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Wyniki wyszukiwania dla: radiology informatics
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Information based integration for complex systems. W: Knowledge and infor-mation technology management in the 21st century organizations. Ed. A. Gu- nasekaran, O. Khalil, M.R. Syed. London: Idea**2002 s. 89-104 Informacyjna integracja systemów złożonych.
PublikacjaW rozdziale zaproponowano strukturę inteligentnego systemu wspomagania pro-cesu integracji dla złożonych systemów wytwarzania. System wspomagania opar-to na bazie wiedzy, w której wiedza modelowana jest regulami produkcji. Zbu-dowano również iteracyjny algorytm integracji. Samą ideę integracji opartona przepływach informacyjnych.
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Eksprtna sistema proektirovani sudovyh sistem avtomatiki. Izv. SPGETU** 2002 ser. ''Informatika, upravlenie i komp´ternye tehnologii'' vyp. 1 c. 1-8 1 rys. bibliog. 4 poz. System ekspertowy projektowania okrętowych systemów automatyki.
PublikacjaSystem ekspertowy opracowany w wyniku analizy procesów projektowych systemówautomatyki. System zawiera bazę danych oraz metody i procedury projektowaniawspółpracujących z pakietem programów MATLAB Simulink i bazą wiedzy. Wyko-rzystano system ekspertowy Exsys Developer, a bazę danych w oparciu o systemMS Access 7.
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Cytokeratin 8 in venous grafts: A factor of unfavorable long-term prognosis in coronary artery bypass grafting patients
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Uric acid and xantine-oxidase inhibitors in patients with gout: A re-assessment and an update
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Expert consensus for the diagnosis and treatment of patient with hyperuricemia and high cardiovascular risk
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Left ventricular function after takotsubo is not fully recovered in long-term follow-up: A speckle tracking echocardiography study
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Epilepsy and hypertension: The possible link for sudden unexpected death in epilepsy?
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A pilot study with flow mediated skin fluorescence: A novel device to assess microvascular endothelial function in coronary artery disease
PublikacjaBackground: Endothelial dysfunction is one of the earliest vascular manifestations in the pathogenesis of cardiovascular disease. Noninvasive, simple and inexpensive methods of endothelial function assessment are therefore needed. Methods: Microvascular endothelial function was assessed in coronary artery disease (CAD) patients by flow mediated skin fluorescence (FMSF), based on measurements of NADH fluorescence intensity during...
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Comparison of two infant chest compression techniques during simulated newborn cardiopulmonary resuscitation performed by a single rescuer: A randomized, crossover multicenter trial
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How should we teach cardiopulmonary resuscitation? Randomized multi-center study
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AngioScore: An artificial intelligence tool to assess coronary artery lesions
PublikacjaThe functionality scope of the AngioScore tool in semi-automatic assessment of stenoses according to the SYNTAX scale was presented. An evaluation of the preliminary accuracy of AngioScore in lesion assessment was performed.
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Catheter-induced coronary artery and aortic dissections. A study of the mechanisms, risk factors, and propagation causes
PublikacjaBackground: Only the incidence, management, and prognosis of catheter-induced coronary artery and aortic dissections have been systematically studied until now. We sought to evaluate their mechanisms, risk factors, and propagation causes. Methods: Electronic databases containing 76,104 procedures and complication registries from 2000– –2020 were searched and relevant cineangiographic studies adjudicated. Results: Ninety-six dissections...
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The non-invasive evaluation of heart function in patients with an acute myocardial infarction: The role of impedance cardiography
PublikacjaBackground: The purpose of this study was to analyze hemodynamic changes in patients treated with percutaneous coronary intervention (PCI) at an early stage of acute myocardial infarction (AMI) and at one-month follow-up. Methods: Patients with AMI (n = 27) who underwent PCI were analyzed using impedance cardiography (ICG). ICG data were collected continuously (beat by beat) during the whole PCI procedure and thereafter at every...
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Zanieczyszczenie obecne w próbkach śniegu pobranego z warstw jako źródło informacji o stanie środowiska w dużej aglomeracji miejskiej = Pollutants present in snow samples collected from various layers of snow cover as a source of information about the state of environment in a big urban agglomeration
PublikacjaPróbki śniegu pobierano przez okres około miesiąca z 12 miejsc zlokalizowanych na terenie Trójmiasta. Sześć z nich znajdowało się w pobliżu dróg komunikacyjnych o różnym natężeniu ruchu. Każde z nich miało swój punkt odniesienia oddalony od niego o około 200 m. W próbkach śniegu oznaczano pH, przewodność, zawartość wybranych anionów i kationów. Wartości pH wyznaczono przy użyciu elektrody szklanej połączonej z pH/tlenomierzem mikrokomputerowym,...
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Corrigendum to “T1 relaxation time callibration in magnetic resonance imaging using nanodiamond phantoms” [Phys Med 94 (2022) S119–S120/EPV029]
PublikacjaThe authors want to update the incorrect funding information. The correct funding note is: “The authors acknowledge the financial support from Gdańsk University of Technology by the 4/2020/IDUB/III.4.1/Tc grant under the Technetium Talent Management Grants ‘Excellence Initiative – Research University’. The financial support from Gdańsk University of Technology by the 1/2021/IDUB/II.2/Np grant under NEPTUNIUM Enhancing Baltic Region...
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Distributed Representations Based on Geometric Algebra: the Continuous Model
PublikacjaAuthors revise the concept of a distributed representation of data as well as two previously developed models: Holographic Reduced Representation (HRR) and Binary Spatter Codes (BSC). A Geometric Analogue (GAc - ''c'' stands for continuous as opposed to its discrete version) of HRR is introduced - it employs role-filler binding based on geometric products. Atomic objects are real-valued vectors in n-dimensional Euclidean space...
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An Evaluation Engine for Dynamic Ranking of Cloud Providers
PublikacjaThe paper focuses on creation of an effective dynamic ranking service for IaaS, PaaS and SaaS cloud providers. It considers building a quality model for this purpose along with definition of quality measure- ment procedures. The paper discusses several techniques known from already existing price comparison engines that could be modified and adopted for comparison of cloud providers. A technique for filtering measured data is proposed,...
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Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets
PublikacjaThis paper is devoted to the problem of class imbalance in machine learning, focusing on the intrusion detection of rare classes in computer networks. The problem of class imbalance occurs when one class heavily outnumbers examples from the other classes. In this paper, we are particularly interested in classifiers, as pattern recognition and anomaly detection could be solved as a classification problem. As still a major part of...
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The Acid Strength of the Lewis‐Brønsted Superacids – A QSPR Study
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QSAR, QSPR and QSRR in Terms of 3-D-MoRSE Descriptors for In Silico Screening of Clofibric Acid Analogues
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A Point Set Connection Problem for Autonomous Mobile Robots in a Grid
PublikacjaConsider an orthogonal grid of streets and avenues in a Manhattan-like city populated by stationary sensor modules at some intersections and mobile robots that can serve as relays of information that the modules exchange, where both module-module and module-robot communication is limited to a straight line of sight within the grid. The robots are oblivious and move asynchronously. We present a distributed algorithm that, given...
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Do personality traits influence the user’s behavioral intention to adopt and use Open Government Data (OGD)? An empirical investigation
PublikacjaThe academic interest in the Open Government Data (OGD) domain has been burgeoning over the years. Conceding that the prime focus of an OGD initiative is its further re-use for value creation and innovation by stakeholders, the present study seeks to underscore the role of HEXACO personality traits on behavioral intention (BI) to adopt and use OGD in developing countries' context. We investigate the direct, indirect, and moderating...
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Application of a stochastic compartmental model to approach the spread of environmental events with climatic bias
PublikacjaWildfires have significant impacts on both environment and economy, so understanding their behaviour is crucial for the planning and allocation of firefighting resources. Since forest fire management is of great concern, there has been an increasing demand for computationally efficient and accurate prediction models. In order to address this challenge, this work proposes applying a parameterised stochastic model to study the propagation...
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An intelligent cellular automaton scheme for modelling forest fires
PublikacjaForest fires have devastating consequences for the environment, the economy and human lives. Understanding their dynamics is therefore crucial for planning the resources allocated to combat them effectively. In a world where the incidence of such phenomena is increasing every year, the demand for efficient and accurate computational models is becoming increasingly necessary. In this study, we perform a revision of an initial proposal...
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Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams
PublikacjaThe paper investigates parallel data processing in a hybrid CPU+GPU(s) system using multiple CUDA streams for overlapping communication and computations. This is crucial for efficient processing of data, in particular incoming data stream processing that would naturally be forwarded using multiple CUDA streams to GPUs. Performance is evaluated for various compute time to host-device communication time ratios, numbers of CUDA streams,...
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Non-vitamin K antagonist oral anticoagulants (NOACs) in cancer patients with atrial fibrillation
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Clot Lysis Time Predicts Stroke During Anticoagulant Therapy in Patients with Atrial Fibrillation
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Premature cardiovascular mortality in lymphoma patients treated with (R)-CHOP regimen — A national multicenter study
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Acute decompensated heart failure as a reason of premature chemotherapy discontinuation may be independent of a lifetime doxorubicin dose in lymphoma patients with cardiovascular disorders
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Long-term effects of device-guided slow breathing in stable heart failure patients with reduced ejection fraction
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Relationship between selected DNA polymorphisms and coronary artery disease complications
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Effect of beta-blocker therapy on heart rate response in patients with hypertension and newly diagnosed untreated obstructive sleep apnea syndrome
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Obstructive sleep apnea and hypertension
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The effects of statins on blood pressure in normotensive or hypertensive subjects — A meta-analysis of randomized controlled trials
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Contribution of arterial excess pressure and arterial stiffness to central augmentation pressure in healthy subjects
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Classic electrocardiogram-based and mobile technology derived approaches to heart rate variability are not equivalent
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Aortic excess pressure and arterial stiffness in subjects with subclinical white matter lesions
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Prognosis after acute coronary syndrome in relation with ventricular–arterial coupling and left ventricular strain
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The Effect of Antihypertensive Drugs on NADH in Newly Diagnosed Primary Hypertension
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Augmentation index, pulse pressure amplification and superoxide anion production in patients with coronary artery disease
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Partitioning total heart rate variability
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Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations
PublikacjaThe research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...
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Assessment Of the Relevance of Best Practices in The Development of Medical R&D Projects Based on Machine Learning
PublikacjaMachine learning has emerged as a fundamental tool for numerous endeavors within health informatics, bioinformatics, and medicine. However, novices among biomedical researchers and IT developers frequently lack the requisite experience to effectively execute a machine learning project, thereby increasing the likelihood of adopting erroneous practices that may result in common pitfalls or overly optimistic predictions. The paper...
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An efficient algorithm for finding ideal schedules
PublikacjaPodejmujemy problem szeregowania zadań jednostkowych z zadanymi czasamy przybycia i zależnościami kolejnościowymi. Uszeregowanie jest idealne jeśli jednocześnie minimalizuje maksymalny oraz średni czas zakończenia zadania. Podajemy przyklad pokazujący, że uszeregowania idealne nie istnieją dla relacji zależności zadań będącej drzewem, gdy dopuścimy możliwość wystąpienia przerwań. Z drugiej strony podajemy algorytm o złożoności...
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NUTRITIONAL AND PHARMACEUTICAL APPLICATIONS OF BIOACTIVE COMPOUNDS IN TROPICAL FRUITS
PublikacjaDuring the past two decades our international scientific group investigated in vitro the physicochemical and nutritional characteristics of some cultivars of durian at various stages of ripening, mangosteen and new cultivars of snake fruit in comparison with widely used avocado, kiwifruit and mango, and in vivo their influence on laboratory animals. The main objective of the present study was to screen and compare the properties...
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Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier
PublikacjaIn recent years, a lot of attention has been paid to using radiology imaging to automatically find COVID-19. (1) Background: There are now a number of computer-aided diagnostic schemes that help radiologists and doctors perform diagnostic COVID-19 tests quickly, accurately, and consistently. (2) Methods: Using chest X-ray images, this study proposed a cutting-edge scheme for the automatic recognition of COVID-19 and pneumonia....
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Increasing K-Means Clustering Algorithm Effectivity for Using in Source Code Plagiarism Detection
PublikacjaThe 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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Clinical anatomy of the spatial structure of the right ventricular outflow trac
PublikacjaBackground. The right ventricular outflow tract (RVOT) is located above the supraventricular crest and reaches the level of the pulmonary valve. Detailed knowledge of the RVOT spatial structure and its morphology is extremely important for cardiac invasive therapeutic procedures. Objectives. To examine the spatial structure of the RVOT using virtual models of the right ventricle (RV) interior obtained post mortem. Material and...
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Leakage detection and localisation in drinking water distributionnetworks by MultiRegional PCA
PublikacjaMonitoring is one of the most important steps in advanced control of complex dynamic systems. Precise information about systems behaviour, including faults indicating, enables for efficient control. The paper describes an approach to detection and localisation of pipe leakage in Drinking Water Distribution Systems (DWDS) representing complex and distributed dynamic system of large scale. Proposed MultiRegional Principal Component...
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Quality of service in optical burst switched networks
PublikacjaIn the paper analytical models of two service differentiation schemes for optical burst switched network: extended offset time based and PPS (Preemptive Priority Scheme) are revised. Also accordance of analytical models for those schemes is studied when complete class isolation is assumed. Furthermore authors introduce an analytical model which describes an effective degree of isolation when burst switched network employs both...