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Catalog Publications
Year 2025
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Machine learning tools match physician accuracy in multilingual text annotation
PublicationIn the medical field, text annotation involves categorizing clinical and biomedical texts with specific medical categories, enhancing the organization and interpretation of large volumes of unstructured data. This process is crucial for developing tools such as speech recognition systems, which help medical professionals reduce their paperwork. It addresses a significant cause of burnout reported by up to 60% of medical staff....
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Magnetic deep eutectic solvents for vortex-assisted liquid phase microextraction method for selective and green extraction of patulin from fruits and fruit juices
PublicationIn this study, a vortex assisted magnetic deep eutectic solvent based liquid phase microextraction (VA-MDES-LPME) technique was developed for the extraction of patulin prior to its determination by ultraviolet–visible spectrophotometry (UV–Vis). For this purpose, the use of a magnetic deep eutectic solvent (MDES) consisting of trihexyltetradecylphosphonium chloride, MnCl2, and octanoic acid (molar ratio 1:2:2) was tested to perform...
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Making leadership more agile in theory and practice. Working towards building a leadership agility model
PublicationThe article presents leadership taking into account agile practices that were taken from project management. The article provides a description of comprehensive leadership competencies that can be used in project practice. The publication begins with an indication of leadership in the light of current literature on the subject, an explanation of the characteristics of leadership and agile management...
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Marketing as an element of building the image and identity of the foundation - case study
PublicationThe article presents an introduction to the concept of building an image and identity as an element of marketing with application in the foundation as an entity. The research has been conducted and based on the available literature on the subject. The article describes comprehensive image and identity of a foundation as a brand that can be used in practice. The publication begins with an indication...
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Marketing communication in enterprises from the high-tech sector - case study
PublicationThe article presents an introduction to the concept of marketing communication in high-tech companies based on the available literature of the subject. The article describes comprehensive communication that can be used by high-tech sector. The publication begins with an indication of marketing communication in the light of current literature on the subject, an explanation of the characteristics of...
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Marketing office management with leadership competences application in a manufacturing and service company
PublicationThe article presents a description of comprehensive leadership competencies in a company, with the emphasis on managing the marketing department. The publication commences with the indication of the leadership in the light of this literature, explaining what leadership competencies are, how they are identified and what competencies we distinguish. It also explains the purpose of applying leadership...
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Matrix elements for spin-orbit couplings in KRb
PublicationIn response to the need to investigate and create a reliable dataset of spin-orbit coupling matrix elements, we have extended our recent work in which we presented results for the potential energy curves and permanent and transition dipole moments in KRb. This paper presents 190 allowed spin-orbit couplings between 30 singlet and triplet +, , and electronic states of the KRb molecule. These results are crucial for accurately interpreting...
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Measurement Technique Comparison in the Entire Fracture Surface Topography Assessment for Additively Manufactured Materials
PublicationThis paper focuses on comparing the three microscopic measurement techniques, confocal, focus variation, and point for focus, for the evaluation of entire fracture surface topographies. The measurements were performed using a Sensofar S Neox 3D optical profilometer and the Mitutoyo QV Apex 302 vision measuring system. The test specimens required for measuring were printed through laser powder bed fusion (LPBF) technology using...
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Mechanical performance investigations of a post-tensioned inter-module connection in steel buildings
PublicationConnections in modular steel structures are critical for maintaining structural integrity and facilitating ease of installation. Traditional methods, such as on-site welding, require adherence to complex technical specifications. In contrast, post-tensioned steel bolts offer a viable alternative by potentially reducing on-site labor by up to 50 %, providing substantial strength and simplifying assembly. To accurately assess the...
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Mechanical properties of 3D-printed polylactide and short carbon fibres reinforced polylactide laminate subjected to environmental aging
PublicationIn this work the mechanical characterisation of fused filament fabricated non-reinforced polylactide and polylactide reinforced with short carbon fibre laminate after environmental aging was reported. In the manufacturing process, the symmetric laminate was used to determine the influence of environmental aging of 3D printed parts. The sterilisation agents and buffered saline solution environment were used as aging factors. Also,...
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Mechanistic insights and atmospheric implications of the degradation reaction of 3-methoxy-1-propanol by reaction with hydroxyl radicals and identification of the end products in the presence of O2/NO
PublicationThe study investigated the degradation of 3-methoxy-1-propanol (3M1P) by OH using the M06-2X/6-311++G(d,p) level, with CCSD(T) single-point corrections. We focused on hydrogen atom abstraction from various alkyl groups within the molecule. The rate coefficient for 3M1P degradation was calculated from the sum of the rate coefficients corresponding to the removal of H-atoms from primary (-CH3), secondary (-CH2-), tertiary (-CH<),...
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Membrane-Assisted Dark Fermentation for Integrated Biohydrogen Production and Purification: A Comprehensive Review
PublicationAbstract The aim of this review is to provide a comprehensive analysis of the membrane-assisted dark fermentation process for bioH2 production and purification. This review initially analyses the need for and the current state of the art in H2 production through dark fermentation, evaluating the research landscape and the maturity level of the technology. Key factors influencing the dark fermentation process are then examined,...
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Metal extraction using deep eutectic solvents for metal recovery and environmental remediation – A review
PublicationMetal extraction has proven to be an effective solution for recovering metal resources and addressing heavy metal pollution. Deep eutectic solvents (DESs) are receiving great attention for metal recovery because of their high selectivity, environmentally friendly character, low melting point, good stability, and low corrosive properties. Particularly, natural deep eutectic solvents (NADESs) and hydrophobic DESs (HDES) have been...
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Metamodel-based optimization of a high-tension cable barrier in crash tests with a large SUV
PublicationRoad safety barriers play an important role in improving road safety. Cable barriers are one of the types of road barriers. Cable barriers have favorable collision-related properties, especially in terms of the safety of the vehicle occupants. Despite the continuous development of road barrier systems, the current European standard EN1317, which is used to evaluate the performance of road barriers, does not take into account all...
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Methodological aspects in conducting scientific research - quantitative research
PublicationThis article presents a description of the methodological aspects of conducting (quantitative) scientific research. The publication focuses on the media industry, as it was the case in the previous article about methodological aspects of conducting qualitative research. The publication commences with an indication of scientific theory in the light of reference books, a definition and explanation of...
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Methods and Instruments | Scanning Electrochemical Microscopy
PublicationScanning electrochemical microscopy is based on the recording of electrolysis currents (Faradaic currents) at a microelectrode (ME) probe that is scanned over the sample. Different working modes are available to couple the electrolysis at the ME to reactions at the sample. The article explains their principles and provides examples of their application. The feedback mode, the sample-generation/tip collection mode, the redox-competition...
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MHD Casson flow across a stretched surface in a porous material: a numerical study
PublicationIn this study, we examine the nature of magnetohydrodynamic (MHD) Casson flow of fluid across a stretched surface in a porous material. It studies how the behaviour of Casson fluids is affected by a number of variables, including thermal radiation, chemical processes, Joule heating, and viscosity dissipation. The Keller box strategy, based on the finite difference method (FDM), is used to tackle the complex numerical problem. Graphical...
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Microstructure degradation and creep failure study of the dissimilar metal welded joint of heat-resistant steel and Inconel 617 alloy tested at 650 °C and applied stress range of 100–150 MPa
PublicationThe advanced ultra-supercritical (A-USC) power plant system is anticipated to become India's next-generation base-load power station. To adopt AUSC technology, dissimilar welded joints (DWJs) between heat-resistant steels and the nickel-based alloys, using the nickel-based fillers, will need to be implemented. However, failure of dissimilar welded joints from P92 steel base metal or the heat affected zone (HAZ) has been commonly...
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Międzynarodowa wystawa prac dzieci i młodzieży CONNECTIONS w Dehli w Indiach w ramach projektu Reconnecting With Your Culture (UNESCO) przy wsparciu programu Kształtowanie Przestrzeni (IARP)
PublicationPoland represented through the work of participants Poland - coordination of RWYC Poland. . Exhibition realised by Dehli Public Shool as part of an international project under the auspices of UNESCO - Reconnecting With Your Culture .
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Mitochondrial exonuclease EXOG supports DNA integrity by the removal of single-stranded DNA flaps
PublicationSingle-stranded DNA (ssDNA) is an important intermediate generated during various cellular DNA transactions, primarily during long-patch base excision repair. When displaced by DNA polymerase during strand displacement DNA synthesis, ssDNA forms 5′ overhangs (flaps) that are either cleaved by DNA nucleases or protected from degradation upon binding of single-stranded DNA-binding proteins (SSB). Several nucleases are involved in...
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Mitochondrial exonuclease EXOG supports DNA integrity by the removal of single-stranded DNA flaps
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Mixed, quantum-classical description of electron density transfer in the collision process
PublicationIn this work, we investigate an ion-atom model describing the time-dependent evolution of electron density during the collision. For a S3+- H system, numerical simulations are based on classical trajectory calculations, and the electron density behaviour is described with the time-dependent Schrödinger equation. We apply the finite difference method to obtain quantitative insights into the charge transfer dynamics, providing detailed...
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Mobile mutual-visibility sets in graphs
PublicationGiven a connected graph G, the mutual-visibility number of G is the cardinality of a largest set S such that for every pair of vertices x, y ∈ S there exists a shortest x, y-path whose interior vertices are not contained in S. Assume that a robot is assigned to each vertex of the set S. At each stage, one robot can move to a neighbouring vertex. Then S is a mobile mutual-visibility set of G if there exists a sequence of moves of...
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Modeling 5G-NR-Based Positioning Accuracy in Urban Environments
PublicationModeling phenomena influencing radiocommunication networks, such as 5G-NR, is a key aspect during their development and further optimization. In this paper, one proposes a model, for three different scenario types in urban environments, for user localization accuracy. The model is supported by measurements of real 5G-NR downlink signals carried out in three different urban environments, corresponding to the typical user localization....
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Modeling of damage interaction due to uniaxial creep and subsequent LCF pure torsional loading
PublicationThis paper presents experimental results of creep-rupture, preliminary creep and low-cycle torsional fatigue of 2024 aluminum alloy. It analyzes the effect of pre-deformation on fatigue life under pure, cyclic torsion loading conditions. Two different pre-deformation levels were considered in the creep process at 200 ◦C and 300 ◦C. A significant influence of creep predeformation on the cyclic properties of the tested material was...
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Modeling of microstructure evolution during high-temperature oxidation of porous Fe-Cr steels
PublicationResearch on the high-temperature oxidation of metals and alloys is experimentally challenging due to the requirement for long-term corrosion exposure, and in the case of porous alloys, due to their complex internal microstructure. In this study, a corrosion model based on the morphological operations of dilation and erosion has been developed. This approach allows for a utilization of various raster representations of the microstructure...
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Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
PublicationThis paper presents a microbial fuel cell (MFC) model designed to analyze the effect of the external load on MFC performance. The model takes into account the voltage and the chemical oxygen demand (COD) dependence on the external load. The value of the model parameters were calibrated by means of the voltage relaxation method tests using a controlled load current. Laboratory measurements and MATLAB Simulink model computations...
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Modified U-Net with attention gate for enhanced automated brain tumor segmentation
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Modulation of Neurturin Expression by Lumbosacral Spinal Stenosis, Lifestyle Factors, and Glycemic Dysregulation
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Modyfikacja właściwości fizykochemicznych elastomerów estrowych tlenkiem ceru
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Monitoring of absorptive model biogas purification process using sensor matrices and gas chromatography
PublicationThis study examined the process of purifying model biogas using a new type of absorbent based on a Deep Eutectic Solvent (DES) and a commercially available absorbent (Genosorb) to remove acetone, toluene, and cyclohexane. The main aim of the research was to control the purification efficiency using gas chromatography (GC) and an alternative method based on sensor matrices (SM). As a result of comparing the multidimensional SM signals...
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"Morficzne dotykanie miasta. studium dla Gdańska". Stypendium dla Twórców Kultury Marszałka Województwa Pomorskiego na projekt
PublicationStypendium przyznawane jest corocznie dla wybranych komisyjnie twórców kultury na działania związane z województwem pomorskim. Tematem projektu będzie badanie form miasto-morficznych. Artystyczne poszukiwania w wybranych gdańskich lokalizacjach (Orunia, Stocznia, Zaspa) mają odnaleźć język form i zauważanych szczelin. Miejskie morfemy mogą być przedmiotem dociekań i analiz. Autorska metoda pracy sprawdzona w terenach przyrodniczych...
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Morphological and Chemical Changes in the Hemolymph of the Wax Moth Galleria mellonella Infected by the Entomopathogenic Fungus Conidiobolus coronatus
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Morse homology for the Hamiltonian action in cotangent bundles
PublicationIn this paper we use the gradient flow equation introduced in Asselle and Starostka (Calc. Var. 59: 113, 2020) to construct a Morse complex for the Hamiltonian action AH on a mixed regularity space of loops in the cotangent bundle T ∗M of a closed manifold M. Connections between pairs of critical points are realized as genuine intersections between unstable and stable manifolds, which (despite being infinite dimensional objects)...
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Motivating academic library non-users to [re]discover the academic library’s usefulness for their studying practices - the Gdańsk University of Technology Library perspective.
PublicationThe main purpose of this article is to present academic library’s methods of motivating library non-users to rediscover the academic library’s values and usefulness for their studying practices from the Gdańsk University of Technology Library perspective. The author focused on discussing the issue of Polish full-time students as one of the groups of non-users of the academic library. -- Głównym celem artykułu jest...
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Multi-channel communication of luxury brands based on L'Oreal, Guerlain and Lancôme - case study
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Multi-Joint Symmetric Optimization Approach for Unmanned Aerial Vehicle Assisted Edge Computing Resources in Internet of Things-Based Smart Cities
PublicationSmart cities are equipped with a vast number of IoT devices, which help to collect and analyze data to improve the quality of life for urban people by offering a sustainable and connected environment. However, the rapid growth of IoT systems has issues related to the Quality of Service (QoS) and allocation of limited resources in IoT-based smart cities. The cloud in the IoT system also faces issues related to higher consumption...
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Multimodal Augmented Reality System for Real-Time Roof Type Recognition and Visualization on Mobile Devices
PublicationThe utilization of augmented reality (AR) is becoming increasingly prevalent in the integration of virtual reality (VR) elements into the tangible reality of the physical world. It facilitates a more straightforward comprehension of the interconnections, interdependencies, and spatial context of data. Furthermore, the presentation of analyses and the combination of spatial data with annotated data are facilitated. This is particularly...
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Multiphysical simulation of iron-based shape memory alloy (Fe-SMA) activation embedded in concrete structures
PublicationShape memory alloys (SMAs) are a well-known type of smart material that recovers its original shapes upon activation. This unique property makes SMAs attractive for pre-stressing applications in civil engineering. Iron-based SMAs (Fe-SMAs) are particularly promising for civil engineering applications because of their low cost,...
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MXene-based materials as adsorbents, photocatalysts, membranes and sensors for detection and removal of emerging and gaseous pollutants: A comprehensive review
Publication2D materials have garnered significant attention as potential solutions to various environmental challenges. Graphene, molybdenum disulfide, MXenes, and boron nitride have emerged as the most popular candidates among these materials. This article presents a comprehensive review and discussion on the emerging applications of MXenes in environmental engineering. MXenes have demonstrated immense potential as future materials for adsorption...
Year 2024
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Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
PublicationHigh-quality echocardiogram images are the cornerstone of accurate and reliable measurements of the heart. Therefore, this study aimed to develop, validate and compare machine learning and deep learning algorithms for accurate and automated assessment of transthoracic echocardiogram image quality. In total, 4090 single-frame two-dimensional transthoracic echocardiogram...
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Machine learning approach to packaging compatibility testing in the new product development process
PublicationThe paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublicationBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...
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Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
PublicationHigh-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless and environmentally friendly material. It has recently received a substantial amount of interest not only due to the potential it has for being used instead of ordinary concrete but also owing to the concerns associated with climate change, sustainability, reduction of CO2 emissions, and energy consumption. The characteristics and amounts of the...
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Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
PublicationIn recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have gained significant attention due to their exceptional properties, including lightweight construction, high specific strength, and stiffness. These attributes have found application in structures, infrastructures, wind power equipment, and various advanced civil products. However, the production process and the extensive testing required for...
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Machine-Learning-Based Global Optimization of Microwave Passives with Variable-Fidelity EM Models and Response Features
PublicationMaximizing microwave passive component performance demands precise parameter tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often requires a comprehensive approach due to their complex geometries and miniaturized structures. However, the computational burden of optimizing these components via full-wave electromagnetic (EM) simulations is substantial. EM analysis remains crucial for circuit...
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Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing
PublicationAir pollution remains a considerable contemporary challenge affecting life quality, the environment, and economic well-being. It encompasses an array of pollutants—gases, particulate matter, biological molecules—emanating from sources such as vehicle emissions, industrial activities, agriculture, and natural occurrences. Nitrogen dioxide (NO2), a harmful gas, is particularly abundant in densely populated urban areas. Given its...
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Macrocyclic derivatives of imidazole as chromoionophores for bismuth(III)/lead(II) pair
Publication18-membered diazomacrocycles with imidazole or 4-methylimidazole residue as a part of macrocycle were used as chromoionophores in bismuth(III) and lead(II) dual selective optodes for the first time. Cellulose triacetate membranes doped with macrocyclic chromoionophores are bismuth(III) and lead(II) selective with color change from orange/red to different shades of blue and violet, respectively. Results obtained for model and real...
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MagMax: Leveraging Model Merging for Seamless Continual Learning
PublicationThis paper introduces a continual learning approach named MagMax, which utilizes model merging to enable large pre-trained models to continuously learn from new data without forgetting previously acquired knowledge. Distinct from traditional continual learning methods that aim to reduce forgetting during task training, MagMax combines sequential fine-tuning with a maximum magnitude weight selection for effective knowledge integration...