The update also includes a custom-made ATC scope map for our active air traffic controllers, as well as brand new aircraft models and liveries. To read the full list of updates and to learn more about the new minigames, join our Discord server using the link below:
What sets us apart is our established presence and active community as the leading flight simulator on FiveM. With a vast selection of planes, helicopters, and airports, we provide the ideal platform for your content creation needs. So, join us and embark on your content creation journey with access to the best resources available!
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Uptodown is a multi-platform app store specialized in Android. Our goal is to provide free and open access to a large catalog of apps without restrictions, while providing a legal distribution platform accessible from any browser, and also through its official native app.
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Background: The aim of the study was to determine if training in transesophageal echocardiography (TEE) using a TEE simulator improves the ability of novice operators to perform and interpret a focused critical care TEE.
Methods: In this prospective, randomized, controlled study with blinded outcome assessment, 44 intensive care unit trainees were randomly assigned to a control group receiving 4 hours of lecture-based training only, or an intervention group which was additionally trained for 4 hours using a TEE simulator. After the training intervention, each participant performed 2 TEEs in intensive care unit patients which were evaluated by blinded assessors. The imaging quality of TEEs was measured using a predefined examination quality score ranging from 0 to 100 points. The correct quantification of pathologies and the interpretation of the TEEs were evaluated by blinded assessors using focused and comprehensive expert TEEs as comparators.
Conclusions: Simulation-based TEE training improves the ability of novice operators to perform a focused critical care TEE in comparison to lecture-based education only. After 8 hours of simulator and lecture-based training, the majority of TEEs of novices are of sufficient quality for clinical use. Furthermore, a substantial skill level in correct quantification and interpretation of imaging is achieved.
Simulation models in respiratory research are increasingly used for medical product development and testing, especially because in-vivo models are coupled with a high degree of complexity and ethical concerns. This work introduces a respiratory simulation system, which is bridging the gap between the complex, real anatomical environment and the safe, cost-effective simulation methods. The presented electro-mechanical lung simulator, xPULM, combines in-silico, ex-vivo and mechanical respiratory approaches by realistically replicating an actively breathing human lung. The reproducibility of sinusoidal breathing simulations with xPULM was verified for selected breathing frequencies (10-18 bpm) and tidal volumes (400-600 ml) physiologically occurring during human breathing at rest. Human lung anatomy was modelled using latex bags and primed porcine lungs. High reproducibility of flow and pressure characteristics was shown by evaluating breathing cycles (nTotal = 3273) with highest standard deviation |3| for both, simplified lung equivalents ([Formula: see text] = 23.98 1.04 l/min, P = -0.78 0.63 hPa) and primed porcine lungs ([Formula: see text] = 18.87 2.49 l/min, P = -21.13 1.47 hPa). The adaptability of the breathing simulation parameters, coupled with the use of porcine lungs salvaged from a slaughterhouse process, represents an advancement towards anatomically and physiologically realistic modelling of human respiration.
Recurrent neural networks (RNNs) are a form of machine learning used to predict future values. This project uses RNNs tor predict future values for a flight simulator. Coded in Python using the Keras library, the model demonstrates training loss and validation loss, referring to the error when training the model.
Reservoir simulation presents one of the most intimidating challenges a petroleum engineering student encounters, owing primarily to the mathematical complexities involved. The thrust of this article is to capture the basic elements of the simulation process.
In the effort of stay within a logical length, the omission of some details and minor intermediate steps was unavoidable.
The best way to determine how reliable and accurate a reservoir simulator is, is by performing a simulation with a known solution and comparing the obtained results with that pre-established solution. Once all coding errors and bugs are eliminated, the mesh can be optimized so that acceptable results are produced within a logical simulation speed.
Thanks to Matthew Balhoff, professor, Hildebrand Department of Petroleum and Geosystems Engineering and director, Center for Subsurface Energy and the Environment at University of Texas-Austin for his review of the article.
I'm very grateful that one of my friends, who is a keen aviator, shared more information about this network with me, so I was able to join it. I'm also very excited to make my first post on this forum.
As I have just discovered the virtual aviation niche, I would like to learn more before I can be part of it as a pilot, so I would like to ask your advice on what website or software I could use to connect to the audio of any airport that is part of the VATSIM network without using a flight simulator.
If you want to observe traffic and listen to the communication between controllers and pilots, you can use one of the existing radar programs to connect to VATSIM as OBS (observer). In Europe, most people use a software called "Euroscope". On top of this radar program you will also need the standalone AFV-client (Audio For VATSIM). Once you have successfully connected your radar client to the network, you can also connect AFV. When logging in as OBS, use the initials of your first and last name followed by "_OBS", e.g. I'd use "AF_OBS". 152ee80cbc
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