porophyrins and their metal derivatives are strong dna binders with association constant of  to  . some of these compounds have been used for the radiations sensitization therapy of cancer and are targeted to interact with cellular dna. binding of porphyrins to dna changes the expectral and other physic chemical characteristic of porphyrins, the mode of binding can be extracted from inspection ...

Issues such as hand and tracker jitter negatively affect user performance with 3D selection techniques based on the ray-casting metaphor. This makes it difficult for users to select objects that have a small visible area, since small targets require high levels of precision. We introduce an approach to address this issue that uses progressive refinement of the set of selectable objects to reduc...

To answer a question about a context paragraph, there needs to be a complex model for interactions between these two. Previous Machine Comprehension (MC) where either not large enough to train end-to-end deep neural networks, or not hard to learn. Recently, after the release of SQuAD dataset dataset, several adept models have been proposed for the task of MC. In this work we try to combine the ...

There is a wealth of molecular information that has enhanced the reconstruction of regulatory networks and pathways in plants, specially in Arabidopsis thaliana due to its central role as a model system. Most of this information, however, has proven to be insufficient to construct quantitative models due to the absence of sufficiently accurate measurements of kinetic constants. Hence, there hav...

From January 1983-December 1986 a total of 880 patients were received by the 'Flying Squad Team' from Rawalpindi and Islamabad. The average delay between the onset of chest pain and medical aid was considerably less in those patients evacuated by 'Flying Squad' compared to those who came on their own (3.2 + 1.2 SEM hours vs 6.5 + 2.0 SEM hours). Eighteen cases developed cardiac arrest outside h...

Machine comprehension (MC) and question answering (QA) are crucial tasks in natural language understanding. Training deep neural network-based QA models has become practical upon the recent release of the Stanford Question Answering Dataset (SQuAD), a significantly larger dataset of question-answer pairs created by humans on a set of Wikipedia articles [1]. In this paper, we propose an end-to-e...