The build-up of greenhouse gases (GHGs) is causing warmness in the Earth’s atmosphere, resulting in climate change. The transport sector is one of the active causes of GHG emissions and it is imperative to use sustainable transport sources to control climate change. There is a measure that aims to encourage citizens to stop using their own vehicles as their choice of transport and instead opt for joint sustainable mobility during traveling. In this study, a quantitative research method was used and data were collected from a sample of 410 respondents through a questionnaire. Furthermore, this study also took a simulation-based (n = 10,000) sample size of electric rail vehicle data. The data were analyzed using structural equation modelling. The results revealed that sustainable transportation, climate change technologies, and electric rail vehicles reduce climate change in the ecoregions of China. We conclude that sustainable transportation policies could be formulated and implemented to reduce climate change. In response to the research results, it is recommended that, since climate change is a multi-level governance issue, the outdated pyramidal transport industry models must be shifted to a sustainable transportation system model.

Background: Since the beginning of the HIV epidemic, the virus has taken millions of lives worldwide. The United Nations AIDS Fund’s statistics reported that deaths caused by HIVrelated conditions and AIDS were about 39 million from the beginning of the epidemic to 2015. The united global efforts to fight the virus are considerably changing the indicators, such as mortality and morbidity, but the challenges remain. The total number of people living with HIV in Bulgaria as of 12th May, 2015, was 2,121. As of 30th November, 2016, the official data reported 2 460 people living with HIV. As of 13th February, 2017, 2 487 individuals were HIV-seropositive. Approximately 60% of people with HIV are prone to developing cognitive impairment due to the infection. Objective: This study aimed to know the level of cognitive deficiency, in particular, the verbal and semantic fluency of people living with HIV and AIDS Methods: In this study, a comparative analysis was carried out. The Stewart test was used to compare the average independent samples. For clarity, the average values, the test statistics, and the estimated significance levels are presented in the tables. Additionally, a statistical mechanism of factor selection was used by the forward stepwise method. The Wilks' Lambda statistic reported values between 0 and 1, with values close to zero indicating good discrimination of the model. Results: According to this research, the HIV positives participants generated fewer verbs than the ones from the control group. The data were partially confirmed by the present study. There were differences in terms of both adjectives and nouns among people living with HIV and AIDS. Conclusion: The study data proves that language deficits are detectable in neurocognitive testing of HIV. The overall hypothesis of the study has been confirmed. The language impairments are primarily qualitative and can be used as a marker for the initial and subsequent therapy assessment.

The build-up of greenhouse gases (GHGs) is causing warmness in the Earth’s atmosphere, resulting in climate change. The transport sector is one of the active members of GHG emissions and it is imperative to use sustainable transport sources to control climate change. The measure aims to encourage citizens to stop using their private vehicles as their choice of transport and instead opt for joint sustainable mobility during traveling. In this study, a quantitative research method was used and data were collected from a sample of 410 respondents through questionnaire. On the other hand, study also took a simulation-based (N=10000) sample size of private vehicle data. The data were analyzed using structural equation modelling. The results revealed that sustainable transportation, climate change technologies and electric rail vehicles reduce climate change in the ecoregions of China. We conclude that sustainable transportation policies could be formulated and implemented to reduce climate change. In response to the research results, it is recommended that, since climate change is a multi-level governance issue and the outdated pyramidal transport industry models must be shifted to a sustainable transportation system model.

In this study, we aim to address questions about how UAE Leadership Development Plans and Employability connect with current students in UAE classrooms by evaluating the correlation between the employability of UAE university students and their emotional intelligence (EI) and problem-solving skills. Moreover, we cover what must be considered in the curricula of UAE Universities to prepare future leaders to lead the workforce . To that end, we employed an employability test developed by AQR International UK and collected data from 310 undergraduate students aged 17 to 55. Both EI and problem-solving skills were strongly positively correlated with employability (p < .001). Even though male participants scored higher than female participants for EI and problem-solving skills, analysis of variance revealed nonsignificant gender differences (p > .05 for these variables. Our study underscored the critical role of EI and problem-solving skills in facilitating leadership potential among university students. These insights are particularly instrumental in informing the higher education curriculum and in assessing employability and leadership potential.

Objectives: The study aims to explore the social adaptation strategies adopted by Gulf society in response to the transformations brought about by the development of artificial intelligence. Methods: The study employed a qualitative methodology using Grounded Theory, specifically the developed Strauss model, which is based on three key stages: open coding, axial coding, and selective coding. Data was collected from a variety of sources, including personal and group interviews conducted via trusted online platforms such as Zoom and Teams. The sample size consisted of 30 individuals—15 from the education sector and 15 from the local community and family sector—selected using purposive sampling. Results: The study developed a model based on two main dimensions: the individual dimension and the institutional dimension. The results indicated that both public and private institutions in Gulf society quickly adopted digital systems. The Gulf community showed a high level of readiness to adapt through education and training. Furthermore, the use of AI and digital technologies contributed to accelerating changes across various sectors such as education and healthcare, enhancing the management of social and economic crises. The study also revealed a shift in individual priorities, with a greater focus on education and health. Conclusion: This study sheds light on the social adaptation strategies within Gulf society in the era of artificial intelligence, relying on a qualitative methodology using Grounded Theory. The findings concluded that both individuals and institutions are adopting flexible strategies that combine technological and value-based adaptation.

Purpose: The study examines how environmental awareness relates to sustainable practices in Abu Dhabi and how age, income, and education shape this relationship. Design/Methodology/Approach: The design adopted was a mixed-methods, consisting of a survey of 350 people, ten in-depth interviews and the combination of the two strands to increase validity and provide social insight. Findings: The study showed high environmental awareness reflected in organic buying, water saving, reduced plastic use, and waste sorting, with weak links to demographics but a strong positive link between awareness and sustainable behaviour (B = 0.669, p = 0.001). Practical Implications: The study contributes to the development of a social policy related to sustainable environmental development by developing behavioural programmes and interventions based on artificial intelligence (AI). Originality/Value: The paper presents a new AI-powered-behavioural model and seals a significant knowledge gap in the region by empirically correlating environmental awareness with sustainable behaviour in the Arab Gulf. Keywords: Environmental Awareness; Sustainability; Artificial Intelligence; Abu Dhabi. Citation: Alhrahsheh, R., Ivanova, G. and Mohamad, M. (2026): From Environmental Awareness to Sustainable Action and Social Impact in the age of AI: A Mixed-Methods Study in Abu Dhabi. World Journal of Science, Technology and Sustainable Development (WJSTSD), Vol. 21, No. 5, pp. 439-456.