2023 - Publications Repository - Gdańsk University of Technology

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Publications from the year 2023

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Global energy transition: From the main determinants to economic challenges regions
- Adam P. Balcerzak
- Gazi Salah Uddin
- Bartosz Igliński
- Michał Pietrzak
2023 Full text EQUILIBRIUM Quarterly Journal of Economics and Economic Policy
Dynamic global energy transition has been accelerating for the last decade. Interestingly, the energy transition is multidimensional and concerns both the dimensions of technique/ technology and the economic, social, institu-tional, and legal spheres (Shuguang et al., 2022; Tzeremes et al., 2022; Ram-zan et al., 2022; Tzeremes et al., 2022). The literature also points to the signif-icant impact of the digitization of the global economy on accelerating ener-gy transition processes (Shahbaz et al., 2022; Yi et al., 2022). It can be expected that due to the currently observed "Artificial Intelligence Revolu-tion," this factor may gain even higher importance. From the normative perspective, it is commonly assumed that the ener-gy transition should proceed according to the idea of the energy trilemma, which emphasizes three key aspects: ensuring energy security, fair access to energy, and environmental sustainability (Liu et al., 2022). However, reaching this objective is one of the biggest challenges for highly developed societies; specifically, supporting this process is the greatest challenge for current science.
Global value chains and wages under different wage setting mechanisms
- Joanna Wolszczak-Derlacz
- Dagmara Nikulin
- Sabina Szymczak
2023 Full text Competition & Change. The Journal of Global Business and Political Economy
This study examines whether, and how, differences in wage bargaining schemes shape the relationship between global value chains (GVCs) and the wages of workers while considering both GVC participation and position in GVC. Our dataset is derived from the European Structure of Earnings Survey (SES), containing employee–employer data from 18 European countries, merged with sectoral data from the World Input-Output Database (WIOD). The results of an augmented Mincer-type regression show that under national and industry wage bargaining schemes, greater participation in GVCs is associated with lower wages, whereas no adverse impact from GVCs is observed for workers under enterprise bargaining schemes. Finally, numerous extensions and instrumental variable estimations confirm that the type of collective pay agreement may alter the response of wages to both GVC participation and position.
Globalized Knowledge-Based Simulation-Driven Antenna Miniaturization Using Domain-Confined Surrogates and Dimensionality Reduction
- Sławomir Kozieł
- Anna Pietrenko-Dąbrowska
- Łukasz Gołuński
2023 Full text Applied Sciences-Basel
Design of contemporary antenna systems encounters multifold challenges, one of which is a limited size. Compact antennas are indispensable for the new fields of application such as inter-net of things or 5G/6G mobile communication. Still, miniaturization generally undermines elec-trical and field performance. When attempted through numerical optimization, it turns into a constrained problem with costly constraints requiring electromagnetic (EM) simulations. At the same time, due to parameter redundancy of compact antennas, size reduction poses a multimod-al task. In particular, the achievable miniaturization rate heavily depends on the starting point, while identifying a suitable starting point is a challenge on its own. These issues indicate that miniaturization should be addressed through global optimization methods. Unfortunately, the most popular nature-inspired algorithms cannot be applied for solving size reduction tasks be-cause of their inferior computational efficacy and difficulties in handling constraints. This work proposes a novel methodology for globalized size reduction of antenna structures. Our method-ology is a multi-stage knowledge-based procedure, initialized by detection of the approximate location of the feasible region boundary, followed by a construction of a dimensionali-ty-reduced metamodel, and global optimization thereof; the last stage is miniaturiza-tion-oriented local refinement of geometry parameters. For cost reduction, the first stages of the procedure are realized with the use of low-fidelity EM antenna model. Our approach is verified using four broadband microstrip antennas, and benchmarked against multi-start local search, as well as nature-inspired methods. Superior size reduction rates are demonstrated for all consid-ered cases, while maintaining reasonably low computational costs.
Gospodarka w dobie pandemii Covid-19. Wybrane zagadnienia
- Elżbieta Kacperska
- Krystyna Gomółka
- Piotr Kasprzak
- Łukasiewicz Katarzyna
- Jarosław Wróblewski
2023
Monografia ukazuje problemy gospodarek Polski , Kazachstanu i Ukrainy w okresie pandemii Covid-19 oraz programy naprawcze które podjęły rządy tych państw by zmniejszyć skutki wywołane lockdownem i spowolnieniem gospodarczym.
Grafo-mania, czyli rzecz o grafach i algorytmach. Gry chromatyczne na grafach.
- Marek Kubale
2023 Pismo PG
W minieseju analizujemy grę 2-osobową, polegającą na tym, że Alicja i Bogdan współdziałają by pomalować mapę narysowaną na płaszczyźnie.
Graph Neural Networks and Structural Information on Ionic Liquids: A Cheminformatics Study on Molecular Physicochemical Property Prediction
- Karol Baran
- Adam Kloskowski
2023 Full text JOURNAL OF PHYSICAL CHEMISTRY B
Ionic liquids (ILs) provide a promising solution in many industrial applications, such as solvents, absorbents, electrolytes, catalysts, lubricants, and many others. However, due to the enormous variety of their structures, uncovering or designing those with optimal attributes requires expensive and exhaustive simulations and experiments. For these reasons, searching for an efficient theoretical tool for finding the relationship between the IL structure and properties has been the subject of many research studies. Recently, special attention has been paid to machine learning tools, especially multilayer perceptron and convolutional neural networks, among many other algorithms in the field of artificial neural networks. For the latter, graph neural networks (GNNs) seem to be a powerful cheminformatic tool yet not well enough studied for dual molecular systems such as ILs. In this work, the usage of GNNs in structure–property studies is critically evaluated for predicting the density, viscosity, and surface tension of ILs. The problem of data availability and integrity is discussed to show how well GNNs deal with mislabeled chemical data. Providing more training data is proven to be more important than ensuring that they are immaculate. Great attention is paid to how GNNs process different ions to give graph transformations and electrostatic information. Clues on how GNNs should be applied to predict the properties of ILs are provided. Differences, especially regarding handling mislabeled data, favoring the use of GNNs over classical quantitative structure–property models are discussed.
Graphene Production and Biomedical Applications: A Review
- Klaudia Malisz
- Beata Świeczko-Żurek
2023 Full text Crystals
Graphene is a two-dimensional nanomaterial composed of carbon atoms with sp2 hybrid orbitals. Both graphene and graphene-based composite have gained broad interest among researchers because of their outstanding physiochemical, mechanical, and biological properties. Graphene production techniques are divided into top-down and bottom-up synthesis methods, of which chemical vapor deposition (CVD) is the most popular. The biomedical applications of graphene and its composite include its use in sensors, implantology, and gene and drug delivery. They can be used for tissue engineering, anticancer therapies, and as antimicrobial agents in implant application. The biocompatibility of graphene-based nanomaterials enables their use in the field of biomedicine. This article reviews the properties of graphene, the methods used to produce it, the challenges associated with its use, and the potential applications of this material in biomedicine, regenerative medicine, and drug delivery systems.
Great Resignation and Quiet Quitting as Post-pandemic Dangers to Knowledge Management
- Krzysztof Zięba
2023 Full text
Purpose: COVID-19 pandemic aftermaths include the emergence of new tendencies, such as the Quiet Quitting, and continuation of trends such as the Great Resignation, both of which have multiple knowledge-related impacts on individual, organizational and even national level. The aim of this paper is to show the mechanisms behind the Quiet Quitting and the Great Resignation from individual and organizational perspectives. Understanding them is the first step to developing remedies and building business resilience. Methodology: The paper uses systems thinking approach to analyse the phenomena of the Quiet Quitting. Causal loop diagrams are used to show the mechanisms behind those tendencies, their antecedents and the impact they have on several aspects of business operation and management. Findings: The Quiet Quitting and the Great Resignation are multifaceted phenomena and pose several knowledge-related dangers to organizations, including disturbed knowledge flows, knowledge loss, diminished efficiency, lost informal friendship networks, and knowledge leakage to competition. Causal loop diagram indicates that complicated relations between various elements may produce surprising and unexpected outcomes. It presents also opportunities to use leverage points in order to substantially reduce negative outcomes. Research limitations: The paper is of a conceptual nature. In order to transform causal loop diagrams into full systems thinking models extensive data is required. Hence this paper is intended as a basis for further research. Practical implications: The understanding of mechanisms behind the Great Resignation and the Quiet Quitting is crucial for managers trying to develop strategies that would tackle those problems. The papers shows what leverage points can be used to mitigate risks of their adverse impact on business organizations. Originality/value: The Great Resignation and the Quiet Quitting are often perceived as results of the COVID-19 pandemic, yet data suggest they remain strong also in the post-pandemic business reality. The paper offers a holistic approach to those phenomena using individual and organisational perspectives. It provides important insights into their nature, which can be useful to numerous stakeholders, including knowledge workers, managers and business owners.
Green and Sustainable Membranes: A review
- Navid Rabiee
- Rajni Sharma
- Sahar Foorginezhad
- Maryam Jouyandeh
- Mohsen Asadnia
- Mohammad Rabiee
- Omid Akhavan
- Eder C. Lima
- Krzysztof Formela
- Milad Ashrafizadeh
- Zari Fallah
- Mahnaz Hassanpour
- Abbas Mohammadi
- Mohammad Saeb
2023 Full text ENVIRONMENTAL RESEARCH
Membranes are ubiquitous tools for modern water treatment technology that critically eliminate hazardous materials such as organic, inorganic, heavy metals, and biomedical pollutants. Nowadays, nano-membranes are of particular interest for myriad applications such as water treatment, desalination, ion exchange, ion concentration control, and several kinds of biomedical applications. However, this state-of-the-art technology suffers from some drawbacks, e.g., toxicity and fouling of contaminants, which makes the synthesis of green and sustainable membranes indeed safety-threatening. Typically, sustainability, non-toxicity, performance optimization, and commercialization are concerns centered on manufacturing green synthesized membranes. Thus, critical issues related to toxicity, biosafety, and mechanistic aspects of green-synthesized nano-membranes have to be systematically and comprehensively reviewed and discussed. Herein we evaluate various aspects of green nano-membranes in terms of their synthesis, characterization, recycling, and commercialization aspects. Nanomaterials intended for nano-membrane development are classified in view of their chemistry/synthesis, advantages, and limitations. Indeed, attaining prominent adsorption capacity and selectivity in green-synthesized nano-membranes requires multi-objective optimization of a number of materials and manufacturing parameters. In addition, the efficacy and removal performance of green nano-membranes are analyzed theoretically and experimentally to provide researchers and manufacturers with a comprehensive image of green nano-membrane efficiency under real environmental conditions.
Green Approaches in Rubber Recycling Technologies: Present Status and Future Perspective
- Paulina Wiśniewska
- Józef Haponiuk
- Xavier Colom
- Mohammad Saeb
2023 Full text ACS Sustainable Chemistry & Engineering
As a consequence of massive production and consumption of rubbers, rubber blends, and rubber composites for myriad applications, elastomeric products have enormously accumulated and become an environmental threat. The disposal and burning of rubber wastes have been banned because of environmental and economic reasons. By contrast, a great deal of attention has been directed toward strategies enabling recycling and reuse of rubbers. Basically, conventional recycling methods suffer from several drawbacks such as the formation of dust, fumes, and toxic gases in the air, as well as contamination of underground water resources. Thus, green and sustainable formulations and processing methods nowadays are of priority and importance. Taking advantage of sustainable development horizons, scientific and technological aspects of waste rubber management such as processing techniques, properties of the resulting products, industrial applications, and compatibilization with other materials such as thermoplastics, thermosets, and rubbers are herein reviewed and discussed. A particular emphasis is placed on reactive extrusion as a highly flexible in situ compounding method enabling innovations and taking care of sustainability concerns. Finally, the current status of green rubber recycling and future opening doors ahead of this technology are highlighted.
Green sample preparation 2023
- Francisco Pena-Pereira
- Verónica Pino
- Marek Tobiszewski
- Lorena Vidal
2023 Full text Advances in Sample Preparation
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Green, simple analytical method for total biogenic amines content determination in wine using spectrophotometry
- Kaja Kalinowska
- Marek Tobiszewski
2023 Full text FOOD CHEMISTRY
A simple, green and equitable procedure for total biogenic amines (BAs) content determination was developed. The scientific novelty lies in the use of commercially available S 0378 dye, the reaction of which with BAs results in a colour change of the solution. Sample preparation and analysis were simplified to make the method suitable for routine analyses even in resource-scarce settings. The optimization of the method was carried out using a Box-Behnken response surface design. The developed method has satisfactory figures of merit for putrescine equivalent determination with R2 in the range of 0.9906–0.9933 and recovery between 99.7 and 101.2 %. The method’s greenness was assessed using AGREEprep. Finally, wine samples were analysed to demonstrate the applicability of the developed method.
Greening procedures and analytical parameters. The polychlorinated naphthalenes analysis in complex matrices as proof of concept
- Natalia Jatkowska
- Mariusz Marć
- Miguel De la Guardia
- Daniel Gallart Mateu
- Justyna Płotka-Wasylka
2023 TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Due to the complexity of analytical procedures employed for the determination of wide spectrum of persistent organic pollutants (POPs), it is important to consider the green character of the applied protocols and propose the greenest solutions. In this review, the green aspects of several analytical procedures used for the determination of polychlorinated naphthalenes (PCNs) (as a representatives of POPs) in different types of samples were evaluated using different green analytical tools, the Green Analytical Procedure Index (GAPI) and the Analytical GREEnness Metric Approach for sample preparation (AGREEprep). A clear differences were observed in the increase in greenness of the various stages of the analytical procedure. The extraction, purification as well as the preconcentration of analytes were identified as the most sensitive and most influential stage in terms of greenness, but also in terms of the quality/reliability of the obtained research results by applying a given analytical procedure.
Greenness assessment of analytical methods used for antibiotic residues determination in food samples
- Khrystyna Vakh
- Marek Tobiszewski
2023 TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Food of animal origin plays an important role in ensuring a healthy and sustainable human diet. However, residues of pharmaceuticals, especially antibiotics, can be the cause of many health problems. To protect consumers and improve food quality, analytical methods used to determine contaminants should be simple, selective, and have high throughput and low detection limits. Recently, greenness metric tools have proven useful in evaluating analytical procedures and assessing their impact on the environment and sustainable development. The Analytical GREEnness metric (AGREE) was applied to evaluate the green profile of liquid- and solid-phase extraction procedures used to determine antibiotic residues in food samples. The comparison of the procedures was performed for tetracycline antibiotics, due to their broad application in animal husbandry. The twelve input variables of AGREE were compared for each procedure and the total score was evaluated to show the overall impact into the greenness improvement.
Ground lemon and stevia leaves as renewable functional fillers with antioxidant activity for high-density polyethylene composites
- Mateusz Barczewski
- Joanna Aniśko
- Aleksander Hejna
- Olga Mysiukiewicz
- Paulina Kosmela
- Kamila Sałasińska
- Anna Boczkowska
- Anna Przybylska-balcerek
- Kinga Stuper-szablewska
2023 Full text Clean Technologies and Environmental Policy
The development of new sustainable material solutions in the processing of thermoplastic polymers concerns both the application of biopolymers and the use of valorized plant derivatives as fillers and modifiers of petrochemical polymers. Herein, the possibility of using unprocessed raw parts of two commonly used in the food industry leaves, i.e., lemon (LL) and stevia (ST), as active and functional fillers for high-density polyethylene (HDPE) has been verified. The series of composites containing 1, 2, and 5 wt% of ground leaves produced in the melt-mixing process were analyzed for thermal properties (DSC and TGA), and the antioxidant potential of the fillers was evaluated. Verifying the active effect of the ground leaves on the resistance to oxidation in the molten state was carried out by oxygen induction time (OIT by DSC) analysis and oscillatory rheology under steady-state shear conditions combined with spectroscopic (FTIR) carbonyl index (CI) analysis. Studies have shown that the introduction of 5 wt% of both types of leaves allows for a significant increase in the melt oxidation resistance (above 2 times longer OIT concerning HDPE, ~ 35 min) of composites without substantial changes in their crystalline structure and thermal stability. Determined after the long-term rheological measurements in an oxidative atmosphere CI showed 70 and 82% lower values for 5 wt% LL and ST composites compared to unmodified polyethylene.
Group 11 complexes with a phosphanylphosphaalkene ligand: preparation and stability study
- Aleksandra Ziółkowska
- Natalia Szynkiewicz
- Jacek Ryl
- Łukasz Ponikiewski
2023 DALTON TRANSACTIONS
The reactivities of two selected phosphanylphosphaalkenes, Ph2C=P-PtBu2 (1a) and (p-MeO-Ph)2C=P-PtBu2 (1b), toward CuCl, AgCl and (tht)AuCl (tht = tetrahydrothiophene) were investigated. As a result, new phosphanylphosphaalkene dimeric and monomeric complexes were formed (Cu and Ag dimeric and Au monomeric). All obtained products were air and moisture stable and light insensitive.
GUIDED WAVES IN SHIP STRUCTURAL HEALTH MONITORING – A FEASIBILITY STUDY
- Emil Roch
- Beata Zima
- Krzysztof Wołoszyk
- Yordan Garbatov
2023 Full text Polish Maritime Research
Ships and offshore structures operate in a severe corrosion degradation environment and face difficulty in providing long- lasting corrosion protection. The Classification Societies recommend regular thickness measurements leading to structural component replacements, to ensure structural integrity during service life. The measurements are usually performed using ultrasonic thickness gauges and such an approach requires multiple measurements of the corroded structural components. Otherwise, the collected data are insufficient to precisely assess the corrosion degradation level. This study aims to perform numerical and experimental analyses to verify the use of guided ultrasonic waves in defining the corrosion degradation level of the corroded structural components of a ship. The study incorporates the fundamental antisymmetric Lamb mode, excited by piezoelectric transducers attached at the pre-selected points on stiffened panels, representing typical structural ship components. The specimens are exposed to accelerated marine corrosion degradation, the influence of the degree of degradation on the wave time of flight being analysed. The study indicates that guided waves are a promising approach for diagnosing corroded structural components. The signals characterised by a high signal-to-noise ratio have been captured, even for relatively long distances between the transducers. This proves that the proposed approach can be suitable for monitoring more extensive areas of ship structures by employing a single measurement
H2O˙+ and OH+ reactivity versus furan: experimental low energy absolute cross sections for modeling radiation damage
- Daniela Ascenzi
- Ewa Erdmann
- Paola Bolognesi
- Lorenzo Avaldi
- Mattea Carmen Castrovilli
- Roland Thissen
- Claire Romanzin
- Christian Alcaraz
- Ismanuel Rabadan
- Luis Mendez
- Sergio Díaz-Tendero
- Antonella Cartoni
2023 Full text PHYSICAL CHEMISTRY CHEMICAL PHYSICS
Radiotherapy is one of the most widespread and efficient strategies to fight malignant tumors. Despite its broad application, the mechanisms of radiation-DNA interaction are still under investigation. Theoretical models to predict the effects of a particular delivered dose are still in their infancy due to the difficulty of simulating a real cell environment, as well as the inclusion of a large variety of secondary processes. This work reports the first experimental study of the ion–molecule reactions of the H2O+ and OH+ ions, produced by photoionization with synchrotron radiation, with a furan (c-C4H4O) molecule, a template for deoxyribose sugar in DNA. The present experiments, performed as a function of the collision energy of the ions and the tunable photoionization energy, provide key parameters for the theoretical modelling of the effect of radiation dose, like the absolute cross sections for producing protonated furan (furanH+) and a radical cation (furan+), the most abundant products, which can amount up to 200 Å2 at very low collision energies (o1.0 eV). The experimental results show that furanH+ is more fragile, indicating how the protonation of the sugar component of the DNA may favor its dissociation with possible major radiosensitizing effects. Moreover, the ring opening of furanH+ isomers and the potential energy surface of the most important fragmentation channels have been explored by molecular dynamics simulations and quantum chemistry calculations. The results show that, in the most stable isomer of furanH+, the ring opening occurs via a low energy pathway with carbon–oxygen bond cleavage, followed by the loss of neutral carbon monoxide and the formation of the allyl cation CH2CHCH2 +, which instead is not observed in the fragmentation of furan+. At higher energies the ring opening through the carbon–carbon bond is accompanied by the loss of formaldehyde, producing HCCCH2 +, the most intense fragment ion detected in the experiments. This work highlights the importance of the secondary processes, like the ion–molecule reactions at low energies in the radiation damage due to their very large cross sections, and it aims to provide benchmark data for the development of suitable models to approach this low collision energy range.
Harmonization and Quality Assurance of Income and Wealth Data: The Case of LIS.
- Jorg Neugschwender
- Teresa Munzi
- Piotr Paradowski
2023
Comparability of concepts in survey data harmonization is essential for scientific analyses. LIS – also known as the Luxembourg Income Study or LIS Cross-National Data Center in Luxembourg – acquires and harmonizes income and wealth microdata to provide the scientific community with a comparable database that is unique in the world in its growing temporal and geographic breadth. Over many decades, scholars worldwide have used the LIS and Luxembourg Wealth Study (LWS) databases to compare economic and social policies and their effects on outcomes, including poverty, income inequality, employment, gender inequality, and wealth portfolios. Since source data entering LIS differ substantially in terms of collection mode, type of information collected, level of detail, and structure of the data, this chapter elaborates on the various harmonization efforts at LIS, revolving around the ex-post aspect of harmonization. The discussion of core challenges of ex-post harmonization, LIS guiding principle of operational comparability, documentation, software tools, and quality assurance procedures set in place at LIS is enriched with practical examples. The last section concludes with key lessons learned from nearly 40-years of harmonization of microdata, pointing out to other significant factors, such as the importance of interaction with scholars, data providers, and other experts in the field in order to provide reliable data for cross-national, interdisciplinary research.
HCI-Based Wireless System for Measuring the Concentration of Mining Machinery and Equipment Operators
- Jerzy Jagoda
- Mariusz Woszczyński
- Bartosz Polnik
- Przemysław Falkowski-Gilski
2023 Full text Applied Sciences-Basel
Maintaining stable and reliable working conditions is a matter of vital importance for various companies, especially those involving heavy machinery. Due to human exhaustion, as well as unpredicted hazards and dangerous situations, the personnel has to take actions and wisely plan each move. This paper presents a human–computer interaction (HCI)-based system that uses a concentration level measurement function to increase the safety of machine and equipment operators. The system has been developed in response to the results of user experience (UX) analyses of the state of occupational safety, which indicate that the most common cause of accidents is the so-called insufficient concentration while performing work. The paper presents the reasons for addressing this issue and a description of the proposed electroencephalography (EEG)-based solution in the form of a concentration measurement system concept. We discuss in-field measurements of such a prototype solution, together with an analysis of obtained results. The method of implementing a wireless communication interface is also provided, along with a visualization application.