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Core challenges for integration included intellectual and external challenges such as lack of knowledge of other disciplines, knowledge transfer, reaching depth, supervision, lack of exchange with other students and time demands.
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Deep dives should be made only after a gradual training to test the individual diver's sensitivity to increasing depths, with careful supervision and logging of reactions.
The in-depth interviews showed that supervision visits at regional and district level are often conducted in the context of training or for priority programmes.
A qualitative study was chosen as most appropriate to reach the objective of this study, because it could obtain in-depth insight into how supervision of APEs was conducted and what made it facilitate or hinder APE motivation and performance [ 18, 19].
In brief, from 1998-2001, teacher-led peer-assisted ASRH education, youth friendly services and community activities were implemented after in-depth training and with continued supervision from an NGO with over 50 years experience of developing and implementing public health interventions across Africa.
The fine-tuning task takes the labelled depth images as inputs, while the supervision transfer task requires the paired RGB and depth images.
40 42 43 Using semistructured interviews, our study explored these aspects in depth, further validating that through remote supervision via videoconferencing, these opportunities exist and are welcomed.
We show detailed experimental results for supervision transfer from RGB to depth images compared with fine-tuning with depth images, as shown in Fig. 13.
The supervision team conducted in-depth interviews with hospital directors using a semi-structured interview guide to assess acceptability, support, and sustainability of CHTC services from an administrative/executive perspective.
There is, therefore, considerable consensus on the need for more in-depth research into the processes of supervision and how these influence both educational and wellbeing outcomes [ 6, 15, 23].
We demonstrate how we transfer supervision from RGB images to depth images as obtained from a range sensors, such as the Microsoft Kinect, for the downstream task of saliency detection.
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