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Search results for: ELEARNING PROGRAMME
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Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non–muscle-invasive Bladder Cancer
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Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning
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Machine Learning Algorithm-Based Tool and Digital Framework for Substituting Daylight Simulations In Early- Stage Architectural Design Evaluation
PublicationThe aim of this paper is to examine the new method of obtaining the simulation-based results using backpropagation of errors artificial neural networks. The primary motivation to conduct the research was to determine an alternative, more efficient and less timeconsuming method which would serve to achieve the results of daylight simulations. Three daylight metrics: Daylight Factor, Daylight Autonomy and Daylight Glare Probability have...
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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
PublicationNitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...
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Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
PublicationMethods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...
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Knowledge sharing and knowledge hiding in light of the mistakes acceptance component of learning culture- knowledge culture and human capital implications
PublicationPurpose: This study examines the micromechanisms of how knowledge culture fosters human capital development. Method: An empirical model was developed using the structural equation modeling method (SEM) based on a sample of 321 Polish knowledge workers employed in different industries. Findings: This study provides direct empirical evidence that tacit knowledge sharing supports human capital, whereas tacit knowledge hiding does...
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Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage
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High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
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User Orientation Detection in Relation to Antenna Geometry in Ultra-Wideband Wireless Body Area Networks Using Deep Learning
PublicationIn this paper, the issue of detecting a user’s position in relation to the antenna geometry in ultra-wideband (UWB) off-body wireless body area network (WBAN) communication using deep learning methods is presented. To measure the impulse response of the channel, a measurement stand consisting of EVB1000 devices and DW1000 radio modules was developed and indoor static measurement scenarios were performed. It was proven that for...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublicationIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublicationControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublicationThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
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Is it too late now to say we’re sorry? Examining anxiety contagion and crisis communication strategies using machine learning
PublicationIn this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and predict anxiety scores in organizational crisis announcements on social media and the public’s responses to these posts. We also control for emotional and language tones in organizational...
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Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach
PublicationTransformative Organisational Change becomes more and more significant both practically and academically, especially in the context of organisational culture and learning. However computational modeling and formalization of organisational change and learning processes are still largely unexplored. This chapter aims to provide an adaptive network model of transformative organisational change and translate a selection of organisational...
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Kwerenda archiwalna i bibliograficzna na potrzeby programu prac konserwatorskich i dokumentacji konserwatorskiej - Łuszczarnia Ryżu Gdynia ul. Celna 2
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Obliczenia numeryczne w analizach hydraulicznych istniejących systemów kanalizacji deszczowej i mieszanej z wykorzystaniem programu TFD (Tube Flow Drain)
PublicationProgramowanie inżynierskie jako nieodłączny element prac związanych z optymalizacją istniejących układów sieci kanalizacji deszczowej. Obliczenia numeryczne stosowane w programie TFD (Tube Flow Drain) znacznie przyspieszyły proces wykonywania obliczeń hydraulicznych w zamkniętych kanałach grawitacyjnych o przekroju kołowym. Możliwość wykonania szybko i niezawodnie, sprawdzenia wpływu zmiennych (np.. Kalkulacje w autorskim programie...
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Wariantowa koncepcja architektoniczno-urbanistyczna programu funkcjonalno-przestrzennego adaptacji zespołu dawnej fabryki Wigencja w Łodzi na centrum dla dzieci.
PublicationKoncepcja obejmowała wariantowe studia możliwości zrealizowania w zespole dawnej przędzalni i tkalni fabryki Wigencja w Łodzi (ul. Sienkiewicza 75/77) nowej siedziby Teatru Pinokio wraz z funkcjami uzupełniającymi. Obiekt rozpatrywano w kategoriach narzędzia powierzchniowej rewitalizacji śródmieścia Łodzi
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Koncepcja urbanistyczno-architektoniczna zagospodarowania rejonu dworca kolejowego w Białymstoku w ramach programu funkcjonalno-przestrzennego węzła multimodalnego w Białymstoku
Publicationekspertyza projektowa dotyczyła opracowania wariantowej, urbanistycznej koncepcji reorganizacji przestrzeni miejskiej w rejonie dworca PKP/PKS w kontekście poprawy integracji środków transportu
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WYNIKI SYMULACJI NUMERYCZNEJ CYKLU ROBOCZEGO SILNIKA O ZS W PROGRAMIE DIESEL-RK ORAZ OCENA ICH UŻYTECZNOŚCI W PROCESIE PLANOWANIA BADAŃ DIAGNOSTYCZNYCH OKRĘTOWEGO SILNIKA TŁOKOWEGO
PublicationW artykule przedstawiono wyniki symulacji numerycznej procesu roboczego realizowanego w silniku tłokowym o zapłonie samoczynnym. W zastosowanym programie użytkowym DIESEL-RK zaimplementowano silnik laboratoryjny Farymann Diesel typ D10. Wprowadzono wybraną niesprawność jego układu funkcjonalnego zasilania paliwem - obniżone ciśnienie otwarcia wtryskiwacza pwtr. Wyznaczono wartości adekwatnych parametrów diagnostycznych: temperaturę...
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Podstawy obliczeń układów powierzchniowych w systemie MSC.Marc/Mentat
PublicationW skład prezentowanej monografii wchodzi pięć przykładów analizy elementów konstrukcyjnych wykonanych przy użyciu systemu MSC.Marc/Mentat. Każdy przykład został rozwiązany dwa razy: za pomocą klasycznej i tzw. nowej wersji interfejsu (w wersji 13.1). Przykłady opatrzono rozwiązaniami problemów wykonanymi w taki sposób, że czytelnik może uzyskać rozwiązanie danego problemu, powtarzając opisane szczegółowo instrukcje na własnym komputerze....
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Green Technology as a Way of Cleaning the Environment from Petroleum Substances in South-Eastern Poland
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Neural network based control system architecture proposal for underwatership hull cleaning robot.
PublicationPrzedstawiono model matematyczny podwodnej głowicy roboczej, oraz określono metodę jej pozycjonowania i orientacji w lokalnym środowisku. Zaproponowano architekturę układu sterowania, opartego na bazie sieci neuronowych, za pomocą którego można sterować podwodnym robotem, przeznaczonym do czyszczenia burt statku.
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New trifunctional acrylic water-based paint with self-cleaning, biocidal and magnetic properties
PublicationIn the present study, we report the synthesis and application of ZnFe2O4/SiO2-TiO2 nanocomposites with nonstoichiometric content of Fe to Zn used for the first time for the preparation of new generation trifunctional paints with self-cleaning, biocidal and magnetic properties. Currently, there are no compositions on the market for obtaining protective coatings in the form of paint, which simultaneously exhibit biocidal, magnetic...
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Jakub Miler dr inż.
PeopleAcademic career: 2000: Master of Science - Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, thesis "Computer system for supporting risk management in a software engineering project", supervisor prof. Janusz Górski 2005: PhD - Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, thesis "A Method of Software Project Risk Identification and Analysis",...
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Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN)
PublicationThe European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases—the leading cause of global mortality—are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that...
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Agnieszka Landowska dr hab. inż.
PeopleAgnieszka Landowska works for Gdansk University of Technology, FETI, Department of Software Engineering. Her research concentrates on usability, accessibility and technology adoption, as well as affective computing methods. She initiated Emotions in HCI Research Group and conducts resarch on User eXperiene evaluation of applications and other technologies.
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Exploring the factor structure and the validity of the abbreviated Basic and Earning Self-Esteem Scales
PublicationThe original longer versions (Forsman & Johnson, 1996) and abbreviated versions of the Basic and Earning Self-Esteem Scales have been used in clinical and non-clinical settings, but little is known about the factor structure and the validity of these scales in their abbreviated forms. The original longer versions of the scales comprise several dimensions, but both abbreviated versions of the scales have been interpreted as if they...
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Facilitators and barriers to adaptive implementation of the Meeting Centers Support Program (MCSP) in three European countries; the process evaluation within the MEETINGDEM study
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Comparison of the adaptive implementation and evaluation of the Meeting Centers Support Program for people with dementia and their family carers in Europe; study protocol of the MEETINGDEM project
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Improvement of Attention, Executive Functions, and Processing Speed in Elderly Women as a Result of Involvement in the Nordic Walking Training Program and Vitamin D Supplementation
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Calculation Program Supporting Switched Capacitor DC-DC Charge Pump Design (CP Design Calculator) - Part III: Illustrative Examples
PublicationW pracy przedstawiono szereg przykładów użycia programu do obliczeń wspomagających projektowanie pompy ładunkowej, w tym syntezę układu kanonicznego i wyznaczanie wszystkich teoretycznie realizowalnych współczynników przetwarzania (wzmocnień napięciowych), rezystancję wyjściową zastępczą w różnych trybach pracy, sprawność energetyczną, wrażliwość na pojemności pasożytnicze, warunki początkowe w okresowym stanie ustalonym - do współpracy...
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Zarządzanie organizacjami niekomercyjnymi - propozycja dydaktyczna dla studentów kierunku zarządzanie i marketing
PublicationAutor przedstawia cele oraz program przedmiotu Zarządzanie organizacjami niekomercyjnymi, prowadzonego dla studentów kierunku zarządzanie i marketing na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W programie kształcenia główną uwagę skoncentrowano na wskazaniu studentom rosnącego znaczenia organizacji niekomercyjnych (zarówno publicznych jak i pozarządowych) w Polsce oraz konieczności stopniowego i systemowego wprowadzenia...
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Discussing daylight simulations in a proposal for online daylighting education.
PublicationThere is increasing interest concerning daylighting in the building sector. However, such knowledge is difficult to penetrate the curricula of architects and designers as existing educational programmes often do not provide sufficient training on BPS. This also leads to superficial use of daylight simulations. This paper presents a proposal for a needs-based education package on daylighting design, that mixes modular eLearning...
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Dawid Ryś dr hab. inż.
PeopleCourses PRINCE2® Foundation Certificate in Project Management Tire-Pavement Interaction course Micromechanical Analysis of Asphalt Concrete
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NAKŁADY INWESTYCYJNE W SEKTORZE PRZEDSIĘBIORSTW PRYWATNYCH W POLSCE W LATACH 2008-2011. WYBRANE MOŻLIWOŚCI ANALITYCZNE I WIZUALIZACYJNE PROGRAMU R.
PublicationW opracowaniu zawarto wraz z przykładami niektóre możliwości programu R Cran w zakresie wizualizacji danych przestrzennych. Analizie poddano nakłady inwestycyjne w poszczególnych województwach w Polsce. Wykazano, że województwa charakteryzujące się wyższym poziomem nakładów inwestycyjnych niż średnia krajowa to województwa: dolnośląskie, łódzkie, mazowieckie, pomorskie i śląskie. Natomiast województwa, w których co roku, obserwuje...
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Determinants of anxiety levels among young males in a threat of experiencing military conflict–Applying a machine-learning algorithm in a psychosociological study
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Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learning
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Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams
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Low-Cost and Highly-Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates
PublicationThe awareness and practical benefits of behavioral modeling methods have been steadily growing in the antenna engineering community over the last decade or so. Undoubtedly, the most important advantage thereof is a possibility of a dramatic reduction of computational expenses associated with computer-aided design procedures, especially those relying on full-wave electromagnetic (EM) simulations. In particular, the employment of...
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Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction
PublicationRegarding the unpredictable and complex nature of seismic excitations, there is a need for vulnerability assessment of newly constructed or existing structures. Predicting the seismic limit-state capacity of steel Moment-Resisting Frames (MRFs) can help designers to have a preliminary estimation and improve their views about the seismic performance of the designed structure. This study improved data-driven decision techniques in...
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Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modeling
PublicationDeep eutectic solvents (DES) represent a promising class of green solvents, offering particular utility in the extraction and development of new formulations of natural compounds such as ferulic acid (FA). The experimental phase of the study undertook a systematic investigation of the solubility of FA in DES, comprising choline chloride or betaine as hydrogen bond acceptors and six different polyols as hydrogen bond donors....
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Precise Identification of Different Cervical Intraepithelial Neoplasia (CIN) Stages, Using Biomedical Engineering Combined with Data Mining and Machine Learning
PublicationCervical cancer (CC) is one of the most common female cancers worldwide. It remains a significant global health challenge, particularly affecting women in diverse regions. The pivotal role of human papillomavirus (HPV) infection in cervical carcinogenesis underscores the critical importance of diagnostic strategies targeting both HPV infection and cervical...
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E-learning przez Internet w szkolnictwie wyższym. Doświadczenia Szkoły Głównej Handlowej w Warszawie i Politechniki Gdańskiej.
PublicationOpisano cztery podstawowe rodzaje e-learningu, przedstawiono strukturę funkcjonalną systemów zarządzania nauczaniem na odległość i zarządzania treścią nauczania (ang. LMS, LCMS) oraz zaprezentowano doświadczenia Szkoły Głównej Handlowej w Warszawie i Politechniki Gdańskiej w nauczaniu na odległość.
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Machine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects
PublicationMachine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects Hammed A. Mojeed & Rafal Szlapczynski Conference paper First Online: 14 September 2023 161 Accesses Part of the Lecture Notes in Computer Science book series (LNAI,volume 14125) Abstract Software development project requires proper planning to mitigate risk and...
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublicationSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis
PublicationThe design of antenna systems poses a significant challenge due to stringent per-formance requirements dictated by contemporary applications and the high com-putational costs associated with models, particularly full-wave electromagnetic (EM) analysis. Presently, EM simulation plays a crucial role in all design phases, encompassing topology development, parametric studies, and the final adjustment of antenna dimensions. The latter...
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Improvement of speech intelligibility in the presence of noise interference using the Lombard effect and an automatic noise interference profiling based on deep learning
PublicationThe Lombard effect is a phenomenon that results in speech intelligibility improvement when applied to noise. There are many distinctive features of Lombard speech that were recalled in this dissertation. This work proposes the creation of a system capable of improving speech quality and intelligibility in real-time measured by objective metrics and subjective tests. This system consists of three main components: speech type detection,...
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Love your mistakes!—they help you adapt to change. How do knowledge, collaboration and learning cultures foster organizational intelligence?
PublicationPurpose: The study aims to determine how the acceptance of mistakes is related to adaptability to change in a broad organizational context. Therefore it explores how knowledge, collaboration, and learning culture (including “acceptance of mistakes”) might help organizations overcome their resistance to change. Methodology: The study uses two sample groups: students aged 18–24 (330 cases) and employees aged >24 (326 cases) who work...
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Karol Flisikowski dr inż.
PeopleKarol Flisikowski works as Associate Professor at the Department of Statistics and Econometrics, Faculty of Management and Economics, Gdansk University of Technology. He is responsible for teaching descriptive and mathematical statistics (in Polish and English), as well as scientific research in the field of social statistics. He has been a participant in many national and international conferences, where he has presented the results...
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Internet technology in education - offer of Gdansk University of Technology.
PublicationW artykule przedstawiono ofertę szkoleń Centrum Edukacji Niestacjonarnej Politechniki Gdańskiej oraz możliwości jej wykorzystania na Wydziale Inżynierii Lądowej w studiach doktoranckich i podyplomowych, które zostaną uruchomione w ramach V Programu Ramowego Unii Europejskiej, Centra Doskonałości (projekt CURE - Centre for Urban Construction and Rehabilitation: Technology Transfer, Research and Education). Zaprezentowano model nauczania...