Despite the widespread use of zinc oxide nanoparticles (ZnO NPs) in various fields, there have been a growing number of reports regarding their toxicity. However, there is insufficient research available regarding the insecticidal effects of ZnO nanoparticles. Using leaves of the river oak tree (Casuarina cunninghamiana Miq., 1848), this study aimed to produce ZnO NPs utilizing a simple and eco-friendly biological process to evaluate the toxic effects of zinc oxide nanoparticles on the mealworm (Tenebrio molitor Fabricius, 1792), the superworm (Zophobas atratus Fabricius, 1775) and the red flour beetle (Tribolium castaneum Herbst, 1797). The produced zinc oxide nanoparticles were characterized

This study introduces a novel topological space named the nano Ɽ-space, which is based on the principles of nano topological spaces. Thus, the reconstruction of this space and their properties are demonstrated and explored, accompanied by illustrative examples to aid in understanding its nature. Furthermore, the investigation of the practical implications of the nano Ɽ-space through a series of case studies involving pediatric patients diagnosed with leukemia. Then, by examining the symptoms exhibited by these patients and their impact on the equivalence relations within the nano Ɽ-space, the elucidate the applied aspect of this novel topological framework. the findings indicate that the presence of unexplained bruises on the body

In order to produce cold plasma at atmospheric pressure, a multi-channel RF, of (1, 2, 3, and 4 MHz) frequencies, plasma jet system is developed using argon as the working gas. This system consists of two parts, a multi-channel power supply (of a power of 100 W) and a plasma jet. A strong electric field is created that ionizes and excites argon ions. The I-V characteristics of the system and the electron temperature and density for different powers (20, 50, 70, and 80 W), gas flow rates (10, 20, 30, and 40 sccm) (standard centimeter cubic per minute) at different frequencies (1, 2, 3, and 4 MHz) are studied, using the optical emission spectroscopy method. This system can be used in medical applications and material treatment with high ef

Let ꭆ be a 2-torsion-free prime ring, U  be non-zero square closed Lie ideal of ꭆ, α and β  be automorphisms of ꭆ.A mapping Ϝ:ꭆ→ꭆ is called a multiplicative (generalized) (α,β)-reverse derivation if Ϝ(ab)=Ϝ(b)α(a)+β(b)d(a)  for all  a,b∈ꭆ where d: ꭆ → ꭆ is any map . The purpose of this paper, is to give some important results of multiplicative (generalized) (α,β)-reverse derivation on square closed Lie ideals Ϝ  that satisfying any one of the properties: (i) Ϝ(uv)±α(uv)=0, (ii) Ϝ(uv)±α(vu)=0,  (iii) Ϝ(u)Ϝ(v)±α(uv)=0, (iv) Ϝ(u)Ϝ(v)±α(vu)=0, (v) Ϝ(uv)=Ϝ(u)Ϝ(v), (vi) Ϝ(uv)=Ϝ(v)Ϝ(u)  and (vii) Ϝ[u,v]=0  for all u,v∈U.

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

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

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

The investigate of the dynamic behavior of viral hepatitis to stop the illness from spreading have been studied in this paper. A novel stochastic mathematical model was created in order to conduct the study. We prove this proposed model has a positive unique solution. By looking up the basic reproduction number, we also demonstrated the requirements that must be fulfilled for the injured person to heal. If   it means that the liver will get rid of the virus and heal the infected person. While if  , the infection grows and the disease can invade all liver cells. Computer simulations have also been used to illustrate these findings.

Hypertension is the primary cause of cardiovascular disease and early mortality globally, it is a complex feature Determined by many factors endogenous mechanisms, genetic factors, physiological systems and environmental exposures variances. In recent years, there has been growing scientific interest and research focused on the immunological aspects of antihypertensive medications. Among these, Candesartan has emerged as a prominent subject of study. It has been demonstrated to reduce the inflammatory reactions associated with hypertension. The present study was conducted at Imam Hussein Teaching Hospital in the holy city of Karbala from December 20, 2022 to May 22, 2023. There were three distinct groups in the study which are (G1) healt

 The aim of this research is to create thin films of GO:TiO₂ by the spray pyrolysis method. Hummer’s method was utilized to prepare graphene oxide (GO). Different GO concentrations of (1, 2, 3, and 4) % were used, while a TiO₂ concentration was maintained at 4% to form films having various volume ratios of (1:4, 2:4, 3:4, and 4:4), which were then coated on FTO substrate at 400°C and later dipped into the pigment solution of anthocyanin (AD) obtained from red cabbage plant. Thin films’ composition, structure, morphology and optical properties were studied through energy dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), Fourier transform infrared (FTIR) microscopy, field emission scanning electron m

Toll-like receptors trigger both innate and adaptive immune responses against viral infections by inducing the release of inflammatory cytokines and antiviral mediators. This study aims to examine the role of TLR8 and genetic variants thereof in the progression and recovery of COVID-19 disease. It was conducted on 90 patients, (including 45 severe-critical cases, 45 mild-moderate cases),50 recovered cases, and 89 healthy people using quantitative real-time and allele-specific PCR for gene expression and gene polymorphisms determination, respectively. TLR8 gene expression did not show a significant difference among the study groups, while its median level showed statistically significant differences with respect to disease severi

The current study aimed to evaluate the impact of hepcidin levels on the diagnosis and management of T2DM patients and to investigate the association between their levels and insulin resistance. The study included 100 T2DM patients, which are divided into three groups according to disease duration: D1 (n=38; < 5 years), D2 (n=37; 5-10 years), D3 (n=25; >10 years), and 50 healthy persons as control (C). Fasting blood glucose (FBG) was determined by glucose oxidase-peroxidase and glycated haemoglobin A1c (HbA1c) by immunoturbidimetric assays. Serum insulin and hepcidin were evaluated using ELISA. Also, HOMA-IR and HOMA-β were calculated from FBG and insulin. The FBG, HbA1c, insulin, and HOMA-IR levels increased significantly, while