wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: BLADDER ACELLULAR MATRIX
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Zdolni z Pomorza 2020/21 - Matrix reaktywacja
Kursy OnlineCel kursu: Celem kursu jest zapoznanie uczniów z pojęciami takimi jak: - macierze i wyznaczniki, - układy równań liniowych. Opis kursu: Istnieje wiele żartów o matematykach i dziedzinach matematyki. Choćby poniższe: Idą sobie dwie macierze kwadratowe. Nagle jedna upadła: -Nic ci nie jest?-pyta druga macierz -Nic. Tylko się odwróciłam. Co to jest macierz Kanaka? Macierz k x k. Jak wszystkim wiadomo w każdej anegdocie jest zawsze...
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OpenGL accelerated method of the material matrix generation for FDTD simulations
PublikacjaThis paper presents the accelerated technique of the material matrix generation from CAD models utilized by the finite-difference time-domain (FDTD) simulators. To achieve high performance of these computations, the parallel-processing power of a graphics processing unit was employed with the use of the OpenGL library. The method was integrated with the developed FDTD solver, providing approximately five-fold speedup of the material...
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Comparison of Pteridine Normalization Methods in Urine for Detection of Bladder Cancer
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Bladder cancer detection using a peptide substrate of the 20S proteasome
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Connection matrix theory for discrete dynamical systems
PublikacjaIn [C] and [F1] the connection matrix theory for Morse decomposition is developedin the case of continuous dynamical systems. Our purpose is to study the case of discrete timedynamical systems.
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Zdolni z Pomorza - Matrix reaktywacja - Spotkanie Akademickie 17.04.2021
Kursy OnlineSpotkanie akademickie poświęcone będzie metodzie bezwyznacznikowej wyznaczania macierzy odwrotnej oraz metodzie Gaussa - Jordana do rozwiązywania układów równań liniowych. W trakcie wykładu uczniowie dowiedzą się jak wyznaczyć rozwiązania układu równań liniowych metodą Gaussa – Jordana. Poznają tajniki działań na wierszach. Podczas ćwiczeń będziemy rozwiązywać zadania związane z treściami podanymi na wykładzie. Przedstawimy i omówimy...
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A memory efficient and fast sparse matrix vector product on a Gpu
PublikacjaThis paper proposes a new sparse matrix storage format which allows an efficient implementation of a sparse matrix vector product on a Fermi Graphics Processing Unit (GPU). Unlike previous formats it has both low memory footprint and good throughput. The new format, which we call Sliced ELLR-T has been designed specifically for accelerating the iterative solution of a large sparse and complex-valued system of linear equations arising...
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An optimal form of the finite element mass matrix in the analysis of longitudinal vibrations of rods
PublikacjaIn this paper, an attempt is made to find the optimal form of the mass matrix of a rod finite element, which allows one to obtain the smallest errors in the longitudinal frequency determination of natural vibrations of any boundary conditions within the whole range of determined frequencies. It is assumed that the mass matrix can be treated as a linear combination of the consistent and diagonal matrices. Based on analytical considerations,...
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A Task-Scheduling Approach for Efficient Sparse Symmetric Matrix-Vector Multiplication on a GPU
PublikacjaIn this paper, a task-scheduling approach to efficiently calculating sparse symmetric matrix-vector products and designed to run on Graphics Processing Units (GPUs) is presented. The main premise is that, for many sparse symmetric matrices occurring in common applications, it is possible to obtain significant reductions in memory usage and improvements in performance when the matrix is prepared in certain ways prior to computation....
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Influence of Transurethral Resection of Bladder Cancer on Sexual Function, Anxiety, and Depression
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Urothelial bladder carcinoma in young patients is characterized by a relatively good prognosis
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C90 PATHOLOGICAL CHARACTERISTICS OF UROTHELIAL CELL CARCINOMA OF THE BLADDER IN YOUNG PATIENTS
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Urinary metabolomic signature of muscle-invasive bladder cancer: A multiplatform approach
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Efficient Fabry-Perot Open Resonator Analysis by the use of a Scattering Matrix Method
PublikacjaIn this paper a comparative study of the computational efficiency of two modeling methods applied to the analysis of the plano- and double-concave Fabry-Perot open resonators is presented. In both numerical approaches, a scattering matrix method was applied, which allows splitting the analysis of the resonator into several sections, including the one with a spherical mirror, which requires the largest computing resources. Two modeling...
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FPGA Acceleration of Matrix-Assembly Phase of RWG-Based MoM
PublikacjaIn this letter, the field-programmable-gate-array accelerated implementation of matrix-assembly phase of the method of moments (MoM) is presented. The solution is based on a discretization of the frequency-domain mixed potential integral equation using the Rao-Wilton-Glisson basis functions and their extension to wire-to-surface junctions. To take advantage of the given hardware resources (i.e., Xilinx Alveo U200 accelerator card),...
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Determination of Odor Air Quality Index (OAQII) Using Gas Sensor Matrix
PublikacjaThis article presents a new way to determine odor nuisance based on the proposed odor air quality index (OAQII), using an instrumental method. This indicator relates the most important odor features, such as intensity, hedonic tone and odor concentration. The research was conducted at the compost screening yard of the municipal treatment plant in Central Poland, on which a self-constructed gas sensor array was placed. It consisted...
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Distributed NVRAM Cache – Optimization and Evaluation with Power of Adjacency Matrix
PublikacjaIn this paper we build on our previously proposed MPI I/O NVRAM distributed cache for high performance computing. In each cluster node it incorporates NVRAMs which are used as an intermediate cache layer between an application and a file for fast read/write operations supported through wrappers of MPI I/O functions. In this paper we propose optimizations of the solution including handling of write requests with a synchronous mode,...
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Accuracy, Memory and Speed Strategies in GPU-based Finite-Element Matrix-Generation
PublikacjaThis paper presents strategies on how to optimize GPU-based finite-element matrix-generation that occurs in the finite-element method (FEM) using higher order curvilinear elements. The goal of the optimization is to increase the speed of evaluation and assembly of large finite-element matrices on a single GPU (Graphics Processing Unit) while maintaining the accuracy of numerical integration at the desired level. For this reason,...
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GPU-Accelerated Finite-Element Matrix Generation for Lossless, Lossy, and Tensor Media [EM Programmer's Notebook]
PublikacjaThis paper presents an optimization approach for limiting memory requirements and enhancing the performance of GPU-accelerated finite-element matrix generation applied in the implementation of the higher-order finite-element method (FEM). It emphasizes the details of the implementation of the matrix-generation algorithm for the simulation of electromagnetic wave propagation in lossless, lossy, and tensor media. Moreover, the impact...
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Germline mutations in theCHEK2 kinase gene are associated with an increased risk of bladder cancer
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