This review article provides an overview of cone beam (CB) imaging technology and its role in orofacial imaging, including comparison with two-dimensional (2D) radiography and multislice computed tomography (MCT). The radiation dose levels of CB systems are discussed, with reference to those delivered by MCT and common dental 2D views. The large variation in dose levels delivered by CB systems ...

Abstract There are many different varieties of clouds, each with a unique set properties. As result this variability, it is difficult to discern these sorts clouds. A database’s objects must be categorized using data categorization in order organized into multiple categories. This study made use the Cirrus Cumulus Stratus Nimbus (CCSN) dataset, which falls under low cloud category and includes ...

The study investigates the role of NWP filtering for the remote sensing of Cumulonimbus 1 Clouds (Cbs) by implementation of 14 different experiments, covering Central Europe. These 2 experiments compiles different stability filter settings as well as the use of different channels for 3 the InfraRed (IR) brightness temperatures. As stability filter parameters from Numerical Weather 4 Prediction ...

Many of the pharmacological effects of Delta(9)-tetrahydrocannabinol are mediated through CB(1) and CB(2) cannabinoid receptors. However, with the discovery of endogenous cannabinoids, some discrepancies have arisen. Furthermore, unlike the CB(1) receptor, the sequences of the mouse and human CB(2) receptor are divergent, raising the possibility of species specificity. The gene for the rat CB(2...

The University of Alabama-Huntsville (UAH) and National Space Science and Technology Center (NSSTC) C-band Doppler weather radar was recently upgraded to dual-polarimetric capabilities. The upgraded radar is called ARMOR (Advanced Radar for Meteorological and Operational Research) and operates within the UAH/NSSTC STORMnet (Severe Thunderstorm Observations and Research Meteorological network). ...

Information entropy features are often used for radiation source signal recognition, but due to the information entropy is very sensitive to noise, so this method has greater recognition rate changes with the SNR. This paper putting forward a viable recognition based on Entropy and cloud model. using cloud model to extract secondary features of signals, build radiation source signal’s entropy a...