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Search results for: the Penal Code
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Acute renal failure with tubular necrosis - Male, 11 - Tissue image [1216063001263201]
Open Research DataThis is the histopathological image of KIDNEY 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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Acute renal failure with tubular necrosis - Female, 60 - Tissue image [10080730015785931]
Open Research DataThis is the histopathological image of KIDNEY 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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Acute renal failure with tubular necrosis - Male, 0 - Tissue image [7060729599329731]
Open Research DataThis is the histopathological image of KIDNEY 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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Acute renal failure with tubular necrosis - Male, 11 - Tissue image [12160630012639491]
Open Research DataThis is the histopathological image of KIDNEY 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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Nowa metoda lokalizowania terminala ruchomego w systemie WCDMA/FDD
PublicationW referacie zaprezentowano nową metodę lokalizowania terminala ruchomego w systemie WCDMA/FDD (Wideband Code Division Multiple Access / Frequency Division Duplex). Metoda ta umożliwia estymację położenia geograficznego terminala ruchomego MS (Mobile Station) bez znajomości różnic czasowych w synchronizacji RTD (Relative Time Difference) poszczególnych stacji bazowych BS (Base Station), biorących udział w tym procesie. Do eliminacji...
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International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Conferences -
Threshold Attendance under Soft-Crash Model: TAG Protocol and Markovian Analysis
PublicationA realistic and systematic network evaluation should subsume an availability model and a failure model. We combine a "hard availability" model we call threshold attendance, whereby a certain minimum number of network elements must be present at any time, with a soft-crash failure model, whereby after experiencing a failure, a network element is still able to function correctly for a while in an emergency mode at a risk of a major...
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Szymon Mania dr inż.
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approximation of photonic crystal fibres with large air holes by the step index fibre model
PublicationAn equivalent step index fibre with a silica core and air cladding is used to model photonic crystal fibres with large air holes. We model this fibre for linear polarisation (we focus on the lowest few transverse modes of the electromagnetic field). The equivalent step index radius is obtained by equating the lowest two eigenvalues of the model to those calculated numerically for the photonic crystal fibres. The step index parameters...
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Ionic Liquids and Deep Eutectic Mixtures: Sustainable Solvents for Extraction Processes
PublicationIn recent years, ionic liquids and deep eutectic mixtures have demonstrated great potential in extraction processes relevant to several scientific and technological activities. This review focuses on the applicability of these sustainable solvents in a variety of extraction techniques, including but not limited to liquid- and solid-phase (micro) extraction, microwave-assisted extraction, ultrasound-assisted extraction and pressurized...
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Initial Considerations
PublicationChemical processes have made use of a wide number of volatile organic solvents due to their efficiency in countless unit operations. The increasing knowledge on the environmental, health, and safety hazards associated to their use has significantly contributed to the search for greener alternatives. The primary purpose of this book is to provide an overview of alternative solvents with reduced issues that have successfully replaced...
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Iwona Nowakowska dr
PeopleAssistant Professor at The Maria Grzegorzewska University Institute of Psychology. Graduate of Psychology (University of Warsaw, 2019), and PhD in this field (Maria Grzegorzewska University, 2022). Conducted research in the fields of: social and clinical psychology and individual differences. Her current research activity concentrates on prosociality (volunteering, philanthropy, socially responsible behaviors) and their correlates. She...
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Experimental Testing of Innovative Cold-Formed "GEB" Section / Badania Eksperymentalne Innowacyjnego Kształtownika Giętego Na Zimno Typu „Geb“
PublicationOne of the major advantages of light gauge steel structures made of cold-formed steel sections is their low weight, so manufacturers are increasingly using the possibilities of those sections for the production of typical single-storey steel structures systems. Well known profiles, such as Z, C and the so called hat sections that have been studied and described in the literature, are used mainly as purlins or truss components....
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Clear cell renal cell carcinoma, NOS - Female, 69 - Tissue image [6190730017349921]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 69 - Tissue image [6190730017347681]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017343501]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 65 - Tissue image [529073002550931]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [5290730025501971]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [6180730013784871]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017347281]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017349791]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [619073001734791]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025872711]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025875421]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017342541]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025873421]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017344221]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 65 - Tissue image [5290730025505111]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [6180730013788441]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [5290730025501541]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 64 - Tissue image [5290730025517441]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 64 - Tissue image [5290730025514501]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025879381]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [619073001734751]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [530073002587901]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 69 - Tissue image [619073001734801]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [5290730025509651]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025879481]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [61807300137831]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [6180730013797321]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Male, 65 - Tissue image [5290730025504381]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 64 - Tissue image [5290730025513781]
Open Research DataThis is the histopathological image of KIDNEY 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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Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017344661]
Open Research DataThis is the histopathological image of KIDNEY 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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Study of the Performance of DSSS UAC System Depending on the System Bandwidth and the Spreading Sequence
PublicationA signal transmitted in an Underwater Acoustic Communication (UAC) system operating in a shallow-water channel suffers from strong time dispersion due to multipath propagation. This causes the Inter-Symbol Interference (ISI) observed in the received signal, which significantly limits the communication system’s reliability and transmission rate. In such propagation conditions, the Direct-Sequence Spread Spectrum (DSSS) method is...
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Parallel Programming for Modern High Performance Computing Systems
PublicationIn view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and...
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Parallelization of large vector similarity computations in a hybrid CPU+GPU environment
PublicationThe paper presents design, implementation and tuning of a hybrid parallel OpenMP+CUDA code for computation of similarity between pairs of a large number of multidimensional vectors. The problem has a wide range of applications, and consequently its optimization is of high importance, especially on currently widespread hybrid CPU+GPU systems targeted in the paper. The following are presented and tested for computation of all vector...
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Source code - AI models (MLM1-5 - series I-III - QNM opt)
Open Research DataSource code - AI models (MLM1-5 - series I-III - QNM opt) for the paper "Computational Complexity and Its Influence on Concrete Compressive Strength Prediction Capabilities of Machine Learning Models for Concrete Mix Design Support" accepted for publication.
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Force-deformation spectroscopy in contact mode
Open Research DataThe deformation-distance spectroscopic curve is obtained by registering the value of the probe cantilever deflection as a function of the elongation of the piezoelectric scanner. It assumes a simple relationship in the form of Hooke’s law, linking the deformation of the lever with the amount of its deflection caused by the proximity of the probe and...
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Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
PublicationThis paper proposes a novel approach for intelligent fault diagnosis for stroke Diesel marine engines, which are commonly used in on-road and marine transportation. The safety and reliability of a ship's work rely strongly on the performance of such an engine; therefore, early detection of any type of failure that affects the engine is of crucial importance. Automatic diagnostic systems are of special importance because they can...
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Benchmarking Performance of a Hybrid Intel Xeon/Xeon Phi System for Parallel Computation of Similarity Measures Between Large Vectors
PublicationThe paper deals with parallelization of computing similarity measures between large vectors. Such computations are important components within many applications and consequently are of high importance. Rather than focusing on optimization of the algorithm itself, assuming specific measures, the paper assumes a general scheme for finding similarity measures for all pairs of vectors and investigates optimizations for scalability...