introduction: feedback is very important in education and can help quality in the training process and orient the trainees in clinical contexts. this study aimed to assess the residents’ points of view about feedback in clinical education at shiraz university of medical sciences. methods: the sample of this study included 170 medical residents attending medical workshops in shiraz university of...

The Internet enables cheap, rapid, and large-scale distribution of software for evaluation purposes. It also presents hitherto unprecedented, and currently underutilized, opportunities for increasing user-developer communication in software development. For instance, the Internet can be used as a medium for collecting “direct” user feedback in the form of subjective user reports, as well as “in...

recent interaction studies havefocused on the relationship between interactional feedback and l2 development.despite the large body of knowledge in this regard, few studies have examinedlearners’ preferences for interactional feedback. besides, different findingshave been reported concerning learners’ preferences for feedback and none hasexamined the factors accounting for the variation in the ...

since the emergence of the process-oriented approach in second language writing instruction, the issues of writing instruction have been predominantly concerned with what and how error feedback should be given to the students’ writing. the present study investigated the effect of explicit corrective feedback on writing accuracy of iranian intermediate efl learners (n = 44) in hamedan islamic az...

Artificial neural networks are most commonly trained with the back-propagation algorithm, where the gradient for learning is provided by back-propagating the error, layer by layer, from the output layer to the hidden layers. A recently discovered method called feedback-alignment shows that the weights used for propagating the error backward don’t have to be symmetric with the weights used for p...

This paper presents a visual-inertial odometry framework which tightly fuses inertial measurements with visual data from one or more cameras, by means of an iterated extended Kalman filter (IEKF). By employing image patches as landmark descriptors, a photometric error is derived, which is directly integrated as an innovation term in the filter update step. Consequently, the data association is ...

The Thought-Translation-Device (TTD) is a Brain-ComputerInterface (BCI) that enables completely paralyzed patients to communicate by the use of their brain signals only. Selfregulation of brain signals (e.g. the slow cortical potentials) is achieved by a feedback training. Visual impairment of these patients asks for an auditory feedback mode. The TTD can be entirely operated by combined listen...

Artificial neural networks are most commonly trained with the back-propagation algorithm, where the gradient for learning is provided by back-propagating the error, layer by layer, from the output layer to the hidden layers. A recently discovered method called feedback-alignment shows that the weights used for propagating the error backward don’t have to be symmetric with the weights used for p...

The Raf-1 kinase is an important signaling molecule, functioning in the Ras pathway to transmit mitogenic, differentiative, and oncogenic signals to the downstream kinases MEK and ERK. Because of its integral role in cell signaling, Raf-1 activity must be precisely controlled. Previous studies have shown that phosphorylation is required for Raf-1 activation, and here, we identify six phosphoryl...

Prism Adaptation Therapy (PAT) is an intervention method in the treatment of the attention disorder neglect (Frassinetti, Angeli, Meneghello, Avanzi, & Ladavas, 2002; Rossetti et al., 1998). The aim of this study was to investigate whether one session of PAT using a computer-attached touchscreen would produce similar after-effects to the conventional box normally used in PAT. In four experiment...