Journal of Kufa for Mathematics and Computer

We introduce and study the concept of almost T -m- continuous multifunctionsby
using the concept of T- open set and minimal spaces, which is stronger than the concept of almost - continuous multifunctions. Several properties and characterizations of this new concept are proved .

The purpose of this paper is to introduce a
summation-integral q-Beta-Szàsz operators denoted
by

( ( . We use the method of Koroviktype statistical approximation to prove our operators
is approximate . then, we establish a Voronovkajatype asymptotic formula for the q-operators.
Finely,we obtain an error estimate in terms of
modulus of continuity being approximated.

— In this paper, we introduce a new
method of blurring and deblurring digital images
using new filters generating from Average filter
using HB Markov basis. We call these filters HBfilters. We used these filters to cause a motion
blur and then deblurring affected images. Also,
we study the enhanced images using HB-filters
as compared to other methods like Average,
Gaussian, and Motion. Results and analysis show
that the HB-filters are better in peak signal to
noise ratio (PSNR) and RMSE

The work in this paper presents a proposed
solution for preprocessing, analyzing, mining
and data warehouse model for personal medical
data collected from different hospitals and
clinics. The proposed solution contains different
phases and steps, including Extraction,
Transforming and Loading (ETL) and data
preprocessing focuses on converting the logged
data into categories suitable for analysis and
mining process, a star warehouse model was
implemented that fulfills the required processing
techniques, data are represented by multidimensional cubes for efficient and better data
representation, and finally link analysis was
applied on the data.
The proposed framework is simple and straight
forward for implementation. Personal medical
data from different sources mostly in Excel files
were converted into clean, complete and
consistent data by different preprocessing
techniques. Logged data were converted into
high quality, reliable and suitable for analysis
and mining process. Star warehouse schema was
implemented since it is very suitable for such
type of data and mining techniques. 19900
patients records were collected and used in this
work. Excel and WEKA software were used for
the analysis and mining processes.

Teaching staff performance assessment are vital for
career progress and mentoring. Faculties at University
of Kufaevaluate the performance of their academic
staff on a yearly basis by Head of Department and the
Students.The evaluation instrument are two different
forms that contains set of questionnaires, one is usually
completed by Head of Department (HE) and other by
the students (S). It is therefore the main aim of this
research is to assess the association between HE and
SE.
The data was collected for 24 teaching staff from
Department of Quality and Performance at the Faculty
of Mathematics and Computer Science by means of
questionnaires. The problem is that the form that is
completed by student are not measuring what is
suppose to measure. It is therefore new version of
questionnaires are designed and the students asked to
complete both version in order to compare them. The
results shows the staffs grades as a result of HE are
much higher than grades result from theSE, and that
new version of questionnaires are more reliable than
the old version.