Factors for minimizing cyber harassment among university students: Case study in Kingdom of Saudi Arabia (KSA)

This study attempted to mitigate the gap in literature concerning a one serious problem in Saudi society and government is cyber harassment. This problem is caused through the increasing use of technology. Accordingly, the main objective was to explore the factors that influence the intention to minimize cyber harassment among Saudi citizen. In this research were employed two theories the first Theory of Planned Behavior (TPB), the second selected Technology Acceptance Model TAM. However, based on TPB, the researcher has identified eight factors, to minimize cyber harassment, which is: technological support, attitude, subjective norms, social pressure, the influence of the mass media, perceived behavioral control, regulatory support and the role of the government, and security awareness. Nevertheless, the researcher has assured that the Saudis will remain at risk of cyber harassment, until these factors are fully investigated among the Saudi community. In conclusion, this research specifically proposed in future a model and framework for identifying the significant factors that are anticipated to play a major in minimizing cyber harassment among Saudis. The proposed framework will help the administration and decision-makers in the KSA to formulate strategies that can significantly affect anti-cyber harassment among youths

Integrated-system to minimizing cyber harassment in kingdom of Saudi Arabia (KSA)

The proposed system framework consists two main databases: Lexicon dictionary and Summarized previous cases, by depending on Sentiment analysis and N-Gram algorithms to match the terms and documents. In the first branch, the judge opens the cyber case and therefore the system will highlight the technical terms automatically. Furthermore, the technical terms matched with Lexicon dictionary will be highlighted. After that, the judge opens the highlighted terms (as links), and description page will be appeared. The description page contains details about the technical terms (definitions, explanations, examples, etc). On the other side, the second branch aims to retrieve the related legal cases (from the database) judged by courts in UK and KSA. The related cases are the most closed cases to the current legal case by inserting keywords based on the current case. The judge benefits from these cases through the judgment issued to give the fair judgment. N-gram algorithm is used to find the related cases because it has smart approach to expect the most closed document and texts. The system provides the judge with laws used in issuing the judgment in KSA and UK courts

Develop a model to measure the ethical effects of students through social media use

Social media users can be negatively affected by cyber harassment. These effects can cause emotional distress and lead people to stop using social network sites or to end their life. In addition, the users of this technology usually get upset when network providers interfere and consider such interference to be unfair. Therefore, this paper attempted to mitigate the gap in the literature concerning the use of social media for engaging in cyber harassment in the context of higher education. Therefore, the main objective was to develop a model that will bridge this gap. The model developed in this paper is based on the unified theory of acceptance and use of technology, theory of planned behavior, and technology support. To achieve the study's objectives, a questionnaire was used as the main data collection method, and it was distributed to 340 students who used social media. This paper argues that these decisions of interference can be handled by employing a method that users find sufficient and appropriate. In conclusion, this research specifically proposes a model for identifying the significant factors that are anticipated to play major roles in minimizing cyber harassment among Saudi students. The proposed model will help administrations and decision makers to formulate strategies that can significantly affect anti-cyber harassment among students

Cyber harassment prevention through user behavior analysis online in kingdom of Saudi Arabia (KSA)

This research attempted to mitigate the gap in literature concerning a one serious problem in Saudi society and government is cyber harassment. This problem is caused through the increasing use of technology. Accordingly, the main objective was to explore the factors that influence the intention to minimize cyber harassment among Saudi citizen. Nevertheless, the researcher has assured that the Saudis will remain at risk of cyber harassment, until these factors are fully investigated among the Saudi community. In conclusion, this research specifically proposed in future a model and framework for identifying the significant factors that are anticipated to play a major in minimizing cyber harassment among Saudis. The proposed framework will help the administration and decision-makers in the KSA to formulate strategies that can significantly affect anti-cyber harassment among youths

A model of factors affecting cyber bullying behaviors among university students

This paper attempts to mitigate this gap within the literature concerning the use of social media for cyber engagement (CE) among students. Since students often become upset when network providers intervene, this paper aims to develop a model to measure ethics issues related to engagement with social media. The conducted survey examines social media use with regard to cyber engagement, cyberbullying behaviors, and being bullied, harassed, and stalked. To achieve the objective, this paper employed a questionnaire as the main data collection method and distributed it to 242 students, all of whom use social media. The findings were obtained via a quantitative research method, structural equation modeling, and partial least squares. The findings from our empirical study indicate that the assessment of discriminant validity has become an extensively acknowledged requirement for the analysis of latent variables' relationships. Goodness of fit indices demonstrates a good fit of the model. Roughly more than half of students indicated they had been bullied, harassed, and stalked online. The proposed model will help campus administration and decision makers to formulate strategies that can significantly reduce cyber harassment among students

Severity and prevalence of allergic rhinitis among school children, Jazan Region Saudi Arabia

Background: Allergic diseases such as allergic rhinitis (AR) represent a global health problem, affecting 10–25% of the world population. There is clear evidence to support the concept that allergic diseases are influenced by genetic predisposition and environmental exposure. Objectives: To assess the severity and prevalence of AR among school children in Jazan Region, Saudi Arabia. Methods: This is a cross-sectional study using a modified International Study of Asthma and Allergies in Children (ISAAC) questionnaire. Results: The nasal blocking is considered to be one of the most common symptoms of AR. Regarding the frequency of AR-related symptoms which indicate severity in the last 12 months according to the gender, our statistical analysis results found that the severity regarding nasal symptoms varied from nasal block to disturbed sleep due to nasal block where 97 (6.9%) had nasal block, 109 (7.8%) had nasal block interfering with daily activities, 12.1% had nasal block resulting in breathing difficulties, and 67 (4.7%) had disturbed sleep due to nasal block/problem. About 258 (18.4%) of all population urgently visited the emergency department due to nasal problems. Sixty-four (4.5%) were admitted due to nasal problems and 92 (6.6%) missed school days due to nasal block. The prevalence in elementary and intermediate school was 209 (14.9) and 170 (12.2), respectively with P value of 0.013, according to gender of study population showed no statistical significance according to all parameters. The prevalence was higher among Saudi population, regarding education level the prevalence was higher among intermediate school children. Conclusion: In conclusion, it was clear that the prevalence of AR among Saudi school children is 27.1%. Living in urban areas, intermediate school education level, lowlander population are significant risk factors for the prevalence and severity of AR

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AN OVERVIEW NEONATAL HYPOGLYCEMIA MANAGEMENT APPROACHES

Background: Hypoglycemia remains to stand for a usual metabolic problem dealing with the neonatal populace. Both healthy and ill-appearing neonates could be impacted by hypoglycemia throughout the very first days of life. Severe neonatal hypoglycemia (HG) leads to neurologic damage, mental retardation, epilepsy, personality disorders, impaired cardiac performance and muscle weakness. Objective: The goal of this review is to highlight the background of the inborn errors of metabolism that present with neonatal hypoglycemia to understand more and discuss management of neonatal hypoglycemia. Methodology: We conducted a search using electronic databases; MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL), up to November, 2018. Conclusion: Neonatal HG is important factor in the general neonatal death. HG could additionally create serious invalidity. Treatment of the hypoglycemic infant may begin while investigations continu