The earth's surface comprises different kinds of land cover, water resources, and soil, which create environmental factors for varied animals, plants, and humans. Knowing the significant effects of land cover is crucial for long-term development, climate change modeling, and preserving ecosystems. In this research, the Google Earth Engine platform and freely available Landsat imagery were used to investigate the impact of the expansion and degradation in urbanized areas, watersheds, and vegetative cover on the land surface temperature in Baghdad from 2004 to 2021. Land cover indices such as the Normalized Difference Vegetation Index, Normalized Difference Water Index, and Normalized Difference Built-up Index (NDVI, NDWI, and NDB

     Klebsiella pneumoniae is among the most frequent microorganisms isolated from infections of burn wounds. This cross-sectional study aimed to investigate the distribution of multi-drug resistant (MDR) K. pneumoniae in two burn hospitals and the antibiotic resistance profile in different burn regions of the same patient. It was performed in two hospitals (Al-Zahraa and Al-Karama) in Al-Kut, Iraq, between January and May 2022. Totally, 100 burn swabs were collected from 40 patients of both genders suffering from burn wound infections, with ages ranging between 3 and 50 years. Klebsiella pneumoniae were isolated and identified using conventional methods followed by VITEK^®2 system and confirmed

     Diabetes mellitus (DM), a chronic, clinically heterogeneous condition, is becoming increasingly common all over the world. Insulin deficiency, resistance to insulin's actions on the body's surface, or both may lead to pancreatic beta-cell degeneration. Diabetes makes people more prone to its consequences, the most prevalent of which is diabetic retinopathy (DR). Deep learning algorithms surpass traditional classification models for illness diagnosis on photos of medical problems. Deep transfer learning models for medical DR detection were evaluated using the APTOS 2019 dataset. Deep transfer learning algorithms for medical diabetic retinopathy (DR) detection are being evaluated. MobileNet Convolutional Neural Networks (CNN) arch

This research is concerned with the set of functions in ordered Banach algebra values that links up between functional analysis and measure theory. We generalized the concept of integration by using the measure space  and the measurable function  where  is an ordered Banach algebra by using the integration of a simple measurable function with values ​​in an ordered Banach algebra space (represented by an indicator function that has values ​​in an ordered Banach algebra) and the integral of a non-negative measurable function that has values ​​in an ordered Banach algebra. The aim of this research is to define the integration of functions by using the measure  in the ordered Banach algebra space. This study generalized the

     Diabetes is associated with endothelial dysfunction, which impairs blood vesselscapacity to maintain vascular tone. Apelin is an adipocyte-produced relaxing factor that has endothelium-dependent and nitric oxide (NO)-mediated vasorelaxant effects. The current study investigated how streptozotocin (STZ)-induced type one diabetes modulates the mechanisms involved in aortic vascular response to apelin, focusing on the role of potassium channels and endothelial derived relaxing factors (EDRF). In this study, precontracted rat thoracic aortic segments were pre-incubated with the NO inhibitor, cyclooxygenase (COX) inhibitor and potassium channels blockers including: non-selective calcium-activated potassium channel, big conductance ca

The consumption of synthetic, non-biodegradable polymer plastics has drawn attention to growing environmental concerns, prompting the development of other materials, particularly bio-based materials. Biopolymer-based biocomposite materials are plasticized to improve their ductility. In this study, five distinct weight ratios of biopolymers (PA/EOO), 90 wt.%, 80 wt.%, 70 wt.%, 60 wt.%, and 50 wt.% were employed as plasticizers for poly-lactic acid (PA) in a fluid molding process. The mechanical, thermal stability, and morphological characteristics of the blends were each examined using a viscometer measurement (R.V.), tensile properties (TP), a scanning electron microscope (SEM), and a thermogravimetric analyzer (TGA). All composite mater

     Negation is a linguistic phenomenon that can cause sentences to have their meanings reversed. It frequently inverts affirmative sentences into negative ones, affecting the polarity; therefore, the sentiment of the text also changes accordingly. Negation can be expressed differently, making it somewhat challenging to detect. As a result, detecting negation is critical for Sentiment Analysis (SA) system development and improvement and will increase classifier accuracy, but it also poses a significant conceptual and technical challenge. This paper aims to survey and gather the most recent research related to detecting negation in SA. Many researchers have worked and performed methods, including algorithmic, machine, and deep learni

     In the past years, there was an attempt to add one column to the e-abacus diagram, then another work followed by other researchers by adding several columns to the same diagram. At that time, a question remained, is it possible to add a row and later several rows on the same diagram? Or is this not an easy thing except under certain conditions? In this research, we will know when we can take these steps.

     In this paper, a solution to one of the Bicriteria Machine Scheduling Problems (BCMSP) is proposed. This problem focuses on the maximum early jobs time and range of lateness jobs time on a single machine (1//(E_max,R_L )). First, we derive a subproblem 1//(E_max+R_L )  from the main problem which is a special case for the suggested problem. Secondly, both exact complete enumeration and Branch and Bound (BAB) with two new lower bounds with some heuristic methods to solve the problems are proposed. The results prove the accuracy of BAB to solve the problem for n≤110 jobs in a reasonable time. In addition, the accuracy of the suggested heuristic methods is compared with the results of the exact methods.

The analysis of observed data at different time points is prominent to single problems when the scientist studied random sampling data over time restricts the applicability of many traditional statistical methods that require random sampling. The analysis of this data is usually mentioned to the stochastic process, in a special case, if it relates to time, then it is called time series [1].  The aim of our study is to focus on the case of observations that are made at certain times of the year, specifically in the autumn season, in equal periods of time, and we estimate the effect of interference on wheat prices n order to obtain the best predictive model and the best order of this model for the overall effect on the price of wheat for

     The deposition process and investigation of the physical properties of tungsten trioxide (WO₃) thin films before and after gamma irradiation are presented in this paper. The WO₃ thin films were deposited, using the pulse laser deposition technique, on glass substrates at laser energies of 600mJ and 800mJ. After deposition, the samples were gamma irradiated with Co⁶⁰. The structural and optical properties of polycrystalline WO₃ thin films are presented and discussed before and after 5kGy gamma irradiation at the two laser energies. X-ray diffraction spectra revealed that all the films consisted of WO₃ crystallized in the triclinic form; the dislocation density and

     In Parallel programming, a programmer needs to understand hardware environment, programming paradigm and primitives available in the programming language. Most of the time, parallel programmes are written for a specific architecture and cannot typically adapt to other architectures Particularly, programs written for shared memory architectures are unsuitable for distributed or hybrid architectures. This paper proposes Adaptive Design Pattern for Parallel Programming to improve adaptability, flexibility with achieving performance on different architectures.

Molecular Dynamics (MD) simulation is required to scale to various architectures from simple machine to cluster of workstations. In this study, MD Simulation experiment

     Object detection algorithms play an important role in detecting people in surveillance videos. In recent years, with the rapid development of deep learning, the performance of object detection has improved by leaps and bounds, and the scheme of object detection by the YOLOV7 algorithm has also been born. Traditional object detection methods often fail to achieve a balance between speed and accuracy. To address these issues, in this research, an improved YOLOv7 algorithm performance is proposed to get the best speed-to-accuracy balance compared to state-of-the-art object detection within recorded videos using an effective compression method. This method calculates the difference between frames of video, and by using the

     The present work aims to detect the effects of gamma ray radiation emitted from Co-60 on several blood parameters (PCV, Hb, WBCs and  RBCs) of male chickens. Also, the potential antioxidant impact of grape seeds oil exposed to cold plasma  as a protective material to lower the damage caused by gamma ray was tested for a long time and low dose rate. Healthy male chickens were used in this study which had an age range of 2 to 3 months and  a weight range of 1.5 to 2 kg. Animals were kept in plastic cages (100 x 400  x 40 cm dimensions) within  humidity and temperature preserved at limited values. Four experimental groups were included; the first was the un-exposed control. The second group was administered with a dose of grap

Concentration of natural occurring radioactive material (NORM) in Markazia Degasing Station in North Rumaila oilfield (NDS) was measured in this study. Then, radiological assessment due to existing of NORM in different samples including soil, sludge, scale, oil, and water collected from different stages of oil and gas production NDS was done. Radioactivity concentration of Ra-226, Th-232 and K-40 were measured using gamma spectrometry system based on HPGe detector with efficiency of 30%. The results show that some locations within NDS are contaminated with NORM. The activity in Bq/kg of Ra-226, Th-232 and K-40 range between 15.19 in oil to 68.73 in sludge, 8.5 in oil to 23.45 in sludge and 80.23 in oil to 319.73 in saline water samples r

In this paper, the series solutions of a non-linear delay integral equations are considered by a modified approach of homotopy analysis method (MAHAM). We split the function   into infinite sums. The outcomes of the illustrated examples are included to confirm the accuracy and efficiency of the MAHAM. The exact solution can be obtained using special values of the convergence parameter.

In the present work, the effect of isolated dust particles (FeO) with radius of the grain 0.1μm - 0.5μm of main plasma characteristics are investigated experimentally in direct current system by using magnetic field. The present of dust particle in the air plasma did effect on Paschen minimum and on the plasma properties in low pressure region. The effect of dust particles on discharge voltage, discharge current, plasma potential, floating potential, electron density, electron temperature and Debye length was investigation by using magnetic field. The measurements of parameters are taken by four cylindrical Langmuir probes. The results show the present of dust causes decreasing in discharge voltage with increase pressure while the disc

In the last years, the research of extraction the movable object from video sequence in application of computer vision become wide spread and well-known . in this paper the extraction of background model by using parallel computing is done by two steps : the first one using non-linear buffer to extraction frame from video sequence depending on the number of frame whether it is even or odd . the goal of this step is obtaining initial background when over half of training sequence contains foreground object . in the second step , The execution time of the traditional K-mean has been improved to obtain initial background through perform the k-mean by using parallel computing where the time has been minimized to 50% of the conventional time

Kidney tumors are of different types having different characteristics and also remain challenging in the field of biomedicine. It becomes very important to detect the tumor and classify it at the early stage so that appropriate treatment can be planned. The main objective of this research is to use the Computer-Aided Diagnosis (CAD) algorithms to help the early detection of kidney tumors. In this paper, tried to implement an automated segmentation methods of gray level CT images is used to provide information such as anatomical structure and identifying the Region of Interest (ROI) i.e. locate tumor, lesion and other in kidney.
A CT image has inhomogeneity, noise which affects the continuity and accuracy of the images segmentation. In

Fusion can be described as the process of integrating information resulting from the collection of two or more images from different sources to form a single integrated image. This image will be more productive, informative, descriptive and qualitative as compared to original input images or individual images. Fusion technology in medical images is useful for the purpose of diagnosing disease and robot surgery for physicians. This paper describes different techniques for the fusion of medical images and their quality studies based on quantitative statistical analysis by studying the statistical characteristics of the image targets in the region of the edges and studying the differences between the classes in the image and the calculation

During 2011, 1900 clinical specimens and 240 hospital environment specimens were collected from four hospitals in Baghdad. 128 isolates of Acinetobacter baumannii were obtained from clinical and environmental specimens in a percentage of 6.05% and 5.42%, respectively. The highest percentage of isolation, 83.62% was of sputum specimens and lower percentage of burns specimens 5.22%. The lowest incidence was of age range (71-80) years old group whereas the highest incidence was of age range (31-40) years old group. Also we found that the incidence was higher in males (66.96%) than that of females (33.04%) and the frequency of positive A. baumannii isolates was higher in intensive care units (ICUs). Results revealed eleven different resistot

In this paper we introduce and study the concepts of semisimple gamma modules , regular gamma modules and fully idempotent gamma modules as a generalization of semisimple ring. An module is called fully idempotent (semisimple , regular) if for all submodule of (every submodule is a direct summand, for each , there exists and such that . We study some properties and relationships between them.

Cutaneous leishmaniasis (CL) is the most form of leishmaniasis disease prevalent in Iraq. CL remains a public health problem in numerous endemic countries because of the absence of safe, effective, and high-cost drugs for treatment. Macrophages are the main inhabitant cell for Leishmania; they phagocyte and allow parasite multiplying. Phagocytosis and anti-leishmanial activity of macrophage are the main factors in the elimination of Leishmania parasites. Phagosome-resident amastigotes also evade innate host defense mechanisms. Silver nanoparticles (Ag NPs) have an important effect in stimulating the production of oxygen species. The objective of this study was to examine macrophages cytotoxicity upon exposure to L. tropica and Ag NPs. Se

Demodex spp. mites are external obligate parasites; they are transmitted between hosts through direct contact, and may induce several dermatological symptoms when found in large numbers. However, these symptoms may be similar to other commonly known diseases; this often leads dermatologists to neglect the pathogenic role of these mites. Therefore, a better diagnosis is recommended in order to avoid mistreatment. The aim of this study was to investigate the correlation between Demodex mites and dermatological diseases. Infestation rates in patients suffering from acne, rosacea, folliculitis, and psoriasis were compared with asymptomatic patients, along with the mites’ relation to gender, age, personal hygiene, tim

Let M be a n-dimensional manifold. A C1- map f : M  M is called transversal if for all m N the graph of fm intersect transversally the diagonal of MM at each point (x,x) such that x is fixed point of fm. We study the minimal set of periods of f(M per (f)), where M has the same homology of the complex projective space and the real projective space. For maps of degree one we study the more general case of (M per (f)) for the class of continuous self-maps, where M has the same homology of the n-dimensional sphere.

     For hydrochemical assessment of water resources at Baquba City, Diyala Governorate, four surface water samples were collected from the Diyala River and eight groundwater samples inside the city of Baquba. The samples were collected in the two periods, the dry period in October 2018 and the wet period in February 2019. The pH, EC, TH, turbidity, the major ions and trace elements (Fe, Cu, Co, Cd, Pb, Zn and Ni) were investigated. The results showed that the surface and groundwater are turbid, very hard and slightly brackish to moderately saltine in the groundwater, while it is hard to very hard and fresh in surface water. Heavy element analyzes revealed contamination of surface water samples and groundwater with the elements Cadmi

In this study, a new series of 1,2,4-triazine and 1,2-diazine derivatives was prepared in four and three steps, respectively. In the preparation of 1,2,4-triazine derivatives. The first step included a reaction between 2-phenyl-3-aminoquinazoline-4-(3H)-one and chloroacetyl chloride in the presence of Et3N as a base to produce (1) in 83% yield. Compound (1) was then reacted in the second step with hydrazine hydrate to yield the corresponding hydrazide (2) in 80% yield. The third step of our work included a reaction of compound (2) with different compounds: α-Naphthan isocyanate to give compound (3) (90% yield); phenyl isocyanate to afford compound (4) (80% yield); phenyl isothiocyanate to yield compound (5) (85% yield); and CS2 in basic

Face recognition is a type of biometric software application that can identify a specific
individual in a digital image by analyzing and comparing patterns. It is the process of
identifying an individual using their facial features and expressions.
In this paper we proposed a face recognition system using Stationary Wavelet Transform
(SWT) with Neural Network, the SWT are applied into five levels for feature facial
extraction with probabilistic Neural Network (PNN) , the system produced good results
and then we improved the system by using two manner in Neural Network (PNN) and
Support Vector Machine(SVM) so we find that the system performance is more better
after using SVM where the result shows the performance o

Tuning a PID controller is a crucial task in control engineering to achieve optimal performance of the system. However, manual tuning of PID parameters can be inaccurate and difficult without extensive experience. One approach to tuning the PID controller is by utilizing heuristic algorithms. These algorithms are based on natural phenomena and can efficiently search for the optimal set of PID parameters. Therefore, utilizing met heuristic algorithms for tuning PID controllers can significantly improve the system's performance and reduce costs associated with manual tuning. In this paper, a new method for tuning parameters of the PID controller of DC motors using a hybrid adaptive PID_GTO predictive model based on the artificial gorilla t

Accurately predicting customer churn is considered crucial by businesses in order to take proactive measures to retain their customers and avoid financial losses. In this paper, a customer churn prediction model is proposed that incorporates deep neural networks and imbalanced data techniques. The approach involves applying oversampling and undersampling methods to address class imbalances in the dataset. The model's performance is evaluated using various evaluation metrics and compared to other methods. The results demonstrate that superior performance in predicting customer churn is achieved by the proposed model compared to traditional statistical methods and deep neural networks without imbalanced data techniques. Important implicati