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Search results for: ISLE DATASET
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The XRD pattern of CeO2/10wt.%Fe prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Fe. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Mn prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Mn. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Co prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Co. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Ni prepared without BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Ni. The samples of nanoCeO2 were impregnated without BCD-assisted precursor solution (betacyclodextrin) - pure nitarte solution 1M. The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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Characteristics of selected Nodularia spumigena isolates from CCNP Collection
Open Research DataEN: This dataset includes information about Nodularia spumigena strains (Cyanobacteria) deposited in the Culture Collection of Northern Poland (CCNP), at the Division of Marine Biotechnology, Institute of Oceanography, University of Gdańsk, Poland. Presented data concern Nodularia spumigena strains, their (1) isolation and culture conditions, (2) taxonomic...
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Photographic documentation of St. Andrew’s Church in Osiek (Oświęcim County, Lesser Poland) at the turn of the 19th and 20th centuries
Open Research DataThis dataset presents photographic documentation of the St. Andrew’s Church settled in Osiek (Oświęcim County, Małopolskie Voivodeship – Lesser Poland), built in 1538-1549. This wooden church is a late-gothic Silesian-style building. Inside the church are the baroque main altar and the rococo pulpit, shaped like a boat from the second half of the 18th...
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Morse decompositions for a two-patch vaccination model
Open Research DataThis dataset contains selected results of rigorous numerical computations described in Section 5 of the paper "Rich bifurcation structure in a two-patch vaccination model" by D.H. Knipl, P. Pilarczyk, G. Röst, published in SIAM Journal on Applied Dynamical Systems (SIADS), Vol. 14, No. 2 (2015), pp. 980–1017, doi: 10.1137/140993934.
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Testing high impedance analyzer in the field on high-voltage line pylon cell 2 exposition 2
Open Research DataThe dataset presents impedance spectrum of anticorrosion coating on high-voltage line pylon presented in the figure below. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The dataset contains comparative measurements with Atlas-Sollich ATLAS98HI analyser....
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The instantaneous flicker sensation level measured in the industrial power system supplying the rolling mill motors
Open Research DataThe dataset presents the instantaneous flicker sensation level measured on the bus bars of the main switchgear of the industrial power network for the supply of rolling mills. The data were obtained during an experiment whose purpose was to determine a level of short-term and long-term flicker caused by voltage fluctuations. In the virtual application...
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Rynki akcji w krajach BRIC: podobieństwa i różnice
PublicationKraje BRIC (Brazylia, Rosja, Indie i Chiny) stały się w ostatnich latach ważną częścią globalnego systemu gospodarczego i finansowego. Kraje te różnią się jednak istotnie pod względem osiągniętych poziomów rozwoju gospodarczego, w tym w sferze finansowej. Celem tekstu jest omówienie i porównanie zmian w krajach BRIC w pierwszych kilkunastu latach XXI w., które miały miejsce na jednej z najważniejszych części systemu finansowego,...
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Konkurs o Pomorską Nagrodę Jakości w czasach Gospodarki Opartej na Wiedzy
PublicationCelem autorki jest analiza wpływu aspektu zarządzania wiedzą u uczestników XXII edycji Konkursu o Pomorską Nagrodę Jakości na wynik oraz uzyskanie wyróżnienia. Konkurs składa się z kilku etapów, m.in. samooceny oraz weryfikacji w siedzibie uczestnika przeprowadzonej przez ekspertów Polskiego Rejestru Statków. Po udziale w konkursie organizacja biorąca w nim udział, poza aspektami marketingowymi uzyskuje informacje zwrotną w postaci...
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STARZENIE SIĘ LUDNOŚCI – PERSPEKTYWA LOKALNA
PublicationPostępujące starzenie się ludności determinuje zmiany społeczne i ekonomiczne. W literaturze przedmiotu ich charakter, przebieg i skutki najczęściej poddaje się analizie i ocenie w skali makro. Tymczasem zmiany demograficzne mają swoje istotne konsekwencje również w perspektywie lokalnych jednostek terytorialnych i stanowią wyzwanie dla działań władz lokalnych. Celem artykułu jest wskazanie szans i zagrożeń powodowanych postępującym...
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Prowadzenie działalności gospodarczej przez małe przedsiębiorstwa
PublicationGłównymi fundamentami decydującymi o rozwoju przedsiębiorczości są regulacje prawne oraz instytucje odpowiedzialne za ich respektowanie i egzekwowanie. O ile, przeważnie duże i średnie przedsiębiorstwa dobrze radzą sobie nawet w skomplikowanym otoczeniu prawnym, o tyle mikro i mali przedsiębiorcy mają z tym wiele problemów.Zmienność, niejasność i interpretowalność prawa związanego z zakładaniem, prowadzeniem i zarazem opodatkowaniem...
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Zabezpieczanie małych transformatorów SN/nn - ocena skuteczności stosowanych środków.
PublicationW dyskusji o celowości zabezpieczania małych transformatorów SN/nn, co jakiś czas następuje zmiana poglądów: raz uznaje się, że zabezpieczenia są zbyteczne, raz - że są niezbędne. Wynika to ze zmian priorytetów, warunków ekonomicznych oraz możliwości technicznych. W publikacji porównuje się skutki różnych koncepcji zabezpieczania transformatora SN/nn od strony wn: przy pomocy bezpieczników gazowydmuchowych, piaskowych, jak i wyłącznikiem...
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Ionophores in polymeric membranes for selective ion recognition:impedance studies
PublicationW pracy badano dwa typy elektrod: membranowe elektrody jonoselektywne (ISE) oraz elektrody nowego typu all-solid-state (AAS). Elektrody AAS zawierają przewodzącą warstwę polimerową na węglu szklistym lub platynie, na który nałożona jest membrana zawierająca jonofor. Do badań użyto dwa jonofory: p-tert-butylokaliks[4]aren-korona-4 (L1) selektywnie kompleksująca jony Na+ oraz kaliks[4]aren-korona-6 (L2) selektywnie kompleksująca...
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MIC/MBC values of the investigated extracts of propolis. Interactions of selected extracts with azoles and echinocandins.
Open Research DataThis dataset contains results of our investigation aiming in determination of antimicrobial potential of the propolis extracts produced in our laboratory. The propolis samples were delivered by Polish beekeepers. Moreover in this dataset we presented results of our investigation aiming in assessment of interaction of the selected extracts of propolis...
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Women's participation in employment in three main sectors of the economy (Poland, Lithuania, Latvia, Estonia)
Open Research DataThe following dataset presents the share of women's employment in selected countries (Poland, Lithuania, Latvia, Estonia) in the years 1999 - 2016, divided into services, agriculture and industry. The dataset presents what percentage of employees in a given area are women. According to published data, women constitute more than half of people employed...
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Morse decompositions for a non-linear Leslie population model with 2 varying parameters
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS),...
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Morse decompositions for a non-linear Leslie population model with 3 varying parameters
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS),...
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Unsupervised Learning for Biomechanical Data Using Self-organising Maps, an Approach for Temporomandibular Joint Analysis
PublicationWe proposed to apply a specific machine learning technique called Self-Organising Maps (SOM) to identify similarities in the performance of muscles around human temporomandibular joint (TMJ). The performance was assessed by measuring muscle activation with the use of surface electromyography (sEMG). SOM algorithm used in the study was able to find clusters of data in sEMG test results. The SOM analysis was based on processed sEMG...
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Machine Learning and Electronic Noses for Medical Diagnostics
PublicationThe need for noninvasive, easy-to-use, and inexpensive methods for point-of-care diagnostics of a variety of ailments motivates researchers to develop methods for analyzing complex biological samples, in particular human breath, that could aid in screening and early diagnosis. There are hopes that electronic noses, that is, devices based on arrays of semiselective or nonselective chemical sensors, can fill this niche. Electronic...
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Review of Shoreline Extraction Methods from Aerial Laser Scanning
PublicationAutonomous technologies are increasingly used in various areas of science. The use of unmanned vehicles for hydrographic surveys in shallow coastal areas requires accurate estimation of shoreline position. This is a nontrivial task, which can be performed using a wide range of sensors and methods. The aim of the publication is to review shoreline extraction methods based solely on data from aerial laser scanning (ALS). This narrative...
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Programmatic Simulation of Laser Scanning Products
PublicationThe technology of laser scanning is widely used for producing three-dimensional digital representations of geographic features. The measurement results are usually available in the form of 3D point clouds, which are often used as a transitional data model in various remote sensing applications. Unfortunately, while the costs of Light Detection And Ranging scanners have dropped significantly in recent years, they are still considered...
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Spectral Clustering Wikipedia Keyword-Based search Results
PublicationThe paper summarizes our research in the area of unsupervised categorization of Wikipedia articles. As a practical result of our research, we present an application of spectral clustering algorithm used for grouping Wikipedia search results. The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this...
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Entrepreneurship Vulnerability to Business Cycle. A New Methodology for Identification Pro-cyclical and Counter-cyclical Patterns of Entrepreneurial Activity
PublicationIn literature, there is ongoing discussion whether entrepreneurial activity, approximated by, for instance, changes in self-employment, tends to behave pro-cyclically, counter-cyclically or rather is a-cyclical. Thus far, both theoretical and empirical evidence, where various multiple methodological approaches are used, does not provide clear answer to the latter; while widely offered explanations are scattered and lack robustness....
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1D convolutional context-aware architectures for acoustic sensing and recognition of passing vehicle type
PublicationA network architecture that may be employed to sensing and recognition of a type of vehicle on the basis of audio recordings made in the proximity of a road is proposed in the paper. The analyzed road traffic consists of both passenger cars and heavier vehicles. Excerpts from recordings that do not contain vehicles passing sounds are also taken into account and marked as ones containing silence....
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Oxylipin profiling for clinical research: Current status and future perspectives
PublicationOxylipins are potent lipid mediators with increasing interest in clinical research. They are usually measured in systemic circulation and can provide a wealth of information regarding key biological processes such as inflammation, vascular tone, or blood coagulation. Although procedures still require harmonization to generate comparable oxylipin datasets, performing comprehensive profiling of circulating oxylipins in large studies...
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Impact of optimization of ALS point cloud on classification
PublicationAirborne laser scanning (ALS) is one of the LIDAR technologies (Light Detection and Ranging). It provides information about the terrain in form of a point cloud. During measurement is acquired: spatial data (object’s coordinates X, Y, Z) and collateral data such as intensity of reflected signal. The obtained point cloud is typically applied for generating a digital terrain model (DTM) and a digital surface model (DSM). For DTM...
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The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification
PublicationDeveloping of theoretical tools can be very helpful for supporting new pollutant detection. Nowadays, a combination of mass spectrometry and chromatographic techniques are the most basic environmental monitoring methods. In this paper, two organochlorine compound mass spectra classification systems were proposed. The classification models were developed within the framework of artificial neural networks (ANNs) and fast 1D and...
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Exploring the Solubility Limits of Edaravone in Neat Solvents and Binary Mixtures: Experimental and Machine Learning Study
PublicationThis study explores the edaravone solubility space encompassing both neat and binary dissolution media. Efforts were made to reveal the inherent concentration limits of common pure and mixed solvents. For this purpose, the published solubility data of the title drug were scrupulously inspected and cured, which made the dataset consistent and coherent. However, the lack of some important types of solvents in the collection called...
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Emissions and toxic units of solvent, monomer and additive residues released to gaseous phase from latex balloons
PublicationThis study describes the VOCs emissions from commercially available latex balloons. Nine compounds are determined to be emitted from 13 types of balloons of different colors and imprints in 30 and 60°C. The average values of total volatile organic compounds (TVOCs) emitted from studied samples ranged from 0.054 up to 7.18 μg∙g-1 and from 0.27 up to 36.13 μg∙g-1 for 30oC and 60oC, respectively. The dataset is treated with principal...
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Magnetic Signature Description of Ellipsoid-Shape Vessel Using 3D Multi-Dipole Model Fitted on Cardinal Directions
PublicationThe article presents a continuation of the research on the 3D multi-dipole model applied to the reproduction of magnetic signatures of ferromagnetic objects. The model structure has been modified to improve its flexibility - model parameters determined by optimization can now be located in the cuboid contour representing the object's hull. To stiffen the model, the training dataset was expanded to data collected from all four cardinal...
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Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics
PublicationEven in the era of automatization maritime safety constantly needs improvements. Regardless of the presence of crew members on board, both manned and autonomous ships should follow clear guidelines (no matter as bridge procedures or algorithms). To date, many safety indicators, especially in collision avoidance have been proposed. One of such parameters commonly used in day-to-day navigation but usually omitted by researchers is...
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Interrelations between Travel Patterns and Urban Spatial Structure of the Largest Russian Cities
PublicationThe study presented within this dissertation involves the analysis of the relationship between urban spatial structure and travel patterns in the largest Russian cities. It is an empirical investigation of how the spatial structure, formed during the Soviet and post-Soviet periods, affects the travel patterns in the largest cities of contemporary Russia. It aims to determine what measures, both urban structure and transportation...
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Diurnal variability of atmospheric water vapour, precipitation and cloud top temperature across the global tropics derived from satellite observations and GNSS technique
PublicationThe diurnal cycle of convection plays an important role in clouds and water vapour distribution across the global tropics. In this study, we utilize integrated moisture derived from the global navigation satellite system (GNSS), satellite precipitation estimates from TRMM and merged infrared dataset to investigate links between variability in tropospheric moisture, clouds development and precipitation at a diurnal time scale. Over...
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Quantitative Risk Assessment in Construction Disputes Based on Machine Learning Tools
PublicationA high monetary value of the construction projects is one of the reasons of frequent disputes between a general contractor (GC) and a client. A construction site is a unique, one-time, and single-product factory with many parties involved and dependent on each other. The organizational dependencies and their complexity make any fault or mistake propagate and influence the final result (delays, cost overruns). The constant will...
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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
PublicationThis 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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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublicationLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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Detecting type of hearing loss with different AI classification methods: a performance review
PublicationHearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...
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Dependent self-employed individuals: are they different from paid employees?
PublicationThis study focuses on dependent self-employment, which covers a situation where a person works for the same employer as a typical worker while on a self-employment contractual basis, i.e., without a traditional employment contract and without certain rights granted to "regular" employees. The research exploits the individual-level dataset of 35 European countries extracted from the 2017 edition of the European Labour Force Survey...
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Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
PublicationThis paper proposes a novel approach for intelligent fault diagnosis for stroke Diesel marine engines, which are commonly used in on-road and marine transportation. The safety and reliability of a ship's work rely strongly on the performance of such an engine; therefore, early detection of any type of failure that affects the engine is of crucial importance. Automatic diagnostic systems are of special importance because they can...
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Super-resolved Thermal Imagery for High-accuracy Facial Areas Detection and Analysis
PublicationIn this study, we evaluate various Convolutional Neural Networks based Super-Resolution (SR) models to improve facial areas detection in thermal images. In particular, we analyze the influence of selected spatiotemporal properties of thermal image sequences on detection accuracy. For this purpose, a thermal face database was acquired for 40 volunteers. Contrary to most of existing thermal databases of faces, we publish our dataset...
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ELECTRICAL CONDUCTIVITY AND pH IN SURFACE WATER AS TOOL FOR IDENTIFICATION OF CHEMICAL DIVERSITY
PublicationIn the present study, the creeks and lakes located at the western shore of Admiralty Bay were analysed. The impact of various sources of water supply was considered, based on the parameters of temperature, pH and specific electrolytic conductivity (SEC25). All measurements were conducted during a field campaign in January-February 2017. A multivariate dataset was also created and a biplot of SEC25 and pH of the investigated waters...
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Fusion-based Representation Learning Model for Multimode User-generated Social Network Content
PublicationAs mobile networks and APPs are developed, user-generated content (UGC), which includes multi-source heterogeneous data like user reviews, tags, scores, images, and videos, has become an essential basis for improving the quality of personalized services. Due to the multi-source heterogeneous nature of the data, big data fusion offers both promise and drawbacks. With the rise of mobile networks and applications, UGC, which includes...
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Structure of the register of immovable monuments in terms of the number of large-scale monuments by voivodeship - comparison of 2016 and 2024
Open Research DataThe following dataset compares the structure of the register of immovable monuments in Poland regarding the number of large-scale monuments by voivodeship for 2016 and 2024. The dataset has been compiled based on the data in the Report on the State of the Immovable Monuments in Poland – Monuments entered in the Register of Monuments (Register Books...
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Stanowisko monitoringu odbieraków prądu w warunkach ruchowych
PublicationKonserwacja i regulacja odbieraków prądu odbywa się podczas okresowych przeglądów technicznych lokomotyw i zespołów trakcyjnych. Stany rozregulowania lub nawet uszkodzenia odbieraków prądu, zagrażające ich poprawnej współpracy z siecią jezdną, mogą wystąpić pomiędzy przeglądami. Wskazane jest zatem częstsze kontrolowanie stanu technicznego odbieraków. Powyższy cel można osiągnąć bez zmniejszania dostępności pojazdów, poprzez kontrolę...
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The American Sign Language alphabet
Open Research DataThe American Sign Language dataset contains all static letters of the American alphabet, meaning those that do not require movement to perform (the entire alphabet except for the letters 'J' and 'Z', which are dynamic and require hand movement).
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Koncert Lipali Akustycznie
EventsZespół Tomka "Lipy" Lipnickiego zagra swoje utwory w akustycznych aranżacjach. Dla tych, którzy nie zetknęli się jeszcze z akustycznym obliczem Lipali ten koncert będzie prawdziwą muzyczną niespodzianką!
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Outdoor photographic documentation of the Dominican Church (The Shrine of Our Lady of Succor to the Faithful) in Oświęcim (Małopolskie Voivodeship)
Open Research DataThe dataset contains images of the Dominican Church (contemporary The Shrine of Our Lady of Succor to the Faithful) in Oświęcim (Małopolskie Voivodeship). The church was built in the first half of the 14th century. In the first half of the 19th century, the church was ruined and turned into a warehouse, then fell into disrepair. The dataset contains...