scholarly journals Behavioral Modification Program (BMP): Role of Socio-Demographic Characteristics of Adult Drug Abusers in Saudi Arabia

2013 ◽  
Vol 03 (03) ◽  
Author(s):  
Mahmoud Abdul Rahman
Author(s):  
Saad Alhumaidi ◽  
Abdullah Alshehri ◽  
Abdullah Altowairqi ◽  
Ahmad Alharthy ◽  
Bader Malki

2019 ◽  
Vol 20 (2) ◽  
pp. 37-41
Author(s):  
Maftuna Sanoqulova ◽  

This article consists of the politics which connected with oil in Saudi Arabia after the World war II , the relations of economical cooperations on this matter and the place of oil in the history of world economics


Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 834
Author(s):  
Magbool Alelyani ◽  
Sultan Alamri ◽  
Mohammed S. Alqahtani ◽  
Alamin Musa ◽  
Hajar Almater ◽  
...  

Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ali Fakhari ◽  
Mostafa Farahbakhsh ◽  
Elham Davtalab Esmaeili ◽  
Hosein Azizi

Abstract Background A detailed community-level understanding of socioeconomic status (SES) and sociocultural status (SCS) of suicides and suicide attempters (SAs) in a prospective design could have significant implications for policymakers at the local prevention and treatment levels. The effect of SCS and SES on SAs is poorly understood and investigated in Iran. The present study aimed to investigate the incidence, trend, and role of SES and SCS on suicide and SAs. Methods A longitudinal study was conducted based on the registry for SAs in Malekan County, Iran, from 2015 to 2018. Demographic characteristics, SES, SCS, incidence rates, and predictors of suicidal behaviors were measured via structured instruments. Simple and multiple logistic regressions were used to estimate crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Results A total of 853 SAs (32 suicides and 821 attempts) were identified during the study. Trend analysis revealed that the suicide rate significantly decreased from 2014 (10.28) to 2018 (1.75) per 100,000. In the final multiple variable models, age (26–40), male sex, unemployment, antisocial activities, history of SA, hanging method, and season (spring) increased the suicide risk while religious commitment had protective effects on suicide. Conclusions Our findings indicated that demographic characteristics, low SES, and SCS are associated with suicide. In this county, trend of suicide and SA were decreased from 2014 to 2018. This study findings highlight the need to consider a wide range of contextual variables, socio-demographic, SES, and SCS in suicide prevention strategies. Improving inter-sectoral collaborations and policymakers’ attitudes are imperative for SA reduction.


Author(s):  
Nada Zwayyid Almutairi ◽  
Eman Salah Ibrahim Rizk

This study explores interactive e-book cues and Information Processing Levels (IPL)’s effectiveness on Learning Retention (LR) and External Cognitive Load (ECL). 117 middle school pupils (MSP) were divided into six experimental groups based on their IPL and cues during the second term of the academic year 2019–2020. Visual Cues (VC)/Audiovisual Cues (VAC) and Auditory Cues (AC)/Audiovisual Cues (VAC) statistically varied in the Ie-book in LR test and ECL scale, same for the average scores when testing the LR in Science for MSP due to the difference between IPL for the DL. There is a statistically significant effect of cue types' interaction in Ie-book with IPL in ECL scale for MSP, at its highest peak in the case of the AVC with DL, followed by the interaction resulting from the VC with DL then AC with SL. Also, cues interaction in Ie-book with IPL immensely affect the LR test for MEP, which is at its highest peak in the case of the AVC with DL. The interactions between (DL–SL) and (AC–VC) seem to equally influence the ELC.


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