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Agent-Based Population Learning Algorithm for RBF Network Tuning
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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An A-Team approach to learning classifiers from distributed data sources
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Behaviour of asymmetric structures with base isolation made of Polymeric Bearings
PublikacjaEarthquake-induced ground motions are the most severe and unpredictable threats to the structures all around the world. Seismic excitations cause a lot of damage in a wide variety of ways, leaving thousands of casualties in their wake. During the last few years alone, the world has witnessed many major earthquakes, five of which have caused far-reaching consequences of a national scale for Haiti (January 2010), Chile (February...
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Processes of enhancing the intelligence of Learning Organizations on the basis of Competence Centers
PublikacjaThe process of organizational learning and proper knowledge management became today one of the major challenges for the organization acting in the knowledge-based economy. According to the observations of the authors of this paper the demand for formalization of knowledge management processes and organizational learning is particularly evident in research institutions, established either by the universities, or the companies. The...
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Applying Web 2.0 Concepts to Creating Energy Planning Portal
PublikacjaCommunity authorities in Europe are tasked to create Advanced Local Energy Plans (ALEP), which encompasses collecting local data on current energy use and generation, as well as generating future development scenarios. Both the data and the development scenarios must be publicly accessible as a basis for energy-related decisions taken by residents, local companies and other local institutions. The data must partially be collected...
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Tuning of photocatalytic activity by creating a tridentate coordination sphere for palladium
PublikacjaThe synthesis and characterisation of an asymmetric potential bridging ligand bmptpphz (bmptpphz = 2,17-bis(4-methoxyphenyl)tetrapyrido[3,2-a:2’,3’-c:3’’,2’’-h:2’’’,3’’’-j] phenazine) is presented. This ligand contains a 1,10-phenanthroline (phen) and a 2,9-disubstituted phen sphere and possesses a strong absorbance in the visible. Facile coordination of the phen sphere to a Ru(tbbpy)2 core leads to Ru(bmptpphz) ([(tbbpy)2Ru(bmptpphz)](PF6)2;...
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Data Model Development for Security Information Sharing in Smart Grids
PublikacjaThe smart grid raises new security concerns which require novel solutions. It is commonly agreed that to protect the grid, the effective collaboration and information sharing between the relevant stakeholders is prerequisite. Developing a security information sharing platform for the smart grid is a new research direction which poses several challenges related to the highly distributed and heterogeneous character of the grid. In...
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Deep learning-based waste detection in natural and urban environments
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The assessment of students’ knowledge regarding melanoma and sun-protection habits
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Collaborative Delivery by Energy-Sharing Low-Power Mobile Robots
PublikacjaWe study two variants of delivery problems for mobile robots sharing energy. Each mobile robot can store at any given moment at most two units of energy, and whenever two robots are at the same location, they can transfer energy between each other, respecting the maximum capacity. The robots operate in a simple graph and initially each robot has two units of energy. A single edge traversal by an robot reduces its energy by one...
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Machine Learning in Multi-Agent Systems using Associative Arrays
PublikacjaIn this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...
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Data augmentation for improving deep learning in image classification problem
PublikacjaThese days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...
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Security of export transactions in the offer of leading banks on the Polish market
PublikacjaThe following article presents the so-called conditioned payment methods, i.e. instruments for securing export transactions, such as letter of credit, documentary collection, bank guarantees, factoring and forfaiting. The characteristics of each particular method are presented as well as the transactions using them are described. In the following paper, the author included also the leading Polish banks, which offer the above- mentioned...
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Art and Healthcare - Healing Potential of Artistic Interventions in Medical Settings
PublikacjaThe stereotype of a machine for healing seems to be well rooted in common thinking and social perception of hospital buildings. The technological aspect of healthcare architecture has been influenced for several years by three major factors. The first is linked to the necessity of providing safety and security in the environment of elevated epidemiological risk. The second concerns the need for incorporating advanced technology...
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Improving performance of large thrust bearings through modeling and experimentation
PublikacjaLarge thrust bearings are highly loaded machine elements and their failures cause serious losses. Start ups and stoppages of the bearing under load are specially critical regimes of operation. Load carrying capacity depends on the profile of the oil gap. In transient states this profile is also changing. In the design of large thrust bearings minimizing thermo-elastic deformations is an important goal, which can be accomplished...
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Creating Hotel Services from a Perspective of Extraordinary Customer Experience
PublikacjaThis conceptual article aims to explore the process of providing hotel services in the context of requirements arising from the experience economy. Both the concept of experience marketing and the concept of customer experience management provided a theoretical framework for the discussion. Based on a review of literature and conclusions derived from hotel managers’ experiences, a research model is proposed, which may be of some...
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Experimental investigation into surface texture effect on journal bearings performance
PublikacjaThe aim of this study was to analyse the performance of journal bearings with specially created dimples on the sliding surface and operating under various conditions. The texture was created on the bearing surface that co-acted with the smooth journal; moreover, the variation of the textured surface of the journal mating with the smooth bearing was tested, and the results were compared to those obtained with the standard smooth...
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Selected Problems of Experimental Testing Marine Stern Tube Bearings
PublikacjaThis paper presents typical methods for conducting experimental tests on main shaft slide bearings. There are described their possible testing capabilities, advantages, drawbacks and limitations. Various testing methods were analyzed to find a solution able of providing a wide range of possible investigations at possibly acceptable limitations.
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Marinating and Salting of Herring, Nitrogen Compounds’ Changes in Flesh and Brine
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Thermally stimulated carrier transport due to stepwise sample heating.
PublikacjaPodano przybliżone rozwiązania równań nieizotermicznego transportu nośników w izolującym ciele stałym ze stanami pułapkowymi, dla przypadku krokowego ogrzewania próbki. Otrzymane wyniki zweryfikowano za pomocą symulacji Monte Carlo dla gaussowskiego rozkładu pułapek.
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Food microstructure systems modelling regarding interaction and contact phenomena.
PublikacjaPrzedstawiono wybrane fragmenty teorii modelowania w strukturach rozproszonych mikrostruktury żywności, w których zostały uwzględnione wzajemne oddziaływania cząstek oraz występujące zjawiska kontaktowe. Do oszacowania tych oddziaływań wykorzystano zmodyfikowany przez autora model Buczkowskiego i Kleibera.
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Didaktische simulationsmodelle fur E-learning in der IK-ausbildung.
PublikacjaPrzedstawiono dydaktyczne modele symulacyjne wykorzystywane w zdalnym kształceniu z zakresu informatyki i technik komunikacyjnych. Pokazano na przykładach zbudowanych symulatorów, w jaki sposób zrealizować lub dostosować modele symulacyjne do zdalnego nauczania. Opisano doświadczenia autorów w wykorzystaniu modeli symulacyjnych w zdalnym nauczaniu.
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Performance peculiarities of PTFE-faced tilting-pad thrust bearings.
PublikacjaZastosowanie pokrycia powierzchni ślizgowej z PTFE pozwala na znaczącą poprawę właściwości łożysk wzdłużnych w trudnych warunkach pracy. Znanych jest wiele zastosowań takich łożysk głównie w turbinach wodnych w dawnym ZSRR i Chinach. Praca ta stanowi krótki przegląd specyficznych cech takich łożysk związanych między innymi ze specyfiką kompozytów na bazie PTFE. Omówiono wpływ podatności powierzchni ślizgowej na kształt powierzchni...
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Central heating temperature control algorithm for systems with condensing boilers
PublikacjaThe problem of control of a central heating system in a small residence is considered. It is assumed that the system is based on a condensing boiler. Since the boiler efficiency depends on a returning water temperature, the proposed control goal is to provide proper air temperature in the residence as well as the lowest possible water temperature. The proposed algorithm is applied to two buildings. Both of them have the same heating...
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Virtual Engineering Factory: Creating Experience Base for Industry 4.0
PublikacjaABSTRACT In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communica- tion of engineering objects. Consequently, Decisional DNA- based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering...
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Behaviour of Asymmetric Structure with Base Isolation Made of Polymeric Bearings
PublikacjaEarthquake-induced ground motions are the most severe and unpredictable threats to the structures all around the world. Seismic excitations cause a lot of damage in a wide variety of ways, leaving thousands of casualties in their wake. Due to randomness of earthquake occurrence, lack of visible causes and their power of destructiveness, structural engineers need to develop new technical solutions and protection systems against...
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The Impact of Generative AI and ChatGPT on Creating Digital Advertising Campaigns
PublikacjaThe use of AI-based solutions is currently discussed in relation to various industries. The proliferation of tools based on generative artificial intelligence (GAI), including the emergence of ChatGPT, has resulted in testing as a first step and implementations in further areas of business life, including marketing, as a second step. Still only a few studies have analysed and evaluated specific solutions for different areas of...
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CHEMOTHERAPY-MEDIATED COMPLICATIONS OF WOUND HEALING. AN UNDERSTUDIED SIDE EFFECT
PublikacjaSignificance: Chemotherapy is a primary method to treat cancer, but while cytotoxic drugs are designed to target rapidly dividing cancer cells, they can also affect other cell types, including dermal cells and macrophages involved in wound healing, which often leads to the development of chronic wounds. The situation becomes even more severe when chemotherapy is combined with surgical tumor excision. Recent advances: Despite its...
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Divide and not forget: Ensemble of selectively trained experts in Continual Learning
PublikacjaClass-incremental learning is becoming more popular as it helps models widen their applicability while not forgetting what they already know. A trend in this area is to use a mixture-of-expert technique, where different models work together to solve the task. However, the experts are usually trained all at once using whole task data, which makes them all prone to forgetting and increasing computational burden. To address this limitation,...
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NEW PRODUCT DEVELOPMENT FROM THE PERSPECTIVE OF CREATING A COMPETITIVE ADVANTAGE
PublikacjaIt is acknowledged that achieving product-based competitive advantage is a key task for a company. However, there is still a research gap in determining those specific actions in the process of developing new products that arise from companies' efforts to achieve product-based competitive advantage. Therefore, the aim of this study is to determine the specific actions in the new product development (NPD) process that result from...
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Breast MRI segmentation by deep learning: key gaps and challenges
PublikacjaBreast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...
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Hyaluronic acid/tannic acid films for wound healing application
PublikacjaIn this study, thin films based on hyaluronic acid (HA) with tannic acid (TA) were investigated in three different weight ratios (80HA/20TA, 50HA/50TA, 20HA/80TA) for their application as materials for wound healing. Surface free energy, as well as their roughness, mechanical properties, water vapor permeability rate, and antioxidant activity were determined. Moreover, their compatibility with blood and osteoblast cells was investigated....
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Application of 3D- printed hydrogels in wound healing and regenerative medicine
PublikacjaHydrogels are three-dimensional polymer networks with hydrophilic properties. The modifiable properties of hydrogels and the structure resembling living tissue allow their versatile application. Therefore, increasing attention is focused on the use of hydrogels as bioinks for three-dimensional (3D) printing in tissue engineering. Bioprinting involves the fabrication of complex structures from several types of materials, cells,...
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Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech
PublikacjaWe present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...
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Discovering Rule-Based Learning Systems for the Purpose of Music Analysis
PublikacjaMusic analysis and processing aims at understanding information retrieved from music (Music Information Retrieval). For the purpose of music data mining, machine learning (ML) methods or statistical approach are employed. Their primary task is recognition of musical instrument sounds, music genre or emotion contained in music, identification of audio, assessment of audio content, etc. In terms of computational approach, music databases...
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Sealing tax collection in Poland and the EU in the years 2008–2018
PublikacjaThe purpose of this study is to present issues related to sealing tax collection system in Poland and European Union countries as well as OECD members in 2008–2018. The article is divided into four parts, which include: introduction, origin of the problem, implemented solutions and conclusions. It presents the results of the conducted analysis including studies of the literature and empirical data (mainly from OECD, GUS—Polish...
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Jeffreys heat conduction in coupled semispaces subjected to interfacial heating
PublikacjaA Jeffreys heat conduction problem for coupled semispaces subjected to the action of an interfacial heat source was defined. An analytical solution of the problem was derived for a polynomial specific power of the heat source using the Laplace transform approach. The asymptotic and parametric analysis was performed for different ratios of thermal conductivities , thermal diffusivities , thermal relaxation times and coefficients...
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RESEARCH ON HYDRODYNAMIC PEEK JOURNAL BEARINGS LUBRICATED WITH WATER AND OIL
PublikacjaThe main purpose of the research was to determine the possibilities and experimentally test the benefits of replacing conventional oil lubrication with ecological water lubrication. Tests were carried out on a test rig for hydrodynamic radial bearings under conditions representative of the expected applications for the bearing in water turbines. Bearings made from the polymer material PEEK (polyether ether ketone) were tested under static...
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublikacjaLiquid 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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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublikacjaPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile strengths...
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Deterministic and statistical size effect during shearing of granular layer
PublikacjaArtykuł omawia deterministyczny i statystyczny efekt skali w materiałach granulowanych podczas ścinania cienkiej warstwy piasku między dwoma bardzo szorstkimi ścianami. Obliczenia wykonano metodą elementów skończonych na bazie mikropolarnego prawa hipoplastycznego. Pokazano wyniki efektu skali przy zastosowaniu różnych metod redukujących ilość realizacji pól losowych dla początkowego wskaźnika porowatości..
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Effect of cyclic shearing on the evolution of localisation of deformationsin granular bodies.
PublikacjaOmówiono wpływ cyklicznego ścinania na lokalizację odkształceń stycznych w materiałach granulowanych. Obliczenia wykonano metodą elementów skończonych na bazie mikropolarnego prawa hipoplastycznego dla wąskiej warstwy piasku. Obliczenia wykonano dla różnych amplitud ścinania i różnych początkowych zagęszczeń piasku.
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FE-simulations of direct and simple shearing within a polar hypoplasticity
PublikacjaW artykule przedstawiono wyniki analizy MES dwóch podstawowych testów w mechanice gruntów, mianowicie testu bezpośredniego ścinania i testu prostego ścinania. Obliczenia wykonano stosując metodę elementów skończonych i mikropolarne hipoplastyczne prawo konstytutywne. Szczególną uwagę zwrócono na wpływ warunków brzegowych na lokalizacje odkształceń.
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FE-analysis of shearing of granular bodies in a direct shear box
PublikacjaW artykule przedstawiono wyniki numerycznej obszernej analizy testu bezpośredniego ścinania. w materiałach granulowanych. Obliczenia wykonano stosując metodę elementów skończonych i mikropolarne hipoplastyczne prawo konstytutywne. Analizę wykonano dla różnego poziomu obciażenia, długości charakterystycznej, wskaźnika porowatości, długości próbki W analizie uwzględniono lokalizacje odkształceń stycznych.
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Determination of bromhexine and its metabolites in equine serum samples by liquid chromatography – Tandem mass spectrometry: Applicability to the elimination study after single oral dose
PublikacjaBromhexine (BH), expectorant used in the treatment of respiratory disorders associated with viscid or excessive mucus, is not permitted for use in the competing horse by many authorities in horseracing and Olympic disciplines. Metabolic studies are of the great importance in anti-doping field because they allow for updating the selection of the most appropriate markers for prohibited substances, such as metabolites present at higher...
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Rapid and Green Separation of Mono- and Diesters of Monochloropropanediols by Ultrahigh Performance Supercritical Fluid Chromatography–Mass Spectrometry Using Neat Carbon Dioxide as a Mobile Phase
PublikacjaThis study demonstrates the effect of column selectivity and density of supercritical carbon dioxide (SC-CO2) on the separation of monochloropropanediol (MCPD) esters, known as food toxicants, using SC-CO2 without addition of cosolvent in ultrahigh performance supercritical fluid chromatography–mass spectrometry (UHPSFC-MS). This study shows that over 20 2-monochloropropanediol (2-MCPD) and 3-monochloropropanediol (3-MCPD) mono-...
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High-Throughput Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry as an Alternative Approach to Monitoring Drug Resistance of Hepatitis B Virus
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A new silylating reagent – dimethyl(3,3,3-trifluoropropyl)silyldiethylamine – for the derivatisation of non-steroidal anti-inflammatory drugs prior to gas chromatography–mass spectrometry analysis
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A MULTI-MASS DISCRETE MODEL OF TRIBOMETER FOR THE RESEARCH ON DYNAMIC FRICTION CHARACTERISTICS = Wielomasowy dyskretny model tribometru do symulacyjnych badań dynamicznych charakterystyk tarcia
PublikacjaW artykule przedstawiono metodykę opracowaną w celu redukcji modelu fizycznego tribometru z ciągłym rozkładem masy (bezwładności), sztywności podparcia oraz tłumienia do modelu dyskretnego. W modelu dyskretnym zastosowano zastępcze masy skupione i elementy sprężysto - tłumiące, których właściwości są dobrane w taki sposób, że charakterystyka drgań własnych tego modelu odpowiada charakterystyce rzeczywistego układu fizycznego. Dzięki...