Oil and gas extraction greatly impacts the environment due to the existence of natural radionuclides in crude oil. Uncontrolled dealing with the extraction can lead to radiological contamination. This research aims to determine the radioactivity concentration of naturally occurring radioactive materials (NORM) and risk assessment of contaminated soil in oil fields. Three oil fields in Al- Basra government southern of Iraq were investigated; 45 soil samples were collected from several locations, the first group of soil samples from Al Rumaila southern oil field, the second group was collected from Khudair Almay storage site, and the third group collected from a waste pit near an oil-well in Majnoon oil field. High purity germanium (HPGe)

Hypothyroidism, a condition where the thyroid gland does not produce enough thyroid hormone to maintain health, is most often caused by iodine deficiency in areas where iodine levels are low. However, in regions with adequate iodine, Hashimoto's disease is the leading cause of hypothyroidism and thyroid failure. Neudesin in neuropeptide hormone, which is released by the brain and fat tissue, has both metabolic effects and neural. The study included ninety participants divided in two groups: in this study, the initial group comprised 30 female and 30 male individuals diagnosed with hypothyroidism, while the second group consisted of 15 female and 15 male participants who were healthy controls. The age range for both groups spanned from 30

A cohort study was conducted among 210 health staff members in Sulaimani city to assess the safety and effectiveness of the Pfizer-BioNTech vaccine. They were divided into two groups: vaccinated and unvaccinated. The vaccinated group received two doses of the Pfizer vaccine, while the unvaccinated group did not receive any vaccines during this study. Vaccine reactogenicity was assessed using a self-report form. Whereas vaccine immunogenicity was assessed by testing the anti-receptor binding domain IgG (anti-RBD IgG) antibody. Several adverse effects were observed with each dose. The most frequent adverse effects were pain at the inoculation site, tiredness, myalgia and fever. The average adverse effects per person in the

Resistin (RE) is a cysteine rich polypeptide. It has been established that in humans adipocytes, pancreatic cells, muscle, and mononuclear cells all express this 108 amino acid polypeptide. It is important to note that resistin is primarily produced by peripheral blood mononuclear cells (PBMCs) in humans. Its part in the inflammatory processes has been proven. Immunoglobulins IgA and IgM are crucial elements of humoralimmunity. They increase inflammatory responses and the removal of immunological complexes by activating the complement system, sensitizing natural killer cells, phagocytes, and mast cells, and regulating cytotoxic cellular activity. The aim of this study was to determine resistin and immunoglobulin IgA and IgM levels in the

The detection of extremism is a field of research aimed at discovering extremism and hate speech on social networking sites through the use of natural language processing tools. Although this field is wide, there is little research in Arabic that has dealt with this topic compared to research in English, although a very large percentage of social media users are Arabs and interact in Arabic. In this research, the most important research works related to the field of extremism detection in the Arabic language using machine learning algorithms will be reviewed, and related works will be compared in terms of methodology and results.

ABO blood types and the Rh factor have recently been linked to an increased risk of developing the pandemic coronavirus disease 2019 (COVID-19) in individuals of different ethnic backgrounds. The conducted current study aimed to comprehend the relationship between this polymorphic apparatus and illness risk in Nineveh patients and healthy individuals. Recovery or death and two COVID-19 outcomes were also investigated. Many individuals including COVID-19 Nineveh patients had their ABO blood type and Rh factors determined. Thus, four groups (under therapy, rehabilitative, death, and healthy donors) were created from the research samples. The diagnosis kit RNA (PCR-Fluorescence Probing) was used to diagnose 2019 novel coronavirus (2019nCoV)

Nanotechnology is an emerging technology that has led to the nanomedicine development, which involves nanoparticles that exist in the natural world. Nanoparticle is an ultrafine unit with dimensions measured in nanometers. They are created as a result of human activities, and have recently been used in various biomedical applications, consumer products, and commercially, etc. Magnesium oxide nanoparticles (MgO NPs), among the known metal oxides, have attracted a vast scientific interest. Therefore, human health can be at risk of continuous exposure. However, the toxic effects of MgO NPs should be assessed with their increased applications. The present study aimed to investigate the physiological and histological, alterations induced by t

The natural radioactivity in the sediments of the Tigris River was measured using gamma spectrometry using an HPGe detector. Ten sediment samples were collected, and the target radionuclides are ²²⁶Ra, ²³²Th and ⁴⁰K. Radioactivity in sediment was investigated in clay and silt fractions beside the hazard indices. The ²²⁶Ra concentration ranged between 6.5 and 11.2 Bq/kg, ²³²Th from 4.1 to 9.6 Bq/kg, and ⁴⁰K from 133.8 to 260.2 Bq/kg. The average values of the natural radionuclides of these elements are within the worldwide average or less and comparable to those of the rivers in other countries; accordingly, the radiological hazard indices such as absorbed dose rate, annual

The aim of this paper is to design a neural network for solving the singular perturbation problems by using neural networks. The modified neuro system using a polynomial of second degree is to replace each component in the training set. The foundation of this approach is to swap off each x in the input vector training set       (x_j ) ⃗=(x_1  , x_2  , …, x_n )  , x_j∈[a,b]  , the polynomial will be as  ξ(x) =λ/( 2 )(x^2+x+1), λ∈(a ,b). The appropriate value is determined within a certain range, which has a significant impact on the accuracy of the solution. The numerical results show that the modified neuro system method is better and more accurate than usual artificial neural network method, the main reason for th

Lung cancer is the first killer among all the known malignancies. Late detection of this malignancy is a major contributor to advanced-stage diagnosis and poor outcomes. Pulmonary microbiota has been recently reported as one of lung cancer risk hallmarks that is still to be fully understood. This study aimed to explore the potential role of microbiome in predicting lung carcinogenesis. Microbiome Library Construction of the 16SrRNA variable region (V3–V4) was conducted by gene amplicon sequencing using the Illumina sequencing platform. Microbiome data was analysed using Version QIIME2-202006 software for species annotations. The sequences were denoised by the DADA2 plugin implemented in QIIMETM2. The bacterial amplicon sequenc

The main purpose of this paper, is to characterize new admissible classes of linear operator in terms of seven-parameter Mittag-Leffler function, and discuss sufficient conditions in order to achieve certain third-order differential subordination and superordination results. In addition, some linked sandwich theorems involving these classes had been obtained.

Pesticides are man-made chemical compounds, widely used in agriculture to control different types of pests, product crops and prevent diseases which damage them. This experiment used herbicide Goldate, insecticide Alexander and their mixture with different concentrations exposed to common carp in 40L glass aquaria. The results showed that there was a significant increase in the alanine aminotransferase (ALT) and aspartate aminotransferase (AST) means value of mixture pesticides compared with control. The liver tissues of the fish exposure to pesticides groups G1, A1, M1 and M2 showed different degrees of jaundice, cellular swelling, necrosis hepatocytes and vascular degeneration of pancreatic acini and aggregation of bile pigments. These

The Internet of Things (IoT) has had a substantial impact on a number of industries, including smart cities, the medical field, the automotive industry, and logistics tracking. But along with the IoT's advantages come security worries that are proliferating more and more. Deep learning-based Intelligent Network Intrusion Detection Systems (NIDS) have been created to detect continually evolving network threats and trends in order to address this issue. Six alternative deep learning algorithms, including CNN, RNN, and DNN architectures, are used in this research to present a novel anomaly-based solution for IoT networks. Three distinct intrusion detection datasets were used to evaluate the algorithms, and the findings revealed that the hyb

Ten isolates of Klebsiella pneumoniae, seven isolates of Pseudomonas aeruginosa and nine isolates of Staphylococcus aureus, were obtained from 100 urine samples collected from Baghdad hospitals. All isolates were identified biochemically and confirmed by using VITEK 2 and were then tested for their susceptibility towards 6 antibiotics and for phenolic extracts of Thymus vulgaris and Cinnamomum cassia. All bacteria were greatly affected by T. vulgaris, especially K. pneumoniae. Viable count was performed, it was noted that the number of bacterial cells reduced from 1×10⁸ CFU to 1.2× 10³, 2×10⁵ and 1.8×10⁶CFU of K. pneumoniae,

In this work, the effect of the ionospheric variables on the astronomical radio signal was studied. Florida station, for the year 2014, was selected and the actual observation data of the Jupiter signal from the Radio JOVE Data Archive was used. The Radio Jove Pro software was used to determine the number of radio emissions from Jupiter that were supposed to occur. The data of the electron density and temperatures of the ionosphere for altitudes 200-500 kilometers were taken from the International Reference Ionosphere (IRI) site, where 116 supposed events were obtained, and after applying determinants for the angle of elevation of Jupiter and the elevation of the sun, this number was reduced to 45. This work aims to focus on the role of

The emergence of antimicrobial-resistant ESBL-producing Escherichia coli and Klebsiella pneumoniae among community-acquired uropathogens represents an important therapeutic challenge. Henceforth, the purpose of the study was to investigate the antibiotic susceptibility patterns of ESBL-producing Escherichia coli and Klebsiella pneumoniae among community-acquired urinary tract infections and then identify the risk factors. Escherichia coli and Klebsiella pneumoniae strains were isolated from patients with symptomatic community-acquired urinary tract infections. The ESBL-producing and antimicrobial susceptibility tests were then performed using the broth microdilution technique. Among 826 Es

The goal of fusing multi-focus images is to obtain one image that has all the significant features from each input. The fusion process is needed because of the limitations of the optical lens depth of field that is used to capture images, so images of various focused regions are produced. In this paper, a multi-focus image fusion algorithm is proposed. It is based on utilizing the biorthogonal wavelet transform to extract details and edges from the input images by making the approximation subband equal zero and applying an inverse transform to get images that have only edges, lines, and details. The average gradient metric, which is used to represent sharpness and clarity, is calculated as an activity measurement for each NxN block of th

During the COVID-19 epidemic, improperly discarded face masks turned out to be a severe source of environmental contamination that threatened lives. Bacteria are a crucial degrading agent for face masks. The objective of this study was to isolate and characterize potential face mask-degrading bacteria from discarded face masks at Parangtritis Beach in Yogyakarta, Java, Indonesia. Mineral Salt Media (MSM) containing face mask (black duckbill, blue surgical and white KF94) was used to select bacterial growth ability. The process of face mask degradation was also assisted by scanning electron microscopy (SEM) examination. Eight bacterial strains, designated AP1 through AP8, were obtained using an enrichment screening technique. AP1-AP3, AP4

Deep learning has become the driving force behind many contemporary technologies and has been successfully applied in many fields. The core objective of this study is to comprehend, investigate, and stipulate significant insights into the deep learning applications in various supply chain management functions through a bibliometric analysis. The literature for the study is gathered from the Scopus database. A bibliometric analysis is conducted using R Studio. It has been found that researchers from China are publishing the most research findings in this area. The study observed drift in concentrated areas of the field from 2007 to 2022. This analysis introduces a paradigm shift in trend techniques. Compared to using computer simulation,

The study investigated the antibacterial properties of chromium nanoparticles using Pulse laser ablation technology. The nanoparticles were produced using a Q-switched Nd:YAG pulsed laser of 532 nm and pulsed laser energies ranging from 400mJ to 700mJ at a frequency of 6 Hz. The properties of the nanoparticles were characterized using various techniques, including XRD, AFM, SEM, and EDS, at laser energies of 400 and 700 mJ. The resulting chromium powder exhibited a crystalline structure, with average crystalline sizes of 42.25 and 52.53 nm for laser energies of 400 and 700 mJ, respectively. EDX analysis revealed the presence of chromium, carbon, and oxygen at different concentrations for both energy levels. FE-SEM images showed the shape

The aim of this paper is to prove some weak and strong convergence results of a novel modified Picard-S hybrid iteration to converge to fixed point involving nearly non-expansive mapping in the setting of uniformly convex Banach space. Our results generalize and improve the known results of the existing literature.

Ozone (O₃) occurs naturally in the Earth's upper atmosphere, and at ground level is a dangerous pollutant hurts plants and lung tissue and it’s a major component of smog. The purpose of this study to analyze the time series, trend, and spatial-temporal changes of monthly Relative Humidity (RH), Outgoing Longwave Radiation (OLR), and O₃ in Iraq using the Atmospheric Infrared Sounder (AIRS) ascending AIRS3STM data during 2003 - 2021. The time series over six stations (Mosul, Sulaymaniyah, Khanaqin, Rutba, Baghdad, and Basra) have been analyzed and showed similar changes and fluctuation in O₃ and OLR. The results of the study obtained were: minimum (decreasing, January–December) and maximum (increasing,

Merging galaxies provide an excellent laboratory for investigating several physical properties related to the merging processes. In this research, high-resolution ¹²CO (J= 1 – 0) data of the molecular gas was reported in the merging galaxy VV114 from the Atacama Large Millimetre/Sub-millimetre Array (ALMA) to study some of the physical characteristics at the sub-kpc scale. Infrared (IR) data from the Spitzer Space Telescope was used to determine the star formation rate (SFR) and were compared with the properties of the molecular gas. The molecular gas map was divided into 12 regions with a scale of (500 – 600) pc in the CO (1 – 0) integrated intensity and velocity dispersion map. The findings showed a low value for the i

Infectious toxoplasmosis, caused by an obligate intracellular protozoan Toxoplasma gondii, is a prevalent zoonotic disease that affects humans and warm-blooded animals. Cytokines are a class of signaling molecules that are widely employed in cellular communication; cells produce them, and they have an impact on how other cells interact. The aim of this study was to clarify the relationship between serum levels and gene expression of interleukin18 in miscarried women with toxoplasmosis. A Total of 200 blood samples from patients and controls were collected from Baghdad, Iraq between November 2021 and March 2022 which were used to measure gene expression of IL-18 using real-time PCR. Enzyme-linked immunosorbent assay was used to d

In this work, new Schiff bases of quinazolinone derivatives (Q1-Q5) were synthesized from methyl anthranilate. The synthesis involved three steps. In the first step, methyl anthranilate was reacted with isothiocyanatobenzene, producing the thiourea derivative K1. The second step entailed reacting K1 with hydrazine hydrate, synthesizing 3-amino-2-(phenylamino) quinazolin-4(3H)-one (K2). The third step involved reaction of K2 with various aromatic aldehydes, yielding the Schiff bases derivatives Q1-Q5. The chemical structures of these compounds were identified by FT-IR,¹H NMR and ¹³C NMR spectroscopy. The newly synthesized derivatives (Q1-Q5) were subjected to rigorous evaluation to assess their efficacy as corrosion

This study evaluated the effect of two different types of amino group-containing pharmacological inhibitors on titanium corrosion under acidic conditions. The first inhibitor examined was the antibiotic trimethoprim. The second inhibitor studied was the nonsteroidal anti-inflammatory drug voltaren. The results showed that titanium had a high corrosion current in the absence of a corrosion inhibitor, however, trimethoprim notably enhanced corrosion resistance and protection percentages of titanium (%IE) at higher concentrations by adhering to the metal surface, as evidenced by improved protection percentages. Furthermore, the results showed that as Voltaren concentration was increased, both corrosion resistance and inhibition efficiency d

The presented study investigates the scheduling regarding  jobs on a single machine. Each  job is processed with no interruptions and becomes available for processing at time 0. The aim is to find a processing order with regard to jobs, minimizing “multi-criteria and multi-objective” for two problems. The first problem considers the summation completion time , summation late work , and maximal tardiness , while the second problem considers the total completion time , total earliness , and maximum tardiness . In addition, a sub-problem is presented for each problem and denoted by 1//  and 1//  for the first and second problems, respectively, which is an NP-hard problem. Two meta-heuristics methods “particle swarm optimization (P

Heavy metals and metalloids can accumulate in the soil, cause severe risks to human health and the ecosystem, and threaten the sustainable use and management of soil resources. This study investigated the Distribution and levels of heavy metals in soils of different lands in Abu-Ghraib (AGP), Baghdad, Iraq. Twenty-seven samples from cultivated soil and two uncultivated soil samples were collected during February 2023 from the surface layer (0–30 cm depth) and analyzed for major oxides and heavy metals. Different parameters were utilized to investigate the naturality of studied soils, including grain size analysis, pH, total dissolved solids (TDS), electrical conductivity (EC), and trace elements (TEs) concentration. Analysis of grain s

The new azo dye was synthesized via the reaction of the diazonium salt form of 3-aminophenol with 2-hydroxyquinoline. This dye was then used to access a series of complexes with the chlorides of manganese, iron, zinc, cadmium, and vanadium sulfate. The prepared ligand and its complexes were characterized by FT-IR spectroscopy, UV-visible spectroscopy, mass spectrometry, thermogravimetric analysis, differential scanning calorimeter, and microelemental analysis. Conductivity, magnetic susceptibility, metal content, and chlorine content of the complexes were also measured. The ligand and cadmium complex were identified using¹H NMR and ¹³C NMR spectroscopy. The results showed that the shape of the ligand is a t

The main objective of recommender systems is to assist users in overcoming the issue of information overload by providing them with a carefully selected list of items that they are likely to find useful or relevant. Recommender systems may face many limitations and challenges, such as the cold start problem, which occurs when there is insufficient or no information about a new user or item. This leads to a decline in the performance of the recommender system. In this paper, we propose a recommendation system based on textual reviews and the deep learning method (RS-TRDL) to alleviate the user cold-start problem. Our RS-TRDL model can extract the important aspects and underlying sentiment polarity classification from the review text using