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Hay 131 universidades gubernamentales y 75 privadas en Türkiye. Faltan datos demográficos sobre el número de mujeres que trabajan como académicos en estas universidades y deben evaluarse. Sin embargo, los datos relacionados con la Facultad de Medicina de la Universidad de Ankara muestran que el número de mujeres administradoras y representantes en los campos académico y administrativo es mayor que el de los hombres.

There are 131 government, 75 private Universities in Türkiye. A demographic data on the number of women working as academic stuff in these Universites is missing and needs to be evaluated. However, the data related to Ankara University Faculty of Medicine show that on the number of female administrators and representatives in academic and administrative fields is higher than that of men.

When using the flipped classroom method, students are required to come to the lesson after having prepared the basic concepts. Thus, the effectiveness of the lecture depends on the students’ preparation. With the ongoing COVID-19 pandemic, it has become difficult to examine student preparations and to predict student course failures with limiting variables. Learning analytics can overcome this limitation. In this study, we aimed to develop a predictive model for at-risk students who are at risk of failing their final exam in an introductory anatomy course. In a five-week online flipped anatomy course, students’ weekly interaction metrics, quiz scores, and pretest scores were used to design a predictive model. We also compared the performances of different machine learning algorithms. According to the results, the Naïve Bayes algorithm showed the best performance for predicting student grades with an overall classification accuracy of 68% and with at-risk prediction accuracy of 71%. These results can be used as a traffic light project wherein the “at-risk” group will receive the red light, and thus, will require more effort to engage with the content and they might need to solve the quiz tests after an individual study period.

Abstract Introduction  A review of the ancient world finds multiple documentations describing the use of the human calvaria as a drinking implement. Terminology  This term, which is frequently and incorrectly called the “calvarium,” has a unique history among multiple cultures of the world. For example, the purported site of Jesus’ crucifixion “Calvary” is derived from this term calvaria. The present report explores the derivation, misuse, and history of the human calvaria. [ABSTRACT FROM AUTHOR]

Findings suggest that the physiological mechanisms involved in the reward anticipation and time perception partially overlap. But the systematic investigation of a potential interaction between time and reward systems using neuroimaging is lacking. Eighteen healthy volunteers (all right-handed) participated in an event-related functional magnetic resonance imaging (fMRI) experiment that employs a visual paradigm that consists monetary reward to assess whether the functional neural representations of time perception and reward prospection are shared or distinct. Subjects performed a time perception task in which observers had to extrapolate the velocity of an occluded moving object in “reward” vs. “no-reward” sessions during fMRI scanning. There were also “control condition” trials in which participants judged about the color tone change of the stimuli. Time perception showed a fronto-parietal (more extensive in the right) cingulate and peristriate cortical as well as cerebellar activity. On the other hand, reward anticipation activated anterior insular cortex, nucleus accumbens, caudate nucleus, thalamus, cerebellum, postcentral gyrus, and peristriate cortex. Interaction between the time perception and the reward prospect showed dorsolateral, orbitofrontal, medial prefrontal and caudate nucleus activity. Our findings suggest that a prefrontal-striatal circuit might integrate reward and timing systems of the brain.