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My interactive media art installations generate various kinds of portraits from visitors (algorithmic, generative, combinatory) and I'm looking to frame that practice in a broader context. This means I'm interested in portraiture in general but also, more specifically, in portraiture as present in media and interactive arts.

I want to measure how easy/difficult a legal translated text is to a defendant whose only medium of reception of the text is the auditory channel. I am familiar with the Flesch readability formula but I was wondering if there are better ways to do it?

I've read article on this link:http://m.bizcommunity.com//Article.aspx?l=196&c=424&i=107478

As it divide latest trend of marketing is divide into :

1. Big Data and samples will come to be seen as complementary.

2. Online-survey panels increasingly important and increasingly clever.

3. Rapid online survey.

4. Social media marketing.

5. Automated marketing manager.

I'm doing a research on marketing related to information systems and I need your suggestions and opinions on the latest topics in marketing.

Dear Researcher's

I have one query. For my research purposes, we are transcribing the verbal utterances of the think-aloud protocol into nine categories. Three independent raters are coding the verbal transcripts into these 9 categories. As obvious the segmentation differs between these raters (as given in the screenshot attached for two raters). How should I calculate the Krippendorff's reliability alpha score here? I am confused.

I read @Gabriela Trindade Perry @Klaus Krippendorff's paper below, however, I am not able to understand how to use it in my own context.

I would like to know of my partners what you tink about use of interactive simulation in the teaching of chemistry, specially, the Interactive Simulation PhET by University of Colorado at Boulder. I have used this didatic tool in my chemistry classes and my students have been accepted very well this feature. I would like to read your opinions.

Dear All,

I am trying to implement Multi Layer Perceptron and I need help in moving forward. Previously, I was using single layer perceptron and I considered data for training (given in the tensorflow tutorials, link : https://www.tensorflow.org/get_started/mnist/beginners). Now, I would like to access data for training using input file and also from the database.

Can anyone please suggest me how to go about? How to read the data and write data from input file and from database in tensorflow?

Thanks in advance

Dear colleagues,

I've recently developed an R package called "farrell" that allows the user to run radial Data Envelopment Analysis models in an interactive session. The user doesn't need to have advanced R skills, just the extreme basics are sufficient.

It's available on CRAN ( https://CRAN.R-project.org/package=farrell) and there is a tutorial on the Github repository ( https://github.com/feddelegrand7/farrell). Feel free to contribute or open an issue if you detect a bug or want an improvement. I'm looking forward to read your feedback.

PS: the farrell package is developed upon the Benchmarking package by Bogetoft and Otto (2011)

With my best regards.

Hi all, so much has been said and written about the role of influencers in influencer marketing. So far, most studies focus on influencers in terms of their number of followers, thus we have nano, micro, macro, etc....

In a recent study ( Himelboim, I., & Golan, G. J. (2019). A social networks approach to viral advertising: The role of primary, contextual, and low influencers. Social Media+ Society, 5(3), 2056305119847516. ), my coauthor and I provide a new perspective on how influencers can be conceptualized beyond their level of followership.

I would love to hear about any recent study (or any MUST READ study) that deals with different types of social media influencers.

Thanks

During the last decades several narrative-based learning environments for Inquiry-Based Science Education (IBSE) have appeared in the literature such as Quest Atlantis, Crystal Island or RiverCity. One of the main features of these learning environments is that they are composed by interactive narratives which they host the learning content. Narrative in the frame of these learning environments has been argued to be something different when compared to the narratives met in books and novels- it has been argued to be more interactive and more immersive. Could anyone suggest a good definition of what an "interactive narrative" is in the context of narrative-based learning environments based on the existing literature? I read several articles so far but I did not met a concrete definition about how narrative could be defined in these interactive learning environments. Is there are also any relevant work explaining what are the design factors/features that make these interactive narratives more immersive?

I would like read namelist.wps and namelit.input from WRF model with Fortran. Thanks.