Analysis Crystal Structure of Sars-cov-2 Nsp3 Macrodomain Based on Optimal Multi Level of Deep Neurocomputing Technique (preprint)

In an attempt to improve the analysis crystal structure of sars-cov-2 nsp3 macrodomain, a new deep learning neural network architecture called (DLSTM) is established in this work which combines a novel meta-heuristic optimization algorithm called (Lion-AYAD ) and deterministic structure network (DSN) with Determined set of rules (Knowledge Constructions (KC)) for each protein’s generation from synthesis tRNA based on the location of each component (i.e., U, C, G and A) in the triples of tRNA and other KC related to SMILE Structures. LSTM is one of the deep learning algorithms (DLA) from type neurocomputing contain specific feature not found on other DLA is memory also it proves their ability to give results with high accuracy in prediction problem but on other side LSTM required to determined many parameters based on try and error concept and have high complexity of computation therefore This work attempting to solve this gap through suggest new tool to determine the structure of network and parameters through one optimization algorithm called Lion-AYAD. that searching of the optimal (objective function, #Hidden Layers, #nodes in each Layers and wights for four gate unit in each layers) called DSN. With trained bidirectional DLSTM on the DNA sequence to generated protein get very pragmatic results from determined which protein active and inactive in injury sars-cov-2. on other side trained bidirectional DLSTM on SMILES to analysis crystal structure of sars-cov-2 nsp3 macrodomain get very high reconstruction rates of the test set molecules were achieved 95%. In general Lion-AYAD is one of optimization algorithm determined the set of rules to avoiding incorrect interactions of materials, finally add the KC that include apply four rules through synthesis each triplet tRNA to generated proteins and five Rules through synthesis each SMILE Structure.

An Innovative Electronic Sterilization System (S-Vehicle, NaOCI.5H2O and CeO2NP) for Epidemic Areas by Virus Covid-19 Manage Remotely using Mobil Application (preprint)

The aim of this work is to provide an integrated electronic developed system that is managed remotely by smartphones and is able to sterilize large areas affected by a specific virus. It can be transmitted between people by approaching or touching infected people, such as the Covid virus 19. The work includes treating two of the main challenges in this field: The first challenge is to find modern sterilization materials, and here we will resort to using oily materials for sterilization that are highly effective and light in weight that are easy to break into spray particles flying in places to be sterilized. As for the second challenge, sterilization operations using traditional methods often lead to the exposure of the personnel responsible for sterilization to infection with the virus, so the second goal is to develop marching vehicles controlled by mobile devices called (S-Vehicles) that can be operated during periods Specific, highly efficient and low cost, in addition to that it reduces the effort and time that can be spent by the rescue teams and reduces the cases of injuries as much as possible, especially since the work is completely managed automatically from the affected areas. The designed S-Vehicles consists of several basic stages: The stage of building an integrated electronic circuit and controlling it remotely connected to it by a tank to carry the oily materials attached to the Microniar, which is responsible for breaking down the sterile oily substance into small, volatile spray atoms. In addition, the GPS will be linked with S-Vehicles in order to determine the exact location and coordinates of the area in which (S-Vehicles) begin to open the tank valve and begin the sterilization process. The most important points of the designed system: It reduces the time wasted in the process of sterilizing large areas, whether or not they are infected. The need for human effort diminishes, as it used to be that a group of people are deployed from disaster areas to sterilize these places, which increases the risk of infection for these people. The designed S-Vehicles are easy to move in any direction, as well as they can be used to sterilize hospitals, streets, and roads and have the advantage of being of low cost compared to other means. The compound material for the purpose of sterilization is characterized as an oily substance with light weights, which makes it easy to break it by micronise into very small spray atoms that are spread by S-Vehicles designed in different directions in the target area to be sterilized. The system can be managed completely automatically and controlled remotely. This integrated system is considered part of the electronic sterilization system intended to be applied in Iraq. The disinfection process aims to prevent new infections, eliminate viruses on surfaces and tools, and reduce their contamination with viruses. The design is strong and shock-resistant, and it can be used for other purposes, such as controlling crops by changing the type of solution used by placing a pesticide in the tank instead of the oil sterilization solution, but in both cases the solution must be characterized by light weight and durability of micronized in splitting the solution into fine volatile spray.