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Search results for: interpretative phenomenological analysis
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E-marketing and trend analysis - 2023
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Business Process Analysis and Optimization 2022
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Business Process Analysis and Optimization 2023
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Methods of quantitative analysis (team project)
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E-marketing and trend analysis - 2022
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Business Process Analysis and Optimization 2024
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Katarzyna Kubiszewska dr
PeopleKatarzyna Kubiszewska has taught finance and banking at the Department of Finance since 2008. In his scientific work, he is interested in the transformation of banking systems in the Central and Eastern European region, but also in the financing of the cultural sector. The publications concern the field of social sciences in the discipline of economics and finance. Since 2019, he has been collaborating with journals such as Economic...
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MSIS sonar image segmentation method based on underwater viewshed analysis and high-density seabed model
PublicationHigh resolution images of Mechanically Scanned Imaging Sonars can bring detailed representation of underwater area if favorable conditions for acoustic signal to propagate are provided. However to properly asses underwater situation based solely on such data can be challenging for less than proficient interpreter. In this paper we propose a method to enhance interpretative potential of MSIS image by dividing it in to subareas depending...
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Analysis of cell cycle distribution
Open Research DataThe dataset comprehensively details the distribution of A549, H226, and H460 cell lines in various cell cycle phases following treatment with the IC90 concentration of selected anthraquinones. The analysis was performed using the Flowing Software 2.
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Sensory analysis of bread samples with the addition of beetroot
Open Research DataThe data set presents the results of the sensory analysis of bread samples with the addition of beetroot, which was carried out by the sensory profiling analysis method based on the PN-ISO 11035: 1999 standard – “Sensory analysis - Identification and selection of descriptors for determining the sensory profile using multivariate methods”. The method...
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Sieve analysis of natural and magnetite aggregate
Open Research DataSieve analysis of natural river sand and magnetite aggregate used for concrete production
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Informal employment in Poland: an empirical spatial analysis
PublicationThe main goal of our article is to bridge the gap in the regional analysis of informal employment in Poland and in particular to indicate the propensity for informal work in the working-age population, to test if informal activities are typical for marginalized people (less educated, unemployed, older) and to identify the regional and spatial heterogeneity in the propensity. We use data from the ‘Human Capital Balance 2010–2014’...
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Rain Gardens GC_MS analysis dataset
Open Research DataThis dataset contains the results of samples analysis (no-target analysis: scan mode) using gas chromatography coupled with mass spectrometry GC–MS (GC-2030 NEXIS MS, Shimadzu, Japan or Thermo Scientific, Waltham, USA).
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Qualitative Data Analysis Methods -Summer 2022
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Music Analysis
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ASYMPTOTIC ANALYSIS
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Linguistic Analysis
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Bayesian Analysis
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Decision Analysis
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Analysis (Germany)
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Strategic Analysis
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GEOGRAPHICAL ANALYSIS
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Discrete Analysis
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Analysis and Metaphysics
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Tourism Analysis
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Analysis & PDE
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POLITICAL ANALYSIS
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Analysis and Applications
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Analysis Mathematica
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Journal of Analysis
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RISK ANALYSIS
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Marek Pszczoła dr hab. inż.
PeopleI am a Faculty member (Department of Highway and Transportation Engineering) at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland). My main research interests include: low-temperature properties of asphalt mixtures, low temperature cracking assessment of pavement structures, road materials properties, thermal stress analysis, design of pavement structures, airfield design and analysis....
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Chemical composition analysis of the LSNO ceramics
Open Research DataThe chemical composition of a series of La-Sb-Nb-O ceramics manufactured by the solid-phase reaction method was analyzed. The samples with a various antimony content were measured by XPS method (OmicronNanotechnology UHV system). Analysis confirmed presence of elements: La, Sb, Nb.
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Rain Gardens LC_MS/MS analysis dataset
Open Research DataThis dataset contains the results of samples analysis (target analysis with certified reference materials) using ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS, Shimadzu, Japan).
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Analysis
PublicationNew food products and diverse formulations containing the regulated steviol glycoside(s) as well as Stevia extracts or Stevia leaves have been brought on the global market. The upcoming multitude of such food products, but also their falsification and adulteration, does have impact on food analysis. Robust high-throughput methods that cope with different food matrices are required for food control to ensure food safety. The analysis...
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[ITiT] Technologies of Spatial Data Analysis and Processing
e-Learning Courses{mlang pl} Dyscyplina: Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher: dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...
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Scientific methods of computer data analysis and presentation
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XPS analysis of strontium titanate ceramics
Open Research DataThe chemical composition of the strontium titanite doped with yttrium and iron ceramic samples was investigated. Samples of Y0.07Sr0.93Ti0.8Fe0.2 were prepared by solid phase reaction and sintered for 24 and 48 hours. Chemical composition was measured by UHV OmicronNanotechnology XPS system. The analysis confirmed the chemical composition of the ceramics...
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Finite element modelling of a historic church structure in the context of a masonry damage analysis
PublicationThe paper includes a case study of modelling a real historic church using the finite element method (FEM) based on laser scans of its geometry. The main goal of the study was the analysis of the causes of cracking and crushing of masonry walls. An FEM model of the structure has been defined in ABAQUS. A non-linear dynamic explicit analysis with material model including damage plasticity has been performed. A homogenization procedure...
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XRD analysis of the tellurium dioxide thin films
Open Research DataTellurium dioxide thin films were deposited by magnetron sputtering method. The XRD analysis of the films annealed at 200, 500, 650 and 700 celsius degree showed appearing of crystalline phase in a higher temeratures.
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ACCIDENT ANALYSIS AND PREVENTION
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Combined thrust radial bearing of a submarine main shaft – Design and analysis of failure
PublicationThis paper presents an analysis of the combined thrust radial bearing of a submarine propulsion shaft. The lubrication system of the bearing is based on a fixed ring. The efficiency of the lubrication system depends on the shaft speed and temperature, which affects oil viscosity. In turn, the thrust bearing load also depends on the rotational speed of the shaft, because as the speed increases, the drag of the ship increases simultaneously,...
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Qualitative Data Analysis Methods -Summer 22/23
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Rain Gardens SW particle size analysis dataset
Open Research DataThis dataset contains the results of laser diffraction particle size analysis of storm water runoff and storm water quality in rain garden units. Samples were collected from 4 different rain gardens in Gdansk, Poland.
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Sylwester Kaczmarek dr hab. inż.
PeopleSylwester Kaczmarek received his M.Sc in electronics engineering, Ph.D. and D.Sc. in switching and teletraffic science from the Gdansk University of Technology, Gdansk, Poland, in 1972, 1981 and 1994, respectively. His research interests include: IP QoS and GMPLS and SDN networks, switching, QoS routing, teletraffic, multimedia services and quality of services. Currently, his research is focused on developing and applicability...
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Volatility modelling and market risk analysis 2024/2025
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Deep neural networks for data analysis 24/25
e-Learning CoursesThis course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...
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Deep neural networks for data analysis 27/28
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Deep neural networks for data analysis 25/26
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Deep neural networks for data analysis 26/27
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