Introduction: Sleep, an essential therapeutic part of human physiology, Sleep problems was widespread among students in medical colleges, and excessive stress and the pressure of holding grades can affect their sleep quality. The relationship between sleep, stress and cognition/learning is far more complex than perceived. Material and Method: Cross sectional study was conducted in Al-Kindy College of Medicine, during the period from (2022 to 2023) academic year. The electronic questionnaire was distributed among all students. Analysis of data was carried out using IBM SPSS version 24. Results: A total of (500) medical students' online surveys were analyzed from AL-Kindy College of Medicine, The highest number of participants was from the fifth year with (114) students, and percentage of (22.8%), whereas the lowest number of participants was from the second year with (68) students (13.6%). There were about (258) male with percentage of (51.6%), and (242) female with percentage of (48.4) participated in this study. The majority of students (160) with percentage of (32%) were sleeping (6) hours/day, and a minority (1) student with percentage of (0.2%) had 3 hours sleeping/day. There was a significant relationship between sleep hours and sleep deprivation like, about (297) students, with prevalence of (59.4%) agreed that sleeplessness negatively affected their academic performance, while (41) students with percentage of (8.2%) disagreed. According to the effect of stress, the prevalence of sleep disorders among undergraduate medical students was shown that (169) students with percentage of (33.8%), were always stressed, while (34) students with percentage of (6.8 %), were rarely affected by stress. According to the causes of stress, the majority of students (198), with percentage of (39.6%), were had too much study, while (1) student, with percentage of (0.2%), was had no significant reason. Other (174) students, with percentage of (34.8%), were under stress because of exams and (127) students, with percentage of (25.4%), were under stress because of life events. Conclusions: Sleep disorders are common among medical students. The study also reveals that there is a strong, positive and significant relationship between stress levels sources of stress and sleep deprivation which is associated with poor academic performance. Recommendations: Keeping bedtime and wake time consistent, including on weekends. Regular activity helps promote a good night's sleep. Also schedule exercise at least a few hours before bedtime and avoid stimulating activities before bedtime. Further research is required in this field.
Background: Measuring implant stability is an important issue in predicting treatment success. Dental implant stability is usually measured through resonance frequency analysis (RFA). Osstell® RFA devices can be used with transducers (Smartpeg™) that correspond to the implants used as well as with transducers designed for application with Penguin® RFA devices (Multipeg™). Aims: This study aims to assess the reliability of a MultiPeg™ transducer with an Osstell® device in measuring dental implant stability. Materials and Methods: Sixteen healthy participants who required dental implant treatment were enrolled in this study. Implant stability was measured by using an Osstell® device with two transducers, namely, Smartpeg™ and M
... Show MoreBackground: Strangles is a highly contagious equine respiratory disease caused by Streptococcus equi subsp. equi. It is a globally significant pathogen and one of the most common infectious agents in horses. In Iraq, no sequencing data on this pathogen are available, and only two molecular studies have been published to date. This study provides preliminary insights into strain diversity and provides a foundation for future large-scale investigations. Aim: This study aimed to investigate the molecular characteristics, identify SeM gene alleles, and perform a phylogenetic analysis of S. equi isolates from horses in Baghdad, Iraq. Methods: We analyzed 59 Streptococcus spp. isolates previously obtained from equine clinical sample
... Show MoreDue to their recalcitrant characteristics, Azo dyes such as methyl orange (MO) are extremely poisonous substances, making their removal from textile industry wastewater a major problem. By employing various EC-Adsorption combined system configurations and reusing alum sludge as an adsorbent, the current study seeks to investigate the efficiency of these various systems in removing MO dye. To estimate their benefits and limitations, experiments were carried out utilizing nickel foam (NiF) and aluminum plate (Al plate) as anodes, and stainless-steel mesh (SS mesh) as cathode in the presence of alum sludge as an adsorbent in all systems. The EC-Adsorption combined system with NiF as anode and two SS meshes as cathodes with 10 g/L
... Show Moreيتناول هذا البحث شخصية عراقية مهمة كان لها أثر كبير في تاريخ العراق المعاصر ، وهو الشيخ جلال الحنفي البغدادي ، الذي يعد مثالاً يحتذى به في الوسطية والتعايش والفكر التنويري، والتجديد . يعد الشيخ جلال الحنفي من أهم المؤلفين الموسوعيين العراقيين المعاصرين ، إن لم يكن أهمهم على الاطلاق ، واختص بجوانب متعددة من المعرفة والثقافة، وكان مثالاً للشخصية البغدادية الأصيلة ، حتى أنه أفنى عمره في توثيق التراث والثقا
... Show MoreAbstract The current study aims to 1) identify the prevalent Enneagram personality types and the academic self among the sixth-grade students of the distinguished secondary schools; 2) the differences of relationship between the Enneagram personality types and the academic self-concept based on gender; 3) identify the correlation between the Enneagram personality types and the academic self-concept; and 4) identify the contribution of each type of personality types to the academic self-concept. To this end, two instrument were used to collect the data: Riso-Hudson’s scale,1995 was administered to measure enneagram types which had translated to the Arabic language by ( al-yassery,2004), the other instrument was constructed by the author de
... Show MoreAttention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting millions of people globally, is defined by symptoms of hyperactivity, impulsivity, and inattention that can significantly affect an individual's daily life. The diagnostic process for ADHD is complex, requiring a combination of clinical assessments and subjective evaluations. However, recent advances in artificial intelligence (AI) techniques have shown promise in predicting ADHD and providing an early diagnosis. In this study, we will explore the application of two AI techniques, K-Nearest Neighbors (KNN) and Adaptive Boosting (AdaBoost), in predicting ADHD using the Python programming language. The classification accuracies obtained w
... Show MoreThe substantial key to initiate an explicit statistical formula for a physically specified continua is to consider a derivative expression, in order to identify the definitive configuration of the continua itself. Moreover, this statistical formula is to reflect the whole distribution of the formula of which the considered continua is the most likely to be dependent. However, a somewhat mathematically and physically tedious path to arrive at the required statistical formula is needed. The procedure in the present research is to establish, modify, and implement an optimized amalgamation between Airy stress function for elastically-deformed media and the multi-canonical joint probability density functions for multivariate distribution complet
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