Mustansiriyah journal of pure and applied sciences

Due to its flexibility, the skew distributions (univariate and multivariate) have received
widespread attention over the last two decades because they're become widely used in the
modelling and analysis of skewed data sets. The main goal of this paper is to introduce asymptotic
expressions for entropy of multivariate skew Laplace normal distribution to deal with the issue by
providing a flexible model for modeling skewness and heavy tiredness simultaneously. Thus, we
extend this study to the class of mixture model of these distributions. In addition, upper and lower
bounds of Rényi entropy of mixture model are found, by using generalized HӦlder’s inequality
and some properties of multinomial theorem.. Finally, we give a real data examples to illustrate
the behavior of information. A simulation study and a real data example, are also provided to
illustrate the information behavior of MSLN and MMSLN distributions for modeling data sets in
multivariate settings.

A theoretical model of three levels describing Holmium-doped fiber lasers pumped by Laserdiodes 1150nm is present. Based on the model, efficiency as well as output power depend on
the length of active media, are investigate, using the MATLAB program (R 2019 a). The
results shows that output power and efficiency of optical fibers are exponential inverse
relationship with increment fiber length, for 1m output power have highest value 100.4W,
while efficiency have 44.6% at 0.05m.

Cesium (Cs-137) radiation energy was shined on two aerogel samples made from two different
starting materials at room temperature and pressure three times a day for one hour, two hours,
and twenty-four hours. G1 and G2 were used as silicic acid sources to fabricate the two
different types of aerogel samples. G1 represents tetraethyl orthosilicate (TEOS), while G2
represents sodium silicate (Na2SiO3). Field emission scanning electron microscopy analysis
revealed the morphological characteristics of the molecular bonds and the impact of irradiation
on them. Fourier-transform infrared spectroscopy investigated the molecular bonds and their
characterization before and after exposure to radiation. The samples made from TEOS at room
temperature and pressure were not affected by radiation in either the FTIR or FESEM tests.
However, the samples made from Na2SiO3 at room temperature and pressure showed that some
of the peaks were disappearing because they were exposed to radiation. Also, the peaks of the
CH3 functional group are associated with the hydrophobicity of the material. The homogeneity
and uniformity for all samples are dominant, and the size of the colloidal particles is about 30-
33 nanometers (nanometer structure), which is no different from the size of the particles before
and after exposure to gamma rays.

The process of medical diagnosis of leukemia cases is a complex process and requires diligent
efforts. It is done by examining samples under a microscope and distinguishing the number,
shape, size, and morphological features of white blood cells. This process takes a long time to
predict leukemia. The professional skills and experience of the pathologist may also influence
this procedure as a large number of overlapping structures and conditions, distractions, fatigue,
and limitations in the human visual system can lead to an inappropriate diagnosis. Machine and
deep learning approaches have been found to be effective strategies for enhancing the precision
and efficiency of diagnosis and classification of medical images, including those of microscopic
blood cells. In this paper, we will review the recent studies of leukemia detection and/or
classification in the period of (2015 - 2023) in machine and deep learning and the combining of
them. The review of these schemes is carried out in a systematic manner. In order to achieve the
desired objective, segmentation schemes can be classified into four main categories: supervised
machine learning techniques, unsupervised machine learning techniques, deep learning
approaches, and traditional image processing techniques. Classification approaches can be
categorized into three main groups: classical machine learning, deep learning, and a combination
of both. CNN-based categorization systems can be further classified into three categories:
conventional CNN, transfer learning, and additional developments in CNN. This paper also
provides a concise analysis of these strategies and their significance in the categorization of
leukemia. Ultimately, a comprehensive examination is conducted to elucidate the current state of
research in this particular domain.

A new record of species Anaulacus Aephnidius ampliusculus in Iraq which belong to family
Carabidae in order Coleoptera when study the diversity of insects in Canaan forests in Diyala
governorate. With highest density recorded in May and September.

Let R` be a semi prime rings. An additive mapping L: R`→R` is called a zero-power valued on
V over L is preserving V and if for each p belongs to V, that’s meaning, there exists a positive
integer n(p) > 1 such that L^(n(p))(p) = 0. The main purpose of this article is to study the
notion of an additive mapping which is named zero-power valued mapping with dependent
element of a semi prime ring. As a factual information, we deliver some results concerning
that.

The description dust plasma behavior via a multi-fluid model, Where it represents
that Boltzmann distributed electrons and ions, the dust momentum and Poisson's
equations, in addition to the continuity equation that has a source term for the dust
grains. The Runge-Kutta technique of fourth order was then used to numerically
solve the equation. The solution shows a variety of behaviors under wide range of
parameters changes. In particular, the solution of the equation shows a chaotic
behavior at α= 1.0. In this study, the chaotic behavior in the plasma complex is
graphically studied and discussed for some certain parameters. The aim of this
study can be helped the researchers to investigate several nonlinear oscillations in
different plasma and fluid mechanics models.

Chronic kidney disease (CKD) is a major health burden affecting over 10% of the
global population. As kidney function deteriorates across progressive CKD stages,
systemic inflammation and cytokine activity are upregulated which further drive
disease advancement. Vascular endothelial growth factor (VEGF) also becomes
increasingly dysregulated with implications for vascular pathology. However, step-wise
changes in these pathways correlating with declining renal filtration have not been
clearly elucidated : Objective: This study aimed to evaluate the utility of estimated
glomerular filtration rate (eGFR) using the MDRD equation for disease staging, and to
explore potential non-invasive biomarkers, including inflammatory markers and
vascular endothelial growth factor (VEGF) expression, for early prediction of renal
dysfunction; Methods: 50 CKD patients categorized into stages 1-4 (n=10 each) and 10
healthy controls were recruited. Serum creatinine was measured enzymatically and
eGFR calculated. Plasma TNF-alpha and CRP concentrations were determined by
ELISA. Relative VEGF mRNA levels were quantified by RT-qPCR and normalized to
GAPDH; Results: Advancing CKD stage showed step-wise increases in serum
creatinine (p<0.001) and reductions in mean eGFR (p<0.001). TNF-alpha and CRP also
demonstrated significant stage-dependent elevations beginning from early stage 2
disease relative to controls (p<0.01). VEGF expression escalated progressively from ~3
fold in stage 2 to ~129 fold in stage 4 CKD compared to normal individuals (p<0.001);
Conclusions: Deteriorating renal function is associated with substantive aggravations in
systemic inflammation and VEGF expression. Tracking these biomarkers could enable
early detection of underlying pathology prior to onset of severe kidney impairment.

Bayesian analysis of two-parameters Lomax distribution's reliability has been examined in this
search using three prior functions [ Gamma, assumption &Inverted Levy] , the estimation was
produced under squared errors loss function used idea of Lindley. The simulation study was
carried out to assess the performance of the three alternative estimators of reliability function by
6 assumed experiments for different values of distributions parameters with small, moderate, and
large sample sizes using mean squared error criteria. The best performance, according to the
reported results showed that the best performance was for Inverted Levy prior with squared
error loss function.

Changes in climate indicate both continuity and variability in the regime from year to year.
Especially for air temperature (AT) and precipitation in recent years, the climate system has
changed very rapidly since the Industrial Revolution. The European Centre for Medium-Range
Weather Forecasts (ECMWF), which recently updated the ERA-5 version, was the main source
of data and made available as a monthly dataset. The study period of 30 years has been divided
into 3 periods: Its results were that AT in the first period had begun to rise linearly(0.18K) while
on the contrary for precipitation they decreased significantly(-0.42mm/day), while the second
period increased the rise in AT(0.20K) with an increase in precipitation decrease(-0.43mm/day),
and 2010 was the year in which AT were recorded the most as(299k) a result of increasing gas
emissions and human activity, and this made it the least year for precipitation(4.2mm/day), and
the third period was also increasing AT (0.28k)with a decrease in precipitation rates(-
0.05mm/day), except 2018 which was a rainy year with a high precipitation rate
as(10.3mm/day) a result of sandstorms and thunderstorms in it.

The casting technique has been successfully used to prepare films with polyaniline (PAni) blends.
Films made from the (PMMA ,PAni ), PS, and POE at consistent concentrations have a thickness
of 50 micro meters. By using XRD and FTIR spectroscopy, the PAni Blends films are identified.
Using this method, the presence of the films' distinctive bonds was discovered. Electrical
characteristics showed that, the conductivity of PAni blend sheets measured at room temperature
is as follows: for PAni blends made with PMMA, PS, and PEO, respectively: (5.18, 9.23 and 0.12)
10-9 S.cm-1. The tensile stress and hardness numbers of the numerous PAni blend films can differ
from one another depending on the mechanical characteristics. The results also indicated that the
polymers can be used with a very thin layer in photovoltaic cell applications.

In this work, CoFe2O4 nanostructure was synthesized from Cobalt and ferric nitrates and sodium
hydroxide (NaOH) by hydrothermal method. Effect of heat treatment on the structural, optical,
and magnetic properties of the resulting powder was studied at calcination 400°C and 600°C
with different concentration of NaOH. The resulted products were characterized by X-ray
diffraction (XRD), Field emission scanning electron microscopy (FE-SEM), Fourier transformed
infrared (FTIR), UV–Vis absorption, and vibrating sample magnetometer (VSM) technique as
synthesis and when calcination at 400°C and 600°C with different concentration of NaOH. The
absorption spectra show CoFe2O4 nanostructure absorb the ultra violet area. The high
temperatures of the calcination process results in the reduction in crystallite size that their
average crystallite size is found (11-14.26) nm. The FE-SEM images indicated that particles
were agglomerated and spherical shape and size between (23.6 - 57.9) nm expect the
morphology is clearly a structure nanorods at 3M at 400 oC. The created CoFe2O4 nanostructure
have demonstrated ferromagnetic behavior for all the samples behavior which was found in
VSM results examination.