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Creating a radiological database for automatic liver segmentation using artificial intelligence.
PublikacjaImaging in medicine is an irreplaceable stage in the diagnosis and treatment of cancer. The subsequent therapeutic effect depends on the quality of the imaging tests performed. In recent years we have been observing the evolution of 2D to 3D imaging for many medical fields, including oncological surgery. The aim of the study is to present a method of selection of radiological imaging tests for learning neural networks.
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Activation of endogenous regenerative potential in mammals using epigenetic inhibitor zebularine
PublikacjaIn this work, a nucleoside inhibitor of DNA methyltransferases, zebularine, was investigated as a wound healing and regeneration promoting agent. It was found that a high dose of intraperitoneally delivered zebularine improved punch wound closure in the ear pinna in mice. Both cytidine, a zebularine analogue, and uridine, a zebularine metabolite, did not promote ear pinna hole closure. The effect of zebularine on ear pinna healing...
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Optimization of Train Energy Cooperation Using Scheduled Service Time Reserve
PublikacjaThe main aim of the paper was to develop an innovative approach to the preliminary estimation possibility of train energy cooperation based on data from timetables, without traction calculations. The article points out the need to strive for sustainable and environmentally friendly transport. It was pointed out that rail transport using electric traction is one of the more ecological branches of transport. It also offers a number...
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Prevention of resonance oscillations in gear mechanisms using non-circular gears
PublikacjaOne of the main disadvantages of gear mechanisms is the occurrence of noise and vibrations. This study investigated the applicability of non-circular gears for preventing resonance oscillations in gear mechanisms. The influence of a small deviation of the gear centrodes from the nominal circles on kinematic and oscillatory characteristics was analysed. It was shown that a larger deviation results in a smaller resonance amplitude...
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ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization
PublikacjaRenal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...
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Emotion Recognition from Physiological Channels Using Graph Neural Network
PublikacjaIn recent years, a number of new research papers have emerged on the application of neural networks in affective computing. One of the newest trends observed is the utilization of graph neural networks (GNNs) to recognize emotions. The study presented in the paper follows this trend. Within the work, GraphSleepNet (a GNN for classifying the stages of sleep) was adjusted for emotion recognition and validated for this purpose. The...
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Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA
PublikacjaVisual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing...
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Robustified estimators of radar elevation angle using a specular multipath model
PublikacjaWe consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are subject to unknown deterministic perturbations with bounded norms. The analysis, performed using convex optimization methods, allows...
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Transdermal transport of collagen and hyaluronic acid using water in oil microemulsion
PublikacjaCollagen and hyaluronic acid (HA) are biopolymers that affect the appearance and condition of the skin. Delivery of these compounds into the skin is highly challenging since have a number of disadvantageous properties, such as high molecular weight and hydrophilicity. Here, we evaluated the transdermal penetration of low and high molecular weight collagen and HA from microemulsions. A number of microemulsion formulations, differing...
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Design and Experiments of a Piezoelectric Motor Using Three Rotating Mode Actuators
PublikacjaThis paper represents a numerical and experimental investigation of the multicell piezoelectric motor. The proposed design consists of three individual cells that are integrated into the stator, double rotor, and a preload system combined into a symmetrical structure of the motor. Each of the cells is characterized by a traveling wave and rotating mode motor. A finite element numerical analysis is carried out to obtain optimal...
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Evaluation of Facial Pulse Signals Using Deep Neural Net Models
PublikacjaThe reliable measurement of the pulse rate using remote photoplethysmography (PPG) is very important for many medical applications. In this paper we present how deep neural networks (DNNs) models can be used in the problem of PPG signal classification and pulse rate estimation. In particular, we show that the DNN-based classification results correspond to parameters describing the PPG signals (e.g. peak energy in the frequency...
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Evaluation of a company’s image on social media using the Net Sentiment Rate
PublikacjaVast amounts of new types of data are constantly being created as a result of dynamic digitization in all areas of our lives. One of the most important and valuable categories for business is data from social networks such as Facebook. Feedback resulting from the sharing of thoughts and emotions, expressed in comments on various products and services, is becoming the key factor on which modern business is based. This feedback is...
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Using Eye-tracking to get information on the skills acquisition by the radiology residents
PublikacjaThis paper describes the possibility of monitoring the progress of knowledge and skills acquisition by the students of radiology. It is achieved by an analysis of a visual attention distribution patterns during image-based tasks solving. The concept is to use the eye-tracking data to recognize the way how the radiographic images are read by recognized experts, radiography residents involved in the training program, and untrained...
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Using Evidence-based Arguments to Support Dependability Assurance-Experiences and Challenges
PublikacjaThe article introduces to the problem of evidence-based arguments and their applications. Then, based on the experiences collected during commercial deployment of a concrete solution to this problem (system NOR-STA) we overview selected challenges and the ways of addressing them
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Efficient uncertainty quantification using sequential sampling-based neural networks
PublikacjaUncertainty quantification (UQ) of an engineered system involves the identification of uncertainties, modeling of the uncertainties, and the forward propagation of the uncertainties through a system analysis model. In this work, a novel surrogate-based forward propagation algorithm for UQ is proposed. The proposed algorithm is a new and unique extension of the recent efficient global optimization using neural network (NN)-based...
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Constrained aerodynamic shape optimization using neural networks and sequential sampling
PublikacjaAerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...
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Spatial Visualization Based on Geodata Fusion Using an Autonomous Unmanned Vessel
PublikacjaThe visualization of riverbeds and surface facilities on the banks is crucial for systems that analyze conditions, safety, and changes in this environment. Hence, in this paper, we propose collecting, and processing data from a variety of sensors—sonar, LiDAR, multibeam echosounder (MBES), and camera—to create a visualization for further analysis. For this purpose, we took measurements from sensors installed on an autonomous, unmanned...
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Information Extraction from Polish Radiology Reports using Language Models
PublikacjaRadiology reports are vital elements of directing patient care. They are usually delivered in free text form, which makes them prone to errors, such as omission in reporting radiological findings and using difficult-to-comprehend mental shortcuts. Although structured reporting is the recommended method, its adoption continues to be limited. Radiologists find structured reports too limiting and burdensome. In this paper, we propose...
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Using Continuous Integration Techniques in Open Source Projects – An Exploratory Study
PublikacjaFor a growing number of software projects, continuous integration (CI) techniques are becoming an essential part of the process. However, the maturity of their adoption in open source projects varies. In this paper, we present an empirical study on GitHub repositories to explore the use of continuous integration techniques in open source projects. Following the Goal-Question-Metric (GQM) approach, 3 research questions and 7 metrics...
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Optimized Deep Learning Model for Flood Detection Using Satellite Images
PublikacjaThe increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection results are inaccurate for complex phenomena and cannot handle enormous quantities of data. In order to overcome those drawbacks and enhance the outcomes of conventional flood detection...
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Wake-Up Receiver for Underwater Acoustic Communication Using in Shallow Water
PublikacjaA data frame transmitted over the underwater acoustic channel usually begins with a preamble. Therefore, underwater communication systems have a dedicated receiver that constantly listens to the preamble signals. A receiver that is to work effectively in shallow waters must have solutions that effectively reduce the impact of the permanently occurring multipath propagation. The article presents a solution based on complementary...
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Investigations of size effect in tensile fracture of concrete using a lattice model
PublikacjaArtykuł przedstawia symulacje efektu skali w betonie podczas rozciągania przy zastosowaniu nowego modelu siatkowego. Zbadano wpływ rozkładu i wielkości kruszywa oraz wpływ strefy kontaktu na efekt skali.
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Deformation measurements in granular bodies using a particle image velocimetry technique
PublikacjaW artykule przedstawiono wyniki pomiarów tensora odkształceń w materiałach granulowanych podczas przepływu silosowego i wyciągania ścianki z gruntu. Pomiary wykonano przy zastosowaniu techniki obrazu cyfrowego PIV wykorzystującego technikę korelacji.
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Meso‐scale analyses of size effect in brittle materials using DEM
PublikacjaThe paper describes numerical meso-scale results of a size effect on strength, brittleness and fracture in brittle materials like concrete. The discrete element method (DEM) was used to simulate the size effect during quasi-static splitting tension with the experimental-based meso-structure. The two-dimensional (2D) calculations were carried out on concrete cylindrical specimens with two diameters wherein two different failure...
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Investigations of micro-structure evolution in granular shear zones using DEM.
PublikacjaW artykule pokazano rozwój różnych zjawisk mikrostrukturalnych na poziomie ziarna podczas parcia piasku na sztywną ściankę przemieszczającą się poziomo. Obliczenia wykonano stosując metodę DEM. Wyniki na poziomie globalnym porównano z wynikami doświadczalnymi i wynikami MES. Szczególna uwagę zwrócono na rozwój wirów w strefach ścinania.
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Modeling of capillary fluid flow in concrete using a DEM-CFD approach
PublikacjaSformułowano połączone podejście do modelowania dwufazowego przepływu wody napędzanego hydraulicznie i kapilarnie w nienasyconym betonie. Proces przepływu analizowano numerycznie w mezoskali w warunkach dwuwymiarowych (2D), łącząc metodę elementów dyskretnych (DEM) z obliczeniową dynamiką płynów (CFD) w warunkach izotermicznych. Przeprowadzono w pełni sprzężone hydromechaniczne testy symulacyjne na małych próbkach betonu o uproszczonej...
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Selected design and construction aspects of supercritical steam generators for high temperature reactors = Wybrane aspekty konstrukcyjne i projektowe generatorów pary nadkrytycznej ogrzewanych z reaktorów wysokotemperaturowych
PublikacjaW artykule zaprezentowano uwarunkowania projektowe i konstrukcyjne nadkrytycznego generatora pary (jednoprzepływowego) wykorzystującego do ogrzewania hel z reaktorów HTR i VHTR. Wymiennik helikoidalny jest preferowany dla zwiększenia wymiany ciepła i zwartości. Badano własności czynników wymieniających ciepło z parą w obszarach przy- i nadkrytycznych. Analizowano korelacje, aby wybrać najbardziej wiarygodne. Przedyskutowano najbardziej...
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Data from the survey on motivation to study abroad and criteria for choosing a place to study for foreign graduates of Gdańsk University of Technology
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology foreign graduates’ on motivation to study abroad and criteria for choosing a place to study. The research was conducted over a four-month period, from December 2019 to March 2020, using the Computer-Assisted Web Interview (CAWI). The research sample included 142 respondents....
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The most important elements of the social package that guide students of Wrocław University of Science and Technology when choosing their first job
Dane BadawczeThis dataset contains the results of research that were carried out by the Wrocław University of Science and Technology in March and April 2016, using an anonymous "on-line" questionnaire. 1,320 people took part in the study entitled "My ideal employer" - students and doctoral students of all faculties of the university (including those fields of study...
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Joanna Szłapczyńska dr hab. inż.
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Relacje między przeszłością a teraźniejszością we współczesnych muzeach na przykładach New Acropolis Museum w Atenach i Neues Museum w Berlinie = Relations between past and present in contemporary museums illustrated by the New Acropolis Museum in Athens and the Neues Museum in Berlin
PublikacjaStreszczenie: Opracowanie dotyczy relacji pomiędzy dziedzictwem historycznym a nowoczesnością we współczesnych muzeach. Przytoczone przykłady to obiekty nowe, które powstały w unikalnym historycznym otoczeniu oraz odrestaurowane, o ważnym znaczeniu kulturowym. Współczesne możliwości techniczne, szczególnie nowoczesne technologie szkła oraz wykorzystanie technik cyfrowych w projektowaniu, pozwalają łączyć elementy i rozwiązania...
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Analyzing Preconditions to Introduce Internet Voting in Portugal: Insights from the Estonian Model
PublikacjaInternet voting has been trialed or introduced for several countries, including Norway, Portugal, United States, United Kingdom and Switzerland as an additional voting channel to increase voter turnout and, also to modernize the electoral process. However, only Estonia has successful introduced internet voting, deploying e-enabled elections in general governmental levels. This paper aims to provide an exploratory study on the Estonian...
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Various cases of preservation and adaptive reuse Heritage Buildings in the Port of Gdynia
PublikacjaThe port of Gdynia contains a diverse range of heritage assets, starting with its spatial layout which is an urban concept designed in the first half of the 1920s. It is important to point out, this historically-shaped harbor space is preserved in its general idea and still functioning in port activities. Another significant element is the structural, technological solution which was the basis for constructing the entire port area...
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Arsenic Causing Gallbladder Cancer Disease near the Himalayan bound Rivers in Bihar: A Case study of Gallbladder Cancer
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Application of g-C3N4/ZnO nanocomposites for fabrication of anti-fouling polymer membranes with dye and protein rejection superiority
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Polyethersulfone ultrafiltration membranes modified with hybrid Ag/titanate nanotubes: physicochemical characteristics, antimicrobial properties and fouling resistance
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The motion influence on respiration rate estimation from low-resolution thermal sequences during attention focusing tasks
PublikacjaGlobal aging has led to a growing expectancy for creating home-based platforms for indoor monitoring of elderly people. A motivation is to provide a non-intrusive technique, which does not require special activities of a patient but allows for remote monitoring of elderly people while assisting them with their daily activities. The goal of our study was to evaluate motion performed by a person focused on a specific task and check...
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Application of g-C3N4/ZnO nanocomposites for fabrication of anti-fouling polymer membranes with dye and protein rejection superiority
PublikacjaPolysulfone (PSf) membranes are privileged for water and wastewater treatment, but because of their hydrophobic nature, they suffer from fouling, which lowers their performance and lifetime. In this work, g-C3N4 and g-C3N4/ZnO nanomaterials were synthesized via a hydrothermal method to modify the PSf membrane for effective dye separation and reduction of organic fouling. Since g-C3N4/ZnO possesses –OH and –NH reactive groups, g-C3N4/ZnO/PSf...
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Michał Sobaszek dr inż.
OsobyMichał Sobaszek was born in Gdansk in 1984. In the summer of 2009, he received a Master degree in Materials Engineering at Gdansk University of Technology. Currently, he is an Assistant Professor at the Faculty of Electronics at the Gdańsk University of Technology. In 2018 he was honoured with the scholarship for the outstanding young researches by the Minister of Science and Higher Education of Poland. For more than 7 years, he...
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Measurements of electrically small antenna radiation patterns in non-anechoic environments using TGM
Dane BadawczeThe dataset contains raw and processed measurements of radiation pattern characteristics performed in non-anechoic regime for four antenna structures: a spline-parameterized Vivaldi structure, a compact spline-based monopole, super-ultrawideband antenna, and a quasi-Yagi component. The responses have been obtained at the selected frequencies of interest...
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Testing impedance analyzer with potentiostat using RC model with Si diode at 200 mV
Dane BadawczeThe dataset presents impedance spectrum non-linear RC model with diode presented in the figure below. This model was used as a test engine of the impedance analyzer with potentiostat described in the referenced paper. When changing the DC polarisation of the model the non-linear phenomena could be observed. Thanks to this, the model can be used as a...
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Testing impedance analyzer with potentiostat using RC model with Si diode at 0 V
Dane BadawczeThe dataset presents impedance spectrum non-linear RC model with diode presented in the figure below. This model was used as a test engine of the impedance analyzer with potentiostat described in the referenced paper. When changing the DC polarisation of the model the non-linear phenomena could be observed. Thanks to this, the model can be used as a...
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Testing impedance analyzer with potentiostat using RC model with Si diode at 600 mV
Dane BadawczeThe dataset presents impedance spectrum non-linear RC model with diode presented in the figure below. This model was used as a test engine of the impedance analyzer with potentiostat described in the referenced paper. When changing the DC polarisation of the model the non-linear phenomena could be observed. Thanks to this, the model can be used as a...
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Testing impedance analyzer with potentiostat using RC model with Si diode at 400 mV
Dane BadawczeThe dataset presents impedance spectrum non-linear RC model with diode presented in the figure below. This model was used as a test engine of the impedance analyzer with potentiostat described in the referenced paper. When changing the DC polarisation of the model the non-linear phenomena could be observed. Thanks to this, the model can be used as a...
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The XRD diffraction patterns of annealed Ce0.9M0.1O2 powders prepared using the reverse microemulsion method
Dane BadawczeThe dataset includes XRD patterns of Ce0.9M0.1O2 (where M=Mn, Fe, Co, Ni, Cu) nanopowders prepared using the reverse microemulsion method. The powders were precipitated from organic-based solution of nitrates using TMAOH. The sediment was cetrifuged and rinsed with alcohol several times. Powders were dried and calcinated at 500 degrees for 2 h, followed...
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Signals of the NB-IoT network generated by using the radiocommunication tester R&S CMW500
Dane BadawczeThe published dataset contains signals of the NB-IoT networks generated in the controlled conditions by using the Rohde&Schwarz CMW500 radiocommunication tester and recorded by USRP-X310 device. A test signals of the NB-IoT networks operating in the in-band, standalone and guard-band modes were captured.
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The XRD diffraction patterns of Ce0.8La0.2O2/Ni prepared using soft template method and impregnation
Dane BadawczeThe dataset includes XRD patterns of Ce0.8La0.2O2-s nanopowders (nanoparticles,nanocatalyst) prepared using soft template method and further impregnated with 10wt.%Ni using aqueous nitrate solution.
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Number of customers using only mobile devices (so-called "mobile only") - 2017
Dane BadawczeThe number of users who only use mobile devices is also growing (excluding access via desktop computers and people who manage to order current transactions in traditional bank branches). At the end of the fourth quarter 2017, there were 2.2 million such people - an increase by 434 thousand. compared to previous year.
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XRD and electrochemical results for MoO3 films deposited using pulsed laser deposition system
Dane BadawczeThe attached data contains XRD and electrochemical results for MoO3 films deposited on fluorine-doped tin oxide glasses. Films were deposited using a pulsed laser deposition system at different conditions. Part of the samples was deposited at room temperature and then annealed at 575°C for given times (samples labeled PLD_RT_575C_xmin, where x stands...
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The XRD diffraction patterns of Ce0.9Gd0.1O2 prepared using soft template precipitation method - 50xCMC
Dane BadawczeThe dataset includes XRD patterns of Ce0.9Gd0.1O2-s nanopowder (nanoparticles) prepared using soft template precipitation method. CTAB was used as a micelle-based templating agent. The powders were precipitated from aqueous nitrate solution using NaOH solution and 50xCMC (critcal micelle concentration) of CTAB. Precipitates were heated up to 90oC,...