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Search results for: RDF DATASET PROFILING
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Utilizing Genome-Wide mRNA Profiling to Identify the Cytotoxic Chemotherapeutic Mechanism of Triazoloacridone C-1305 as Direct Microtubule Stabilization
PublicationRational drug design and in vitro pharmacology profiling constitute the gold standard in drug development pipelines. Problems arise, however, because this process is often dicult due to limited information regarding the complete identification of a molecule’s biological activities. The increasing aordability of genome-wide next-generation technologies now provides an excellent opportunity to understand a compound’s diverse eects...
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Metabolic profiling of pteridines for determination of potential biomarkers in cancer diseases
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Process of Medical Dataset Construction for Machine Learning-Multifield Study and Guidelines
PublicationThe acquisition of high-quality data and annotations is essential for the training of efficient machine learning algorithms, while being an expensive and time-consuming process. Although the process of data processing and training and testing of machine learning models is well studied and considered in the literature, the actual procedures of obtaining data and their annotations in collaboration with physicians are in most cases...
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Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation
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Molecular Profiling for Predictors of Radiosensitivity in Patients with Breast or Head-and-Neck Cancer
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Towards Gender Harmony Dataset: Gender Beliefs and Gender Stereotypes in 62 Countries
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A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
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Direct injection liquid chromatography-mass spectrometry (DI-LC-MS) analysis for rapid lipidomic profiling of extracellular vesicles
PublicationExtracellular vesicles (EVs) are small, spherical particles produced by eukaryotic and prokaryotic cells, surrounded by a bilayer membrane and carrying various bioactive molecules, such as proteins, surface receptors, membrane and soluble proteins, lipids, and nucleic acids. EVs are of substantial interest because of their important roles in cell communication, epigenetic regulation and possible application in disease diagnosis...
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Detrimental effects of chemotherapeutics and other drugs on the endothelium: A call for endothelial toxicity profiling
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Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations
PublicationDeployment of different techniques of deep learning including Convolutional Neural Networks (CNN) in image classification systems has accomplished outstanding results. However, the advantages and potential impact of such a system can be completely negated if it does not reach a target accuracy. To achieve high classification accuracy with low variance in medical image classification system, there is needed the large size of the...
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Proteomic profiling of exosomes derived from pancreatic beta-cells cultured under hyperglycemia
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Spectral profiling of radicals in polymer degradation based on electron spin resonance imaging (ESRI)
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MicroRNA profiling in a case-control study of African American women with uterine serous carcinoma
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Drug transporter expression profiling in chemoresistant variants of the A2780 ovarian cancer cell line
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Lobularia libyca: Phytochemical Profiling, Antioxidant and Antimicrobial Activity Using In Vitro and In Silico Studies
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Phytochemical Profiling, Mineral Elements, and Biological Activities of Artemisia campestris L. Grown in Algeria
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Transcriptomic profiling of the salt stress response in excised leaves of the halophyte Beta vulgaris ssp. maritima
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Extracellular Matrix Proteins Expression Profiling in Chemoresistant Variants of the A2780 Ovarian Cancer Cell Line
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Phytochemical Profiling and Larval Control of Erythrina variegata Methanol Fraction against Malarial and Filarial Vector
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Transcriptome profiling reveals distinctive traits of retinol metabolism and neonatal parallels in the MRL/MpJ mouse
PublicationBackground: The MRL/MpJ mouse is a laboratory inbred strain known for regenerative abilities which are manifested by scarless closure of ear pinna punch holes. Enhanced healing responses have been reported in other organs. A remarkable feature of the strain is that the adult MRL/MpJ mouse retains several embryonic biochemical characteristics, including increased expression of stem cell markers. Results: We explored the transcriptome...
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Identification of High-Value Dataset determinants: is there a silver bullet for efficient sustainability-oriented data-driven development?
PublicationOpen Government Data (OGD) are seen as one of the trends that has the potential to benefit the economy, improve the quality, efficiency, and transparency of public administration, and change the lives of citizens, and the society as a whole facilitating efficient sustainability-oriented data-driven services. However, the quick achievement of these benefits is closely related to the “value” of the OGD, i.e., how useful, and reusable...
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Cardiovascular, anthropometric, metabolic and hormonal profiling of normotensive women with polycystic ovary syndrome with and without biochemical hyperandrogenism
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Activity-based protein profiling guided identification of urine proteinase 3 activity in subclinical rejection after renal transplantation
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Determination of flavanols by liquid chromatography with fluorescence detection. Application to the characterization of cranberry-based pharmaceuticals through profiling and fingerprinting approaches
PublicationIn this work, a new method based on reversed-phase high-performance liquid chromatography (HPLC) with fluorescence detection (FLD) was established for the determination of catechins and related oligomeric proanthocyanidins (PACs) in cranberry-based pharmaceuticals. Compounds were recovered by liquid extraction using methanol/water/hydrochloric acid (60:39:1, v:v:v) as the extraction solvent. The chromatographic separation was carried...
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Plasma free amino acid profiling as metabolomic diagnostic and prognostic biomarker in paediatric cancer patients: a follow‑up study
PublicationAmino acids (AAs) play a crucial role in cancer cell metabolism. Levels of 22 plasma AAs at the time of diagnosis and after treatment were established among 39 pediatric cancer patients and 33 healthy children. Glutamic acid levels decreased and tryptophan levels increased during treatment. Cancer patients presented significantly lower levels of glutamine and leucine post-treatment while levels of 12 other AAs were higher comparing...
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Proteomic Profiling of Ectosomes Derived from Paired Urothelial Bladder Cancer and Normal Cells Reveals the Presence of Biologically-Relevant Molecules
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Substrate profiling of Finegoldia magna SufA protease, inhibitor screening and application to prevent human fibrinogen degradation and bacteria growth in vitro
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Correction to: Plasma free amino acid profiling as metabolomic diagnostic and prognostic biomarker in paediatric cancer patients: a follow-up study
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Phenol-rich alternatives for Rosa x damascena Mill. Efficient phytochemical profiling using different extraction methods and colorimetric assays
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Comparative Proteomic Profiling of Ectosomes Derived from Thyroid Carcinoma and Normal Thyroid Cells Uncovers Multiple Proteins with Functional Implications in Cancer
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Salinity enhances high optically active L-lactate production from co-fermentation of food waste and waste activated sludge: Unveiling the response of microbial community shift and functional profiling
PublicationLactic acid (LA), a versatile platform molecule, can be fermented from organic wastes, such as food waste and waste activated sludge. In this study, an efficient approach using salt, a component of food waste as an additive, was proposed to increase LA production. The LA productivity was increased at 10 g NaCl/L and optical pure L-lactate was obtained at 30 g NaCl/L. The enhancement of LA was in accordance with the increased solubilization...
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Współprądowe zgazowanie wtórnego paliwa odpadowego
PublicationW niniejszej pracy analizie poddano proces zgazowania wtórnego paliwa odpadowego, RDF. Paliwo to jest kłopotliwe dla stabilnego prowadzenia procesu ze względu na powstawanie spieków powodujących zalepianie się reaktora i dużych oporów przepływów gazów procesowych. Poprawę warunków procesu uzyskano stosując mieszaninę RDF ze zrębkami drzewnymi w stosunku 1:1. Jednak syngaz uzyskany w procesie zgazowania tej mieszaniny charakteryzował...
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Modele semantyczne wymiany informacji o stanie systemu elektroenergetycznego
PublicationZaprezentowano Common Information Model CIM opracowany w Electric Power Research Institute EPRI w USA. Model ten wypełnia brak uniwersalnego języka opisu topologii i stanu sieci elektroenergetycznej. Stworzony został na potrzeby integracji narzędzi stosowanych przez podmioty sektora elektroenergetycznego. CIM wykorzystuje RDF Schema Definition (RDFS) i RDF. Na tle tego standardu przedstawiono własny zestaw pojęć mapujący meta-ontologię...
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Reguły efektywnego projektowania semantycznych usług WWW
PublicationW pracy omówiono kluczowe zasady projektowania usług semantycznych w Internecie. Nawiązano do reguł formalizacji wiedzy za pomocą systemów ontologicznych, dla których implementacji opracowano języki programowania OWL i KIF. Odniesiono się także do sieci semantycznych jako metody sztucznej inteligencji w kontekście założeń projektu Web 3.0. Omówiono zasady stosowania języków XML, XML Schema, RDF, RDF Schema, OWL, SPARQL, a także...
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Biblioteki cyfrowe budowane w oparciu o oprogramowanie JeromeDL
PublicationOmówiono podstawowe możliwości JeromeDL, oprogramowania do budowy bibliotek cyfrowych, stosującego rozwiązania sieci semantycznych (RDF, DublinCore) oraz standardy biblioteczne (MARC21, BibTeX). Przedstawiono mpraktyczne zastosowaniaoprogramowania JeromeDL do tworzenia bibliotek cyfrowych w Bibliotece Głównej Politechniki Gdańskiej (WBSS PG) i Bibliotece Głównej Politechniki Warszawskiej.
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Wideband Radio Direction Finder Implemented in Software Defined Radio Technology
PublicationIn the paper a wideband radio direction finder (RDF) implemented in software defined radio (SDR) technology and the results of hardware layer research, including developed antenna switching unit (ASU), are presented. The results of tests of the devices, which are the part of the software defined radio platform (SDRP), and antenna switching unit, confirmed the possibility of using selected components in the final solution.
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On-line measurement of wood surface smoothness
PublicationThe latest progress in the field of optics and microelectronics resulted in development of new generation vision systems capable of scanning surface topography with very high sampling frequencies. The blue color of illuminating light as well as novel systems for controlling ultra-thin laser line thickness allows measurement of the porous surface of wood with a triangulation method. Three alternative sensors were tested here in...
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Semantic technologies based method of collection, processing and sharing information along food chain
PublicationIn the paper the method of collecting, processing and sharing information along food chain is presented. Innovative features of that method result from advantages of data engineering based on semantic technologies. The source to build ontology are standards and regulations related to food production, and data collected in databases owned by food chain participants. It allows food chain information resources can be represented in...
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Ontologie w systemach informatycznych
PublicationZakres monografii obejmuje wybór majważniejszych zagadnień inżynierii wiedzy opartej na podejściu ontologicznym. Omawiane są ramy Minsky'ego, sieci semantyczne, standardy RDF, OWL i SPARQL. Prezentowane są też podstawy teoretyczne nowoczesnych technologii semantycznych, w szczególności rozstrzygalny fragment logiki pierwszego rzędu zwany logiką opisową (ang. Description Logics, DL). Omawia sie algorytmy wnioskowania z ontologii...
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High-Resolution Wind Wave Parameters in the Area of the Gulf of Gdańsk During 21 Extreme Storms
PublicationThis dataset contains the results of wind-wave parameter modelling in the area of the Gulf of Gdańsk (Southern Baltic). For the simulations, a high resolution SWAN model was used. The dataset consists of the significant wave height, the direction of the wave approaching the shore and the wave period during 21 historical, extreme storms. The storms were selected by an automatic search over the 44-year-long significant wave height...
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Mechanical Properties of Human Stomach Tissue
PublicationThe dataset entitled Determination of mechanical properties of human stomach tissues subjected to uniaxial stretching contains: the length of the sample as a function of the corresponding load (tensile force) and the initial values of the average width and average thickness of the sample. All tests were conducted in a self-developed tensile test machine: PG TissueTester. The dataset allows the coefficients of various models of...
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Vehicle Detection and Speed Estimation Using Millimetre Wave Radar
PublicationThe dataset titled Data from 76- to 81-GHz mmWave Sensor located at S7 road contains data recorded employing an IWR1642 mmWave sensor from Texas Instruments. The data comes from two sessions lasting 24h each. The dataset provides the possibility to perform analyses related to car traffic intensity on one of the carriageways of the motorway heading to the Gdańsk metropolitan area. Based on the gathered data, it is possible to calculate...
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Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation
PublicationModern data acquisition technologies provide large datasets that are not always necessary in its entirety to properly accomplish the goal of the study. In addition, such datasets are often cumbersome for rational processing, and their processing is time and labour consuming. Therefore, methods that enable to reduce the size of the measurement dataset, such as the generalization of the Digital Terrain Model (DTM) or the reduction...
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New sample preparation strategies for comprehensive lipidomics of human breast milk
PublicationGLOBAL PROFILING ANALYSIS OF HUMAN BREAST MILK (HBM) LIPIDS IS HINDERED BY COMPLEX COMPOSITION OF HBM. THIS PROBLEM IS HUGE FROM ANALYTICAL POINT OF VIEW, SINCE DUE TO THAT DETECTION OF ALL HBM LIPIDS DURING ONE ANALYTICAL RUN IS LIMITED. THUS, SAMPLE PREPARATION STEP CONSTITUTES A CRUCIAL STEP IN UNTARGETED LIPIDOMIC ANALYSIS OF HBM, ESPECIALLY WHEN SEMI-QUANTITATIVE ANALYSIS IS ASSUMED. HEREIN, WE PRESENT A COMPARISON OF PUBLISHED...
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Using Convolutional Neural Networks for Corneal Arcus Detection Towards Familial Hypercholesterolemia Screening
PublicationFamilial hypercholesterolemia (FH) is a highly undiagnosed disease. Among FH patients, the onset of premature coronary artery disease is 13 times higher than in the general population. Early diagnosis and treatment is essential to prevent cardiovascular diseases and their complications, and to prolong life. One of the clinical criteria of FH is the occurrence of a corneal arcus (CA) among patients, especially those under 45 years...
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Review of the Complexity of Managing Big Data of the Internet of Things
PublicationTere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...
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Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit
PublicationIn the present scenario, air quality prediction (AQP) is a complex task due to high variability, volatility, and dynamic nature in space and time of particulates and pollutants. Recently, several nations have had poor air quality due to the high emission of particulate matter (PM2.5) that affects human health conditions, especially in urban areas. In this research, a new optimization-based regression model was implemented for effective...
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The OptD-multi method in LiDAR processing
PublicationNew and constantly developing technology for acquiring spatial data, such as LiDAR (light detection and ranging), is a source for large volume of data. However, such amount of data is not always needed for developing the most popular LiDAR products: digital terrain model (DTM) or digital surface model. Therefore, in many cases, the number of contained points are reduced in the pre-processing stage. The degree of reduction is determined...
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Style Transfer for Detecting Vehicles with Thermal Camera
PublicationIn this work we focus on nighttime vehicle detection for intelligent traffic monitoring from the thermal camera. To train a Convolutional Neural Network (CNN) detector we create a stylized version of COCO (Common Objects in Context) dataset using Style Transfer technique that imitates images obtained from thermal cameras. This new dataset is further used for fine-tuning of the model and as a result detection accuracy on images...
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Crack Mouth Opening Displacement for EH36 Shipbuilding Steel Measurements
PublicationThe dataset titled EH36 steel for shipbuilding (plate thicnkness 50mm) - CMOD - force record, a0/W = 0.6 contains CMOD (Crack Mouth Opening Displacement) - Force record which is the base for evaluation of fracture toughness of structural steel. Bend specimens witch Bx2B section (B= 50mm), and relative initial crack length a0 / W = 0.60 were used. The test was carried out at ambient temperature in accordance to ISO 12135 standard....