Titlebook: Immunogenetics: Advances and Education; The First Congress o Alejandro J. Madrigal,Margita Bencová,Tibor Nánási Book 1997 Kluwer Academic P

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1388-6576 joined their formations to common state "Greate Moravian Empire". The strongest King of the Great Moravian Empire was Svatopluk (864 A. D. ), who spread his em978-94-010-6308-1978-94-011-5486-4Series ISSN 1388-6576

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which includes an ambitious bibliography of about 3500 items, will serve as a valuable reference for lecturers and researchers..978-3-319-82273-0978-3-319-41127-9Series ISSN 1868-4513 Series E-ISSN 1868-4521

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J. A. Madrigalntral importance for a better understanding of some astrophysical phenomena and basic physics problems. Finally, the book discusses future directions for the high intensity laser–plasma interaction community. T978-3-030-73549-4978-3-030-73547-0Series ISSN 2190-5053 Series E-ISSN 2190-5061

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Immunogenetics of Graves’ Disease association between clinical features of GD with markers within the HLA-locus were a component of the recent 12th International Histocompatibility Workshop and Conference. Through this international collaboration more than five hundred patients with GD were analysed. The major aim was to determine

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Assessing Prognosis in Rheumatoid Arthritis Using Monoclonal Antibodies and Flow Cytometry epitope hypothesis”. These authors realised, from examination of the amino-acid sequence data that the alleles which were associated with RA all had a similar sequence in the beta chain, QKRAA or QRRAA at positions 70-74. This unifying hypothesis showed that the closest association between HLA and

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The Application of Cellular Tests in the Selection of Unrelated Donors for Bone Marrow Transplantati typing techniques i.e. serologic HLA typing and Class II DNA typing. Cellular tests may be used to detect such mismatches as they reflect the functional T cell repertoire recognizing the histocompatibility differences between donor and recipient.

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M. Bencová,J. Benca,O. Nánásiováexample of a general paradigm in the field of approximation algorithms for optimization problems: Instead of solving a very hard problem we solve an easy one and then convert the optimal solution to the easy problem into an approximately optimal solution to the hard one. Obviously, it is important t

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