The Ground Penetrating Radar (GPR) is frequently used in pavement engineering
for road pavement inspection. The main objective of this work is to validate
nondestructive, quick and powerful measurements using GPR for assessment of subgrade
and asphalt /concrete conditions. In the present study, two different antennas
(250, 500 MHz) were used. The case studies are presented was carried in University
of Baghdad over about 100m of paved road. After data acquisition and radar grams
collection, they have been processed using RadExplorer V1.4 software
implementing different filters with the most effective ones (time zero adjustment and
DC removal) in addition to other interpretation tool parameters.
The interpretatio

This study was done to compare among 120 new and used cosmetic brands to determine the heavy metals concentrations (Cadmium, Chromium) in (face foundation, powder and blushers). Sixty new cosmetic products were bought from local markets in Baghdad city (twenty different brands foe each cosmetic products), while sixty used cosmetic products were collected from Iraqi women and they had been stored for a long time. This study proved that not all analyzed cosmetic products containing heavy metals concentrations and all concentrations are under Iraqi acceptable limits except one new blusher product which contained chromium with (28 ppm), but all used cosmetic products have shown better results in concentrations of heavy metals than new produc

Mango fruit is one of the most nutritionally rich fruits with unique flavor, this fruit belonged to family of Anacardiaceae and it is an excellent source of vitamins specially vitamin A, carotene pigments and potassium. In this study the antimicrobial activity of mango seeds extract has been investigated against gram positive bacteria (Staphylococcus aureus and Bacillus spp.) and gram negative bacteria (Pseudomonas aeruginosa and E. coli) and yeast Candida albicans by well diffusion method in nutrient agar and the results were expressed as the diameter of bacterial inhibition zones surrounding the wells, and the antibiofilm of its extracts was observed against Staphylococcus aureus. The seeds extractions prepared by two solvents: 85% eth

     Deep learning (DL) plays a significant role in several tasks, especially classification and prediction. Classification tasks can be efficiently achieved via convolutional neural networks (CNN) with a huge dataset, while recurrent neural networks (RNN) can perform prediction tasks due to their ability to remember time series data. In this paper, three models have been proposed to certify the evaluation track for classification and prediction tasks associated with four datasets (two for each task). These models are CNN and RNN, which include two models (Long Short Term Memory (LSTM)) and GRU (Gated Recurrent Unit). Each model is employed to work consequently over the two mentioned tasks to draw a road map of deep learning models f

     By definition, the detection of protein complexes that form protein-protein interaction networks (PPINs) is an NP-hard problem. Evolutionary algorithms (EAs), as global search methods, are proven in the literature to be more successful than greedy methods in detecting protein complexes. However, the design of most of these EA-based approaches relies on the topological information of the proteins in the PPIN. Biological information, as a key resource for molecular profiles, on the other hand, acquired a little interest in the design of the components in these EA-based methods. The main aim of this paper is to redesign two operators in the EA based on the functional domain rather than the graph topological domain. The perturbation

     Antibiotics treat bacterial infections, whereas antiviral drugs treat viral illnesses. Antivirals are used to treat a variety of infectious diseases, including COVID-19 and influenza. The technique of reversed-phase high-performance liquid chromatography (RP-HPLC) provides more sensitivity and precision than other approaches, particularly spectrophotometric. This research seeks to develop a simple method for simultaneously quantifying acyclovir, amantadine, and oseltamivir in creams and capsules. The RP-HPLC method optimization and development for verifying the separation and quantification of three antiviral drugs included the investigation of the optimal buffer concentration, pH value, and acetonitrile content. On a C8 HyperC

     Nanotechnology products such as titanium dioxide nanoparticles (TiO₂-NPs) can be used for viral infections because of their unique characteristics. The current study aimed to determine the impact of TiO₂-NPs on HPV type 1 and 2 infections. The characterization of these NPs was performed using dynamic light scattering (DLS), field emission scanning electron microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM), and X-ray diffraction (XRD). The MTT assay was used to determine the toxic impacts of TiO₂-NPs on BHK-21 cells. The efficiency of TiO₂-NPs was performed using several parameters, including TCID50 and RT-PCR assays. An indirect immunofluorescence assay (IFA)

     One of the quasi-Newton update formulae, namely the Davidon-Fletcher-Powell method, is crucial for resolving nonlinear programming optimization problems. In order to achieve a Newton-like condition that depends on the function values and gradient vectors at each iteration, we construct an alternative positive-definite Hessian approximation in this study. The essential theorems are established to study algorithm convergence. The proposed approach is then tested on well-known test problems and then compared to the standard DFP method. The numerical outcomes demonstrate the effectiveness of the newly developed method.

     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

     This article aims to determine the time-dependent heat coefficient together with the temperature solution for a type of semi-linear time-fractional inverse source problem by applying a method based on the finite difference scheme and Tikhonov regularization. An unconditionally stable implicit finite difference scheme is used as a direct (forward) solver. While by the MATLAB routine lsqnonlin from the optimization toolbox, the inverse problem is reformulated as nonlinear least square minimization and solved efficiently. Since the problem is generally incorrect or ill-posed that means any error inclusion in the input data will produce a large error in the output data. Therefore, the Tikhonov regularization technique is ap

     Mala GX (Ground Explorer) conducted the survey using two different antennas: 450 MHz and 750 MHz. Data for the 450 MHz antenna were collected in a grid, while data for the 750 MHz antenna were collected in parallel profiles at the same location above the 450 MHz profiles. After processing the data using GPR slice software, possible reflections of archaeological walls buried at different depths and with different extensions of 13 m, 7 m, 6 m, 5m, 3 and 2 m were identified. The reflections were clear and high in the 450 MHz antenna with a depth penetration of 3 meters and unclear and weak in the 750 MHz antenna with a depth penetration of 1 meter. When comparing the two antennas, it is possible to notice a match in the reflection

     Shigella infection strains producing shiga toxin results in bloody diarrheais a dangerous symptom in children under five years of age that can even lead to death. Therefore, this study was conducted to isolate Shigella strains producing shiga toxin from 150 samples which were taken from bloody stool of children under the five years of age. They were suffering from the diarrhea during the period from March 2021 to March 2022 in Tikrit city, Iraq. The results showed the possibility to isolate six isolates of Shigella sonnei at ratio 4% of the total samples. The isolates producing shiga toxin were identified by using stx1 gene. The results showed two isolates of Shigella possessing s

     In this article, the effects of physical flow parameters on squeezed fluid between parallel plates are explored through the Darcy porous channel when fluid is moving as a result of the upper plate being squeezed towards the stretchable lower plate, such as velocity slip, thermal slip, solutal slip, thermal stratification parameter, solutal stratification parameter, squeezing number, Darcy number, Prandtl number, and Schmidt number. The governing equations are transformed into a nonlinear ordinary differential equation using the appropriate similarity transformations. The resulting equations are solved by using the perturbation iteration method (PIT) to produce a convergent analytical solution with high accuracy. The phenomena of

     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

     Globally, breast cancer is the common malignancy affecting women and understanding its associated molecular events could help in disease prevention and management strategies. The present study was set to investigate an association between total antioxidant capacity (TAC) and endothelial nitric oxide synthase (eNOS) polymorphisms with breast cancer. For this purpose, 100 subjects were participated in this work, including 50 female patients diagnosed with breast cancer recruited from Oncology hospital, Baghdad - Iraq and 50 healthy women as a control group. The concentration of antioxidants was measured in the serums collected from blood samples of breast cancer patients and healthy controls. While eNOS SNPs (rs1

     It is necessary to follow new strategies for the isolation of bacteria with unique characteristics from novel sources during the search for new antimicrobial compounds. Geobacillus thermoleovorans strain Ir1 (JQ912239), a novel thermophilic bacterium, which was isolated from soil in Iraq (Basrah and Baghdad)    showed a good ability to utilize hydrocarbon compounds. This study objective was to demonstrate G. thermoleovorans Ir1 potential antibacterial capabilities. The ability of the spore-forming bacterium G. thermoleovorans Ir1 to produce antimicrobial bioactive compounds that affects two pathogenic bacteria Pseudomonas aeruginosa and Staphylococcus aureus was investigat

     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

     The current study included interpretations of the three-dimensional seismic Data for the Nasiriya oil field implemented by the Oil exploration company in 2010 with a planned surface coverage area of 1273 km². The Nasiriyah field is located in southern Iraq within the Dhi Qar Governorate, about (10) km northwest of the governorate center (Nasiriyah), and the Muthanna governorate is located in the northwestern part of the field, which is approximately (15) km west of the governorate center (Samawah). The information from the wells (well velocity survey, formation depths, logs) was relied upon and entered into the seismic cube data to capture the top of the Mishrif Formation. In addition is to pick the top of the Rumaila Formation

     In this study, we investigate the performance improvement of titanium oxide (TiO₂) nanocomposites as NO₂ gas sensors for optimum sensitivity. The TiO₂ nanocomposites were synthesized using a solvothermal method and were modified with different dopants and additives to enhance their sensing properties. The sensing performance of the TiO₂ nanocomposites was evaluated in terms of sensitivity, selectivity, response time, and recovery time. The synthesized nanocomposites were successfully characterized using AFM, FTIR, SEM-EDX and XRD techniques. The results showed that the addition of additives such as TiO₂/GO, TiO₂-Ag/GO and TiO₂- Al₂O₃

     This study was carried out with the freshwater mussel Unio tigridis exposed to lead nitrate. The samples of water and mussels were collected from Qandil water resources situated in Qandil village at 36° 37' 39.55" north latitude and 44° 10' 51.80" east longitude, and it is  322 meters above sea level. In January 2022, rivers and aquariums water were tested for temperature,  pH, EC, TDS, DO, total alkalinity, total hardness, and calcium and magnesium ions. Studied organisms were exposed to variable concentrations of lead nitrate ranging from 0 to 900 ppm. The 96-h median lethal concentration (LC₅₀) was measured and a comparison was made between the behavioural responses of the control and treatment groups.

     Learning from imbalanced data has been a focus of studies for more than two decades of continuous development. Training data is considered imbalanced when the size of the positive (minority) class is neglected because of the large size of the negative (majority) class, in addition to the problem of deviating distributions of binary tasks. The appearance of big data brings new problems and challenges to the imbalance problem. Big Data announces the challenges with 5V: volume, velocity, veracity, value, and variety. This study relied on dividing the solution to the problem of data imbalance into three levels: data level, algorithm level, and hybrid approaches. First, the standard solutions for this problem that were proposed were

Viral load of COVID-19 can be concluded from the cycle threshold (Ct) values measured by RT-PCR test performed on suspected samples. SARS-CoV2 viral load has not been standardized yet to reflect the outcome of COVID-19 infection. This cross-sectional study was performed to detect the frequency of SARS-CoV2 among suspected patients and the correlation of viral RNA load represented by cycle threshold (Ct) values with patients’ clinical presentation (disease severity), comorbidities and demographic data.

A total of 520 participants suspected to have SARS-CoV2 infection were enrolled. After filling a questionnaire, a nasopharyngeal swab was collected from each patient and subjected to RT-PCR with the use of specific primers. Ct valu

     The transverse magnetic electron scattering form factors of ¹⁹O and ²¹Na exotic nuclei were studied in the plane wave Born approximation (PWBA). The shell model calculations with three sd-shell interactions, USDA, USDB, and Wildenthal, were carried out for the ground and low-lying excited states. The exact center of mass correction in the Born approximation picture through the translation-invariant shell model (TISM) was included to modify the transverse form factors. The measured magnetic dipole moments were well reproduced with the core polarization (CP) effect introduced through the effective g-factors. The occupancies percentage with respect to the valence nucleons was also calculated.

     A geographic information system (GIS) is a very effective management and analysis tool. Geographic locations rely on data. The use of artificial neural networks (ANNs) for the interpretation of natural resource data has been shown to be beneficial. Back-propagation neural networks are one of the most widespread and prevalent designs. The combination of geographic information systems with artificial neural networks provides a method for decreasing the cost of landscape change studies by shortening the time required to evaluate data. Numerous designs and kinds of ANNs have been created; the majority of them are PC-based service domains. Using the ArcGIS Network Analyst add-on, you can locate service regions around any network site

     Since the pandemic of the coronavirus (COVID-19) in 2019, it has rapidly become a major global health concern. Various mutations and rapid spread of the virus, a lack of specific treatment, and limited hospital facilities highlight the importance of anticipation, risk analysis, and timely treatment. The use of mathematical models, artificial intelligence, and simulation methods are effective tools in predicting the spread and providing effective solutions to prevent virus transmission. Analysis and forecasting require an integrated model to cover different aspects of the problem and use different methods to obtain appropriate results.

   In this research, a proposed model for analysis and prediction of COVID-19 cases in

 The data fusion process includes merging two or more pieces of information obtained from different sensors. Satellite image fusion research aims to create a new image by combining two images captured by different sensors using various methodologies. In this research, image sharpening tools were used to combine a hyperspectral image with a low spatial resolution captured by a Hyperion sensor mounted on the Earth Observation 1 (EO-1) satellite with a grayscale high spatial resolution image captured by Enhanced Thematic Mapper Plus (ETM +) sensor mounted on Landsat-8 (resampling first one to ensure equal spatial resolution of both images). In addition, three techniques were adopted for implementing the Fusion mechanism: the Principal Comp

     This scientific paper presents two novel lanthanide metal complexes [Sm (III) and Ce (IV)] synthesized through a series of reactions involving organic ligand 8-[3-(pyrazoyl)azo]adenine (PAA). Ligand (PAA) and their complexes were characterized using various analytical techniques, including C.H.N.S elemental analysis, magnetic measurement, X-ray diffraction, thermal analysis, SEM, (TGA) UV-Vis spectroscopy, FT-IR spectroscopy, and HNMR analysis. These techniques were employed to support the mode of binding and geometrical structure for ligand (PAA) and its Lanthanide (Ln) complexes. The FTIR and HNMR spectral results showed that   (PAA) acts as neutral N,N-bidentate with [Sm (III) and Ce (IV)]. The geometric shape of the synthe

     This work compares the changes in optical and structural properties of cerium oxide (CeO₂) when doped with different concentrations (3%,5%,7%, and 9%) of two oxides, In₂O₃ and Eu₂O₃. X-ray diffraction and spectrophotometry were employed in the visible, ultraviolet, and near-infrared regions. The findings demonstrated that CeO₂ doped with In₂O₃ and Eu₂O₃ thin films were polycrystalline and had a cubic structure. The crystal size increased from 20.5 to 32.15 when Eu₂O₃ doping ratio increased from 0% to 7% and then decreased to 28.46 nm at 9%. While the crystal size showed an increase from 20.5 to 21

     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.

     In this paper, we investigate the influence of the rotation and magnetic field on the peristaltic flow of the Bingham fluid in an asymmetric channel with a porous medium under the long wavelength and low Reynolds number approximation assumptions.                                                                                                                           

The perturbation method and the Mathematica program for solving nonlinear partial differential equations are used to couple the momentum equations with the rotational and magnetic field equations. The fluid is considered to be subject to