2022 - Publications Repository - Gdańsk University of Technology

Show publications from the year

Publications from the year 2022

Show all

Low-Molecular Pyrazine-Based DNA Binders: Physicochemical and Antimicrobial Properties
- Paulina Mech-warda
- Giełdoń Artur
- Anna Kawiak
- Natalia Maciejewska
- Mateusz Olszewski
- Mariusz Makowski
- Agnieszka Chylewska
2022 Full text MOLECULES
Pyrazine and its derivatives are a large group of compounds that exhibit broad biological activity, the changes of which can be easily detected by a substituent effect or a change in the functional group. The present studies combined theoretical research with the density functional theory (DFT) approach (B3LYP/6-311+G**) and experimental (potentiometric and spectrophotometric) analysis for a thorough understanding of the structure of chlorohydrazinopyrazine, its physicochemical and cytotoxic properties, and the site and nature of interaction with DNA. The obtained results indicated that 2-chloro-3-hydrazinopyrazine (2Cl3HP) displayed the highest affinity to DNA. Cytotoxicity studies revealed that the compound did not exhibit toxicity toward human dermal keratinocytes, which supported the potential application of 2Cl3HP in clinical use. The study also attempted to establish the possible equilibria occurring in the aqueous solution and, using both theoretical and experimental methods, clearly showed the hydrophilic nature of the compound. The experimental and theoretical results of the study confirmed the quality of the compound, as well as the appropriateness of the selected set of methods for similar research.
Low-Profile Interdigitated UHF RFID Tag Antenna for Metallic Objects
- Fuad Erman
- Dalia Mansour
- Mohammad Kouali
- Arafat Shabaneh
- Leifur Leifsson
- Sławomir Kozieł
- Effariza Hanafi
2022 Full text IEEE Access
This article presents a novel miniature interdigitated ultra-high frequency (UHF) radio frequency identification (RFID) tag antenna that can be placed on metallic objects. The tag structure comprises two horizontal strip lines, each loaded with seven identical open stubs, and an integrated circuit (IC) chip connected directly to the feed lines in the middle of the structure. The perfect match to the IC chip’s impedance is realized by adjusting the length of the loaded open stubs and the spaces between the stubs. Molding the antenna’s geometry can be applied to realize conjugated impedance with any sort of IC chip due to the flexibility of the tag structure. It is fabricated on a Polytetrafluoroethylene (PTFE) slab. Moreover, its structure does not involve any metallic vias or shorting walls, which makes its construction simple and suitable for mass production. The tag of the size of 55.2 mm×44.2 mm×1.5 mm yields a total realized gain of -4.11 dB at the operating frequency while being placed on a 20 cm×20 cm metallic plate. The measured detection distance is 8.14 m on metallic objects. A good match between the measured and simulated results is observed.
Low-Voltage Low-Power Filters with Independent ω0 and Q Tuning for Electronic Cochlea Applications
- Waldemar Jendernalik
- Jacek Jakusz
- Grzegorz Blakiewicz
2022 Full text Electronics
An acoustic second-order low-pass filter is proposed for filter banks emulating the operation of a human cochlea. By using a special filter structure and an innovative quality (Q)-factor tuning technique, an independent change of the cutoff frequency (ω0) and the Q-factor with unchanged gain at low frequencies is achieved in this filter. The techniques applied result in a simple filter design with low Q-factor sensitivity to component mismatch. These filter features greatly simplify the implementation of the electronic cochlea in CMOS technologies. An exemplary filter bank designed and simulated in an X-FAB 180 nm CMOS process is presented, which consumes 1.25–34.75 nW of power per individual filter when supplied with 0.5 V. The 11-channel filter bank covers a 20–20 kHz band, while the Q-factor of each channel can be tuned from 2 to 40. The simulation-predicted sensitivities of Q and ω0 to process/voltage/temperature (PVT) variations are less than 1%. The input-referred noise is no greater than 22 μVRMS, and the dynamic range is at least 68 dB for all filters in the bank.
LTE and NB-IoT Performance Estimation Based on Indicators Measured by the Radio Module
- Robert Burczyk
- Agnieszka Czapiewska
- Małgorzata Gajewska
- Sławomir Gajewski
2022 Full text Electronics
Monitoring the operating parameters of power grids is extremely important for their proper functioning as well as for ensuring the security of the entire infrastructure. As the idea of the Internet of Things becomes more ubiquitous, there are tools for monitoring the state of the complex electrical grid and means to control it. There are also developed new measuring devices and transmission technologies allowing for the transfer of performed measurements from many places to the network management center. However, there are still no devices that act as data concentrators, which would integrate many transmission technologies and protocols in one device, supporting the communication between those different transmission technologies and which would realize edge computing to assist the management center by prioritizing and combining transmitted data. In this article, the authors present a device that meets the above-mentioned requirements. There are presented research results leading to the development of a decision algorithm, called Multilink—ML, dedicated to the presented device. This algorithm enables the selection between LTE and NB-IoT interfaces for packet transmission without the need to burden the communication system with additional transmissions.
Machine learning applied to acoustic-based road traffic monitoring
- Karolina Marciniuk
- Bożena Kostek
2022 Full text
The motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic detector are briefly described. Principles of several machine learning algorithms, data acquisition process, information about the dataset built are explained. The study is conducted using the audio recordings prepared by the authors, registered in several locations and different meteorological conditions of the road surface. For each recording containing a single-vehicle passage, a vector of 67 parameters extracted from the audio signal is calculated. Fisher Linear Discriminant Analysis and Regression Analysis, the fastest among algorithms employed, return the following values of accuracy: 0.968 and 0.978, precision: 0.919 and 0.853, recall: 0.882 and 0.974, and F-score: 0.898 and 0.868 for vehicle type classification. In the case of the road pavement conditions, the obtained metrics are as follows: accuracy of 0.933, precision of 0.898, recall of 0.9, and F-score of 0.884.
Machine learning applied to acoustic-based road traffic monitoring
- Karolina Marciniuk
- Bożena Kostek
2022 Full text Procedia Computer Science
The motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic detector are briefly described. Principles of several machine learning algorithms, data acquisition process, and information about the dataset built are explained. The study is conducted using the audio recordings prepared by the authors, registered in several locations and under different meteorological conditions of the road surface. For each recording containing a single-vehicle passage, a vector of 67 parameters extracted from the audio signal is calculated. Fisher Linear Discriminant Analysis and Regression Analysis, the fastest among algorithms employed, return the following values of accuracy: 0.968 and 0.978, precision: 0.919 and 0.853, recall: 0.882 and 0.974, and F1-score: 0.898 and 0.868 for vehicle type classification. In the case of the road pavement conditions, the obtained metrics are as follows: accuracy of 0.933, precision of 0.898, recall of 0.9, and F1-score of 0.884.
Machine-aided detection of SARS-CoV-2 from complete blood count
- Barbara Klaudel
- Aleksander Obuchowski
- Małgorzata Dąbrowska
- Kornelia Sałaga-zaleska
- Zdzisław Kowalczuk
2022
The current gold standard for SARS-CoV-2 detection methods lacks the functionality to perform population screening. Complete blood count (CBC) tests are a cost-effective way to reach a wide range of people – e.g. according to the data of the Central Statistical Office of Poland from 2016, there are 3,000 blood diagnostic laboratories in Poland, and 46% of Polish people have at least one CBC test per year. In our work, we show the possibility of machine detection of SARS-CoV-2 virus on the basis of routine blood tests. The role of the model is to facilitate the screening of SARS-CoV-2 in asymptomatic patients or in the incubation phase. Early research suggests that asymptomatic patients with COVID-19 may develop complications of COVID-19 (e.g., a type of lung injury). The solution we propose has an F1 score of 87.37%. We show the difference in the results obtained on Polish and Italian data sets, challenges in cross-country knowledge transfer and the selection of machine learning algorithms. We also show that CBC-based models can be a convenient, cost-effective and accurate method for the detection of SARS-CoV-2, however, such a model requires validation on an external cohort before being put into clinical practice.
Magazynowanie ciepła i energia odpadowa
- Tomasz Minkiewicz
2022
Przedstawiono technologie magazynowania ciepła, opisano wybrane konstrukcje magazynów ciepła i ich zasadę działania, zdefiniowano pojęcie energii odpadowej oraz wskazano wybrane urządzenia i układy służące do odzyskiwania energii cieplnej.
Magnetic deep eutectic solvents – Fundamentals and applications
- Patrycja Makoś-Chełstowska
- Massoud Kaykhaii
- Justyna Płotka-Wasylka
- Miguel de la Guardia
2022 Full text JOURNAL OF MOLECULAR LIQUIDS
Magnetic deep eutectic solvents (MDES), a relatively new subclass of conventional deep eutectic solvents (DES) containing additional paramagnetic components in their structure. MDES exhibit a strong response toward external magnetic fields, thus they can improve many industrial and analytical applications. In addition, this new group of solvents present unique physicochemical properties that can be easily tuned by selecting the appropriate ingredients for MDES synthesis. Therefore, the reported studies on properties and applications have increased in recent years. This review highlights the structures and mechanism of MDES formation, methods of synthesis, basic physicochemical properties, including melting point/freezing point, decomposition temperature, magnetic susceptibility, dynamic viscosity, density, ionic conductivity surface tension, toxicity, and hydrophobic/hydrophilic character, together with current application in analytical and industrial methods/procedures. Moreover, advantages, limitations, and future perspectives of the application MDES are critically discussed. We hope that this review will inspire many new perspectives and developments in the field of MDES applications.
Magnetic nanocomposites for biomedical applications
- Mina Naghdi
- Mahsa Ghovvati
- Navid Rabiee
- Sepideh Ahmadi
- Nikzad Abbariki
- Soheil Sojdeh
- Amirhossein Ojaghi
- Mojtaba Bagherzadeh
- Omid Akhavan
- Esmaeel Sharifi
- Mohammad Rabiee
- Mohammad Saeb
- Keivan Bolouri
- Thomas J. Webster
- Ehsan Nazarzadeh Zare
- Ali Zarrabi
2022 ADVANCES IN COLLOID AND INTERFACE SCIENCE
Tissue engineering and regenerative medicine have solved numerous problems related to the repair and regeneration of damaged organs and tissues arising from aging, illnesses, and injuries. Nanotechnology has further aided tissue regeneration science and has provided outstanding opportunities to help disease diagnosis as well as treat damaged tissues. Based on the most recent findings, magnetic nanostructures (MNSs), in particular, have emerged as promising materials for detecting, directing, and supporting tissue regeneration. There have been many reports concerning the role of these nano-building blocks in the regeneration of both soft and hard tissues, but the subject has not been extensively reviewed. Here, we review, classify, and discuss various synthesis strategies for novel MNSs used in medicine. Advanced applications of magnetic nanocomposites (MG-NCs), specifically magnetic nanostructures, are further systematically reviewed. In addition, the scientific and technical aspects of MG-NC used in medicine are discussed considering the requirements for the field. In summary, this review highlights the numerous opportunities and challenges associated with the use of MG-NCs as smart nanocomposites (NCs) in tissue engineering and regenerative medicine.
Magnetic properties of α-KCoPO4 compound with a chiral polar crystal structure
- Jędrzej Kondek
- Sandra Szczupaczyńska-Zalewska
- Michał Winiarski
2022 Full text JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
We have obtained polycrystalline samples of a metastable α variant of KCoPO4 by low temperature (350–400 °C) solid state metathesis reaction of potassium oxalate and ammonium cobalt orthophosphate. The material crystallizes in a polar chiral structure (sg. P63, no. 173). Measurements of magnetic properties reveal antiferromagnetic interactions and no ordering observed down to T = 1.9 K, well below the Weiss temperature |Θcw| = 13.9 K.
Magnetic Signature Description of Ellipsoid-Shape Vessel Using 3D Multi-Dipole Model Fitted on Cardinal Directions
- Jarosław Tarnawski
- Tomasz Rutkowski
- Mirosław Wołoszyn
- Adam Cichocki
- Krystian Buszman
2022 Full text IEEE Access
The article presents a continuation of the research on the 3D multi-dipole model applied to the reproduction of magnetic signatures of ferromagnetic objects. The model structure has been modified to improve its flexibility - model parameters determined by optimization can now be located in the cuboid contour representing the object's hull. To stiffen the model, the training dataset was expanded to data collected from all four cardinal directions. The robustness of the modified multi-dipole model was verified with various noise levels applied to the synthetic data. A comprehensive numerical verification of the proposed methodology was performed using only data not involved in determining the modified multi-dipole model parameters: the data from intercardinal directions and from different depth were used for cross-validation. An analysis of the influence of initial conditions on the optimization process was carried out. In addition to the gradient optimization method, an evolutionary strategy was also used. Regularization was carried out to search for effective model parameterization. New verification methods were also applied based on the balance of magnetic moments and on the average width of the fit error interval. The results of the performed experiments have shown high robustness of the modified multi-dipole model, even in the face of high noise in the input data. The most significant advantage of the model is its predictive ability, enabling determination of magnetic signatures in any directions and depths with high accuracy.
Magnetically sensitive fiber probe with nitrogen-vacancy center nanodiamonds integrated in a suspended core
- Adam Filipkowski
- Mariusz Mrózek
- Grzegorz Stępniewski
- Maciej Głowacki
- Dariusz Pysz
- Wojciech Gawlik
- Ryszard Buczyński
- Mariusz Klimczak
- Adam M. Wojciechowski
2022 Full text OPTICS EXPRESS
Efficient collection of photoluminescence arising from spin dynamics of nitrogen vacancy (NV) centers in diamond is important for practical applications involving precise magnetic field or temperature mapping. These goals may be realized by the integration of nanodiamond particles with optical fibers and volumetric doping of the particles alongside the fiber core. That approach combines the advantages of robust axial fixation of NV diamonds with a direct spatial overlap of their fluorescence with the guided mode of the fiber. We developed a suspended core silicate glass fiber with 750 nm-diameter nanodiamonds located centrally in the 1.5 μm-core cross-section along its axis. The developed fiber probe was tested for its magnetic sensing performance in optically detected magnetic resonance measurements using a 24 cm-long fiber sample, with the NV excitation and fluorescence collection from the far ends of the sample and yielding optical readout contrast of 7% resulting in 0.5 μT·Hz−1/2 magnetic field sensitivity, two orders of magnitude better than in earlier designs. Thanks to its improved fluorescence confinement, the developed probe could find application in magnetic sensing over extended fiber length, magnetic field mapping or gradiometry.
Mainstream shortcut N removal modeling current status and perspectives
- Gamze Kirim
- Kester Mccullough
- Thiago Bressani-ribeiro
- Carlos Domingo-félez
- Haoran Duan
- Ahmed Al-omari
- Haydee Clippeleir De
- Jose Jimenez
- Stephanie Klaus
- Mojooulo Ladipo-obasa
- Mohammad Javad Mehrani
- Pusker Regmi
- Elena Torfs
- Evelina I. P. Volcke
- Peter Vanrolleghem A.
2022 Full text WATER SCIENCE AND TECHNOLOGY
This work gives an overview of the state-of-the-art in modelling of short-cut processes for nitrogen removal in mainstream wastewater treatment and presents future perspectives for directing research efforts in line with the needs of practice. The modelling status for deammonification (i.e., anammox-based) and nitrite-shunt processes is presented with its challenges and limitations. The importance of mathematical models for considering N2O emissions in the design and operation of short-cut nitrogen removal processes is considered as well. Modelling goals and potential benefits are presented and the needs for new and more advanced approaches are identified. Overall, this contribution presents how existing and future mathematical models can accelerate successful full-scale mainstream short-cut nitrogen removal applications.
Managing Unemployment under COVID-19 Conditions (States of Emergency or Crisis)
- Przemysław Banasik
- Sylwia Morawska
- Małgorzata Porada - Rochoń
- Iga Rudawska
- Małgorzata Godlewska
- Barbara Kryk
- Daria Jaskuła
- Natalia Skalska
2022 Full text
Rising unemployment is one of the consequences of the COVID-19 pandemic in many countries. This, in turn, has forcedpolicymakers to respond immediately with policy tools to minimize unemployment. The purpose of our study is to contribute toempirical knowledge by looking at activities of 40 local government units to counteract unemployment in the cross-border regionon the Polish side. In doing this, our study contributes to the efforts to manage unemployment in times of COVID-19 and othercrisis situations. The results show that most of the rural and rural-urban communes did not undertake diagnostic activities thatwould allow one to identify the economic sectors most affected by changes related to the COVID-19 pandemic, e.g., reduction inthe number of employees, suspension, or liquidation of activities. According to LGUs surveyed, companies operating in rural-urban communes applied much more frequently for support for job protection in connection with the COVID-19 pandemic thancompanies located in rural communes.The COVID-19 pandemic demonstrated the crucial role of LGUs in overcoming its impacts. The empirical results of this study(in-depth interviews) indicate that policy makers should pay more attention to consolidating or strengthening the role of LGUs innational disaster management and provide them with the competencies and resources necessary to deal with emergencies (inparticular, they concern strengthening cooperation and coordination with other levels of government, effective communicationand sharing of good practices also in cross-border areas). It would strengthen decision support systems (DSS) in the regions.
Manifesto [Intellectual Output 5] for High-quality Baukultur in the Digital Age
- Justyna Borucka
- Annette Boegle
- Uģis Bratuškins
- Günther H. Filz
- Anna Kaczorowska
- Dorota Kamrowska-Załuska
- Małgorzata Kostrzewska
- Olga Popovic Larsen
- Roode Liias
- Bartosz Macikowski
- Karl-Gunner Olsson
- Emiliya Popova
- Raido Puust
- Sandra Treija
- Lotte Bjerregaard Jensen
2022
The aim of the Manifesto is to extract the most important messages of the work on the BuildDigiCraft project and to translate them into a public declaration of views, intentions and policy recommendations directed at the academic, professional and policy-making community responsible for the shaping of the built environment (on local, regional, national and European/international level). With the BuildDigiCraft Manifesto the project partners have created a shared official statement on the future of Baukultur in the Digital Age.
Marcinkiewicz Averages of Smooth Orthogonal Projections on Sphere
- Marcin Bownik
- Karol Dziedziul
- Anna Kamont
2022 Full text JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS
We construct a single smooth orthogonal projection with desired localization whose average under a group action yields the decomposition of the identity operator. For any full rank lattice \Gamma ⊂ R^d , a smooth projection is localized in a neighborhood of an arbitrary precompact fundamental domain R^d / \Gamma. We also show the existence of a highly localized smooth orthogonal projection, whose Marcinkiewicz average under the action of S O(d), is a multiple of the identity on L^2(S^{d−1}). As an application we construct highly localized continuous Parseval frames on the sphere.
Market Regeneration in Line with Sustainable Urban Development
- Justyna Borucka
- Piotr Czyż
- Giorgio Gasco
- Weronika Mazurkiewicz
- Dorota Nałęcz
- Marcin Szczepański
2022 Full text Sustainability
This article presents the study of the optimal design solutions for regeneration of marketplaces. It examines the design variants for the revitalisation of the marketplace, in particular, investment in their modernisation in order to find the most optimal model for transforming these public spaces to have a significant impact on the city’s development. The research is a comparative analysis of the implementation of regeneration design models on the marketplace within the Oliwa district of Gdansk (Poland).The data for the case study design models includes analysis based on various optimisation criteria, taking into account the urban and economic aspects of the city landscape when selecting a specific space revitalisation design model. The implementation of regeneration investment includes a number of complex processes that must be sustainable and so require rational social and spatial planning, as well as proper organisation in terms of cost and time.
Matematyczny świat wirusów i bakterii
- Agnieszka Bartłomiejczyk
2022
Kiedyś, mówiąc o zastosowaniach matematyki, przychodziła nam na myśl głównie fizyka. Dziś wiemy, że matematyka ma ważne zastosowania również w biologii i medycynie. To, jak szybko rozwijają się bakterie i wirusy oraz jak szybko odpowiada na ich obecność nasz układ odpornościowy, można opisać językiem matematyki. Głównym narzędziem służącym do opisu tempa zmiany interesującej nas wielkości jest pochodna. Dzięki pochodnej możemy przewidzieć wzrost lub spadek liczby zachorowań, np. na grypę czy COVID-19, co pozwala nam na podjęcie skutecznych działań zapobiegających rozwojowi pandemii.
Mater-Bi/Brewers’ Spent Grain Biocomposites—Novel Approach to Plant-Based Waste Filler Treatment by Highly Efficient Thermomechanical and Chemical Methods
- Aleksander Hejna
- Mateusz Barczewski
- Paulina Kosmela
- Olga Mysiukiewicz
- Paweł Sulima
- Jerzy Andrzej Przyborowski
- Daria Kowalkowska-Zedler
2022 Full text Materials
Thermoplastic starch (TPS) is a homogenous material prepared from native starch and water or other plasticizers subjected to mixing at a temperature exceeding starch gelatinization temperature. It shows major drawbacks like high moisture sensitivity, poor mechanical properties, and thermal stability. To overcome these drawbacks without significant cost increase, TPS could be blended with bio-based or biodegradable polymers and filled with plant-based fillers, beneficially waste-based, like brewers’ spent grain (BSG), the main brewing by-product. Filler modifications are often required to enhance the compatibility of such composites. Herein, we investigated the impact of BSG thermomechanical and chemical treatments on the structure, physical, thermal, and rheological performance of Mater-Bi-based composites. Thermomechanical modifications enhanced matrix thermal stability under oxidative conditions delaying degradation onset by 33 ◦C. Moreover, BSG enhanced the crystallization of the polybutylene adipate terephthalate (PBAT) fraction of Mater-Bi, potentially improving mechanical properties and shortening processing time. BSG chemical treatment with isophorone diisocyanate improved the processing properties of the composites, expressed by a 33% rise in melt flow index. Depending on the waste filler’s selected treatment, processing, and rheological performance, thermal stability or interfacial adhesion of composites could be enhanced. Moreover, the appearance of the final materials could be adjusted by filler selection.