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Wyświetlanie 1-4 z 4
Tytuł:
Analyzing the MERS disease control strategy through an optimal control problem
Autorzy:
Aldila, D.
Padma, H.
Khotimah, K.
Desjwiandra, B.
Tasman, H.
Powiązania:
https://bibliotekanauki.pl/articles/329852.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
Middle East Respiratory Syndrome
medical mask
supportive care
campaign
basic reproduction number
optimal control
maska medyczna
leczenie podtrzymujące
podstawowy współczynnik reprodukcji
sterowanie optymalne
Opis:
A deterministic mathematical model of the Middle East respiratory syndrome (MERS) disease is introduced. Medical masks, supportive care treatment and a government campaign about the importance of medical masks will be involved in the model as time dependent variables. The problem is formulated as an optimal control one to minimize the number of infected people and keep the intervention costs as low as possible. Assuming that all control variables are constant, we find a disease free equilibrium point and an endemic equilibrium point explicitly. The existence and local stability criteria of these equilibria depend on the basic reproduction number. A sensitivity analysis of the basic reproduction number with respect to control parameters tells us that the intervention on medical mask use and the campaign about the importance of medical masks are much more effective for reducing the basic reproduction number than supportive care intervention. Numerical experiments for optimal control problems are presented for three different scenarios, i.e., a scenario of different initial conditions for the human population, a scenario of different initial basic reproduction numbers and a scenario of different budget limitations. Under budget limitations, it is much better to implement the medical mask intervention in the field, rather than give supportive care to control the spread of the MERS disease in the endemic prevention scenario. On the other hand, the medical mask intervention should be implemented partially together with supportive care to obtain the lowest number of infected people, with the lowest cost in the endemic reduction scenario.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 1; 169-184
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Neural Network Model for Object Mask Detection in Medical Images
Autorzy:
Tereikovskyi, Igor
Korchenko, Oleksander
Bushuyev, Sergey
Tereikovskyi, Oleh
Ziubina, Ruslan
Veselska, Olga
Powiązania:
https://bibliotekanauki.pl/articles/2200721.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model
neural network
object mask
medical images
Opis:
In modern conditions in the field of medicine, raster image analysis systems are becoming more widespread, which allow automating the process of establishing a diagnosis based on the results of instrumental monitoring of a patient. One of the most important stages of such an analysis is the detection of the mask of the object to be recognized on the image. It is shown that under the conditions of a multivariate and multifactorial task of analyzing medical images, the most promising are neural network tools for extracting masks. It has also been determined that the known detection tools are highly specialized and not sufficiently adapted to the variability of the conditions of use, which necessitates the construction of an effective neural network model adapted to the definition of a mask on medical images. An approach is proposed to determine the most effective type of neural network model, which provides for expert evaluation of the effectiveness of acceptable types of models and conducting computer experiments to make a final decision. It is shown that to evaluate the effectiveness of a neural network model, it is possible to use the Intersection over Union and Dice Loss metrics. The proposed solutions were verified by isolating the brachial plexus of nerve fibers on grayscale images presented in the public Ultrasound Nerve Segmentation database. The expediency of using neural network models U-Net, YOLOv4 and PSPNet was determined by expert evaluation, and with the help of computer experiments, it was proved that U-Net is the most effective in terms of Intersection over Union and Dice Loss, which provides a detection accuracy of about 0.89. Also, the analysis of the results of the experiments showed the need to improve the mathematical apparatus, which is used to calculate the mask detection indicators.
Źródło:
International Journal of Electronics and Telecommunications; 2023, 69, 1; 41--46
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The effect of wearing an FFP3 mask (3M$\text()^{TM}$ Aura$\text()^{TM}$) with an exhalation valve on gas exchange in medical staff
Autorzy:
Fantin, Raffaella
Powiązania:
https://bibliotekanauki.pl/articles/2093861.pdf
Data publikacji:
2021-12-13
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
personal protective equipment
health personnel
gas exchange
respiratory protective devices
COVID-19
masks
Opis:
ObjectivesThe physiological impact of wearing personal protective equipment (PPE), in particular filtering-face-piece 3 (FFP3) masks, has increasingly been gaining importance since the outbreak of coronavirus disease 2019 (COVID-19). So far, gas exchange has been examined using transcutaneously measured partial pressure of carbon dioxide (PaCO2), ergo-spirometry and impedance cardiography.Material and MethodsIn this structured investigation, arterial blood gas analysis in a 30-year-old female resident was carried out during a 13-hour day shift on the COVID-19 Intensive Care Unit of the University Hospital of Innsbruck, Austria. An FFP3 mask (3MTM AuraTM) with an exhalation valve was continuously worn, except for 1 break of 20 min. Arterial blood samples were obtained before putting on the PPE, and after 5 h, 9 h and 13 h of working in the contaminated area.ResultsDuring the multi-hour wearing time, an increase in PaCO2 (the baseline value: 29.3 mm Hg, the max. value: 38.9 mm Hg) and a continuous decrease in partial pressure of oxygen (PaO2, the baseline value: 102 mm Hg, the min. value: 80.8 mm Hg) was detectable.ConclusionsAll measured values were within the normal range, but a trend towards an insufficient gas exchange could be suspected.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2021, 34, 6; 817-819
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Advances and Perspectives in Using Medical Informatics for Steering Surgical Robots in Welding and Training of Welders Applying Long-Distance Communication Links
Postępy i perspektywy wykorzystania informatyki medycznej do sterowania robotami chirurgicznymi w spawaniu i szkoleniu spawaczy korzystających z połączeń komunikacji na duże odległości
Autorzy:
Prusak, Zbigniew
Tadeusiewicz, Ryszard
Jastrzębski, Ryszard
Jastrzębska, Ilona
Powiązania:
https://bibliotekanauki.pl/articles/115145.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
spawanie zdalne
sztuczna inteligencja
rzeczywistość rozszerzona
maska spawalnicza
jeziorko spawalnicze
UHTC
plazma łukowa
remote welding
artificial intelligence
augmented reality
welding mask
weld pool
arc plasma
Opis:
This paper discusses various challenges in remote welding with a surgical robot equipped with a digital camera used to observe the welding zone, in particular the difficulty in detecting the boundaries of the weld pool. The difference in the processing of the real image by the human brain is discussed in comparison with the image in the form of a film from a digital camera. In addition to the need of performing the second derivative of the image in real-time, three models of human recognition of an image were discussed, one of which was already studied by researchers from Cambridge, UK. The concept of melting the base material by bending the weld pool with the pressure of non-ionized arc gases and the American implementation of the measurement of the third dimension of the weld pool and determining the weld penetration by electronics of the welding machine are discussed. Desired movement trajectories of the electrode tip based on the physics of the welding arc and welding technology are presented along with difficulties in teaching the movements to welding trainees. Basics of the neural model of the brain with the vector model of artificial intelligence are also presented.
W artykule omówiono różne wyzwania związane ze spawaniem zdalnym za pomocą robota chirurgicznego wyposażonego w kamerę cyfrową do obserwacji strefy spawania, w szczególności dyskutowano trudność w wykrywaniu granic jeziorka spawalniczego. Omówiono różnicę w przetwarzaniu obrazu rzeczywistego przez ludzki mózg w porównaniu z obrazem w postaci filmu z aparatu cyfrowego. Oprócz potrzeby wykonania drugiej pochodnej obrazu w czasie rzeczywistym, omówiono trzy modele rozpoznawania obrazu przez człowieka, z których jeden był już badany przez naukowców z Cambridge w Wielkiej Brytanii. Omówiono koncepcję topienia materiału podstawowego przez zaginanie jeziorka spawalniczego ciśnieniem niejonizowanych gazów łukowych oraz amerykańską implementację pomiaru trzeciego wymiaru jeziorka spawalniczego i określania wtopienia stymulowanego przez elektronikę spawarki. Przedstawiono pożądane trajektorie ruchu końcówki elektrody w oparciu o fizykę łuku spawalniczego i technologię spawania oraz trudności w uczeniu ruchów praktykantów. Przedstawiono również podstawy neuronowego modelu mózgu wraz z modelem wektorowym sztucznej inteligencji.
Źródło:
Welding Technology Review; 2020, 92, 5; 37-49
0033-2364
2449-7959
Pojawia się w:
Welding Technology Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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