STUDY AND ANALYSIS OF LYSOZYME QUANTITY IN BIOLOGICAL FLUIDS (SALIVA, URINE, BLOOD SERUM) OF PATIENTS WITH VARIOUS PATHOLOGICAL CONDITIONS

No abstrac

NATURAL IMMUNITY AND ALLERGY. A STUDY OF SERUM LYSOZYME IN ALLERGIC PATIENTS

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STUDY OF INHIBITORY EFFECT OF GLUTATHIONЕ-REDUCED, L-CYSTEINE AND ZINC IONS ON NEURAMINIDASE N2 ACTIVITY IN INFLUENZA VIRUS TYPE A

No abstrac

Clinical, Instrumental and Immunological Follow-Up of Patients with Brain Tumors

Dynamic assessment of 66 patients with different brain tumours was carried out. The clinical, immunological and instrumental (electrophysiological and neuroimaging) follow-up included three groups of cases with stable clinical course, tumour progression and recurrence. Our results confirm that the changes in the functional and immune status of the patients with cerebral neoplasms as well as the alterations in the cerebral function and structure reflect the tumour development and the corresponding therapeutic behaviour. Monitoring of patients status and tumour growth provides opportunity for better disease control and prognosis

TRANSPLANTATION OF SPLEEN (INDICATIONS, SURGICAL ASPECTS, COMPLICATIONS, PROPHYLAXIS)

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Fringe electric fields of flat and cylindrical deflectors inelectrostatic charged particle storage rings

Analytic expressions for the potentials and fields of flat and cylindrical plates, including the fringe fields, are given. The present analysis extends and simplifies the current expression for the fields of flat plates and develops expressions for the fringe fields of cylindrical plates in terms of polar coordinates. The development of a FORTRAN program to output the field strength at a given location within the Proton Electric Dipole Moment (Proton EDM) ring is then described. Fourth-order Runge-Kutta integration is used to investigate the effect of fringe fields on particle and spin dynamics with precision tracking in the proposed Proton EDM experiment.1331sciescopu

INFLUENCE OF IMMUNOREACTIVITY TYPE UPON POSTOPERATIVE STATUS OF PATIENTS WITH COLO-RECTAL CANCER (CRC)

No abstrac

The Machine Learning Landscape of Top Taggers

Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established methods they rely on low-level input, for instance calorimeter output. While their network architectures are vastly different, their performance is comparatively similar. In general, we find that these new approaches are extremely powerful and great fun.Comment: Yet another tagger included