Web-based eight-question tool to determine epilepsy surgery evaluation: The future is here

Neurology ◽  
2012 ◽  
Vol 79 (11) ◽  
pp. 1074-1075 ◽  
Author(s):  
J. T. Langfitt ◽  
G. W. Mathern
2010 ◽  
Vol 172 (11) ◽  
pp. 1292-1298 ◽  
Author(s):  
M. M. H. J. van Gelder ◽  
R. W. Bretveld ◽  
N. Roeleveld
Keyword(s):  

2021 ◽  
Vol 9 ◽  
Author(s):  
Chen Wang ◽  
Shuguang Jian ◽  
Hai Ren ◽  
Junhua Yan ◽  
Nan Liu

Plant functional traits are fundamental to the understanding of plant adaptations and distributions. Recently, scientists proposed a trait-based species selection theory to support the selection of suitable plant species to restore the degraded ecosystems, to prevent the invasive exotic species and to manage the sustainable ecosystems. Based on this theory, in a previous study, we developed a species screening model and successfully applied it to a project where plant species were selected for restoring a tropical coral island. However, during this process we learned that a software platform is necessary to automate the selection process because it can flexible to assist users. Here, we developed a generalized software platform called the “Restoration Plant Species Selection (RPSS) Platform.” This flexible software is designed to assist users in selecting plant species for particular purposes (e.g., restore the degraded ecosystems and others). It is written in R language and integrated with external R packages, including the packages that computing similarity indexes, providing graphic outputs, and offering web functions. The software has a web-based graphical user interface that allows users to execute required functions via checkboxes and buttons. The platform has cross-platform functionality, which means that it can run on all common operating systems (e.g., Windows, Linux, macOS, and others). We also illustrate a successful case study in which the software platform was used to select suitable plant species for restoration purpose. The objective of this paper is to introduce the newly developed software platform RPSS and to provide useful guidances on using it for various applications. At this step, we also realized that the software platform should be constantly updated (e.g., add new features) in the future. Based on the existing successful application and the possible updates, we believe that our RPSS software platform will have broader applications in the future.


Author(s):  
Spyros Panagiotakis ◽  
Ioannis Vakintis ◽  
Haroula Andrioti ◽  
Andreas Stamoulias ◽  
Kostas Kapetanakis ◽  
...  

This chapter at first surveys the Web technologies that can enable ubiquitous and pervasive multimedia communications over the Web and then reviews the challenges that are raised by their combination. In this context, the relevant HTML5 APIs and technologies provided for service adaptation are introduced and the MPEG-DASH, X3Dom, and WebRTC frameworks are discussed. What is envisaged for the future of mobile multimedia is that with the integration of these technologies one can shape a diversity of future pervasive and personalized cloud-based Web applications, where the client-server operations are obsolete. In particular, it is believed that in the future Web cloud-based Web applications will be able to communicate, stream, and transfer adaptive events and content to their clients, creating a fully collaborative and pervasive Web 3D environment.


2018 ◽  
pp. 2274-2287
Author(s):  
Utku Kose

With the outstanding improvements in technology, the number of e-learning applications has increased greatly. This increment is associated with awareness levels of educational institutions on the related improvements and the power of communication and computer technologies to ensure effective and efficient teaching and learning experiences for teachers and students. Consequently, there is a technological flow that changes the standards of e-learning processes and provides better ways to obtain desired educational objectives. When we consider today's widely used technological factors, Web-based e-learning approaches have a special role in directing the educational standards. Improvements among m-learning applications and the popularity of the Artificial Intelligence usage for educational works have given great momentum to this orientation. In this sense, this chapter provides some ideas on the future of intelligent Web-based e-learning applications by thinking on the current status of the literature. As it is known, current trends in developing Artificial Intelligence-supported e-learning tools continue to shape the future of e-learning. Therefore, it is an important approach to focus on the future. The author thinks that the chapter will be a brief but effective enough reference for similar works, which focus on the future of Artificial Intelligence-supported distance education and e-learning.


2019 ◽  
Vol 45 (2) ◽  
pp. 111-129
Author(s):  
Katriina Anttila ◽  
Minna Anttila ◽  
Maritta Välimäki

2019 ◽  
Vol 24 (4) ◽  
pp. 445-489
Author(s):  
Susanne Wagner

Abstract Situated at the interface of several sub-disciplines (corpus linguistics, World Englishes, variationist sociolinguistics), this study investigates patterns of adjectival amplification (very good, so glad, pretty cool) in the Corpus of Global Web-Based English (GloWbE). It highlights regional distributions/preferences of amplifier-adjective 2-grams and the idiosyncratic status of certain bigrams according to their frequency status. Globally, clear regional preferences in amplification patterns as well as possible trends concerning change are identified. Regionally, L1 varieties contrast starkly with some regions (Africa, Indian subcontinent) but – maybe unexpectedly – not with others (Southeast Asia). The results offer insights into current trajectories of change concerning the investigated amplifiers in certain regions and 2-grams: North American varieties are leading a trend away from very towards so and possibly pretty in the future.


2015 ◽  
Vol 11 (A29A) ◽  
pp. 397-397
Author(s):  
Claude Carignan ◽  
Yannick Libert

AbstractThis presentation describes the web-based Teaching Radio Interferometer being built on the campus of the University of Cape Town, in South Africa, to train the future users of the African VLBI (Very Long Baseline Interferometry) Network (AVN).


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