压应变In（0.63）Ga（0.3）7As/InP单量子阱的变温光致发光研究

于2010-11-23批量导入

Going global in small steps: e-internships in SMEs.

Technological developments over the last thirty years increasingly shaped the means by which we recruit, select and appraise employees. Today, technology supports more flexible and geographically dispersed working modes: From teleworkers, to virtual workers, to e-interns (also known as virtual interns). The current article describes how developments in e-HRM and changes in employment forms contribute to the development and increasing popularity of e-internships (better known as virtual internships) amongst small and medium-sized enterprises. In this paper, we reflect on the rise of e-internships across different countries and relate this to e-HRM and technological advances. We explore the opportunities and challenges. These include developing effective global talent and knowledge management practices, managing diversity as well as intellectual and social capital. We furthermore link the employment of e-internship practices to strategic organizational goals and learning. In the final section, we also critically reflect on the high investment required for e-internships to succeed. The discussion on e-internships is set in the literature on e-HRM, virtual teams and knowledge management, which is furthermore supported by interviews conducted with e-interns or internship managers. Keywords: e-internships, virtual internships, computer-mediated communication

Mammon's Television?: ITV in Wales 1959-63

Medhurst, J. (2005). Mammon's Television?: ITV in Wales 1959-63. In C. Johnson and R. Turnock (Eds.), ITV Cultures: Independent Television over 50 Years (pp.88-107). Maidenhead: Open University Press. RAE2008

Characteristic Functions for Ergodic Tuples

Gohm, Rolf; Dey, S., 'Characteristic function for ergodic tuples', Integral Equations and Operator Theory 58(1) pp.43-63 RAE2008

Association of a peripheral blood metabolic profile with coronary artery disease and risk of subsequent cardiovascular events.

BACKGROUND: Molecular tools may provide insight into cardiovascular risk. We assessed whether metabolites discriminate coronary artery disease (CAD) and predict risk of cardiovascular events. METHODS AND RESULTS: We performed mass-spectrometry-based profiling of 69 metabolites in subjects from the CATHGEN biorepository. To evaluate discriminative capabilities of metabolites for CAD, 2 groups were profiled: 174 CAD cases and 174 sex/race-matched controls ("initial"), and 140 CAD cases and 140 controls ("replication"). To evaluate the capability of metabolites to predict cardiovascular events, cases were combined ("event" group); of these, 74 experienced death/myocardial infarction during follow-up. A third independent group was profiled ("event-replication" group; n=63 cases with cardiovascular events, 66 controls). Analysis included principal-components analysis, linear regression, and Cox proportional hazards. Two principal components analysis-derived factors were associated with CAD: 1 comprising branched-chain amino acid metabolites (factor 4, initial P=0.002, replication P=0.01), and 1 comprising urea cycle metabolites (factor 9, initial P=0.0004, replication P=0.01). In multivariable regression, these factors were independently associated with CAD in initial (factor 4, odds ratio [OR], 1.36; 95% CI, 1.06 to 1.74; P=0.02; factor 9, OR, 0.67; 95% CI, 0.52 to 0.87; P=0.003) and replication (factor 4, OR, 1.43; 95% CI, 1.07 to 1.91; P=0.02; factor 9, OR, 0.66; 95% CI, 0.48 to 0.91; P=0.01) groups. A factor composed of dicarboxylacylcarnitines predicted death/myocardial infarction (event group hazard ratio 2.17; 95% CI, 1.23 to 3.84; P=0.007) and was associated with cardiovascular events in the event-replication group (OR, 1.52; 95% CI, 1.08 to 2.14; P=0.01). CONCLUSIONS: Metabolite profiles are associated with CAD and subsequent cardiovascular events.