A Simple Point Counting Algorithm for Hessian Elliptic Curves in Characteristic Three

Given an ordinary elliptic curve on Hesse form over a finite field of characteristic three, we give a sequence of elliptic curves which leads to an effective construction of the canonical lift, and obtain an algorithm for computing the number of points. Our methods are based on the study of an explicitly and naturally given 3-isogeny between elliptic curves on Hesse form.     

Modification semantics in now-relative databases

Most real-world databases record time-varying information. In such databases, the notion of “the current time,” or NOW, occurs naturally and prominently. For example, when capturing the past states of a relation using begin and end time columns, tuples that are part of the current state have some past time as their begin time and NOW as their end time. While the semantics of such variable databases has been described in detail and is well understood, the modification of variable databases remains unexplored. This paper defines the semantics of modifications involving the variable NOW. More specifically, the problems with modifications in the presence of NOW are explored, illustrating that the main problems are with modifications of tuples that reach into the future. The paper defines the semantics of modifications—including insertions, deletions, and updates—of databases without NOW, with NOW, and with values of the type NOW+Δ, where Δ is a non-variable time duration. To accommodate these semantics, three new timestamp values are introduced. Finally, implementation is explored. We show how to represent the variable NOW with columns of standard SQL data types and give a mapping from SQL on NOW-relative data to standard SQL on these columns. The paper thereby completes the semantics, the querying, and the modification of now-relative databases.     

Linking the bottom-up and top-down evolution of regional innovation systems to policy: organizations,support structures and learning processes

The literature is ambiguous about whether regional innovation systems (RIS) evolve bottom-up or top-down. This is reflected in RIS policies, which tend to focus on either development of the actor level, i.e. organizations in a RIS, or the system level, i.e. the support structure for innovation. Here, we analyzed a Norwegian RIS policy programme, the Programme for Regional R&D and Innovation (VRI), which aimed to combine both approaches. We found that VRI mainly developed the support structure for innovation and that learning outcomes from VRI involvement in organizations differed between the involved actor groups. This is particularly so for RIS development in regions inexperienced with support structure development prior to VRI involvement. Conversely, in regions with well-functioning support structures prior to VRI, the focus was most beneficially on stimulating learning at the actor level. We argue that future research should investigate mechanisms and interlinkages between the two levels and especially their regional particularities.     

Bayesian multiscale feature detection of log-spectral densities

A fully-automatic Bayesian visualization tool to identify periodic components of evenly sampled stationary time series, is presented. The given method applies the multiscale ideas of the SiZer-methodology to the log-spectral density of a given series. The idea is to detect significant peaks in the true underlying curve viewed at different resolutions or scales. The results are displayed in significance maps, illustrating for which scales and for which frequencies, peaks in the log-spectral density are detected as significant. The inference involved in producing the significance maps is performed using the recently developed simplified Laplace approximation. This is a Bayesian deterministic approach used to get accurate estimates of posterior marginals for latent Gaussian Markov random fields at a low computational cost, avoiding the use of Markov chain Monte Carlo techniques. Application of the given exploratory tool is illustrated analyzing both synthetic and real time series.     

The contradictory nature of knowledge: a challenge for understanding innovation in a local context and workplace development and for doing action research

The argument in this article is that knowledge is an important phenomenon to understand in order to discuss development and innovation in modern workplaces. Predominant theories on knowledge in organisation and innovation literature, we argue, are based on a dualist concept of knowledge. The arguments found in these theories argue for one type of knowledge in contrast to another. The most prevailing dualism is that between local and universal knowledge. We believe that arguing along this line does not bring us further in order to understand what knowledge is and what it does. We argue that there are contradictory arguments in the dualist conception of knowledge. We discuss how to move beyond this. We present a framework for discussing what knowledge is. We discuss what type of meta perspective will allow us to compare different knowledge kinds. We argue that insight into this has implications for understanding knowledge generation and innovation. An earlier version of this article has been presented as a paper at: 21st EGOS Collegium, June 30 to July 2, 2005, Berlin, Germany. Sub-theme 18: When Organization Studies Meet Economics: Alternative Philosophies of Knowledge Management and the Theory of the Firm. And a revised version was presented at the workshop: The Knowledge Economy: new directions in work organisation and regional innovation, Kingston University, London, September 1, 2006.

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Solving stress and compliance constrained volume minimization using anisotropic mesh adaptation,the method of moving asymptotes and a global p-norm

The p-norm often used in stress constrained topology optimisation supposedly mimics a delta function and it is thus characterised by a small length scale and ideally one would also prefer to have the solid-void transition occur over a small length scale, since the material in this transition does not have a clear physical interpretation. We propose to resolve these small length scales using anisotropic mesh adaptation. We use the method of moving asymptotes with interpolation of sensitivities, asymptotes and design variables between iterations. We demonstrate this combination for the portal and L-bracket problems with p=10, and we are able to investigate mesh dependence. Finally, we suggest relaxing the L-bracket problem statement by introducing a rounded corner.     

Differential relations of depression and social anxiety symptoms to the facets of extraversion/positive emotionality.

Previous research has shown that both depression and social anxiety—2 facets of internalizing psychopathology—are characterized by low levels of extraversion/positive emotionality (E/PE). However, little is known about the relations of the facets of E/PE with the symptoms of depression and social anxiety. This study utilized multiple measures of each facet of E/PE, as well as depression and social anxiety symptoms. Self-report data were collected from large samples of college students and psychiatric outpatients. Separate factor analyses in each sample revealed a 4-factor structure of E/PE consisting of Sociability, Positive Emotionality, Ascendance, and Fun-Seeking. Structural equation modeling revealed that, after controlling for the higher order internalizing factor and the overlap among the E/PE facets, social anxiety was broadly related to all 4 facets of E/PE, whereas depression was strongly related to only low positive emotionality. Implications for hierarchical models of personality and psychopathology, assessment and treatment, and etiological models are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Improving Yield and Defect Tolerance in Subthreshold CMOS Through Output-Wired Redundancy

This paper presents simulations of three different implementations of the minority-3 function, with special focus on mismatch analysis through statistical Monte Carlo-simulations. The simulations clearly favors the minority-3 Mirrored gate, and a gate-level redundancy scheme, where identical circuits with the same input drive the same output-node, is further explored as a means of increasing fault- and defect-tolerance. Important trade-offs between supply voltage, redundancy and yield are revealed, and V _DD = 175 mV is suggested as a minimum useful operating voltage, combined with a redundancy factor of 2, in 90 nm CMOS.