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wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: CODING METASURFACE, SUPERVISED LEARNING, BEAM MANIPULATION, DIFFUSION, RADAR CROSS SECTION (RCS)
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Variable Data Structures and Customized Deep Learning Surrogates for Computationally Efficient and Reliable Characterization of Buried Objects
PublikacjaIn this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model has been used. The task is to predict simultaneously and independent of each characteristic parameters of a buried object of several radii at different positions (depth and lateral position) in various dispersive subsurface media. This study has analyzed variable...
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Case Study NEB Atlas / part II - Autodesk Forma analysis / King’s Cross, London, UK.
Dane BadawczeThe data present the results of the work on the analysis of modern settlements. The goal of this part of the research was to analyze housing estates already in place in various European cities. Analyses were performed in real time using artificial intelligence, and responses were searched for sun hours, daylight potential, noise, wind, and microclimate....
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Accurate Modeling of a Lossy Ferrite Circular Guide Section Magnetized Through a Rotary Four-Pole Magnetic Field
PublikacjaKorzystając z metody rodzajów sprzężonych opracowano model matematyczny umożliwiający określenie parametrów falowych i rozkładów pola em. fal występujących w ferrytowym falowodzie cylindrycznym magnesowanym czterobiegunowym polem magnetycznym. W oparciu o model określono macierz rozproszenia sekcji falowodu. Opracowane oprogramowanie pozwoliło na zbadanie charakterystyk częstotliwościowych sekcji ferrytowej i wskazanie możliwości...
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Becoming a Learning Organization Through Dynamic Business Process Management
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Digital competence learning in secondary adult education in Finland and Poland
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Scheduling Repetitive Construction Processes Using the Learning-Forgetting Theory
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Generation of microbial colonies dataset with deep learning style transfer
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Meta-Design and the Triple Learning Organization in Architectural Design Process
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Didaktische simulationsmodelle fur E-learning in der IK-ausbildung.
PublikacjaPrzedstawiono dydaktyczne modele symulacyjne wykorzystywane w zdalnym kształceniu z zakresu informatyki i technik komunikacyjnych. Pokazano na przykładach zbudowanych symulatorów, w jaki sposób zrealizować lub dostosować modele symulacyjne do zdalnego nauczania. Opisano doświadczenia autorów w wykorzystaniu modeli symulacyjnych w zdalnym nauczaniu.
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Deep learning-based waste detection in natural and urban environments
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Employing a biofeedback method based on hemispheric synchronization in effective learning
PublikacjaIn this paper an approach to build a brain computer-based hemispheric synchronization system is presented. The concept utilizes the wireless EEG signal registration and acquisition as well as advanced pre-processing methods. The influence of various filtration techniques of EOG artifacts on brain state recognition is examined. The emphasis is put on brain state recognition using band pass filtration for separation of individual...
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Building the Learning Environment for Sustainable Development: a Co-creation approach
PublikacjaEducation for sustainable development supports the improvement of knowledge, skills, attitudes and behaviors related to global challenges such as climate change, global warming and environmental degradation, among others. It is increasingly taking place through projects based on information and communication technologies. The effectiveness of the actions taken depends not only on the quality of the project activities or the...
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Agent-Based Population Learning Algorithm for RBF Network Tuning
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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An A-Team approach to learning classifiers from distributed data sources
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The detection of Alternaria solani infection on tomatoes using ensemble learning
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Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Network
PublikacjaDesigning microwave components involves managing multiple objectives such as center frequencies, impedance matching, and size reduction for miniaturized structures. Traditional multi-objective optimization (MO) approaches heavily rely on computationally expensive population-based methods, especially when exe-cuted with full-wave electromagnetic (EM) analysis to guarantee reliability. This paper introduces a novel and cost-effective...
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Processing of 1-nitroacridine-induced DNA-DNA cross-links by topoisomerase I is associated with enhanced cellular survival: a possible role of topoisomerase I in the removal of DNA cross-links
PublikacjaW tej pracy wykazujemy, że modyfikacje plazmidu indukowane przez wzrastające dawki 1-nitroakrydyn (nitracrine i związek C-857) prowadzą do zahamowania aktywności katalitycznej topoizomerazy I. Hamowanie to związane jest z pojawieniem się pojedynczoniciowych uszkodzeń DNA i tworzeniem kowalencyjnych kompleksów topoizomeraza I-DNA. Nie obserwowano takich efektów dla topoizomerazy typu II.Dalsze badania wykazały, że jedna z 1-nitroakrydyn...
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Combined Long-Period Fiber Grating and Microcavity In-Line Mach–Zehnder Interferometer for Refractive Index Measurements with Limited Cross-Sensitivity
PublikacjaThis work discusses sensing properties of a long-period grating (LPG) and microcavity in-line Mach–Zehnder interferometer (µIMZI) when both are induced in the same single-mode optical fiber. LPGs were either etched or nanocoated with aluminum oxide (Al2O3) to increase its refractive index (RI) sensitivity up to ≈2000 and 9000 nm/RIU, respectively. The µIMZI was machined using a femtosecond laser as a cylindrical cavity (d = 60...
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Electron attachment to hexafluoropropylene oxide (HFPO)
PublikacjaWe probe the electron attachment in hexafluoropropylene oxide (HFPO), C3F6O, a gas widely used in plasma technologies. We determine the absolute electron attachment cross section using two completely different experimental approaches: (i) a crossed-beam experiment at single collision conditions (local pressures of 5 × 10−4 mbar) and (ii) a pulsed Townsend experiment at pressures of 20–100 mbar. In the latter method, the cross sections...
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An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
PublikacjaThis study presents an advanced algorithm for selecting machine learning (ML) models for nitrous oxide (N2O) emission prediction in wastewater treatment plants (WWTPs) employing the activated sludge process. The examined ML models comprised multivariate adaptive regression spline (MARS), support vector machines (SVM), and extreme gradient boosting (XGboost). The study explores the concept that involves new criteria to select the...
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Early Detection of Malignant Transformation in Resected WHO II Low-Grade Glioma Using Diffusion Tensor-Derived Quantitative Measures
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Ordered titania nanotubes layer selectively annealed by laser beam for high contrast electrochromic switching
PublikacjaThe phase conversion from amorphous into crystalline one in the selected area of as-anodized titania nanotubes was achieved via laser treatment. The optimized processing parameters enable fast, one-minute crystallization of titania within an area limited by a shadow mask and without any morphology damage of ordered TiO2 tubular film. The laser annealed titania nanotubes could be easily overgrown by a conducting polymer without...
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Laser beam angular stabilization system based on a compact interferometer and a precise double-wedge deflector
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The mini ELITPC: Reconstruction and identification of charged particles tracks during beam tests at IFIN-HH
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Electron-beam irradiation in TEM of hard-segment homopolymers and polyurethanes with different hard-segment content.
PublikacjaZbadano odporność na niszczenie radiacyjne w transmisyjnym mikroskopie elektronowym homopolimeru segmentów sztywnych i poliuretanów z różną zawartością segmentów sztywnych. Dokonano rejestracji morfologii tych polimerów w TEM w trakcie obserwacji w jasnym polu oraz selektywnej dyfrakcji elektronowej. Analizowano tkże te polimery w mikroskopie polaryzacyjnym przed i po obserwacjach w TEM. Potwierdzono doniesienia literatutowe o...
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Influence of e-beam irradiation on poly(aliphatic/aromatic-ester) multiblock copolymers used as biomaterials
PublikacjaThe use of polymers became more relevant in medical applications for the versatility in processing and enhanced material properties of polymers. In order to be suitable as a biomaterial, it is of medical importance that these polymers are biocompatible and do not elicit negative responses from the body after implantation. Furthermore during the course of usage under load-bearing conditions, these biomaterials must sustain dynamical...
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Effect of E-Beam Irradiation on Thermal and Mechanical Properties of Ester Elastomers Containing Multifunctional Alcohols
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The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
PublikacjaRubbers combine the flexibility with mechanical strength, supporting myriad applications, but suffer from inherent flammability. Formulation and production of flame-retardant rubber composites (FRRCs) have intensively been practiced over years, but not comprehensively reviewed. This necessity has outlined collecting, analyzing, screening, classifying, and interpreting the literature with the aim of classifying the FRRCs. We quantified...
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Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
PublikacjaThis work deals with automatically detecting stuttering and its subclasses. An effective classification of stuttering along with its subclasses could find wide application in determining the severity of stuttering by speech therapists, preliminary patient diagnosis, and enabling communication with the previously mentioned voice assistants. The first part of this work provides an overview of examples of classical and deep learning...
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Germline DNA Retention in Murine and Human Rearranged T Cell Receptor Gene Coding Joints: Alternative Recombination Signal Sequences and V(D)J Recombinase Errors
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Marcin Kujawa dr hab. inż.
OsobyMarcin Kujawa ukończył studia na Wydziale Budownictwa Lądowego Politechniki Gdańskiej w 1999 roku, uzyskując stopień magistra inżyniera w specjalności mosty. Stopień naukowy doktora nauk technicznych w dziennie: budownictwo, pod kierunkiem profesora Czesława Szymczaka, uzyskał w 2007 roku na Wydziale Inżynierii Lądowej Politechniki Gdańskiej, broniąc pracę doktorską, pt.: Statyka i analiza wrażliwości rusztów zbudowanych z prętów...
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Closed Form Constraint Equations Used to Express Frictionless Slip of Multibody Systems Attached to Finite Elements—Application to a Contact between a Double Pendulum and a Beam
PublikacjaThis paper focuses on the numerical modeling of the dynamics of mechanical systems. Robots that can inspect high-voltage lines inspired this research. Their control systems must anticipate potential grab positions appropriately. We intend to formulate equations dedicated to the numerical description of the robot/cable contact. The investigated problem is not straightforward, since parts of the modeled systems are numerically inhomogeneous....
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Anna Lisowska-Oleksiak prof. dr hab.
OsobyAnna Lisowska-Oleksiak, born in 1952, has been working at GUT since 1977. Currently is employed at the Faculty of Chemistry as a full professor. She was employed as a research assistant at the University of St Andrews in the group of C. A. Vincent and P.G. Bruce (1991-1994). She completed a two-month research internship in CEA Grenoble (2011). Anna Lisowska-Oleksiak obtained her MSc in chemistry at Nicolaus Copernicus University...
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Numerical modeling of GPR field in damage detection of a reinforced concrete footbridge
PublikacjaThe paper presents a study on the use of the ground penetrating radar (GPR) method in diagnostics of a footbridge. It contains experimental investigations and numerical analyses of the electromagnetic field propagation using the finite difference time domain method (FDTD). The object of research was a reinforced concrete footbridge over a railway line. The calculations of the GPR field propagation were performed on a selected cross-section...
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Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
PublikacjaThe rapid development of shipping trade pushes automated container terminals toward the direction of intelligence, safety and efficiency. In particular, the formulation of AGV scheduling tasks and the safety and stability of transportation path is an important part of port operation and management, and it is one of the basic tasks to build an intelligent port. Existing research mainly focuses on collaborative operation between...
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Characterization of volatile compounds, structural, thermal and physico-mechanical properties of cross-linked polyethylene foams degraded thermo-mechanically at variable times
PublikacjaWaste cross-linked polyethylene foam (wXLPE) was thermo-mechanically degraded at variable time using internal batch mixer. The progress of wXLPE degradation has been investigated by using a simultaneous thermogravimetric/differential scanning calorimetry analyzer coupled with Fourier transform infrared spectroscopy, swelling measurements, tensile tests and scanning electron microscopy. Volatile organic compounds generated during...
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Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France
PublikacjaCurrent Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved issue in remote sensing. In classifying land cover, utilizing SITS rather than one image might benefit differentiating across classes because of their varied temporal patterns. The aim...
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The impact of gender wage gap on sectoral economic growth – cross-country approach
PublikacjaWe propose an empirical analysis of testing the relationship between gender wage gap and economic growth. The study takes into account 12 manufacturing sectors in 18 OECD countries for the period between 1970 and 2005.We use industrial statistics (EU KLEMS, 2008) on female and male wages that distinguish between wages paid to different groups of workers classified according to skill level: high, medium and low. We estimate augmented...
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Electoral Turnout and State Redistribution: A Cross-National Study of Fourteen Developed Countries
PublikacjaThis study explores the relationship between electoral participation and income redistribution by way of social transfers, using data from the European Social Survey, the Comparative Study of Electoral Systems, and the Luxembourg Income Study. It extends previous research by measuring the income skew of turnout rather than using average turnout as a proxy for its income bias. We find that, controlling for a number of other variables,...
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Caring Ability and Professional Values of Polish Nursing Students—A Cross-Sectional Study
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Application of cross-priming amplification (CPA) for detection of fowl adenovirus (FAdV) strains
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Cross sections for electron scattering from sulfuryl chloride fluoride (SO2ClF) molecules
PublikacjaArtykuł prezentuje zmierzone całkowite przekroje czynne oraz obliczone sprężyste i jonizacyjne przekroje czynne na rozpraszanie elektronów na drobinach SO2ClF dla niskich i średnich energii zderzenia. Wyniki porównano z dostępnymi przekrojami czynnymi dla drobin zawierających siarkę jako atom centralny.
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The Perception and Attitudes toward COVID-19 Vaccines: A Cross-Sectional Study in Poland
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Dental caries‐related primary hypertension in children and adolescents: Cross‐sectional study
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Human Granulosa Cells—Stemness Properties, Molecular Cross-Talk and Follicular Angiogenesis
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Electron-scattering total cross sections for complex molecules: group additivity rule
PublikacjaZaprezentowano całkowite przekroje czynne na rozpraszanie elektronów na dwóch rodzinach drobin: pierwszej - zawierającej azot jako atom centralny [N(CH3)3, NH2CH3, NH3]oraz drugiej - rodzinę eterów cyklicznych [c-(CH2)nO, gdzie n=2-5]. Zostało pokazane, że TCS dla niektórych drobin wieloatomowych można wyznaczyć na podstawie wyników TCS dla drobin o prostszej budowie lub ich fragmentów.
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Immobilization of thermostable beta glucosidase from Sulfolobus shibatae by cross-linking with transglutaminase
PublikacjaOpracowano metodę immobilizacji termostabilnej beta-glukozydazy przez katalizowane transglutaminazą sieciowanie na nośniku krzemionkowym. Aktywność uzyskanego preparatu wynosi 3883 U/g nośnika. Największą wydajność unieruchamiania uzyskano w temperaturze 50C, przy pH 5,0. Immobilizacja prawie nie zmieniała optymalnego pH działania enzymu, który uzyskiwał największą aktywność w temperaturze 98C. Badania w reaktorze kolumnowym wykazały...
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Measurements of absolute elastic and vibrational cross sections for electron scattering from tetrahydrofuran
PublikacjaPrzedstawiono wstępne wyniki pomiaru absolutnych przekrojów czynnych na zderzenie elektronów z drobinami tetrahydrofuranu przy energii 10eV.
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Unraveling the Protective Effects of Cognitive Reserve on Cognition and Brain: A Cross-Sectional Study
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