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The current thesis constitutes an interdisciplinary approach of detecting a selection pressure driven by the environment examining the contribution of Remote Sensing and Spatial Analysis in the field of Landscape Genetics. Even though several studies have ...
As part of our effort to uncover the molecular basis for the phenotypic variation among clinical Mycobacterium tuberculosis isolates, we have previously reported that isolates belonging to the W/Beijing lineage constitutively overexpress the DosR-regulated ...
The nature and time evolution of the primary excitations in the pristine conjugated polymer, PCDTBT, are investigated by femtosecond-resolved fluorescence up-conversion spectroscopy. The extensive study includes data from PCDTBT thin film and from PCDTBT i ...
We introduce, analyze, and experimentally verify the concept of co-solvability, meant as the ability of a solution maintained by an evolutionary run to solve (correctly process) a pair of fitness cases (tests). The method based on this concept can be consi ...
We analyse the structural changes that have characterised the organisation of industrial R&D over the last 25 years. Taking Mowery's work (Industrial and Corporate Change, 2009, 18(1), 1-50) on the US as a starting point, we reconsider the different aspect ...
Background: In this study we compare outlier loci detected using a FST based method with those identified by a recently described method based on spatial analysis (SAM). We tested a panel of single nucleotide polymorphisms (SNSPs) previously genotyped in i ...
Understanding the initial steps during ultrafast molecular reactions involving large spin state changes is a vital goal in structural dynamics research. These involve knowledge of the geometric structure of the system. Ultrafast X-ray absorption spectrosco ...
In this paper, we suggest a new approach for reverse engineering gene regulatory networks, which consists of using a reconstruction process that is similar to the evolutionary process that created these networks. The aim is to integrate prior knowledge int ...
Evolutionary robotics is a promising approach to overcoming the limitations and biases of human designers in producing control strategies for autonomous robots. However, most work in evolutionary robotics remains solely concerned with optimizing control st ...
After introducing the challenges and failures of first generation e-government (identified as e-Gov 1.0), and the rhetoric of the next generation of e-government efforts (identified as e-Gov 2.0), this paper presents an analysis of the promises of m-govern ...