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Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions
PublikacjaElectrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG deals with the recording of electrical activity that is generated by the heart through the surface of the body. The electrical activity generated by the heart is measured using electrodes that are attached to the body surface. The use of ECG in the diagnosis and management of cardiovascular disease (CVD) has been in existence for over...
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Fast Real-Time RDFT- and GDFT-Based Direct Fault Diagnosis of Induction Motor Drive
PublikacjaThis paper presents the theoretical analysis and experimental verification of a direct fault harmonic identification approach in a converter-fed electric drive for automated diagnosis purposes. On the basis of the analytical model of the proposed real-time direct fault diagnosis, the fault-related harmonic component is calculated using recursive DFT (RDFT) and Goertzel DFT (GDFT), applied instead of the full spectrum calculations...
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The optimal mixture of Toxoplasma gondii recombinant antigens (GRA1, P22, ROP1) for diagnosis of ovine toxoplasmosis
PublikacjaToxoplasmosis, caused by Toxoplasma gondii, is the major parasitic disease affecting sheep. Infection not only results in significant reproductive losses in these animals, but has public health implications since consumption of infected meat can facilitate zoonotic transmission. Although several serological tests are currently used for diagnosis of ovine toxoplasmosis, production of reliable reagents is a constraint and therefore...
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PHYSICAL MODEL OF ENERGY-RELATED PROCESSES IN A ROTATING MECHANICAL SYSTEM FOR THE PURPOSES OF DIAGNOSIS OF TRANSMISSION SHAFTS
PublikacjaIn the present article, selected problems connected with identification of slowly changing energy-related processes accompanying high cyclic fatigue of construction materials of simple mechanical systems, with special consideration of transmission shafts, are mentioned for diagnostic purposes. The article also presents physical models of object and processes that in a simplified way reflect mechanical energy transmission from transmission...
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POEMS Syndrome: Real World Experience in Diagnosis and Systemic Therapy - 108 Patients Multicenter Analysis
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Condition monitoring and fault diagnosis of wind turbines based on structural break detection in SCADA data
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Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
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On the possibility of the application of magnetoacoustic emission intensity measurements for the diagnosis of thick-walled objects in the industrial environment
PublikacjaArtykuł przedstawia wyniki pomiarów sygnału emisji magnetoakustycznej (EMA) wykonanych na obiektach grubościennych w środowisku przemysłowym oraz omawia możliwe sposoby jego dalszej analizy. Pomimo tego, ze bezpośredni pomiar sygnału EMA nie pozwala na określenie jego natężenia w artykule wykazano, że możliwa jest separacja użytecznego sygnału od szumów tła albo poprzez analogowe filtrowanie sprzętowe albo poprzez cyfrową analizę...
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Probability measures of likelihood of diagnosis of the technical state of main combustion engines of sea-going ships
PublikacjaW artykule uzasadniono potrzebę rozróżniania pojęć wiarygodności diagnozy i trafności diagnozy przy podejmowaniu decyzji eksploatacyjnych. Wyprowadzono wzór na prawdopodobieństwo sformułowania prawidłowej diagnozy jako miary wiarygodności diagnozy. Do wyprowadzenia tego wzoru zastosowano teorię procesów semimarkowskich oraz wzór Bayesa na prawdopodobieństwo warunkowe. Podano także inne probabilistyczne miary wiarygodności diagnozy....
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Selected aspects of traction transformer diagnosis based on analysis of power looses in windings and the iron core
PublikacjaW rozdziale przedstawiono metodę diagnostyki detekcji uszkodzeń wewnętrznych uzwojeń transformatora trakcyjnego oparta na analizie strat mocy rozpraszanej wewnątrz transformatora. Straty mocy są powiekszane o szereg czynników świadczacych o uszkodzeniu transformatora takich jak: zwarcia zwojowe, asymetria uzwojeń, relaksacja naprężeń na stykach połaczeń, uszkodzenie izolacji pomiedzy blachami rdzenia itp. Proponowana metoda dokonuje...
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Performance of the AMOEBA Water Model in the Vicinity of QM Solutes: A Diagnosis Using Energy Decomposition Analysis
PublikacjaThe importance of incorporating solvent polarization effects into the modeling of solvation processes has been well-recognized, and therefore a new generation of hybrid quantum mechanics/molecular mechanics (QM/MM) approaches that accounts for this effect is desirable. We present a fully self-consistent, mutually polarizable QM/MM scheme using the AMOEBA force field, in which the total energy of the system is variationally minimized...
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Some methods of diagnosis of analog circuit using mixed signal test bus IEEE 1149.4
PublikacjaW artykule przedstawiono wybrane metody testowania i diagnostyki analogowych układów elektronicznych zamontowanych na pakiecie pomiędzy układami scalonymi wyposażonymi w magistralę IEEE 1149.4. Prezentowane metody dobrano pod kątem stopnia skomplikowania układów testowanych oraz specyficznych właściwości metrologicznych magistrali, które ograniczają możliwości pomiarowe i aplikacyjność metod. Rozważono trzy typy układów testowanych:...
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Fault diagnosis in electronic circuits based on bilinear transformation in 3-D and 4-D spaces
PublikacjaPrzedstawiono ideę nowych metod diagnostycznych 3-D i 4-D opartych na przek-ształceniu biliniowym. Metody te bazują na transformacjach operujących odpo-wiednio w trzy i czterowymiarowych przestrzeniach funkcji układowych. Dlatych metod omówiono algorytm lokalizacji i identyfikacji pojedynczych uszko-dzeń parametrycznych w liniowych układach elektronicznych oraz algorytm lo-kalizacji i identyfikacji pojedynczych uszkodzeń...
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Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
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Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis.
PublikacjaML algorithms are very effective tools for medical data analyzing, especially at image recognition. Although they cannot be considered as a stand-alone diagnostic tool, because it is a black-box, it can certainly be a medical support that minimize negative effect of human-factors. In high-risk domains, not only the correct diagnosis is important, but also the reasoning behind it. Therefore, it is important to focus on trustworthiness...
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New Two-center Ellipsoidal Basis Function Neural Network for Fault Diagnosis of Analog Electronic Circuits
PublikacjaIn the paper a new fault diagnosis-oriented neural network and a diagnostic method for localization of parametric faults in Analog Electronic Circuits (AECs) with tolerances is presented. The method belongs to the class of dictionary Simulation Before Test (SBT) methods. It utilizes dictionary fault signatures as a family of identification curves dispersed around nominal positions by component tolerances of the Circuit Under Test...
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Experimental validation of the use of energy transfer ratio (ETR) for damage diagnosis of steel-concrete composite beams
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Recommendations for the prevention, diagnosis and treatment of inFLUenza in adults for Primary care physiciAnS: FLU COMPAS PCP – ADULTS
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Potential clinical application of serum proteome mass spectrometry analyses in breast cancer patients diagnosis and management
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Analysis of Let-7 Family miRNA in Plasma as Potential Predictive Biomarkers of Diagnosis for Papillary Thyroid Cancer
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Efficiency of optical-electronic systems: methods application for the analysis of structural changes in the process of eye grounds diagnosis
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Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care
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Using a square-wave signal for fault diagnosis of analog parts of mixed-signal electronic embedded systems
PublikacjaArtykuł przedstawia nowe podejście do detekcji i lokalizacji pojedynczych katastroficznych i parametrycznych uszkodzeń części analogowych w mieszanych sygnałowo elektronicznych systemach wbudowanych. Podejście składa się z trzech etapów: tworzenia słownika uszkodzeń na podstawie krzywych identyfikacyjnych, etapu pomiarowego w którym układ badany pobudzany jest falą prostokątną generowaną przez mikrokontroler a odpowiedź jest próbkowana...
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Gynecological Fistulae—Has Anything Changed in the Diagnosis and Treatment over the Last Decade? A Narrative Literature Review
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Human Computer Interface for Tracking Eye Movements Improves Assessment and Diagnosis of Patients With Acquired Brain Injuries
PublikacjaOne of the first clinical signs differentiating the minimally conscious state from the vegetative state is the presence of smooth pursuit eye movements occurring in direct response to moving salient stimuli. Glasgow Coma Scale (GCS) is one of the most commonly used diagnostic tools for acute phase assessment of the level of consciousness, together with a neurological examination. These classic measures are limited to qualitative...
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FETAL DIAGNOSIS AND THERAPY
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Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
PublikacjaThis paper proposes a novel approach for intelligent fault diagnosis for stroke Diesel marine engines, which are commonly used in on-road and marine transportation. The safety and reliability of a ship's work rely strongly on the performance of such an engine; therefore, early detection of any type of failure that affects the engine is of crucial importance. Automatic diagnostic systems are of special importance because they can...
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DIAGNOSIS OF MALIGNANT MELANOMA BY NEURAL NETWORK ENSEMBLE-BASED SYSTEM UTILISING HAND-CRAFTED SKIN LESION FEATURES
PublikacjaMalignant melanomas are the most deadly type of skin cancer but detected early have high chances for successful treatment. In the last twenty years, the interest of automated melanoma recognition detection and classification dynamically increased partially because of public datasets appearing with dermatoscopic images of skin lesions. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task...
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Response to Letter to the Editor re ‘Urinary tract infection in children: Diagnosis, treatment, imaging – Comparison of current guidelines’
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GB-SAR in the Diagnosis of Critical City Infrastructure—A Case Study of a Load Test on the Long Tram Extradosed Bridge
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Updated principles of prevention, diagnosis and treatment of COVID-19 in children in Poland – recommendations for paediatricians and family medicine doctors
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Toxoplasma gondii: Usefulness of ROP1 recombinant antigen in an immunoglobulin G avidity assay for diagnosis of acute toxoplasmosis in humans
PublikacjaWyniki zawarte w niniejszej pracy pokazują, iż antygen rekombinantowy ROP1 Toxoplasma gondii może być użyteczny w wykrywaniu wczesnej fazy toksoplazmozy z zastosowaniem testu oznaczania awidności przeciwciał klasy IgG. W przeprowadzonych badaniach wykazano, że specyficzne przeciwciała o niskiej awidności były wykrywane w surowicach pacjentów z wczesną fazą choroby, natomiast przeciwciała o wysokiej awidności lub ich brak notowano...
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Presentation of Novel Architecture for Diagnosis and Identifying Breast Cancer Location Based on Ultrasound Images Using Machine Learning
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DNA methylation in cancer development, diagnosis and therapy-multiple opportunities for genotoxic agents to act as methylome disruptors or remediators
PublikacjaThe role of DNA methylation and recently discovered hydroxymethylation in the function of the human epigenome is currently one of the hottest topics in the life sciences. Progress in this field of research has been further accelerated by the discovery that alterations in the methylome are not only associated with key functions of cells and organisms, such as development, differentiation and gene expression, but may underlie a number...
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Advanced Sensor for Non-Invasive Breast Cancer and Brain Cancer Diagnosis Using Antenna Array with Metamaterial-Based AMC
PublikacjaMicrowave imaging techniques can identify abnormal cells in early development stages. This study introduces a microstrip patch antenna coupled with artificial magnetic conductor (AMC) to realize improved sensor for non-invasive (early-stage) breast cancer and brain cancer diagnosis. The frequency selectivity of the proposed antenna has been increased by the presence of AMC by creating an additional resonance at 2.276 GHz associated...
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Epidemiology, diagnosis, and prevention of tick-borne encephalitis in Poland and selected european countries – a position statement of the polish group of experts
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Response to the commentary on Clinical psychological diagnosis in children and adolescents: challenges and recommendations of consultants in clinical psychology: Matczak and Stańczak (2019)
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Simultaneous determination of creatinine and acetate by capillary electrophoresis with contactless conductivity detector as a feasible approach for urinary tract infection diagnosis
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A fault diagnosis method for analog parts of embedded systems based on time response and identification curves in the 3-D space
PublikacjaPrzedstawiono nową wersję 3-D nowej metody diagnostycznej części analogowych w mieszanych sygnałowo systemach wbudowanych bazujących na mikrokontrolerach. Bazuje ona na krzywych identyfikacyjnych w przestrzeni 3-D i pomiarze próbek napięcia odpowiedzi układu badanego na pobudzenie impulsem prostokątnym. Zalety metody: pomiary są wykonywane wyłącznie za pomocą urządzeń peryferyjnych popularnych mikrokontrolerów, procedura diagnostyczna...
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Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states
PublikacjaFault detection plays an important role in advanced control of complex dynamic systems since precise information about system condition enables efficient control. Data driven methods of fault detection give the chance to monitor the plant state purely based on gathered measurements. However, they especially nonlinear, still suffer from a lack of efficient and effective learning methods. In this paper we propose the two stages learning...
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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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A novel chemiluminescent immunoassay based on original acridinium ester labels as better solution for diagnosis of human toxoplasmosis than conventional ELISA test
PublikacjaToxoplasma gondii infection is one of the most common human zoonosis. Laboratory diagnosis of this disease is mainly based on the results of serological methods detecting specific antibodies in the patient’s sera. In this study we aimed to evaluate the performance of a chemiluminescence immunoassay (CLIA) based on the use of a novel immunochemical reagent in the form of the conjugate of original acridinium label (AL) attached to...
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A new human IgG avidity test, using mixtures of recombinant antigens (rROP1, rSAG2, rGRA6), for the diagnosis of difficult-to-identify phases of toxoplasmosis
PublikacjaThe preliminary diagnostic utility of two mixtures of Toxoplasma gondii recombinant antigens (rROP1+rSAG2 and rROP1+rGRA6) in IgG ELISA and IgG avidity test has been evaluated. A total of 173 serum samples from patients with toxoplasmosis and seronegative people were examined. The sensitivity of IgG ELISA for rROP1+rSAG2 and rROP1+rGRA6 was 91.1% and 76.7%, respectively, while the reactivity for sera from patients where acute toxoplasmosis...
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Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature
PublikacjaThis paper aims to propose complex Morlet (cmorfb-fc) wavelet-based refined damage-sensitive feature (rDSF) as a new and more precise damage indicator to diagnose seismic damages in adjacent steel and Reinforced Concrete (RC) Moment Resisting Frames (MRFs) assuming pounding conditions using acceleration responses. The considered structures include 6- and 9-story steel and 4- and 8-story RC benchmark MRFs that are assumed to have...
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Fatal sepsis in a pregnant woman with pyelonephritis caused by Escherichia coli bearing Dr and P adhesins: diagnosis based on postmortem strain genotyping
PublikacjaW pracy został opisany pierwszy śmiertelny przypadek młodej kobiety w ciąży z powodu przewlekłego zapalenia odmiedniczkowego nerek spowodowany przez szczepy E. coli z fimbriami typu Dr + i P. Badania pośmiertne wykazały, że śmierć nastąpiła z powodu posocznicy do której doszło na skutek zakażenia szczepami E. coli Dr + . Odmiedniczkowe zapalenie nerek w ciąży jest związane z wieloma powikłaniami, w tym ograniczeniem wzrostu płodu,...
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Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature
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Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature
PublikacjaThis paper aims to propose complex Morlet (cmorfb-fc) wavelet-based refined damage-sensitive feature (rDSF) as a new and more precise damage indicator to diagnose seismic damages in adjacent steel and Reinforced Concrete (RC) Moment Resisting Frames (MRFs) assuming pounding conditions using acceleration responses. The considered structures include 6- and 9-story steel and 4- and 8-story RC benchmark...
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Activation maps of convolutional neural networks as a tool for brain degeneration tracking in early diagnosis of dementia in Parkinson's disease based on magnetic resonance imaging
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Diagnosis of marine internal combustion engines by means of rapidly variable temperature and composition of exhaust gas as an alternative or support for currently used diagnostic methods
PublikacjaThe article points out relevance of parametric diagnostics of ship engines and analyzes the state of research in this field. A method is proposed for diagnosing engine systems on the basis of rapidly variable exhaust temperature while measuring its composition. A method for determining diagnoser tools from the signal within one engine cycle and mathematical and statistical treatment of test results is presented. The products of...
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Workshop on Fault Diagnosis and Tolerance in Cryptography
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