We investigated the spatial genetic structure of the tiger meta-population in the Satpura-Maikal landscape of central India using population- and individual-based genetic clustering methods on multilocus genotypic data from 273 individuals. The Satpura-Maikal landscape is classified as a global-priority Tiger Conservation Landscape (TCL) due to its potential for providing sufficient habitat tha...

Density dependence, population regulation, and variability in population size are fundamental population processes, the manifestation and interrelationships of which are affected by environmental variability. However, there are surprisingly few empirical studies that distinguish the effect of environmental variability from the effects of population processes. We took advantage of a unique syste...

The web has changed the way we do things in a variety of ways. It is not uncommon to associate the term disruptive technologies to the radical changes happening on the web. This paper takes an encompassing view of developments surrounding the web with a particular emphasis on emerging trends and evolving application scenarios. We provide a broad overview of technologies, in revealing directions...

Although GQM+Strategies® 1 assures that business goals and strategies are aligned throughout an organization and at each organizational unit based on the rationales to achieve the overall business goals, whether the GQM+Strategies grid is created correctly cannot be determined because the current definition of GQM+Strategies allows multiple perspectives when aligning goals with strategies. Here...

Most of today’s products and services are software-based. Organizations that develop software want to maintain and improve their competitiveness by controlling software-related risks. To do this, they need to align their business goals with software development strategies and translate them into quantitative project management. There is also an increasing need to justify cost and resources for ...

This paper proposes a method to fuse learning strategies (LSs) in reinforcement learning framework. Generally, we need to choose a suitable LS for each task respectively. In contrast, the proposed method automates this selection by fusing LSs. The LSs fused in this paper includes a transfer learning, a hierarchical RL, and a model based RL. The proposed method has a wide applicability. When the...