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Search results for: PUBLICZNA DEBATA
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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Buried Object Characterization by Data-Driven Surrogates and Regression-Enabled Hyperbolic Signature Extraction
PublicationThis work addresses artificial-intelligence-based buried object characterization using FDTD-based electromagnetic simulation toolbox of a Ground Penetrating Radar (GPR) to generate B-scan data. In data collection, FDTD-based simulation tool, gprMax is used. The task is to estimate geophysical parameters of a cylindrical shape object of various radii, buried at different positions in the dry soil medium simultaneously and independently...
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Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention
PublicationThis paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...
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Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot
PublicationMeasurements in the coastal zone are carried out using various methods, including Global Navigation Satellite Systems (GNSS), hydroacoustic and optoelectronic methods. Therefore, it is necessary to develop coordinate transformation models that will enable the conversion of data from the land and marine parts to one coordinate system. The article presents selected issues related to the integration of geodetic and hydrographic data....
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Digitalization Process and Its Impact on Economic Growth A Panel Data Study for Developing Countries
PublicationThis book analyses the impact of Information and Communication Technologies (ICTs) on economic development. It contains theoretical and empirical studies, including panel studies on various issues facing developing countries, such as education, corruption, economic growth, government expenditure, financial inclusion, foreign direct investment, infrastructure, economic and social welfare, and inequality. Each chapter offers a well-conceived...
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Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data
PublicationInundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...
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Beata Zima dr hab. inż.
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Sieci w wymiarze sprawiedliwości - pożądany model przywództwa
PublicationCelem artykułu jest wypełnienie luki poznawczej dotyczącej lidera przywództwa w sieciach w sektorze publicznym na przykładzie sądów.
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III Posiedzenie Konwentu Politechniki Gdańskiej
EventsPodczas spotkania odbędzie się debata nt. udziału środowiska naukowego w realizacji Programu Zagospodarowania Dolnej Wisły.
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Kampus uniwersytecki w strukturze śródmieścia
PublicationKampus uniwersytecki uznawany jest na świecie jako jeden z najistotniejszych generatorów miejskiej przestrzeni publicznej. Stąd szczególnego znaczenia nabiera sposób wykorzystania tego potencjału dla rewitalizacji struktur śródmiejskich. Kampusy otwiera się na miasto integrując je poprzez atrakcyjny system przestrzeni publicznej, wprowadza się do programu funkcjonalnego ośrodków uniwersyteckich ofertę popularno-naukową atrakcyjną...
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Public relations w działalności szkoły
PublicationTreść rozdziału X książki, przygotowanej pod redakcją Ewy Hope, "Public relations instytucji użyteczności publicznej" obejmuje zagadnienia związane z potrzebami współczesnej szkoły w zakresie przekazu informacji i komunikowania się z zewnętrznym otoczeniem szkoły - środowiskiem społecznym. Praktyka życia codziennego szkoły, placówki oświatowej pokazuje jak celowym zbiegiem kierowniczym jest stosowanie działań public relations....
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The impact of the Government Program for Social Participation of Senior Citizens (ASOS) on social activation of the elderly in Poland: Findings from a qualitative study
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The role of sport in the Smart City concept
PublicationSport brings to cities innovative solutions that influence urban life, yet considerations about sport still rarely contribute to the development of the very popular smart city concept. This raises the question: what is the perception of sport in the city from the perspective of the smart city concept? One of the challenges of future urban policy is to provide initiatives that ensure the wellbeing and promote the model of a healthy...
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Rola przestrzeni publicznych w procesie umiastowiania oraz podnoszenia jakości życia w Gdańsku- Osowej
PublicationPoniższy rozdział jest próbą odpowiedzi na pytanie o jakość życia mieszkańców istniejących obrzeżnych dzielnic Gdańska. Stanowi opis części badań, które staną się podstawą rozprawy doktorskiej autorki, realizowanej na Wydziale Architektury na Politechnice Gdańskiej. Tekst dotyczy badanego problemu na przykładzie dzielnicy Osowa w Gdańsku. Od ostatnich dwudziestu pięciu lat zjawisko jest wciąż silnie zauważalne i stanowi jedno z...
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Opinia ekspercka na potrzeby postępowania znak SPZ.271.8.7.2011 prowadzonego w trybie przetargu nieograniczonego o udzielenie zamówienia publicznego na Wykonanie robót budowlanych i inżynieryjnych dla Kontraktu - Modernizacja Oczyszczalni Ścieków - Kontrakt nr 1, w ramach projektu: Modernizacja i rozbudowa oczyszczalni ścieków w Piotrkowie Trybunalskim, nr POIS.01.01.00-00-003/07
PublicationProblem właściwej identyfikacji specjalizacji zawodowej oraz doświadczenia eksperta w przetyargu na zamówienie publiczne. Problemy identyfikacji pojęcia ''inżynieria sanitarna'' i ''inzynieria środowiska'' w aspekcie oceny doświadczeń zawodowych. Szczególne znaczenie w odniesieniu do ''oczyszczania ścieków'' - brak transmisji p[omiędzy ''uzdatnianiem (oczyszczaniem) wody.
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Zamówienia innowacyjne jako czynnik wspierający rozwój innowacji
PublicationW artykule przedstawiono i omówiono zamówienia publiczne, które mogą być czynnikiem wspierającym innowacje.Równocześnie wskazano, że zamówienia innowacyjne nie tylko wspierają innowacje, ale mogą być istotnym czynnikiem w rozwoju i funkcjonowaniu przedsiębiorstw i tym samym sposobem na zwiększenie przez nie zysków.
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Letras de Hoje-Estudos e Debates em Linguistica Literatura e Lingua Portuguesa
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PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non-targeted Metabolomics Data
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Increasing conclusiveness of metabonomic studies by cheminformatic preprocessing of capillary electrophoretic data on urinary nucleoside profiles
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Circulating MAdCAM-1 and ITGB7 in Patients with Plaque Psoriasis and Eruptive Lichen Planus—Preliminary Data
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Predictive Capacity of Rainfall Data to Estimate the Water Needs of Fruit Plants in Water Deficit Areas
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Kidney function in the very elderly with hypertension: data from the hypertension in the very elderly (HYVET) trial
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The Use of Satellite Data to Determine the Changes of Hydrodynamic Parameters in the Gulf of Gdańsk via EcoFish Model
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Landsat 8 Data as a Source of High Resolution Sea Surface Temperature Maps in the Baltic Sea
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Application of a modified evolutionary algorithm for the optimization of data acquisition to improve the accuracy of a video-polarimetric system
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Multiservice Optical Fibre Local Area Networks For Data Transmission And Telemetry In The Electric Power Industry
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Transcriptomics in Toxicogenomics, Part I: Experimental Design, Technologies, Publicly Available Data, and Regulatory Aspects
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Mean Shift Segmentation Assessment for Individual Forest Tree Delineation from Airborne Lidar Data
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Application of physicochemical data for water-quality assessment of watercourses in the Gdansk Municipality (South Baltic coast)
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BatchI: Batch effect Identification in high-throughput screening data using a dynamic programming algorithm
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Evaluation of water turbine hydrodynamic thrust bearing performance on the basis of thermoelastohydrodynamic calculations and operational data.
PublicationW pracy przedstawiono analizę konstrukcji łożyska wzdłużnego turbiny wodnej. Łożysko zostało skonstruowane około 50 lat temu, a jego konstrukcja przewiduje kompensację termicznych odkształceń klocków. W analizie uwzględniono odkształcenia łożyska i wymianę ciepła w filmie smarowym i klockach łożyskowych. Poza obecną konstrukcją łożyska przeprowadzono również studium wpływu podstawowych parametrów konstrukcyjnych: grubości klocka...
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Different philosophical approaches to estimating missing data in AHP frameworks for uncertainty representation in risk assessments
PublicationAHP (ang. Analytic Hierarchy Process) jest jedną z metod szeroko stosowaną w wieloatrybutowym podejmowaniu decyzji. Zwykle ekspert lub grupa ekspertów jest proszona o wyrażenie swojej subiektywnej opinii o każdej z par wariantów decyzyjnych. Na tej podstawie tworzone są tzw. macierze ocen. Zdarza się często, że macierze takie są niekompletne i wtedy występuje problem brakujących danych. Referat dotyczy wybranych metod ich uzupełnienia.
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Count Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicators
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Occurrence and variability of River Habitat Survey features across Europe and the consequences for data collection and evaluation
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Seeking genetic signature of radiosensitivity - a novel method for data analysis in case of small sample sizes
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The effect of a unique halide-stabilizing residue on the catalytic properties of haloalkane dehalogenase DatA fromAgrobacterium tumefaciensC58
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Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations
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The data exchange between smart glasses and healthcare information systems using the HL7 FHIR standard
PublicationIn this study we evaluated system architecture for the use of smart glasses as a viewer of information, as a source of medical data (vital sign measurements: temperature, pulse rate, and respiration rate), and as a filter of healthcare information. All activities were based on patient/device identification procedures using graphical markers or features based on visual appearance. The architecture and particular use cases were implemented...
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Mobile inventory system for hydrotechnical objects using data from multiple sensors operating simultaneously
PublicationThe knowledge of the location, shape and other characteristics of spatial objects in the coastal areas has a significant impact on the functioning of ports, shipyards, and other water-infrastructure facilities, both offshore and inland. Therefore, measurements are taken of the underwater part of the waterside zone, which means the bottom of water and other underwater objects (e.g. breakwaters, docks, etc.), and objects above the...
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Methods for quality improvement of multibeam and LiDAR point cloud data in the context of 3D surface reconstruction
PublicationPoint cloud dataset is the transitional data model used in several marine and land remote-sensing applications. During further steps of processing, the transformation of point cloud spatial data to more complex models containing higher order geometric structures like edges and facets may be possible, if an appropriate quality level of input data is provided. Point cloud datasets usually contain a considerable amount of undesirable...
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Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
PublicationTo date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...
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Lipophilicity data for some preservatives estimated by reversed-phase liquid chromatography and different copmutation methods
PublicationW pracy przedstawiono wyniki badań właściwości chromatograficznych wybranych 12 związków z grupy kopnserwantów. Lipofilowy charakter tych związków był oceniany na podtsawie różnych parametrów retencyjnych (log Kw, log K i inne. Zastosowano narzędzie chemometryczne do zbadania korelacji występujących pomiędzy tymi parametrami retencji chromatogfraficznej.
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Brownian Motion in Optical Tweezers, a Comparison between MD Simulations and Experimental Data in the Ballistic Regime
PublicationThe four most popular water models in molecular dynamics were studied in large-scale simulations of Brownian motion of colloidal particles in optical tweezers and then compared with experimental measurements in the same time scale. We present the most direct comparison of colloidal polystyrene particle diffusion in molecular dynamics simulations and experimental data on the same time scales in the ballistic regime. The four most...
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Data set generation at novel test-rig for validation of numerical models for modeling granular flows
PublicationSignificant effort has been exerted on developing fast and reliable numerical models for modeling particulate flow; this is challenging owing to the complexity of such flows. To achieve this, reliable and high-quality experimental data are required for model development and validation. This study presents the design of a novel test-rig that allows the visualization and measurement of particle flow patterns during the collision...
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Radio system for monitoring and acquisition of data from traffic enforcement cameras - features and assumptions of the system
PublicationThe study presents the architecture and selected functional assumptions of Radio System for Monitoring and Acquisition of Data from Traffic Enforcement Cameras (RSMAD). Ultimately, the system will be used for transmission and archiving image data of traffic offenses, but can also perform other duties related to traffic safety. Implementation of the RSMAD system will facilitate, inter alia, issuing the fine process and supervision...
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Application of gas chromatographic data and 2D molecular descriptors for accurate global mobility potential prediction
PublicationMobility is a key feature affecting the environmental fate, which is of particular importance in the case of persistent organic pollutants (POPs) and emerging pollutants (EPs). In this study, the global mobility classification artificial neural networks-based models employing GC retention times (RT) and 2D molecular descriptors were constructed and validated. The high usability of RT was confirmed based on the feature selection...
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Quality of Life Surveys as a Method of Obtaining Data for Sustainable City Development—Results of Empirical Research
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Condition monitoring and fault diagnosis of wind turbines based on structural break detection in SCADA data
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Process Monitoring in Heavy Duty Drilling Rigs—Data Acquisition System and Cycle Identification Algorithms
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