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Search results for: DEEP EUTECTIC SOLVENTSDISPERSIVE LIQUID-LIQUID MICROEXTRACTIONSAMPLE PREPARATIONGAS CHROMATOGRAPHYWATER ANALYSISPOLYCYCLIC AROMATIC HYDROCARBONS
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Influence of e-beam irradiation on the chemical and crystal structure of poly(aliphatic/aromatic-ester) multiblock thermoplastic elastomers
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HPLC–DAD Analysis, Antimicrobial and Antioxidant Properties of Aromatic Herb Melissa officinalis L., Aerial Parts Extracts
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An Influence of the Aromatic Side Chains Conformations in Positions 2 and 3 of Vasopressin Analogs on Interactions with Vasopressin and Oxytocin Receptors
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Deep learning approach for delamination identification using animation of Lamb waves
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Deep learning super-resolution for the reconstruction of full wavefield of Lamb waves
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OmicSelector: automatic feature selection and deep learning modeling for omic experiments
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Deep sea habitats in the chemical warfare dumping areas of the Baltic Sea
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Simulation of backup rolls quenching with experimental study of deep cryogenic treatment
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Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification
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Deep Features Class Activation Map for Thermal Face Detection and Tracking
PublicationRecently, capabilities of many computer vision tasks have significantly improved due to advances in Convolutional Neural Networks. In our research, we demonstrate that it can be also used for face detection from low resolution thermal images, acquired with a portable camera. The physical size of the camera used in our research allows for embedding it in a wearable device or indoor remote monitoring solution for elderly and disabled...
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DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION
PublicationObjective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...
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Autonomous pick-and-place system based on multiple 3Dsensors and deep learning
PublicationGrasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...
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Deep learning approach on surface EEG based Brain Computer Interface
PublicationIn this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...
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Using deep learning to increase accuracy of gaze controlled prosthetic arm
PublicationThis paper presents how neural networks can be utilized to improve the accuracy of reach and grab functionality of hybrid prosthetic arm with eye tracing interface. The LSTM based Autoencoder was introduced to overcome the problem of lack of accuracy of the gaze tracking modality in this hybrid interface. The gaze based interaction strongly depends on the eye tracking hardware. In this paper it was presented how the overall the...
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Influence of parameters of deep grinding on nanohardness and surface roughness of C45 steel
PublicationPrzedstawiono wyniki badań wpływu głębokości współbieżnego szlifowania powierzchni płaskich na chropowatość i nanotwardość warstwy wierzchniej stali C45 o strukturze ferrytyczno-perlitycznej i średniej wielkości ziarna 20 μm. Dla wszystkich wartości głębokości szlifowania uzyskano znaczny wzrost twardości warstwy wierzchniej przedmiotu obrabianego.
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Intrinsic and extrinsic factors in anion electron -stimulated desorption: D- from deuterated hydrocarbons condensed on Kr and water ice films.
PublicationPrzedstawiono wynik desorpcji anionów D indukowanej zderzeniami elektronów ze skondensowanymi drobinami CD4, C2D6, C3D8,C2D4 i C2D2. Cienkie warstwy badanych drobin skondensowano na powierzchniach innych warstw atomowych i molekularnych (krypton porowaty i nieporowaty amorficzny lód) zestalony na powierzchni platyny. Zaobserwowano znaczące zaburzenia desorpcji anionów D poprzez obecność innych kondensatów. Zaproponowano oraz przedyskutowano...
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Analysis of explosion hazard on propane-butane liquid gas distribution stations during self tankage of vehicles Analiza zagrożeń wystąpienia wybuchu dla stacji dystrybucji gazu płynnego propan-butan podczas samodzielnego napełniania pojazdów
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On the Mechanism of Electrochemical Oscilations in Three-Phase System Containing Nitrobenzene with Picric Acid as Liquid Membrane.O mechaniźmie oscylacji róznicy potencjału elektorchemicznego w trójfazowych układach zawierających nitrobenzen z kwasem pikrynowym jako membraną ciekłą.
PublicationPodano składowe różnicy potencjału elektrochemicznego między fazami wodnymi oscylatora z nitrobenzynową membraną ciekłą. Na tej podstawie oraz zmian stężeń składników układu w trakcie procesu zaproponowano mechanizm powstawania oscylacji w którym najważniejszą rolę odgrywają procesy adsorpcji/desorpcji surfaktantu na granicach faz.
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Tensile test of 1.4307 / X2CrNi18-9 / AISI 304L grade austenitic steel
Open Research DataShip structures and their components are build mainly of steel. Hull steel is used to build the hull structure. Some structural elements, such as RSW (Refrigerated See Water) tanks, or LNG (Liquid Natural Gas) tanks - gas transported at temperatures below -162° C, are build from austenitic steels. Austenitic steels have a different microstructure and...
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Tensile test of 1.4541 / X6CrNi18-10 / AISI 321 grade austenitic steel
Open Research DataShip structures and their components are build mainly of steel. Hull steel is used to build the hull structure. Some structural elements, such as RSW (Refrigerated See Water) tanks, or LNG (Liquid Natural Gas) tanks - gas transported at temperatures below -162° C, are build from austenitic steels. Austenitic steels have a different microstructure and...
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Intermolecular Interactions of Edaravone in Aqueous Solutions of Ethaline and Glyceline Inferred from Experiments and Quantum Chemistry Computations
PublicationEdaravone, acting as a cerebral protective agent, is administered to treat acute brain infarction. Its poor solubility is addressed here by means of optimizing the composition of the aqueous choline chloride (ChCl)-based eutectic solvents prepared with ethylene glycol (EG) or glycerol (GL) in the three different designed solvents compositions. The slurry method was used for spectroscopic solubility determination in temperatures...
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Crystallographic study of self-organization in the solid state including quasi-aromatic pseudo-ring stacking interactions in 1-benzoyl-3-(3,4-dimethoxyphenyl)thiourea and 1-benzoyl-3-(2-hydroxypropyl)thiourea
Publication1-Benzoylthioureas contain both carbonyl and thiocarbonyl functional groups and are of interest for their biological activity, metal coordination ability and involvement in hydrogen-bond formation. Two novel 1-benzoylthiourea derivatives, namely 1-benzoyl-3-(3,4-dimethoxyphenyl)thiourea, C₁₆H₁₆N₂O₃S, (I), and 1-benzoyl-3-(2-hydroxypropyl)thiourea, C₁₁H₁₄N₂O₂S, (II), have been synthesized and characterized. Compound (I) crystallizes...
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Low-Cost and Highly-Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates
PublicationThe awareness and practical benefits of behavioral modeling methods have been steadily growing in the antenna engineering community over the last decade or so. Undoubtedly, the most important advantage thereof is a possibility of a dramatic reduction of computational expenses associated with computer-aided design procedures, especially those relying on full-wave electromagnetic (EM) simulations. In particular, the employment of...
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Influence of e-beam irradiation on the dynamic creep and fatigue properties of poly(aliphatic/aromatic-ester) copolymers for biomedical applications
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Resveratrol enhances apoptosis induced by the heterocyclic aromatic amines in p53-wt LoVo cells, but not in p53-deficient HaCaT cells
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Berry fruit juices protect lymphocytes against DNA damage and ROS formation induced with heterocyclic aromatic amine PhIP
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Interplay of hydrogen bonding and aromatic ring interactions in supramolecular complexes of phenazine with N,N'-bis(2-pyridyl)aryldiamines
PublicationOtrzymano pięć krystalicznych kompleksów fenazyny z N,N'-bis(2-pirydylo)arylodiaminami i N'N'-difenylo-1,4-diamino-benzenem o różnej stechiometrii. Badania struktur tych kompleksów za pomocą metod rentgenograficznych wykazały, że powiązane wiązaniami wodorowymi typu NH...N cząsteczki fenazyny i arylodiamin układają się w stosy, które stabilizowane są poprzez oddziaływaniami typu π-π płaszczyzna-krawędź pierścieni aromatycznych....
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Opracowanie optymalnych warunków rozdzielania i identyfikacji metabolitów ro lin z rodzaju droseraceae, z zastosowaniem wysokosprawnej kolumnowej chromatografii cieczowej= A research on the composition of eluent for separation of plant metabolites by column reversed phase liquid chromatography
PublicationOd kilku lat na świecie trwają badania składników roślin owadożernych wykazujących atrakcyjne właściwości biologicznie czynne, tj. działanie przeciwbakteryjne, przeciwgrzybowe, antyoksydacyjne, a być może, także, przeciwnowotworowe. Pozyskiwanie substancji biologicznieaktywnych z materiału naturalnego, na drodze hodowli in vitro a następnie ekstrakcji i rozdzielania jest bardziej korzystne pod względem ekonomicznym, niż ich wytwarzanie...
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Influence of pH and low-molecular weight organic compounds in solution on selected spectroscopic and analytical parameters of flowing liquid anode atmospheric pressure glow discharge (FLA-APGD) for the optical emission spectrometric (OES) determination of Ag, Cd, and Pb
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Solubility Characteristics of Acetaminophen and Phenacetin in Binary Mixtures of Aqueous Organic Solvents: Experimental and Deep Machine Learning Screening of Green Dissolution Media
PublicationThe solubility of active pharmaceutical ingredients is a mandatory physicochemical characteristic in pharmaceutical practice. However, the number of potential solvents and their mixtures prevents direct measurements of all possible combinations for finding environmentally friendly, operational and cost-effective solubilizers. That is why support from theoretical screening seems to be valuable. Here, a collection of acetaminophen...
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Rain Gardens SW quality dataset
Open Research DataThis dataset contains the results of parameters of storm water runoff and storm water quality in rain garden units. Samples were collected from 4 different rain gardens in Gdansk, Poland.
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Tensile test of 1.4571 / X6CrNiMoTi17-12-2 / AISI 316Ti grade austenitic steel
Open Research DataShip structures and their components are build mainly of steel. Hull steel is used to build the hull structure. Some structural elements, such as RSW (Refrigerated See Water) tanks, or LNG (Liquid Natural Gas) tanks - gas transported at temperatures below -162° C, are build from austenitic steels. Austenitic steels have a different microstructure and...
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The results of analyses of deep excavation walls using two different methods of calculation
PublicationPrzedstawiono wyniki obliczeń obudowy głębokiego wykopu dwukrotnie rozpieranej i dwukrotnie kotwionej w gruncie jednorodnym niespoistym. Obliczenia numeryczne wykonano metodą podpór sprężysto-plastycznych i metodą elementów skończonych. Zwrócono uwagę na istotne różnice w wynikach obliczeń. Zaproponowano wyjaśnienie przyczyn zaobserwowanych różnic w wynikach obliczeń otrzymanych z obu metod.
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Brain-Inspired Deep Networks for Facial Expression Recognition. Frontiers in Biomedical Technologies
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Deep Infiltrating Endometriosis in Adolescence: Early Diagnosis and Possible Prevention of Disease Progression
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Deep brain stimulation in obsessive-compulsive disorder – case report of two patients
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Stratification of particulate organic carbon and nitrogen in the Gdańsk Deep (Southern Baltic Sea)
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Improved estimation of dynamic modulus for hot mix asphalt using deep learning
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Herstellung von Dichtwaenden in alten Deichen mittels der Deep Mixing Method
PublicationOpisano zastosowanie metody wgłębnego mieszania gruntu na mokro do wykonania przesłon przeciw filtracyjnych w wałach przeciwpowodziowych Wisły i Rudawy. Przytoczono pierwsze przykłady zastosowania w Polsce, obejmujące budowy w Krakowie (3) oraz w Tarnobrzegu (1). W Krakowie wykonano przesłonę zbrojoną dwuteownikami w celu posadowienia murków oporowych umieszczonych na koronie wału. W okolicach Wawelu przesłona umożliwia ustawienie...
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Comparison of Deep Neural Network Learning Algorithms for Mars Terrain Image Segmentation
PublicationThis paper is dedicated to the topic of terrain recognition on Mars using advanced techniques based on the convolutional neural networks (CNN). The work on the project was conducted based on the set of 18K images collected by the Curiosity, Opportunity and Spirit rovers. The data were later processed by the model operating in a Python environment, utilizing Keras and Tensorflow repositories. The model benefits from the pretrained...
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A survey of automatic speech recognition deep models performance for Polish medical terms
PublicationAmong the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....
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Autonomous Perception and Grasp Generation Based on Multiple 3D Sensors and Deep Learning
PublicationGrasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...
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Understanding the early-stage release of volatile organic compounds from rapeseed oil during deep-frying of tubers by targeted and omics-inspired approaches using PTR-MS and gas chromatography
PublicationDuring deep-frying, a plethora of volatile products is emitted with the fumes. These compounds could act as oil quality indicators and change the indoor air composition leading to health risks for occupants. The presented experiments focus on deep-frying of different tubers in rapeseed oil at different frying temperatures. Here, two scenarios for real-time monitoring of volatile organic compounds (VOCs) using proton transfer reaction...
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Zdzisław Kowalczuk prof. dr hab. inż.
PeopleZdzislaw Kowalczuk received his M.Sc. degree in 1978 and Ph.D. degree in 1986, both in Automatic Control from Technical University of Gdańsk (TUG), Gdańsk, Poland. In 1993 he received his D.Sc. degree (Dr Habilitus) in Automatic Control from Silesian Technical University, Gliwice, Poland, and the title of Professor from the President of Poland in 2003. Since 1978 he has been with Faculty of Electronics, Telecommunications and Informatics...
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The Effect of Cryogenic Treatment on Microstructure and Mechanical Response of AISI D3 Tool Steel Punches
PublicationRecently, deep cryogenic treatment is performed to improve the mechanical responses (wear, hardness, fatigue, and thermal conductivity) of various steel components. Researchers have tried to evaluate the eco-friendly and nontoxic process to optimize the parameters. Cold-shearing punches used to manufacture various holes that undergo severe impact loading and wear in the metal forming process. This study concerns the effect of soaking...
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The influence of synthetic polyhydroxybutyrate on selected properties of novel polyurethanes for medical applications. Part I. Polyurethanes with aromatic diisocyanates in hard segments
PublicationZsyntetyzowano poliuretany (PUR) z udziałem 37% segmentu sztywnego uzyskanego na etapie przedłużania łańcucha prepolimeru w reakcji 4,4â-diizocyjanianu difenylometanu (MDI) z 1,4-butanodiolem (1,4-BD). Segmenty giętkie wytworzonych PUR były zbudowane z poli([R,S]-3--hydroksymaoelanu) (a-PHB) i polikaprolaktonodiolu (PCL) lub z a-PHB i polioksytetrametylenodiolu(PTMG). Zbadano wpływ obecności w łańcuchu PUR syntetycznego a-PHB...
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Iso-Partricin, an Aromatic Analogue of Amphotericin B: How Shining Light on Old Drugs Might Help Create New Ones
PublicationPartricin is a heptaene macrolide antibiotic complex that exhibits exceptional antifungal activity, yet poor selective toxicity, in the pathogen/host system. It consists of two compounds, namely partricin A and B, and both of these molecules incorporate two cis-type bonds within their heptaenic chromophores: 28Z and 30Z. In this contribution, we have proven that partricins are susceptible to a chromophore-straightening photoisomerization...
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Jacek Namieśnik prof. dr hab. inż.
PeopleScientific discipline: chemistryRector in 2016-2019 He was born on 10 December, 1949 in Mogilno. He graduated in 1972 at the Faculty of Chemistry at Gdańsk University of Technology, obtaining a master's degree in chemical engineering. In 1972 he started working at Gdańsk University of Technology, where in 1978 he defended his doctoral thesis and in 1985 he completed his habilitation. He was appointed an associate professor in 1991...
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Specjacja fizyczna analitów z grupy wielopierścieniowych węglowodorów aromatycznych w środowisku wodnym = Physical speciation of polycyclic organic hydrocarbons in water environment
PublicationW oparciu o literaturę opisano zagadnienia związane ze specjacją fizyczną wielopierścieniowych węglowodorów aromatycznych w środowisku wodnym. Przedstawiono podstawowe zagadnienia związane z losami środowiskowymi tych związków oraz z ich fizyczną analityką specjacyjną.
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Porównanie mocy strat energetycznych w pompie wyporowej o zmiennej wydajności określonych bez uwzględnienia bądź z uwzględnieniem mocy ściskania oleju hydraulicznego
PublicationPorównano moce strat energetycznych w pompie wyporowej o zmiennej wydajności, określone bez uwzględnienia bądź z uwzględnieniem mocy ściskania oleju hydraulicznego. Ocena mocy ściskania cieczy w pompie stała się możliwa dzięki zastosowaniu, zaproponowanej przez autora, metody określenia stopnia zapowietrzenia cieczy w pompie. W metodzie określenia stopnia zapowietrzenia cieczy w pompie oraz w ocenie mocy strat objętościowych ściskania...