<p>Numbers of persons with a higher education have inclined fast during the last dec-ades, as the University sector in Sweden has increased. This due to that the Swedish government has had a very encouraging attitude towards the Universities position for economic regional growth. The aim of this thesis is to see if there are any relationships between students at a University in a region and the number of patents that have been applied for in the same region using data taken from European patent of-fice and Statistics Sweden. Patent is one way to measure innovations, and knowledge is one of the core foundations for new innovations. Different models have been used to determine if any significant relationship between patent applications and number of people with higher education is present. The empirical findings came up with the results that numbers of people with higher education have positive relationship with University regions. The two variables, people with higher technical education and research and development at Universities also showed positive significant results, which gives support for the chosen theories in the thesis. It is hard to say that the decen-tralization of the Swedish universities have been a total success, because in the thesis results were found which shoed that the Malmö region was outstanding in terms of patent applications. In this region many different Universities and private R&D de-partments are located, together with students etc. Further research in this field has to be conducted to be able to give the policy maker better foundation for decisions.</p>

Thesis--University of Helsinki, 1994. / N° de "Annales Academiae scientiarum Fennicae. Series A1, Mathematica. Dissertationes", ISSN 0355-0087, (1994)94. Bibliogr. p. 46-48.

The web is evolving: what was once primarily used for sharing static content has now evolved into a platform for rich client-side applications. These applications do not run exclusively on the client; while the client is responsible for presentation and some processing, there is a significant amount of processing and persistence that happens server-side. This has advantages and disadvantages. The biggest advantage is that the user’s data is accessible from anywhere. It doesn’t matter which device you sign into a web application from, everything you’ve been working on is instantly accessible. The largest disadvantage is that large numbers of servers are required to support a growing user base; unlike traditional client applications, an organization making a web application needs to provision compute and storage resources for each expected user. This infrastructure is designed in tiers that are responsible for different aspects of the application, and these tiers may not even be run by the same organization. As these systems grow in complexity, it becomes progressively more challenging to identify and solve performance problems. While there are many measures of software system performance, web application users only care about response latency. This “fingertip-to-eyeball performance” is the only metric that users directly perceive: when a button is clicked in a web application, how long does it take for the desired action to complete? MT-WAVE is a system for solving fingertip-to-eyeball performance problems in web applications. The system is designed for doing multi-tier tracing: each piece of the application is instrumented, execution traces are collected, and the system merges these traces into a single coherent snapshot of system latency at every tier. To ensure that user-perceived latency is accurately captured, the tracing begins in the web browser. The application developer then uses the MT-WAVE Visualization System to explore the execution traces to first identify which system is causing the largest amount of latency, and then zooms in on the specific function calls in that tier to find optimization candidates. After fixing an identified problem, the system is used to verify that the changes had the intended effect. This optimization methodology and toolset is explained through a series of case studies that identify and solve performance problems in open-source and commercial applications. These case studies demonstrate both the utility of the MT-WAVE system and the unintuitive nature of system optimization.

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With the progress of microfabrication and nanofabrication technologies, there has been a reawakened interest in the possibility of controlling the propagation of light in various materials periodically structured at a scale comparable to, or slightly smaller than the wavelength. We can now engineer materials with periodic structures to implement a great variety of optical phenomena. These include well known effects, such as dispersing a variety of wavelength to form a spectrum and diffracting light and controlling its propagation directions, to new ones such as prohibiting the propagation of light in certain directions at certain wavelengths and localizing light with defects in some artificially synthesized dielectric materials. Advances in this field have had tremendous impact on modern optical and photonic technologies. This doctoral research was aimed at investigating some of the physics and applications of periodic structures for building blocks of the optical communication and interconnection system. Particular research emphasis was placed on the exploitation of innovative periodic structure-based optical and photonic devices featuring better functionality, higher performance, more compact size, and easier fabrication. Research topics extended from one-dimensional periodic-structure-based wavelength-division-multiplexing (WDM) optical interconnects (beam wavelength selection devices), and liquid crystal beam steerers (beam steering devices), to two-dimensional periodic-structure-based silicon photonic-crystal thermo-optic and electro-optic modulators (beam switching devices). This research was specifically targeted to seek novel and effective solutions to some long-standing technical problems, such as the limited wavelength coverage of coarse WDM devices, small bandwidth of highly dispersed dense WDM devices, low deflection efficiency of high-resolution liquid crystal beam steerers, slow switching speed, large device size, and high power consumption of silicon optical modulators, among others. For each subtopic, research challenges were presented and followed by the proposed solutions with extensive theoretical analysis. The proposals were then verified by experimental implementations. Experimental results were carefully interpreted and the future improvements were also discussed.

To make progress in the face of failures, long-running parallel applications need to save their state, known as a checkpoint. Unfortunately, current checkpointing techniques are becoming untenable on large-scale supercomputers. Many applications checkpoint all processes simultaneously--a technique that is easy to implement but often saturates the network and file system, causing a significant increase in checkpoint overhead. This thesis introduces compiler-assisted staggered checkpointing, where processes checkpoint at different places in the application text, thereby reducing contention for the network and file system. This checkpointing technique is algorithmically challenging since the number of possible solutions is enormous and the number of desirable solutions is small, but we have developed a compiler algorithm that both places staggered checkpoints in an application and ensures that the solution is desirable. This algorithm successfully places staggered checkpoints in parallel applications configured to use tens of thousands of processes. For our benchmarks, this algorithm successfully finds and places useful recovery lines that are up to 37% faster for all configurations than recovery lines where all processes write their data at approximately the same time. We also analyze the success of staggered checkpointing by investigating sets of application and system characteristics for which it reduces network and file system contention. We find that for many configurations, staggered checkpointing reduces both checkpointing time and overall execution time. To perform these analyses, we develop an event-driven simulator for large-scale systems that estimates the behavior of the network, global file system, and local hardware using predictive models. Our simulator allows us to accurately study applications that have thousands of processes; it on average predicts execution times as 83% of their measured value. / text

The aim of this paper is to summarize Professor McAdam’s course on the applications of calculus by showing how calculus can be applied within mathematical situations by understanding concepts in physics. Aside from using calculus to assist in maximizing or minimizing situational problems, it is important to understand how the rules of calculus came to be. This paper shows origins of a few of the many rules used in calculus, applications in economics, plane flight, dogs fetching sticks, and relativity in space. / text

The primary purpose of this study was to determine what factors influence the integration of educational technology as perceived by Texas teachers. The secondary purpose was to examine the relationships between the determinant factors. This study answered the following questions: 1) Are there significant differences in teachers’ perception of school technology and readiness across grade level and subject area? 2) Are there significant differences in teacher-principal technology readiness congruence across school percentage of economically disadvantaged students? 3) How do teachers’ perceived levels of technology readiness predict student mastery of Technology Applications (TA) TEKS? To address the research questions quantitative procedures were followed to investigate whether significant relationships existed among dependent variables, school technology and readiness, and teacher-principal school technology and readiness congruence, and the independent variables (a) grade level, (b) subject area, and (c) percentage of economically disadvantaged students. Data analysis indicated significant differences in teacher school technology and readiness perceptions by grade level and subject area, and significant differences in teacher-principal school technology and readiness congruence by school percentage of economically disadvantaged students. Using path analysis a theorized Texas School Technology and Readiness Effects Model was validated. The findings were that (a) teachers in higher grade levels and more technical subject areas perceived their school technology and readiness at significantly higher levels; (b) as the percentage of economically disadvantaged student increased in a school, teachers perceived their school technology readiness at lower levels and were less congruent between their perceived school technology and readiness and their principals’ ratings of the teachers’ school technology and readiness; and (c) Leadership Administration and Instructional Support, followed by Infrastructure for Technology, Educator Preparation and Development, and Instruction Practice were the main drivers for student mastery of Technology Applications (TA) related Texas Essential Knowledge and Skills (TEKS). / text