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The antitumor derivative, C-1748, affects CYP3A4: crosstalk between drug metabolism, CYP3A4 expression and enzymatic activity
PublicationJedną z głównych przeszkód w przewidywaniu wyników terapii u pacjentów z nowotworem jest indywidualny przebieg metabolizmu stosowanych leków wynikający z polimorfizmu genów enzymów metabolizujących, jak również duża zmienność farmakokinetyki leków obserwowana u różnych pacjentów podczas trwania chemioterapii. Z powodu tzw. ''wąskiego okna terapeutycznego'' występującego w przypadku terapii lekami przeciwnowotworowymi, małe zmiany...
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Hybrid fuzzy-ontological project framework of a team work simulation system
PublicationThe aim of this article is to present the project framework for constructing a Software Process Simulation Modeling (SPSM) system. SPSM systems can be used as a virtual environment for the selection of methods and tools of project management in IT support organizations. The constructed system simulates the Scrum methodology, including the management processes and the project roles. For the implementation of Scrum processes, the...
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Hybrid Fuzzy-Ontological Project Framework of a Team Work Simulation System
PublicationThe aim of this article is to present the project framework for constructing a Software Process Simulation Modeling (SPSM) system. SPSM systems can be used as a virtual environment for the selection of methods and tools of project management in IT support organizations. The constructed system simulates the Scrum methodology, including the management processes and the project roles. For the implementation of Scrum processes, the...
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Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification
PublicationDermatophytes are keratinophilic molds that infect human hair, nails and skin. Diagnosis of dermatophytosis is based on morphological, serological and biochemical features. However, identification is difficult and laborious due to similarities between microorganisms. Thus, there is considerable interest to develop mycological diagnostic procedures based on molecular biology methods. In this study, fast, two-step DNA extraction...
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Enhanced uniform data sampling for constrained data‐driven modeling of antenna input characteristics
PublicationData-driven surrogates are the most popular replacement models utilized in many fields of engineering and science, including design of microwave and antenna structures. The primary practical issue is a curse of dimensionality which limits the number of independent parameters that can be accounted for in the modelling process. Recently, a performance-driven modelling technique has been proposed where the constrained domain of the...
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Field Calibration of Low-Cost Particulate Matter Sensors Using Artificial Neural Networks and Affine Response Correction
PublicationDue to detrimental effects of atmospheric particulate matter (PM), its accurate monitoring is of paramount importance, especially in densely populated urban areas. However, precise measurement of PM levels requires expensive and sophisticated equipment. Although low-cost alternatives are gaining popularity, their reliability is questionable, attributed to sensitivity to environmental conditions, inherent instability, and manufacturing...
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Statistical Data Pre-Processing and Time Series Incorporation for High-Efficacy Calibration of Low-Cost NO2 Sensor Using Machine Learning
PublicationAir pollution stands as a significant modern-day challenge impacting life quality, the environment, and the economy. It comprises various pollutants like gases, particulate matter, biological molecules, and more, stemming from sources such as vehicle emissions, industrial operations, agriculture, and natural events. Nitrogen dioxide (NO2), among these harmful gases, is notably prevalent in densely populated urban regions. Given...
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Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing
PublicationAir pollution remains a considerable contemporary challenge affecting life quality, the environment, and economic well-being. It encompasses an array of pollutants—gases, particulate matter, biological molecules—emanating from sources such as vehicle emissions, industrial activities, agriculture, and natural occurrences. Nitrogen dioxide (NO2), a harmful gas, is particularly abundant in densely populated urban areas. Given its...
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Unequally-Spaced Slot Strategy for Radiation Null Reduction in Single SIW-Embedded Antenna Element
PublicationThe incorporation of higher-order modes (HOMs) can substantially augment the antenna gain and bandwidth, but this improvement is typically accompanied by compromised radiation performance including radiation nulls and higher side lobe levels. In this study, an inventive strategy is introduced to reduce the radiation nulls and the side lobe levels of a single antenna element by positioning multiple slots of the radiating element...
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Efficient uncertainty quantification using sequential sampling-based neural networks
PublicationUncertainty quantification (UQ) of an engineered system involves the identification of uncertainties, modeling of the uncertainties, and the forward propagation of the uncertainties through a system analysis model. In this work, a novel surrogate-based forward propagation algorithm for UQ is proposed. The proposed algorithm is a new and unique extension of the recent efficient global optimization using neural network (NN)-based...
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Constrained aerodynamic shape optimization using neural networks and sequential sampling
PublicationAerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...
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Adaptive Hyperparameter Tuning within Neural Network-based Efficient Global Optimization
PublicationIn this paper, adaptive hyperparameter optimization (HPO) strategies within the efficient global optimization (EGO) with neural network (NN)-based prediction and uncertainty (EGONN) algorithm are proposed. These strategies utilize Bayesian optimization and multiarmed bandit optimization to tune HPs during the sequential sampling process either every iteration (HPO-1itr) or every five iterations (HPO-5itr). Through experiments using...
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Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-Task Variance
PublicationNon-intrusive reduced order modeling methods (ROMs) have become increasingly popular for science and engineering applications such as predicting the field-based solutions for aerodynamic flows. A large sample size is, however, required to train the models for global accuracy. In this paper, a novel adaptive sampling strategy is introduced for these models that uses field-based uncertainty as a sampling metric. The strategy uses...
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On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
PublicationNitrogen dioxide (NO2) is a prevalent air pollutant, particularly abundant in densely populated urban regions. Given its harmful impact on health and the environment, precise real-time monitoring of NO2 concentration is crucial, particularly for devising and executing risk mitigation strategies. However, achieving precise measurements of NO2 is challenging due to the need for expensive and cumbersome equipment. This has spurred...
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Efficient Calibration of Cost-Efficient Particulate Matter Sensors Using Machine Learning and Time-Series Alignment
PublicationAtmospheric particulate matter (PM) poses a significant threat to human health, infiltrating the lungs and brain and leading to severe issues such as heart and lung diseases, cancer, and premature death. The main sources of PM pollution are vehicular and industrial emissions, construction and agricultural activities, and natural phenomena such as wildfires. Research underscores the absence of a safe threshold for particulate exposure,...
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Exploring the Beam Squint Effects on Reflectarray Perfromance: A Comprehensive Analysis of the Specular and Scattered Reflection of the Unit Cell
PublicationIn this article, the phenomena of beam deviation in reflectarray is discussed. The radiation pattern of the unit cell, which plays a vital role in shaping the beam of the reflectarray, is analyzed by considering undesired specular and scattered reflections. These unwanted reflections adversely affect the pattern of the single unit cell, thereby reducing the overall performance of the reflectarray. To conduct our investigations,...
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Removal of VOCs from air and assessment of dominant species in a peat-perlite biotrickling filter
PublicationAir pollution has become a major concern because it is inevitably connected with the rapid development of both industrial and residential areas. Volatile organic compounds (VOCs) are emitted from various anthropogenic sources e.g. transportation, factories or landfills as well as recycling factories. It is problematic not only because of the direct impact on humans and environment but also from economy viewpoint as it increases...
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Rola mikroorganizmów w dezodoryzacji powietrza metodą biofiltracji
PublicationZanieczyszczenie powietrza związkami zapachowymi staje się rosnącym problemem. W celu ograniczenia emisji substancji uciążliwych zapachowo do atmosfery, wykorzystuje się różne techniki dezodoryzacji. Względnie niskie koszty eksploatacyjne, niewielka odpadowość oraz możliwość oczyszczania dużych objętości gazów, zawierających niewysokie stężenia związków zapachowych powodują, że zastosowanie metod biologicznych jest szczególnie...
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The use of various species of fungi in biofiltration of air contaminated with odorous volatile organic compounds
PublicationAir pollution with odorous compounds is a significant social and environmental problem. This paper presents biological deodorization methods. The attention is focused on the application of biotrickling filters for air deodorization. Principles of their operation are discussed, indicating the key role of the selection of microorganisms responsible for the degradation of odorous compounds. A literature overview of the used fungal...
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Sounding rocket vibration mechanical filter and amplifier
PublicationMeasuring accelerations and vibrations of a sounding rocket provides both information for engineers on the launcher vehicle performance as well as environment description for future payload designers. Typically, information on the level of vibration and eigenfrequencies are required to properly design a payload. This paper presents a design of a novel mechanical filter and amplifier for mechanical vibrations. Its key feature is...
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Selected Aspects of Testing the Positioning Accuracy of GNSS Receivers Used in Sports and Recreation by Dynamic Measurements
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Three-Dimensional Thematic Map Imaging of the Yacht Port on the Example of the Polish National Sailing Centre Marina in Gdańsk
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Comparative analysis of positioning accuracy of Garmin Forerunner wearable GNSS receivers in dynamic testing
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Wyznaczanie linii podstawowej i zewnętrznej granicy morza terytorialnego – aspekt metodyczny
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Modeling 3D Objects for Navigation Purposes Using Laser Scanning
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Air-sparged hydrocyclone (ASH) technology for cyanide recovery
PublicationPrzewoźną instalację wyposażoną w napowietrzane reaktory cyklonowe zbadano pod kątem przydatności w procesie ciągłego odpędzania i absorpcji HCN z kopalnianych wód procesowych. Zastosowanie reaktora cyklonowego pozwoliło na ponad 99% absorpcję HCN podczas jednego przejścia fazy gazowej przez reaktor. Natomiast uzyskana efektywność odpędzania HCN, zależna przede wszystkim od stałej Henry'ego, przekroczyła 40% dla jednego przejścia...
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Laboratory and pilot scale photodegradation of cyanide-containing wastewaters
PublicationW pracy badano efektywność procesu degradacji cyjanków stosując odpowiednie metody utleniania. Roztwory modelowe cyjanków zawierające TiO2 i H2O2 były poddane fotodegradacji przy różnych warunkach pH, temperatury, różnym składzie fazy gazowej i w obecności różnych katalizatorów. Prawie 20% wzrost w efektywności utlenienia cyjanków był zaobserwowany dla fotodegradacji cyjankowych kompleksów miedzi. Dodatkowo badano fotodegradację...
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Air sparged hydrocyclone (ASH) technology for cyanide recovery
PublicationMobilna instalacja reaktora cyklonowego została przetestowana do procesu odzysku cyjanków ze ścieków pochodzących z obróbki złota. HCN był usuwany z fazy gazowej podczas pojedynczego 1-sekundowego cyklu z efektywnością ponad 99%.
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High Cu content LaNi1-xCuxO3-δ perovskites as candidate air electrode materials for Reversible Solid Oxide Cells
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How should we teach cardiopulmonary resuscitation? Randomized multi-center study
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Analysis of Agricultural and Engineering Systems using Simulation Decomposition
PublicationThis paper focuses on the analysis of agricultural and engineering processes using simulation decomposition (SD). SD is a technique that utilizes Monte Carlo simulations and distribution decomposition to visually evaluate the source and the outcome of different portions of data. Here, SD is applied to three distinct processes: a model problem, a nondestructive evaluation testing system, and an agricultural food-water energy system....
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Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
PublicationPerforming global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...
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Prediction of Bioactive Peptides From Chicken Feather and Pig Hair Keratins Using In Silico Analysis Based on Fragmentomic Approach
PublicationBackground: Keratin is among the most abundant structural proteins of animal origin, however it remains broadly underutilized. Objective: Bioinformatic investigation was performed to evaluate selected keratins originating from mass-produced waste products, i.e., chicken feathers and pig hair, as potential sources of bioactive peptides. Methods: Pepsin, trypsin, chymotrypsin, papain, and subtilisin were used for in silico keratinolysis...
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An optimal designed experiment for the alkaline hydrolysis of feather keratin
PublicationFeathers, burdensome waste from the poultry industry, can be a cheap source of keratin, a protein with excellent physico- chemical, biological, and mechanical properties. Acid and alkaline hydrolyses are usually adopted for isolation of keratin from its natural resources. This study aimed at assessing the statistically significant effect of input variables in the alkaline hydrolysis of keratin from chicken feathers on the process...
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Toxoplasma gondii: Enzyme-Linked Immunosorbent Assay using different fragments of recombinant microneme protein 1 (MIC1) for detection of immunoglobulin G antibodies
PublicationTrzy rekombinantowe fragmenty białka antygenowego MIC1 Toxoplasma gondii (r-MIC1ex2, r-MIC1ex34 i r-MIC1) zostały wyprodukowane jako białka fuzyjne (zawierające dwie domeny oligohistydynowe na N- i C-końcu) w komórkach bakteryjnych Escherichia coli. Homogenne preparaty antygenów rekombinantowych otrzymane z zastosowaniem jednoetapowego oczyszczania metodą chromatografii metalopowinowactwa, wykorzystano następnie do immunoidentyfikacji...
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The pattern of verbal, visuospatial and procedural learning in Richardson variant of progressive supranuclear palsy in comparison to Parkinson’s disease
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Integration of Active Clothing with a Personal Cooling System within the NGIoT Architecture for the Improved Comfort of Construction Workers
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Badania wpływu zaawansowanej technologicznie odzieży ochronnej na stan psychofizyczny człowieka
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Assessment of Grassland Biomass Prediction Using AquaCrop Model: Integrating Sentinel-2 Data and Ground Measurements in Wielkopolska and Podlasie Regions, Poland
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Comparative Analysis of Evapotranspiration Estimates: Applying Data from Meteorological Ground Station, ERA5-Land, and MODIS with ECOSTRESS Observations across Grasslands in Central-Western Poland
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Production of Toxoplasma gondii MAG1 recombinant antigen in Leishmania tarentolae expression system
PublicationThe results of the work associated with the production of the Toxoplasma gondii matrix antigen 1 (MAG1) in the eukaryotic expression system of Leishmania tarentolae are shown.
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Bandwidth-Controllable Third-Order Band Pass Filter Using Substrate Integrated Full- and Semi-Circular Cavities
PublicationThe article presents a novel circular substrate integrated waveguide (SIW) bandpass filter (BPF) with controllable bandwidth. The proposed BPF is configured using two microstrip feedlines, semi- circular SIW cavities, capacitive slots, and inductive vias. The circular cavity is bisected into two halves, with the two copies thereof being cascaded. Two bisected and cascaded structures obtained this way are subsequently connected...
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PCR and real-time PCR assays to detect fungi of Alternaria alternata species
PublicationFungi of the Alternaria genus are mostly associated with allergic diseases. However, with a growing number of immunocompromised patients, these fungi, with A. alternata being the most prevalent one, are increasingly recognized as etiological agents of infections (phaeohyphomycoses) in humans. Nowadays, identification of Alternaria spp. requires their pure culture and is solely based on morphological criteria. Clinically, Alternaria...
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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images
PublicationNumerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground...
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Improving performance of large thrust bearings through modeling and experimentation
PublicationLarge thrust bearings are highly loaded machine elements and their failures cause serious losses. Start ups and stoppages of the bearing under load are specially critical regimes of operation. Load carrying capacity depends on the profile of the oil gap. In transient states this profile is also changing. In the design of large thrust bearings minimizing thermo-elastic deformations is an important goal, which can be accomplished...
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Algorytmy analizy, przetwarzania i wizualizacji danych z sonaru wielowiązkowego w rozproszonych systemach gis
PublicationKatedra Systemów Geoinformatycznych prowadzi badania naukowe związane z zastosowaniem nowych technologii implementacji Systemów Informacji Przestrzennej (GIS) w różnych zastosowaniach, a szczególnie w aplikacjach związanych z obszarami morskimi. Prowadzone są też prace badawcze związane z analizą i przetwarzaniem danych dla systemów GIS, ze szczególnym uwzględnieniem danych otrzymywanych z sonarów wielowiązkowych. Niniejszy artykuł...
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Klocki samopompujące w łożyskach hydrodynamicznych = Self-pumping pads in the hydrodynamic bearings
PublicationWe współpracy z firmą ALSTOM HYDRO (Szwajcaria), zespół Katedry Konstrukcji i Eksploatacji Maszyn Politechniki Gdańskiej przeprowadził symulacje przepływowe kilku rozwiązań konstrukcyjnych mających na celu zwiększenie niezawodności turbin wodnych. W artykule opisano jedno z takich rozwiązań - tak zwane łożysko z klockami samopompującymi. Głównym celem jest uzyskanie przepływu oleju w układzie smarowania łożyska hydrodynamicznego...
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Assessing historical church tower asymmetry using point cloud spatial expansion
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Dihydroxyanthraquinones as stable and cost-effective TiO2 photosensitizers for environmental and biomedical applications
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Photodynamic Inactivation of Bacteria with Porphyrin Derivatives: Effect of Charge, Lipophilicity, ROS Generation, and Cellular Uptake on Their Biological Activity In Vitro
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