Institution
University of Bedfordshire
Education•Luton, Bedford, United Kingdom•
About: University of Bedfordshire is a education organization based out in Luton, Bedford, United Kingdom. It is known for research contribution in the topics: Population & Social work. The organization has 3860 authors who have published 6079 publications receiving 143448 citations. The organization is also known as: University of Luton.
Topics: Population, Social work, Poison control, Curriculum, Health care
Papers published on a yearly basis
Papers
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TL;DR: This paper investigated how motivational processes influence students' proactive career behaviours using structural equation modelling and moderation/mediation analysis using a nested model approach, and found that students higher in mastery approach had greater perceived employability mediated by skill development and network building.
Abstract: The graduate labour market is highly competitive but little is known about why students vary in their development of employability This study contributes to the literature by applying goal-setting theory and the job demands–resources model to investigate how motivational processes influence students’ proactive career behaviours We tested four hypotheses using structural equation modelling and moderation/mediation analysis using a nested model approach; 432 undergraduates from 21 UK universities participated in this cross-sectional study The results showed that students higher in mastery approach had greater perceived employability mediated by two proactive career behaviours (skill development and network building) Students’ career goal commitment was associated with all four proactive career behaviours (career planning, skill development, career consultation and network building) Students’ academic and employment workloads did not negatively impact their proactive career behaviours Universit
63 citations
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TL;DR: Wang et al. as discussed by the authors investigated the association between plasma adiponectin levels and MetS in middle-aged and elderly Chinese from both urban and rural areas of northern and southern China.
Abstract: Objective: Hypoadiponectinemia is an important risk factor for metabolic syndrome (MetS). However, little is known about its role in the Chinese population. The aim of this study was to investigate the association between plasma adiponectin levels and MetS in middle-aged and elderly Chinese from both urban and rural areas of northern and southern China. Methods and Procedures: This population-based cross-sectional study included 3,193 subjects aged 50-70 from urban and rural areas of Beijing (northern China) and Shanghai (southern China). Plasma adiponectin concentrations were measured using a high-throughput micro-assay, Luminex. MetS was identified with the updated National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. Results: Adiponectin levels were significantly higher in female, and rural subjects than in male or urban residents (P < 0.001). The prevalence and the number of MetS components progressively increased with declined adiponectin levels (P for trend <0.001). The participants in the lowest adiponectin quartile had a significantly increased risk for acquiring MetS (odds ratio (OR) 3.38, 95% confidence interval (CI) 2.56-4.46) after adjustment for potential confounders. Subjects from Beijing or rural areas had a higher risk for MetS at the same given level of adiponectin than did their Shanghai or urban counterparts, respectively. Discussion: Adiponectin is negatively associated with MetS in the middle-aged and elderly Chinese independent of known confounders such as BMI, physical activity and life habits. The urban-rural and northern-southern differences in susceptibility to MetS should be taken into consideration for the early detection and prevention of MetS.
63 citations
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TL;DR: In this paper, the moment transformations of the population balances taking into account the chemical and crystallization kinetics are integrated into a CFD solver to describe the generation and transportation of the crystal phase.
Abstract: To better understand the complicated phenomena in a precipitation process, computational fluid dynamics (CFD) is utilized to account for reactions, crystallization, mixing, and their interactions. The moment transformations of the population balances taking into account the chemical and crystallization kinetics are integrated into a CFD solver to describe the generation and transportation of the crystal phase. The current work applies this CFD tool to simulate the reactive precipitation process in a semibatch crystallizer, which is widely used in chemical and pharmaceutical industries. BaSO4 precipitation is employed as an example system. The influence of hydrodynamics in the stirred tank, as characterized by the impeller speed and feed location, on the distribution of supersaturation and the subsequent crystal size distribution is investigated. The numerical predictions are validated with measurements and can be used as an aid in the optimization of semibatch precipitator design.
63 citations
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TL;DR: An alternative emotion processing or emotional impact of events account, distinct from memory consolidation, is supported by the finding that SWS dreams do not evidence the dream-lag effect.
63 citations
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TL;DR: The results indicate that format (b) produces significantly fewer correct answers than the other two formats, and suggests that the differences may be associated with reliance on a lexical matching strategy on the part of test takers.
62 citations
Authors
Showing all 3892 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Oscar H. Franco | 111 | 822 | 66649 |
Timothy J. Foster | 98 | 420 | 32338 |
Christopher P. Denton | 95 | 675 | 42040 |
Ian Kimber | 91 | 620 | 28629 |
Michael J. Gidley | 86 | 420 | 24313 |
David Carling | 86 | 186 | 45066 |
Anthony Turner | 79 | 489 | 24734 |
Rhys E. Green | 78 | 285 | 30428 |
Vijay Kumar Thakur | 74 | 375 | 17719 |
Dave J. Adams | 73 | 283 | 19526 |
Naresh Magan | 72 | 400 | 17511 |
Aedin Cassidy | 70 | 218 | 17788 |
David A. Basketter | 70 | 325 | 16639 |
Richard C. Strange | 67 | 249 | 17805 |