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Search results for: PROBLEM-BASED LEARNING
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Powikłania po rekonstrukcji piersi: problem zakażeń i strategii prewencyjnej - przegląd literaturowy
PublicationW niniejszej pracy przedstawiono dane dotyczące powikłań po rekonstrukcji piersi. Manuskrypt ma na celu usystematyzowanie wyników badań z ostatnich lat wraz z aspektami, takimi jak: częstotliwość występowania powikłań oraz ich rodzaj, czynniki predysponujące, a także możliwości profilaktyki. Przeanalizowano dane literaturowe z ogólnie dostępnych artykułów z okresu ostatnich pięciu lat, ze szczególnym uwzględnieniem zakażeń. Do...
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Comparison of Two Nonlinear Predictive Control Algorithms for Dissolved Oxygen Tracking Problem at WWTP
PublicationThe wastewater treatment plant is classified as a complex system, due to its nonlinear dynamics, large uncertainty of disturbance inputs, multiple time scales in the internal process dynamics, and multivariable structure. The aeration process, in turn, is an important and expensive part of wastewater treatment plant operation. All operating parameters of the aeration in biological processes are to be precisely controlled to provide...
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Implementation of algebraic procedures on the GPU using CUDA architecture on the example of generalized eigenvalue problem
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Territorial Extrapolation of Basic Data as a Solution of the Problem of Its Deficiency during Mass Appraisal
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Nauka i szkolnictwo wyższe a problem innowacyjności w polityce regionalnej wojewodztwa pomorskiego
PublicationTreścią pracy jest próba ukazania związków między nauką i szkolnictwem wyższym a innowacyjnością w polityce regionalnej województwa pomorskiego.
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Czy mamy kryzys w edukacji public relations w Polsce? Problem standaryzacji.
PublicationArtykuł stawia podstawowe pytania dotyczące konstruowania standardów w w edukacji public relations. Autorka widzi konieczność podjęcia pracy nad takimi standardami w Polsce, proponując skorzystanie z istniejących juz podobnych doku,mentów na świecie np. ameruykańskiego dokumentu Port of Entry.
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Application of the CCHE1D model to the problem of flood control in Nysa Kłodzka reservoir system in Poland
PublicationW pracy przedstawiono wyniki zastosowania modelu CCHE1D do sterowania pracą zbiorników retencyjnych na Nysie Kłodzkiej w trakcie przejścia fali wezbraniowej wywołanej opadami deszczu na zlewni. Okazało się, że zastosowane do sterowania algorytmy optymalizacyjne są efektywne tylko w przypadku stosowania uproszczonych modeli transformacji fali wezbraniowej w rzece. Modele hydrodynamiczne, jak zastosowany model CCHE1D wydłużają proces...
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Potrzeby wodne roślin energetycznych jako problem oddziaływania na środowisko w Polsce
PublicationPraca przedstawia strategię rozwoju odnawialnych źródeł energii w Polsce, ze szczególnym uwzględnieniem biomasy. Wskazuje się zwłaszcza na instrumenty prawne i finansowe. Produkcja biomasy wymagać będzie znacznych ilości wody w rolnictwie nie-żywnościowym, a więc konieczne będzie skoordynowanie strategii rozwoju energetyki ze strategia gospodarowania woda w Polsce. Z obliczeń wynika, że potrzeby wodne roślin energetycznych będą...
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Potrzeby wodne roślin energetycznych jako problem oddziaływania na środowisko w Polsce
PublicationPraca przedstawia strategię rozwoju odnawialnych źródeł energii w Polsce, ze szczególnym uwzględnieniem biomasy. Wskazuje się zwłaszcza na instrumenty prawne i finansowe. Produkcja biomasy wymagać będzie znacznych ilości wody w rolnictwie nie-żywnościowym, a więc konieczne będzie skoordynowanie strategii rozwoju energetyki ze strategia gospodarowania woda w Polsce. Z obliczeń wynika, że potrzeby wodne roślin energetycznych będą...
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Problem emisji oparów podczas ekspedycji materiałów bitumicznych oraz budowy dróg asfaltowych
PublicationOd wielu lat budowie dróg asfaltowych towarzyszy dyskusja nad ich oddziaływaniem na środowisko, a przede wszystkim zdrowie robotników pracujących przy realizacji inwestycji drogowych. Również w Polsce ta problematyka znajduje coraz większe zainteresowanie, czego efektem była m.in. dyskusja na łamach Magazynu Autostrady. Przyczyną obecności w masie bitumicznej, wykorzystywanej m.in. do budowy nawierzchni drogowych, lotnych i niskolotnych...
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Problem of proper decomposition and initialization of acoustic and entropy modes in a gas affected by the mass force
PublicationThe relations connecting perturbations specific for acoustic and entropy modes in an accelerated fluid or in a fluid affected by constant mass force, are derived. They allow to decompose the total vector of perturbations and the overall energy into acoustic and non-acoustic parts uniquely at any instant. In order to do this, three quantities are required, for example total perturbations in entropy, pressure and velocity. The evaluations...
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Problem wody gruntowej pod ciśnieniem w aspekcie posadowienia dróg w wykopach
PublicationJednym z problemów, który wymaga rozwiązania na etapie przygotowania i realizacji inwestycji drogowych, jest woda gruntowa na odcinkach zlokalizowanych w wykopach. Może występować w postaci zwierciadła swobodnego, co objawia się sączeniami i wypływami ze skarp i/lub w postaci zwierciadła napiętego, uniemożliwiającego realizację robót lub prawidłową eksploatację z uwagi na przebicia i wypływy przez warstwy podłoża gruntowego nawierzchni....
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Solvent Screening for Solubility Enhancement of Theophylline in Neat, Binary and Ternary NADES Solvents: New Measurements and Ensemble Machine Learning
PublicationTheophylline, a typical representative of active pharmaceutical ingredients, was selected to study the characteristics of experimental and theoretical solubility measured at 25 °C in a broad range of solvents, including neat, binary mixtures and ternary natural deep eutectics (NADES) prepared with choline chloride, polyols and water. There was a strong synergistic effect of organic solvents mixed with water, and among the experimentally...
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Bio based PUR-PIR foams thermal degradation (TG) and isoconversional kinetics
Open Research DataIn the present work, we perform a thorough thermogravimetric (TG) analysis of the bio-based polyurethane – polyisocyanurate (PUR-PIR) foams in both nitrogen and oxygen atmosphere. A sustainable element of the foam was a biopolyol obtained via acid-catalyzed liquefaction of Zostera Marina and Enteromorpha Algae biomass. Based on isoconversional analysis...
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Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
PublicationShip imaging position plays an important role in visual navigation, and thus significant focuses have been paid to accurately extract ship imaging positions in maritime videos. Previous studies are mainly conducted in the horizontal ship detection manner from maritime image sequences. This can lead to unsatisfied ship detection performance due to that some background pixels maybe wrongly identified as ship contours. To address...
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Influence of statistical errors on damage detection based on structuralflexibility and mode shape curvature
PublicationDamage detection procedures based on measured natural frequencies and building structure mode shapes are discussed in this paper. Modal curvature and structural flexibility approaches are tested. Attention is paid to the modal identification errors that influence damage detection. This problem is studied using a computer simulation of a simple supported beam. For practical cases, the peak picking methodand its statistical errors...
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Categorization of emotions in dog behavior based on the deep neural network
PublicationThe aim of this article is to present a neural system based on stock architecture for recognizing emotional behavior in dogs. Our considerations are inspired by the original work of Franzoni et al. on recognizing dog emotions. An appropriate set of photographic data has been compiled taking into account five classes of emotional behavior in dogs of one breed, including joy, anger, licking, yawning, and sleeping. Focusing on a particular...
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MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
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Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
PublicationPerforming global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...
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imPlatelet classifier: image‐converted RNA biomarker profiles enable blood‐based cancer diagnostics
PublicationLiquid biopsies offer a minimally invasive sample collection, outperforming traditional biopsies employed for cancer evaluation. The widely used material is blood, which is the source of tumor-educated platelets. Here, we developed the imPlatelet classifier, which converts RNA-sequenced platelet data into images in which each pixel corresponds to the expression level of a certain gene. Biological knowledge from the Kyoto Encyclopedia...
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Bimodal Emotion Recognition Based on Vocal and Facial Features
PublicationEmotion recognition is a crucial aspect of human communication, with applications in fields such as psychology, education, and healthcare. Identifying emotions accurately is challenging, as people use a variety of signals to express and perceive emotions. In this study, we address the problem of multimodal emotion recognition using both audio and video signals, to develop a robust and reliable system that can recognize emotions...
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Phylogenetic trees of genus Oncidium Sw. based on analysis of DNA sequences
Open Research DataGenus Oncidium Sw. is widely regarded as a polyphiletic, and the taxonomic boundaries between him and such genera as Odontoglossum Kunth. or Miltonia Lindley remain blurred. The goal of the study was to determine the phylogenetic relationships within the genus Oncidium s.lato based on the DNA sequences analysis. The correlation between molecular data...
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A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study
PublicationThis study presents an innovative hybrid Adaptive Support Vector Machine - Monte Carlo Simulation (ASVM-MCS) framework for reliability analysis in complex engineering structures. These structures often involve highly nonlinear implicit functions, making traditional gradient-based first or second order reliability algorithms and Monte Carlo Simulation (MCS) time-consuming. The application of surrogate models has proven effective...
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Online Interactivity – Shift Towards E-textbook-based Medical Education
PublicationTextbooks have played the leading role in academic education for centuries and their form has evolved, adapting to the needs of students, teachers and technological possibilities. Advances in technology have caused educators to look for new sources of knowledge development, which students could use inside and outside the classroom. Today’s sophisticated learning tools range from virtual environments to interactive multimedia resources,...
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On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
PublicationNitrogen dioxide (NO2) is a prevalent air pollutant, particularly abundant in densely populated urban regions. Given its harmful impact on health and the environment, precise real-time monitoring of NO2 concentration is crucial, particularly for devising and executing risk mitigation strategies. However, achieving precise measurements of NO2 is challenging due to the need for expensive and cumbersome equipment. This has spurred...
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Widening Participation and lifelong learning
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Learning Disabilities Research & Practice
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Journal of Interactive Learning Research
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Australian Journal of Adult Learning
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Lifelong Learning in Europe (LLinE)
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British Journal of Learning Disabilities
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Academy of Management Learning & Education
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Journal of Interactive Online Learning
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Learning Culture and Social Interaction
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Journal of Academic Language and Learning
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Foundations and Trends in Machine Learning
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International Journal of Knowledge and Learning
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International Journal of Innovation and Learning
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Currents in Pharmacy Teaching and Learning
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Independent Journal of Teaching and Learning
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Information Technologies and Learning Tools
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Electronic Journal of e-Learning
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International Journal of Pedagogies & Learning
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Journal of Language Teaching and Learning
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International Journal of Learning Technology
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Innovation in Language Learning and Teaching
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Active Learning in Higher Education
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Language Learning in Higher Education
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Learning Disabilities-A Multidisciplinary Journal
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Australian Journal of Learning Difficulties
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