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Search results for: WASTE DETECTION BENCHMARKS
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Multifrequency Nanoscale Impedance Microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes
PublicationIn this paper, we describe the modification of Nanoscale Impedance Microscopy (NIM), namely, a combination of contact-mode atomic force microscopy with local impedance measurements. The postulated approach is based on the application of multifrequency voltage perturbation instead of standard frequency-by-frequency analysis, which among others offers more time-efficient and accurate determination of the resultant impedance spectra...
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Electronic nose algorithm design using classical system identification for odour intensity detection
PublicationThe two elements considered crucial for constructing an efficient environmental odour intensity monitoring systems are sensors and algorithms typically addressed to as electronic nose sensor (e-nose). Due to operational complexity of biochemical sensors developed in human bodies algorithms based on computational methods of artificial intelligence are typically considered superior to classical model based approaches in development...
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Increasing K-Means Clustering Algorithm Effectivity for Using in Source Code Plagiarism Detection
PublicationThe problem of plagiarism is becoming increasingly more significant with the growth of Internet technologies and the availability of information resources. Many tools have been successfully developed to detect plagiarisms in textual documents, but the situation is more complicated in the field of plagiarism of source codes, where the problem is equally serious. At present, there are no complex tools available to detect plagiarism...
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DETECTION OF BREATHING AND HEART RATE USING AN ECG SIGNAL MEASURED WHILE BATHING IN THE BATHTUB
PublicationNowadays a new area of interest is gaining importance - it is home biomedical examination. Intelligent home can be supported by set of devices for habitants observation. It can be particularly useful for elders or person with some health risks but living alone. One of critical locations within the house is bathroom. One of utilities in the bathroom is a bathtub which is sometimes preferred over shower. There are reports of problems...
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Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars
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<title>Ultrahigh-resolution detection techniques for biomedical applications of optical coherent tomography</title>
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MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
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Detection of some volatile degradation products released during photoexposition of ranitidine in a solid state
PublicationRanitidine (RAN) is on top of the list of prescribed drugs, due to its popularity as a selective H2-receptor antagonist, which efficiently decreases the amount of acid produced in the stomach. RAN is not stable both in a solid state and in a solution, which creates manufacturing problems, requires appropriate storage conditions, and results in a short drug shelf-life. The aim of this work was to study the emission of volatile...
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Lamb wave based structural damage detection using cointegration and fractal signal processing
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Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
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A novel dual mode capacitor biosensor for real-time, label-free DNA detection
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On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data
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Effect of unlabeled helper probes on detection of an RNA target by bead-based sandwich hybridization
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Damage Detection Using Cointegration Technique and Wavelet Analysis of the Post-Cointegrated Lamb Waves
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Cointegration and wavelet-analysis-based approach for Lamb-wave-based structural damage detection
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Detection of bacteriophage infection and prophage induction in bacterial cultures by means of electric DNA chips
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The collusion detection in public procurements – selected methods applied for the road construction industry in Poland
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Nested PCR for the detection of Aspergillus species in maxillary sinus samples of patients with chronic sinusitis
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Application of continuous wavelet transform in vibration based damage detection method for beams and plates
PublicationW artykule zaprezentowano metodę lokalizacji uszkodzeń w konstrukcjach belkowych i płytowych bazującą na analizie falkowej. Wyznaczono postacie drgań badanych konstrukcji. Postacie drgań konstrukcji belkowej zostały przeanalizowane jednowymiarową transfrormatą falkową. Sformułowano dwuwymiarową transformatę falkową, którą zastosowano do postaci drgań konstrukcji płytowej.
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The role of MR imaging in detection of hepatic iron overload in patients with cirrhosis of different origins
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Preliminary studies on DNA retardation by MutS applied to the detection of point mutations in clinical samples
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One tube mutation detection using sensitive fluorescent dyeing of MutS protected DNA
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Detection of white sturgeon iridovirus (WSIV) in wild sturgeons (Actinopterygii: Acipenseriformes: Acipenseridae) in Poland
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Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos
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Neuro-wavelet damage detection technique in beam, plate and shell structures with experimental validation
PublicationNiniejsza praca poświęcona jest technice diagnostyki konstrukcji bazującej na transfor-macie falkowej oraz sztucznych sieciach neuronowych (tzw. system neuro-wavelet). Zastosowanie analizy falkowej pozwala na lokalizację uszkodzeń wymagającą mini-malnej ilości danych wejściowych. W tym celu niezbędna jest tylko odpowiedź kon-strukcji pomierzona w wielu punktach. Poprawę efektywności lokalizacji zniszczeń uzyskano poprzez użycie...
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The simultaneous detection of food dyes from different samples in a 96-well plate by spectrophotometry
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Experimental and numerical study on damage detection in an L-joint using guided wave propagation
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Application of continuous wavelet transform in vibration based damage detection method for beams and plates
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Headspace Liquid-Phase Microextraction of Chlorobenzenes in Soil with Gas Chromatography-Electron Capture Detection
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Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection
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Formulation of spectral truss element for guided waves damage detection in spatial steel trusses
PublicationW pracy przedstawiono sformułowanie wielowęzłowego elementu spektralnego oraz odpowiedniego schematu całkowania ukierunkowanego na problem propagacji fal w kratownicach przestrzennych o dowolnej geometrii. Zaproponowane podejście nie ogranicza liczby węzłów w elemencie kratowym. Porównawcze rozwiązania numeryczne przeprowadzono dla konstrukcji idealnej (w stanie nieuszkodzonym) oraz dlakonstrukcji z miejscową nieregularnością w...
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Influence of Selected Factors on the Survival Assessment and Detection of Giardia intestinalis DNA in Axenic Culture
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Poly(amidoamine) dendrimer immunosensor for ultrasensitive gravimetric and electrochemical detection of matrix metalloproteinase-9
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A rapid, selective, and ultrasensitive voltammetric and gravimetric protocol for MMP-1 active form detection
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Experimental and numerical study on damage detection in an L-joint using guided wave propagation
PublicationW pracy zaprezentowano metodę wykrywania i lokalizacji uszkodzeń w konstrukcji ramowej za pomocą podłużnych i poprzecznych fal sprężystych. Przeprowadzono badania numerczyne i eksperymentalne na modelu bez uszkodzenia oraz na modelu z wsprowadzonym nacięciem. Do modelowania zastosowano metodę elementów spektralnych. W pracy przedstawiono sformułowanie nowego element spektralnego dla ram płaskich bazującego na teorii pręta Mindlina...
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
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Application of micellar electrokinetic chromatography for detection of silver nanoparticles released from wound dressing
PublicationThe recent emergence of nanotechnology has provided a new therapeutic modality in case of silver nanoparticles. Dressings containing silver form the basis for the treatment of burns and wounds, either acute or chronic ones. The aim of the study was to examine silver release from the different wound dressings: commercially available (Atrauman Ag, Aqua- cel Ag) and experimental (FKDP-AgNPs) using MEKC. In order to characterize prepared keratin...
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MIC1-MAG1-SAG1 chimeric protein, a most effective antigen for detection of human toxoplasmosis
PublicationThis study describes a Toxoplasma gondii IgG ELISA test based on a new chimeric antigen containing three immunodominant regions from MIC1, MAG1 and SAG1 proteins of a parasite and shows that this test is useful for diagnostic purposes and may replace the lysed and whole-cell antigens.
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Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy
PublicationThe diabetic retinopathy is a disease caused by long-standing diabetes. Lack of effective treatment can lead to vision impairment and even irreversible blindness. The disease can be diagnosed by examining digital color fundus photographs of retina. In this paper we propose deep learning approach to automated diabetic retinopathy screening. Deep convolutional neural networks (CNN) - the most popular kind of deep learning algorithms...
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Pose-Invariant Face Detection by Replacing Deep Neurons with Capsules for Thermal Imagery in Telemedicine
PublicationAbstract— The aim of this work was to examine the potential of thermal imaging as a cost-effective tool for convenient, non- intrusive remote monitoring of elderly people in different possible head orientations, without imposing specific behavior on users, e.g. looking toward the camera. Illumination and pose invariant head tracking is important for many medical applications as it can provide information, e.g. about vital signs, sensory...
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Neural network based algorithm for hand gesture detection in a low-cost microprocessor applications
PublicationIn this paper the simple architecture of neural network for hand gesture classification was presented. The network classifies the previously calculated parameters of EMG signals. The main goal of this project was to develop simple solution that is not computationally complex and can be implemented on microprocessors in low-cost 3D printed prosthetic arms. As the part of conducted research the data set EMG signals corresponding...
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Electrode arrays applicable to EIT based mine detection: a comparison ofspatial sensitivity distribution.
PublicationPrzebadano trzy konfiguracje matryc elektrodowych. Określono optymalne wzorce pobudzeń oraz odpowiadające im rozkłady czułości.
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Principles of computing and displaying the results of detection by underwater systems as part of sound velocity measurements.
PublicationPraca zawiera szczegółowy opis metodyki prowadzenia obliczeń i ekspozycji wyników przewidywanych warunków detekcji systemów hydroakustycznych w zestawie pomiarowym rozkładów prędkości dźwięku. Podstawa obliczeń są zamierzone rozkłady wartości prędkości propagacji dźwięku w funkcji głębokości akwenu a metodyka polega na kojarzeniu wyliczonego metodą gęstości promieni rozkładu natężenia fali akustycznej w pionowym przekroju akwenu...
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Direct estimation of elements of algebra of quantum states and entanglement detection via linear contraction.
PublicationWykazano możliwość obliczenia elementów algebry generowanej przez macierze bez uprzedniej rekonstrukcji stanu. Ponadto wykazano, że pewne testy separowalności oparte o liniowe operacje zwężające można przeprowadzić bez uprzedniej rekonstrukcji badanych stanów.
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In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies
PublicationDespite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding...
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Application of acoustic emission for detection of fatigue microdemage in main and crank bearings for diesel engines
PublicationThe article presents reasons for applying the acoustic emission (AE) to detect fatigue microdamage in main bearings and crank bearings of ship main engines. Problem of determination of the fatigue life for slide bearing bushes was characterized in general. There were demonstrated properties of the objects of research, which were bushings made of the MB58 alloy, as well as an overall description of the research. It was shown that...
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Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis
PublicationRenal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...