2024 - Publications Repository - Gdańsk University of Technology

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Publications from the year 2024

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Navigating the Complexity: Understanding Social Integration in Smart Communities versus Smart Cities
- Magdalena Ciesielska
- Gabriela Viale-Pereira
- Thomas J. Lampoltshammer
2024 Full text
This study delves into the differentiation between smart community and smart city concepts, employing a comprehensive review of conceptual literature. The aim of this study is to identify and deliberate on the nuanced disparities between these two paradigms. By establishing pivotal distinctions, we aim to scrutinize the integration of social aspects in the development and implementation of smart communities. Our findings will offer insights into the essential factors influencing individual and social behavioral changes, thereby facilitating the development of a conceptual model to guide future empirical investigations.
N-doped graphene quantum dot-decorated MOF-derived yolk-shell ZnO/NiO hybrids to boost lithium and sodium ion battery performance
- Beata Bajorowicz
- Monika Wilamowska-Zawłocka
- Wojciech Lisowski
- Andrzej Żak
- Tomasz Klimczuk
2024 APPLIED SURFACE SCIENCE
Surface engineering at the nanoscale to obtain robust interface between metal oxides and quantum dots is essential for improving the performance and stability of battery materials. Herein, we designed and prepared novel N-doped graphene quantum dot-modified ZnO/NiO anode materials with a well-defined yolk-shell structure for lithium and sodium-ion batteries. NG QDs were assembled on the ZnO/NiO microspheres using three different coupling strategies: solvothermal, direct adsorption and annealing under N2 atmosphere. The presence of NG QDs deposited on the ZnO/NiO hybrids promoted enhanced electrical conductivity, lower chargetransfer resistance and provides more active sites. As a result, NG-ZnO/NiO_s anode obtained by solvothermal route exhibited high reversible delithiation capacity of 912 mAh/g at 18.6 mA g 1 and excellent cycling performance with the average delithiation capacity of 525 mAh/g at 372 mA g 1 over 400 cycles. Moreover, application of the NG-ZnO/NiO_s elecrode in Na-ion batteries revealed decent electrochemical behavior with capacity values reaching 235 mAh/g at 18.6 mA g 1. Importantly, surface properties, morphology and electrochemical behavior of obtained NG-ZnO/NiO hybrids were dependent on the combination route of NG QDs with ZnO/NiO microspheres indicating that quality of heterojunction between composite components has significant impact on the electrode performance.
Negative CO2 Emission Gas Power Plant As Technology for Utilization of Sewage Sludge, Production of Electrical Energy, and CO2 Capture - Case of Chamber Under Transpiration Cooling
- Paweł Ziółkowski
- Kamil Stasiak
- Mario Ditaranto
- Samuel Wiseman
- Maja Kaszuba
- Dariusz Mikielewicz
2024
This work focuses on the concept developed in the nCO2PP project, which aims to demonstrate a technology that allows to achieve negative CO2 emissions through Carbon Capture and Storage (CCS) applied to sewage sludge. A feedstock is first gasified, then the resulting syngas is burned in a semi-closed oxy-fuel gas turbine with pure oxygen and water, using the advantages of oxy-combustion, to ease the capture of CO2 in the resulting exhaust gases. High-temperature combustion later takes place in a dedicated wet combustion chamber before expansion in a turbine which produces electricity. Given that in Polish law sewage sludge is treated as biomass, a negative CO2 emission factor is achieved. Works in the project are performed both in experimental and design terms. The concept of transpiration cooling will be considered in terms of different methods. Additionally, previously unpublished computational flow dynamics (CFD) simulations related to transpiration cooling were compared with measurement and design analyses. Experimental efforts include a demonstration of water transpiration through a porous structure.
Network-assisted processing of advanced IoT applications: challenges and proof-of-concept application
- Higinio Mora
- Francisco A. Pujol
- Tamai Ramírez
- Antonio Jimeno-Morenilla
- Julian Szymański
2024 Full text Cluster Computing-The Journal of Networks Software Tools and Applications
Recent advances in the area of the Internet of Things shows that devices are usually resource-constrained. To enable advanced applications on these devices, it is necessary to enhance their performance by leveraging external computing resources available in the network. This work presents a study of computational platforms to increase the performance of these devices based on the Mobile Cloud Computing (MCC) paradigm. The main contribution of this paper is to research the advantages and possibilities of architectures with multiple offloading options. To this end, a review of architectures that use a combination of the computing layers in the available infrastructure to perform this paradigm and outsource processing load is presented. In addition, a proof-of-concept application is introduced to demonstrate its realization along all the network layers. The results of the simulations confirm the high flexibility to offload numerous tasks using different layers and the ability to overcome unfavorable scenarios.
Neural network agents trained by declarative programming tutors
- Jan Dobrosolski
- Julian Szymański
- Higinio Mora
- Karol Draszawka
2024
This paper presents an experimental study on the development of a neural network-based agent, trained using data generated using declarative programming. The focus of the study is the application of various agents to solve the classic logic task – The Wumpus World. The paper evaluates the effectiveness of neural-based agents across different map configurations, offering a comparative analysis to underline the strengths and limitations of these approaches. We discuss the quantitative and qualitative aspects of these agents in scenarios that require generalization. For a concise comparison, we present the performance and resource utilization of different agents as follows: The Prolog- based agent showed a base task win rate of 61%, which dropped to 5% in a modified task setting, requiring 13KB of memory. The Q-Learning agent achieved a 2% win rate in the base task, with the modified task performance not applicable, and a memory requirement of 67KB. An agent based on a Convolutional Neural Network (CNN) recorded a 44% win rate on the base task and 32% on the modified task, consuming 134KB of memory. The Deep Q-Network (DQN) agent displayed a 56% win rate in the base task and 46% in the modified task, necessitating a substantial amount of memory, 284MB.
Neural network model of ship magnetic signature for different measurement depths
- Kajetan Zielonacki
- Jarosław Tarnawski
2024
This paper presents the development of a model of a corvette-type ship’s magnetic signature using an artificial neural network (ANN). The capabilities of ANNs to learn complex relationships between the vessel’s characteristics and the magnetic field at different depths are proposed as an alternative to a multi-dipole model. A training dataset, consisting of signatures prepared in finite element method (FEM) environment Simulia Opera was constructed. A feedforward neural network was developed through a comparative analysis of different activation functions available in MATLAB’s Deep Learning Toolbox and the grid search method. Verification was performed using the leave-one-out cross-validation method (LOOCV). The model proved to be highly effective in predicting the magnetic signature for the northward direction in any measurement depth, with prospects to expand it to estimate other directions.
New BB0108, BB0126, BB0298, BB0323, and BB0689 Chromosomally Encoded Recombinant Proteins of Borrelia burgdorferi sensu lato for Serodiagnosis of Lyme Disease
- Weronika Grąźlewska
- Tomasz Chmielewski
- Beata Fiecek
- Lucyna Holec-Gąsior
2024 Pathogens
Five chromosomally encoded proteins, BB0108, BB0126, BB0298, BB0323, and BB0689, from Borrelia burgdorferi sensu lato (s.l.), were obtained in three variants each, representing the most common genospecies found in Europe (Borrelia afzelii, Borrelia burgdorferi sensu stricto (s.s.), and Borrelia garinii). The reactivity of these recombinant proteins with the IgM and IgG antibodies present in human serum was assessed using Western blot (WB) and the ELISA. In IgG-WB, the proteins exhibited varying reactivity, peaking at approximately 40–50% for BB0108 and BB0689. However, none of these proteins were recognized by specific antibodies in the IgM-WB. The sensitivity of IgG-ELISA based on three variants of BB0108 and BB0323 ranged from 71% to 82% and from 62% to 72%, respectively. Conversely, the specificity of both tested proteins was consistently above 82%. Tests utilizing single variants of BB0323 did not yield any diagnostic value in detecting IgM antibodies. However, BB0108 demonstrated recognition by antibodies present in 52% to 63% of the tested sera. These antigens appear advantageous due to the consistent reactivity observed across their variants. This observation suggests that appropriate selection of antigens conserved within B. burgdorferi s.l. could offer a solution to the issue of variable sensitivity encountered in serodiagnostic tests across Europe.
New Biocompatible Ti-MOF@hydroxyapatite Composite Boosted with Gentamicin for Postoperative Infection Control
- Weronika Bodylska
- Adam Junka
- Malwina Brożyna
- Michał Bartmański
- Renata Gadzała-Kopciuch
- Anna Jaromin
- Jorge A. R. Navarro
- Anna Lukowiak
- Marzena Fandzloch
2024 ACS Biomaterials Science & Engineering
The standard clinical management of osteomyelitis involves prolonged antibiotic therapy, which frequently necessitates the excision of infected tissues. However, the efficacy of such treatments is increasingly compromised by the rise of antibiotic-resistant pathogens, underscoring an urgent need for innovative approaches. This study introduces a novel composite material designed to offer dual functionality: robust antimicrobial activity and promotion of bone regeneration. The composite integrates biocompatible hydroxyapatite nanoparticles (HA) with a titanium(IV)–metal–organic framework, MIL-125(Ti)-NH2, impregnated with gentamicin (GM). The solvothermally synthesized MIL-125-NH2@HA composite demonstrates high cytocompatibility, as evidenced by assays using osteoblasts (U2-OS) and fibroblasts (L929), alongside an absence of hemolytic activity at concentrations of up to 1000 μg/mL. Importantly, the introduction of GM into the composite significantly amplifies its antibacterial efficacy against Staphylococcus aureus and Pseudomonas aeruginosa. Additionally, nanoindentation assessments reveal enhanced mechanical properties of the MIL-125-NH2@HA composite, indicating the superior elastic performance relative to unmodified HA. The findings of this research are poised to generate significant interest in the development of metal–organic framework (MOF)-based composites for antimicrobial implant applications, presenting a promising avenue for addressing the challenges posed by antibiotic resistance in bone infections.
New concept of drilling auger for displacement pile installation
- Adam Krasiński
2024 Full text
In 2020, a new version of the screw displacement auger for pile installation in soil was developed and patented in Poland. It was named DPDT (Displacement Pile Drilling Tool). The general aim of its development was to reduce the soil resistances to the auger during screwing into the ground while maintaning a good load-bearing capacity for the screw displacement piles. The “DPDT-Auger” prototype was tested as a scaled-down model in the laboratory as well as in full-scale in the field. Its efficiency was compared with an ordinary SDP auger in two ways: by assessing soil resistances during screwing into the ground and by assessing the bearing capacity of completed piles. This paper presents the field tests and their results. Over 80 piles were tested in six test sites. Among them, 24 piles were instrumented and subjected to static load tests. The test results were generally positive and showed that the DPDT auger generates less torque than the SDP auger but requires more rotations and a slightly longer pile installation time. When it comes to the bearing capacity of the compression load, both DPDT and SDP piles showed similar characteristics.
New generation composite panels for military and civil applications: mechanical, thermal, fire, and acoustic properties
- Adam Wawrzynowicz
- Tomasz Wojtkiewicz
2024 Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
The article presents selected results from a research programme on innovative composite panels featuring an insulating core and magnesium cement facings, optionally reinforced with additional steel facings. The scope of the research programme includes the assessment of the panels themselves, as well as the partitions constructed from them and entire buildings, including portable structures built in accordance with the requirements of the United States Army (UFC – Unified Facilities Criteria). Issues relating to structural performance, thermal efficiency, fire resistance, and acoustics were analysed.
New heterometallic Co/Zn, Ag/Co, and Ag/Zn imidazolates: structural characterization and catalytic activity in the oxidation of organic compounds
- Mattia Lopresti
- Łukasz Kurowski
- Luca Palin
- Marco Milanesio
- Magdalena Siedzielnik
- Karolina Gutmańska
- Adrianna Dobrenko
- Tomasz Klimczuk
- Ewelina Pawelczyk
- Anna Dołęga
2024 Full text DALTON TRANSACTIONS
Nanocrystalline powders of monometallic and bimetallic imidazolates of Co, Zn, and Ag were produced by a reaction carried out in water. The powders were characterized by powder X-ray diffraction and the crystal structures of new compounds Ag2ZnIm4 and Ag2CoIm4 (Im = imidazolate) were solved. Heterometallic Co/Zn imidazolates showed the standard ZIF-8 crystal structure while Ag/Zn and Ag/Co systems were isostructural with the copper analogs. The powders were further characterized by EDX, UV-Vis and FTIR ATR spectroscopy in solid state. The catalytic experiments indicated that out of the studied heterometallic compounds only Ag2Co(Im)4, exhibits some catalytic activity in the reaction of oxidation of 1-phenylethanol by tert-butylhydroperoxide at elevated temperature.
New skills for architects: 3D scanning for an immersive experience in architectural education
- Szymon Kowalski
- Jacek Lebiedź
- Sandro Parinello
- Francesca Picchio
2024 Full text Global Journal of Engineering Education
The authors of this article explore the integration of remote sensing techniques, specifically laser scanning and photogrammetry, as well as immersive visualisation via different methods applied to architectural design processes, and its potential impact on the professional development of future architects. The study demonstrates the value of extending the architectural design process into the interdisciplinary field of geomatics and computer science through mixed research methods, including interviews, hands-on activities, market observations and knowledge of technological advances. The study results suggest a growing demand for certain interdisciplinary skills among students, necessitating an expanded approach to architectural design education to take full advantage of technological advances. The observed new possibility of the emergence of new professional specialisations in architecture, such as digital inventory managers, highlights the need to adapt some educational pathways to meet the demands of the industry, especially in the context of architectural heritage. The implication of this approach is to recommend the integration of remote sensing techniques into architectural curricula to better prepare future architects for today’s ever-evolving practice.
New technologies for green hydrogen activation, storage, and transportation
- Bráulio Barros
- Natalia Łukasik
- Joanna Kulesza
- Jose Daniel da Silva Fonseca
2024
Developing new green hydrogen activation, storage, and transportation technologies is a highly complex and multidisciplinary endeavor. This challenge arises from integrating various scientific, engineering, and environmental considerations. Effective evaluation of green hydrogen technologies involves a holistic approach that considers not only the technical aspects but also economic, environmental, and social factors. These criteria help ensure that green hydrogen solutions contribute positively to sustainability and energy transition goals. This chapter aims to present the most recent and innovative approaches with respect to green hydrogen activation, storage, and transportation.
New trifunctional acrylic water-based paint with self-cleaning, biocidal and magnetic properties
- Izabela Malinowska
- Oliwia Paszkiewicz
- Agata Markowska-Szczupak
- Anna Zielińska-Jurek
2024 Full text CERAMICS INTERNATIONAL
In the present study, we report the synthesis and application of ZnFe2O4/SiO2-TiO2 nanocomposites with nonstoichiometric content of Fe to Zn used for the first time for the preparation of new generation trifunctional paints with self-cleaning, biocidal and magnetic properties. Currently, there are no compositions on the market for obtaining protective coatings in the form of paint, which simultaneously exhibit biocidal, magnetic and selfcleaning - photocatalytic properties. The effect of Zn:Fe content on the antimicrobial, magnetic and self-cleaning properties of obtained modified paints was investigated. Furthermore, the non-stoichiometric zinc ferrite in combination with TiO2 allowed to create of a surface that inhibits microorganisms’ growth. Self-cleaning properties were studied in the reaction of dye - neutral red degradation. The commercial white paint was not photocatalytic active. Paint modification with nanocomposites based on ZnO/ZnFe2O4 and TiO2 resulted in the effective degradation of natural red dye. The highest dye removal efficiency was observed for the sample containing ZnFe2O4/SiO2-TiO2 particles with a non-stoichiometric 1:2 (Fe: Zn) molar ratio. Trifunctional paints with photocatalytic, magnetic and biocidal properties are a novelty in building products. The composition can be applied to protective and decorative layers, giving magnetic, biocidal and self-cleaning properties.
News that Moves the Market: DSEX-News Dataset for Forecasting DSE Using BERT
- Md. Nabil Rahman Khan
- Md Rafiqul Islam
- Cesar Sanin
- Edward Szczerbicki
2024
Stock market is a complex and dynamic industry that has always presented challenges for stakeholders and investors due to its unpredictable nature. This unpredictability motivates the need for more accurate prediction models. Traditional prediction models have limitations in handling the dynamic nature of the stock market. Additionally, previous methods have used less relevant data, leading to suboptimal performance. This study proposes the use of Bidirectional Encoder Representations from Transformers (BERT), a pre-trained Large Language Model (LLM), to predict Dhaka Stock Exchange (DSE) market movements. We also introduce a new dataset designed specifically for this problem, capturing important characteristics and patterns that were missing in other datasets. We test our new dataset of headlines and stock market indexes on various machine learning techniques, including Decision Tree (DT), Logistic Regression (LR), K-Nearest Neighbors (KNN), Random Forest (RF), Linear Support Vector Machine (LSVM), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs), Bidirectional Long Short-Term Memory (Bi-LSTM), BERT, Financial Bidirectional Encoder Representations from Transformers (FinBERT), and RoBERTa, which are compared to assess their predictive capabilities. Our proposed model achieves 99.83% accuracy on the training set and 99.78% accuracy on the test set, outperforming previous methods.
Niepewność dopasowania funkcji liniowej i logarytmicznej do punktów pomiarowych przy wyznaczaniu przewodności cieplnej materiałów
- Andrzej Mowiec
- Sławomira Janiak
- Daria Mazurek-Rudnicka
- Anna Golijanek-Jędrzejczyk
- Dariusz Świsulski
2024
Wyznaczanie właściwości cieplnych różnych materiałów budowlanych stanowią dziedzinę wiedzy ważną do analizy problemów związanych z wymianą ciepła w technice. Dla cenienia wielkości przewodzenia ciepła bardzo istotne znaczenie mają badania pozwalające na doświadczalne wyznaczenie wartości współczynnika przewodności cieplnej  Znajomość tego współczynnika dla różnego rodzaju materiałów jest ważna w praktyce inżynierskiej, a także w badaniach eksperymentalnych. Najprostszą w realizacji metodą do wyznaczania przewodności cieplnej ciał stałych jak i cieczy jest metoda „gorącego drutu”. W publikacji zaprezentowano wyniki badań eksperymentalnych pomiaru temperatury oraz szacowania jej względnej niepewności pomiarowej przygotowanych próbek - elementu grzejnego w postaci odcinka izolowanego drutu oporowego o średnicy 0,2 mm na stanowisku badawczym.
Nitrogen oxides removal from hydrogen flue gas using corona discharge in marine boilers: Application perspective
- Dominik Kreft
- Konrad Marszałkowski
- Karol Szczodrowski
2024 Full text INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
This paper focuses on the combustion of hydrogen in boilers, as it appears to be a more effective method than using fuel cells for heating purposes due to higher boiler efficiency. One of the main disadvantages of hydrogen combustion in air is NOx formation. Therefore, the authors decided to introduce corona discharge as an inno- vative technique to clean hydrogen flue gas by effectively reducing NOx levels. The method involves generating positive plasma at atmospheric pressure by applying up to a 23 kV voltage difference between rod and ring- shaped electrodes. Experimental studies have shown that corona discharge can significantly lower the concen- trations of NO and NOx in exhaust gases. The maximum DeNOx level was found to be 32.3%, while the plasma generator uses 17.5% of the power contained in burned hydrogen. The findings suggest that this technology holds potential for application in industrial hydrogen combustion systems, offering an environmentally friendly alternative to conventional NOx reduction methods.
Nitrogen-incorporated boron-doped diamond films for enhanced electrochemical supercapacitor performance
- Shradha Suman
- Mateusz Ficek
- Kamatchi J Sankaran
- Jacek Ryl
- Benadict Rakesh
- Mukul Gupta
- Ramasamy Sakthivel
- Robert Bogdanowicz
2024 ENERGY
The electrochemical (EC) supercapacitor, known for its rapid charging, reliability, and versatile applications, demands optimized electrode characteristics and an understanding of their electrochemical behaviour. Although boron-doped diamond (BDD) holds promise as a supercapacitor electrode, a crucial gap exists in comprehending its material behaviour under specific growth conditions. Here, nitrogen-incorporated BDD (N-BDD) films with different microstructures are investigated. The morphology of N-BDD films is varied by tuning the substrate temperature (Ts) from 400 °C to 850 °C during the growth process. The diamond films grown at lower Ts = 400 °C consist of faceted grains, and the grain sizes shrink as Ts is increased (550 °C and 700 °C). Interestingly, the films grown at 850 °C (N-BDD850°C) show nanowire-like morphology with enhanced electrical conductivity. The spectroscopy and microscopy results reveal the concurrence of sp3-diamond and sp2-graphitic phases in the nanowire morphology. The EC supercapacitor studies disclose that formation of nanowire-like morphology for N-BDD850°C increases the active surface area and electron transport properties; hence, higher current response and enhanced specific capacitance (0.09 F cm−2 at a current density of 1.53 mA cm−2) are observed. Lifecycle stability of 82% is observed after 5000 cycles indicating the efficient performance of N-BDD850°C films.
NMR-Based Structural Insight into DNA G-Quadruplex
- Julia Pakuła
2024
Emerging as a promising area in anticancer research, noncanonical DNA structures such as G-quadruplexes are studied using NMR spectroscopy. NOESY spectra reveals crucial interactions between ligands and G-quadruplexes, helping to understand non-covalent binding mechanisms. This knowledge is essential for rational drug design targeting these structures.
Nodal fermions in the strongly spin-orbit coupled pyrochlore-lattice compound RbBi2
- Dongjin Oh
- Junha Kang
- Yuting Qian
- Shiang Fang
- Mingu Kang
- Chris Jozwiak
- Aaron Bostwick
- Eli Rotenberg
- Joseph G. Checkelsky
- Liang Fu
- Tomasz Klimczuk
- Michał Winiarski
- Bohm-Jung Yang
- Riccardo Comin
2024 PHYSICAL REVIEW B
We explore the topological electronic band structure of the pyrochlore lattice in the strong spin-orbit coupling regime. Using angle-resolved photoemission spectroscopy, first-principles calculations, and symmetry analysis, we have investigated the bulk electronic structure of RbBi2, which has a Bi pyrochlore network. We observe the presence of 3D massless Dirac fermions enforced by nonsymmorphic symmetry, as well as a 3D quadratic band crossing protected by cubic crystalline symmetry. Furthermore, we identify an additional 3D linear Dirac dispersion associated with band inversion protected by threefold rotation symmetry. These observations reveal the rich band topology of itinerant pyrochlore lattice systems in the strong SOC limit and serve as a starting point to explore correlated topological phases in geometrically frustrated lattices.