Abstract An empirical mesh adaption algorithm is introduced for modeling one-dimensional reaction-diffusion systems with large moving gradients. Our new based on the revelation, that in high concentration gradients appear nearby to region where rate of reaction maximal, thus local can be used control adaption. We found, main advantage such a method its simplicity and easy implementation. As an ...

The rate of penetration (ROP) is one of the vital parameters which directly affects the drilling time and costs. There are various parameters that influence the drilling rate; they include weight on bit, rotational speed, mud weight, bit type, formation type, and bit hydraulic. Several approaches, including mathematical models and artificial intelligence have been proposed to predict the rate o...

We present a new hybrid paradigm for parallel adaptive mesh refinement (AMR) that combines the scalability and lightweight architecture of tree-based AMR with the computational efficiency of patch-based solvers for hyperbolic conservation laws. The key idea is to interpret each leaf of the AMR hierarchy as one uniform compute patch in Rd with md degrees of freedom, where m is customarily betwee...

Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the second one which is called danger theory focuses on both adaptive and innate reactions to build a more biologically-re...

Wucherria bancrofti (Wb) is the main causative agent of Filariasis. Lymphatic Filariasis (LF) is a disabling, disfiguring, and a poverty promoting disease which is caused by the parasitic filarial nematode worms. The identification of essential nematode genes has shown that independent phosphoglycerate mutase (iPGM) is an excellent drug target against parasitic nematodes. In this current study,...