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Wyszukujesz frazę "Markiewicz, Aleksandra" wg kryterium: Autor


Wyświetlanie 1-5 z 5
Tytuł:
Assessment of health condition as related to lifestyle among students in the examination period
Autorzy:
Jaremków, Aleksandra
Markiewicz-Górka, Iwona
Pawlas, Krystyna
Powiązania:
https://bibliotekanauki.pl/articles/2116625.pdf
Data publikacji:
2020-04-30
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
Body Composition
feeding behavior
Health
lifestyle
metabolism
students
Opis:
ObjectivesThe aim of this paper was to investigate the impact of changes in the students’ lifestyle during an examination period on their health condition, as evidenced by changes to the body composition and metabolic rates.Material and MethodsThe study involved 268 Wroclaw Medical University students (second- and third-year students). The study was performed 3 times (at the beginning of a semester, in the middle of a semester, and in the examination period) and included a completion of a questionnaire on the current lifestyle, as well as measurements of the body composition, the basal metabolic rate, and the waist and hip circumferences. The measurements were carried out with the use of a body composition analyzer (Tanita MC-780 MA) and a tape measure with a waist–hip ratio calculator.ResultsIn the examination period, as compared with the rest of the semester, a significant decrease was observed in the metabolic rates, and the body water and muscle mass of the examined students. During that period, there were also more frequent adverse changes in the students’ lifestyle. In the studied periods, a correlation was found between changes in the frequency of snacking, consuming sweets and cola drinks, and the alterations of the subjects’ body fat mass, i.e., r = 0.161, r = 0.135, and r = 0.143, respectively. In turn, differences in the frequency of drinking wine, physical activity, sleep length, and time devoted to learning correlated with changes in the participants’ body water, i.e., r = 0.140, r = 0.152, and r = 0.133 (r = −0.142, r = −0.147), respectively, and muscle mass, i.e., r = 0.141, r = 0.142, and r = 0.126 (r = −0.130, r = −0.142), respectively, and metabolism, i.e., r = 0.127, r = 0.145 and r = 0.135 (r = −0.127, r = −0.135), respectively.ConclusionsThe analysis of the body composition and metabolic rates of the students during an examination period indicates that the changes occurring in various elements of their lifestyle (e.g., dietary habits, physical activity) can result in deteriorating their health condition.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2020, 33, 3; 339-351
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
France in Sweden’s Foreign Policy in the Era of Gustav III’s Reign (1771–1792)
Autorzy:
Anusik, Zbigniew
Markiewicz, Mariusz
Bartosiewicz, Aleksandra
Leśniak, Małgorzata
Powiązania:
https://bibliotekanauki.pl/books/26850652.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Opis:
This book is about the Stockholm court’s policy on France during the reign of Gustav III. It is a work on the history of diplomacy based on an extensive source material. The author concentrates especially on the crisis of the French monarchy in the years 1787-1792. He also pays a lot of attention to Gustav III’s unsuccessful attempts to build an anti-French and anti-revolutionary coalition of European monarchs. The chronological range of work covers Gustav III’s reign, thus the death of that ruler on March 29, 1792 marks the end of the book.
Dostawca treści:
Biblioteka Nauki
Książka
Tytuł:
Patients with chronic venous insufficiency in the times of COVID-19 and the risk of thrombus formation – suggestions on conservative treatment of such patients based on the principles of pathophysiology
Autorzy:
Krasinski, Zbigniew
Krasińska, Aleksandra
Markiewicz, Szymon
Zieliński, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/1391331.pdf
Data publikacji:
2021
Wydawca:
Index Copernicus International
Tematy:
COVID-19
CVI
pharmacotherapy
varicose veins
Opis:
The current limitations of surgical treatment, as well as restrictions on professional and sport activities related to COVID-19 pandemic require seeking therapeutic solutions for the vast population of patients with chronic venous insufficiency (CVI, chronic venous insufficiency). To understand the principles of pharmacotherapy of this disease, the authors used data related to epidemiology and pathophysiology of CVI. They provided the latest data on venoactive drugs and recommendations that should be followed and summarized the literature based on the EBM. The article should provide the answer to the question of how to deal with patients with varicose veins or, more broadly, chronic venous insufficiency during the pandemic.
Źródło:
Polish Journal of Surgery; 2021, 93, 2; 42-51
0032-373X
2299-2847
Pojawia się w:
Polish Journal of Surgery
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-feature ensemble system in the renal tumour classification task
Autorzy:
Osowska-Kurczab, Aleksandra Maria
Markiewicz, Tomasz
Dziekiewicz, Miroslaw
Lorent, Malgorzata
Powiązania:
https://bibliotekanauki.pl/articles/2128157.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
medical imaging
renal cell carcinoma
convolutional neural networks
textural features
support vector machine
computer vision
deep learning
technika deep learning
obrazowanie medyczne
rak nerkowokomórkowy
konwolucyjne sieci neuronowe
cechy tekstury
maszyna wektorów nośnych
wizja komputerowa
głęboka nauka
Opis:
Recently, the analysis of medical imaging is gaining substantial research interest, due to advancements in the computer vision field. Automation of medical image analysis can significantly improve the diagnosis process and lead to better prioritization of patients waiting for medical consultation. This research is dedicated to building a multi-feature ensemble model which associates two independent methods of image description: textural features and deep learning. Different algorithms of classification were applied to single-phase computed tomography images containing 8 subtypes of renal neoplastic lesions. The final ensemble includes a textural description combined with a support vector machine and various configurations of Convolutional Neural Networks. Results of experimental tests have proved that such a model can achieve 93.6% of weighted F1-score (tested in 10-fold cross validation mode). Improvement of performance of the best individual predictor totalled 3.5 percentage points.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e136749, 1--8
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-feature ensemble system in the renal tumour classification task
Autorzy:
Osowska-Kurczab, Aleksandra Maria
Markiewicz, Tomasz
Dziekiewicz, Miroslaw
Lorent, Malgorzata
Powiązania:
https://bibliotekanauki.pl/articles/2173572.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
medical imaging
renal cell carcinoma
convolutional neural networks
textural features
support vector machine
computer vision
deep learning
technika deep learning
obrazowanie medyczne
rak nerkowokomórkowy
konwolucyjne sieci neuronowe
cechy tekstury
maszyna wektorów nośnych
wizja komputerowa
głęboka nauka
Opis:
Recently, the analysis of medical imaging is gaining substantial research interest, due to advancements in the computer vision field. Automation of medical image analysis can significantly improve the diagnosis process and lead to better prioritization of patients waiting for medical consultation. This research is dedicated to building a multi-feature ensemble model which associates two independent methods of image description: textural features and deep learning. Different algorithms of classification were applied to single-phase computed tomography images containing 8 subtypes of renal neoplastic lesions. The final ensemble includes a textural description combined with a support vector machine and various configurations of Convolutional Neural Networks. Results of experimental tests have proved that such a model can achieve 93.6% of weighted F1-score (tested in 10-fold cross validation mode). Improvement of performance of the best individual predictor totalled 3.5 percentage points.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e136749
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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