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Iraqi Journal of Science

Volume: 64

Issue: 08

Publication Year: 2023

Publication Date: August 2023

Articles in This Issue

Pages 3725-4311

1

Synthesis of New Oxopyrimidine and Cyanopyridine Derivatives Containing the Pyrimidine Benzothiazole Moiety with the Evaluating their Colon Anticancer Bioactivity

Pages: 3725-3734 English

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Abstract

In this contribution, new derivatives of bicyclic fused rings with bridgehead nitrogen of 3-substituted imidazo/pyrimidine derivatives A1-A3 were synthesized by reacting 2-aminobenzothiazol, acetyl acetone, and different substituted aldehydes in a one-pot reaction. These compounds A1-A3 were then condensed with 4-bromobenzaldehyde and 4-(N,N-dimethylamino)benzaldehyde to form new chalcone derivatives A4-A9. Ring closure of these compounds A4-A9 with urea and malononitrile afforded new oxopyrimidine derivatives A10-A15 and cyanopyridine derivatives A16-A21, respectively. These compounds were characterized by FT-IR, 1H NMR, and 13C NMR spectroscopy. The second part of this work included some of the important applications conducted for these compounds to evaluate their biological activities against colon cancer, which showed excellent results against this disease.

Keywords

CaCo-2. Chalcone Colon anticancer cyanopyridine Imidazo Oxopyrimidine pyrimidine

2

Determination of Folic Acid in both Pure and Pharmaceutical Preparations via Oxidative Coupling Reaction

Pages: 3735-3747 English

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Abstract

In this study, the development of an indirect spectrophotometric method for the determination of folic acid in pure and pharmaceutical preparations is described. The method is based on the oxidation of pyrocatechol with iron (III) in an acidic medium, followed by the reaction with folic acid (FA) to produce a stable, soluble-water orange compound with maximum absorption at 350 nm versus the blank reagent. The complex of charge transfer was studied under optimal conditions; the titration graph was linear over the range of 0.5-25 μg/mL with a relative error of 1.2-2.8 and a relative standard deviation of 2.43-1.45 depending on the concentration level.

Keywords

Beer’s law Folic acid oxidative coupling Pyrocatechol vitamin B9

3

Photocatalytic Decolorization of Crystal Violate Dye Solution by ZnO/MWCNT Nanocomposite

Pages: 3748-3762 English

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Abstract

By extracting crystal violate dye (CV) from its aqueous solution, the photocatalytic decolorization performance of ZnO/MWCNT nanocomposite was evaluated. The nanocomposite was prepared by precipitation of ZnO and incorporates on the surface of Multi-Walled Carbon Nanotubes (MWCNT). ZnO nanoparticles were synthesized using the sol gel process with MWCNT acting as a template. They were then analyzed by XRD, SEM, and TEM, which revealed how the shape of the spherical nano ZnO interacts with the point of zero charge (pzc), which allows us to see the physical attributes. In the dipping photoreactor, which included a slurry of dye solution and ZnO/MWCNT nanocomposite, the effectiveness of decolorization was assessed. The photodecolorization was studied for CV dye in aqueous solution at different conditions: The effect of time, weight of catalyst, concentration of dye, temperature, the initial pH of dye solution and addition of S2O82- to show the optimum condition of this process. The main results were the synthesis of incorporated ZnO on MWCNT surface with 10-20 nm with high photodecolorization against CV dye. Full decolorization reached at 90 min and 89.8% decolorization at the half time of reaction. ZnO/MWCNT weight of 0.06 gm per 100 mL was optimum for photodecolorization. The photocatalytic reaction was more efficient in the deceasing of CV concentration and obeys the Langmuir-Hinshelwood kinetic, while the photodecolorization was not less than 95% in pH range 6-10.Also, the photocatalytic reaction was effected in the presence of S2O82-, where the photodecolorization was more efficient.

Keywords

MWCNT nanocomposite photocatalytic reaction Photodecolorization. ZnO

4

Selective Extraction of Metformin in Pharmaceutical Preparation via Synthesized MIP-SPE Technique

Pages: 3763-3778 English

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Abstract

This work demonstrates the synthesis and storage of molecular-imprinted polymers (MIP) at room temperature using bulk polymerisation of Metformin (Met) characterized by high sensitivity, low cost, and high stability. To ensure an acceptable adsorption capacity, the research employed 0.8:4:20 mmol ratios of template, monomer, and cross-linking agents for the polymerization. A functional monomer, 2-acrylamido-2-methyl-1-propane sulphonic acid C7H13NO4S, was cross-linked with N,N-methylene bisacrylamide C7H10N2O2 to form Met-MIP, which could be characterized using a UV-VIS spectrophotometer at 236 nm, FT-IR spectroscopy, and scanning electron microscopy. The elution process that was applied to the template Metformin from the Met-MIP created cavities that were caused by the porogenic mixture solution of methanol, chloroform, and acetic acid (70:20:10, respectively). In accordance with the Freundlich isotherm model, Met-MIP had a maximum adsorption capacity of 5.2998 μmol/g and a template to monomer ratio of 1:2. A solid-phase extraction syringe packed with molecular imprinted polymers was used for the selective separation and pre-concentration of Metformin from aqueous solutions and estimation of Metformin by MIP and HPLC instruments in multiple pharmaceutical drugs of Metformin from several sources. The comparison with standard analytical techniques by MIP and RP-HPLC showed no significant difference between the two methods.

Keywords

Isotherm process metformin Molecular imprinted polymer (MIP) pharmaceutical preparation. SPE

5

Adsorption of Azo Dye Onto TiO2 Nanoparticles Prepared by a Novel Green Method: Isotherm and Thermodynamic Study

Pages: 3779-3792 English

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Abstract

The current study examined the use of Sansevieria plant leaves extract as an environmentally acceptable, inexpensive, and safe green approach for creating titanium dioxide nanoparticles (NPs). Batch studies have been used to test the particles' capacity to bind to the azo dye congo red (CR), which has been adsorbed from its aqueous solution. The effects of many factors, including the weight of TiO2 NPs, the contact duration to reach equilibrium, the concentration of CR, temperature, and pH, have been investigated. Both the Freundlich and Langmuir models were used to analyze experimental results. According to the high values of the Freundlich model's correlation coefficient R2, it is discovered that the adsorption of CR dye onto nano TiO2 is well-suited. The kinetics analysis for the adsorption trials proposed the pseudo-second-order. Thermodynamic data showed that the CR dye adsorption onto nano TiO2 is a physical process that happens spontaneously and endothermically with increasing unpredictability.

Keywords

a novel green method. Adsorption azo dye Isotherm thermodynamic TiO2 NPs

6

Changes of Serum Electrolytes and Serum Vitamin C Levels in a Sample of Iraqi patients Infected with Helicobacter pylori (H. pylori)

Pages: 3793-3798 English

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Abstract

Helicobacter pylori (H. pylori) is widespread and involved in the pathogenesis of the majority of stomach and duodenal diseases. Reduced stomach acidity facilitates the initial infection. Electrolytes (sodium, potassium, and chloride) are essential for the production of stomach acid. This study aimed to observe any changes in the levels of serum electrolytes (Na, K, and Cl) and serum vitamin C levels in a sample of Iraqi patients infected with H. Pylori. We studied 30 infected patients with H. Pylori and 30 matched healthy controls. The results revealed that the serum sodium, potassium, and chloride levels were significantly decreased (p = 0.002, 0.003 and 0.0001, respectively) in the patients infected with the H. Pylori group in comparison with those of the healthy controls. Also, vitamin C levels were significantly lower in patients infected with H. Pylori than in the control group (p = 0.001). The present results suggest that these changes may be attributed to or contribute to the infection itself through changes in gastric acidity, and this needs further study.

Keywords

electrolytes Helicobacter pylori vitamin C

7

Evaluation of Gene Expression Level of miRNA-29c, miRNA-125, miRNA-141, miRNA-145 and miRNA-205 as Predisposing Factors for Transitional Cell Carcinoma-Bladder Cancer in Iraqi Patients

Pages: 3799-3811 English

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Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally. Transitional cell carcinoma(TCC) of the bladder Cancer (C) account 95 percent of bladder malignancies, with males having a greater prevalence than females. The current study sought to determine whether there is a link between miRNA-29c, miRNA-125, miRNA-141, miRNA-145 and miRNA205 expression levels and TCC/BC risk in Iraqi bladder cancer patients. In the current prospective cross-sectional investigation, 149 samples were collected (95 urine and 54 tissue biopsies). From November 2018 to August 2019, 37/95 urine samples were randomly taken from healthy persons. Total RNA was extracted from tissue and urine samples, and then converted to cDNA via reverse transcription. Quantitate Real-Time-PCR was done using specific primers for quantification of gene expression level of the studied miRNAs. The results showed that 32/49 (65%) patients had non-muscles invasive bladder cancer (stage T1), while 17/49 (35%) patients had muscles invasive bladder cancer (stage T2-T4). Fold change in miRNA-125 expression level showed highly significant differences between non-muscles invasive bladder cancer (T1) and muscles invasion bladder cancer (T2-T4) in both urine and tissue samples biopsies using Chi-square test at p ≤ 0.01. Whereas miR-29c, miR-141, miR-145 and miR-205 showed no significant differences at p > 0.05 between muscles invasive bladder cancer (T1) and muscles invasive bladder cancer (T2-T4) in both urine and tissue biopsies samples. Thus, miR-125 can be associated with the development of invasive stages of TCC-BC as there is an increase in miR-125 expression level in the urine of patients during the final stage of cancer.Hence, this gene could be considered a good predictor in advanced stages of bladder cancer.

Keywords

Bladder cancer microRNAs prognosis biomarker. Transitional cell carcinoma

8

In vitro Radio Protective Effects of Metformin on Human Lymphocytes Irradiated with Gamma Rays

Pages: 3812-3821 English

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Abstract

Radio protective effects of metformin and its ability to alter the spontaneous and induced genotoxic and cytotoxic levels effects on human peripheral blood lymphocytes were investigated in this study. Metformin, a hypoglycemic oral drug, is a biguanide derived from Galega officinalis that is widely utilized in controlling type 2 diabetes mellitus. Whole blood samples from 10 healthy donors (5 males and 5 females) were exposed to two doses of gamma-rays (1 and 2 Gray). Lymphocytes in cultures were treated with metformin (10 and 50μM) before gamma-irradiation. Cytokinesis-block micronucleus test was used to evaluate the protective effects of metformin on radiation induced genomic damage, cytostasis and cytotoxicity, via scoring micronuclei and nucleoplasmic bridges in once divided binucleated cells as well as counting nuclear division index. The results of the current study revealed that the increase in micronuclei and nucleoplasmic bridges rate is associated with the decrease of nuclear division index in human lymphocytes exposed to gamma radiation in a dose dependent manner. Metformin effectively decreased the rate of spontaneous micronuclei and nucleoplasmic bridges paralleled with the control as well as increased nuclear division index. Moreover, treatment of whole blood samples with metformin (10 and 50 μM), 2 h preceding to irradiation, remarkably reduced rate of micronuclei and nucleoplasmic bridges accompanied with an increase in nuclear division index rate. The results introduced metformin to be an effective radio protector against DNA damage induced by gamma radiation in human lymphocytes and that it can be used to develop radio protective materials for protection cells of cancer patients from the genomic damage prompted via radiotherapy.

Keywords

cytokinesis-block micronucleus Gamma ray Lymphocytes metformin

9

Molecular Identification and Phylogenetic-tree Analysis of Hard Ticks from Long Eared Hedgehog Hemiechinus auritus (Gmelin, 1770) in Iraq

Pages: 3822-3830 English

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Abstract

A total of 77 (35 female and 42 male) hard ticks samples were isolated from 22 long-eared hedgehog during January 2021 to May 2022. All animals were infested with one or two species of hard ticks with 100% infestation rate With the density of infestation mean of 3.5. The areas of collection were Baghdad, Wasit, Karbala and Al-Anbar provinces. Morphological study revealed that both species belonged to one genus of hard ticks: Rhipicephalus sanguineus (Neumann, 1904) 50.64% and Rhipicephalus turanicus (Morel, 1969) 49.35%. The molecular investigation of current study revealed that the sensitive and specific PCR assay allowing rapid and reliable identification of Rhipicephalus sp. by the fragment size amplified, was 390- 400 bp 12S ribosomal RNA gene in Rhipicephalus turanicus and Rhipicephalus sanguineus isolate samples from the under-study animals. The accession numbers in NCBI-Genbank are ON211060 and ON211307 respectively. Phylogenetic tree analysis was based on small subunit ribosomal RNA gene partial sequence in local Rhipicephalus turanicus Iraqi isolate that was used for genetic relationship analysis. The local Rhipicephalus turanicus Iraqi isolate showed close relationship to NCBI-BLAST Rhipicephalus turanicus from Iran, Turkmenistan, Italy, Greece, Saudi Arabia and the Chinese isolates with total genetic changes at 0.01%. Whereas Phylogenetic tree analysis based on small subunit ribosomal RNA gene partial sequence in local Rhipicephalus sanguineus Iraqi isolate showed clear genetic difference to NCBI-BLAST Rhipicephalus sanguineus isolates from Argentina, Italy, Brazil, France, Portugal, USA and Spain at total genetic changes of 0.005-0.0020%.

Keywords

Hard ticks Iraq Long-eared hedgehog Molecular Phylogenetic-tree.

10

The Impact of Some Biochemical Factors in Increasing Disease Pathogenicity of Systemic Lupus Erythematosus

Pages: 3831-3836 English

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Abstract

Systemic lupus erythematosus (SLE) is a chronic autoimmune inflammatory disease with unknown etiology, though genetic and environmental factors appear to play a role in its pathogenesis. In particular, infectious processes are linked to the onset and exacerbation of SLE. The aim of the current study was to understand the relationship between some biochemical factors in SLE patients. 105 blood samples from both genders were collected. ELISA technique was used for detecting specific procalcitonin, vitamin D and calcium. The results of this study showed that SLE patients recorded the lowest percentages of calcium (7.36 ± 0.10 mg/dl) than control (11.97 ± 2.12 mg/dl), and vitamin D (7.79 ± 0.58 pg/ml) than control (22.10 ± 4.83 pg/mL). And the highest percentage of procalcitonin level in serum (35.73 ± 4.08 pg/ml) compared to the control (11.57 ± 5.35 pg/ml). Furthermore, the seroprevalence of SLE patients was the highest in the 31-45 years age group, and the majority of them were females which accounted 87.5 %. In this study vitamin D and calcium were the lowest in SLE patients. The severity of disease symptoms in SLE patients may be caused by specific alterations in vitamin D and calcium homeostasis. And procalcitonin was the highest in SLE patents.

Keywords

and Calcium procalcitonin Systemic lupus erythematosus Vitamin D

11

Exploring the Role of Caspase-3 and IL32 in SARS-CoV-2 Infection among Iraqi Patients

Pages: 3837-3847 English

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Abstract

Understanding Caspase-3 (CASP-3) and interleukin-32 (IL32) roles in SARS-CoV-2 infection is critical to linearize the pathogenesis of the virus as well as the resultant disease which may uncover novel therapeutic targets in treating COVID-19 patients. This study aimed to evaluate caspase‐3 (CASP3) and interleukin 32 (IL32) roles and their correlation with the disease severity among patients. The case-control study (140 patients and 60 healthy controls) was performed with molecular and ELISA assays. CASP3 and IL32 serum levels were determined along with other clinical data of patients. CASP3 levels were classified as significantly higher (p < 0.001), while IL-32 levels were significantly lower in production (p < 0.001) in most critical and severe patients compared with mild-moderate. Additionally, IL 32 production reduced with older age, whereas CASP3 levels elevated with older age compared to younger years. Also, the IL-32 showed a protective factor from the severity of the SARS-CoV-2 progression as a negative correlation with the biomarkers (lactate dehydrogenase (LDH), ferritin and D. dimer) values. Thus, IL-32 appeared as the opposite effect of the CASP3 on the severity of COVID-19 infections. ROC curve analysis indicated that IL32 is a good predictor in providing information about the severity of the disease and host recovery. Whereas CASP3 is associated with progressive disease (cut-off value = 160.7 pg/mL; 5.64 ng/mL respectively). CASP3 and IL32 can possibly provide information about the COVID-19 and could be used as cytokine markers to detect SARS-CoV2 infection severity and determine the most reliable treatment plan. More research is needed on this subject.

Keywords

SARS-COV-2; Caspase‐3; Interleukin 32; Lactate dehydrogenase; Ferritin; D-dimer.

12

Assessment of Ambient Air Quality in Neonatal Incubators at Selected Sites of Baghdad Hospitals

Pages: 3848-3858 English

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Abstract

An infant incubator in the neonatal intensive care unit (NICU) is a medical instrument of care that provides oxygen, warmth and moisture to a newborn baby. Due to environmental conditions affecting the infants foster babies may experience discomfort and pain at some point. Thus, this study aimed to assess ambient air quality in neonatal incubators to improve the environmental quality of neonatal intensive care units and safety. Air pollutants concentrations consisting of particulate matter (pm2.5, pm10), hydrocarbons (HOCH), volatile organic compounds (VOC), air quality index (AQI), humidity and temperature, were measured at four selected Baghdad hospitals (Al-Karkh and Rusafa) . The results showed that the increase in relative humidity (RH%) measured in all baby incubators and in all locations during the summer and winter seasons contributed to an increase in polluting gases emission inside the incubators, which was the highest measurement that gave significant difference for the incubator. The highest recorded measurement with significant difference for pm2.5 was 73.78 ± 0.096 in site2 in winter, pm10 was 106.73 ± 0.05 in site1 in winter, HCHO was 0.148 ± 0.005 in site3 in winter, VOC was 673 ± 0.005mg/m3 in site2 in winter, AQIwas 177.25 ± 0.5 in site2 in winter, RH% was 53.887 in the site3 during the winter and temperature was 32.25°C in site3 in summer. It can be concluded that there is a relationship between relative humidity and temperature that affectedthe gases concentrations as it showed variations in gases and particle matters concentrations which affected the air quality inside the neonatal incubatorsthat in turn affected the health of the neonates, especially increased severity of asthma attacks and low Intelligence quotient (IQ) in children in the future.

Keywords

air quality index Intensive care unit neonatal incubator temperature and RH%.

13

The Potential Efficiency of Bacillus subtilis AIK to Remove Nickel from Aqueous Solutions

Pages: 3859-3866 English

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Abstract

In this study a new strain of mesophilic Bacillus subtilis AIK, recorded for the first time in Iraq, was used to remove nickel (Ni) from aqueous solutions. The factors that affect bioremediation include temperature, pH value and metal concentrations. The results showed that the highest removal efficiency (R%) was 54, 52 and 48% at 25⁰C and pH of 5, 7 and 9, and with 10 ppm Ni concentration respectively. Whereas the highest R% recorded was 47, 45 and 52% at 30⁰C and of pH 5, 7, and 9 with 1 ppm Ni concentration respectively. On the other hand, the highest R% at 40⁰C was 49, 46, 42 % at pH 5, 7 and 9, with 5, 10 and 10 ppm Ni concentrations respectively. The results also showed that the optimum pH value for Ni removal at both 25 and 40⁰Cwas 5, while at 30⁰C it was 9. The optimum temperature was kept at 25⁰C. In general, B. subtilis AIK showed an admissible capacity to remove Ni from aqueous solutions.

Keywords

Bacillus subtilis Bioremediation. heavy metals Mesophilic bacteria Nickel

14

In silico Study to Optimize the Dosage of Oleuropein with Metformin in Diabetes Management

Pages: 3867-3881 English

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Abstract

Type 2 diabetes mellitus (T2DM) is a potentially fatal metabolic disorder
worldwide, in this COVID-19 era. Long-term allopathic treatment has a variety of
side effects, prompting the search for alternative therapies. Oleuropein, the primary
bioactive ingredient of Olive Leaf Extract (OLE), has shown noteworthy actions to
control T2DM. The present study provides a dynamic study of % improvement in
GLUT4 concentration with different doses of metformin (150mg-500mg) in
combination with 500mg using a dynamic in silico model developed in Cell Designer
4.4.2, a system biology tool. The results indicated that 300mg of metformin and
500mg of oleuropein is the optimum combination to treat diabetes, ensuring a 2%
improvement in GLUT4 concentration and an effective reduction in the dose of the
allopathic drug metformin when taken in combination with OLE for the improvement
in T2DM. The optimal dose of metformin with oleuropein was obtained successfully
using our proposed in silico dynamic model. The research could be used to create an
in vivo model to examine the effectiveness of herbal medicine for T2DM.

Keywords

In silico; Diabetes; Olive Leaf Extract (Oleuropein); Quantification; Metformin

15

Effect of Salinity Stress on Oxidative Stress Parameters and the Activity of Antioxidant Enzymes in Eight Durum Wheat Genotypes

Pages: 3882-3893 English

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Abstract

This study was carried out at the Tissue Culture Laboratory, which belongs to the General Commission of Biotechnology, in order to evaluate the influence of NaCl-induced salinity stress on some oxidative parameters (MDA and H2O2) and antioxidant enzymes (CAT, APX, and SOD) in eight durum wheat genotypes (Doma1, Bouhoth11, Cham3, Bezater, Cham5, Aghamatales, Icaverve, and Icamber) in vitro, to determine the most salinity tolerant genotypes. Salinity stress was applied by adding different levels of NaCl to the growing medium (0, 50, 100, and 150 mM). The experiment was laid according to a complete randomized design (CRD) with sixteen replicates. Increasing salinity level caused an increase in both the Hydrogen peroxide (H2O2), malondialdehyde (MDA) and the activity of the investigated antioxidant enzymes (SOD ،APX ،CAT) compared with the control. The leaf content of both H2O2 and MDA was significantly higher in the genotype Icaverve at the salinity level of 150 mM NaCl (45.67 and 130.74 μmol g-1 fresh wt. respectively), while the activity of the enzymes SOD, APX and CAT were significantly higher in the two durum wheat genotypes, Bouhoth11 and Doma1 at the highest salinity level (150 mM NaCl). Antioxidant enzymes play a pivotal role in the defense mechanisms in the durum wheat under salinity stress conditions, and the in vitro screening tool can be effectively used to assess the genetic variability for salinity tolerance in the durum wheat crop.

Keywords

Antioxidant enzymes Durum Wheat oxidative stress Salinity stress

16

Periodontal Disease: A Predictive Profile

Pages: 3894-3901 English

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Abstract

Periodontal diseases such as gingivitis and periodontitis are considered common diseases. This study is aimed to predicate these diseases using non-harmful specimens such as saliva throughout the detection of some parameters. In the beginning, a random 51 patients' saliva was collected from outpatients who suffered from different degrees of periodontal diseases. Concurrently, another 40 people who appeared to be healthy were collected, and both patients and healthy people were subjected to a questionnaire form and diagnosed by a specialist dentist. The results of this study revealed that there is no significant difference between males and females in infection with periodontal diseases. As well, smoking is not acting as the main factor causing this disease. Most patients' saliva pH was acidic. Immunological parameters such as toll-like receptor 2 (7.384 ± 4.031,5.313 ± 3.106 ng/ml) and α- amylase(2.444 ± 1.870,1.041 ± 1.044 ng/ml) are both increased significantly in patients than in the control group respectively, with no significant differences for CRP between both experimental groups, which may have been used both TLR2 and alpha-amylase with acidic pH as biomarkers to detect periodontal diseases.

Keywords

CRP gingivitis periodontitis TLR2 α- amylase

17

Increasing Amounts of Secondary Metabolites and Medicinal Compounds in Callus Culture of Moringa Oleifera (Lam.) Using Abiotic Elicitors

Pages: 3902-3913 English

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Abstract

Moringa oleifera Lam. tree has often been considered a medicinal and economical plant for its nutritional and medicinal properties. This study is intended to use plant tissue culture and elicitation technologies to increase secondary metabolites in the callus cultures of the M. oleifera. Young nodal segments were cultured on Murashige and Skoog (MS) medium supplemented with different concentrations of plant growth regulators (PGRs). A combination of 1.5 mg/l NAA plus 0.5 mg/l TDZ resulted in a high callusing rate (70%) with the largest size. Various concentrations of Salicylic acid (SA) and Methyl jasmonate (MeJa) were individually added to the growth medium to evaluate their impact on the biomass of callus cultures, DPPH antioxidant activity, and accumulation of some flavonoids. Results indicated that all elicitors doses reduced weights and growth index of callus. While DPPH assay recorded high significant values at high concentrations of SA and MeJa compared to other treatments. HPLC analysis revealed that every concentration of SA and MeJa used led to rising flavonoids content, including Baicalin, Rutin, Hesperidin, Rosmarinic acid, Quercitrin, Quercetin, and Kaempferol. It should be noted that 20 mg/l MeJa gave the highest flavonoid content compared to the control and other treatments. In conclusion, the in vitro elicitation by SA or MeJa can improve beneficial biological substances like flavonoids and other antioxidant compounds in Moringa callus cultures.

Keywords

abiotic elicitors DPPH flavonoids Moringa oleifera

18

Evaluation of Caspase 8 Role as a Gene and Protein in Chronic Myeloid Leukemia Incidence

Pages: 3914-3924 English

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Abstract

Chronic Myeloid Leukemia )CML( is a type of clonal hematopoietic stem cell disease marked by cytogenetic abnormalities induced by the growth and division of cells carrying the Philadelphia chromosome. The current research was carried out in Iraq to examine the link between Caspase 8 gene expression and Caspase 8 protein and the development of chronic myeloid leukemia (CML) in 100 samples (50 patients and 50 controls). There were differences in the expression of this gene between healthy controls and studied patients. The relationship between CML onset with age and gender was investigated in comparison to controls. The results revealed significant rises in the mean of Caspase 8 expression level (ΔCt) of patient groups in comparison to the related ΔCt means in the healthy group, as well as significant differences in gene expression folding (2-ΔΔCt) of Caspase 8 gene, which reached (2.778) in CML patients, Caspase 8 protein levels were (0.1059 ng/ml) and There were considerable variations between CML patients and control groups. On the other hand, the results for gender and age of CML patients compared to controls indicated no significant differences for genders of CML patients and controls, and significant differences P <0.0001 for age of CML patients and controls, this result suggests that CML may afflict people of different ages and affect both men and women.

Keywords

age chronic myeloid gender healthy Patients

19

The Novelty of Amino Acid Production From Feathers Degradation Em-ploying Keratinase from Streptomyces Venezuelae AZ15

Pages: 3925-3934 English

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Abstract

Keratinases are enzymes belonging to the serine hydrolases group which are ca-pable of degradation of keratin, an insoluble and fibrous structural protein widely cross-linked with hydrogen, disulfide, and hydrophobic bonds. Attempts to find new sources of enzymes and amino acids for fundamental knowledge of enzyme evolution, structure‐function relationships, catalysis mechanisms of enzymes, and even for the identification of novel protein folds. In this study, seventy-nine samples were col-lected from different places in the University of Baghdad, and the best isolate for amino acid production by feathers degradation was by using Streptomyces venezuelae AZ15. The best fermentation system and the optimum culture conditions for amino acid production from feathers as substrate utilizing S. venezuelae AZ15 were eluci-dated. Using feathers as a substrate, the results showed that the submerged fermenta-tion (SmF) system was the best to give the highest yield of amino acid. Furthermore, the highest yield of total amino acid was gained in feather broth supplemented with 2% glucose and 0.5 % ammonium nitrate, with a pH of 6.0 at 37 °C for 8 days.

Keywords

keratinase. optimum conditions Solid state fermentation submerged fermentation

20

Radon, Radium, and Uranium Concentrations in the Blood of Cigarette-Smoking Women and Lung Cancer Risk

Pages: 3935-3947 English

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Abstract

Radon and its daughters are of the natural radioactive decay of the uranium series. Exposure to radon gas leads to lung cancer, so the risks are significantly higher for smokers than for non-smokers. Therefore, the risk of radon increases for both active and passive smokers. The radioactivity of alpha particles emitted by radium 226, the main source of radon 222, has become harmful because its prevalence and inhalation increase with increased smoking. In this study, a CR-39 detector was used to measure radon, radium, and uranium concentrations and then calculate risk parameters in seven cigarette-smoking females in vitro study of human blood samples, and three normal females with no actual and passive cigarette smoking. The radon concentrations in blood samples varied from 147.36±0.08 Bq/kg to 659.92±0.04 Bq/kg with an average of 316.83±150.42 Bq/kg, the radium concentration varied from 13.55±0.27 Bq/kg to 60.70±0.13 Bq/kg with an average value 29.05±13.84 Bq/kg, and uranium concentration varies from 11.89±0.29 ppm to 53.23±0.14 ppm with an average value 25.47±12.13 ppm. The annual effective dose ranged from 4.42±0.48 to 12.57±0.28 mSv/y with average value of 8.35±3.10 mSv/y. The annual risk cases of lung cancer varied from 79.50±.0.11 to 226.26±0.07 with an average value of 150.22±55.78 per million people. The results deal with the radioactive effect of female cigarette smokers as a risk factor for lung cancer. Most of the results exceed the permissible international limits. Hence, human health and their life are at risk of radioactivity resulting from cigarette smoking that is concentrated in the blood of female smokers examined in this work.

Keywords

and U concentration cigarette smokers CR-39 detector female's blood Lung cancer RA RN

21

The impact of fault seal analysis and Matruh canyon of the petroleum trapping for Alam El Bueib Member at Emry Oil Field, Western Desert, Egypt.

Pages: 3948-3962 English

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Abstract

This study aims to overcome the unexpected hydrocarbon non-potentiality detected in the upper Alam El-Bueib (I to IIIE) and justify the hydrocarbon accumulation within Alam El-Bueib (IIIG) at the Emry oil field, also, it is important to highlight the importance of fault seal analysis and the impact of Matruh canyon as a seal. Seismic interpretation and 3D structural framework are carried out using the fault-seal analysis technique for fault no.1 (F1). To assess the fault zone's capacity to be defined as either seal or leakage. Litho-facies juxtaposition diagram (Allan diagram) and Shale Gouge Ratio (SGR) were generated. It is concluded that the possible reason for the dry reservoir of the upper part of Alam El Bueib (Alam El Bueib I to IIIE) due to the leakage of the fault (F1). On the other hand, the seal mechanism for Alam El Bueib IIIG is mainly related to increasing the thickness of the Matruh shale and Matruh Canyon act as a seal rock. SGR for Alam El Bueib IIIG is around 80%, which confirms the presence of the shale in Matruh Canyon is the reason for accumulating the hydrocarbon at Alam El Bueib IIIG.

Keywords

Canyon Emry Oil Field. Juxtaposition Seal Shale Gouge Ratio

22

Sedimentological, Mineralogical, and Geochemical characters of the Tigris River floodplain sediment in the Al-Alam area-Tikrit, Northern Iraq

Pages: 3974-3987 English

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Abstract

The mineralogical investigation, geochemical analysis, and grain size calculation were carried out for floodplain sediment in the Tigris River to identify the properties of the sediment. The average values of the three main sediment classes, very fine sand, silt, and clay are 9.67, 62.53 and 27.80%, respectively. The silt size fraction was predominant. The classification and nomenclature of surface sediment types from the floodplain of the Tigris River are sandy-silt and mud, and they are the dominant sediment. Statistical parameters of grain size analysis refer to the average of the median values 3.74 Φ very fine sand; mean in average 6.16 Φ coarse silt; standard deviation evident by average 1.30 Φ poorly sorted, skewed; in average -0.14 negatively skewed, and the average of Kurtosis 2.80 very leptokurtic. The samples analysed by the XRD technique revealed clay minerals (chlorite, illite, montmorillonite, and kaolinite) and non-clay minerals (quartz, feldspar, calcite, and dolomite). The heavy minerals identified as species were zircon, tourmaline, rutile, garnet, olivine, hornblende, pyroxene, kyanite, and magnetic particles. The concentration of major oxides by geochemical analysis indicates a high content of SiO2 and CaO in the floodplain of the Tigris river.

Keywords

Al-Alam geochemistry mineralogy Partials size distribution Tigris

23

Obtaining an Empirical Earthquakes Duration Magnitude Formula from the Data of the Iraqi Meteorological Organization and seismology (IMOS)

Pages: 3988-4001 English

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Abstract

This paper calculated the Duration Magnitude (MD) equation using data from the Iraqi Meteorological Organization and seismology (IMOS). It is an empirically determined equation and expressed as: ????????=0.8582×????????????(????????????????????)−0.0000262×????+2.1203±????????
The epicentral distance and local geological conditions affect the duration of the coda. The data is obtained from 7 seismic stations in the network. The new proposed duration magnitude equation results from applying linear regression analysis to the data of a seismic signal duration with correlation coefficient R2=0.76; and a standard deviation value of 0.049. Station corrections indicated by Sc are also specified for the seismic stations that range from -0.024 to + 0.02.
Keywords: Duration Magnitude, linear regression analysis, IMOS, Station correction, Coda-duration.

Keywords

Coda-duration. Duration Magnitude IMOS Linear Regression Analysis Station correction

24

Distribution and Evaluation of Lead and Cadmium in Some Soils Surrounding East Baghdad Oil Field

Pages: 4002-4017 English

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Abstract

Soil acts as a last sink for elements that people release into the environment through a range of activities due to its physiochemical characteristics. These substances, whether are organic or mineral pollutants, accumulate in the soil and constitute a significant risk to the ecosystem in general because they mess with the chemical and physical equilibrium of the soil, get into the food chain, and eventually get to people. When pollutant concentrations during the bioaccumulated process exceed the global standards for what is regarded as a contaminant in water, air, and soil. Nine soil samples were collected from different sites and two samples from each site at two depths (0-20 and 20-40 cm) to determine if there were any differences in element concentrations at each depth near the East Baghdad oil field in Iraq in February 2022 and analyzed to determine the impacts of industrialization and pollutants related to urbanization. When the grain sizes of the soil samples were analysed, the predominated size fractions were Loam + Clay Loam. The trace elements analysis using atomic absorption spectrometry for the examined soil samples showed levels of Pb and Cd within the global average. The physicochemical characteristic of soil samples was examined. The pH of soil samples from the study area ranged from 7.24 to 7.87, with a mean value of 7.631, indicating that the soil is slightly alkaline.

Keywords

Lead; Cadmium; East Baghdad oil field; Contamination; Spatial distribution

25

3D MHD Radiation Flow of Unsteady Casson Fluid with Viscous Dissipation Effect

Pages: 4018-4033 English

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Abstract

A numerical evaluation of the crucial physical properties of a 3D unsteady MHD flow along a stretching sheet for a Casson fluid in the presence of radiation and viscous dissipation has been carried out. Meanwhile, by applying similarity transformations, the nonlinear partial differential equations (PDEs) are transformed into a system of ordinary differential equations (ODEs). Furthermore, in the numerical solution of nonlinear ODEs, the shooting method along with Adams Moulton method of order four has been used. The obtained numerical results are computed with the help of FORTRAN. The tables and graphs describe the numerical results for different physical parameters which affect the velocity and temperature profiles.

Keywords

Adams-Moulton method. Casson Fluid Magnetohydrodynamic Thermal radiation Viscous dissipation

26

New Approach for Calculate Exponential Integral Function

Pages: 4034-4042 English

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Abstract

This manuscript presents a new approach to accurately calculating exponential integral function that arises in many applications such as contamination, groundwater flow, hydrological problems and mathematical physics. The calculation is obtained with easily computed components without any restrictive assumptions
.
A detailed comparison of the execution times is performed. The calculated results by the suggested approach are better and faster accuracy convergence than those calculated by other methods. Error analysis of the calculations is studied using the absolute error and high convergence is achieved. The suggested approach out-performs all previous methods used to calculate this function and this decision is based on the getting results.

Keywords

Chebyshev approximation Exponential integral Rational approximation Theis well function

27

Computational Study of the Flow of Newtonian Fluid Through A Straight Channel and Lid-Driven Cavity

Pages: 4043-4057 English

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Abstract

This article aims to introduce a numerical study of two different incompressible Newtonian fluid flows. The first type of flow is through the straight channel, while the second flow is enclosed within a square cavity and the fluid is moved by the upper plate at a specific velocity. Numerically, a Taylor-Galerkin\ pressure-correction finite element method (TGPCFEM) is chosen to address the relevant governing equations. The Naiver-Stoke partial differential equations are usually used to describe the activity of fluids. These equations consist of the continuity equation (conservation of mass) and the time-dependent conservation of momentum, which are preserved in Cartesian coordinates. In this study, the effect of Reynolds number (Re) variation is presented for both problems. Here, the influence of Re on the convergence rate and solution behavior is provided. Findings display that, there is a significant impact of Re upon the temporal convergence rates of velocity and pressure. As well, the rate of convergence increases as the values of Re are risen. For the cavity problem, one can infer that, as the Reynolds number rises, the size of the vortex is reduced.

Keywords

Finite element methods Galerkin Method Lid driven cavity Naiver-Stoke equations Newtonian fluid

28

Quasi-invertibility Monoform Modules

Pages: 4058-4069 English

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Abstract

The main goal of this paper is to introduce a new class in the category of modules. It is called quasi-invertibility monoform (briefly QI-monoform) modules. This class of modules is a generalization of monoform modules. Various properties and another characterization of QI-monoform modules are investigated. So, we prove that an R-module M is QI-monoform if and only if for each non-zero homomorphism f:M⟶E(M), the kernel of this homomorphism is not quasi-invertible submodule of M. Moreover, the cases under which the QI-monoform module can be monoform are discussed. The relationships between QI-monoform and other related concepts such as semisimple, injective and multiplication modules are studied. We also show that they are proper subclasses of QI-monoform modules. Furthermore, we focus on the relationship between QI-monoform and polyform modules.

Keywords

Monoform modules QI-monoform modules. Quasi-invertible submodules Rational submodules

29

Computational Methods for Solving Nonlinear Ordinary Differential Equations Arising in Engineering and Applied Sciences

Pages: 4070-4091 English

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Abstract

In this paper, the computational method (CM) based on the standard polynomials has been implemented to solve some nonlinear differential equations arising in engineering and applied sciences. Moreover, novel computational methods have been developed in this study by orthogonal base functions, namely Hermite, Legendre, and Bernstein polynomials. The nonlinear problem is successfully converted into a nonlinear algebraic system of equations, which are then solved by Mathematica®12. The developed computational methods (D-CMs) have been applied to solve three applications involving well-known nonlinear problems: the Darcy-Brinkman-Forchheimer equation, the Blasius equation, and the Falkner-Skan equation, and a comparison between the methods has been presented. In addition, the maximum error remainder (????????????????) has been computed to demonstrate the accuracy of the proposed methods. The results persuasively prove that CM and D-CMs are reliable and accurate in obtaining the approximate solutions to the problems, with obvious superiority in accuracy for D-CMs than to CM.

Keywords

Novel approximate solution; Hermite polynomials; Legendre polynomials; Bernstein polynomials; Base functions

30

Use Algebra of Group Action to Find Special Types of Caps in ????????(????,????????)

Pages: 4092-4101 English

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Abstract

Group action on the projective space ????????(3,????) is a method which can be used to construct some geometric objects for example cap. We constructed new caps in ????????(3,13) of degrees 2,3,4,7,14 and sizes 2, 4, 5, 7, 10, 14, 17, 20, 28, 34, 35, 68, 70, 85, 119, 140, 170, 238, 340, 476, 595, 1190. Then the incomplete caps are extended to complete caps.

Keywords

Cap finite field Finite projective space gap Group action.

31

S-Essentially Compressible Modulesand S-Essentially Retractable Modules

Pages: 4102-4108 English

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Abstract

Let ???? be a commutative ring with 1 and ???? be a left unitary R-module. In this paper, we give a generalization for the notions of compressible (retractable) Modules. We study s-essentially compressible (s-essentially retractable). We give some of their advantages, properties, characterizations and examples. We also study the relation between s-essentially compressible (s-essentially retractable modules) and some classes of modules.

Keywords

Essentially compressible Essentially retractable S-essentially compressible S-essentially retractable. Small compressible

32

On the Stability of Four Dimensional Lotka-Volterra Prey-Predator System

Pages: 4109-4130 English

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Abstract

The aim of this work is to study a modified version of the four-dimensional Lotka-Volterra model. In this model, all of the four species grow logistically. This model has at most sixteen possible equilibrium points. Five of them always exist without any restriction on the parameters of the model, while the existence of the other points is subject to the fulfillment of some necessary and sufficient conditions. Eight of the points of equilibrium are unstable and the rest are locally asymptotically stable under certain conditions, In addition, a basin of attraction found for each point that can be asymptotically locally stable. Conditions are provided to ensure that all solutions are bounded. Finally, numerical simulations are given to verify and support the obtained theoretical results.

Keywords

Basin of attraction Equilibrium points local stability Lyapunov function Prey-Predator.

33

Linear Feedback Shift Registers-Based Randomization for Image Steganography

Pages: 4131-4146 English

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Abstract

Steganography involves concealing information by embedding data within cover media and it can be categorized into two main domains: spatial and frequency. This paper presents two distinct methods. The first is operating in the spatial domain which utilizes the least significant bits (LSBs) to conceal a secret message. The second method is the functioning in the frequency domain which hides the secret message within the LSBs of the middle-frequency band of the discrete cosine transform (DCT) coefficients. These methods enhance obfuscation by utilizing two layers of randomness: random pixel embedding and random bit embedding within each pixel. Unlike other available methods that embed data in sequential order with a fixed amount. These methods embed the data in a random location with a random amount, further enhancing the level of obfuscation. A pseudo-random binary key that is generated through a nonlinear combination of eight Linear Feedback Shift Registers (LFSRs) controls this randomness. The experimentation involves various 512x512 cover images. The first method achieves an average PSNR of 43.5292 with a payload capacity of up to 16% of the cover image. In contrast, the second method yields an average PSNR of 38.4092 with a payload capacity of up to 8%. The performance analysis demonstrates that the LSB-based method can conceal more data with less visibility, however, it is vulnerable to simple image manipulation. On the other hand, the DCT-based method offers lower capacity with increased visibility, but it is more robust.

Keywords

DCT Embedding data Image security Information Hiding LFSR LSB Payload capacity. Randomness Spatial domain Frequency domain

34

Efficient Cloud-Based Resource Sharing Through Multi-Tenancy and Load Balancing: An Exploration of Higher Education and Digital Libraries

Pages: 4147-4159 English

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Abstract

Cloud computing has gained considerable attention in academia and industry in recent years. The cloud facilitates data sharing and enables cost efficiency, thus playing a vital role today as well as for the foreseeable future. In this paper, a brief discussion the application of multi-tenant and load-balancing technologies to cloud-based digital resource sharing suitable for academic and digital libraries is presented. As a new paradigm for digital resource sharing, a proposal of improving the current user service model with private cloud storage for other sectors, including the medical and financial fields is offered. This paper gives a summary of cloud computing and its possible applications, combined with digital data optimisation for web-based services. This study could aid in identification and generation of cloud-based services that use multi-tenant and load-balancing methodologies for the best quality of service.

Keywords

cloud storage; private cloud; public cloud; multi-tenant; single-tenant; load balancing; digital data.

35

Network Traffic Prediction Based on Time Series Modeling

Pages: 4160-4168 English

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Abstract

Predicting the network traffic of web pages is one of the areas that has increased focus in recent years. Modeling traffic helps find strategies for distributing network loads, identifying user behaviors and malicious traffic, and predicting future trends. Many statistical and intelligent methods have been studied to predict web traffic using time series of network traffic. In this paper, the use of machine learning algorithms to model Wikipedia traffic using Google's time series dataset is studied. Two data sets were used for time series, data generalization, building a set of machine learning models (XGboost, Logistic Regression, Linear Regression, and Random Forest), and comparing the performance of the models using (SMAPE) and (MAPE). The results showed the possibility of modeling the network traffic time series and that the performance of the linear regression model is the best compared to the rest of the models for both series.

Keywords

Computer Networks Machine Learning Algorithms network traffic modeling Time series XGboost.

36

Digital Watermarking, Methodology, Techniques, and Attacks: A Review

Pages: 4169-4186 English

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Abstract

The use of multimedia technology is growing every day, and it is difficult and time-consuming to provide allowed data while preventing secret information from being used without authorization. The material that has been watermarked can only be accessed by authorized users. Digital watermarking is a popular method for protecting digital data. The embedding of secret data into actual information is the subject of digital watermarking. This paper examines watermarking techniques, methodologies, and attacks, as well as the development of watermarking digital images stored in both the spatial and frequency domains.

Keywords

DCT DWT LSB SVD Watermarking

37

Intelligent Task Scheduling Using Bat and Harmony Optimization

Pages: 4187-4197 English

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Abstract

Cloud computing describes computer services provided through the internet and includes a wide range of virtualization resources. Because cloud computing is made up of a sizable number of heterogeneous autonomous systems with an adaptable computational architecture, it has been widely adopted by many businesses. The scheduling and management of resource utilization, however, have become more difficult as a result of cloud computing. Task scheduling is crucial, and this procedure must schedule tasks on the virtual machine while using the least amount of time possible. Utilizing an effective scheduling strategy enhances and expedites cloud computing services. Optimization techniques are used to resolve cloud scheduling problems. The purpose of this research is to address tasks distribution within the system to improve system performance overall and reduce task execution time. Two well-known optimization algorithms (the Bat, and Harmony search algorithms) were used in this approach as well as a combination approach Bat Algorithm Harmony Search ( BAHS ) that integrates the two. When compared to the other algorithms used for task scheduling, the (BAHS) method was chosen because it is flexible and produces effective results. Tests were run on a dataset that was created randomly. The suggested algorithm results were compared to the other popular algorithms in the field. The results show that the suggested swarm-based scheduling techniques can produce more accurate results than those of the competing algorithms in terms of the makespan , mean, and standard division.

Keywords

Bat algorithm. Cloud Computing harmony search algorithm Hybrid Optimization Algorithm Task Scheduling

38

IoT-Key Agreement Protocol Based on The Lowest Work-Load Versions of The Elliptic Curve Diffie-Hellman

Pages: 4198-4207 English

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Abstract

A key agreement protocol (KAP) is a fundamental block in any cryptosystem since it ensures secure communication between two parties. Furthermore, KAP should include advanced features in limited-resource environments such as IoT, in which this protocol must be lightweight and efficient in consuming resources. Despite the Elliptic Curve Diffie-Hellman (ECDH) algorithm having often been considered efficient in providing an acceptable security degree with less resource consumption, it has suffered from weakness against Man-In-The-Middle Attacks (MITMA). This paper presents two versions of the Variant Elliptic Curve Diffie-Hellman (VECDH) algorithms as a key agreement protocol. The security analysis indicates that the proposed algorithm could be more robust compared to the MITMA, in addition to several security features. The proposed algorithms scale down the computation complexity by decreasing the arithmetic operations, to make the algorithms the lowest workload and suitable for application in restricted resource environments.

Keywords

Elliptic Curve Cryptography IoT Key Agreement

39

Epidemiological Complex Networks: A Survey

Pages: 4208-4227 English

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Abstract

In this review paper, several research studies were surveyed to assist future researchers to identify available techniques in the field of infectious disease modeling across complex networks. Infectious disease modelling is becoming increasingly important because of the microbes and viruses that threaten people’s lives and societies in all respects. It has long been a focus of research in many domains, including mathematical biology, physics, computer science, engineering, economics, and the social sciences, to properly represent and analyze spreading processes. This survey first presents a brief overview of previous literature and some graphs and equations to clarify the modeling in complex networks, the detection of societies and their medical information, the identification of nodes, the method of communication with individuals and their spread, the analysis of their transmission through complex networks, and the detection of mathematical methods over the past century. Secondly, the types of epidemiological models and complex networks and the extent of their impact on humans are presented.

Keywords

Community Detection complex network Covid-19 Epidemiological Metadata

40

Community Detection in Modular Complex Networks Using an Improved Particle Swarm Optimization Algorithm

Pages: 4228-4243 English

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Abstract

Community detection is an important and interesting topic for better understanding and analyzing complex network structures. Detecting hidden partitions in complex networks is proven to be an NP-hard problem that may not be accurately resolved using traditional methods. So it is solved using evolutionary computation methods and modeled in the literature as an optimization problem. In recent years, many researchers have directed their research efforts toward addressing the problem of community structure detection by developing different algorithms and making use of single-objective optimization methods. In this study, we have continued that research line by improving the Particle Swarm Optimization (PSO) algorithm using a local improvement operator to effectively discover community structure in the modular complex networks when employing the modularity density metric as a single-objective function. The framework of the proposed algorithm consists of three main steps: an initialization strategy, a movement strategy based on perturbation genetic operators, and an improvement operator. The key idea behind the improvement operator is to determine and reassign the complex network nodes that are located in the wrong communities if the majority of their topological links do not belong to their current communities, making it appear that these nodes belong to another community. The performance of the proposed algorithm has been tested and evaluated when applied to publicly-available modular complex networks generated using a flexible and simple benchmark generator. The experimental results showed the effectiveness of the suggested method in discovering community structure over modular networks of different complexities and sizes.

Keywords

Community Detection Modular networks Particle Swarm Optimization algorithm Solution improvement operator.

41

Review of Smishing Detection Via Machine Learning

Pages: 4244-4259 English

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Abstract

Smishing is a cybercriminal attack targeting mobile Short Message Service (SMS) devices that contains a malicious link, phone number, or email. The attacker intends to use this message to steal the victim's sensitive information, such as passwords, bank account details, and credit cards. One method of combating smishing is to raise awareness and educate users about the various tactics used by SMS phishers. But even so, this method has been criticized for becoming inefficient because smishing tactics are continually evolving. A more promising anti-smishing method is to use machine learning. This paper introduces a number of machine learning algorithms that can be used for detecting smishing. Furthermore, the differences and similarities among them as well as the pros and cons of each are presented to support future research into more effective anti-smishing solutions for securing mobile devices from cyber criminals.

Keywords

anti-smishing heuristic machine learning Phishing smishing

42

Extracting Descriptive Frames from Informational Videos

Pages: 4260-4277 English

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Abstract

Informational videos are becoming increasingly important among all video types.
The users spend so much time browsing the informative videos, even if they are not
interested in all their topics. Thence, a new method for extracting descriptive frames
is presented in this paper that allows users to navigate directly to the topics of their
interest in the video. The proposed method consists of three main phases: video
preprocessing, video segmentation, and the video separation phase. Firstly, frames are
extracted from the videos, resized, and converted to grayscale. Then, the frames are
divided into blocks, and the kurtosis moment is calculated for each block. The videos
are segmented based on an examination of the differences between the features of the
kurtosis moment. Lastly, the informative frames are grouped into a separate video
after they are distinguished from the uninformative ones using the clustering
technique. The results demonstrated the functional effectiveness of the proposed
method. According to the accuracy and F1-Score measures, it has a performance of
up to 100%. Moreover, the video is significantly summarized by reducing the duration
to less than 1% of its original time.

Keywords

Informational videos kurtosis Moment order Skewness Video summarization.

43

Assessment of Outer Space Events on Troposphere and Climate Change over Iraq

Pages: 4278-4289 English

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Abstract

The aim of the study is to investigate the effects of space weather on the troposphere, where our climate exists. This work is useful to give us an idea of the interaction between solar activity and some meteorological parameters. The sunspot number (SSN) data were extracted from the World Data Center for the production, preservation, and dissemination of the international sunspot number (SILSO), top net solar radiation (TSR) and temperature 2 meters from the ERA5 model of the Copernicus Climate Change Service (C3S) from the Climate Data Store with 0.25 grid Resolution, providing a rich source of climate data for researchers. This study was conducted from 2008 to 2021 (solar cycle 24 and the beginning of 25) over Iraq located within latitude (38°N-28°S) and longitude (38°W- 49°E). The results that have been reached were a decrease in solar activity in solar cycle 24, accompanied by an increase in the length of the solar cycles, and there was a direct proportion between TSR and temperature. TSR and temperature had almost similar spatial distribution over Iraq. The northern regions received the least amounts, while from the middle toward the southeast regions, they received the highest amount of TSR and temperature over Iraq. There was a reverse regression between sunspot numbers with TSR and positive regression with temperature, but the correlation was not significant.

Keywords

Sunspots; Troposphere; Solar radiation; Outer space; Solar cycles

44

Evaluation of Climate Change Indicators for Bagdad City Using Remote Sensing Technology

Pages: 4290-4301 English

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Abstract

Climate change is a severe problem due to the continuous dynamic changes in urbanization in cities, and reaching it requires high-resolution spatial data represented by using remote sensing technology, as the data of the Space Science Network of NASA was relied on to measure the change in the climate of Baghdad city for a period of four decades 1981-2021, using the climate change equation referred to in the research and then tabulating the data in Excel. The results showed evident changes in the climatic rates, especially during the fourth time cycle; the high rates of temperature and low rates of relative humidity and precipitation indicate that the city’s climate is heading towards drought, and similarities appeared between the rates of atmospheric pressure and wind speed at the height of 10 m in terms of stability and slope.

Keywords

Baghdad Climate change climate databases for NASA Power Network Remote sensing

45

An Application for Smartphones and Computers to Diagnose and Control Potatoes Insects

Pages: 4302-4311 English

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Abstract

Nowadays, a strong relationship between the agriculture sectors and digital technologies is really interesting. The article describes how recent intelligent technologies can improve agricultural fields. Mobile applications are software programs created on smartphones, tablets, and computers. Agricultural fields mainly represent the pillar of the economy and the business sector that fulfills the world's food requirements. The United States has a valuable rank in potato production, which depends on this production economically. Nevertheless, so many insects affect potato yield production quantitatively and qualitatively. So, a smartphone App was created to help potato growers diagnose insects that directly attack potato crops and treat them. The created App focuses on a list of the common insects that attack potato crops in Maine State. App Inventor Platform, run by the Massachusetts Institute of Technology (MIT), was used to develop the application. Insect images and insecticides information were collected from the Cooperative Extension Department at Presque Isle City, Aroostook County, Maine, USA. The App provides essential details regarding insect types, life cycles, where they are coming from, and the time of attacking the plants. The App includes a list of effective insecticides that control insects. The App also provides helpful instructions concerning trade names, dose per acre of insecticides, and whether it should be applied to soil or plant leaves. Money and time are saved by applying this App since farmers do not need to spend time collecting samples and bringing them to the lab.

Keywords

App Inventor Insect MIT Potato smart agriculture