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Catalog Publications
Year 2024
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Impact of the type of heat exchanger on the characteristics of low-temperature thermoacoustic heat engines
PublicationThermoacoustic technologies are considered an effective solution for harnessing low-temperature heat, whether from waste or renewable sources. However, in practice, developing and implementing high-performance ther- moacoustic systems is a complex challenge. In real waste heat recovery systems, heat exchange between ther- moacoustic engines (TAEs) and external heat sources is facilitated by auxiliary systems, such as circulation...
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Impact of trajectory simplification methods on modeling carbon dioxide emissions from ships
PublicationModels of ship fuel consumption and emissions play an essential role in estimating global shipping’s greenhouse gas emissions. They are also widely used for verification of reported CO2 emissions for systems like EU MRV (Monitoring, Reporting and Verification) or IMO DCS (Data Collection System). Such models achieve high accuracy using historical spatiotemporal information about each ship from AIS data. However, this approach requires substantial...
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Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms
PublicationLymphocytes, a type of leukocytes, play a vital role in the immune system. The precise quantification, spatial arrangement and phenotypic characterization of lymphocytes within haematological or histopathological images can serve as a diagnostic indicator of a particular lesion. Artificial neural networks, employed for the detection of lymphocytes, not only can provide support to the work of histopathologists but also enable better...
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Impact of Work from Home on Agile Software Project Execution – the Empirical Study
PublicationBackground: The outbreak of a Covid-19 pandemic changed the working patterns of software projects delivery. Aim: The study examines how the work from home (WFH) impacted the software project execution for emergence of differentiating patterns. Method: The data on project execution in two country locations was examined. The population is 3711 projects across 52 months (26 pre- and 26 post-pandemic) is analyzed. The paper identifies the...
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Impacts of Using Exhaust Gas Recirculation and Various Amount of Dimethyl Ether Premixed Ratios on Combustion and Emissions on a Dual-Fuel Compression Ignition Engine
PublicationIn the presented research, the authors dealt with the specific properties of the combustion process of dimethyl ether (DME) in a combustion car (Volkswagen Golf IV) engine AJM 1.9 TDI PDE made by Volkswagen factory. Dimethyl ether is an alternative fuel produced most often from natural gas, which can be used in compression ignition engines as a single fuel or co-burned with diesel oil. This work describes the impacts of using exhaust...
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Implementation of Active Learning in BPM Education
PublicationThe challenges that BPM educators face are not only related to the evolution of the BPM concept and technological trends but also to the changing expectations and attitudes of students as well as the requirements of the labor market. Active learning promotes better memorization and understanding of even tricky issues. Active-learning methods are increasingly being implemented, and their effectiveness is being studied in numerous...
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Implementation of Fluidized Bed Concept to Improve Heat Transfer in Ecological Adsorption Cooling and Desalination Systems
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Importance of artificial intelligence to support the process of anaerobicdigestion of kitchen waste with bioplastics / Znaczenie sztucznej inteligencji we wspomaganiu procesu beztlenowej fermentacji odpadów kuchennych zawierających bioplastiki
PublicationArtificial intelligence (AI) and machine learning were used to obtain more effective methods for conducting the digestion process and achieving final products. Data acquisition was carried out by an automatic monitoring and anal. research. The knowledge describing the anaerobic digestion process was summarized in the form of rules: IF (premise) THEN (conclusion). The compiled set of rules created a knowledge base of the expert...
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Importance of sign conventions on analytical solutions to the wave-induced cyclic response of a poro-elastic seabed
PublicationThis paper discusses the influence of different sign conventions for strains and stresses, i.e. the solid mechanics sign convention and the soil mechanics sign convention, on the form of governing partial differential equations (the static equilibrium equations and the continuity equation) used to describe the wave-induced cyclic response of a poro-elastic seabed due to propagation of a sinusoidal surface water-wave. Some selected...
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Improved Bandwidth of Microstrip Wide-Slot Antenna Using Gielis Curves
PublicationThe development of a broadband printed wide-slot antenna based on Gielis curves is presented in this article. The printed wide-slot antenna can be conveniently reshaped to achieve ultra-wideband performance by using superformula. The distinct advantage of employing the superformula in design of wide-slot antenna lies in its ability to define nearly any geometric shape including non-standard, complex and non-intuitive for the wide-slot...
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Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement
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Improved Efficacy Behavioral Modeling of Microwave Circuits through Dimensionality Reduction and Fast Global Sensitivity Analysis
PublicationBehavioral models have garnered significant interest in the realm of high-frequency electronics. Their primary function is to substitute costly computational tools, notably electromagnetic (EM) analysis, for repetitive evaluations of the structure under consideration. These evaluations are often necessary for tasks like parameter tuning, statistical analysis, or multi-criterial design. However, constructing reliable surrogate models...
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Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems
PublicationSolar photovoltaic (PV) panels generate optimal electricity when operating at the maximum power point (MPP). This study introduces a novel MPP tracking algorithm that leverages the numerical prowess of the predictor-corrector method, tailored to accommodate voltage and current fluctuations in PV panels resulting from variable environmental factors like solar irradiation and temperature. This paper delves into the intricate dynamics...
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Improvement of Hydrogen-Resistant Gas Turbine Engine Blades: Single-Crystal Superalloy Manufacturing Technology
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IMPROVING COMPUTATIONAL ABILITY OF MACHINE-LEARNING ALGORITHMS WITH FEATURE SELECTION METHOD
PublicationNowadays, Machine-Learning (ML) methods can help engineers solve issues using developed and well-trained computer algorithms. It is possible to predict the seismic behavior of steel Moment-Resisting Frames (MRFs) with higher numerical accuracy. The present research aims to propose a Feature Selection Method (FSM) that can be employed by ML methods to compensate for the "not given feature/features", which are not possible to be...
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Improving in-situ biomethanation of sewage sludge under mesophilic conditions: Performance and microbial community analysis
PublicationThis research investigated the application of in-situ biological hydrogen methanation within a continuous stirred tank reactor (CSTR) system under mesophilic conditions, with sewage sludge used as the substrate. Two CSTRs with an effective capacity of 5 L were installed and loaded with inoculum sludge with a volatile solid (VS) concentration of 1.2–1.5 %. They were fed mixed waste sludge with an organic loading rate (OLR) of 1.5...
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Improving Output Performance of the Ultrasonic Multicell Piezoelectric Motor by Development the Multi-Rotor Structure
PublicationIn recent years, many researches have been carried out on piezoelectric multi-rotor structures. This paper describes the analysis, development and experimental process of an ultrasonic multi-cell piezoelectric motor using a multi-rotor structure. In this design, three independent cells have been integrated into a mechatronic system. Analytical model and finite element method are used for modal and dynamic analysis of the proposed...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublicationLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Improving Social Justice, Environmental Integrity, and Geopolitical Resilience in EU Electric Mobility Transition
PublicationWe recommend improving social justice, environmental integrity, and geopolitical resilience in electric mobility transition. To achieve this policy recommendation, we propose the following: (1) Increase societal acceptance and justice of climate policies by engaging local stakeholders; (2) Prioritize sustainable mobility practices over replacement of internal combustion engine vehicle (ICEV) with battery electric vehicle (BEV);...
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Improving surgical outcomes of chronic subdural hematoma surgery: an umbrella review and meta analyses guidance for neurosurgeons
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Improving the Efficiency of Semitransparent Perovskite Solar Cell Using Down-Conversion Coating
PublicationPerovskite solar cells (PSCs) have demonstrated exceptional efficiency, yet surpassing theoretical performance limits requires innovative methodologies. Among these, down-conversion techniques are pivotal in reducing optical losses and enhancing energy conversion efficiency. In this study, optical modeling, including a generalized transfer-matrix optical model, was employed to meticulously assess optical losses in semitransparent...
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Improving the efficiency of street lighting electrical systems
PublicationTo derive mathematical expressions that, using the available information, will allow forecasting the levels of electricity consumption by the city’s outdoor lighting network in the main possible scenarios for several years ahead, as well as when developing an energy-efficient smart control system for the electro-complex of lighting complex. Creating an effective intelligent outdoor lighting control system involves the use of the...
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Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
PublicationExamining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent advances in sensitivity analysis methodology, optimization of training hyperparameters, and state-of-the-art ensemble techniques have greatly simplified and enhanced the forecasting of biochar output and composition from various biomass...
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In silico approaches for better understanding cysteine cathepsin-glycosaminoglycan interactions
PublicationCysteine cathepsins constitute the largest cathepsin family, with 11 proteases in human that are present primarily within acidic endosomal and lysosomal compartments. They are involved in the turnover of intracellular and extracellular proteins. They are synthesized as inactive procathepsins that are converted to mature active forms. Cathepsins play important roles in physiological and pathological processes and, therefore, receive...
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In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies
PublicationDespite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding...
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In Silico Safety Assessment of Bacillus Isolated from Polish Bee Pollen and Bee Bread as Novel Probiotic Candidates
PublicationBacillus species isolated from Polish bee pollen (BP) and bee bread (BB) were characterized for in silico probiotic and safety attributes. A probiogenomics approach was used, and in-depth genomic analysis was performed using a wide array of bioinformatics tools to investigate the presence of virulence and antibiotic resistance properties, mobile genetic elements, and secondary metabolites. Functional annotation and Carbohydrate-Active...
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In Vitro and Ex Vivo Chemical Stability Studies of Layers on Substrates and Implants Made of Titanium Alloy
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In vitro bioaccessibility of macro and trace elements in biofortified and conventional farmed gilthead seabream (Sparus aurata) and common carp (Cyprinus carpio)
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In vitro biological evaluation of a novel folic acid-targeted receptor quantum dot−β−cyclodextrin carrier for C-2028 unsymmetrical bisacridine in the treatment of human lung and prostate cancers
PublicationTraditional small-molecule chemotherapeutics usually do not distinguish tumors from healthy tissues. However, nanotechnology creates nanocarriers that selectively deliver drugs to their site of action. This work is the next step in the development of the quantum dot−β−cyclodextrin−folic acid (QD−β−CD−FA) platform for targeted and selected delivery of C−2028 unsymmetrical bisacridine in cancer therapy.Herein, we report an initial...
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In Vitro Germination and Organogenesis of Endangered Neo-Endemic Baltic Dunes Species Linaria loeselii Schweigg
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In-ADC, Rank-Order Filter for Digital Pixel Sensors
PublicationThis paper presents a new implementation of the rank-order filter, which is established on a parallel-operated array of single-slope (SS) analog-to-digital converters (ADCs). The SS ADCs use an “on-the-ramp processing” technique, i.e., filtration is performed along with analog-to-digital conversion, so the final states of the converters represent a filtered image. A proof-of-concept 64 × 64 array of SS ADCs, integrated with MOS...
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Incidence of Post-operative Gastro-esophageal Reflux Disorder in Patients Undergoing Laparoscopic Sleeve Gastrectomy: A Systematic Review and Meta-analysis
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Inclusive onboarding process and the specific organizational culture – a theoretical outline of the problem
PublicationPurpose: The aim of this article is to indicate to what extent an organization hiring new employees is able to prepare an individualized, inclusive onboarding process for a diverse workforce; to what extent is it necessary, and to what extent is it possible, so that each new employee efficiently find themselves in the new workplace, but also has the feeling that the organization wants to use their potential and talents. Design/methodology/approach:...
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Inclusivité linguistique : une quête de clarté et de précision conceptuelle
PublicationThe objective of this paper is to conduct a comprehensive review of synonymous or quasi-synonymous terms related to the phenomenon of inclusive language. The paper defines the concept of linguistic inclusivity, enumerating the analysed terms, and aims to clarify the reasons for the proliferation of terminologies. Additionally, it examines eight techniques designed to avoid the use of generic masculine expressions. The paper...
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INDYWIDUALIZACJA PROCESU NAUKI I ROZWÓJ OSOBISTY STUDENTÓW STRATEGICZNE PODEJŚCIE DO SUKCESU
PublicationStudia to niezwykły czas w życiu każdego młodego człowieka, pełen wyzwań, nowych doświadczeń i możliwości. Jednakże, aby w pełni wykorzystać ten okres i zdobyć nie tylko wiedzę, ale także umiejętności, które będą przydatne w przyszłości, konieczne jest wypracowanie skutecznych metod nauki. Jako ekspert w dziedzinie edukacji, chciałbym podzielić się sprawdzonymi strategiami, które pomogą każdemu studentowi osiągnąć sukces akademicki....
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Inert gas condensation made bimetallic FeCu nanoparticles - plasmonic response and magnetic ordering
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Infedeltà nel trasferimento delle collocazioni nella traduzione dei romanzi di Michel Houellebecq dal francese all’italiano
PublicationBuilding on my PhD project, this paper explores fidelity challenges in the transfer of verb-nominal collocations (VNC) in the Italian translations of seven of Michel Houellebecq’s novels. I examine various kinds of infidelity, such as omissions, errors, incongruence in constituent transmission, incoherence in recurrent VNC transmission, and infidelity at the level of phraseological coverage. The accurate transfer...
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Influence of 3D Printed Overlay Infill Patterns on Miniaturized ESPAR Antenna Performance
PublicationIn this article, we show how different infill patterns influence the overall performance of miniaturized electrically steerable parasitic array radiator (ESPAR) antenna. The use of 3D printed dielectric overlays is a simple and flexible way to miniaturize ESPAR antennas, so they are more compact and can be better integrated with wireless sensor network (WSN) nodes or gateways in different application areas. Additionally, such overlays...
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Influence of an Interview Location on Opinions about the Ecosystem Services Provided by Trees
PublicationCollecting opinions regarding environmental management is essential, particularly in urban areas where space is limited, and interests often collide. However, the impact of the conditions in which the research is conducted on opinions and preferences elicited via surveys and interviews about the environment is usually taken for granted. The recent development of computer-aided survey methods allows a simulation of an environment,...
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Influence of conductive carbon and MnCo2O4 on morphological and electrical properties of hydrogels for electrochemical energy conversion
PublicationIn this work, a strategy for one-stage synthesis of polymer composites based on PNIPAAm hydrogel was presented. Both conductive particles in the form of conductive carbon black (cCB) and MnCo2O4 (MCO) spinel particles were suspended in the three-dimensional structure of the hydrogel. The MCO particles in the resulting hydrogel composite acted as an electrocatalyst in the oxygen evolution reaction. Morphological studies confirmed...
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Influence of Giant Reed (Arundo Donax L.) Culms Processing Procedure on Physicochemical, Rheological, and Thermomechanical Properties of Polyethylene Composites
PublicationGiant reed (Arundo donax L.) is a plant species with a high growth rate and low requirements, which makes it particularly interesting for the production of different bioproducts, including natural fibers. This work assesses the use of fibers obtained from reed culms as reinforcement for a high-density polyethylene (HDPE) matrix. Two different lignocellulosic materials were used: i) shredded culms and ii) fibers obtained by culms...
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Influence of iron content on water uptake and charge transport in BaCe0.6Zr0.2Y0.2−xFexO3−δ triple-conducting oxides
PublicationIn this work, we studied the BaCe0.6Zr0.2Y0.2−xFexO3−δ system which belongs to the triple-conducting oxides (TCOs) group. The electrochemical properties of BaCe0.6Zr0.2Y0.2−xFexO3−δ were investigated using electrochemical impedance spectroscopy (EIS) and the water uptake was analyzed using thermogravimetry (TG). All investigated materials exhibited water uptake, with proton concentration increasing with decreasing iron content....
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Influence of Lubrication Water Contamination by Solid Particles of Mineral Origin on Marine Strut Propeller Shafts Bearings of Ships
PublicationThe stern tube or strat bearings are key important component for safety of shipping. Modern global regulations required a low as possible negative impact on environment including lubricants leaking to the sea. The ship owners are looking for reliable and durable solutions. The costs of each ship components are carefully studied. The water lubricated bearings for ship propeller shafts are an environmentally friendly solution. That...
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Influence of operating pressure on the durability of a satellite hydraulic motor supplied by rapeseed oil
PublicationThis article describes the results of a durability test of a hydraulic satellite motor supplied by rapeseed oil. The tests were carried out on a test stand in a power recuperation system. The tests of the motor were carried out at a constant shaft speed for three fixed pressure drops in the motor. This made it possible to demonstrate the influence of the motor operating pressure on the durability of the satellite mechanism. The...
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Influence of silver nanoparticles addition on antibacterial properties of PEO coatings formed on magnesium
PublicationMagnesium is a biodegradable material and thus could be a choice for bone fixation devices and implants with a specific purpose. This study aims to enhance the anti-corrosive, biocompatible, and antibacterial properties on magnesium-based materials through ceramic coatings formation. To achieve this the silicate-based electrolyte was used to create of Plasma Electrolytic Oxidation (PEO) coatings. During investigation the bioactive...
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Influence of Ultrasound on the Characteristics of CaP Coatings Generated Via the Micro-arc Oxidation Process in Relation to Biomedical Engineering
PublicationOver the past decade, bone tissue engineering has been at the core of attention because of an increasing number of implant surgeries. The purpose of this study was to obtain coatings on titanium (Ti) implants with improved properties in terms of biomedical applications and to investigate the effect of ultrasound (US) on these properties during the micro-arc oxidation (MAO) process. The influence of various process parameters, such...
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Influence of User Mobility on System Loss and Depolarization in a BAN Indoor Scenario
PublicationIn this article, an analysis of system loss and depolarization in body area networks (BANs) for body-toinfrastructure (B2I) communications based on a measurement campaign in the 5.8 GHz band in an indoor environment is performed. Measurements were performed with an off-body antenna transmitting linearly polarized signals and dual-polarized receiving antennas carried by the user on the body. A normal distribution with a mean of...
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Influence of xanthine oxidase inhibitors on all-cause mortality in adults: a systematic review and meta-analysis
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Infographics in Educational Settings: A Literature Review
PublicationInfographics are visual representations of data that utilize various graphic elements, including pie charts, bar graphs, line graphs, and histograms. Educators and designers can maximize the potential of infographics as powerful educational tools by carefully addressing challenges and capitalizing on emerging technologies. However, current education systems showcase the need for development guidelines and the best practices targeted...
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Informal Workplace Learning and Employee Development. Growing in the Organizational New Normal
PublicationThe new paradigm in employee development assumes that employees should proactively direct their learning and growth. Most workplace learning is basically informal and occurs through daily work routines, peer-to-peer interactions, networking, and typically brings about significant positive outcomes to both individuals and organizations. Yet, workplace learning always occurs in a pre-defined context and this context has recently...