This work aimed to select a safe and bacteriocin-producing isolate of Lactobacillus to use it as a probiotic for treating Pseudomonas aeruginosa associated with burn infections. For this purpose, 151 burn wound swabs were collected from patients to isolate the most common multi-drug resistance Pseudomonas aeruginosa that could be used as an indicator. In addition, thirty-six Lactobacillus isolates were collected from different sources and subjected to a screening program to evaluate their antagonism activities against MDR P. aeruginosa. Based on results, the isolate Lactobacillus HLB12 showed a highest bacteriocin production which was further characterized as Limosilactobacillus f

     Background:  Chemokine (C-X-C motif) ligand (CXCL9) has an important role recruiting the T-lymphocytes and immune response after infection by inducing T-cells accumulation around the areas associated with infections. However, this role is poorly known in relation with Toxoplasma gondii infection and also in association with thyroid hormones, which the present study is focused on.

Methods: Eighty-seven women were included in this study for the period between September 2021 and February 2022. Blood samples of uninfected healthy pregnant, in addition to aborted and pregnant women infected with toxoplasmosis, were collected. Sera were then obtained and stored at -10°C. Toxo-latex a

    When images are customized to identify changes that have occurred using techniques such as spectral signature, which can be used to extract features, they can be of great value. In this paper, it was proposed to use the spectral signature to extract information from satellite images and then classify them into four categories. Here it is based on a set of data from the Kaggle satellite imagery website that represents different categories such as clouds, deserts, water, and green areas. After preprocessing these images, the data is transformed into a spectral signature using the Fast Fourier Transform (FFT) algorithm. Then the data of each image is reduced by selecting the top 20 features and transforming them from a two-dimensiona

This paper concentrates on employing the -difference equations approach to prove another generating function, extended generating function, Rogers formula and Mehler’s formula for the polynomials , as well as thegenerating functions of Srivastava-Agarwal type. Furthermore, we establish links between the homogeneous -difference equations and transformation formulas.

Helicobacter pylori (H. pylori) is widespread and involved in the pathogenesis of the majority of stomach and duodenal diseases. Reduced stomach acidity facilitates the initial infection. Electrolytes (sodium, potassium, and chloride) are essential for the production of stomach acid. This study aimed to observe any changes in the levels of serum electrolytes (Na, K, and Cl) and serum vitamin C levels in a sample of Iraqi patients infected with H. Pylori. We studied 30 infected patients with H. Pylori and 30 matched healthy controls. The results revealed that the serum sodium, potassium, and chloride levels were significantly decreased (p = 0.002, 0.003 and 0.0001, respectivel

     This paper focuses on choosing a spatial mixture model with implicitly includes the time to represent the relative risks of COVID-19 pandemic using an appropriate model selection criterion. For this purpose, a more recent criterion so-called the widely Akaike information criterion (WAIC) is used which we believe that its use so limitedly in the context of relative risk modelling. In addition, a graphical method is adopted that is based on a spatial-temporal predictive posterior distribution to select the best model yielding the best predictive accuracy. By applying this model selection criterion, we seek to identify the levels of relative risk, which implicitly represents the determination of the number of the model components o

     Let R be a commutative ring with 1 and M be a left unitary R-module. In this paper, we give a generalization for the notions of compressible (retractable) Modules. We study s-essentially compressible (s-essentially retractable). We give some of their advantages, properties, characterizations and examples. We also study the relation between s-essentially compressible   (s-essentially retractable modules) and some classes of modules.

To assess various methods for relocating a fictional satellite from a geosynchronous transfer orbit (GTO) to a lunar orbit, this research project was conducted. The primary objective of the study was to determine the most time and cost-effective technique, while also considering the influence of perturbations and other possible variables on orbital mechanics analysis. Three different approaches were examined, involving the transfer of the satellite in one, two, or three separate rounds. The development of algorithms for this investigation relied on MATLAB orbital mechanics software, and careful consideration was given to factors such as delta-v, mission duration, spacecraft mass, and potential perturbations throughout the course of the t

     This study was done to find the potential renal protective effects of sildenafil and its underlying mechanisms in mice with adenine-induced CKD. For the experiment, 40 male mice were split into four groups. The control group (A) received the same food without medication until the research ends, while the other three collections (B, C, and D) were given adenine (0.25% w/w in feed daily for 8 weeks), groups (C and D) were given sildenafil (0.5 and 2.5 mg/kg) respectively orally every day for 30 days, and then blood samples were taken to assess the function of the kidneys (Urea, total protein, and creatinine), total antioxidant capacity (TAC), superoxide dismutase (SOD), and catalase (CAT) in addition to kidney histopathology, as w

      Landsat7 of Enhanced thematic mapper plus (ETM+) was launched on April 15,  1999. Four years later, images start degrading due to the scan line corrector (SLC). SLC is a malfunction that results in pixel gaps in images captured by the sensor of Landsat7. The pixel gap regions extend from about one pixel near the image center and reach up to about 14 pixels in width near the image edge. The shape of this loss is like a zigzag line; however, there are different studies about repairing these gaps. The challenge of all studies depends on retrieving inhomogeneous areas because the homogenous area can be retrieved quickly depending on the surrounding area. This research focuses on filling these gaps by utilizing pixels around them

     Water balance as a technique is considered one of the means that is relied upon in solving significant hydrological problems. The soil and water assessment tool (SWAT) model was used in this study to assess the water balance in the Wadi Al-Mohammadi basin located at the eastern edge of the Western Desert. Digital elevation model, soil data, Land use - Land cover, and climate data represent the most important requirements for the SWAT model's input as a database. The Wadi Al-Mohammadi basin delineation results show the overall drainage area was 2286.8 km² with seven sub-basins. The trend line of climate data indicates a clear increase in the total rainfall, relative humidity, temperature, and solar radiation from 1990-

Atrial fibrillation (AtrF) is described as uncoordinated atrial activity and inefficient atrial contraction, a supraventricular tachyarrhythmia. 1-2% of the general population suffers from AtrF, which is more common with older people but may go undiagnosed for a long time. Effective methods of identifying AtrF are required due to the increasing occurrence and rising hospitalization expenses and treatment associated with AtrF. In this study, 6000 ECG signals were used to evaluate AtrF classification using different types of Support Vector Machine (SVM) classifiers (Linear, Quadratic, Cubic, Fine Gaussian, Medium Gaussian, and Coarse Gaussian). Parameters used for feature extraction related to RR interval are (RR Interval) the interval bet

Malicious websites are those that are created to harm visitors or exploit their information for illegal purposes. These websites are commonly utilized in attacks, such as phishing, malware distribution, and scams. Clicking on a malicious URL can result in catastrophic outcomes, such as data breaches, financial losses, and identity theft. Detecting and blocking these websites is essential for protecting individuals and organizations from online threats, preserving data security, and sustaining confidence in online platforms. Researchers presented several methods for detecting malicious websites. Due to the threat's evolution, the problem remains unsolved. This paper presents a machine-learning model for malicious website identification. T

 The study aims to investigate and assess the indoor air quality within two renowned museums situated in Baghdad city, namely the Iraqi National Museum and the Natural History Museum, during the months of October and November 2023. A Temtop device was used to measure the main indoor environmental parameters in these museums, particularly (total volatile organic compounds (TVOC), formaldehyde (HCHO), particulate matter (PM), temperature, and humidity), as well as Air Quality Index (AQI). The average concentrations of different air pollutants measured in both museums were as follows: TVOC was 0.93 mg/m3 and 0.80 mg/m3, HCHO was 0.31 mg/m3 and 0.28 mg/m3, PM2.5 was 57.23 μg/m3 and 52.33 μg/m3, and PM10 was 85.11 μg/m3 and 72.82 μg/m3.

Polycyclic Aromatic Hydrocarbons (PAHs), which are chemical molecules, have been causing numerous health and environmental issues in water supplies. This study investigated the levels of PAHs in groundwater samples collected from the Diyala Bridge and Al-Ahdamiyah districts between March and June 2023. Ten groundwater samples were collected from different locations; six wells were distributed in the Diyala Bridge area and four in the Adhamiya area. The results show that the average total amounts of PAHs in each water sample in Diyala Bridge and Al-Ahdamiyah districts ranged between 16.0 – 472.63 ppm with a mean of 213.13ppm, which is significantly higher than the ten ppm control. During the study period, Several locations reported noti

Recent research indicates that bacterial cellulose (BC) and bacterial nanocellulose (BNC) exhibit promising adsorptive properties for antimicrobial agents, owing to their complex network structure, high surface area, and substantial porosity. The aim of this study was to analyze the impact of the antimicrobial, antibiofilm, activity of BC and BNC on different bacterial isolates, were collected from wounds and burn wound patients. Also, a study examined the antioxidant activity. In this study, (BC) and (BNC) was produced from vingar mothers. The Pathogenic bacterial isolates were collected from wounds and burn wound patients of different age groups. The antibiotic susceptibility testing by disk diffusion method and Vitek 2 compact system

The current experiment set out to determine the level of heavy metal pollution in the studied soil. Sixteen sites were chosen to collect soil samples. ICP-MS was utilized to assess heavy metals in soil samples. The detected heavy metal concentrations were compared with the values of the Geochemical Background WHO recommendations. Based on the pH values, all soil samples in the research region are determined to be alkaline. The average pH of the research area is 7.30. The heavy metal pollution was evaluated using descriptive statistical analysis and a correlation matrix. The soil exhibits a range of heavy metal pollution, varying from very low to severe. The mean concentration of elements B, Cu, Hg, Cr, Ni, and Sr was higher than the glob

The behavior of the result involution graph associated with the finite simple group O'N was investigated in this article. This includes determining particular properties of the graph  and showing their effect on the algebraic properties of the group O'N. 

It is important to spotlight the non-oil Iraqi wealth used in industry, including the kaolin clays in western Iraq, specifically in Anbar Governorate, where they are found in large quantities suitable for investment. This study focuses on the red kaolin clays found in the Hussainiyat Formation (Lower Jurassic) in the southeast of the Hussainiyat Valley. These clays are important in various industries, including ceramics, cement, and bricks. Geochemical analysis plays a an important role in determining the suitability of these clays for industrial use.

Kaolinite was studied in the Northeastern Hussainiyat Area within the Hussainiyat Formation (Lower Jurassic). The presence of kaolinite and illite-smectite was noted, in addition to

Data Science and Machine Learning have been playing a major role in assessing, predicting and maintaining the health of power transformers using data analysis. This paper focuses on leveraging data science techniques to analyze and interpret Dissolved Gas Analysis (DGA) datasets associated with power transformers to predict Health Index (HI). The Exploratory Data Analysis (EDA) involving the correlation matrix and heat maps showed the correlation among all the features and indicated that the dataset considered is not balanced; hence, the data balancing technique of oversampling is employed to balance the data. Principle Component Analysis (PCA) is used to estimate the principal components of the data, helping in selecting the features th

Water is a precious, essential, and dwindling resource in both developing and developed nations. As a vital nutrition for human beings, it easily takes the cake as the planet's most valuable natural resource. Various wastes, including municipal, industrial, agricultural (including pesticides and fertilizers), medical, etc., contribute to geo-environmental contamination and render water unfit for human or animal use. Therefore, it is crucial to establish effective means to automate water suitability checking. In this investigation, the variables included are pH, hardness, solids, chloramines, sulphate, conductivity, organic carbon, trihalomethanes, and turbidity. These measurements serve as a feature vector to represent the state of the w

The study area is situated in the southwest of the governorate of Najaf, underwent a climatic analysis using data from Al-Najaf Meteorological Station spanning from 1980 to 2022. Findings reveal an annual rainfall of 134.2 mm, a relative humidity of 40.32%, an average temperature of 25.6°C, a wind speed of 1.52 m/sec, 8.45 hours of daily sunshine, and an evaporation rate of 5470.4 mm. Notably, The total amount of corrected evapotranspiration was 1038.75 mm. Water Surplus (WS) varies across months, with values of 6.59 mm (November), 30.11 mm (December), 11.93 mm (January), and 4.72 mm (February). The water surplus amounted to 53.35 mm, about 39.75% of the annual rainfall. This value represents the portion of rainfall that recharges groun

The use of credit cards for online purchases has significantly increased in recent years, but it has also led to an increase in fraudulent activities that cost businesses and consumers billions of dollars annually. Detecting fraudulent transactions is crucial for protecting customers and maintaining the financial system's integrity. However, the number of fraudulent transactions is less than legitimate transactions, which can result in a data imbalance that affects classification performance and bias in the model evaluation results. This paper focuses on processing imbalanced data by proposing a new weighted oversampling method, wADASMO, to generate minor-class data (i.e., fraudulent transactions). The proposed method is based o

The objective of this study is to elucidate the environmental significance and potential health implications of airborne microorganisms through their molecular characterization, thereby enhancing our comprehension of atmospheric health and its broader impact on human well-being. Amplification of the 16sRNA gene was carried out based on the multiplex polymerase reaction and used Sanger method determining the nucleotide sequence of DNA to determine the evolutionary relationships, as it is a clear and reliable diagnostic method instead of the traditional inaccurate methods. The study included five stations from Basra Governorate, Iraq, represented by the areas of Qurna, Shuaiba, Tanumah, Khor Al-Zubair and Old Basra, as it revealed The stud

The mixing problem is one of the most important problem in optimization strategies that falls within a wide range of applications, especially productivity ones, which makes it face many challenges. The problem is to determine how much of each item should be obtained and mixed with others so that the properties of the mixture fall within specified parameters and the total cost is minimized and the total profit is maximized. In this paper, we presented the problem modelling according to the linear optimization technique to obtain optimal results, which was implemented using the Python Pulp library. The proposed approach shows its effectiveness through advanced computational analysis in achieving compliance with the specified standards and

The most fundamental and crucial technique in face recognition is face matching. Although many different algorithms have been used in various types of research in the field of human face detection, the problem of face detection and recognition persists because it is difficult to achieve reliable face matching under a variety of shooting conditions such as lighting changes, face position differences, or viewing angle differences. In this research, two-dimensional Normalized cross-correlation NCC was used to match the image of suspects with the captured image. The designed recognition algorithm was implemented to recognize a target face in an image of several faces (a Group image). Several different cases were tested. In group image #1, wh

Fuzzy soft operator theory (FS-OT) is the connection between operator theory and fuzzy theory that has recently been raised and discussed, which has a central significant role in the evolution of functional analysis. In this sequel, a new general class of fuzzy soft operators on fuzzy soft Hilbert space (FS-H) are introduced, called fuzzy soft κ quasi-hyponormal operators. These operators are generalized fuzzy soft hyponormal operators. Then, a sufficiently equivalent major condition for these imposed operators called feature characterization is achieved. Besides, several interesting features of quasi-hyponormal operators are yielded along with other outcomes. Therefore, conditions concerning the achieving of those analytical features a

In this article, we will go over the basics of e*S–hollow modules, e*S–coessential submodules and e*S–coclosed submodules as a generalization of the concepts of hollow modules, coessential submodules and coclosed submodules, respectively. We shall demonstrate some characteristics of these ideas.

This paper discussed fear and predator-dependent refuges in a harvested prey-predator model with disease in predator with using the relationship between a predator's consumption of prey and the presence of fear in the prey in the existence of an infected predator in the environment. The solution was consistently limited in order to assure the availability of a solution due to the availability of conditions. The solution points for the system were also found, and the conditions for the approach of estimating the solution has been studied stability. We studied the bifurcation of the system and illustrate that it works. This research examined the effect of harvest factor on prey impact, as well as the combined influence of death in the unwe

The high rate of occurrence of heart disease these days needs immediate advancements implementation of predictive methodologies for early diagnosis with high precision to improve the disease treatment and reduce the mortality rate. This paper proposes an efficient prediction and alarming system that integrates the multi-model deep learning techniques, such as Radial Basis Function Neural Network (RBFNN), Support Vector Machines (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Backpropagation Neural Network (BPNN with the Artificial Intelligence of Medical Things (AIoMT) to enhance the ability of prediction of heart disease in the real-time environment. The proposed model offers a comprehensive solution that produces data-driven