NanoLuc® Luciferase brings exciting new possibilities and improvements to luminescence applications, including protein stability monitoring, detection of protein interactions using BRET, and in vivo imaging. This article highlights several recent papers that illustrate the use of NanoLuc® Technology as a sensitive reporter for challenging applications beyond those of classic bioluminescence rep...

This paper presents an efficient meta-heuristic algorithm for optimization of double-layer scallop domes subjected to earthquake loading. The optimization is performed by a combination of harmony search (HS) and firefly algorithm (FA). This new algorithm is called harmony search firefly algorithm (HSFA). The optimization task is achieved by taking into account geometrical and material nonlinear...

Sexual signals are conspicuous and are typically assumed to be energetically costly, which keeps them honest. A recent study on fireflies has found that signal production is energetically cheap, but signalling remains expensive because of eavesdropping predators.

Fitting spline curves to data points is a very important issue in many applied fields. It is also challenging, because these curves typically depend on many continuous variables in a highly interrelated nonlinear way. In general, it is not possible to compute these parameters analytically, so the problem is formulated as a continuous nonlinear optimization problem, for which traditional optimiz...

The Ototretinae genus Lamellipalpodes Maulik, 1921 is reviewed. Four species are proposed as new to science, L. bajhangensis Bocakova sp. nov., L. holzschuhi Bocakova sp. nov. and L. godawarensis Bocakova sp. nov., all from Nepal, and L. yunnanensis Bocakova sp. nov. from China (Yunnan) and northern Laos. Six species are redescribed. Illustrations of diagnostic characters are included, with a c...

In wireless adhoc networks usage are increased in now a days to broadcast their information from one node to another nodes in the networks, it can be categorized into two types static and dynamic. In static approach, information of each and every node is updated automatically forward nodes information from one after another to identify best broadcasting schema results based on local topology an...

Microarray data usually contain a large number of genes, but a small number of samples. Feature subset selection for microarray data aims at reducing the number of genes so that useful information can be extracted from the samples. Reducing the dimension of data sets further helps in improving the computational efficiency of the learning model. In this paper, we propose a modified algorithm bas...

Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various meta-heuristic methods can be used for finding the solution in a large search space. These methods can be explained as iterative search processes that efficiently perform the exploration and exploitation in the solution space. In this context, thre...