An in-depth analysis of pre-service elementary English teachers’ reflective journals on two different types of online microteaching

2021 ◽  
Vol 27 (4) ◽  
pp. 149-177
Author(s):  
Young-A Lee
2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Paula M. Vergara ◽  
Enrique de la Cal ◽  
José R. Villar ◽  
Víctor M. González ◽  
Javier Sedano

Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday life of the patients. Several solutions have been proposed in the literature to detect this type of seizures and to monitor the patient; however, these approaches lack in ergonomic issues and in the suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. Special attention has been given to the part of the system the patient should wear, providing details of this part of the platform. Finally, a partial implementation has been deployed and several tests have been proposed and carried out in order to make some design decisions.


Author(s):  
Eric H. Pool

D. 41,2,3,21 turns on the issue of how possessio is to be divided. Understanding its content presupposes making a distinction that was self-evident for the Roman jurist but has never been made by later scholars of Roman law. They do not distinguish the varying ‘causes’ of possession (pro emptore … pro suo) which mark different types of lawful possession, and the ‘causes’ of acquisition (causae adquirendi) which justify obtaining possesion as by an owner. Taking a legally valid sale as an example the distinctive features of (possessio) pro emptore in contrast to emptio are established as well as their relevance for procedural practice. In particular there are no less than six forms of action in the law of inheritance for which these features are relevant. Next, the many negative effects of failing to make this distinction are indicated. There follows an in depth analysis and interpretation of the main phrases in Paul’s text: (i) quod nostrum non est; (ii) causae ad­­quirendi, in particular iustae causae traditionis; (iii) unum genus possidendi; (iv) species infinitae.


2019 ◽  
Vol 50 (2) ◽  
pp. 226-242 ◽  
Author(s):  
José I. Ortiz ◽  
Eugenio Pellicer ◽  
Keith R. Molenaar

This research describes the managerial approaches that contractors follow to determine different types of contingencies in construction project management. Two large Spanish general contractors were selected for an in-depth analysis. Interviews and surveys were conducted with six additional companies to explore the external validity of the findings. Managers constrain time and cost buffers through project objectives, applying heuristics to determine inventory buffers. The management of capacity buffers is entrusted to subcontractors. The contractors take advantage of scope and quality buffers to meet project objectives but rarely share these buffers with the owner, unless the owner is an internal client.


2018 ◽  
Vol 29 (3) ◽  
pp. 67-88 ◽  
Author(s):  
Wen Zeng ◽  
Hongjiao Xu ◽  
Hui Li ◽  
Xiang Li

In the big data era, it is a great challenge to identify high-level abstract features out of a flood of sci-tech literature to achieve in-depth analysis of data. The deep learning technology has developed rapidly and achieved applications in many fields, but has rarely been utilized in the research of sci-tech literature data. This article introduced the presentation method of vector space of terminologies in sci-tech literature based on the deep learning model. It explored and adopted a deep AE model to reduce the dimensionality of input word vector feature. Also put forward is the methodology of correlation analysis of sci-tech literature based on deep learning technology. The experimental results showed that the processing of sci-tech literature data could be simplified into the computation of vectors in the multi-dimensional vector space, and the similarity in vector space could be used to represent similarity in text semantics. The correlation analysis of subject contents between sci-tech literatures of the same or different types can be made using this method.


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