The retrieval of relevant information is difficult due to the millions of articles and thousands of journals indexed, the minuscule concentration of articles with economic content, and the inconsistency of indexing within the databases [ 3, 4].
However, the acquisition of such information is becoming increasingly difficult due to its large volume and rapid growth.
The extraction of this information from aerial imagery is difficult due to problems arising from perspective distortion, data deficiency, and corruption caused by shadows and occlusions.
However, enabling software tools to share, exchange and search information in this area is difficult due to the lack of an unambiguous knowledge representation.
The trustworthiness is evaluated using the trust information or evidence, which is difficult due to changes in topology induced by node mobility or node failure.
The determination of a beneficial solution, i.e., a respective contract in terms of a common schedule, is particularly difficult due to information asymmetry and self-interested behavior of the involved agents.
Extracting quantitative information beyond localization, however, is difficult due to the spatial variation in excitation and collection efficiency of fluorescence light, the variation in staining efficiency of chemical labels or expression levels of genetic fluorophores and variations in sample attenuation ("inner filter" effect).
Data was collected both in DC voltage mode and laser-assisted mode (in the latter of which extracting crystallographic information is known to be more difficult due to distortions).
Comparison of our imaging findings with prior reports is difficult due to limited information available in published articles.
Since a rational design and synthesis of inhibitors is often extremely difficult due to the limited information regarding the structure of the active site, we carried out a combinatorial library approach.
