Autor: Momot, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Digital signal processing in ECG recorder with python-based software
Autorzy:: Kosiński, W.
Owczarek, A.
Jarocki, B.
Momot, M.
Płaczek, M.
Zegartowski, G.
Gacek, A.
Powiązania:: https://bibliotekanauki.pl/articles/333978.pdf
Data publikacji:: 2003
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: elektrokardiografia
urządzenie rejestrujące EKG
detekcja QRS
cyfrowe przetwarzanie sygnału
język programowania Python
electrocardiography
ECG recorder
QRS detection
digital signal processing
Python language
Linux
open source
Opis:: The aim of the paper is to present the possibilities and the advantages of using open source solution like Python and Linux in medical application development. An implementation of the QRS detection and classification is described as an example of integration of C++ and DSP toolkit in a Python application.
Źródło:: Journal of Medical Informatics & Technologies; 2003, 6; IT61-68
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Reliability Design of Complex Systems by Minimizing the Lifetime Variance
Autorzy:: Łobos, E.
Momot, M.
Powiązania:: https://bibliotekanauki.pl/articles/908509.pdf
Data publikacji:: 2002
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: matematyka
reliability
constant failure rate
redundancy
Opis:: The problem considered in this paper is the minimization of the lifetime variance of a complex system subject to its expected life and economic constraints. The example of a bridge network, in which all elements have constant failure rates, illustrates the problem. A numerical algorithm for solving this optimization problem by using exact formulae for system lifetime moments is included. Using this algorithm, we can obtain results better than the solutions known from earlier papers.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2002, 12, 4; 553-557
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Comparison of instantaneous fetal heart rate extracted from abdominal and direct fetal electrocardiograms
Autorzy:: Matonia, A.
Kupka, T.
Jezewski, J.
Momot, A.
Jeżewski, M.
Bernys, M.
Powiązania:: https://bibliotekanauki.pl/articles/333262.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: monitorowanie płodu
elektrokardiografia płodu
tętno płodu
fetal monitoring
fetal electrocardiography
fetal heart rate
Opis:: This work is an attempt to assess the reliability of indirect abdominal electrocardiography as an alternative technique of fetal monitoring. As a reference signal we used the simultaneously acquired direct fetal electrocardiogram. Each recording consisted of four signals acquired from maternal abdomen and the reference signal acquired directly from fetal head. The first stage of our study concerned the signal loss episodes. In order to reduce the influence of incorrectly detected R-waves, some certain validation rules were applied. In the second stage, the corresponding intervals determined on basis of both acquisition methods were matched and the accuracy of fetal heart rate measurement was evaluated. Although the accuracy of abdominal electrocardiography turned out to be slightly lower than reported for ultrasound method, it still has some unique features deciding of its prevalence in a certain circumstances.
Źródło:: Journal of Medical Informatics & Technologies; 2012, 19; 101-107
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Empirical Bayesian averaging method and its application to noise reduction in ECG signal
Autorzy:: Momot, A.
Momot, M.
Łęski, J.
Powiązania:: https://bibliotekanauki.pl/articles/333575.pdf
Data publikacji:: 2006
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: sygnał EKG
średnia ważona
wnioskowanie bayesowskie
ECG signal
weighted averaging
Bayesian inference
Opis:: An electrocardiogram (ECG) is the prime tool in non-invasive cardiac electrophysiology and has a prime function in the screening and diagnosis of cardiovascular diseases. However one of the greatest problems is that usually recording an electrical activity of the heart is performed in the presence of noise. The paper presents empirical Bayesian approach to problem of signal averaging which is commonly used to extract a useful signal distorted by a noise. The averaging is especially useful for biomedical signal such as ECG signal, where the spectra of the signal and noise significantly overlap. In reality the variability of noise can be observed, with power from cycle to cycle, which is motivation for weighted averaging methods usage. It is demonstrated that by exploiting a probabilistic Bayesian learning framework, it can be derived accurate prediction models offering significant additional advantage, namely automatic estimation of 'nuisance' parameters. Performance of the new method is experimentally compared to the traditional averaging by using arithmetic mean and weighted averaging method based on criterion function minimization.
Źródło:: Journal of Medical Informatics & Technologies; 2006, 10; 93-101
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Filtering of two-dimensional digital images using weighted averaging for adaptive selection of weights
Autorzy:: Momot, A.
Wrobel, J.
Horoba, K.
Jeżewski, M.
Bernys, M.
Powiązania:: https://bibliotekanauki.pl/articles/951702.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: filtracja obrazów
ważone uśrednianie
image filtering
weighted averaging
adaptive selection of weights
Opis:: Many digital images, especially in biomedical fields, contain some disturbances. The image analysis depends on quality of the images that is why reduction or elimination (if it is possible) the disturbances is the key issue. There are many methods of improvement in the quality of the images and thus improve the quality of the image analysis, among them one of the simplest method is low-pass filtering such as arithmetic mean or its generalization, weighted mean. The basic problem of the weighted mean is the proper selection of the weights. This can be done using adaptive algorithms. This paper presents several such algorithms which are modifications of the existing weighted averaging methods created originally for noise reduction in electrocardiographic signal. The description of the new filtering methods and a few results of its application are also presented with comparison to existing arithmetic average filtering.
Źródło:: Journal of Medical Informatics & Technologies; 2012, 20; 93-99
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Sparse Bayesian learning in classifying face feature vectors
Autorzy:: Momot, A.
Kawulok, M.
Powiązania:: https://bibliotekanauki.pl/articles/333794.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wnioskowanie bayesowskie
rozpoznanie twarzy
supervised learning
Bayesian inference
face recognition
Opis:: The Relevance Vector Machine (RVM), a Bayesian treatment of generalized linear model of identical functional form to the Support Vector Machine (SVM), is the recently developed machine learning framework capable of building simple models from large sets of candidate features. The paper describes the application of the RVM to a classification algorithm of face feature vectors, obtained by Eigenfaces method. Moreover, the results of the RVM classification are compared with those obtained by using both the Support Vector Machine method and the method based on the Euclidean distance.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 151-158
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: The Fuzzy Relevance Vector Machine and its application to noise reduction in ECG signal
Autorzy:: Momot, A.
Momot, M.
Łęski, J.
Powiązania:: https://bibliotekanauki.pl/articles/333828.pdf
Data publikacji:: 2005
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: systemy rozmyte
wnioskowanie bayesowskie
sygnał EKG
fuzzy systems
Bayesian inference
ECG signal
Opis:: The paper presents new method called the Fuzzy Relevance Vector Machine (FRVM), a modification of the relevance vector machine, introduced by M. Tipping, applied to learning Takagi-Sugeno-Kang (TSK) fuzzy system. Moreover it describes application of the FRVM to noise reduction in ECG signal. The results of the process are compared to those obtained using both Least Squares method for learning output functions in TSK rules and commonly used method using a low-pass moving average filter.
Źródło:: Journal of Medical Informatics & Technologies; 2005, 9; 99-105
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Weighted averaging of ECG signals based on partition of input set in time domain
Autorzy:: Momot, A.
Momot, M.
Łęski, J.
Powiązania:: https://bibliotekanauki.pl/articles/333836.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: sygnał EKG
ważone uśrednianie
redukcja hałasu
ECG signal
weighted averaging
noise reduction
Opis:: The paper presents new approach to problem of signal averaging which is commonly used to extract a useful signal distorted by a noise. The averaging is especially useful for biomedical signal such as ECG signal, where the spectra of the signal and noise significantly overlap. In reality can be observed variability of noise power from cycle to cycle which is motivation for using methods of weighted averaging. Performance of the new method, based on partition of input set in time domain and criterion function minimization, is experimentally compared with the traditional averaging by using arithmetic mean, weighted averaging method based on empirical Bayesian approach and weighted averaging method based on criterion function minimization.
Źródło:: Journal of Medical Informatics & Technologies; 2007, 11; 165-170
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Characteristic points detection in ECG signal using Bayesian learning and fuzzy system
Autorzy:: Momot, M.
Momot, A.
Powiązania:: https://bibliotekanauki.pl/articles/333840.pdf
Data publikacji:: 2007
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: sygnał EKG
systemy rozmyte
ECG signal
fuzzy systems
bayesian learning
Opis:: Characteristic points detection such as beginnings and ends of P-wave, T-wave or QRS complex is one of primary aims in automated analysis of ECG signal. The paper presents one possible approach based on Bayesian inference to design of kernel based classifier. The classification function is constructed using the probability distribution function of standard normal distribution and independent Gaussian random variables. The parameters of such variables are computed using iterative Expectation-Maximization algorithm. This approach is used to calculate parameters of classification function to modelling Takagi-Sugeno-Kang fuzzy systems. Numerical experiment of characteristic points detection in ECG signal using CTS database is also presented.
Źródło:: Journal of Medical Informatics & Technologies; 2007, 11; 171-176
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Detection of human fall episodes based on coordinates of body tags and numerical differentiation
Autorzy:: Momot, M.
Momot, A.
Nowak, G.
Seredynski, R.
Jezewski, J.
Kupka, T.
Powiązania:: https://bibliotekanauki.pl/articles/333630.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: otoczenie
wspieranie życia
dane nieregularne objęte próbą
zróżniczkowanie numeryczne
ambient
assisted living
fall detection
irregular sampled data
numerical differentiation
Opis:: This paper presents a new method for detection of changes in alignment of the human body, particularly the fall, on the basis of signals acquired from the position sensors placed on the body of the monitored person. The sensors are located on the cuffs, waist and chest. Transformation of data sequence collected from sensors is proposed in order to best distinguish between the collapse from the normal movement. It is based on nonlinear combination of the first two derivatives of the signals being read. Because data from the sensors is sent asynchronously, a numerical algorithm for unevenly sampled data differentiation is proposed. Derivative values are calculated in equidistant nodes through differentiation of a polynomial, which is adjusted by minimizing the mean square error. The developed method can be used in home care telemedicine systems, where it is necessary to long term monitor of multiple vital parameters of people under care.
Źródło:: Journal of Medical Informatics & Technologies; 2012, 21; 11-17
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Effect of fattening intensity on the fatty acid profile and mineral content of meat from Holstein-Friesian bulls
Autorzy:: Momot, M.
Nogalski, Z.
Sobczuk-Szul, M.
Pogorzelska-Przybyłek, P.
Powiązania:: https://bibliotekanauki.pl/articles/962857.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Warmińsko-Mazurski w Olsztynie / Polskie Towarzystwo Magnezologiczne im. Prof. Juliana Aleksandrowicza
Opis:: Diets high in saturated fatty acids (SFAs) and n-6 polyunsaturated fatty acids (PUFAs) at the expense of n-3 PUFAs have been shown to increase the risk of cardiovascular disease, obesity and cancer. Animal fat is considered to be the major source of unhealthy saturated fats. However, beef fat has a high nutritional value owing to the presence of minerals, PUFAs, vitamins and selected protein fractions. The aim of this study was to determine the effect of fattening intensity on the fatty acid profile and mineral content of meat from Holstein-Friesian bulls. Holstein-Friesian bulls aged 11 to 19 months were fattened under semi-intensive (SI, 10 animals) and intensive (I, 10 animals) systems. The bulls were fed maize silage, rapeseed meal and premix ad libitum. The diets for group I animals were supplemented with 2.5 kg ground triticale provided in an automatic feeding station. Meat samples were collected from m. longissimus dorsi (MLD). The samples were mineralized and assayed for mineral content. Fat was extracted from each sample, and the fatty acid profile of beef was determined by gas chromatography. Dietary supplementation with ground triticale increased the average daily gains of bulls and carcass dressing percentage, and contributed to higher carcass conformation and fat cover scores. Beef was found to be a rich source of valuable mineral compounds. The meat of group I animals was characterized by higher potassium levels and lower sodium levels, which points to its higher nutritional value. Semi-intensive (SI) fattening increased PUFA concentrations and decreased the n-6/n-3 PUFA ratio in beef.
Źródło:: Journal of Elementology; 2016, 21, 4
1644-2296
Pojawia się w:: Journal of Elementology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Granular representation of biomedical signals using numerical differentiation methods
Autorzy:: Momot, M.
Momot, A.
Gacek, A.
Powiązania:: https://bibliotekanauki.pl/articles/332925.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: grupowanie
liczby rozmyte
granulacja informacji
interpolacja
kryterium odbudowy
clustering
fuzzy number
information granulation
interpolation
reconstruction criterion
Opis:: This work presents the general idea of granular description of temporal signal, particularly biomedical signal sampled with constant frequency. The main idea of presented method is based on using triangular fuzzy numbers as information granules in temporal and amplitude spaces. The amplitude space contains values of first few derivatives of underlying signal. The construction of data granules is performed using the optimization method according to some objective function, which balances the high coverage ability and the low support of fuzzy numbers. The granules (descriptors) undergo the clustering process, namely fuzzy c-means. The centroids of created clusters form a granular vocabulary and the quality of description is quantitatively assessed by reconstruction criterion. There are presented results of experiments with the electrocardiographic signal, digitally sampled and stored in MIT-BIH database. The method of numerical differentiation of function based on finite set of its values is employed, which incorporates polynomial interpolation. The paper presents results of numerical experiments which show the impact of method parameters, such as temporal window length, degree of polynomial, fuzzification parameter, on the reconstruction ability of presented method.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 16; 43-49
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Health-promoting properties of meat from once-calved and maiden heifers
Autorzy:: Momot, M.
Nogalski, Z.
Sobczuk-Szul, M.
Pogorzelska-Przybyłek, P.
Modzelewska-Kapituła, M.
Powiązania:: https://bibliotekanauki.pl/articles/962661.pdf
Data publikacji:: 2017
Wydawca:: Uniwersytet Warmińsko-Mazurski w Olsztynie / Polskie Towarzystwo Magnezologiczne im. Prof. Juliana Aleksandrowicza
Opis:: Beef has a high nutritional value owing to the presence of minerals, vitamins, polyunsaturated fatty acids (PUFA) and selected protein fractions. The objective of this study was to investigate the influence of calving and nursing on the fatty acid profile and the content of minerals and vitamins in the meat of crossbred (Limousine x Polish Holstein-Friesian) once-calved heifers in comparison with the meat of maiden heifers. At 15 months of age, once-calved heifers were inseminated with the semen of Limousine bulls. After calving and lactation, they were slaughtered. Meat samples were collected from m. longissimus dorsi (MLD). The fatty acid composition was determined with the use of a gas chromatograph. The content of 5 minerals (potassium, sodium, magnesium, zinc, iron) was determined by atomic absorption spectrometry. The content of vitamins A and E was determined by high-performance liquid chromatography. Gestation and nursing had a negligent effect on the content of functional components in the meat of oncecalved heifers, in comparison with the meat of heifers. The meat of heifers contained more vaccenic acid (TVA) (C 18:1 T10+11), arachidonic acid (AA) (C 20:4) and docosahexaenoic acid (DHA) (C 22:6), whereas the meat of once-calved heifers was more abundant in oleic acid, zinc, iron and vitamin E (P ≤ 0.01). Commercially crossbred heifers can be included in once-bred heifer production systems, which create a possibility of producing additional offspring plus higher body weight of heifers with no adverse effect on the functional properties.
Źródło:: Journal of Elementology; 2017, 22, 4
1644-2296
Pojawia się w:: Journal of Elementology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 14.

Tytuł:: Relationship between corporate culture and effectiveness of an organization
Zależność pomiędzy kulturą korporacyjną a efektywnością organizacji
Autorzy:: Momot, V. E.
Litvinenko, O. M.
Powiązania:: https://bibliotekanauki.pl/articles/370789.pdf
Data publikacji:: 2012
Wydawca:: Wyższa Szkoła Zarządzania Ochroną Pracy w Katowicach
Tematy:: kultura korporacyjna
wskaźniki wyników przedsiębiorstwa
zaangażowanie personelu
corporate culture
performance indicators of enterprise
personnel involvement
Opis:: The study examines the effects of four major organizational culture traits, involvement, consistency, adaptability and mission on measures of company effectiveness, with the use of data collected from machine-building enterprises. The results indicate that the mission trait is the most prominent of the four traits in terms of fostering overall company performance, sales growth, market share growth and ROA.
Praca bada wpływ czterech głównych cech kultury organizacyjnej tj. zaangażowania, zgodności, adaptowalności i misji na efektywność, z wykorzystaniem danych zebranych w przedsiębiorstwach przemysłu maszynowego. Rezultaty wskazują, że to właśnie misja jest najistotniejsza w odniesieniu do ogólnych wyników firmy, wzrostu sprzedaży, wzrostu udziału w rynku oraz wskaźnika rentowności aktywów.
Źródło:: Zeszyty Naukowe Wyższej Szkoły Zarządzania Ochroną Pracy w Katowicach; 2012, 1(8); 5-20
1895-3794
2300-0376
Pojawia się w:: Zeszyty Naukowe Wyższej Szkoły Zarządzania Ochroną Pracy w Katowicach
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 15.

Tytuł:: Calcium and magnesium content in the milk of high-yielding cows
Autorzy:: Nogalska, A.
Momot, M.
Sobczuk-Szul, M.
Pogorzelska-Przybyłek, P.
Nogalski, Z.
Powiązania:: https://bibliotekanauki.pl/articles/958245.pdf
Data publikacji:: 2017
Wydawca:: Uniwersytet Warmińsko-Mazurski w Olsztynie / Polskie Towarzystwo Magnezologiczne im. Prof. Juliana Aleksandrowicza
Opis:: Cow’s milk has the highest share of total milk production and consumption in the world, including Poland. Milk is the most important source of readily available minerals, particularly calcium, in the human diet. The chemical composition of milk varies depending on genetic, environmental and physiological factors. Changes in the composition and physicochemical properties of milk affect its biological value and processing suitability. The objective of this study was to determine the effect of age of high-yielding Polish Holstein-Friesian (PHF) cows and lactation day on the calcium (Ca) and magnesium (Mg) content of milk. The average milk yield increased significantly during three consecutive lactations. The age of cows had a significant effect on the average Ca and Mg content of milk throughout lactation. Milk from younger cows had higher concentrations of the analyzed macronutrients. The concentrations of Ca and Mg in milk varied considerably depending on the stage of lactation. A substantial decrease in the milk Ca content was noted in the first stage of lactation. The calcium concentration in milk stabilized in the second month post partum, and it remained stable until the end of lactation. A decrease in the Mg content was noted until day 30 of lactation in milk from primiparous cows and cows in their second lactation. The oldest cows produced milk with the lowest Mg concentration, which resulted from a steady decrease in the milk Mg content until the fourth month of lactation. The Mg content of milk continued to increase from the fourth month until the end of lactation, regardless of a cow’s age. The Ca and Mg content of milk from the analyzed high-yielding cows was below the normal ranges (by approximately 24% and 6%, respectively). This is the reason why dairy products are often fortified with minerals.
Źródło:: Journal of Elementology; 2017, 22, 3
1644-2296
Pojawia się w:: Journal of Elementology
Dostawca treści:: Biblioteka Nauki

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