In this work, the right coprime factor for balancing and truncating unstable systems is extended to parameter-varying multidimensional systems employing recent works on coprime factor model reduction of one-dimensional uncertain systems. Since the balanced truncation method cannot be applied directly to unstable systems, state feedback gains should be computed and incorporated in order to stabilize the given system and to be able to apply the balanced truncation technique via defining the so-called stable coprime factor, as coprime factorization overcomes the stability condition required for model reduction. Parameter-dependent state feedback and parameter-dependent Gramians are considered in this work yielding less conservative t

     Binary relations or interactions among bio-entities, such as proteins, set up the essential part of any living biological system. Protein-protein interactions are usually structured in a graph data structure called "protein-protein interaction networks" (PPINs). Analysis of PPINs into complexes tries to lay out the significant knowledge needed to answer many unresolved questions, including how cells are organized and how proteins work. However, complex detection problems fall under the category of non-deterministic polynomial-time hard (NP-Hard) problems due to their computational complexity. To accommodate such combinatorial explosions, evolutionary algorithms (EAs) are proven effective alternatives to heuristics in solving NP-

     Chronic Kidney Disease (CKD) has been raised as a public health state worldwide and is associated with increased cardiovascular morbidity and mortality. The aim of the study was to assess serum lipid profile levels, renal function and glucose in CKD patients undergoing hemodialysis. A total of 50 patients (23 males and 27 females) with CKD attending the hemodialysis at Kidney Unit in Al-Ramadi Teaching Hospital, Anbar Iraq and of ages ranging between 20 -85 years, were sustained for this research. The patients were classified into three categories with their mean age of 65.71±1.98 years. Eleven healthy adults were also recruited in this study with mean age of 37.00±15.56 years as control group. The study inclu

     Anise is an aromatic plant which is used in traditional medicine and pharmaceutical industry. The main components of anise seed are anise alcohol, p-anisaldehyde, estragol, acetophenone, limonene and pinene, while the volatile oil found in anise is anethole. The antioxidant, antimicrobial, anticonvulsant and analgesic properties of anise seeds and oil have been confirmed by various studies. The current study was designed to study the effects of oral administration of anise oil on the reproductive capacity of adult male mice by examining certain physiological parameters such as measuring the serum testosterone level, counting the number of sperm, sperm motility and abnormal sperm morphology. A total of 36 male mice were used and

     This paper constructs and generalizes the numerical Runge-Kutta-Mohammed (RKM) method for solving twelve-order ordinary differential equations (ODEs). The novel contribution of this study is the development and generalization of the numerical RKM methods for solving ODEs of the order of less than a tenth. The algebraic order conditions (OCs) for the proposed RKM method are derived up to order thirteen using Taylor expansion. Then, the constructed method has been derived from these order conditions. However, the proposed numerical RKM method has been evaluated at some implementations and compared to an existing Runge-Kutta (RK) method to determine the method's viability. Moreover, this comparison demonstrates the proposed direct

     This paper emphasizes on examining the impact of a magnetic field, and porous medium on the non-Newtonian Jeffery nanofluid flows due to metachronal waves induced by ciliated structures that covering the inner walls of the symmetric channel. The governing equations namely continuity, motion, energy and nanoparticles concentration are formulated with suitable boundary conditions and simplified depending on the assumption of long wavelength and low Reynolds number. The simplified equations are solved by using Mathematica program. Further, these analytical solutions for velocity profile, temperature, concentration profiles and streamlines are graphically elucidated and discussed in detail. we concluded that the Hartman number and p

     Medical diagnosis is the process of identifying the presence of a specific disease. Medical images play an important and major role in helping the doctor and specialist in the process of diagnosing the patient's condition. As a result of the technological development taking place in the fields of artificial intelligence, which processes data quickly and efficiently by responding to various conditions and situations, providing a great deal of flexibility and accuracy,  it is widely used in helping to diagnose diseases. Fuzzy logic was used to find the number of cells in medical images, where the increase or decrease in the number of cells beyond the normal limit indicates the presence of a specific disorder or disease.

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      This paper used argon plasma jets to prepare CuO nanostructures. Several techniques, including UV–Vis spectroscopy, X-ray diffraction (XRD), X-ray energy dispersive spectroscopy (EDS), and scanning electron microscopy (SEM), were used for the characterization of the prepared CuO nanoparticles. UV–Vis spectroscopy analysis confirmed that the CuO nanostructures have an energy band gap of 2.7 eV. The XRD analysis showed that the CuO nanostructures have an average crystallite size of 36 nm. Furthermore, the results of the EDX examination demonstrated the creation of CuO nanostructures of high purity. The scanning electron microscope was used to analyze the surface morphology, showing a high agglomeration rate. According to SEM

     Burn infections are a serious concern for patients with burn injuries, as they can lead to significant morbidity and mortality. The present study was designed to evaluate the chitosan activity against five pathogens collected from burn infections (Escherichia coli ZE15, Acinetobacter bummani ZA2, Klebsiella pneumonia ZK3 and Pseudomonas aeruginosa ZP17, Staphylococcus aureus ZS2). Chitosan was produced in solid-state fermentation using corn meal supplemented with 2% of shrimp shell chitin. The degree of deacetylation of chitosan was 79.5% and the FT-IR spectrum (4000 to 400) cm-1 gave IR spectra similar to that of the commercial chitosan. The produced chitosan showed a significant inhibitory ability fr

     Estimation for the reliability of a parallel redundant system with independent stress and strength Burr distribution (type  ) probability density functions is considered. Estimation of the reliability parameters is conducted according to the non-Bayesian estimation methods, namely the maximum likelihood and shrinkage methods. The Bayesian estimation is also considered using the Jeffery and Gamma priors with squared error, quadratic and weighted loss functions. Finally, the reliability estimate is calculated and the best method for estimation for each case is given using the mean squared error criteria.

     The Kumait oil field is located in the Maysan Governorate southeastern Iraq, which was studied and interpreted by using 2D and 3D seismic data provided by the Oil Exploration Company using Petrel software. The study concerned the Mishrif Formation belongs to the Cretaceous Age. The reflector was detected based on synthetic seismograms and well logs for Kt-1 well. Structural maps (two-way time, velocity, and depth) were derived from seismic reflection interpretations to show several structural features, such as four isolated irregular enclosures representing the Kumait structure plunging NW-SE and demonstrating that the Kumait oil field is influenced by the Najd fault system trending NW-SE. The stratigraphic interpretation used t

     Spiro-isatin derivatives have been the subject of extensive research due to their diverse pharmacological properties and potential therapeutic applications. These molecules are characterized by a spirocyclic structure that includes an isatin moiety and one or more heterocyclic rings, resulting in a unique and versatile molecular architecture. In this work, a series of new spiro-isatin derivatives B1-12 were synthesized over two steps. The first step included a condensation reaction between isatin and various aromatic amines, affording the corresponding Schiff bases A1-12 in high yields (up to 96%). In the second step, A1-12 unde

     This research aims to investigate the color distribution of a huge sample of 613654 galaxies from the Sloan Digital Sky Survey (SDSS). Those galaxies are at a redshift of 0.001 - 0.5 and have magnitudes of g = 17 - 20. Five subsamples of galaxies at redshifts of (0.001 - 0.1), (0.1 - 0.2), (0.2 - 0.3), (0.3 - 0.4) and (0.4 - 0.5) have been extracted from the main sample. The color distributions (u-g), (g-r) and (u-r) have been produced and analysed using a Matlab code for the main sample as well as all five subsamples. Then a bimodal Gaussian fit to color distributions of data that have been carried out using minimum chi-square in Microsoft Office Excel. The results showed that the color distributions of the main sample and all

     Staphylococcus haemolyticus is one of the most frequently isolated coagulase-negative staphylococci. The ability to form biofilm is considered as one of the most important virulence factors of coagulase negative staphylococci. There is only limited knowledge of the nature of S. haemolyticus biofilms. This study was aimed at evaluating the ability of S. haemolyticus strains to produce biofilm in the presence of copper oxide nanoparticles (CuONPs). The biological synthesis of nanoparticles is an environmentally friendly approach for large-scale production of nanoparticles. Copper oxide nanoparticles were produced in the current study from the S. haemolyticus viable cell filtrate

     Green synthesis methods have emerged as favorable techniques for the synthesis of nano-oxides due to their simplicity, cost-effectiveness, eco-friendliness, and non-toxicity. In this study, Nickel oxide nanoparticles (NiO-NPs) were synthesized using the aqueous extract of Laurus nobilis leaves as a natural capping agent. The synthesized NiO-NPs were employed as an adsorbent for the removal of Biebrich Scarlet (BS) dye from aqueous solution using adsorption technique. Comprehensive characterization of NiO-NPs was performed using various techniques such as atomic force microscopy (AFM), Fourier transform infrared (FTIR), X-ray diffraction (XRD), Brunauer-Emmett and Teller (BET) analysis, and scanning electron microscopy (SEM). Add

     The risk of breast cancer development is believed to be attributed to the alterations of a number of key biological components. Within this context, elevated levels of some chemokines that act as growth factors and can promote cancer development. The current study was designed to evaluate CXCL3 (a chemokine C-X-C Motif Ligand 3) and leptin (a peptide hormone synthesized by adipose tissue with cytokine activity) serum of Iraqi breast cancer patients in comparison to healthy controls. A total of 90 participants consisted of 60 patients diagnosed with breast cancer and 30 healthy women as control group were enrolled into this case-control study. Venous blood samples were collected from all participants to evaluate CXCL3 and leptin

     The main aim of our study was to determine if the ACE2 rs2106809 and AGT rs699 polymorphisms increase the risk and severity of Covid-19 infection in Iraqi patients. This case-control study included 102 patients (mean age 52.66±18.82 years) and 92 healthy (mean age 37.88±14.19 years). The patients were grouped based on severity: hospitalized (n = 57) and non-hospitalized (n = 45). Demographic and comorbidity data was also collected. Genotype distribution of two selected SNPs ACE2 gene rs2106809 and AGT rs699 polymorphisms was performed by allele-specific PCR (AS-PCR) and sanger sequencing. The ACE2 rs2106809 C allele was associated to an increased risk of Covid-19 infection and the s

     The primary objective of this study was to measure the expression profile of the signal transducer activator transcription 1 (STAT1) in the circulatory leukocytes of non-pregnant/pregnant ewes and test the possibility that it could be useful for detecting early pregnancy. Whole blood was collected from 20 ewes (control) and another 5 samples were taken on days (15, 25, 35, and 50). Also, blood was collected from 30 ewes on day 15 post insemination (PI) and another 10 samples were taken on days (25, 35, and 50) PI. Total RNA was isolated from peripheral blood leukocytes (PBLs), and STAT1 expression levels were determined by quantitative real-time PCR (qRT-PCR). Gene expression for STAT1 mRNA was 5.8-fold and 5.1

This study is concerned with analyzing the peristaltic flow of Bingham fluid through an irregular tube with a short wavelength “relative to channel width” and using the governing equations of Bingham fluid in the Navier-Stokes equations in the Cartesian coordinate system. Significant results of the problem were obtained and analyzed using the Wolfram-Mathematica Computational Notebook.

     Pregnancy and delivery are physiological conditions that are marked by abrupt alterations to hormones, immunological and molecular characters. The current study aimed to evaluate oxytocin (OT), prolactin (PRL), cortisol and insulin growth factor-2 (IGF-2) levels as physiological biomarkers; programmed cell death protein-1 (PD-1), programmed cell death ligand-1 (PD-L1),interleukin-6 (IL-6) as immunological biomarkers, and single nucleotide polymorphisms (SNPs; rs53576 and rs2254298) of oxytocin receptor gene OXTR as molecular factors in samples of Iraqi women undergoing caesarean section (CS) and normal delivery (ND). Blood samples were collected from 96 pregnant women at term with ages ranging between 16-43 years. Regar

     The importance of a survey of Arabic root extraction algorithms is that it can provide a comprehensive overview of the current state of the field and the various approaches used for this task. This can be helpful for academics and professionals working on Arabic natural language processing projects, since it enables them to comprehend the advantages and disadvantages of several approaches and select the one that is best suited to the task at hand. A survey can also help to pinpoint areas that require more research and can serve as a springboard for fresh studies in this area.  In general, a survey can enhance the study of Arabic root extraction and improve the quality of Arabic natural language processing tools. Researchers can

     In this work, aluminium-doped zinc oxide (AZO) nanostructure at 0.3 wt% and 0.5 wt% Al was synthesized using the pulse-laser ablation technique in liquid(PLAL) using pulsed Nd: YAG laser of a fundamental wavelength of (1064 nm). The process was done in the absence and presence of an external magnetic field. The deposited AZO nanostructures by drop-casting on etched-Si wafers were examined by different techniques. The XRD test illustrates enhancing the crystallinity of the prepared thin films by applying an external magnetic field. The FESEM images displayed the change of nanostructure to nano-sheets of high surface area after using a 77.2 mT permanent magnet placed behind the target during the ablation process. The gas sensor ba

     The shear wave sonic (S-wave) log data is essential for identifying the reservoir's geomechanical properties, which is an important factor for the drilling, completion, and optimization processes, where obtaining S-wave requires capital investment and reduces the cost. In this paper, we used the multi-layer perceptron (MLPR) and the gradient boosting regression (GBR) to predict the missing S-Wave log data for the Volve Oil Field in the North Sea. Prescriptive and predictive analysis were carried out in series to achieve a high blind data accuracy rate of 0.943 and 0.982 for the multi-layer perceptron regression and the gradient boosting regression, respectively. It was observed that the gradient-boosting algorithm achieved highe

Many researchers discussed distributive modules and their properties. In this work, the distributive property will be studied over semimodules. Some of the results obtained in homomorphisms of distributive modules are generalized. Some conditions were needed like concept subtractive, i-regular, k-regular, and k-cyclic, to get good results. The relationship between the distributive semimodule over the local semiring and the hollow semimodule was obtained, and the relationship between the distributive semimodule and the homomorphisms distributed over the intersection process or the inverse image distributed over the addition.

     Many authors investigated the problem of the early visibility of the new crescent moon after the conjunction and proposed many criteria addressing this issue in the literature. This article presented a proposed criterion for early crescent moon sighting based on a deep-learned pattern recognizer artificial neural network (ANN) performance. Moon sight datasets were collected from various sources and used to learn the ANN. The new criterion relied on the crescent width and the arc of vision from the edge of the crescent bright limb. The result of that criterion was a control value indicating the moon's visibility condition, which separated the datasets into four regions: invisible, telescope only, probably visible, and certainly v

     This work includes the synthesis of new ester compounds containing two 1,3,4-oxadiazole rings, 15_a-c and 16_a-c. This was done over seven steps, starting with p-acetamido-phenol 1 and 2-mercaptobenzoimidazole 2. The structure of the products was determined using FT-IR, ¹H NMR, and mass spectroscopy. The evaluation of the antimicrobial activities of some prepared compounds was achieved against four types of bacteria (two types of gram-positive bacteria; Staphylococcus aureus and Bacillus subtilis, and two types of gram-negative bacteria, Pseudomonas aeruginosa and E. Coli), as well as against one types of

     In this article, two issues related to the design of the experiment are investigated; namely the inspection times and optimal censoring. In the first issue, we study four different approaches to determine the inspection times, namely; pre-specified, equally spaced, optimally spaced, and equal probability using two optimality criteria. In the second issue, we identify the optimal censoring scheme by finding the expected numbers of removals or proportions that attain a specific optimality criterion using two optimality criteria considered. Numerical comparisons using the Monte Carlo simulations are provided of the inspection times, optimum control schemes issues for different parameters and different sample sizes. Statistical meas

     Mineralogical and geotechnical properties used to analyse the swelling potentials of Al-Hartha City. According to mineralogy, montmorillonite is a dominated clay mineral (33.61%) followed by montmorillonite-chlorite (33.34%), kaolinite (9.18%) and illite (5.38%). While calcite, Quartz, Feldspar, and dolomite are non-clay minerals that are also present. According to geotechnical analysis, the percent of clay range between 9-42% with an average of 25.5%, silt 55-80% with an average of 67.5% and sand 0-17% with an average of 8.5%. While liquid limits and plasticity index are, respectively, 10–25% with an average of 17.5% and 35%–51% with an average of 43%. According to the unified soil classification system (USCS), these soils

     The development of two-dimensional chromatography systems is crucial in many scientific fields as it provides improved separation efficiency and selectivity of complex mixtures. By separating compounds based on two independent properties, these systems can offer a more detailed understanding of sample composition. This increased level of detail is particularly useful in industries such as pharmaceuticals, environmental analysis, and proteomics, where complex mixtures with similar properties need to be differentiated. A new chromatography system with two dimensions was developed to separate and quantify specific flavonoids in German wine samples. The first dimension used a homemade hydrophilic interaction liquid chromatographic c

    The field of cloud-based electronic government (CBEG) is still expanding. Some conflicting results have been published regarding the factors influencing the adoption of CBEG. The paper aims to review the literature and understand the status of CBEG and the factors behind its adoption. Specific keywords related to the topic were used to extract articles from reliable databases. An extensive review was done on a total of 41 articles published between 2016 and August 2022. The findings showed that there has been an increase in the number of articles related to CBEG, specifically in the public sector. The review also showed that the quantitative approach outperformed other approaches. The Technology Organization Environment (TOE) fram