Search from the Journals, Articles, and Headings
Advanced Search (Beta)
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...

اُس نے بھی کیا چاہے وہ اقرار نہیں تھا

اُس نے تو کیا چاہے وہ اقرار نہیں تھا
ایسا بھی نہیںمجھ سے اُسے پیار نہیں تھا
اب شکل مری مجھ سے بھی تو ملتی نہیں ہے
ایسا تو کبھی مَیں اے مرے یار نہیں تھا

Cardiovascular Effects of Nigella Sativa on Isolated Rabbit Heart and its Impact on Cardiac Remodeling

Background: Black Cumin/Nigella sativa (NS) which belongs to the botanical family of Ranunculaceae commonly grows in Eastern Europe, the Middle East, and Western Asia. Its prolonged use can produce physiological changes with or without affecting the architecture of different organs like the heart (cardiac remodeling). The data for the cardiovascular benefits of black cumin are not well-established scientifically. Objectives: To determine the direct cardiovascular effects of Nigella Sativa extract on heart rate, cardiac contractility (apical force), ECG, and coronary flow in the normal heart with and without cardiac remodeling. Methods: This experimental study was conducted on forty-two (42) rabbits. These rabbits were divided into seven groups, each comprising six animals (Group I-VI without cardiac remodeling and Group VII with cardiac remodeling). NS was given to these groups in different doses i.e, Group I (NS=10ug), Group II (NS=30ug), Group III (NS=100ug), Group IV (NS=300ug), Group V (NS=3000ug), Group VI (NS=10000ug) and VII (NS=300ug). Radnoti's working heart system was used to determine the effects of NS on heart rate, cardiac contractility (apical Force), ECG, and coronary flow in a normal heart with and without cardiac remodeling. The results were analyzed using SPSS version 28.   Results: Results of this study revealed negative chronotropic and positive inotropic effects without ECG changes in the normal heart and with ECG changes in the remodeled heart. Conclusions: Prolonged use of Nigella sativa can lead to disturbed ECG by affecting the conducting tissue.

Software Maintenance Prediction: An Architecture Perspective

Every successful software product is required to be maintained at some later stage of its life cycle. This maintenance is constrained in different ways by its cost, lead-time, and quality. These constraints are not always straightforward enough to be precisely quantified and understood. If a company can predict the maintenance in advance it can plan its business accordingly. This can be attributed to software engineer’s ability to model the predicted maintenance effort required early in the development cycle. The customers now have keen interest in software quality requirements (i.e. quality attributes (QAs)), like maintainability, reliability, performance, and flexibility too. Therefore, the maintenance may be required from the product’s functionality or its quality point of view. Software architecture is an excellent vehicle to showcase the changes, especially related to QAs that take place over the time. The QAs are interlinked with each other that make the maintenance effort estimation more complex. Unless, we have effective maintenance profiles maintained from very early in the development cycle, it is quite difficult to achieve quality according to customer satisfaction. In this thesis, efforts have been made to identify mechanisms which ensure early maintenance prediction. Software architecture, in our opinion, is one such artifact which can effectively be used to address the above mentioned problems. Software architecture has assumed greater significance over the past two decades as an artifact which not only plays vital role in development of quality software but also in its maintenance and up gradation. In this thesis a methodology for prediction of software system’s maintenance based upon their software architecture design has been defined. As a secondary step the thesis also presents a complete methodology for ripple effect analysis based on quality attribute in order to cover the maintenance of software quality in addition to its functionality. The proposed method enables us to predict the overall maintenance effort quite early in the software development life cycle and provides an insight whether the components will remain consistent after the change or it will be come fluent and inconsistent. The proposed method can also help in better understandability of the software and consequently more reliable early planning.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.