Nowadays, machine learning projects have become more and more relevant to various real-world use cases.The success of complex Neural Network models depends upon many factors, as the requirement for structured and machine learning-centric project development management arises.Due to the multitude of tools available for different operational phases,
In a regional analysis the removal of the globally present semi-diurnal pressure signal could be necessary in order Bath Safety to isolate the pressure signal of regional features.As soon as global reanalysis data is used an essential prerequisite is to determine the characteristic signal of this data.The semi-diurnal surface pressure fluctuations
The major drawback of the differential chaos shift keying (DCSK) system is that equal time and energy are spent on the reference and data signal.This paper presents the design and performance analysis of a short reference multifold rate DCSK (SRMR-DCSK) system to overcome the major drawback.The SRMR-DCSK system is proposed to enhance the data rate
The COVID-19 pandemic has interrupted everyday life virtually everywhere in the world, enabling real-life research on threat-and-defense processes.In a survey conducted within the first days of implementing social distancing measures in Austria and Germany, we aimed to explore the pathways from threat perception to preferences of defense strategies
Abstract: Complement-mediated thrombotic microangiopathy (CM-TMA) is a clinical disorder driven by the generation of excess complement.It is characterized by thrombocytopenia and microangiopathic hemolytic anemia (MAHA) with microvascular thrombosis resulting in systemic organ damage (TMA).One form of CM-TMA, atypical hemolytic uremic syndrome (aHU