2021 - Repozytorium publikacji - Politechnika Gdańska

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Additive Effect of Bromides and Chlorides on the Performance of Perovskite Solar Cells Fabricated via Sequential Deposition
- Jędrzej Szmytkowski
- Damian Głowienka
- Manon Verger
- Harrie Gorter
- Ilker Dogan
- Wiljan Verhees
- Mehrdad Najafi
- Sjoerd Veenstra
- Yulia Galagan
2021 Pełny tekst JOURNAL OF POWER SOURCES
A two-step sequential deposition method has been applied to prepare the solar cells with two types of perovskites Cs0.15FA0.85Pb(I0.95Cl0.05)3 and Cs0.15FA0.85Pb(I0.95Br0.05)3. In order to obtain the perovskite layers, the different sources of bromine and chlorine atoms were used for synthesis. The performance and time stability of chloride-based photocells are worse in comparison to the bromide-based devices. It can be explained by the effect of an accumulation of Cl atoms at the interfaces between the chloride-based perovskites and the layer of PCBM. Such a process causes an increasing of interface recombination. Also, the bulk density of states and, consequently, the bulk recombination of charge carriers seem to be higher for the perovskite layers obtained with chlorine atoms. The two-step technique applied to create the bromide perovskites less influences the photocells performance as in the case of one-step deposition. We can explain this observation by an existence of nucleation sites in the inorganic layer which improve the growth of a perovskite material.
Adsorption onto zeolites: molecular perspective
- Azam Salmankhani
- Farzad Seidi
- Amin Hamed Mashhadzadeh
- Payam Zarrintaj
- Sajjad Habibzadeh
- Ahmad Mohaddespour
- Navid Rabiee
- Eder C. Lima
- Mohammadreza Shokouhimehr
- Rajender S. Varma
- Mohammad Saeb
2021 CHEMICAL PAPERS
2D minerals are among key elements of advanced systems, but the need for understanding their interactions/reactions with materials and systems in which they are involved necessitates tracking their molecular and atomic monitoring. Zeolitic structures are microporous materials formed in the nature through volcanic activities or synthesis. Because of their outstanding physicochemical properties like cation exchange capacity and excellent adsorption properties, zeolites have found application in diverse chemical processes, e.g., gas adsorption, water purification, and wastewater treatment. Prediction of zeolite performance for a targeted application saves time and expense as such projection could lead to the synthesis of optimum zeolite with adjusted properties. This review paper aims at encapsulating the latest findings on the use of 2D zeolite adsorbents studying three eminent molecular simulation techniques, namely molecular dynamics simulation, density functional theory, and Monte Carlo. Zeolites with precision structures and cost-efficiency for adsorption together with their adsorption capacity were correspondingly discussed in this review. Information gleaned from published reports on simulating zeolites’ adsorption properties could bridge with a brief comparison between the techniques mentioned to pave the way for scientists and industries to find the ideal method to predict zeolites performance and select the appropriate zeolite structure for the on-demand application.
Advanced sensitivity analysis of the impact of the temporal distribution and intensity of rainfall on hydrograph parameters in urban catchments
- Francesco Fatone
- Bartosz Szeląg
- Adam Kiczko
- Dariusz Majerek
- Monika Majewska
- Jakub Drewnowski
- Grzegorz Łagód
2021 Pełny tekst HYDROLOGY AND EARTH SYSTEM SCIENCES
Knowledge of the variability of the hydrograph of outflow from urban catchments is highly important for measurements and evaluation of the operation of sewer networks. Currently, hydrodynamic models are most frequently used for hydrograph modeling. Since a large number of their parameters have to be identified, there may be problems at the calibration stage. Hence, sensitivity analysis is used to limit the number of parameters. However, the current sensitivity analytical methods ignore the effect of the temporal distribution and intensity of precipitation in a rainfall event on the catchment outflow hydrograph. This article presents a methodology of constructing a simulator of catchment outflow hydrograph parameters (volume and maximum flow). For this purpose, uncertainty analytical results obtained with the use of the GLUE (generalized likelihood uncertainty estimation) method were used. A novel analysis of the sensitivity of the hydrodynamic catchment models was also developed, which can be used in the analysis of the operation of stormwater networks and underground infrastructure facilities. Using the logistic regression method, an innovative sensitivity coefficient was proposed to study the impact of the variability of the parameters of the hydrodynamic model depending on the distribution of rainfall, the origin of rainfall (on the Chomicz scale), and the uncertainty of the estimated simulator coefficients on the parameters of the outflow hydrograph. The developed model enables the analysis of the impact of the identified SWMM (Storm Water Management Model) parameters on the runoff hydrograph, taking into account local rainfall conditions, which have not been analyzed thus far. Compared with the currently developed methods, the analyses included the impact of the uncertainty of the identified coefficients in the logistic regression model on the results of the sensitivity coefficient calculation. This aspect has not been taken into account in the sensitivity analytical methods thus far, although this approach evaluates the reliability of the simulation results. The results indicated a considerable influence of rainfall distribution and intensity on the sensitivity factors. The greater the intensity and rainfall were, the lower the impact of the identified hydrodynamic model parameters on the hydrograph parameters.
Advanced Ship Control Methods
- Roman Śmierzchalski
- Agnieszka Witkowska
2021
The chapter presents two main streams of research in vessel control at sea: dynamic positioning (DP) of the vessel and decision support in case of collision at sea. The control structure and basic requirements for the DP system are defined. Selected issues of automatic control of a dynamically positioned vessel are discussed. A review of advanced methods of controlling a DP ship is carried out, taking into account the tasks of particular subsystems. In the scope of decision support, the issue of collision avoidance at sea is discussed. This problem is defined as a dynamic multi-criteria optimization task which consists in looking for effective solutions that meet specific criteria within a set of acceptable solutions. To solve this problem, the evolutionary method of path planning is used.
Advanced super-hydrophobic polymer-based porous absorbents for the treatment of oil-polluted water
- Lech Rowiński
2021 CHEMOSPHERE
The threat of environmental pollution caused by spilled oil is rapidly increasing along with the expansion of oil exploration, the development of maritime activities and industrial growth. Oil spill incidents usually affect seriously the ecosystem and human life. Therefore, the treatment and recovery of the oil spill have been considered as an ultra-important issue to protect the environment and to minimize its negative impacts on socio-economic activities. Among methods of oil spill recovery, porous materials have emerged as potential absorbents possessing the capacity of absorbing spilled oil at a fast rate, high adsorption capacity, good selectivity, and high reusability. In this review paper, two types of polymer-based porous absorbents modified surface and structure were introduced for the treatment strategy of the oil-polluted water. In addition, the absorption mechanism and factors affecting the adsorption capacity for oils and organic solvents were thoroughly analyzed. More importantly, characteristics of polymer-based porous materials were discussed in detail based on microstructure analysis, absorption efficiency, and reusability. In general, this paper has provided an overview and a comprehensive assessment of the use of advanced polymer-based porous materials for the treatment of oil-polluted water, although the impacts of environmental factors such as wind, wave, and temperature should be further investigated in the future.
ADVANCES IN MATERIALS SCIENCE EDITORIAL ON THE JOURNAL'S 20th ANNIVERSARY
- Jerzy Łabanowski
- Dariusz Fydrych
2021 Pełny tekst Advances in Materials Science
Editorial on the occasion of the 20th anniversary of Advances in Materials Science journal.
Aiming at methods’ wider adoption: Applicability determinants and metrics
- Rafał Leszczyna
2021 Pełny tekst Computer Science Review
Numerous computer science methods and techniques have been proposed by the scientific community. However, depending on the domain, only their minor fraction has met wider adoption. This paper brings attention to the concept of applicability - the notion that is well acknowledged in the scientific field but have not been analysed with respect to determinants, metrics and systematisation. The primary objective of the study was to identify applicability determinants and metrics and consolidate them into a taxonomy, based on a systematic process. To achieve the objective, a methodological literature review supported with operationalisation activities were applied. As a result, more than thirty descriptors of applicability were introduced in the proposed applicability taxonomy, and a similar number of metrics has been elicited. Based on them, a questionnaire for evaluation of the method's applicability was created and applied to the evaluation of a currently developed cybersecurity risk assessment method that aims at broader market uptake. The analysis provided indications on its further developments, but also findings of a more universal character.
Aktualne trendy i rekomendacje w zakresie usuwania mikrozanieczyszczeń należących do farmaceutyków i pestycydów ze ścieków komunalnych
- Przemysław Kowal
- Dominika Grubba
- Jacek Mąkinia
2021 Forum Eksploatatora
Mikrozanieczyszczenia, przede wszystkim pestycydy oraz farmaceutyki, zyskują coraz większe zainteresowanie zarówno ze strony środowiska naukowego, administracji publicznej, jak również międzynarodowych organizacji rządowych i pozarządowych. W ostatnich latach jest obserwowany stały wzrost stężeń mikrozanieczyszczeń zarówno w glebie, jak i środowisku wodnym. Szczególne zagrożenie płynące ze strony pestycydów i farmaceutyków wynika z powszechności ich stosowania.
Aktualne wymagania w zakresie ochrony przeciwporażeniowej w instalacjach niskiego napięcia
- Stanisław Czapp
2021
W referacie zaprezentowano główne zasady związane z projektowaniem ochrony przeciwporażeniowej w instalacjach niskiego napięcia oraz sprawdzaniem jej stanu. Przedstawiono również podstawy ochrony przeciwporażeniowej w instalacjach ładowania pojazdów elektrycznych oraz w instalacjach niskiego napięcia zlokalizowanych w strefie oddziaływania kolejowej sieci trakcyjnej.
Algorithmic Human Resources Management - Perspectives and Challenges
- Łukasz Sienkiewicz
2021 Pełny tekst Annales Universitatis Mariae Curie-Skłodowska, Sectio H Oeconomia
Theoretical background: Technology – most notably processes of digitalisation, the use of artificial intelligence, machine learning, big data and prevalence of remote work due to pandemic – changes the way organizations manage human resources. One of the increasing trends is the use of so-called “algorithmic management”. It is notably different than previous e-HRM or HRIS (human resources information systems) applications, as it automates HR-related duties. Algorithms, being autonomous computational formulae, are considered objective and mathematically correct decision-making mechanisms. Limiting human involvement and oversight of the labour process might lead to serious ethical and managerial challenges. Many areas – previously being sole responsibility of managers (including HR managers), like employment relations, hiring, performance management, remuneration – are increasingly affected, or even taken over, by algorithmic management. Purpose of the article: The purpose of this article is to review the development, perspectives and challenges (including possible biases and ethical considerations) of algorithmic human resources management. This novel approach is fuelled by the speeding processes of digitalisation, the use of artificial intelligence, big data and increased analytical capabilities and applications used by contemporary companies. Algorithms are formulas that autonomously make decisions based on statistical models or decision rules without human intervention. Therefore, the use of algorithmic HRM automates decision-making processes and duties of human resources managers, thereby limiting human involvement and oversight, which can have negative consequences for the organization. Research methods: The article provides a critical literature review of theoretical sources and empirical evidence on the application of algorithmic human resources management practices. Scientific journals in the field of human resources management and technology applications have been reviewed, as well as research reports from academic institutions and renowned international organizations.
All-gather Algorithms Resilient to Imbalanced Process Arrival Patterns
- Jerzy Proficz
2021 Pełny tekst ACM Transactions on Architecture and Code Optimization
Two novel algorithms for the all-gather operation resilient to imbalanced process arrival patterns (PATs) are presented. The first one, Background Disseminated Ring (BDR), is based on the regular parallel ring algorithm often supplied in MPI implementations and exploits an auxiliary background thread for early data exchange from faster processes to accelerate the performed all-gather operation. The other algorithm, Background Sorted Linear synchronized tree with Broadcast (BSLB), is built upon the already existing PAP-aware gather algorithm, that is, Background Sorted Linear Synchronized tree (BSLS), followed by a regular broadcast distributing gathered data to all participating processes. The background of the imbalanced PAP subject is described, along with the PAP monitoring and evaluation topics. An experimental evaluation of the algorithms based on a proposed mini-benchmark is presented. The mini-benchmark was performed over 2,000 times in a typical HPC cluster architecture with homogeneous compute nodes. The obtained results are analyzed according to different PATs, data sizes, and process numbers, showing that the proposed optimization works well for various configurations, is scalable, and can significantly reduce the all-gather elapsed times, in our case, up to factor 1.9 or 47% in comparison with the best state-of-the-art solution.
Amberlyst-15 catalysed synthesis of novel indole derivatives under ultrasound irradiation: Their evaluation as serotonin 5‑HT2C receptor agonists
- Kazi Hossain
- Manojit Pal
2021 Pełny tekst BIOORGANIC CHEMISTRY
A series of indole based novel Schiff bases was designed as potential agonists of 5‑HT2C receptor that was supported by docking studies in silico. These compounds were synthesized via Amberlyst-15 catalysed condensation of an appropriate pyrazole based primary amine with the corresponding indole-3-aldehyde under ultrasound irradiation at ambient temperature. A number of target Schiff bases were obtained in good yields (77-87%) under mild conditions within 1 h. Notably, the methodology afforded the corresponding pyrazolo[4,3-d]pyrimidin-7(4H)-one derivatives when the primary amine was replaced by a secondary amine. Several Schiff bases showed agonist activity when tested against human 5-HT2C using luciferase assay in HEK293T cells in vitro. The SAR (Structure-Activity-Relationship) studies suggested that the imine moiety was more favorable over its cyclic form i.e. the corresponding pyrazolopyrimidinone ring. The Schiff bases 3b (EC50 1.8 nM) and 3i (EC50 5.7 nM) were identified as the most active compounds and were comparable with Lorcaserin (EC50 8.5 nM). Also like Lorcaserin, none of these compounds were found to be PAM of 5-HT2C. With ~24 and ~150 fold selectivity towards 5-HT2C over 5-HT2A and 5-HT2B respectively the compound 3i that reduced locomotor activity in zebrafish (Danio rerio) larvae model emerged as a promising hit molecule for further study.
Ambisoniczna mapa wybranych miejsc w Trójmieście z obrazem 360°
- Cezary Pietrzak
- Piotr Odya
2021
W projekcie, który zostanie opisany w niniejszym rozdziale, założonym celem było stworzenie ambisonicznej mapy Trójmiasta w formie aplikacji internetowej. Materiały wideo w technologii 360° z dźwiękiem w postaci sygnału ambisonicznego zostały zarejestrowane w wybranych lokalizacjach uznanych za charakterystyczne dla tej aglomeracji. Celem badawczym projektu było porównanie dostępnych algorytmów miksowania sygnałów ambisonicznych przez przeprowadzenie testów odsłuchowych. Wykonano test porównań parami, aby uzyskać informacje o preferencjach odnośnie do występowania w nagraniach ambisonicznych dodatkowego podkładu stereo oraz jego poziomu głośności. W drugim z testów zbadano, jaki wpływ na odbiór nagrania ambisonicznego ma sposób oraz stopień jego przetwarzania. Wnioski z analizy wyników obu testów posłużyły jako wskazówki przy postprodukcji nagrań. Otrzymane materiały zostały zamieszczone na interaktywnej mapie w aplikacji internetowej.
Amino Acid and Peptide‐Based Antiviral Agents
- Andrzej Skwarecki
- Michał Nowak
- Maria Milewska
2021 CHEMMEDCHEM
A significant number of antiviral agents used in clinical practice are amino acids, short peptides, or peptidomimetics. Among them, several HIV protease inhibitors (e. g. lopinavir, atazanavir), HCV protease inhibitors (e. g. grazoprevir, glecaprevir), and HCV NS5A protein inhibitors have contributed to a significant decrease in mortality from AIDS and hepatitis. However, there is an ongoing need for the discovery of new antiviral agents and the development of existing drugs; amino acids, both proteinogenic and non-proteinogenic in nature, serve as convenient building blocks for this purpose. The synthesis of nonproteinogenic amino acid components of antiviral agents could be challenging due to the need for enantiomerically or diastereomerically pure products. Herein, we present a concise review of antiviral agents whose structures are based on amino acids of both natural and unnatural origin. Special attention is paid to the synthetic aspects of non-proteinogenic amino acid components of those agents.
Amino Acid Based Antimicrobial Agents – Synthesis and Properties
- Michał Nowak
- Andrzej Skwarecki
- Maria Milewska
2021 Pełny tekst CHEMMEDCHEM
Structures of several dozen of known antibacterial, antifungal or antiprotozoal agents are based on the amino acid scaffold. In most of them, the amino acid skeleton is of a crucial importance for their antimicrobial activity, since very often they are structural analogs of amino acid intermediates of different microbial biosynthetic pathways. Particularly, some aminophosphonate or aminoboronate analogs of protein amino acids are effective enzyme inhibitors, as structural mimics of tetrahedral transition state intermediates. Synthesis of amino acid antimicrobials is a particular challenge, especially in terms of the need for enantioselective methods, including the asymmetric synthesis. All these issues are addressed in this review, summing up the current state-of-the-art and presenting perspectives fur further progress.
AMO perspectives on the well-being of neurodivergent human capital
- Joanna Maria Szulc
- Julie Davies
- Michał Tomasz Tomczak
- Frances Mcgregor
2021 Pełny tekst Employee Relations
Existing management research and management practices frequently overlook the relationship between the above-average human capital of highly functioning neurodivergent employees, their subjective well-being in the workplace and performance outcomes. This paper calls for greater attention to the hidden human capital associated with neurodiversity by mainstreaming implementation of neurodiversity-friendly policies and practices. Drawing on the ability, motivation and opportunity (AMO) framework, this conceptual paper integrates research on employee neurodiversity and well-being to provide a model of HR-systems level and human capital development policies, systems and practices for neurodivergent minorities in the workplace. This paper illustrates that workplace neurodiversity, like biodiversity, is a natural phenomenon. For subjective individual psychological and organisational well-being, neurodivergent employees require an empathetic culture and innovative talent management approaches that respect cognitive differences. The case is made for neurodivergent human capital development and policy-makers to promote inclusive employment and decent work in a context of relatively high unemployment for neurodivergent individuals. This paper extends current debates on organisational equality, diversity and inclusion to a consideration of workplace well-being for highly functioning neurodivergent workers. It calls for more equitable and empathetic approaches to investing in employees with neurodevelopmental and cognitive disabilities.
Among Friends: The Role of Friendship in Alternative Organizations
- Monika Kostera
- Marta Szeluga-Romańska
2021 Pełny tekst Zarządzanie Mediami
Friendship, a mutual and profound relationship, permeates history of human culture and occurs in all social situations, including professional and informal human activities. In organizations, it develops through processes of communication and generates a communication culture of kindness and support. Organizational friendship enhances work engagement and satisfaction, as well as helps to promote individual ends. This article investigates the more vital significance of friendship in alternative organizations. Such organizations, operating at the margins of the currently dominant profit-oriented business model, offer a plethora of insights of possible structures and practices. Our ethnographic qualitative research shows the implications of workplace friendship as organizing principle. It helps to make organizations more humane, and redressed the moral imbalance, so prevalent in contemporary organizing and management. This has important implications for any kind of communication, creating social awareness around important themes related to management and organizations. Patterns of friendship are meaningful for organizing and organizations and their most vital significance concerns the area of social communication.
Amygdalin: Toxicity, Anticancer Activity and Analytical Procedures for Its Determination in Plant Seeds
- Ewa Jaszczak-Wilke
- Żaneta Polkowska
- Marek Koprowski
- Krzysztof Owsianik
- Alyson E. Mitchell
- Piotr Bałczewski
2021 Pełny tekst MOLECULES
Amygdalin (D-Mandelonitrile 6-O--D-glucosido--D-glucoside) is a natural cyanogenic glycoside occurring in the seeds of some edible plants, such as bitter almonds and peaches. It is a medically interesting but controversial compound as it has anticancer activity on one hand and can be toxic via enzymatic degradation and production of hydrogen cyanide on the other hand. Despite numerous contributions on cancer cell lines, the clinical evidence for the anticancer activity of amygdalin is not fully confirmed. Moreover, high dose exposures to amygdalin can produce cyanide toxicity. The aim of this review is to present the current state of knowledge on the sources, toxicity and anticancer properties of amygdalin, and analytical methods for its determination in plant seeds.
An analysis of wind conditions at pedestrian level in the selected types of multi-family housing developments
- Marta Poćwierz
- Katarzyna Zielonko-Jung
2021 Pełny tekst ENVIRONMENTAL FLUID MECHANICS
The following article addresses the issue of wind conditions around urban building development at pedestrian level. Factors that depend on those issues include wind comfort and air quality within urbanized spaces. The conditions specific of cities located in a temperate climate zone have been taken into account. The article is intended to identify aerodynamic phenomena characteristic of the three basic types of multi-family building development (section, linear, quarter). For each type of buildings, three different variants were considered on the basis of land use efficiency (low, medium, high) each type of buildings is characterised with. The models illustrate the patterns observed within European urban planning thought and have been developed in accordance with contemporary architectural and urban conditions, as well as with legal requirements and good practices in force in Poland. Experimental research in the wind tunnel has been conducted by means of two complementary field methods (visualization and erosion). The application of these two methods made it possible to obtain data on airflow direction layouts and on changes in airflow velocity. Subsequently, the results obtained in the study have been compared. Thus, more and less favourable geometrical layouts in respect to aerodynamic phenomena have been indicated.
An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks
- Mariusz Kurowski
- Andrzej Sroczyński
- Georgis Bogdanis
- Andrzej Czyżewski
2021 Pełny tekst Electronics
Handwriting biometrics applications in e-Security and e-Health are addressed in the course of the conducted research. An automated graphomotor analysis method for the dynamic electronic representation of the handwritten signature authentication was researched. The developed algorithms are based on dynamic analysis of electronically handwritten signatures employing neural networks. The signatures were acquired with the use of the developed electronic pen described in the paper. The triplet loss method was used to train a neural network suitable for writer-invariant signature verification. The signatures represented by anchor and positive are master signatures from the same class, representing a single person, that should be close to each other in multidimensional output space. For each signature of the three, the same neural network calculates a fixed-length latent space representation. The hand-corrected dataset containing 10,622 was used in order to train and evaluate proposed network. After learning, the network was tested and achieved mean 5.77% EER. The use of the triplet loss algorithm to teach neural network generation of embeddings has proven to give good results in terms of grouping of similar signatures and separating them from signatures representing different people.