9 research outputs found

    Attitude of Saudi Female Math Teachers toward Integrating E-learning in Teaching Math at High Schools in Saudi Arabia

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    Leaders in government and education have launched an extensive program to reform general education in Saudi Arabia. This initiative was designed to achieve many goals with a major emphasis being the enhancement of the Saudi curriculum to take advantage of the use of technology to improve education. A goal of this project was for e-learning to be a part of public education in an attempt to improve student learning and to make education accessible to all citizens.;This study was designed to examine high school female math teachers\u27 attitudes toward the use of e-learning in teaching mathematics in selected high schools in Tabuk, Saudi Arabia. It also sought to determine the extent to which e-learning had been adopted in high schools. The study also examined the results to determine if there were any statistically significant differences in female math teachers\u27 attitudes toward e-learning based on the variables of academic degree, years of experience, computer course training, and computer lab availability.;A 5-point Likert scale questionnaire was used to collect data on teacher attitudes toward the use of e-learning in education. Descriptive statistics were used to analyze much of the data generated from the questionnaire. Means, standard deviations, ranges, frequencies, percentages, and diagrams were used to compile and analyze the data. A t-test was used to test for statistically significant differences in teachers\u27 attitudes for the variables of academic degree, years of experience, computer course training, and computer lab availability.;The analysis of the responses to the questionnaire revealed that the female high school math teachers\u27 attitudes toward the use of e-learning were highly positive. The mean responses to the questionnaire items revealed that the teachers believed that e-learning made teaching more effective, more interesting, and enhanced the quality of teaching. There was general agreement that e-learning helped them meet the individual needs of the learners. The results of the study revealed that there were no statistically significant differences in teachers\u27 attitudes toward e-learning when examined for the variables of academic degree, years of teaching experience, computer course training, and computer lab availability. Recommendations were made for professional development, in-service training, technology integration, and logistics and infrastructure improvement

    Assessment and Validation of Globodera pallida as a Novel In Vivo Model for Studying Alzheimer’s Disease

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    Publication history: Accepted - 11 September 2021; Published online - 19 September 2021.Background: Whole transgenic or non-transgenic organism model systems allow the screening of pharmacological compounds for protective actions in Alzheimer’s disease (AD). Aim: In this study, a plant parasitic nematode, Globodera pallida, which assimilates intact peptides from the external environment, was investigated as a new potential non-transgenic model system of AD. Methods: Fresh second-stage juveniles of G. pallida were used to measure their chemosensory, perform immunocytochemistry on their neurological structures, evaluate their survival rate, measure reactive oxygen species, and determine total oxidized glutathione to reduced glutathione ratio (GSSG/GSH) levels, before and after treatment with 100 µM of various amyloid beta (Aβ) peptides (1–40, 1–42, 17–42, 17–40, 1–28, or 1–16). Wild-type N2 C. elegans (strain N2) was cultured on Nematode Growth Medium and directly used, as control, for chemosensory assays. Results: We demonstrated that: (i) G. pallida (unlike Caenorhabditis elegans) assimilates amyloid-β (Aβ) peptides which co-localise with its neurological structures; (ii) pre-treatment with various Aβ isoforms (1–40, 1–42, 17–42, 17–40, 1–28, or 1–16) impairs G. pallida’s chemotaxis to differing extents; (iii) Aβ peptides reduced survival, increased the production of ROS, and increased GSSG/GSH levels in this model; (iv) this unique model can distinguish differences between different treatment concentrations, durations, and modalities, displaying good sensitivity; (v) clinically approved neuroprotective agents were effective in protecting G. pallida from Aβ (1–42) exposure. Taken together, the data indicate that G. pallida is an interesting in vivo model with strong potential for discovery of novel bioactive compounds with anti-AD activity.N.A.A. received a PhD studentship from Shaqra University, KSA and the Saudi Cultural Bureau in London (UKSACB). B.D.G.’s laboratory has received support for AD research from Alzheimer’s Research UK (ARUK-NC2019-NI), the Medical Research Council (MRC) (CIC-CD1718- CIC25), US-Ireland Health and Social Care NI (HSC R&DST/5460/2018) and InvestNI (RD101427 11-01-17-008). This work was also supported by Shaqra University, Saudi Arabi

    Response of Moringa oleifera Seeds and Fixed Oil Production to Vermicompost and NPK Fertilizers under Calcareous Soil Conditions

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    A shortages of soil nutrients resources and a lack of accessibility to them especially in calcareous soil are considered some of the main factors that limit plant production. In particular, the cultivation of the Moringa oleifera trees in this type of soil is of special interest given the increasing demand for every part of this tree. Several studies have focused on the production of its leaves as an herbaceous plant and not as a tree, but there has not been extensive research on its pods, seeds, and fixed oil production. In this sense, in this study, we provide an assessment of the use of fertilizers, vermicompost and NPK (as traditional minerals and as nanoparticles), in order to improve pods, seeds, and fixed oil contents, as indicators of the quality of the production of the Moringa oleifera trees in calcareous soil conditions. In this experiment, it was observed that all parameters and the yield of pods, seeds, and fixed oil of the Moringa oleifera tree were significantly improved by increasing the level of vermicompost and using NPK fertilization and combination treatments in both seasons of the study. The combination treatments of 10 and 20 ton ha−1 vermicompost plus NPK control produced the highest percentage of oleic acid with insignificant differences between them

    Maximizing Leaves, Inflorescences, and Chemical Composition Production of <i>Moringa oleifera</i> Trees under Calcareous Soil Conditions

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    One of the main issues limiting plant productivity is a lack of soil nutrient resources, especially in calcareous soil, which covers more than one third of the world’s land surface area. On the other hand, despite rising demand for all parts of the Moringa oleifera tree, several studies have focused on its leaf production as an herbaceous plant, rather than as a tree, and no extensive research has been carried out on leaf and inflorescence production in the mature tree. As a result, the influence of vermicompost and NPK (minerals and nanoparticles), as well as their combination, under calcareous soil conditions, was investigated in this study. The experiment was set up as a split plot in Randomized Complete Block Design (RCBD) with three replicates. In both seasons considered in this study, it was discovered that increasing the quantity of vermicompost and employing NPK fertilization, as well as their combination treatments, greatly enhanced all parameters and yield of distinct Moringa oleifera tree parts. Furthermore, the combination treatment T21 yielded the highest mean values of growth, leaves, and chemical composition parameters, as well as the highest yield from the Moringa oleifera tree. In both seasons, the highest number of inflorescences per tree, as well as the yield of fresh and dry inflorescences, was measured using combination treatment T18. In both seasons, however, increasing the level of vermicompost, NPK, and their combination treatments significantly reduced the total phenolic and flavonoid content and antioxidant activity of dry Moringa oleifera leaves

    Response of Growth, Yield, and Phytochemical Behavior of Jojoba Genotypes to Azolla filiculoides Plant Extract

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    A unique storage lipid wax found in jojoba seeds can be employed as a chemical feedstock. Alternative safe and natural sources of plant nutrients are constantly sought to preserve both human health and the environment. As a result, EAI1, EAI2, and EAI3 jojoba genotypes&rsquo; growth, yield, and phytochemical behavior in response to Azolla extract at concentrations of 0, 10, and 30% were studied. Maximum productivity was found with EAI1, followed by EAI3 then EAI2 across all Azolla extracts. In relation to the Azolla extract concentrations in the two seasons, the concentration of 30% delivered the most pronounced results across all the studied genotypes. During the two seasons, administration of a combined treatment of the EAI1 jojoba genotype with 30% Azolla extract produced the highest mean values of growth, flowering, and fruiting, as well as chemical composition parameters. This means that the treatment of EAI1 genotype with 30% Azolla filiculoides Lam. plant extract yielded the highest significant seed yield (3748 and 3839 kg ha&minus;1) and oil yield per hectare (1910 and 2002 L ha&minus;1). The combination treatment of the EAI1 jojoba genotype with 10% Azolla extract yielded the highest proportion of gadoleic fatty acid (49.83%)

    Formation of resistant starch and cracker products from leftover rice in Saudi Arabia

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    Food leftovers are a worldwide concern and the Food and Agriculture Organization reported about 400 billion USD worth of food is wasted yearly. In the Kingdom of Saudi Arabia, food waste is increasing; the loss is about 33.6% of the rice commodity only. To achieve sustainable development goals including zero hunger and sustainable consumption, the current investigation aimed to study the recycling possibilities of rice leftovers through the production of resistant starch (a nutraceutical active component). Proximate analysis, in vitro digestibility (rapidly, slowly, and resistant starches), and conformational techniques (SEM, FTIR, and DSC) were accomplished before and after treating heated or not samples with acetic, citric, and tartaric acids. Also, crackers were produced from rice starch and its sensory evaluations were completed. Results reported variations in starch content between the controls and acid treatments, but interestingly, amounts of protein, and fiber were not different. The highest production of resistant starch (more than 35%) was when treated with tartaric acid and heat treatment, followed by citric acid and heat treatment (32.5%), then acetic acid and heat treatment (28%). The FTIR pictograms revealed the acetylation of heat and acid-treated rice samples. The gelatinization enthalpy (ΔH) decreased from 10.51 to 7.81 J/g for control and treated rice by acetic acid without heat. Surprisingly, the panelists reported no differences in the sensory evaluations of crackers produced from treated rice with a high content of resistant starch, which considered as functional food. These findings help achieve food sustainability through commercial-scale functional food production

    Relationship between KIR genotypes and HLA-ligands with SARS-CoV-2 infection in the Saudi population

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    Aim: To ascertain whether killer cell immunoglobulin-like receptors (KIR) genes polymorphisms and HLA-I ligands are associated with COVID-19 in Saudi Arabia. Methods: Eighty-seven COVID-19 patients who tested positive for SARS-CoV-2 and one hundred and fourteen healthy controls were enrolled in this study for genotyping of the 16 KIR genes, HLA-C1 and -C2 allotypes and HLA-G 14-bp indels polymorphisms using the sequence specific primer polymerase chain reaction (SSP-PCR) method. KIR genotype frequency differences and combination KIR-HLA-C ligand were tested for significance. Results: Framework genes KIR2DL4, KIR3DL2, KIR3DL3, and KIR3DP2 were present in all individuals. The frequencies of KIR2DL2 and KIR2D4 were higher in COVID-19 positive patients than in healthy individuals. The frequencies of the combination KIR2DL2-HLA-C2 was also significantly higher in patients affected by COVID-19 compared with healthy controls. Conclusion: It was found that the inhibitory KIR2DL2 gene in isolation or combined with its HLA-C2 ligand could be associated with susceptibility to COVID-19 in the Saudi population

    Antiapoptotic Gene Genotype and Allele Variations and the Risk of Lymphoma

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    Background: The findings of earlier investigations of antiapoptotic gene genotypes and allele variants on lymphoma risk are ambiguous. This study aimed to examine the relationship between the mutation in the antiapoptotic genes and lymphoma risk among Saudi patients. Methods: This case&ndash;control study included 205 patients, 100 of whom had lymphoma (cases) and 105 who were healthy volunteers (controls). We used tetra amplification refractory mutation polymerase chain reaction (PCR) to identify antiapoptotic genes such as B-cell lymphoma-2 (BCL2-938 C &gt; A), MCL1-rs9803935 T &gt; G, and survivin (BIRC5-rs17882312 G &gt; C and BIRC5-rs9904341 G &gt; C). Allelic-specific PCR was used to identify alleles such as BIRC5-C, MCL1-G, and BIRC5-G. Results: The dominant inheritance model among cases showed that mutations in all four antiapoptotic genes were more likely to be associated with the risk of lymphoma by the odds of 2.0-, 1.98-, 3.90-, and 3.29-fold, respectively, compared to controls. Apart from the BCL-2-A allele, all three specified alleles were more likely to be associated with lymphoma by the odds of 2.04-, 1.65-, and 2.11-fold, respectively. Conclusion: Unlike healthy individuals, lymphoma patients are more likely to have antiapoptotic gene genotypes and allele variants, apart from BCL-2-A alterations. In the future, these findings could be used to classify and identify patients at risk of lymphoma

    Antiapoptotic Gene Genotype and Allele Variations and the Risk of Lymphoma

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    Background: The findings of earlier investigations of antiapoptotic gene genotypes and allele variants on lymphoma risk are ambiguous. This study aimed to examine the relationship between the mutation in the antiapoptotic genes and lymphoma risk among Saudi patients. Methods: This case–control study included 205 patients, 100 of whom had lymphoma (cases) and 105 who were healthy volunteers (controls). We used tetra amplification refractory mutation polymerase chain reaction (PCR) to identify antiapoptotic genes such as B-cell lymphoma-2 (BCL2-938 C > A), MCL1-rs9803935 T > G, and survivin (BIRC5-rs17882312 G > C and BIRC5-rs9904341 G > C). Allelic-specific PCR was used to identify alleles such as BIRC5-C, MCL1-G, and BIRC5-G. Results: The dominant inheritance model among cases showed that mutations in all four antiapoptotic genes were more likely to be associated with the risk of lymphoma by the odds of 2.0-, 1.98-, 3.90-, and 3.29-fold, respectively, compared to controls. Apart from the BCL-2-A allele, all three specified alleles were more likely to be associated with lymphoma by the odds of 2.04-, 1.65-, and 2.11-fold, respectively. Conclusion: Unlike healthy individuals, lymphoma patients are more likely to have antiapoptotic gene genotypes and allele variants, apart from BCL-2-A alterations. In the future, these findings could be used to classify and identify patients at risk of lymphoma
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