The Impact of Employment Web Sites' Traffic on Unemployment: A Cross Country Comparison

Although employment web sites have recently become the main source for re- cruitment and selection process, the relation between those sites and unemploy- ment rates is seldom addressed. Deriving data from 32 countries and 427 web sites, this study explores the correlation between unemployment rates of European countries and the attractiveness of country specific employment web sites. It also compares the changes in unemployment rates and traffic on all the aforementioned web sites. The results showed that there is a strong correlation between web sites traffic and unemployment rates.Comment: 9 page

Analysis of hospital service areas in Istanbul

After 1950's, the rapid expansion of Istanbul has created tremendous demand for new public facilities as well as the need for evaluation of existing facilities. Although the service areas of hospital is a very important information in order to use efficently scarce resources, there are very few studies on this subject in devoloping countries. This study investigates the spatial behavior of in patients in relation to three different types of hospitals ( teaching, general public and private) in order to provide background for the efficient planning of health facilities in Istanbul. According to the results, all three types of hospitals receive patients from different parts of the city as well as throughout the country. The service areas of these hospitals are investigated also according to their location within the different zones of the city. As the speciality of the hospitals increases, the density of the patients becomes more widely distributed than the local hospitals. According to the results, the areas which are not served by any hospital are determined. Further, research is suggested on more detailed analysis of spatial behavior of patients with respect to patients' characteristics.

Analysis of hospital service areas in Istanbul

After 1950's, the rapid expansion of Istanbul has created tremendous demand for new public facilities as well as the need for evaluation of existing facilities. Although the service areas of hospital is a very important information in order to use efficently scarce resources, there are very few studies on this subject in devoloping countries. This study investigates the spatial behavior of in patients in relation to three different types of hospitals ( teaching, general public and private) in order to provide background for the efficient planning of health facilities in Istanbul. According to the results, all three types of hospitals receive patients from different parts of the city as well as throughout the country. The service areas of these hospitals are investigated also according to their location within the different zones of the city. As the speciality of the hospitals increases, the density of the patients becomes more widely distributed than the local hospitals. According to the results, the areas which are not served by any hospital are determined. Further, research is suggested on more detailed analysis of spatial behavior of patients with respect to patients' characteristics

A Novel Approach to Minimizing the Risks of Soft Errors in Mobile and Ubiquitous Systems

A novel approach to minimizing the risks of soft errors at modelling level of mobile and ubiquitous systems is outlined. From a pure dependability viewpoint, critical components, whose failure is likely to impact on system functionality, attract more attention of protection/prevention mechanisms (against soft errors) than others do. Tolerating soft errors can be much improved if critical components can be identified at an early design phase and measures are taken to lower their criticalities at that stage. This improvement is achieved by presenting a criticality ranking (among the components) formed by combining a prediction of soft errors, consequences of them, and a propagation of failures at system modelling phase; and pointing out the ways to apply changes in the model to minimize the risks of degradation of desired functionalities. Case study results are given to illustrate and validate the approach

Data-driven feature identification and sparse representation of turbulent flows

Identifying coherent structures in fluid flows is of great importance for reduced order modelling and flow control. However, extracting such structures from experimental or numerical data obtained from a turbulent flow can be challenging. A number of modal decomposition algorithms have been proposed in recent years which decompose time-resolved snapshots of data into spatial modes, each associated with a single frequency and growth-rate. Most prominently among them is dynamic mode decomposition (DMD). However, DMD-like algorithms create an arbitrary number of modes. It is common practice to then choose a smaller subset of these modes, for the purpose of model reduction and analysis, based on some measure of significance. In this work, we present a method of post-processing DMD modes for extracting a small number of dynamically relevant modes. We achieve this through an iterative approach based on the graph-theoretic notion of maximal cliques to identify clusters of modes and representing each cluster with a single representative mode

A Design Approach for Soft Errors Protection in Real-Time Systems

This paper proposes the use of metrics to refine system design for soft errors protection in system on chip architectures. Specifically this research shows the use of metrics in design space exploration that highlight where in the structure of the model and at what point in the behaviour, protection is needed against soft errors. As these metrics improve the ability of the system to provide functionality, they are referred to here as reliability metrics. Previous approaches to prevent soft errors focused on recovery after detection. Almost no research has been directed towards preventive measures. But in real-time systems, deadlines are performance requirements that absolutely must be met and a missed deadline constitutes an erroneous action and a possible system failure. This paper focuses on a preventive approach as a solution rather than recovery after detection. The intention of this research is to prevent serious loss of system functionality or system failure though it may not be able to eliminate the impact of soft errors completely

A Model-Based Soft Errors Risks Minimization Approach

Minimizing the risk of system failure in any computer structure requires identifying those components whose failure is likely to impact on system functionality. Clearly, the degree of protection or prevention required against faults is not the same for all components. Tolerating soft errors can be much improved if critical components can be identified at an early design phase and measures are taken to lower their criticalities at that stage. This improvement is achieved by presenting a criticality ranking (among the components) formed by combining a prediction of faults, consequences of them, and a propagation of errors at the system modeling phase; and pointing out ways to apply changes in the model to minimize the risk of degradation of desired functionalities. Case study results are given to validate the approach

Gauge covariance and spin-current conservation in the gauge-field formulation of systems with spin–orbit coupling

The question of gauge covariance in the non-Abelian gauge-field formulation of two space-dimensional systems with spin-orbit coupling relevant to spintronics is investigated. Although these are generally gauge-fixed models, it is found that for the class of gauge fields that are spacetime independent and satisfy a U(1) algebra, thus having a vanishing field strength, there is a residual gauge freedom in the Hamiltonian. The gauge transformations assume the form of a space-dependent rotation of the transformed wavefunctions with rotation angles and axes determined by the specific form of the gauge field, i.e. the spin-orbit coupling. The fields can be gauged away, reducing the Hamiltonian to one which is isospectral to the free-particle Hamiltonian, and giving rise to the phenomenon of persistent spin helix reported first by Bernevig et al (2006 Phys. Rev. Lett. 97 236601). The investigation of the global gauge transformations leads to the derivation of a continuity equation where the component of the spin density along given directions, again fixed by the specific form of the gauge field, is conserved

Shoulder electromyography activity during push-up variations: a scoping review

Background: Push-ups (PU) are a common closed chain exercise used to enhance shoulder girdle stability, with variations that alter the difficulty or target specific muscles. To appropriately select and prescribe PU exercises, an understanding of muscle activity during variations of the PU is needed. The purpose of this scoping review was to identify common PU variations and describe their muscle activation levels. Methods: Databases searched included PubMed, CINAHL, Scopus, and SPORTDiscus for articles published between January 2000 and November 2019. Results: Three hundred three articles were screened for eligibility with 30 articles included in the analysis. Six PU types and five muscles met the criteria for analysis. Weighted mean electromyography (EMG) amplitude was calculated for each muscle across PU types and for each PU type as a measure of global muscle activity. Triceps and pectoralis major had the highest EMG amplitude during unstable, suspension, incline with hands on a ball and the standard PU. Serratus anterior had the highest EMG amplitude during PU plus and incline PU. The greatest global EMG amplitude occurred during unstable surface PU. Discussion: These results provide clinicians with a framework for prescribing PU to target specific muscles and scale exercise difficulty to facilitate rehabilitation outcomes