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Search results for: PERCEPCJA PRZESTRZENI
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Liposarcoma, well differentiated, NOS - Male, 52 - Tissue image [9190729564906121]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025883861]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002094191]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002097101]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551201481]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [53007300258881]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025887281]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Male, 52 - Tissue image [9190729564907761]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002097071]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025881581]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002091901]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025882731]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551203561]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025881701]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025884001]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Male, 52 - Tissue image [9190729564909791]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002099261]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Aneta Sobiechowska-Ziegert dr
PeopleShe works at the Department of Statistics and Econometrics at the Faculty of Management and Economics. She is passionate about using modern teaching methods in quantitative subjects. She is a certified coach and tutor. She teaches courses in economic forecasting and spatial econometrics. She is also the chair of the Faculty's Quality of Education Committee and oversees the EMOS education track, certified by Eurostat. Currently,...
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Metropolie ery cyfrowej- wpływ nowych technologii informacyjnych i komunikacyjnych na kształt współczesnego miasta = Digital metropolis - the impact of new information and communication technologies on contemporary city
PublicationDynamiczny rozwój technologii informacyjnych i cyfrowych zapoczątkowany w drugiej połowie XX wieku wpłynął na zmianę wizerunku współczesnego miasta. Coraz bardziej wyraźną rolę w jego tworzeniu zaczęły odgrywać fasady, powłoki budynków oraz fragmenty przestrzeni publicznych, w obrębie których zaczęto integrować pojawiające się innowacyjne technologie, potocznie zwane medialnymi. Powierzchnie architektoniczne wyposażone w nie...
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Centrum aktywności / Lubawa
PublicationStworzenie przestrzeni publicznej wpływającej pozytywnie na społeczne relacje – poczucie sprawczości, odpowiedzialności oraz współuczestnictwa jednostek w życiu lokalnej społeczności – wymaga wzięcia pod uwagę nie tylko obecnych oczekiwań jej użytkowników. Taka przestrzeń powinna również przewidywać i kształtować przyszłe aspiracje wspólnoty. Otwarte w 2020 roku Centrum Aktywności Społecznej zaprojektowane przez Autorską Pracownię...
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Socjologia przestrzeni
e-Learning Courses -
Urban Sketching. Przedmioty do wyboru. Sem. VI GP 2020/2021
e-Learning CoursesKurs dla studentów VI semestru I stopnia studiów Gospodarki Przestrzennej. Szkic, jako narzędzie poznania architektury i przestrzeni miasta, analizy struktury i relacji przestrzennych oraz sposobów funkcjonowania. Nauka szybkiej szkicowej rejestracji krajobrazu miasta i jego elementów, zjawisk przestrzennych, ludzi. Poznanie różnorodnych technik szkicowania, czarno-białych i z zastosowaniem koloru. Umiejętności te przyczyniają...
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Postrzeganie odporności w kontekście zarządzania projektami
PublicationW opracowaniu zaprezentowano pojęcie odporności w odniesieniu do specyfiki zarządzania projektami. Autora przeprowadziła badania własne percepcji pojęcia odporności oraz jej składowych w odniesieniu do wybranych obszarów zarządzania projektami.
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An overview of Multiple-Input Multiple-Output(MIMO) system
PublicationW artykule omówiono podstawy teoretyczne funkcjonowania systemów wieloantenowych, w tym korzyści wynikające z ich stosowania, podstawowe konfiguracje systemów wieloantenowych i opis ich działania, pojęcie pojemności kanału MIMO i jego modelowania oraz dwa podstawowe sposoby realizacji techniki MIMO, tj. kodowanie przestrzenno-czasowe i multipleksacja przestrzenna (techniki BLAST).
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Krzysztof Wróblewski prof. dr art. mal.
People -
Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845311]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015843401]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015844551]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551202761]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Male, 46 - Tissue image [8150730005228051]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002096541]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551206791]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025883481]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015841931]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Male, 46 - Tissue image [8150730005228841]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551201531]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015848161]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [531073001584651]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551207081]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015844051]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845391]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015847751]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [531073001584551]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551205301]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015844581]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [531073001584481]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551202191]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551203701]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845381]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845621]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.