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Search results for: STRING MATCHING
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Analiza SWOT – jak określić mocne strony dla Instytucji?
EventsSzkolenie online organizowane przez Bibliotekę PG na temat wykorzystania narzędzia InCites do analizy bibliometrycznej na bazie zasobów Web of Science.
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Analiza SWOT - jak określić mocne strony dla Instytucji?
EventsBiblioteka zaprasza na szkolenia online z narzędzia InCites (zasoby Web of Science). Więcej informacji i rejestracja na stronie Biblioteki https://pg.edu.pl/biblioteka-pg/home
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Karolina Zielińska-Dąbkowska dr inż. arch.
PeopleKarolina M. Zielinska-Dabkowska, Ph.D., Eng. Arch., M. Arch., is an Assistant Professor at the Faculty of Architecture of Gdańsk University of Technology (GUT). In 2002, she completed her studies of Architecture and Urban Planning at Gdańsk University of Technology (Gdańsk Tech) and in 2004, Architectural Engineering at the University of Applied Sciences and Arts (HAWK) in Hildesheim, Germany. After graduation, she worked for several...
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Search: Workshop on Search, Sorting and Coding
Conferences -
The forecasted values of cutting power for sawing on band sawing machines for Polish Scots pine wood (Pinus sylvestris L.) in a function of its provenance.
PublicationIn this paper the predicted values of cutting power for band sawing machine (EB 1800, f. EWD), which is used in the Polish sawmills, were showed. The values of cutting power were forecasted for Scots pine (Pinus sylvestris L.) wood of five provenances from Poland. These values were determined using an innovative method of predicting the cutting power, which takes into account of elements of fracture mechanics. The resulting predictions...
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ANALYSIS OF UNCONTROLLED WEAR IN THE AREA OFA BELLEVILLE SPRING OF A FRICTION TORSIONAL VIBRATIONDAMPER IN A MOTOR VEHICLE CLUTCH
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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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Selective Laser Sintering And Melting Of Pristine Titanium And Titanium Ti6Al4V Alloy Powders And Selection Of Chemical Environment For Etching Of Such Materials
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STUDY IN MECHANICAL FAULT ELEMENT THERMOGRAPHY THROUGH THE MACHINE: The case of deep groove ball bearings of a career without screen.
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Co-etching effect to convert waste polyethylene terephthalate into hierarchical porous carbon toward excellent capacitive energy storage
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Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage
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Machine Learning Algorithm-Based Tool and Digital Framework for Substituting Daylight Simulations In Early- Stage Architectural Design Evaluation
PublicationThe aim of this paper is to examine the new method of obtaining the simulation-based results using backpropagation of errors artificial neural networks. The primary motivation to conduct the research was to determine an alternative, more efficient and less timeconsuming method which would serve to achieve the results of daylight simulations. Three daylight metrics: Daylight Factor, Daylight Autonomy and Daylight Glare Probability have...
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Modeling of small molecule's affinity to phospholipids using IAM-HPLC and QSRR approach enhanced by similarity-based machine algorithms
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Prediction of Stress and Deformation Caused by Magnetic Attraction Force in Modulation Elements in a Magnetically Geared Machine Using Subdomain Modeling
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Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear
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Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
PublicationMethods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...
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Failure analysis of a high-speed induction machine driven by a SiC-inverter and operating on a common shaft with a high-speed generator
PublicationDue to ongoing research work, a prototype test rig for testing high-speed motors/generators has been developed. Its design is quite unique as the two high- speed machines share a single shaft with no support bearings between them. A very high maximum operating speed, up to 80,000 rpm, was required. Because of the need to minimise vibration during operation at very high rotational speeds, rolling bearings were used. To eliminate...
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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
PublicationNitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...
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Toward mechanosynthesis of diamondoid structures: V. Silicon as the material of choice for preliminary implementation of intermediate generation of nano-machine systems
PublicationStosując ostatnio wprowadzony przez Drexlera ''moduł skalowany stałą sieciową'' KLM, porównano dwa potencjalne nano-materiały, krzem i diament. Szczegółowe porównanie właściwości fizycznych i chemicznych wykazuje, że krzem może być rozważany jako materiał z wyboru dla pierwotnej implementacji pośredniej generacji nano-systemów.
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Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublicationThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublicationIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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How Integration of a Brain-Machine Interface and Obstacle Detection System Can Improve Wheelchair Control via Movement Image
PublicationThis study presents a human-computer interaction combined with a brain-machine interface (BMI) and obstacle detection system for remote control of a wheeled robot through movement imagery, providing a potential solution for individuals facing challenges with conventional vehicle operation. The primary focus of this work is the classification of surface EEG signals related to mental activity when envisioning movement and deep relaxation...
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublicationControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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Is it too late now to say we’re sorry? Examining anxiety contagion and crisis communication strategies using machine learning
PublicationIn this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and predict anxiety scores in organizational crisis announcements on social media and the public’s responses to these posts. We also control for emotional and language tones in organizational...
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Scheduling of compatible jobs on parallel machines
PublicationThe dissertation discusses the problems of scheduling compatible jobs on parallel machines. Some jobs are incompatible, which is modeled as a binary relation on the set of jobs; the relation is often modeled by an incompatibility graph. We consider two models of machines. The first model, more emphasized in the thesis, is a classical model of scheduling, where each machine does one job at time. The second one is a model of p-batching...
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Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String
PublicationA new method of Hansen solubility parameters (HSPs) prediction was developed by combining the multivariate adaptive regression splines (MARSplines) methodology with a simple multivariable regression involving 1D and 2D PaDEL molecular descriptors. In order to adopt the MARSplines approach to QSPR/QSAR problems, several optimization procedures were proposed and tested. The effectiveness of the obtained models was checked via standard...
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Ewaluation of a PCR Melting Profile technique for bacterial strain differentiation
PublicationBadano przydatność techniki PCR MP w efektywnym typowaniu szczepów w badaniach epidemiologicznych zakażeń szpitalnych. Technika oparta jest na użyciu niskiej temperatury denaturacji podczas LM PCR. Badaniu zostały poddane izolaty Escherichia coli pochodzące od pacjentów Szpitala Klinicznego w Gdańsku. Wykazano, że technika jest szybka, o wysokim potencjale różnicującym i bardzo dobrej powtarzalności i może być zastosowana w badaniach...
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Tests of local strains in steel laser - welded sandwich structure
PublicationW publikacji zaprezentowano rezultaty badań odkształceń w strefie spoiny laserowej konstrukcji sandwich. Pokazano obiekt badań, metodykę i oprzyrządowanie oraz proces rejestracji. Przedstawiono uzyskane wyniki i wnioski z nich wypływające.
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THE DETERMINANTS OF ENTERPRISE PROFI TABILITY DURING REDUCED ECONOMIC ACTIVITY
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The Tourism Sector’s Development and Popularization of Sharing Economy. The Impact on Cooperation
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Caring for patients with Huntington disease – A survey of caregivers’ experiences and views
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The Comparison of the Web GIS Applications Relevant for 4D Models Sharing
PublicationThe paper presents results of the project: Cultural Heritage Through Time (CHT 2, http://cht2-project.eu) realized accomplished within the framework of the “Joint Programming Initiative in Cultural Heritage” JPI-CH (http://www.jpi-culturalheritage.eu) by an international consortium: Politecnico di Milano (IT), Newcastle University (UK), Salamanca University (ES), and Stanislaw Staszic Scientific Association SSSA (a non-profit...
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Herbal Resources in the medication of depression during pandemic COVID-19
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Cyanobacterial and Algal Strains in the Culture Collection of Baltic Algae (CCBA)
PublicationThe dataset titled Microalgal strains from “Culture Collection of Baltic Algae (CCBA)” is a representation of cyanobacterial and microalgal cultures isolated from the Baltic Sea. It is a unique catalogue of strains of the dominant and rare species found in the Baltic phytoplankton and microphytobenthos assemblages. The main purpose of the collection is to extend the knowledge on the Baltic microbial communities by providing...
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TEARING THE SPACE APART. RESPONSIBLE PARTICIPATION OR SELF-SERVING PARTICIPATION
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The Development of Anammox and Chloroflexi Bacteria during the Composting of Sewage Sludge
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From evil demiurge to caring hero: Images of geneticists in the movies
PublicationAlthough images of science and scientists depicted in popular culture have been criticized as an exaggeration and fear mongering, the cinema is an important resource that influences individuals’ beliefs about science. Because popular depictions of science play a crucial role in constructing the public’s ‘scientific imaginary’ they constitute an inherent dimension of the social understanding of science and are as important for...
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DISPLACEMENT MEASUREMENTS DURING LOAD TESTING OF THE RAILWAY ARCH BRIDGE
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Shaking table experimental study on structural pounding during earthquakes
PublicationArtykuł przedstawia wyniki badań eksperymentalnych przeprowadzonych na stole wstrząsowym dotyczące zachowania się kolidujących ze sobą modeli konstrukcji podczas trzęsień ziemi. Wyniki te pokazują, iż zderzenia mogą prowadzić do znacznego wzrostu odpowiedzi konstrukcji, ale mogą mieć również pozytywny wpływ i częściowo wytłumić drgania. Ponadto, wyniki badań wskazują na istotny wpływ rodzaju materiału, z którego wykonane są elementy...
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The effects of ischemia during rest intervals on strength endurance performance
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Abductor and adductor strength relation to sprint performance in soccer players
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Simplified, serine‐rich theta‐defensin analogues as antitumour peptides
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Neuroinflammation in Dementia—Therapeutic Directions in a COVID-19 Pandemic Setting
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Continuation of the ESH-CHL-SHOT trial after publication of the SPRINT
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Risk Scoring Models for Trade Credit in Small and Medium Enterprises
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Sympathetic neural responses to coronary occlusion during balloon angioplasty
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Selected developments within ship safety equipment for saving lives
PublicationW artykule przedstawiono aktualny rozwój nowych metod i urządzeń do bezpiecznej ewakuacji ludzi ze statków, zwłaszcza z dużych pasażerskich, zabierających na pokład łącznie do 5 tysięcy osób.
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Analysis of magnetic field inside of vessel during degaussing process
PublicationPole magnetyczne wewnątrz okrętu podczas procesu demagnetyzacji może być niebezpieczne dla urządzeń elektronicznych. Demagnetyzacja okrętu jest przeprowadzana w celu minimalizacji namagnesowania stałego. W pracy przedstawiono wyniki analizy pola magnetycznego wewnątrz okrętu podczas procesu demagnetyzacji. Analizę numeryczną przeprowadzono w pakiecie OPERA 3D.
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Methods of Springs Failures Diagnostics in Ore Processing Vibrating Screens
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Different Modes of Hydrogen Peroxide Action During Seed Germination
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