Mustansiriyah journal of pure and applied sciences

Facial expression popularity has emerged as a critical factor of non-verbal conversation, notably impacting human interactions and social dynamics. With the advancement of computer imaginative and prescient and artificial intelligence, automatic facial features popularity has garnered widespread interest and reveals applications across diverse domain names. This paper proposes an approach to facial expression reputation that integrates Support Vector Machines (SVM) for facial function classification with Convolutional Neural Networks (CNN) for recognizing body posture and gestures. By combining these methods, the aim is to address limitations found in existing emotion recognition techniques, together with noise and inaccuracies. The utilization of the kernel trick within SVM lets in for effective processing of non-linear statistics, thereby improving the accuracy of facial features categorization. Furthermore, CNN's talent in extracting problematic styles from body language enhances facial analysis, ensuing in a complete emotion reputation gadget. The machine is implemented in Python, leveraging its rich libraries and frameworks tailored for device studying and photograph processing obligations.

Iron chloride (FeCl2+FeCl3) salt and Gardenia extract were combined using a sol-gel way to Create iron oxide nanoparticles (IONPs). The biomolecules in Gardenia extract, according to the study, can convert iron salts to IONPs. The technique modifies the phases, shape, size and purity of iron oxide NPs from FeCl2+FeCl3 to ε-Fe2O3. Methylene blue removal from water requires ε-Fe2O3 NPs in water treatment (MB). For the identification of IONPs, techniques such as XRD, Photoluminescence spectroscopy, ultraviolet microscopy, and scanning electron microscopy were all used. Results from XRD indicated that the average crystal size of 78.85 nm for ε-Fe2O3NPs synthesised using the Sol-gel technique. The diffraction results showed tetragonal peaks, and the crystal quality was outstanding. A range of particle sizes (9.04 to 54.65 nm) and an average grain size of 23.67 nm were used in the sol-gel process.1.94eV to 3.12eV, a shift in sol gel way's energy gap was seen in UV-VIS studies. The emission from the near band boundary of ε-Fe2O3 NPs by sol-gel method was around 2.74 eV, according to PL spectroscopy. Photocatalytic activity was demonstrated in this work, with The degradation of MB dye transpiring when there was average level of light exposure for the NPs. At 75 minutes for 3 mg and 150 minutes for 5 mg, the degrading efficiency of ε-Fe2O3 NPs reached 90.3 percent and 94 percent, respectively, with significant photocatalytic efficacy, according to the results of this study.

This article presents a theoretical study of the self-focusing process of a hollow Gaussian laser beam (HGLB) inside a plasma medium placed in a magnetic field perpendicular to the direction of the hollow Gaussian laser beam propagation. The self-focusing was studied using relativistic nonlinearity. Particular mathematical equations were derived that describe the nonlinear behavior of hollow Gaussian laser beam when they propagate inside the plasma, and they were solved. This behavior was simulated using the MATLAB program. This study dealt with the effect of Initial spot size of hollow Gaussian laser beam on the self-focusing process.

The concept of supra-open sets (Sup -o.Set) is presented and used to define the concepts of weakly supra –closed (weakly Sup-c.Set) , weakly supra –continuous(W Sup-Cont.), weakly supra –neighborhood(W Sup-neigh), and weakly supra –irresolute(W SupIrres). A few characterizations and features of these concepts are covered

The two parameters (????,????) and the reliability function of the Exponentiated Inverse Rayleigh distribution (EIRD) were estimated in this paper by using four estimation methods which are: Maximum Likelihood (MLE),White (W), Modified White (MW) and Linear Regression (REG) methods. Using simulation to generate the required data on three experiments(????1, ????2 ,????3) of the default value of the parameters, with different sample sizes (m=10,50,100) and repeated 1000 times. The results were compared by using the mean square error criterion, the result appears as follows: The Maximum Likelihood estimator is the best for estimating the exponentiated parameter with reliability in most of the experiments that were used and the Linear Regression estimator is the best in most of the experiments that were used to estimating the scale parameter.

The integro-differential equations can be solved effectively using a hybrid technique is shown in this article. Finding approximate solutions to both linear and nonlinear problems using this novel method 1is based on combining the Gupta transform and the homotopy perturbation method (GHPM). To evaluate the effectiveness and potency of the suggested approach, problems are tested. Additionally, Maple software incorporates the outcomes of the hybrid technique.

Samples including blood, urine, pus, skin and throat swab) were taken from 200 leukemia patients who attended to Hematology and transplantation center in the medical city complex. The bacterial isolates were identified by phenotypic examination, biochemical tests, as well as VITEK-2 assay. From 176 positive culture samples, 195 isolates of gram-positive and gram-negative categories, no significant correlation was observed between the type of bacteria and their sources gram-positive isolates were more prevalent than gram-negative, Staphylococcus epidermidis was the prevalent bacteria isolated from different sources samples of leukemia patients followed by Staphylococcus aureus and klebsiella and E.coli among gram-negative. In conclusion, the bacteria isolated in our study demonstrated significant resistance to commonly used antibiotics, with most classified as MDR and others as PDR. Interestingly, Synergistic effects were detected among certain antibiotics against bacteria isolated from various sources. Most isolates hadn't hemolytic activity and the rest showed beta hemolysis except Micrococcus luteus and Enterobacter cloacae showed alpha hemolysis. Most isolates from numerous bacterial groups showed strong and moderate biofilm production

In this paper, a Bayesian analysis made to estimate the reliability of a parallel redundant system with independent stress and strength of Inverse Chen distribution(ICD). The analysis is focused on gamma-primed left-censored samples under four distinct loss functions. (squared error, Quadratic, weighted and Linear exponential loss function). A Monte Carlo simulation was conducted to compare the estimates using the mean square error to obtain the best estimate. It was found that the best estimators can be under squared error loss function.

In this research, we presented the set G(X) which is the set for all fuzzy sets that are bounded functions, and we provided the definition of a cofuzzy metric, and we created some features the study of the two sets open and closed balls and also features fuzzy convergence and fuzzy closure set in the cofuzzy metric space

Embryos were excised from sterile mature seeds of Vigna sp. were cultivated upon MS medium that had vitamins as well as development promoters added. The outcomes demonstrated that the optimal 2,4-D concentration for callus formation was 2 mg/l. The callus was then subjected to various concentrations of a combination of salts consisting of NaCl, CaCl2, in addition to MgCl2 with a ratio of 2: 2: 1. (0, 50, 100, 150, 200, and 250) mM of salt mixture add to the culture medium. Various levels of di ethyl sulfate (DES) mutagenic solution at a concentration of (0.1) mM were used to soak the callus for a period of time (15, 30 or 45) minutes. Revealing callus to (DES) increased the weight, whether fresh and dry of callus compared to callus not treated with (DES). To produce genetic variations, callus was cultivated on MS media containing (0 - 250) mM after undergoing treatment for thirty minutes using (0.1) mM of (DES). The outcomes demonstrated that DES-exposed calluses had higher salt tolerance, which was appeared clearly by the increased fresh weight of callus, in contrast to untreated callus.

This study used two custom dielectric barrier discharge plasma (DBDP) systems designs to produce non thermal plasma and investigate its properties. The setup included two identical parallel copper electrodes with specific design dimensions (16cm length, 3 mm diameter) and two similar glass tubes (13 cm length, 5.5 mm outer diameter, and 5mm inner diameter) as a dielectric barrier. In the first design, only one of the copper electrodes was covered with a glass tube, while in the second, each one was covered with a glass tube. The optical emission spectroscopy (OES) technique was employed to analyze the produced plasma spectrum and then calculate the plasma parameters (electron temperature, electron density, frequency of electron, Debye length, and Debye number) at different conditions of Ac applied voltage (18 22 kV) and discharge gap distance is fixed (4 mm) for both designs. For all operating conditions, electron temperature was 4.177 4.273 eV, while electron density was 1.582×1018 1.942×1018 cm 3. The results reveal a novel and significant effect of electrode configurations on the properties of the produced plasma due to the distribution of the electric field in the discharge region, sparking new avenues for research in this field.

In our work, we are designing the new system which is 3D hyper-chaotic and subsequently examined the most critical characteristics of this proposed system with a dynamic behavior by using Mathematica software that performs numerical simulations of these dynamic behaviors. The findings indicated that the suggested system has three-dimensional with generates hyper-chaotic attractors, as it has two positive exponents of Lyapunov in (LE1= 1.14247, LE2= 0.01498) After applying the Lyapunov exponent equations, which makes it hyper-chaotic, and that it is unstable and possesses the butterfly effect, as its wave form is non-periodic and therefore has non-periodic properties and is dissipative. It has a Kaplan-York dimension as (2.07643). Also the new system is sensitive to any, even very slight, change in initial conditions, is unpredictable, and is complex, and thus possesses the basic dynamical properties of chaotic systems. Due to its high randomness and sensitivity to initial circumstances and conditions, we suggest using our new system in information security and building an encryption system.

The Exponential-Rayleigh (ERD) distribution has two scale parameters; these parameters were estimated under Progressive Censored samples and to create the suggested rank set. Sampling estimation technique adding the progressive censored sample for the rank set technique. The estimation of parameter values in the present study is based on the Newton-Raphson method. The Iraqi Ministry of Health and Environment's Al Karkh General Hospital provided the real COVID-19 data used in the current research. The investigation was carried out in 2020 during a period of 120 days, from May 4 to August 31. There were (n=785) patients admitted to the hospital, (n-m=697) patients who lived, and (m=88) patients who passed away. Following the determination of the (ERD) estimating parameter values for the rank set sampling estimation method, the survival function, hazard function, and probability density function were determined.

Moderately, advanced national election technologies have improved political systems. As electronic voting (e-voting) systems advance, security threats like impersonation, ballot tampering, and result manipulation increase. These challenges are addressed through a review covering biometric authentication, watermarking, and blockchain technologies, each of which plays a crucial role in improving the security of e-voting systems. More precisely, the biometric authentication is being examined due to its ability in identify the voters and reducing the risks of impersonation. The study also explores the blockchain technology to decentralize the elections, enhance the transparency and ensure the prevention of any unauthorized alteration or manipulation of the results. Additionally, the watermarking technology is examined for viewing the ability to store and transmit the voting result in secure manner though preserving the confidentiality ensure fair elections. this review contribution is the combination evaluating of biometric authentication, watermarking, and blockchain technologies effectiveness to develop robust e-voting framework. as a result, the key finding indicates a hybrid approach that integrates those technology offers a solution to address the security challenges.

Many diseases are driven by genetic variations. The Gene-Disease Association (GDA) dataset, structured as a network, evaluates the relationships between genes and diseases. Typically, the GDA dataset consists of semi-structured data, which does not conform to a tabular format. In this work, we propose a hybrid approach for processing, storing, and analyzing TBGA, a GDA dataset comprising over 200,000 JSON instances and 100,000 gene-disease pairs. We introduce two procedures to import the TBGA dataset into both a relational model and a graph model. SQL Server is employed for the relational model to support analytical and reporting tasks, while Neo4j is used for the graph model to enable visualization and the application of graph algorithms tailored for GDA analysis. Experimental results demonstrate the effectiveness of each model, with SQL Server excelling in analytical tasks and Neo4j in visualization and graph analysis..

In this paper we introduced new types of fuzzy nano open sets is said to fuzzy ζ- nano open set and studied some properties of fuzzy - nano generalized closed set in fuzzy nano symmetric topology also we studied some separation axioms is called (FN −????0S , FN −????12S, FN −????1S) and we studied the relationship between of them under the condition of fuzzy nano - symmetric topology and proof the converse relations which was studied for the first time, and obtained several important properties.