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Institution

Center for Theoretical Physics

FacilityWarsaw, Poland
About: Center for Theoretical Physics is a facility organization based out in Warsaw, Poland. It is known for research contribution in the topics: Gamma-ray burst & Accretion (astrophysics). The organization has 68 authors who have published 112 publications receiving 1086 citations. The organization is also known as: Centrum Fizyki Teoretycznej PAN & Centrum Fizyki Teoretycznej Polskiej Akademii Nauk.


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Journal ArticleDOI
TL;DR: In this article , a longitudinal prospective cohort study of 3580 adults aged 40-70 years was conducted to clarify whether the TyG index is a marker for predicting metabolic syndrome (MetS) and investigate the importance of single-nucleotide polymorphisms (SNPs) in diagnosis.
Abstract: TyG (triglyceride and glucose) index using triglyceride and fasting blood glucose is recommended as a useful marker for insulin resistance. To clarify whether the TyG index is a marker for predicting metabolic syndrome (MetS) and to investigate the importance of single-nucleotide polymorphisms (SNPs) in MetS diagnosis. From 2001 to 2014, a longitudinal prospective cohort study of 3580 adults aged 40–70 years was conducted. The area under the receiver operating characteristic curves (AUROC) and Youden index (YI) was calculated to assess the diagnostic value. During the 14-year follow-up, 1270 subjects developed MetS. Five SNPs in four genes (BUD13 rs10790162, ZPR1 rs2075290, APOA5 rs2266788, APOA5 rs2075291, and MKL1 rs4507196) significantly correlated with susceptibility to MetS (p < 0.00005). The areas under the curve of TyG index and HOMA-IR were 0.854 (95% confidence interval [CI], 0.841–0.867) and 0.702 (95% CI, 0.684–0.721), respectively. Despite no statistical significance, AUROC and YI were increased when MetS was diagnosed using TyG index and the five SNPs. TyG index might be useful for identifying individuals at high risk of developing MetS. The combination of TyG index and SNPs showed better diagnostic accuracy than TyG index alone, indicating the potential value of novel SNPs for MetS diagnosis.

1 citations

Posted ContentDOI
21 Mar 2022
TL;DR: In this article , the authors analyzed how air masses are transported from the planetary boundary layer (PBL) to the Asian monsoon anticyclone (AMA) via multiannual trajectory anlyses.
Abstract: Abstract. Air masses within the Asian monsoon anticyclone (AMA) show anomalous signatures in various trace gases. In this study, we analyze how air masses are transported from the planetary boundary layer (PBL) to the AMA via multiannual trajectory anlyses. While previous studies analyzed the PBL to AMA transport mainly for individual monsoon seasons or particular periods, we focus on the climatological perspective and on the interannual and intraseasonal variability. To this end we employ backward trajectories, which were computed using reanalysis data. Based on these trajectories, we analyze air mass transport from the PBL to the AMA during northern summer (June–August) for 14 summer seasons. Further, we backtrack forward trajectories from a free-running chemistry-climate model (CCM) simulation, which includes parametrized Lagrangian convection. The analysis of this additional model data set helps us to carve out robust or sensitive features of PBL to AMA transport with respect to the employed model. Results from both the trajectory model and the Lagrangian CCM emphasize the robustness of the three-dimensional transport pathways from the PBL to the AMA. Air masses are transported upwards on the eastern side of the AMA and are uplifted within the full AMA domain above. While this is in agreement with previous modelling studies, we refine the picture of the so-called "conduit" (Bergman et al., 2013). The contributions from the Tibetan Plateau (TP; 17 % vs. 15 %) and the West Pacific (around 12 %) are similar in both model results. However, the contributions from the Indian subcontinent and South-East Asia are considerably larger in the Lagrangian CCM data, which might point towards the importance of convective transport for PBL to AMA transport for these regions. The analysis of both model data sets highlights the interannual and intraseasonal variability with respect to PBL source regions of the AMA. Additionally, we analyze the relation of the interannual east-west displacement of the AMA – which we find to be related to the monsoon Hadley index – to the transport behaviour and find that there are differences for "east" and "west years", the main transport characteristics, however, are comparable. Regarding the intraseasonal variability our trajectory model results show that transport from the PBL over the Tibetan Plateau (TP) to the AMA is weak in early June (less than 4 % of the AMA air masses), whereas in August TP air masses contribute considerably (roughly 24 %). The evolution of the contribution from the TP is supported by data from the Lagrangian CCM and is related to the northward shift of the subtropical jet and the AMA during this period. This result may help to reconcile previous results and further highlights the need of taking the subseasonal (and interannual) variability of the AMA and associated transport into account.

1 citations

Journal ArticleDOI
TL;DR: In this paper , the role of the dust in the dynamics of the outflow and failed winds in the failed outflow is discussed and a dust-based model for the formation of the Balmer lines in active galactic nuclei is proposed.
Abstract: Since many years we know that dust in the form of the dusty-molecular torus is responsible for the obscuration in active galactic nuclei (AGN) at large viewing angles and thus for the classification of AGN. Recently, we gained some observational and theoretical insight into geometry of the region and the role of the dust in the dynamics of the outflow and failed winds. We will briefly touch on all these aspects, including our dust-based model (FRADO - Failed Radiatively Accelerated Dusty Outflow) of the formation of the Balmer lines in AGN.

1 citations


Authors

Showing all 74 results

NameH-indexPapersCitations
Krishna Rajagopal5115913677
Bozena Czerny493777617
Karol Życzkowski422179165
Iwo Bialynicki-Birula411907082
Maciej Bilicki371684354
Kazimierz Rzazewski341534610
Katarzyna Małek331534224
Amer Iqbal32795338
Agnieszka Janiuk321673293
Marek Kuś311243500
Lech Mankiewicz302213533
Jerzy Kijowski281512906
Anjan A. Sen271202358
Pawel Nurowski231441951
Tomasz Sowiński191081495
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20228
20211
20201
201913
201819