Neural Network Signal Integration from Thermogas-Dynamic Parameter Sensors for Helicopters Turboshaft Engines at Flight Operation Conditions.

The article's main provisions are the development and application of a neural network method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals. This allows you to effectively correct sensor data in real time, ensuring high accuracy and reliability of readings. A neural network has been developed that integrates closed loops for the helicopter turboshaft engine parameters, which are regulated based on the filtering method.

Corruption in healthcare: a view from the pandemic.

Corruption in healthcare has become transnational and intersectoral in nature; leading countries around the world have become vulnerable and insufficiently prepared to address health crises. The article deals with topical issues of corruption in healthcare during the Covid-19 pandemic in public and private sectors. By comparing different ratings, we concluded that there is a correlation between the level of corruption and the average annual income of the respective state, the observance of human rights and democratic standards in the context of their response to the Covid-19 pandemic.