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Search results for: left temporal lobe
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Advanced Monte Carlo simulator of the polarization-sensitive optical coherence tomography systems
PublicationSimulations of the optical coherence tomography (OCT) systems using the Monte Carlo method is a widely explored research area. However, there are several difficulties that need to be overcome in order to properly model the OCT imaging with the Monte Carlo algorithm. First of all, the temporal and the spatial coherence of the scattered light need to be considered, since OCT is based on the interference phenomenon. For the same reason,...
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Hierarchical predictive control of integrated wastewater treatment systems
PublicationThe paper proposes an approach to designing the control structure and algorithms for optimising control of integrated wastewater treatment plant-sewer systems (IWWTS) under a full range of disturbance inputs. The optimised control of IWWTS allows for significant cost savings, fulfilling the effluent discharge limits over a long period and maintaining the system in sustainable operation. Due to the specific features of a wastewater...
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Time-Gating method with automatic calibration for accurate measurements of electrically small antenna radiation patterns in Non-Anechoic environments
PublicationNon-anechoic sites represent a cheap alternative to measurements of antennas in dedicated facilities. However, due to a high noise—from the external EM signal sources and multipath interferences—the quality of radiation patterns obtained in non-anechoic conditions is poor. The characteristics can be corrected using a time-gating method (TGM), which involves filtering of the noise based on temporal analysis of the measured signals....
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A new multi-process collaborative architecture for time series classification
PublicationTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...
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BP-EVD: Forward Block-Output Propagation for Efficient Video Denoising
PublicationDenoising videos in real-time is critical in many applications, including robotics and medicine, where varying light conditions, miniaturized sensors, and optics can substantially compromise image quality. This work proposes the first video denoising method based on a deep neural network that achieves state-of-the-art performance on dynamic scenes while running in real-time on VGA video resolution with no frame latency. The backbone...
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Melanoma, metastatic - Female, 65 - Tissue image [10010729534327771]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Squamous cell carcinoma, NOS - Male, 59 - Tissue image [8190729597424461]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Squamous cell carcinoma, NOS - Male, 59 - Tissue image [8190729597427351]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Large cell neuroendocrine carcinoma - Male, 65 - Tissue image [8180729594139771]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Adenocarcinoma, NOS - Male, 73 - Tissue image [11220630008763231]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Melanoma, metastatic - Female, 65 - Tissue image [10010729534334851]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Squamous cell carcinoma, NOS - Male, 59 - Tissue image [8190729597429711]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Acinar adenocarcinoma of lung - Female, 58 - Tissue image [11090629569871491]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Large cell neuroendocrine carcinoma - Male, 65 - Tissue image [8180729594138031]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Squamous cell carcinoma, NOS - Male, 59 - Tissue image [12060630017629391]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Tumor cells, malignant - Male, 58 - Cell image [12060630017629671]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG cell 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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Melanoma, metastatic - Female, 65 - Tissue image [10010729534336931]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Large cell neuroendocrine carcinoma - Male, 65 - Tissue image [8180729594136271]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Acinar adenocarcinoma of lung - Female, 58 - Tissue image [1109062956987711]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Melanoma, metastatic - Female, 65 - Tissue image [10010729534326051]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Atypical carcinoid tumor - Male, 61 - Tissue image [818072959413671]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Acinar adenocarcinoma of lung - Female, 58 - Tissue image [11090629569878491]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Large cell neuroendocrine carcinoma - Male, 65 - Tissue image [8180729594136641]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Squamous cell carcinoma, NOS - Male, 59 - Tissue image [8190729597424081]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Adenocarcinoma, NOS - Male, 73 - Tissue image [11220630008762321]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Large cell neuroendocrine carcinoma - Male, 65 - Tissue image [8180729594131721]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Tumor cells, malignant - Male, 66 - Cell image [12060630017633241]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG cell 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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Acinar adenocarcinoma of lung - Female, 58 - Tissue image [11090629569877101]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Tumor cells, malignant - Male, 58 - Cell image [12060630017638321]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG cell 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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Melanoma, metastatic - Female, 65 - Tissue image [10010729534331211]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Adenocarcinoma, NOS - Male, 73 - Tissue image [11220630008769361]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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On a Recurrence Arising in Graph Compression
PublicationIn a recently proposed graphical compression algorithm by Choi and Szpankowski (2012), the following tree arose in the course of the analysis. The root contains n balls that are consequently distributed between two subtrees according to a simple rule: In each step, all balls independently move down to the left subtree (say with probability p) or the right subtree (with probability 1p). A new node is created as long as...
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Clinical anatomy of the spatial structure of the right ventricular outflow trac
PublicationBackground. The right ventricular outflow tract (RVOT) is located above the supraventricular crest and reaches the level of the pulmonary valve. Detailed knowledge of the RVOT spatial structure and its morphology is extremely important for cardiac invasive therapeutic procedures. Objectives. To examine the spatial structure of the RVOT using virtual models of the right ventricle (RV) interior obtained post mortem. Material and...
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SUPPORT FOR OLDER ADULTS DURING COVID19 PANDEMIC – HOW DID LOCAL AUTHORITIES IN THE POMERANIAN REGION RESPOND TO THE CHALLENGE?
PublicationThe COVID-19 pandemic, apart from health threats, has shown the problem of older adults’ social isolation and loneliness in aging societies that has been progressing for several decades. Older adults’ singularisation, loosening family relations, diminishing families’ caring potential, caused that during the lockdown, many older adults – without the neighbours’ or NGOs’ support or the activities undertaken by local authorities –...
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Wild oscillations in a nonlinear neuron model with resets: (II) Mixed-mode oscillations
PublicationThis work continues the analysis of complex dynamics in a class of bidimensional nonlinear hybrid dynamical systems with resets modeling neuronal voltage dynamics with adaptation and spike emission. We show that these models can generically display a form of mixed-mode oscillations (MMOs), which are trajectories featuring an alternation of small oscillations with spikes or bursts (multiple consecutive spikes). The mechanism by...
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KURS POPRAWKOWY ćw. z przedm. "Obwody i sygnały" 2022 (94)
e-Learning CoursesPoprawa ćwiczeń z przedmiotu Obwody i sygnały - dla AiR, EiT i IBm, sem.2, studia I stopnia, WETI PG Sterujący całością kursu: Czesław Stefański (cestef@pg.edu.pl) Prowadzący grupy ćwiczeniowe: mgr Marek Grzegorek dr Iwona Kochańska dr Marek S. Makowski dr Czesław Stefański
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Lean Management 2023
e-Learning CoursesKurs Lean Management to 15h materiał teoretyczny on-line z mini zadaniami, którego istotnym rozwinięciem jest 30h ćwiczeń realizowanych w trybie stacjonarnym, czyli podczas naszych wspólnych zajęć. Celem materiału teoretycznego jest przybliżenie Wam tzw. WHY?, czyli przyczyn, dla których wiedza, którą będziemy Wam przekazywać i umiejętności, które zdobywać będziecie podczas ćwiczeń stanowią wartość dla przedsiębiorstw i jej...
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Lean Management 2022
e-Learning CoursesKurs Lean Management to 15h materiał teoretyczny on-line z mini zadaniami, którego istotnym rozwinięciem jest 30h ćwiczeń realizowanych w trybie stacjonarnym, czyli podczas naszych wspólnych zajęć. Celem materiału teoretycznego jest przybliżenie Wam tzw. WHY?, czyli przyczyn, dla których wiedza, którą będziemy Wam przekazywać i umiejętności, które zdobywać będziecie podczas ćwiczeń stanowią wartość dla przedsiębiorstw i jej...
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Lean Management_ZiE nstc_zima 2023/2024
e-Learning CoursesKurs Lean Management to 15h materiał teoretyczny on-line z mini zadaniami, którego istotnym rozwinięciem jest 30h ćwiczeń realizowanych w trybie stacjonarnym, czyli podczas naszych wspólnych zajęć. Celem materiału teoretycznego jest przybliżenie Wam tzw. WHY?, czyli przyczyn, dla których wiedza, którą będziemy Wam przekazywać i umiejętności, które zdobywać będziecie podczas ćwiczeń stanowią wartość dla przedsiębiorstw i jej...
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Lean Management_ZiE lato 2024
e-Learning CoursesKurs Lean Management to 15h materiał teoretyczny on-line z mini zadaniami, którego istotnym rozwinięciem jest 30h ćwiczeń realizowanych w trybie stacjonarnym, czyli podczas naszych wspólnych zajęć. Celem materiału teoretycznego jest przybliżenie Wam tzw. WHY?, czyli przyczyn, dla których wiedza, którą będziemy Wam przekazywać i umiejętności, które zdobywać będziecie podczas ćwiczeń stanowią wartość dla przedsiębiorstw i jej...
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Adaptive system for recognition of sounds indicating threats to security of people and property employing parallel processing of audio data streams
PublicationA system for recognition of threatening acoustic events employing parallel processing on a supercomputing cluster is featured. The methods for detection, parameterization and classication of acoustic events are introduced. The recognition engine is based onthreshold-based detection with adaptive threshold and Support Vector Machine classifcation. Spectral, temporal and mel-frequency descriptors are used as signal features. The...
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Pawlak's flow graph extensions for video surveillance systems
PublicationThe idea of the Pawlak's flow graphs is applicable to many problems in various fields related to decision algorithms or data mining. The flow graphs can be used also in the video surveillance systems. Especially in distributed multi-camera systems which are problematic to be handled by human operators because of their limited perception. In such systems automated video analysis needs to be implemented. Important part of this analysis...
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High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events
PublicationDischarge events induced by mixture of snowmelt and rainfall are strongly nonlinear due to consequences of rain-on-snow phenomena and snowmelt dependence on energy balance. However, they received relatively little attention, especially in high-resolution discharge forecasting. In this study, we use Random Forests models for 24 h discharge forecasting in 1 h resolution in a 105.9 km 2 urbanized catchment in NE Poland: Biala River....
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A case study of odour nuisance evaluation in the context of integrated urban planning
PublicationOdour nuisance poses a serious problem in many urban areas, yet its evaluation and mitigation is often omitted in the urban planning process. By identifying its range and spatio-temporal variations, it could be taken into consideration by planners in urban development strategies and land use decisions. The aim of the study was to present the application of odour evaluation techniques in the improvement of the quality of life in...
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Origin and fate of nanoparticles in marine water – Preliminary results
PublicationThe number, morphology and elemental composition of nanoparticles (<100 nm) in marine water was investigated using Variable Pressure Scanning Electron Microscopy (VP-SEM) and Energy-dispersive X-ray spectroscopy (EDS). Preliminary research conducted in the Baltic Sea showed that the number of nanoparticles in seawater varied from undetectable to 380 (x102) cm-3. Wind mixing and density barriers (thermocline) had a significant impact...
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Neoplasm, metastatic - Male, 75 - Tissue image [10010729534338071]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Squamous cell carcinoma, NOS - Male, 59 - Tissue image [8190729597423421]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Phakomatosis, unspecified - Female, 74 - Tissue image [9300729527459481]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Adenocarcinoma, NOS - Male, 56 - Tissue image [11060629578374021]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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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Adenocarcinoma, NOS - Unknown, 78 - Tissue image [32907300166241]
Open Research DataThis is the histopathological image of BRONCHUS AND LUNG 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.