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Wyniki wyszukiwania dla: MARINE RESTORATION
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Design of new cholinesterase inhibitors based on phosphorus analogs of tacrine as potential anti-Alzheimer’s disease agents
PublikacjaBased on the analysis of the determined free binding energy (using the AutoDock Vina 1.1.2 docking program), the most potent cholinesterase inhibitors were selected. Moreover, studies of 3D visualization of the results of molecular modeling led to the identification of potential sites for the interaction of new potential inhibitors with amino acid residues building active sites of investigated cholinesterases.
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublikacjaTreatment 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
PublikacjaOne 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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Control Strategy of a Five-Phase Induction Machine Supplied by the Current Source Inverter With the Third Harmonic Injection
PublikacjaIn the five-phase induction machine (IM), it is possible to better use the electromagnetic circuit than in the three-phase IM. This requires the use of an adequate converter system which will be supplied by an induction machine. The electric drive system described, in this article, includes the five-phase induction machine supplied by the current source inverter (CSI). The proposed novelty—not presented previously—is the control...
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Verification of Satellite Railway Track Position Measurements Making Use of Standard Co-Ordinate Determination Techniques
PublikacjaThe article presents the results of satellite railway track position measurements performed by a multidisciplinary research team, the members of which represented Gdansk University of Technology and Gdynia Maritime University. Measuring methods are described which were used for reconstructing the railway track axis position and diagnosing railway track geometry deformations. As well as that, the description of the novel method...
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Lower Rim Substituted p-tert-Butyl-Calix[4]arene. Part 15. Pb(II)-Ion-Selective Electrodes Based on p-tert-Butyl-calix[4]arene Thioamides.
PublikacjaTetra podstawione tioamidowe pochodne para-tert-butylokaliks[4]arenu (1-5) zostały zastosowane jako jonofory w membranowych elektrodach jonoselektywnych (EJS) selektywne na kationy Pb(II). Wyznaczono współczynniki selektywności. Czwartorzędowe kaliks[4]aren-tioamidy (1,2) wykazują nadzwyczaj dobrą selektywność na kationy Pb(II) w porównaniu z kaliks[4]aren-amidami. Membrany z tymi ligandami wykazują dużą trwałość, a charakterystyki...
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Lower rim substituted p-tert-butyl-calix[4]arene. Part 17. Synthesis, extractive and ionophoric properties of p-tert-butylcalix[4]arene appended with hydroxamic acid moieties
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Lower rim substituted p-tert-butyl-calix[4]arene. Part 16. Synthesis of 25,26,27,28-tetrakis(piperidinylthiocarbonylmethylene)-p-tert-butylcalix[4]arene and its interaction with metal ions
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Lower rim substituted p-tert-butyl-calix[4]arene. Part 17. synthesis, extractive and ionophoric properties of p-tert-butylcalix[4]arene appended with hydroxamix acid moieties
PublikacjaThe synthesis and characterization of four p-tert-butylcalix[4]arene-hydroxamic acidc are reported. The dependence of the metal ion binding, assessed by liquid extraction of the metal nitrates from water into dichloromethane in individual and competitive experiments, on the ligand structure, is presented. The results showed that those ligands could be successfully used in separation process of trnasition and heavy metals often...
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Response of murine gut microbiota to a prebiotic based on oligosaccharides derived via hydrolysis of fungal α-(1→3)-d-glucan: Preclinical trial study on mice
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Tadeusz Stolarski prof. dr hab. inż.
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Journal of Ocean Engineering and Marine Energy
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JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY
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Mehanika mašin, mehanizmov i materialov
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Annales Universitatis Mariae Curie-Skłodowska Sectio I Philosophia-Sociologia
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ANNALES UNIVERSITATIS MARIAE CURIE-SKŁODOWSKA, SECTIO DD: MEDICINA VETERINARIA
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ANNALES UNIVERSITATIS MARIAE CURIE-SKŁODOWSKA, SECTIO J: PAEDAGOGIA-PSYCHOLOGIA
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Annales Universitatis Mariae Curie-Sklodowska, sectio N – Educatio Nova
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High resolution optical and acoustic remote sensing datasets of the Puck Lagoon
PublikacjaThe very shallow marine basin of Puck Lagoon in the southern Baltic Sea, on the Northern coast of Poland, hosts valuable benthic habitats and cultural heritage sites. These include, among others, protected Zostera marina meadows, one of the Baltic’s major medieval harbours, a ship graveyard, and likely other submerged features that are yet to be discovered. Prior to this project, no comprehensive high-resolution remote sensing...
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Maciej Niedźwiecki prof. dr hab. inż.
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Andrzej Stateczny prof. dr hab. inż.
OsobyProf. dr hab. inż. Andrzej Stateczny jest profesorem Politechniki Gdańskiej i prezesem firmy Marine Technology Ltd. Jego zainteresowania naukowe koncentrują się głównie wokół nawigacji, hydrografii i geoinformatyki. Obecnie prowadzone badania obejmują nawigację radarową, nawigację porównawczą, hydrografię, metody sztucznej inteligencji w zakresie przetwarzania obrazów i fuzji danych wielosensorycznych. Był kierownikiem lub głównym...
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Joanna Wolszczak-Derlacz dr hab.
OsobyOd 2001 roku pracuję na Politechnice Gdańskiej, na Wydziale Zarządzania i Ekonomii, od 1 lipca 2016 na stanowisku profesora nadzwyczajnego. W 2006 r. uzyskałam stopień doktora nauk ekonomicznych, moja rozprawa została wyróżniona Nagrodą Prezesa Rady Ministrów. W latach 2007/2008 byłam beneficjentką stypendium podoktorskiego Max Weber Fellowship w Europejskim Instytucie Uniwersyteckim (European University Institute) we Florencji...
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New sorbent materials for selective extraction of cocaine and benzoylecgonine from human urine samples
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Evaluation of occupational exposure in a slide bearings factory on the basis of urine and blood sample analyses
PublikacjaZbadano wpływ pracy w zakładach łożysk ślizgowych na zdrowie pracowników. Przeprowadzono analizę próbek moczu i krwi pobranych od 42 pracowników i 6 osób zatrudnionych w administracji przedsiębiorstwa, stanowiących grupę kontrolną. Oznaczono zawartość Al, Cu, Pb i Zn we krwi i moczu pracowników dwukrotnie, przed i po terapii za pomocą chelatowania, stosując ICP-MS oraz metodę dodatku wzorca. Istotność różnic w zawartości pierwiastków...
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Aquaporin 2: Identification and analysis of expression in calves’ urine during their first month of life
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Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
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Amine-functionalized magnetite-silica nanoparticles as effective adsorbent for removal of uranium(VI) ions
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Determination of cyanide ion in urine samples using ion chromatography with pulsed amperometric detection.
PublikacjaCyanides are widely applied in industrial activity, including gold and silver mining and the production of organic chemicals. HCN is also formed directly from fossil fuel combustion sources from gasoline and diesel vehicles. In natural environment, in plants seeds for example an apple seed, it exists as a cyanogenic glycosides. The amount of cyanide ions originating from food products is however rather small. Larger concentrations...
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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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Raw data of AuAg nanoalloy plasmon resonances used for machine learning method
Dane BadawczeRaw data used for machine learning process. UV-vis measurements of AuAg alloyed nanostructures created from thin films. Plasmonic band position dependence on fabrication parameters. Small presentation reviewing achieved structures and their properties.
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Technology and democracy: the who and how in decision-making. The cases of Estonia and Catalonia. METADATA
Dane BadawczeThe analysis of the Estonian data comes mainly from studies conducted to analyse the cost-efficiency of the Estonian online voting model (Krimmer; Duenas-Cid; Krivonosova, 2021), as well as from the contagion effect that ensued in other parts of the Estonian administration after the voting system was developed (Krimmer; Duenas-Cid,2019). In both cases,...
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Marek Kubale prof. dr hab. inż.
OsobyDetails concerning: Qualifications, Experiences, Editorial boards, Ph.D. theses supervised, Books, and Recent articles can be found at http://eti.pg.edu.pl/katedra-algorytmow-i-modelowania-systemow/Marek_KubaleGoogle ScholarSylwetka prof. Marka Kubalego Prof. Marek Kubale pracuje na Wydziale ETI Politechniki Gdańskiej nieprzerwanie od roku 1969. W tym czasie napisał ponad 150 prac naukowych, w tym ponad 40 z listy JCR. Ponadto...
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Presentation of Novel Architecture for Diagnosis and Identifying Breast Cancer Location Based on Ultrasound Images Using Machine Learning
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Ultrasonic Evaluation of Cement-Based Building Materials Modified Using Marble Powder Sourced from Industrial Wastes
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Making European Muslims: Religious Socialization among Young Muslims in Scandinavia and Western Europe, edited by Mark Sedgwick
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Integrated Processing: Quality Assurance Procedure of the Surface Layer of Machine Parts during the Manufacturing Step "Diamond Smoothing"
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Molecular Simulations Using Boltzmann’s Thermally Activated Diffusion - Implementation on ARUZ – Massively-parallel FPGA-based Machine
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918 The role of patients and doctors in making decisions about the choice of the kind of adjuvant treatment in early breast cancer
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260. The role of patients and doctors in making decisions about the choice of the kind of adjuvant treatment in early brest cancer
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The Impact of Operational Parameters on Polypropylene Membrane Performance during the Separation of Oily Saline Wastewaters by the Membrane Distillation Process
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The Influence of Permanent Magnet Length and Magnet Type on Flux-control of Axial Flux Hybrid Excited Electrical Machine
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Cost of Equity of Coal-Fired Power Generation Projects in Poland: Its Importance for the Management of Decision-Making Process
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Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
PublikacjaExamining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent advances in sensitivity analysis methodology, optimization of training hyperparameters, and state-of-the-art ensemble techniques have greatly simplified and enhanced the forecasting of biochar output and composition from various biomass...
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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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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublikacjaWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...
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Praca z drewnem - Przestrzeń eksperymentu w tworzeniu architektury; Crafting Wood - Space of experiment in making architecture
PublikacjaW artykule przedstawiono eksperymenty z materiałem w tworzeniu architektury prowadzące do praktycznych rozwiązań w konstrukcji budynku. Takie podejście do tematyki zastosowania materiałów w architekturze nakreśla praktyczne aspekty tworzenia przestrzeni podczas pracy np. z drewnem. Podejście przedstawiono w kontekście dziedzictwa kulturowego podczas intensywnych warsztatów dotyczących tradycji i kultury budownictwa wybranych regionów...
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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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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublikacjaLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
PublikacjaEfficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and retrofitting costs. The complexity of modeling, analysis, and post-processing of the results makes it hard to fast-track the seismic probabilities, and there is a need to optimize the computational time. This research addresses seismic probability and risk assessment of reinforced...
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Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer
PublikacjaIn this study, eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting (LightGBM) algorithms were used to model-predict the drying characteristics of banana slices with an indirect solar drier. The relationships between independent variables (temperature, moisture, product type, water flow rate, and mass of product) and dependent variables (energy consumption and size reduction) were established. For energy consumption,...