Institution
University of Bergen
Education•Bergen, Hordaland, Norway•
About: University of Bergen is a education organization based out in Bergen, Hordaland, Norway. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 17106 authors who have published 52492 publications receiving 2009844 citations. The organization is also known as: Universitetet i Bergen & Universitas Bergensis.
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TL;DR: The findings indicate that, by serving as models and supporters, significant others have an important impact in promoting physical activity in young adolescents, and parental and peer support for physical activity seem to influence the reported physical activity level of the respondents.
Abstract: Influence from parents and friends on adolescents' self-reported level of leisure-time physical activity was examined through measures of (a) perceived leisure-time physical activity of parents and best friend, (b) perceived direct support for physical activity from parents and friends, (c) direct help from parents in exercising vigorously, and (d) perceived value of physical activity of parents and friends. The present analysis included 904 students in western Norway (M age 13.3 years, SD 0.3) who took part in a health behavior survey, which included questions regarding physical activity. Students completed a confidential questionnaire at school All four measures of influence were positively related to students' activity levels. None of the examined measures was clearly stronger than the other. Parental and peer physical activity level and parental and peer support for physical activity seem to influence the reported physical activity level of the respondents. The findings indicate that, by serv...
421 citations
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TL;DR: In this paper, the authors combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci associated with general cognitive function.
Abstract: General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.
421 citations
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TL;DR: An open-source Matlab® toolkit that can be used as an efficient test platform for (new) discretisation and solution methods in reservoir simulation is presented and examples of multiscale methods and adjoint methods for use in optimisation of rates and placement of wells are shown.
Abstract: Accurate geological modelling of features such as faults, fractures or erosion requires grids that are flexible with respect to geometry. Such grids generally contain polyhedral cells and complex grid-cell connectivities. The grid representation for polyhedral grids in turn affects the efficient implementation of numerical methods for subsurface flow simulations. It is well known that conventional two-point flux-approximation methods are only consistent for K-orthogonal grids and will, therefore, not converge in the general case. In recent years, there has been significant research into consistent and convergent methods, including mixed, multipoint and mimetic discretisation methods. Likewise, the so-called multiscale methods based upon hierarchically coarsened grids have received a lot of attention. The paper does not propose novel mathematical methods but instead presents an open-source Matlab® toolkit that can be used as an efficient test platform for (new) discretisation and solution methods in reservoir simulation. The aim of the toolkit is to support reproducible research and simplify the development, verification and validation and testing and comparison of new discretisation and solution methods on general unstructured grids, including in particular corner point and 2.5D PEBI grids. The toolkit consists of a set of data structures and routines for creating, manipulating and visualising petrophysical data, fluid models and (unstructured) grids, including support for industry standard input formats, as well as routines for computing single and multiphase (incompressible) flow. We review key features of the toolkit and discuss a generic mimetic formulation that includes many known discretisation methods, including both the standard two-point method as well as consistent and convergent multipoint and mimetic methods. Apart from the core routines and data structures, the toolkit contains add-on modules that implement more advanced solvers and functionality. Herein, we show examples of multiscale methods and adjoint methods for use in optimisation of rates and placement of wells.
420 citations
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TL;DR: Depression is associated with cognitive impairment in the acute phase of illness, and some reports indicate that this impairment might be long lasting despite symptom reduction and recovery.
Abstract: The aim of the present paper is to summarize the research during the past decade regarding cognitive functioning in Major Depressive Disorder (MDD). Cognitive impairment in the acute phase of illness has been frequently reported. The findings are shown in different cognitive domains, such as executive functions (EF), attention, memory and psychomotor speed. Fewer reports have investigated cognitive functioning in MDD in longitudinal studies. Some longitudinal reports show that the impairment observed in the acute phase of illness may be long lasting despite symptom reduction and recovery. However, findings regarding cognitive functioning in depression are divergent. Factors that might contribute to the divergent findings, such as depression subtype, severity and comorbidity are discussed. Clinical implications and focus of future research directions is highlighted. .In conclusion, depression is associated with cognitive impairment in the acute phase of illness, and some reports indicate that this impairment might be long lasting despite symptom reduction and recovery.
419 citations
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University of Oklahoma1, Oklahoma Medical Research Foundation2, University of Paris-Sud3, University Hospitals Birmingham NHS Foundation Trust4, Queen Elizabeth II Hospital5, Linköping University6, Uppsala University7, University of Bergen8, Stavanger University Hospital9, Veterans Health Administration10, Cincinnati Children's Hospital Medical Center11, Karolinska Institutet12, Örebro University13, King's College London14, University of Colorado Denver15, University of Minnesota16, Carolinas Medical Center17, Harvard University18, Washington University in St. Louis19, National Institutes of Health20, Hannover Medical School21, University of Adelaide22, Newcastle University23, Del Rosario University24
TL;DR: The results highlight the importance of genes that are involved in both innate and adaptive immunity in Sjögren's syndrome, including TNFAIP3, PTTG1, PRDM1, DGKQ, FCGR2A, IRAK1BP1, ITSN2 and PHIP, among others.
Abstract: Sjogren's syndrome is a common autoimmune disease (affecting ∼0.7% of European Americans) that typically presents as keratoconjunctivitis sicca and xerostomia. Here we report results of a large-scale association study of Sjogren's syndrome. In addition to strong association within the human leukocyte antigen (HLA) region at 6p21 (Pmeta = 7.65 × 10(-114)), we establish associations with IRF5-TNPO3 (Pmeta = 2.73 × 10(-19)), STAT4 (Pmeta = 6.80 × 10(-15)), IL12A (Pmeta = 1.17 × 10(-10)), FAM167A-BLK (Pmeta = 4.97 × 10(-10)), DDX6-CXCR5 (Pmeta = 1.10 × 10(-8)) and TNIP1 (Pmeta = 3.30 × 10(-8)). We also observed suggestive associations (Pmeta < 5 × 10(-5)) with variants in 29 other regions, including TNFAIP3, PTTG1, PRDM1, DGKQ, FCGR2A, IRAK1BP1, ITSN2 and PHIP, among others. These results highlight the importance of genes that are involved in both innate and adaptive immunity in Sjogren's syndrome.
417 citations
Authors
Showing all 17370 results
Name | H-index | Papers | Citations |
---|---|---|---|
Stephen V. Faraone | 188 | 1427 | 140298 |
Patrick O. Brown | 183 | 755 | 200985 |
Anil K. Jain | 183 | 1016 | 192151 |
Marc Weber | 167 | 2716 | 153502 |
Johan Auwerx | 158 | 653 | 95779 |
Leif Groop | 158 | 919 | 136056 |
Charles M. Perou | 156 | 573 | 202951 |
Bart Staels | 152 | 824 | 86638 |
Zhenwei Yang | 150 | 956 | 109344 |
G. Eigen | 148 | 2188 | 117450 |
Thomas Lohse | 148 | 1237 | 101631 |
Marco Costa | 146 | 1458 | 105096 |
Timothy P. Hughes | 145 | 831 | 91357 |
Hermann Kolanoski | 145 | 1279 | 96152 |
Kjell Fuxe | 142 | 1479 | 89846 |