introduction: manipulation of protein stability is important for understanding the principles that govern protein thermostability, both in basic research and industrial applications. various data mining techniques exist for prediction of thermostable proteins. furthermore, ann methods have attracted significant attention for prediction of thermostability, because they constitute an appropriate ...

cooperation is the foundation of many protocols in wireless networks. without cooperation, the performance of a network significantly decreases. hence, all nodes in traditional networks are required to cooperate with each other. in this paper, instead of traditional networks, a network of rational and autonomous nodes is considered, which means that each node itself can decide whether to cooper...

the stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. this paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (mdnn) and studies the stability of this algorithm. also, stable learning algorithm for parameters of ...

in this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. utilizing the generalized characterization theorem. then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. here neural network is considered as a part of large eld called n...

dna sequence, containing all genetic traits is not a functional entity. instead, it transfers to protein sequences by transcription and translation processes. this protein sequence takes on a 3d structure later, which is a functional unit and can manage biological interactions using the information encoded in dna. every life process one can figure is undertaken by proteins with specific functio...

background and purpose: undoubtedly, social networks are being used extensively and are the most important communicative tool among students, especially at higher levels of education. we aimed to investigate the effect of social networks on education and academic learning. methods: this quasi-experimental study was conducted on 32 nursing students who were taking the cancer nursing course at ke...