31 research outputs found

    The Effect of Twitter in Academic Achievement and Students’ Motivation toward Mathematics

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    The purpose of this quasi-experimental study was to determine the effectiveness of Twitter when used in conjunction with a non-traditional type of educational approach referred to as the “flipped classroom method” upon the academic achievement of 12th grade students and their learning motivation towards mathematics. The study used a quantitative approach, and the sample consisted of 48 students. The study was conducted during a three-week period in two public high schools in Abha, Saudi Arabia. The first hypothesis was that the use of Twitter would improve academic performance in mathematics. The second hypothesis was that learning in a flipped classroom via Twitter would lead to an improvement in math performance but that this improvement within the flipped classroom would differ across gender. The third hypothesis was that learning in a flipped classroom via Twitter would lead to more positive attitudes towards mathematics. The findings did not support the first or the second hypotheses; when used in the context of a flipped classroom approach, Twitter, did not improve academic achievement: F(1, 46) = .49, p = .486.  Improvement in academic achievement from pretest to posttest also did not differ across gender; F(1, 44) = .00, p = .963. However, the results did support the third hypothesis; within the flipped classroom, the improvement in motivation was stronger for girls than it was for boys; F(1, 22) = 51.32, p < .001

    Seroprevalence of SARS-CoV-2 (COVID-19) among Healthcare Workers in Saudi Arabia: Comparing Case and Control Hospitals

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    Healthcare workers (HCWs) stand at the frontline for fighting coronavirus disease 2019 (COVID-19) pandemic. This puts them at higher risk of acquiring the infection than other individuals in the community. Defining immunity status among health care workers is therefore of interest since it helps to mitigate the exposure risk. This study was conducted between May 20th and 30th, 2020. Eighty-five hospitals across Kingdom of Saudi Arabia were divided into 2 groups: COVID-19 referral hospitals are those to which RT-PCR-confirmed COVID-19 patients were admitted or referred for management (Case-hospitals). COVID-19 nonaffected hospitals where no COVID-19 patients had been admitted or managed and no HCW outbreak (Control hospitals). Next, seroprevalence of severe acute respiratory syndrome coronavirus 2 among HCWs was evaluated; there were 12,621 HCWs from the 85 hospitals. There were 61 case-hospitals with 9379 (74.3%) observations, and 24 control-hospitals with 3242 (25.7%) observations. The overall positivity rate by the immunoassay was 299 (2.36%) with a significant difference between the case-hospital (2.9%) and the control-group (0.8%) (P value <0.001). There was a wide variation in the positivity rate between regions and/or cities in Saudi Arabia, ranging from 0% to 6.31%. Of the serology positive samples, 100 samples were further tested using the SAS2pp neutralization assay; 92 (92%) samples showed neutralization activity. The seropositivity rate in Kingdom of Saudi Arabia is low and varies across different regions with higher positivity in case-hospitals than control-hospitals. The lack of neutralizing antibodies (NAb) in 8% of the tested samples could mean that assay is a more sensitive assay or that neutralization assay has a lower detection limits; or possibly that some samples had cross-reaction to spike protein of other coronaviruses in the assay, but these were not specific to neutralize severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

    Measurement of the W boson polarisation in ttˉt\bar{t} events from pp collisions at s\sqrt{s} = 8 TeV in the lepton + jets channel with ATLAS

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    Measurement of jet fragmentation in Pb+Pb and pppp collisions at sNN=2.76\sqrt{{s_\mathrm{NN}}} = 2.76 TeV with the ATLAS detector at the LHC

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    Search for new phenomena in events containing a same-flavour opposite-sign dilepton pair, jets, and large missing transverse momentum in s=\sqrt{s}= 13 pppp collisions with the ATLAS detector

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    Measurements of top-quark pair differential cross-sections in the eμe\mu channel in pppp collisions at s=13\sqrt{s} = 13 TeV using the ATLAS detector

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    Students’ perceptions in undergraduate online math courses

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    AbstractThe purpose of this qualitative study was to understand how undergraduate math students perceive their learning in an online learning environment. A review of the literature revealed a need for additional qualitative research on the perceptions of students in the online learning environment. The specific elements of interest were technology, communication, and assessment. The study used a qualitative descriptive case study design. Purposive sampling was used to sample six online undergraduate math students. Online questionnaires and follow-up interviews provided data for analysis. Interpretive analysis highlighted emergent themes to form a true representation of students’ perceptions. The results revealed that students perceived technology as a supportive tool that could not replace the need for teacher–student interaction and engagement. In addition, online students perceived communication as an essential classroom element. Participants considered online assessment measures ineffective without useful feedback. Educational stakeholders could use the study’s findings to make informed instructional design decisions that could increase student success rates in undergraduate online math courses. Also, researchers might use the study findings to identify instructional elements that could potentially lead to increased learning gains

    Subjective Happiness Assessment among Taif University Medical Students

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    Abstract Happiness is a very important factor in human life, it is due to happiness that a person can perform tasks in a better or worse way, as it can affect performance. It also could be affected by different factors including study load, smoking, marital status, income, exercise, and study habits. Medical students in particular are subject to have many factors that could influence their happiness level. We conducted a cross-sectional study of 605 medical students at Taif University, Taif, Saudi Arabia that was conducted between August and November of 2015. Students filled a questioner that includes demographic data and validated questions to assess the subjective happiness [the Subjective Happiness Scale (SHS)]. We classified students into happy and unhappy groups according to the score achieved. Those who achieved score more than median were considered to be happy. The primary goal is to assess the level happiness and it&apos;s relation to the level of the students, gender, income, study habits, and lifestyle habits. According to the SHS, more students were classified as unhappy (54.4%). The 2nd and 3rd year groups were more likely to be happy (p 0.106). Engaged students were more likely to be happy compared to those who were single or married (p 0.323). Happy students tend to have non-significant higher mean GPA. Happy students were more likely to be younger and reports high/middle income compared to the unhappy group (p &lt;0.05). Those who do exercise for at least 30 min were more likely to be happy compared to those who reports sedentary lifestyle (p 0.146). Students study habits didn&apos;t impact the happiness level (p 0.953). According to SHS, more students were considered to be unhappy. The 2nd and 3rd year groups were happier than the other years. Happy students were more likely to be male, younger, engaged, reports high/middle income, higher GPA and exercise more

    Polycystic Ovarian Syndrome: A Complex Disease with a Genetics Approach

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    Polycystic ovarian syndrome (PCOS) is a complex endocrine disorder affecting females in their reproductive age. The early diagnosis of PCOS is complicated and complex due to overlapping symptoms of this disease. The most accepted diagnostic approach today is the Rotterdam Consensus (2003), which supports the positive diagnosis of PCOS when patients present two out of the following three symptoms: biochemical and clinical signs of hyperandrogenism, oligo, and anovulation, also polycystic ovarian morphology on sonography. Genetic variance, epigenetic changes, and disturbed lifestyle lead to the development of pathophysiological disturbances, which include hyperandrogenism, insulin resistance, and chronic inflammation in PCOS females. At the molecular level, different proteins and molecular and signaling pathways are involved in disease progression, which leads to the failure of a single genetic diagnostic approach. The genetic approach to elucidate the mechanism of pathogenesis of PCOS was recently developed, whereby four phenotypic variances of PCOS categorize PCOS patients into classic, ovulatory, and non-hyperandrogenic types. Genetic studies help to identify the root cause for the development of this PCOS. PCOS genetic inheritance is autosomal dominant but the latest investigations revealed it as a multigene origin disease. Different genetic loci and specific genes have been identified so far as being associated with this disease. Genome-wide association studies (GWAS) and related genetic studies have changed the scenario for the diagnosis and treatment of this reproductive and metabolic condition known as PCOS. This review article briefly discusses different genes associated directly or indirectly with disease development and progression

    Nanotechnology as a Novel Approach in Combating Microbes Providing an Alternative to Antibiotics

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    The emergence of infectious diseases promises to be one of the leading mortality factors in the healthcare sector. Although several drugs are available on the market, newly found microorganisms carrying multidrug resistance (MDR) against which existing drugs cannot function effectively, giving rise to escalated antibiotic dosage therapies and the need to develop novel drugs, which require time, money, and manpower. Thus, the exploitation of antimicrobials has led to the production of MDR bacteria, and their prevalence and growth are a major concern. Novel approaches to prevent antimicrobial drug resistance are in practice. Nanotechnology-based innovation provides physicians and patients the opportunity to overcome the crisis of drug resistance. Nanoparticles have promising potential in the healthcare sector. Recently, nanoparticles have been designed to address pathogenic microorganisms. A multitude of processes that can vary with various traits, including size, morphology, electrical charge, and surface coatings, allow researchers to develop novel composite antimicrobial substances for use in different applications performing antimicrobial activities. The antimicrobial activity of inorganic and carbon-based nanoparticles can be applied to various research, medical, and industrial uses in the future and offer a solution to the crisis of antimicrobial resistance to traditional approaches. Metal-based nanoparticles have also been extensively studied for many biomedical applications. In addition to reduced size and selectivity for bacteria, metal-based nanoparticles have proven effective against pathogens listed as a priority, according to the World Health Organization (WHO). Moreover, antimicrobial studies of nanoparticles were carried out not only in vitro but in vivo as well in order to investigate their efficacy. In addition, nanomaterials provide numerous opportunities for infection prevention, diagnosis, treatment, and biofilm control. This study emphasizes the antimicrobial effects of nanoparticles and contrasts nanoparticles&rsquo; with antibiotics&rsquo; role in the fight against pathogenic microorganisms. Future prospects revolve around developing new strategies and products to prevent, control, and treat microbial infections in humans and other animals, including viral infections seen in the current pandemic scenarios
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