter on the boundary side. Therefore, we propose a new way to explore flow fields by selecting several internal viewpoints around the flow features inside of the flow field and then generating a B-Spline curve path traversing these viewpoints to provide users with closeup views of the flow field for detailed observation of hidden or occluded internal flow features [54]. This work is also extended to deal with unsteady flow fields. Besides flow field visualization, some other topics relevant to visualization also attract my attention. In iGraph [31], we leverage a distributed system along with a tiled display wall to provide users with high-resolution visual analytics of big image and text collections in real time. Developing pedagogical visualization tools forms my other research focus. Since most cryptography algorithms use sophisticated mathematics, it is difficult for beginners to understand both what the algorithm does and how the algorithm does that. Therefore, we develop a set of visualization tools to provide users with an intuitive way to learn and understand these algorithms.
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by Jos. Krauskopf and Henry Berkowitz
Explaining Emergence and Consequences of Specific Formal Controls in IS Outsourcing – A Process-View
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IS outsourcing projects often fail to achieve project goals. To inhibit this failure, managers need to design formal controls that are tailored to the specific contextual demands. However, the dynamic and uncertain nature of IS outsourcing projects makes the design of such specific formal controls at the outset of a project challenging. Hence, the process of translating high-level project goals into specific formal controls becomes crucial for success or failure of IS outsourcing projects. Based on a comparative case study of four IS outsourcing projects, our study enhances current understanding of such translation processes and their consequences by developing a process model that explains the success or failure to achieve high-level project goals as an outcome of two unique translation patterns. This novel process-based explanation for how and why IS outsourcing projects succeed or fail has important implications for control theory and IS project escalation literature.
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CYP2D6 is a human cytochrome P450 that is responsible for the metabolism of a large number of drugs and chemicals. Interest in CYP2D6 has largely centered on the wide interindividual variability in its catalytic activity that stems from a common genetic polymorphism in the CYP2D6 gene. Two major phenotypes exist, extensive metabolizer (EM) and poor metabolizer (PM), together with the two less studied phenotypes of ultrarapid metabolizer (UM) and intermediate metabolizer. These phenotypes are the expression of an underlying allelomorphism in CYP2D6 and are also context dependent. Several drugs that are CYP2D6 substrates display polymorphic metabolism, that is, the existence in the population of multiple phenotypes, in particular EM and PM. The most notable drugs in this regard are debrisoquine and sparteine, although there are also data for a few others, in particular, dextromethorphan and metoprolol. Many nongenetic factors can alter the expression of CYP2D6 phenotypes, the most significant of which is the presence of other drugs. In this context, the EM phenotype may not be immutable, with potential conversion into a PM phenocopy, due to significantly impaired CYP2D6 metabolism in the presence of other CYP2D6 substrates and inhibitors. This phenotype interconversion generated great concern and helped drive the movement away from phenotyping based upon drug administration to genotyping of acquired DNA samples. However, ascertaining the presence of CYP2D6 alleles in a DNA sample does not determine the metabolism and pharmacokinetics of CYP2D6 substrates in that subject: it is a forecast, much like the weather forecast and, as we all know regarding the weather, the forecast can be inaccurate at times.
On degeneracy and invariances of random fields paths with applications in Gaussian process modelling
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We study pathwise invariances and degeneracies of random fields with motivating applications in Gaussian process modelling. The key idea is that a number of structural properties one may wish to impose a priori on functions boil down to degeneracy properties under well-chosen linear operators. We first show in a second order set-up that almost sure degeneracy of random field paths under some class of linear operators defined in terms of signed measures can be controlled through the two first moments. A special focus is then put on the Gaussian case, where these results are revisited and extended to further linear operators thanks to state-of-the-art representations. Several degeneracy properties are tackled, including random fields with symmetric paths, centred paths, harmonic paths, or sparse paths. The proposed approach delivers a number of promising results and perspectives in Gaussian process modelling. In a first numerical experiment, it is shown that dedicated kernels can be used to infer an axis of symmetry. Our second numerical experiment deals with conditional simulations of a solution to the heat equation, and it is found that adapted kernels notably enable improved predictions of non-linear functionals of the field such as its maximum.
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This research examined the effect of marital status and gender on various indicators of psychological adaptation, namely depressive symptoms, loneliness, and life satisfaction. It further explores the role of trait resilience, marital history, and context of death for predicting These outcomes in bereaved individuals. Four hundred eighty widowed individuals aged between 60 and 89 were compared with 759 married peers. Main effects were found for marital status and gender for all indicators. The regression analyses illustrate the multifaceted structure of psychological adaptation. Trait resilience is a key factor in adapting to spousal bereavement, whereas marital history and the context are secondary.
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by C[onstance] and A[nna] de Rothschild
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