Scientific research in Saudi Arabia’s universities has undergone significant changes in recent years with the speed of higher education expansion and the opening of new universities. Artificial intelligence (AI) can be applied to existing data analysis processes to enhance pattern recognition and to support advanced data analysis. This study aimed to investigate the obstacles to activating the role of university instructors and students in joint scientific research. The study also aimed to evaluate joint scientific research between university teachers and students in universities, as well as the mechanisms for activating joint scientific research among male and female students in health and humanities science within Saudi universities, to enhance creation and invention achievements. To determine the obstacles to activating scientific research roles between students and tutors in Saudi universities using AI, a simple random sampling technique was adopted for this study. A well-structured questionnaire was administered to 250 respondents affiliated with universities in Saudi Arabia. The data collected were statistically analyzed with the aid of the Statistical Package for Social Science (SPSS) version 20. The results of this study revealed that the objectives of joint scientific research between university teachers and students in universities have a significant positive predictor of obstacles to activating the role of teachers in joint scientific research with students in Saudi universities. The study also showed that there was a statistically significant correlation (p value = 0.00) between each of the variables.

The current study aims to identify unhealthy behaviors among university students, establish means of detection of unhealthy behavior, identify obstacles to digital volunteering, and explore the relationship between volunteer preferred style of volunteering and the obstacles to volunteering. Data for the study was gathered by administering an unstructured, anonymous questionnaire to 207 female university students and staff. The survey design included questions about sociodemographic characteristics, views on different facets of volunteering, unhealthy behaviors, and correlation between volunteering and unhealthy behaviors. The results revealed unhealthy behavior detected by the respondents (51.7%). Twenty-eight (13.5%) of the 207 respondents reported using social media in detecting women with offending behavior. The value of Pearson’s R is 0.245; thus, it is considered as weak or no correlation. There is hence no correlation between how respondents preferred volunteer work and the obstacle to volunteering. There is not much difference in the obstacles to volunteering faced by respondents despite their preferred style of volunteering. The findings reveal that digital volunteering effectively gains ground in detecting and managing unhealthy behaviors among university students. Much more could be achieved through digital volunteering if more awareness is created and volunteering programs are designed to be more interesting and less time-consuming to allow more students to participate.

Autism (ASM) is a group of neurodevelopmental condition capable of being diagnosed very early in childhood with variety of symptoms such as inability to communicate effectively, aggressive behaviour, and abnormal repetitive routines. The review compares the treatment of ASM with alternative modalities and pharmaceutical medications with evidence that parents prefer to use alternative medicine than pharmaceutical medications in treatment of ASM due to side effects and safety concerns associated with pharmaceutical medications. However, the review also highlights that pharmaceutical medications has no straightforward cure but have specialised drugs that can help manage specific associated symptoms with the syndrome, the (FDA) has only verified 2 drugs for ASM treatment (aripiprazole and risperidone) which help autistic children manage irritability problems associated with ASM syndromes, other drugs have not been adequately studied and not yet approved, therefore there are no evidence to support their use.

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