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Low-volume label-free SARS-CoV-2 detection with the microcavity-based optical fiber sensor
PublicationAccurate and fast detection of viruses is crucial for controlling outbreaks of many diseases; therefore, to date, numerous sensing systems for their detection have been studied. On top of the performance of these sensing systems, the availability of biorecognition elements specific to especially the new etiological agents is an additional fundamental challenge. Therefore, besides high sensitivity and selectivity, such advantages...
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Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland
PublicationTrees growing on private property have become an essential part of urban green policies. In many places, restrictions are imposed on tree removal on private property. However, monitoring compliance of these regulations appears difficult due to a lack of reference data and public administration capacity. We assessed the impact of the temporary suspension of mandatory permits on tree removal, which was in force in 2017 in Poland,...
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Automatic Reduction-Order Selection for Finite-Element Macromodels
PublicationAn automatic reduction-order selection algorithm for macromodels in finite-element analysis is presented. The algorithm is based on a goal-oriented a posteriori error estimator that operates on low-order reduced blocks of matrices, and hence, it can be evaluated extremely quickly.
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Facile Strategy for Boosting of Inorganic Fillers Retention in Paper
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SELECTION OF REFERENCE PLANE BY THE LEAST SQUARES FITTING METHODS
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Kinship, Acceptance, and Rejection Model of Altruism and Aggression (KARMAA)
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Selection of Effective HTRA3 Activators Using Combinatorial Chemistry
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Secukinumab for the Treatment of Psoriasis in Pediatrics: Patient Selection and Acceptability
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Decision Making Methods for the Selection of ICT Project Manager
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Industrial Textile Wastewater Ozone Treatment: Catalyst Selection
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Selection of hardware platform for CBM Common Readout Interface
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Tool support for detecting defects in object-oriented models
PublicationArtykuł przedstawia nową metodę analityczną UML-HAZOP oraz narzędzie wspomagające jej stosowanie. Metoda ukierunkowana jest na wykrywanie defektów we wczesnych fazach wytwarzania oprogramowania i koncentruje się na powszechnie stosowanych modelach opartych na metodyce obiektowej.
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Selection of the Electric Drive for the Wood Waste Compacting Unit
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Adaptive selection of control parameters in differential evolution algorithms
PublicationW pracy przedstawiono metodę adaptacyjnej selekcji parametrów kontrolnych w różnicowych algorytmach ewolucyjnych. Wartości parametrów takich jak: stopień krzyżowania i współczynnik różnicowej mutacji są odpowiednio zmieniane. Funkcje testowe użyte do testowania proponowanej metody były zaczerpnięte z literatury. Rezultaty uzyskane przy użyciu opisanej metody zostały porównane z innymi metodami selekcji różnicowej. Wyniki te, uzyskane...
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Selection of cutting and washing fluids as a method of waste minimization
PublicationW artykule przedstawiono wyniki testów korozyjności dla cieczy obróbkowych wykorzystywanych do produkcji przekładni skrzyni biegów. Testy prowadzono zgodnie z normami: DIN 51360-2 (Ford-test) oraz PN-92/M-55789. Badaniom poddano trzy ciecze obróbkowe oraz trzy ciecze chłodzące. Wraz ze spadkiem stężenia użytej cieczy, obserwowano większe ogniska korozji.
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Acoustic emission for detecting deterioration of capacitors under aging
PublicationW pracy przedstawiono wyniki pomiarów kondensatorów foliowych poddanych przyśpieszonemu procesowi starzenia na ramie trwałości. Stwierdzono, że w niektórych typach kondensatorów foliowych istnieje związek między intensywnością sygnału emisji akustycznej mierzonego w kondensatorach po ich wytworzeniu oraz rezystancji izolacji mierzonej po procesie ich starzenia.
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A Clustering-Based Methodology for Selection of Fault Tolerance Techniques
PublicationDevelopment of dependable applications requires selection of appropriate fault tolerance techniques that balance efficiency in fault handling and resulting consequences, such as increased development cost or performance degradation. This paper describes an advisory system that recommends fault tolerance techniques considering specified development and runtime application attributes. In the selection process, we use the K-means...
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Factors determining selection of production planning and control system
PublicationThe article contains a comparative characteristics of selected systems of production planning and control, such as: MRP, kanban/JiT, DBR/TOC. The results of the performed analyses served as a basis for determining key market factors related to production planning and control functions, which determine the choice of an appropriate system.
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Selection of Relevant Features for Text Classification with K-NN
PublicationIn this paper, we describe five features selection techniques used for a text classification. An information gain, independent significance feature test, chi-squared test, odds ratio test, and frequency filtering have been compared according to the text benchmarks based on Wikipedia. For each method we present the results of classification quality obtained on the test datasets using K-NN based approach. A main advantage of evaluated...
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Retention modeling of some saccharides separated on an amino column.
PublicationUsing an amino column (Supelcosil LC-NH2) and different mixtures of acetonitrile-water, quantitative structure-retention relationship models are discussed. These models are based on computed molecular descriptors representing numerically structured features of some saccharides. The obtained results are underlining the lipophilicity/hydrophilicity balance, and how this is controlling the separation of the saccharides. The resulting...
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Comparison of Selection Schemes in Evolutionary Method of Path Planning
PublicationThis article compares an impact of using various selection schemes on the quality of the solution for the problem of planning the path for a moving object using the evolutionary method. In study case problem of avoiding collisions at sea is analyzed. The modelled environment includes static constraints (lands, canals, etc.) and dynamic objects (moving ships). Article analyses behaviour of selection schemes in two similar environments...
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Towards detecting programmers’ stress on the basis of keystroke dynamics
PublicationThe article describes the idea of detecting stress among programmers on the basis of keystroke dynamics. An experiment with a group of students of artificial intelligence classes was performed. Two samples of keystroke data were recorded for each case, the first while programming without stress, the second under time pressure. A number of timing and frequency parameters were calculated for each sample. Then statistical analysis...
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Criteria for selection of working fluid in low-temperature ORC
PublicationThe economics of an ORC system is strictly linked to thermodynamic properties of the working fluid. A bad choice of working fluid could lead to a less efficient and expensive plant/generation unit. Some selection criteria have been put forward by various authors, incorporating thermodynamic properties, provided in literature but these do not have a general character. In the paper a simple analysis has been carried out which resulted...
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COMPOSITE MATERIAL SELECTION FOR A PATIENT TRANSFER ASSIST DEVICE
PublicationLaminates - layered composites containing at least two elements (matrix and reinforcement) widely used in industry have also found their usage in medicine. Their main feature is the ability to modify the material in order to obtain the required properties. Depending on the needs, we can modify reinforcement, type of resin or the method of bonding substrates. Commonly used fibers are: carbon fiber, glass and aramid fibers; resins...
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Direction-of-Arrival Estimation Methods in Interferometric Echo Sounding
PublicationNowadays, there are two leading sea sounding technologies: the multibeam echo sounder and the multiphase echo sounder (also known as phase-dierence side scan sonar or bathymetric side scan sonar). Both solutions have their advantages and disadvantages, and they can be perceived as complementary to each other. The article reviews the development of interferometric echo sounding array configurations and the various methods applied...
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Detecting Lombard Speech Using Deep Learning Approach
PublicationRobust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the background concerning the Lombard effect. Then, assumptions of the work performed for Lombard speech detection are outlined. The framework proposed combines convolutional neural networks...
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Detecting Apples in the Wild: Potential for Harvest Quantity Estimation
PublicationKnowing the exact number of fruits and trees helps farmers to make better decisions in their orchard production management. The current practice of crop estimation practice often involves manual counting of fruits (before harvesting), which is an extremely time-consuming and costly process. Additionally, this is not practicable for large orchards. Thanks to the changes that have taken place in recent years in the field of image...
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Molecular mechanism of retention in reversed-phase high-performance liquid chromatography and classification of modern stationary phases by using quantitative structure–retention relationships
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Application of ion chromatography with pulsed amperometric detection for the determination of trace cyanide in biological samples, including breast milk
PublicationCyanide (CN) is the biomarker of exposure to the components of tobacco smoke, although its presence in biological samples is also due to the consumption of products containing cyanogenic glycosides. In this work, we determine the concentration of the free cyanide in urine, saliva and breast milk matrices, using ion chromatography with pulsed amperometric detection (IC-PAD). IC-PAD is an emerging method, with only few documented...
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Design, Synthesis, and Enzymatic Evaluation of Novel ZnO Quantum Dot-Based Assay for Detection of Proteinase 3 Activity
PublicationHerein, the synthesis and application of functionalized quantum dot-based protease probes is described. Such probes are composed of nontoxic ZnO nanocrystals decorated by amino groups followed by linker and labeled peptide attachment. Spherical NH2-terminated ZnO quantum dots (QDs) with the average size ranging from 4 to 8 nm and strong emission centered at 530 nm were prepared using the sol−gel method. The fluorescence of ZnO...
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Development of the first internally-quenched fluorescent substrates of human cathepsin C: The application in the enzyme detection in biological samples
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Determination of tocopherols and tocotrienols in human breast adipose tissue with the use of high performance liquid chromatography-fluorescence detection
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Determination of fluoroacetate and fluoride in blood serum by capillary zone electrophoresis using capacitively coupled contactless conductivity detection
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Determination of fluoride as fluorosilane derivative using reversed-phase HPLC with UV detection for determination of total organic fluorine
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Disturbances of magnetic field in surrounding of mobile, metallic plate. Detection of ferromagnetic objects in strong local magnetic anomaly
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Toxoplasma gondii: Recombinant GRA5 antigen for detection of immunoglobulin G antibodies using enzyme-linked immunosorbent assay
PublicationW publikacji po raz pierwszy oszacowano przydatność diagnostyczną antygenu rekombinantowego GRA5 Toxoplasma gondii do serodiagnostyki toksoplazmozy u ludzi. Do celu wykorzystano pulę surowic pochodzącą od 189 pacjentów chorych na toksoplazmozę wczesną, podostrą i przewlekłą oraz od 31 pacjentów zdrowych , które testowano z wykorzystaniem metody ELISA. Specyficzne przeciwciała anty-GRA5 klasy IgG wykryto w 70,9% surowic seropozytywnych....
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Detection of DNA Replication Intermediates after Two-Dimensional Agarose Gel Electrophoresis Using a Fluorescein-Labeled Probe
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Impact damage detection in smart composites using nonlinear acoustics—cointegration analysis for removal of undesired load effect
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32P-postabeling detection of DNA adducts formed by 4-methyl-1-nitro-9-aminoacridine C-1748
PublicationWykazano zdolność do tworzenia przez nową pochodną 1-nitroakrydyny o symbolu C-1748, adduktów z DNA komórek nowotworowych oraz z DNA w systemie bezkomórkowym.
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Species - specific detection of the toxic mushrooms Amanita virosa and Amanita verna by PCR amplification of the gpd gene fragment
PublicationZaprojektowano dwie pary starterów do reakcji PCR, które umożliwiają gatunkowo specyficzną amplifikację unikalnych fragmentów genów gpd dla dwóch grzybów kapeluszowych: muchomora wiosennego (Amanita verna) i muchomora jadowitego (Amanita virosa).
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Optimized conditions for hydrocarbon group type analysis of base oils by thin-layer chromatography - flame ionisation detection
PublicationW pracy przedstawiono wyniki badań nad opracowaniem optymalnych warunków oznaczania składu grupowego mineralnych olejów bazowych z wykorzystaniem chromatografii cienkowarstwowej oraz detektora płomieniowo-jonizacyjnego (TLC-FID). W przypadku mineralnych olejów bazowych, które otrzymywane są po wielu etapach rafinacji frakcji pochodzących z destylacji próżniowej ropy naftowej oznaczenie ich składu grupowego (z uwzględnieniem podgrup...
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Recent achievements in chemical hydride generation inductively coupled and microwave induced plasmas with optical emission spectrometry detection
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Determination of twenty pharmaceutical contaminants in soil using ultrasound-assisted extraction with gas chromatography-mass spectrometric detection
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Fabrication of Electrochemical Biosensor Based on Titanium Dioxide Nanotubes and Silver Nanoparticles for Heat Shock Protein 70 Detection
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Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell lines
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Feature Weighted Attention-Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images
PublicationIn remote sensing images, change detection (CD) is required in many applications, such as: resource management, urban expansion research, land management, and disaster assessment. Various deep learning-based methods were applied to satellite image analysis for change detection, yet many of them have limitations, including the overfitting problem. This research proposes the Feature Weighted Attention (FWA) in Bidirectional Long...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublicationLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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O 1s excitation and ionization processes in the CO2 molecule studied via detection of low-energy fluorescence emission
PublicationOxygen 1s excitation and ionization processes in the CO2 molecule have been studied with dispersed and non-dispersed fluorescence spectroscopy as well as with the vacuum ultraviolet (VUV) photon-photoion coincidence technique. The intensity of the neutral O emission line at 845 nm shows particular sensitivity to core-to-Rydberg excitations and core-valence double excitations, while shape resonances are suppressed. In contrast,...
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A solid phase extraction–ion chromatography with conductivity detection procedure for determining cationic surfactants in surface water samples
PublicationA new analytical procedure for the simultaneous determination of individual cationic surfactants (alkyl benzyl dimethyl ammonium chlorides) in surface water samples has been developed. We describe this methodology for the first time: it involves the application of solid phase extraction (SPE – for sample preparation) coupled with ion chromatography–conductivity detection (IC-CD – for the final determination). Mean recoveries of...
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Determination of nine high-intensity sweeteners in various foods by high-performance liquid chromatography with mass spectrometric detection
PublicationAn analytical procedure involving solid-phase extraction (SPE) and high-performance liquid chromatography-mass spectrometry has been developed for the determination of nine high-intensity sweeteners authorised in the EU; acesulfame-K (ACS-K), aspartame (ASP), alitame (ALI), cyclamate (CYC), dulcin (DUL), neohesperidin dihydrochalcone (NHDC), neotame (NEO), saccharin (SAC) and sucralose (SCL) in a variety of food samples (i.e. beverages,...