Dear colleagues, being the part of the editorial
team of this reputed journal, I feel very privileged and delighted to get an
opportunity to write an editorial opinion article for the journal. I would like
to thank all the contributors i.e. authors, reviewer's, editors etc. of the
journal on behalf of editorial team of the Crimson Publishers, Open Access
Journal of Biostatistics & Bioinformatics. In my academic journey, I have
experienced that more than once students are found to confront a perplexing situation: why to write or publish an academic research paper. Further, even if
due to some compelling factors (like obligation to faculty in-charge,
supervisor etc.) if forced to write thesis/reports, they again come across a
challenging situation, why at all to publish the research paper? A fear of
rejection is always there in their minds, "If I ever submitted a paper it
will be rejected". Believe in yourself, you can do it too, go out submit a
paper, take the reviews positively, modify and resubmit and you’ve done it.
One of the basic problems with which all leaders
must contend is that the ideals and ideas they are expected to use to solve
existing problems are often simply common assumptions. This is particularly
true in the field of economics-a domain in which beliefs and arguments over
them have in the past century clearly become religious in nature. The general
field of economics relates to the system of allocating productive goods and the
land, tools and labour employed to produce them. The need for systems is a cultural
universal [1], but one might legitimately inquire as to just how systematic the
systems are. Capitalism really is not a system: it is economic anarchy.
Socialism is too systematic: it stifles initiative with plans for state
traction. Communism 1 is economic democracy- collective stupidity, with each
detracting according to his means and by 1842 using a universal language based
on "Hunger", "Envy" and "Death" [2]. Fascism is
economic over think.
Cone-shaped antenna's area unit is helpful for
several applications as a result of their broadband characteristics and
relative simplicity. This instance includes associate in nursing analysis of
the antenna electric resistance and also the graphical record as functions of
the frequency for a biconical antenna with a finite ground plane and a fifty
fi concentrical feed [1]. The motionsymmetry makes it doable to model this in axially interchangeable 2nd. Once
modelling in 2nd, you'll be able to use a dense mesh, giving a superb accuracy
for a good vary of frequencies.
The aim of present is to develop & evaluate
Sustained release matrix tablet of Repaglinide. Repaglinide is an effective
antihyperglycemic. But owing to its shorter half life it needs frequent
administration. In present study, an attempt has been made to develop Sustained
release matrix tablet of Repaglinide thereby reducing its frequency of
administration & other dose related side effects. Various grades of HPMC
(K4M, 100M & 15M) were used as hydrophilic matrix polymer. Croscarmellose
was used as swelling agent. Total 9 formulations were prepared in trial
batches. The formulation was evaluated for various pre compression & post
compression parameters. All the formulations showed compliance with the
pharmacopoeial standards. On the basis of evaluated parameters formulation F9
was considered to be the best one. Formulation F9 containing polymer HPMC
showed 99.15% in- vitro drug release profile. The release data for formulation
F9 was fitted to various mathematical models like zero order, first order,
Krosmeyer Peppas & Higuchi model. It was observed that drug follows zero
order & Higuchi model.
One
of the objectives of manufacturing industry, is to increase the efficiency in
their processes using different methodologies, such as statistical modeling,
for production control and decision-making. However, the classical tools
sometimes have difficulty to depict the manufacturing processes. This paper is
a comparative study between a multiple regression model and a Radial Basis
Function Neural Network in terms of the statistical metrics R2 and R2 adj
applied in a permanent mold casting process and TIG welding process. Results
showed that in both cases, the RBF network performed better than Regression
model.
A retrospective cohort study was done on adult
Tuberculosis (TB) in-patients from Queen Elizabeth Central Hospital (QECH)
Surveillance Programme of In-patients and Epidemiology (SPINE) database to
identify factors explaining time to discharge from hospital while accounting
for a competing event: death. The study aimed to apply and compare competing
risk models on TB data. Semi-parametric Cause-specific hazards (CSH) and
Sub-distribution hazard (SDH) models were applied to model the effect of HIV
status, age, and Sex in relation to death or discharge from hospital. Test for
model assumptions and diagnostics were conducted. Findings showed that the SDH
explained best the effect of the covariates to the probability of a patient
being discharged or dying.
