Regional Data

Spatiality is an increasingly important dimension in the social sciences, as a new wave of recent publications shows. Intra-national comparisons have proved to be as fruitful as the better known inter-national analysis. Regional characteristics are found to have considerable influence on individual behaviour. This movement was fostered by methodological advances, e.g. in multi-level techniques. On the data side spatial analysis is supported by a good basic infrastructure in official and semi-official information, often provided in the way of easily usable DVDs. In addition, both scientific researchers and commercial marketing firms collect valuable information, partly on a very detailed local level of only a handful of households. However, there is ample room for improvement. Huge existing datasets (e.g. PISA E) are not open for spatial oriented scientific purposes; in many cases regional information is not sufficiently available (e.g. on criminal behaviour); systematic over-sampling in sparsely inhabited areas to allow additional regional analysis is not very common.

Tests of the Rockwell Si:As Back-Illuminated Blocked-Impurity Band (BIBIB) detectors

Two arrays of Rockwell's Si:As back-illuminated blocked-impurity-band detectors were tested at the Max-Planck-Institute for Astronomy (MPIA) at low background and low temperature for possible use in the astronomical space experiment ISOPHOT. For these measurements special test equipment was put together. A cryostat was mechanically modified to accommodate the arrays and special peripheral electronics was added to a microprocessor system to drive the cold multiplexer and to acquire the output data. The first device, a 16x50 element array on a fan-out board was used to test individual pixels with a trans-impedance-amplifier at a photon background of 10(exp 8) Ph s(-1)cm(-2) and at temperatures of 2.7 to 4.4 K. The noise-equivalent-power NEP is in the range 5 - 7 x 10(exp -18) WHz(exp -1/2), the responsivity is less than or equal to 100 AW(exp -1)(f = 10 Hz). The second device was a 10x50 array including a cold readout electronics of switched FETs (SWIFET). Measurements of this array were done in a background range of 5 x 10(exp 5) to 5 x 10(exp 11) Ph s(exp-1)cm(exp-2) and at operating temperatures between 3.0 and 4.8 K. The NEP ranges from less than 10(exp -18) at the lowest background to 2 x 10(exp -16) WHz(exp -1/2) at the highest flux

Regional Data

Spatiality is an increasingly important dimension in the social sciences, as a new wave of recent publications shows. Intra-national comparisons have proved to be as fruitful as the better known inter-national analysis. Regional characteristics are found to have considerable influence on individual behaviour. This movement was fostered by methodological advances, e.g. in multi-level techniques. On the data side spatial analysis is supported by a good basic infrastructure in official and semi-official information, often provided in the way of easily usable DVDs. In addition, both scientific researchers and commercial marketing firms collect valuable information, partly on a very detailed local level of only a handful of households. However, there is ample room for improvement. Huge existing datasets (e.g. PISA E) are not open for spatial oriented scientific purposes; in many cases regional information is not sufficiently available (e.g. on criminal behaviour); systematic over-sampling in sparsely inhabited areas to allow additional regional analysis is not very common

Status of the isophot detector development

ISOPHOT is one of the four focal plane experiments of the European Space Agency's Infrared Space Observatory (ISO). Scheduled for a 1993 launch, it will operate extrinsic silicon and germanium photoconductors at low temperature and low background during the longer than 18 month mission. These detectors cover the wavelength range from 2.5 to 200 microns and are used as single elements and in arrays. A cryogenic preamplifier was developed to read out a total number of 223 detector pixels

Macro Micro Studio:A Prototype Energy Autonomous Laboratory

In 2011, the Departments of Architecture, Physics and Engineering began the development of a small Passivhaus standard, renewable energy self-sufficient studio at the University Botanical Gardens in Dundee. The prototype was conceived as an experimental, integrated technical platform to monitor the performance of an ultra-low-energy consumption, energy positive building in the Scottish climate, and understand user behaviour in relation to managing energy in-use and reducing occupant’s energy consumption. The building fabric has been constructed using regional sustainable materials, including a low-thermal bridging timber kit relying on Scottish small cross-section timber and a novel foam concrete (air entrained) slab foundation. While further work is required to complete the installation of the renewable energy system, predictive modelling indicates that energy autonomy can be largely achieved. With the recent introduction of the new Passivhaus 2009 criteria in October 2015, this project provides an insight into the practical application of an autarkic energy system in a northern European climate. The following paper describes the research rationale, the processes and decision making in the development of the formal and technical design of the building and discusses our current thinking in the design and quantification of the energy system

Regional Data

Spatiality is an increasingly important dimension in the social sciences, as a new wave of recent publications shows. Intra-national comparisons have proved to be as fruitful as the better known inter-national analysis. Regional characteristics are found to have considerable influence on individual behaviour. This movement was fostered by methodological advances, e.g. in multi-level techniques. On the data side spatial analysis is supported by a good basic infrastructure in official and semiofficial information, often provided in the way of easily usable DVDs. In addition, both scientific researchers and commercial marketing firms collect valuable information, partly on a very detailed local level of only a handful of households.However, there is ample room for improvement. Huge existing datasets (e.g. PISA E) are not open for spatial oriented scientific purposes; in many cases regional information is not sufficiently available (e.g. on criminal behaviour); systematic over-sampling in sparsely inhabited areas to allow additional regional analysis is not very common. [author's abstract

EVALUATING ICE HOCKEY SPECIFIC ABILITY TESTS

The purpose of this study was to evaluate on and off ice testing for hockey players. Eighteen National Collegiate Athletic Association (NCAA) level ice hockey players performed a series of on ice and off ice exercises, We compared the performance during these exercises to the plus minus scores for those players for the first half of their competitive season to identify which of those best correlate to performance on ice. The one ice sprints were performed as part of normal ice hockey practice. The off ice exercises were performed in the biomechanics and physiology laboratories at our university. Correlation analyses were performed to identify the extent to which the on ice and off ice drills were associated with on ice performance

Development and validation of a classification algorithm to diagnose and differentiate spontaneous episodic vertigo syndromes: results from the DizzyReg patient registry

BACKGROUND Spontaneous episodic vertigo syndromes, namely vestibular migraine (VM) and Menière's disease (MD), are difficult to differentiate, even for an experienced clinician. In the presence of complex diagnostic information, automated systems can support human decision making. Recent developments in machine learning might facilitate bedside diagnosis of VM and MD. METHODS Data of this study originate from the prospective patient registry of the German Centre for Vertigo and Balance Disorders, a specialized tertiary treatment center at the University Hospital Munich. The classification task was to differentiate cases of VM, MD from other vestibular disease entities. Deep Neural Networks (DNN) and Boosted Decision Trees (BDT) were used for classification. RESULTS A total of 1357 patients were included (mean age 52.9, SD 15.9, 54.7% female), 9.9% with MD and 15.6% with VM. DNN models yielded an accuracy of 98.4 ± 0.5%, a precision of 96.3 ± 3.9%, and a sensitivity of 85.4 ± 3.9% for VM, and an accuracy of 98.0 ± 1.0%, a precision of 90.4 ± 6.2% and a sensitivity of 89.9 ± 4.6% for MD. BDT yielded an accuracy of 84.5 ± 0.5%, precision of 51.8 ± 6.1%, sensitivity of 16.9 ± 1.7% for VM, and an accuracy of 93.3 ± 0.7%, precision 76.0 ± 6.7%, sensitivity 41.7 ± 2.9% for MD. CONCLUSION The correct diagnosis of spontaneous episodic vestibular syndromes is challenging in clinical practice. Modern machine learning methods might be the basis for developing systems that assist practitioners and clinicians in their daily treatment decisions

Generation Y & Web Design: Usability Through Eye Tracking

At eighty-two million people, Generation Y (18-31) is the largest generation since the Baby Boomers, spending $200 billion yearly. Little past research investigates the web preferences of Generation Y, although some oblique studies have been conducted. This study extends past research by looking specifically at the web design preferences of this important age group. Data is collected through subjective measures (self-report surveys) as well as objective measures (eye tracking). The eye tracker used in this study relies on reflections from the retina to gather data, therefore eliminating the need for headgear and thus allowing eye movement to be tracked unobtrusively. Analysis shows that Generation Y prefers web pages with a main large image, pictures of celebrities, a search feature, and little text. This study has important theoretical and practical implications for businesses and future research