7 research outputs found

    ŚWIĄTYNIA MUZ

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    Na początku spotkania poświęconego muzeum – widzianemu jako świątynia muz – w sposób nieodparty pojawiła się refleksja o ludziach, którzy stanęli u początków Muzeum Narodowego w Krakowie – pierwszych dyrektorach, kustoszach.Po zastanowieniu – myśl o nich okazuje się w tym miejscu i chwili całkiem naturalna, jeśli uzmysłowimy sobie, że muzy (bohaterki tego spotkania) były córkami Zeusa i Mnemozyny, bogini pamięci.A więc przywołanie postaci z przeszłości, związanych z krakowską Świątynią Muz, odczytać można jako rzecz wręcz oczywistą, wynikającą z natury „gospodyń” tego przybytku. Przypomnę tylko jedną – dyrektora Feliksa Kopery, który 55 lat temu przyjmował mnie do pracy w Muzeum. Jakie jeszcze cechy przypisać można muzom? Jaka jest ich natura

    ŚWIĄTYNIA MUZ

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    Na początku spotkania poświęconego muzeum – widzianemu jako świątynia muz – w sposób nieodparty pojawiła się refleksja o ludziach, którzy stanęli u początków Muzeum Narodowego w Krakowie – pierwszych dyrektorach, kustoszach.Po zastanowieniu – myśl o nich okazuje się w tym miejscu i chwili całkiem naturalna, jeśli uzmysłowimy sobie, że muzy (bohaterki tego spotkania) były córkami Zeusa i Mnemozyny, bogini pamięci.A więc przywołanie postaci z przeszłości, związanych z krakowską Świątynią Muz, odczytać można jako rzecz wręcz oczywistą, wynikającą z natury „gospodyń” tego przybytku. Przypomnę tylko jedną – dyrektora Feliksa Kopery, który 55 lat temu przyjmował mnie do pracy w Muzeum. Jakie jeszcze cechy przypisać można muzom? Jaka jest ich natura

    Poczet cesarzowych Rzymu

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    В книгу Александра Кравчука вошли следующие работы: "Галерея римских императоров: Принципат", "Галерея римских императоров. Доминат", "Галерея римских императриц" и "Галерея византийских императоров", а также абсолютно новые части "Кризис" и "Распад", которые раскрывают полную картину верховной власти в Римской и Византийской империях

    Wavelet Transform Analysis of Heart Rate to Assess Recovery Time for Long Distance Runners

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    The diagnostics of the condition of athletes has become a field of special scientific interest and activity. The aim of this study was to verify the effect of a long (100 km) run on a group of runners, as well as to assess the recovery time that is required for them to return to the pre-run state. The heart rate (HR) data presented were collected the day before the extreme physical effort, on the same day as, but after, the physical effort, as well as 24 and 48 h after. The Wavelet Transform (WT) and the Wavelet-based Fractal Analysis (WBFA) were implemented in the analysis. A tool was constructed that, based on quantitative data, enables one to confirm the completion of the recovery process that is related to the extreme physical effort. Indirectly, a tool was constructed that enables one to confirm the completion of the recovery process. The obtained information proves that the return to the resting state of the body after a significant physical effort can be observed after two days entirely through the analysis of the HR. Certain practical measures were used to differentiate between two substantially different states of the human body, i.e., pre- and post-effort states were constructed. The obtained results allow for us to state that WBFA appears to be a useful and robust tool in the determination of hidden features of stochastic signals, such as HR time signals. The proposed method allows one to differentiate between particular days of measurements with a mean probability of 92.2%

    Heart rate of long distance runners collected one day before and during three days after a 100 km run

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    <p>The data presents changes in the circulatory system of long distance runners before and just after extreme physical effort. In order to achieve that a group of voluntaries from the Sport Centre of the University of Physical Education and Sport in Gdansk had joined the research programme. They were obligated to take part in regular measurements of their heart rate just after the effort, as well as 24 and 48 hours after.</p><p>The long distance run covered 100 km on a 3375 m loop with the total altitude difference not greater than 2 m. The run started at 07:20+01 in the morning and lasted for approximately 10 hours. The weather conditions during the run as follows: air temperature 4--5 degrees C, relative air humidity 86% with no wind. The heart rate of all voluntaries measured before the run was around 64--72/min, while just after the run was around 141--158/min.</p><p>The heart rate of the runners was measured continuously from 12 minutes and thanks to that 450 sample long time series were collected. All heart rate signals were recorded based on the time intervals between successive R-waves of electrocardiographic signals.</p><p><br></p><p>The data is ordered according to the participants, i.e. each file 1.csv to 13.csv represents a single participant and his measurements gathered during the study. The column "day" indicates the day of the examination. The 1st day of examination took place on 2012-11-16 (one day preceding the extreme physical effort), the 2nd on 2012-11-17 (right after the effort), the 3rd on 2012-11-18 (one day following the effort), and the 4th on 2012-11-19 (two days following the effort). The column "timestamp" indicates the precise time of the examination (hh:mm:ss.sss), whereas the column "HR" contains the heart rate measurements in 1/min.</p
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