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Search results for: SSD
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Determining the true content of quercetin and its derivatives in plants employing SSDM and LC–MS analysis
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Molecular dynamics simulation and MM-PBSA analysis of Oxytricha nova TEBP ternary complex with ssDNA
PublicationPraca dotyczy badań metodami chemii obliczeniowej właściwości elektrostatycznych i termodynamicznych kompleksu telomerowego białka TEBP pochodzącego z organizmu Oxytricha z jednoniciowym telomerowym DNA (ssDNA).
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Novel thermostable ssDNA-binding proteins from Thermus thermophilus and T. aquaticus - expression and purification
PublicationBiałka SSB są niezbędne do życia każdemu organizmowi. W tej pracy prezentujemy wyniki otrzymania i oczyszczania białek SSB Thermus thermophilus i T. aquaticus. Dotąd były znane białka SSB jedynie o budowie homotetrameru lub heterotrimeru. Białka SSB Thermus thermophilus i T. aquaticus stanowią nową klasę białek SSB - białek homodimerycznych. Ponadto dowiedziono, iż białka te są użyteczne w reakcji PCR.
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Novel thermostable ssDNA-binding proteins from Thermus thermophilus and T. aquaticus-expression and purification
PublicationSklonowano w system ekspresyjny pET-30LIC Escherichia coli gen kodujący białka SSB-podobne Thermus thermophilus i T. aquaticus. Oczyszczono do homogenności białka SSB-podobne, a uzyskane preparaty umożliwiają wykonanie badań strukturalnych w/w białek.
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Relevance of the Sea Sand Disruption Method (SSDM) for the Biometrical Differentiation of the Essential-Oil Composition from Conifers
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CaZnO-based nanoghosts for the detection of ssDNA, pCRISPR and recombinant SARS-CoV-2 spike antigen and targeted delivery of doxorubicin
PublicationOverexpression of proteins/antigens and other gene-related sequences in the bodies could lead to significant mutations and refractory diseases. Detection and identification of assorted trace concentrations of such proteins/antigens and/or gene-related sequences remain challenging, affecting different pathogens and making viruses stronger. Correspondingly, coronavirus (SARS-CoV-2) mutations/alterations and spread could lead to overexpression...
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How to eliminate the formation of chlorogenic acids artefacts during plants analysis? Sea sand disruption method (SSDM) in the HPLC analysis of chlorogenic acids and their native derivatives in plants
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Improving depth maps of plants by using a set of five cameras
PublicationObtaining high-quality depth maps and disparity maps with the use of a stereo camera is a challenging task for some kinds of objects. The quality of these maps can be improved by taking advantage of a larger number of cameras. The research on the usage of a set of five cameras to obtain disparity maps is presented. The set consists of a central camera and four side cameras. An algorithm for making disparity maps called multiple...
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Visual Content Learning in a Cognitive Vision Platform for Hazard Control (CVP-HC)
PublicationThis work is part of an effort for the development of a Cognitive Vision Platform for Hazard Control (CVP-HC) for applications in industrial workplaces, adaptable to a wide range of environments. The paper focuses on hazards resulted from the nonuse of personal protective equipment (PPE). Given the results of previous analysis of supervised techniques for the problem of classification of a few PPE (boots, hard hats, and gloves...
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Porównywanie zdjęć roślin na podstawie miar podobieństwa różniących się wykładnikiem potęgi
PublicationArtykuł przedstawia studium przypadku poświęcone zastosowaniu różnych miar podobieństwa do porównywania zdjęćroślin. Miary te mają zastosowanie w przypadku użycia układu kamer składającej się z pięciu kamer umieszczonych w bliskiej odległości. Badany układ kamer, nazwany EBCA (Equal Baseline Camera Array), składa się z jednej kamery centralnej oraz kamer bocznych. Opisane miary podobieństwa...
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Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection
PublicationRemote sensing object detection plays a major role in satellite imaging and is required in various scenarios such as transportation, forestry, and the ocean. Deep learning techniques provide efficient performance in remote sensing object detection. The existing techniques have the limitations of data imbalance, overfitting, and lower efficiency in detecting small objects. This research proposes the spiral search grasshopper (SSG)...
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Clothes Detection and Classification Using Convolutional Neural Networks
PublicationIn this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...