Blood Glucose Levels in Hypertensive Patients During Treatment with Different Antihyperten-sive Agents

&#60;P&#62;Fasting blood glucose was determined in 27 adults with essential hypertension at four different periods during a 12-month treatment with doxazosin, an alpha-adrenoceptor antagonist, and in another set of 20 adult hypertensive patients, after 3 months treatment with amlodipine, a calcium antagonist. The mean fasting blood glucose levels at various determinations during doxazosin therapy did not show any significant variation from the pre-treatment value. Similarly, mean fasting blood glucose level remained the same after 3 months of amlodipine therapy. The findings, therefore, highlights the safety of doxazosin and amlodipine antihypertensive pharmacotherapies.&#60;/P&#62;</p

EVIL: Exploiting Software via Natural Language

Writing exploits for security assessment is a challenging task. The writer needs to master programming and obfuscation techniques to develop a successful exploit. To make the task easier, we propose an approach (EVIL) to automatically generate exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work. We present an extensive experimental study to evaluate the feasibility of EVIL, using both automatic and manual analysis, and both at generating individual statements and entire exploits. The generated code achieved high accuracy in terms of syntactic and semantic correctness

Improvement Opportunities and Suggestions for Benchmarking

During the past 10 years, the amount of effort put on setting up benchmarking repositories has considerably increased at the organizational, national and even at international levels to help software managers to determine the performance of software activities and to make better software estimates. This has enabled a number of studies with an emphasis on the relationship between software product size, effort and cost factors in order to either measure the average performance for similar software projects or develop reliable estimation models and then refine them using the collected data. However, despite these efforts, none of those methods are yet deemed to be universally applicable and there is still no agreement on which cost factors are significant in the estimation process. This study discusses some of the possible reasons why in software engineering, practitioners and researchers have not yet been able to come up with well defined relationships between effort and cost drivers although considerable amounts of data on software projects have been collected.Volume 5891/200