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Institution

University of Warsaw

EducationWarsaw, Poland
About: University of Warsaw is a education organization based out in Warsaw, Poland. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 20832 authors who have published 56617 publications receiving 1185084 citations. The organization is also known as: Uniwersytet Warszawski & Warsaw University.


Papers
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Journal ArticleDOI
TL;DR: Results presented here suggest that mouse and human bone marrow and bone marrow cells are capable of de novo synthesis of melatonin, which may have intracellular and/or paracrine functions.
Abstract: Recently, it was demonstrated that inbred strains of mice have a clearcut circadian rhythm of pineal and serum melatonin. Moreover, it is known that melatonin is involved in many immunoregulatory functions. Among them, hematopoiesis is influenced by the action of melatonin via melatonin-induced opioids on kappa-opioid receptors, which are present on stromal bone marrow cells. Therefore, the present study was carried out to investigate the presence of melatonin in the bone marrow in which immunocompetent cells are generated. Specifically, we aimed at answering the following question: are bone marrow cells involved in melatonin synthesis? In the present study, we demonstrate that (1) bone marrow cells contain high concentrations of melatonin; (2) bone marrow cells have a N-acetyltransferase activity and they express the mRNA encoding hydroxy-O-methyltransferase and (3) bone marrow cells cultured for a prolonged period exhibited high levels of melatonin. Results presented here suggest that mouse and human bone marrow and bone marrow cells are capable of de novo synthesis of melatonin, which may have intracellular and or paracrine functions.

356 citations

Journal ArticleDOI
TL;DR: The most general solution to date of the problem of matching globular protein sequences to the appropriate three-dimensional structures is described, provided by a protein "structural fingerprint" library based on the contact map and the buried/exposed pattern of residues.

354 citations

Journal ArticleDOI
TL;DR: The present data are consistent with the pure scalar hypothesis, while disfavoring the pure pseudoscalar hypothesis.
Abstract: A study is presented of the mass and spin-parity of the new boson recently observed at the LHC at a mass near 125 GeV. An integrated luminosity of 17.3 fb^(-1), collected by the CMS experiment in proton-proton collisions at center-of-mass energies of 7 and 8 TeV, is used. The measured mass in the ZZ channel, where both Z bosons decay to e or μ pairs, is 126.2±0.6(stat)±0.2(syst) GeV. The angular distributions of the lepton pairs in this channel are sensitive to the spin-parity of the boson. Under the assumption of spin 0, the present data are consistent with the pure scalar hypothesis, while disfavoring the pure pseudoscalar hypothesis.

353 citations

Journal ArticleDOI
TL;DR: The results show unequivocally that in most cases, the pair-wise estimates are incorrect and a complete set of signals involved in a given process has to be used to obtain the correct pattern of EEG flows.
Abstract: Performance of different estimators describing propagation of electroencephalogram (EEG) activity, namely: Granger causality, directed transfer function (DTF), direct DTF (dDTF), short-time DTF (SDTF), bivariate coherence, and partial directed coherence are compared by means of simulations and on the examples of experimental signals. In particular, the differences between pair-wise and multichannel estimates are studied. The results show unequivocally that in most cases, the pair-wise estimates are incorrect and a complete set of signals involved in a given process has to be used to obtain the correct pattern of EEG flows. Different performance of multivariate estimators of propagation depending on their normalization is discussed. Advantages of multivariate autoregressive model are pointed out.

353 citations

Journal ArticleDOI
Serkan Akkoyun1, A. Algora2, B. Alikhani3, F. Ameil  +375 moreInstitutions (40)
TL;DR: The Advanced GAmma Tracking Array (AGATA) as discussed by the authors is a European project to develop and operate the next generation gamma-ray spectrometer, which is based on the technique of energy tracking in electrically segmented high-purity germanium crystals.
Abstract: The Advanced GAmma Tracking Array (AGATA) is a European project to develop and operate the next generation gamma-ray spectrometer. AGATA is based on the technique of gamma-ray energy tracking in electrically segmented high-purity germanium crystals. This technique requires the accurate determination of the energy, time and position of every interaction as a gamma ray deposits its energy within the detector volume. Reconstruction of the full interaction path results in a detector with very high efficiency and excellent spectral response. The realisation of gamma-ray tracking and AGATA is a result of many technical advances. These include the development of encapsulated highly segmented germanium detectors assembled in a triple cluster detector cryostat, an electronics system with fast digital sampling and a data acquisition system to process the data at a high rate. The full characterisation of the crystals was measured and compared with detector-response simulations. This enabled pulse-shape analysis algorithms, to extract energy, time and position, to be employed. In addition, tracking algorithms for event reconstruction were developed. The first phase of AGATA is now complete and operational in its first physics campaign. In the future AGATA will be moved between laboratories in Europe and operated in a series of campaigns to take advantage of the different beams and facilities available to maximise its science output. The paper reviews all the achievements made in the AGATA project including all the necessary infrastructure to operate and support the spectrometer.

351 citations


Authors

Showing all 21191 results

NameH-indexPapersCitations
Alexander Malakhov139148699556
Emmanuelle Perez138155099016
Piotr Zalewski135138889976
Krzysztof Doroba133144089029
Hector F. DeLuca133130369395
Krzysztof M. Gorski132380105912
Igor Golutvin131128288559
Jan Krolikowski131128983994
Michal Szleper130123882036
Anatoli Zarubin129120486435
Malgorzata Kazana129117581106
Artur Kalinowski129116281906
Predrag Milenovic129118581144
Marcin Konecki128117879392
Karol Bunkowski128119279455
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023176
2022619
20212,880
20203,208
20193,130
20183,164