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Search results for: ORACLE ILEARNING
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International Journal of Technology Enhanced Learning
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International Journal of Research in E-learning
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Interdisciplinary Journal of Problem-Based Learning
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International Journal of Work-Integrated Learning
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International Journal of Machine Learning and Computing
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Studies in Self-Access Learning Journal
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Visual Inquiry-Learning & Teaching Art
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International Journal of Early Childhood Learning
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Per Linguam-A Journal of Language Learning
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Teaching & Learning Inquiry-The ISSOTL Journal
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International Journal of Mobile Learning and Organisation
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International Journal of Learning in Higher Education
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Journal of Education and e-Learning Research
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Adults Learning Mathematics International Journal
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Journal of Teaching and Learning for Graduate Employability
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Journal of Digital Learning in Teacher Education
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Journal of Research in Innovative Teaching and Learning
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Research and Practice in Technology Enhanced Learning
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Ijaz Arabi Journal of Arabic Learning
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Language Learning and Technology (LL&T)
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Minerva - A Review of Science, Learning and Policy
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MedEdPORTAL : the journal of teaching and learning resources
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Oral Surgery Oral Medicine Oral Pathology Oral Radiology
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Enhancing seismic performance of buckling-restrained brace frames equipped with innovative bracing systems
PublicationNowadays, to improve the performance of conventional bracing systems, in which, buckling in the pressure loads is the main disadvantage, the buckling-restrained brace (BRB) is introduced as a solution. In this study, the performance of the BRB system was improved with innovative lateral-resisting systems of double-stage yield buckling-restrained brace (DYB), and a combination of DYB improved with shape memory alloy (SMA) materials...
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Anthropogenic trace metals in Setiu Wetland: Spatial and seasonal distribution and implications for environmental health
PublicationThe growing urban wastewater volume poses a major global environmental challenge, especially in developing nations where inadequate treatment and discharge impact clean water availability. This study focused on Setiu Wetland, aiming to analyze seasonal and spatial variations of trace metals in particulate form from anthropogenic and pathogenic sources. Surface water samples were collected from multiple stations, measuring physical...
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Investigation on the Sources and Impact of Trace Elements in the Annual Snowpack and the Firn in the Hansbreen (Southwest Spitsbergen)
PublicationWe present a thorough evaluation of the water soluble fraction of the trace element composition (Ca, Sr, Mg, Na, K, Li, B, Rb, U, Ni, Co, As, Cs, Cd, Mo, Se, Eu, Ba, V, Ge, Ga, Cr, Cr, P, Ti, Mn, Zr, Ce, Zn, Fe, Gd, Y, Pb, Bi, Yb, Al, Nb, Er, Nd, Dy, Sm, Ho, Th, La, Lu, Tm, Pr, Tb, Fe, In, Tl) and their fluxes in the annual snowpack and the firn of the Hansbreen (a tidewater glacier terminating in the Hornsund fjord, southwest...
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Hydrological signals in polar motion excitation – Evidence after fifteen years of the GRACE mission
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Analysis of temporal leachibility of trace elements to the environment of opoka-rocks used in historical building
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Troubleshooting of the determination of bisphenol A at ultra-trace levels by liquid chromatography and tandem mass spectrometry
PublicationDetermination of trace amounts of bisphenol A (BPA) may cause problems mainly related to the presence of BPA in solvents (even in LC-MS grade), laboratory vessels, and plastic equipment used for sample preparation. Variable and sometimes significant amounts of BPA present in the background cause problems in obtaining good repeatability of measurements at the ultra-trace levels. Such observations (i.e., poor repeatability of results)...
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Plasma micronutrients, trace elements, and breast cancer in BRCA1 mutation carriers: an exploratory study
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Acidity trace pollutants of urban rain and roof runoff from selected roof coverings
PublicationW pracy przedstawiono dane dotyczące chemizmu opadów atmosferycznych i wód spływnych pobranych na terenie dużej aglomeracji miejskiej. Oznaczane były: pH, aniony - chlorki, azotany i siarczany oraz metale ciężkie - cynk, ołów, miedź, kadm. Próbki były pobierane na terenie Trójmiasta i w Dąbrówce Tczewskiej koło Gdańska z budynków pokrytych nowymi i starymi pokryciami. Badania prowadzono od kwietnia do czerwca 2006.
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Teeth as an Indicator of the Environmental Exposure of Silesia Province’s Inhabitants in Poland to Metallic Trace Elements
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Osnowy kolejowe oraz prace geodezyjne podczas modernizacji i budowy linii kolejowych
PublicationOmówiono zagadnienia związane z geodezyjną budowy i modernizacji linii kolejowej na przykładzie Pomorskiej Kolei Metropolitalnej.
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Prace badawczo-rozwojowe prowadzone w Katedrze Hydrauliki i Pneumatyki Politechniki Gdańskiej.
PublicationW Katedrze Hydrauliki i Pneumatyki Politechniki Gdańskiej prowadzone są prace badawcze nowych konstrukcji pomp i silników hydrauicznych. Obecnie prowadzone badania dotyczą: pomp wielotłoczkowych ze sterowaniem krzywkowym, hydraulicznych silników satelitowych z kompensacją luzów, hydraulicznych silników satelitowych zasilanych emulsją wodno-olejową, działania hydraulicznych elementów i układów w niskiej temperaturze.
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Prace naukowo-badawcze i studialne pracowników Katedry Inżynierii Drogowej Politechniki Gdańskiej
PublicationHistoria Katedry; opis prac naukowo-badawczych i studialnych wykonanych w zespole inzynierii ruchu w latach 1996-2005.
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The concept of weighted mean friction angle in bearning capacity of footings of sands
PublicationZagadnienie średniej ważonej kąta tarcia wewnętrznego w nośności fundamentów posadowionych w gruntach niespoistych.
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Emulsion cleaning of metal surfaces contaminated with fresh and oxidized printing ink.
PublicationWykonano badania usuwania farby drukarskiej, stosowanej do druku offsetowego za pomocą emulsji terpentyny i hexanu w wodzie.
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The kinematic model of the novel autonomous underwater robot for ship hull cleaning
PublicationOmówiono zagadnienia związane ze sterowaniem autonomicznego robota podwodnego przeznaczonego do oczyszczania kadłuba statku z bioporostów. Dokonano przeglądu wybranych prac na temat systemów lokalizacji i algorytmów sterowania robotów podwodnych oraz przedstawiono projekt własny, w którym zawarto opis obiektu podwodnego przemieszczającego się po ustalonym torze. Dla określonych warunków roboczych zaproponowano koncepcję metody...
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Citizenship Teaching and Learning
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Epoxidation of natural limonene extracted from orange peels with hydrogen peroxide over Ti-MCM-41 catalyst
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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data
PublicationWhether the computer is driving your car or you are, advanced driver assistance systems (ADAS) come into play on all levels, from weather monitoring to safety. These modern-day ADASs use various assisting tools for drivers to keep the journey safe; these sophisticated tools provide early signals of numerous events, such as road conditions, emerging traffic scenarios, and weather warnings. Many urban applications, such as car-sharing...
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Application of fiber optic sensors using Machine Learning algorithms for temperature measurement of lithium-ion batteries
PublicationOptical fiber sensorsusing low-coherence interferometry require processing ofthe output spectrum or interferogramto quickly and accurately determine the instantaneous value of the measured quantity, such as temperature.Methods based on machine learning are a good candidate for this application. The application of four such methods in an optical fiber temperature sensoris demonstrated.Using aZnO-coated...
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Technological vs. Non-Technological Mindsets: Learning From Mistakes, and Organizational Change Adaptability to Remote Work
PublicationThe permanent implementation of the change in working methods, e.g., working in the virtual space, is problematic for some employees and, as a result, for management leaders. To explore this issue deeper, this study assumes that mindset type: technological vs. non-technological, may influence the organizational adaptability to change. Moreover, the key interest of this research is how non-technological mindsets...
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NLITED - New Level of Integrated Techniques for Daylighting Education: Preliminary Data on the Use of an E-learning Platform
PublicationProject NLITED – New Level of Integrated Techniques for Daylighting Education - is an educational project for students and professionals. The project's objective is to create and develop an online eLearning platform with 32 eModules dedicated to daylight knowledge. The project also offers e-learners two summer school training where the theory is put into practice. The platform was launched on January 31, 2022. The paper...
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Reliable computationally-efficient behavioral modeling of microwave passives using deep learning surrogates in confined domains
PublicationThe importance of surrogate modeling techniques has been steadily growing over the recent years in high-frequency electronics, including microwave engineering. Fast metamodels are employed to speedup design processes, especially those conducted at the level of full-wave electromagnetic (EM) simulations. The surrogates enable massive system evaluations at nearly EM accuracy and negligible costs, which is invaluable in parameter...
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various Machine learning techniques
PublicationMachine Learning (ML) method is widely used in engineering applications such as fracture mechanics. In this study, twenty different ML algorithms were employed and compared for the prediction of the fracture toughness and fracture load in modes I, II, and mixed-mode (I-II) of various materials, including fibre-reinforced concrete, cement mortar, sandstone, white travertine, marble, and granite. A set of 401 specimens of “Brazilian...
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublicationTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
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Prediction of Wastewater Quality at a Wastewater Treatment Plant Inlet Using a System Based on Machine Learning Methods
PublicationOne of the important factors determining the biochemical processes in bioreactors is the quality of the wastewater inflow to the wastewater treatment plant (WWTP). Information on the quality of wastewater, sufficiently in advance, makes it possible to properly select bioreactor settings to obtain optimal process conditions. This paper presents the use of classification models to predict the variability of wastewater quality at...
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An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
PublicationThis 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...