Search

Creating suitable, data-friendly models to interpret statistical data has been a goal of numerous researchers. Even new generalizations of models with several parameters are developed to handle complex data. The Burr XIII distribution has been utilized extensively in software reliability, failure censored plans, future observables prediction, ball-bearing loss, tax revenue, etc. Abdel-Ghaly et al.(1997), Wu and Yu (2005)), AL-Hussaini (2003), Shao Q. et al. (2004), Mead M. E. (2014). This article suggests changing the Burr XIII (MB XIII) distribution. The projected distribution is more adaptable and manageable than the Burr type XIII (B XIII) distribution and its parent. The proposed distribution's characteristics are deduced in some cases. To demonstrate its utility, we compare Burr XIII and its sub-model to real-world data sets, ball-bearing failure metrics, and actual tax revenue data (in 1000 million Egyptian pounds).

The effects of Prostaglandin Analogs on intraocular pressure and increased aqueous outflow via trabecular meshwork into the schlemm’s canal has been studied in this present research paper. Aqueous humor is an outflow, which flows at the back of the iris in the posterior chamber all the way through the pupil aperture, out into the anterior chamber, and drain from the eye via drainage slope. The eye keeps on making aqueous humor in the ciliary body and it passes through the trabecular meshwork into the scheme of the canal, the key drainage from the eye and it finally goes to the “collector channels” and due to the less amount of aqueous humor fluid flow from the drainage angle, the pressure in the eye starts to increase. For this study, the canal of Schlemm is assumed as a permeable channel. And it is connected by trabecular meshwork. The inner layer of the canal's wall has been assumed as permeable. And the aqueous humor drains into the canal through this porous tissue wall. The objective of this paper is to discuss the effect of prostaglandin analogs on intraocular pressure as the Prostaglandin Analogs work by increasing the outflow of aqueous from the eye.

Background For design of a subunit vaccine for tuberculosis, identification of antigenic Tcell epitope is of utmost importance. Several MHC prediction server are available that can accurately predict antigenic peptide of variable lengths. However, peptides predicted from one server not necessarily are predicted form another server, thus creating a confusing situation for scientists to choose a best epitope. Method Keeping the above problem in mind, we developed a comprehensive database of peptides of Mycobacterial proteins. Each protein was taken from PubMed and was run through different MHC prediction servers, with the results being compiled into one database. Results For each protein, PeMtb generates a set of three different mers of variable lengths (12 mer or 13-mer) based on their ranking; with each mer being predicted for a plethora of MHC alleles. Researcher can choose the peptide (mers) that gives best binding affinity from most of the servers. Conclusion The database relieves the investigators of the painstaking task of searching various MHC prediction servers for the right epitope (T-cell epitope) for a particular Mycobacterial antigen. We trust and anticipate that PeMtb will be a practical platform for trial and computational analyses of antigenic peptides for Mycobacterium tuberculosis. All the resources and information can be accessed by PeMtb home page www.pemtb-amu.org.