Kirkuk province needs a comprehensive and specialized strategy to address these difficulties and identify the most suitable solar energy solutions to reduce its ecological impact and improve its energy security and economic sustainability in future years. This study aims to present a framework for solar energy farm site selection working with Geographic Information System (GIS) and Multi-Criteria Decision Analysis (MCDA) techniques surrounding Kirkuk province, Iraq. Several spatial data sets were integrated in two steps to locate the best locations for solar energy farms. The first stage was to identify land availability with the elimination of constraints areas such as distance from major roads, distance from bodies of water, urban are

The Internet of Things (IoT) refers to a network comprised of interconnected items, including computing devices and digital gadgets. Cloud-based IoT infrastructures are vulnerable to distributed denial of service (DDoS) attacks. A DDoS attack has the potential to incapacitate a server for an extended duration, resulting in service disruptions as a consequence of overwhelming system resources. This research presents a novel framework for mitigating DDoS attacks in IoT networks. The proposed system leverages the fog-cloud architecture to provide efficient, lightweight, and precise attack mitigation. Notably, the mitigation process is executed at the fog layer. The suggested fog layer uses Particle Swarm Optimization (PSO) to make allocatin

Polycystic ovary syndrome (PCOS) comprises a multiplex hormone-based disorder that is typically accompanied by several complications, including irregularity of menses, excessiveness of hair growth in face and body, acne, obesity, diminished fertility, and higher probability of developing diabetes. Many hormones and enzymes may undergo changes in PCOS patients. This study involved 138 women who were separated into two groups: PCOS women (n=90) with an age range of (22-45) years, and apparently healthy women (n=48) representing the control group with age being matched to the patient group. All patients attended to Al-Kadhimiya Teaching Hospital, Department of Obstetrical and Gynecology and diagnosed by a consultant physician. Following per

 In this paper, we explore and introduce a novel study employing a new operator denoted as W_(ν,γ,δ,τ,n,r,d)^(η,s)  within the field of geometric function theory, particularly in the context of sandwich theorems. We derive results pertaining to differential subordination and superordination for this new formula operator. Additionally, we establish specific sandwich theorems.

Mathematics and the applied sciences both heavily rely on fixed point ( theory. Additionally, this theory has several applications in integral equations and differential equations to guarantee the solutions' existence and uniqueness.  theory relies mainly on the Banach contraction principle. Since this idea first appeared, it has gained a lot of attention and there has been a lot of development in this field. In this paper, the concept of generalized Kannan-type() mapping is presented in intuitionistic fuzzy metric space(IFM space), and the  theory is proven. The results contain extensions of  theory in IFM-space which include the Caccioppoli  theorem. Additionally, an  instance is provided to illustrate the practi

Noise reduction is a significant field that appears in many aspects of life. There are many methods for speech noise reduction, especially for stationary noise. This paper talks about a new way to lower speech noise that combines the Log-MMSE (Logarithmic Minimum Mean Square Error) algorithm, which is used to improve speech signals that have been messed up by noise, with an adaptive Wiener filter with a decision-directed (DD) approach. This filter lowers musical noise and predicts the time-varying noise spectrum, which results in a better signal-to-noise ratio. The frame delay issue resulting from DD was resolved by utilizing the Two-Step Noise Reduction (TSNR) technique to reconstruct the harmonic structure of the voice signal that was

Brain tumors pose a significant global health concern, imposing substantial social and economic burdens. Accurate classification of tumor types (gliomas, meningiomas, and pituitary tumors) from MRI data is essential for aiding radiologists and avoiding invasive biopsies. This paper presents a new method for brain tumor classification that has excellent accuracy when compared with existing methods. The proposed method provides improvements for feature extraction and classification. This new method comprises MRI image preprocessing, feature extraction, and image classification. Preprocessing includes resizing and data augmentation. Following this, features are extracted from MRI images using a mixed transform approach involving a mix of me

The deepfake videos were spread in the last few years and were created by different deepfake techniques (i.e., faceswap, face2face, etc.). These techniques have a terrible impact on society and would give anyone a chance to create videos with fake faces. The objective of this paper was to develop a model that detects deepfake videos to reduce their negative impact. Two hybrid models of machine learning and deep learning were proposed. The first model used a convolutional neural network (CNN) for feature extraction and different machine learning classifiers (support vector machine (SVM), k-nearest neighbor (KNN), decision tree (DT), random forest (RF), logistic regression, and naive bayes (NB)). In contrast, the second model used a transf

 Let A be a 2- torsion free prime Γ- ring, and L be a square closed Lie ideal of A i.e. xβx∈L for all x∈L and β∈Γ, suppose that  μ is an endomorphism of A, and  f  is a right μ- centralizer which is not the identity map on L, satisfying f([x, b]_γ )=〖∓[x,b]〗_γ ( or f(xδr)=∓xδr)  for all x,b∈L , γ∈Γ, then L⊆Z(A).

Media platforms have become essential for staying informed about events and activities around the globe. While there has been research on identifying news in English, detecting it in Arabic has been relatively overlooked. The unique linguistic characteristics and diverse slang expressions in Arabic have contributed to a scarcity of studies in this area. This research examines the effectiveness of deep learning algorithms in identifying fake news, specifically in the Arabic language. In this study, Global Vectors for Word Representation (GloVe) were used to capture the semantic relationships between words in order to improve the performance of the models. Furthermore, the utilization of Long Short-Term Memory (LSTM) and Bidirectional LSTM

The purpose  of this study is to present  a new concepts on a module M over a ring, these concepts is called R*-small sub module, R*-hollow module which present generalizations of the small submodule and hollow module, respectively. Key characteristics of these concepts such as the image and direct sum of R*-small sub module, R*-hollow module are R*-small submodule, R*-hollow submodule,  respectively.

Voice encryption is crucial to protecting data during transmission and storage due to the widespread problem of document fabrication and forgery. Various methods have been used to protect important data, including encryption. Voice data encryption is a way to encrypt important messages within transmissions. Therefore, it needs a strong and efficient encryption algorithm, using the standard encryption algorithm known as Rijndeal. This method is reliable, secure and efficient, because the Rijndael algorithm is characterized by its key lengths and blocks of different sizes. The Rijndael algorithm is a method of decrypting audio files, making it a powerful tool for protecting sensitive information. This paper presents a method for encoding W

The current work aims to study the effect of an inclined magnetohydro dynamics peristaltic transport of a non-Newtonian hyperbolic tangent fluid in a non-uniform channel via porous medium. The nonlinear governing equations regarding hyperbolic tangent fluid have been studied and solved analytically with the use of a regular perturbation approach under considerations of a long wavelength as well as low Reynolds number. All computational results are also discussed graphically using the MATHEMATICA program. The mathematical expressions for axial velocity and stream functions have been derived analytically. Different physical parameters have been shown graphically and discussed  it's effect. It is established that increasing the Hartmann nu

In this paper, we modify an SEIVR model concerning COVID-19 from the first-order system into a multi-fractional order system of differential equations. We also find an approximate solution by using the Sumudu Adomian decomposition method. Furthermore, we try to give qualitative results rather than qualitative results. Numerical simulation is given through a table and graphs which show the efficiency of the method.

Antibiotic resistance is a significant problem for which new treatments are required. There is growing concern about Fosfomycin resistance in Escherichia coli; understanding this resistance will help develop effective treatment strategies and preserve the efficacy of antibiotics. This study aimed to investigate the synergistic effects of Eugenol and Fosfomycin against Uropathogenic Escherichia coli (UPEC) and their possible potential as co-treatment. This study identified and isolated UPEC isolates from urine samples, with 63.6% being identified as UPEC. Antibiotic susceptibility tests showed that 99.3% of the UPEC isolates were resistant to multiple types of antibiotics [multidrug-resistant (MDR)]. The study examined t

Hyaluronidase is an enzyme that primarily breaks down hyaluronic acid, thereby disrupting the structural integrity of the extracellular matrix (ECM) found in connective tissues, which is considered a virulence factor. Peganum is a genus of plants in the family Nitrariaceae that contains a number of alkaloids, including harmaline and harmine, which have been used in traditional medicine. This study aimed to investigate the effect of a plant-active compound (peganin) isolated from a plant sample as an inhibitor of hyaluronidase. In total, 120 samples were randomly isolated from infected burns. Isolates with highly hydrolyzed zones were identified. The Turbidity Reduction Assay was used to assess cell growth and hyaluronidase activity spect

     Short-range effects on C2, C3, as well as C4 form factors in the ²⁶Mg nucleus, were examined. The charge density distribution in this nucleus was also tested by means of one and two body fragments of cluster enlargement in cooperation with single-particle wave functions of harmonic potential. The correlation of Jastrow form was employed to inset the influence of short-range into the two body fragment of cluster enlargement. The nucleus of ²⁶Mg was assumed to own a ¹⁶O-core with (A-16) nucleons dispersed over the sd-model space. The form factors in ²⁶Mg nucleus ascend from the core-polarization and model space involvements. The form of Tassie model, subject to the charge densit

     We define and investigate Z- essential submodules as a generalization of essential submodules. Various characterizations and properties of Z-essential submodules are given. Moreover we introduce the concepts of Z-singular submodule and Z-closed submodules.

     This work aimed to investigate the prevalence of pathogenic fungi and evaluate the antifungal activity of Trichoderma orientale FMR12486 crude extract against pathogenic fungi isolated from patients attending the National Center for Thoracic and Respiratory Diseases (having a history of tuberculosis) and consultant of Dermatology of Baghdad hospital, Iraq. A total of 80 clinical specimens were collected: 20 skin scrapings specimens and 60 sputum specimens. The results of direct examination by KOH 10% and culture showed that 11 (55%) cases from 20 skin specimens were positive for fungal infections, while in the sputum specimens, 28 (47%) cases from 60 were positive. Candida albicans represented the most common

     Increasingly, the availability of personal genomic data in cloud servers hosted by hospitals and research centers has incentivized researchers to turn to research that deals with analyzing genomic data. This is due to its importance in detecting diseases caused by genetic mutations, detecting genes that carry genetic diseases, and attempting to treat them in future generations.  Secure query execution on encrypted data is considered an active research area in which encryption is used to ensure the confidentiality of genomic data while restricting the ability to process such data without first decrypting it. To provide a secure framework and future insight into the potential contributions of homomorphic encryption to the field o

The COVID-19 pandemic has clasped the world by furore storm. India has been the epicenter of the surge in COVID cases since March 2021 which is being considered as the second wave. With every passing week, new guidelines were being implemented by various states as well as the central government to control the situation. Hospitals were running out of beds, oxygen, and medicinal supply with patients with comorbidities suffering the most. A handful of drugs have been approved for direct or emergency use to counter the situation. However, over time some of these drugs have faced strong backlash for being ineffective and hence are no longer in use. In this review, we shall study various vaccines that have been approved in India and abroad and

Identifying the mass graves’ boundaries is a significant step in mass graves’ preparatory procedures. A laboratory experiment was conducted to determine the effectiveness of ground penetrating radar in identifying mass graves and delineating their boundaries in sandy soil. A GSSI SIR-3000 GPR system with a 1.5 GHz antenna was used for the experiment. Eight GPR profiles were run over a 0.16m-deep wooden sandbox that contained buried bones to simulate the mass grave. All GPR profiles were processed using zero time, background removal, and filters to produce clearer, more accurate, and interpretable GPR data. This geophysical technique showed its assistance and effectiveness in locating the mass grave and tracking its delineation within

The approximate solution of a coupled nonlinear parabolic system with variable coefficients (CNPSVC) is found by using the mixing Galerkin finite element method (GFEM) in the variable of space with implicit finite difference method (IFDM) in the variable of time, for this reason, the method will be denoted by MGIM. In this method and at any step of time  the CNPSVC is transformed into couple Galerkin nonlinear algebraic system (CGNAS), which is solved by applying the predictor and the corrector techniques (PCT), these techniques transform the CGNAS into a coupled Galerkin linear algebraic system (CGLAS). Then the Cholesky decomposition (ChDe) is used to solve it. The existence and uniqueness of the solution are proven. The stability and

The study area is located in the northeastern part of Kirkuk Governorate, Iraq, and its goal is to assess the hydrochemical characteristics of groundwater, identify contamination levels and sources, and determine groundwater suitability for drinking. The water quality index (WQI) and heavy metals pollution index (HPI) were used to assess groundwater contamination levels of major elements and heavy metals. The results showed that all groundwater samples were alkaline and weakly mineralized water. The total dissolved solids in the groundwater were less than the maximum accepted limit for palatable water. Groundwater was classified as excellent to good water and does not exceed the critical drinking water value. Chemically, All indices indi

Let R be a commutative ring with identity, and let M be a left R-module. We define a proper sub-module N of an R-module M to be a weakly 2-quasi-prime sub-module if whenever 0≠r_1 r_2 m∈N, r_1 r_2∈R, m∈M, then either 〖r_1〗^2 m∈N  or  ∈〖r_2〗^2 m∈N. This concept is an expansion of the idea of a 2-quasi-prime sub-module, where a proper sub-module N of an R-module M is said to be a 2-quasi-prime sub-module if for all a,b∈R,  x∈M and abx∈N then either a^2 x∈N or〖 b〗^2 x∈N. Various properties of weakly 2-quasi-prime sub-modules are considered.

Evolutionary algorithms (EAs) provide a framework for dealing with a variety of large-scale multi-objective problems (MOPs) in the field of evolutionary algorithms, when applied to different problem types.  Although computational strategies for dealing with nonlinear regression problems are difficult to apply, we used the gravity search algorithm and combined it with these regressions to estimate and interpret the parameters. Estimation parameters for nonlinear regression and gravitational search algorithm (EPNGSA), enabling us to access them consistently. Estimating the nonlinear estimation parameter using general estimating equations. It is necessary to use Chebyshev's strategy in the leader recruitment procedure, which leads to tackl

In this study, we delve into the intricacies of the reaction-diffusion system associated with neuronal activities, focusing on open bounded three dimensions convex domain. Employing the renowned Faedo-Galerkin method, alongside compactness techniques, we establish the uniqueness, existence, and initial data sensitivity of both weak and strong solutions within this framework. Furthermore, a comprehensive case analysis is presented, demonstrating the practical application of this methodology to the reaction-diffusion system under consideration.

Fusarium oxysporum f. sp. lycopersici is the causal agent of tomato wilt disease. The ability to infect particular plant species depends on specific genes that distinguish virulent fungi from their closely related nonvirulent relatives. These genes encode host-determining "virulence factors," including small, secreted proteins and enzymes involved in the synthesis of toxins. This research aims to study the impact of Trichoderma harazanium extract on the expression of frp1, snf1, and clc1 genes expression on five severely pathogenic isolates of Fusarium oxysporum f.sp. lycopersci for the first time in Iraq. The fungal isolates used in this study were isolated from infected tom

Data security and its characteristics are considered one of the most important requirements of the modern era, as this generation is in rapid digital development. Therefore, it needs an effective methodology for a strong and effective encryption algorithm, by incorporating the standard encryption algorithm known as Rijndael. And steganography. The goal of this study is to transfer and store audio data with complete confidentiality and security. This study converts audio data into a 256  bit audio sample that we use for the purpose of encryption using the Rijndael algorithm, as this algorithm is known for its strength and for winning many awards. The principle of this algorithm’s work is to create multiple blocks of different block siz

The environmental difficulties faced by Iraqi society, particularly in the countryside, worsen over time due to a lack of interest in environmental duties caused by a lack of awareness of the environmental risk. At a time when oil companies sought Iraqi government approval to invest in and develop Iraqi oil fields, particularly in the south of Iraq, heavy metals emerged as one of the most visible pollutants associated with the oil industry as by-products of oil extraction operations. Therefore, the environment is exposed to gradual demolitions that directly affect biodiversity and deteriorate water quality in the region. Consequently, it became necessary to find environmentally friendly treatment methods from the elements of the environm