Towards automated content analysis of discussion transcripts: A cognitive presence case

In this paper, we present the results of an exploratory study that examined the problem of automating content analysis of student online discussion transcripts. We looked at the problem of coding discussion transcripts for the levels of cognitive presence, one of the three main constructs in the Community of Inquiry (CoI) model of distance education. Using Coh-Metrix and LIWC features, together with a set of custom features developed to capture discussion context, we developed a random forest classification system that achieved 70.3% classification accuracy and 0.63 Cohen's kappa, which is significantly higher than values reported in the previous studies. Besides improvement in classification accuracy, the developed system is also less sensitive to overfitting as it uses only 205 classification features, which is around 100 times less features than in similar systems based on bag-of-words features. We also provide an overview of the classification features most indicative of the different phases of cognitive presence that gives an additional insights into the nature of cognitive presence learning cycle. Overall, our results show great potential of the proposed approach, with an added benefit of providing further characterization of the cognitive presence coding scheme.

On the expressive power of behavioral profiles

Behavioral profiles have been proposed as a behavioral abstraction of dynamic systems, specifically in the context of business process modeling. A behavioral profile can be seen as a complete graph over a set of task labels, where each edge is annotated with one relation from a given set of binary behavioral relations. Since their introduction, behavioral profiles were argued to provide a convenient way for comparing pairs of process models with respect to their behavior or computing behavioral similarity between process models. Still, as of today, there is little understanding of the expressive power of behavioral profiles. Via counter-examples, several authors have shown that behavioral profiles over various sets of behavioral relations cannot distinguish certain systems up to trace equivalence, even for restricted classes of systems represented as safe workflow nets. This paper studies the expressive power of behavioral profiles from two angles. Firstly, the paper investigates the expressive power of behavioral profiles and systems captured as acyclic workflow nets. It is shown that for unlabeled acyclic workflow net systems, behavioral profiles over a simple set of behavioral relations are expressive up to configuration equivalence. When systems are labeled, this result does not hold for any of several previously proposed sets of behavioral relations. Secondly, the paper compares the expressive power of behavioral profiles and regular languages. It is shown that for any set of behavioral relations, behavioral profiles are strictly less expressive than regular languages, entailing that behavioral profiles cannot be used to decide trace equivalence of finite automata and thus Petri nets.

Improvising a future in the performing arts: The benefits of reframing performing arts entrepreneurship education in familiar terms

Improvisation is a central concept in any drama, theatre or performance studies degree. It is a critical skill, which helps performers learn to ‘make it up as they go along’, apply existing skills to new situations and environments, and, of course, adapt find the most effective or creative pathway towards a their aims. As such, the fact that improvisation is rarely listed as a core career competency — even for performing arts graduates, who can struggle to engage with entrepreneurial skill sets they will need to learn to manage their unpredictable portfolio careers when they are couched in business terms — is somewhat strange. This paper examines the benefits of reframing the administrative, management and entrepreneurial skills arts graduates need to navigate a complex, uncertain, constantly changing industrial landscape in terms of improvisation, play, and playful self - performance. It suggests that adding improvisation to our career training arsenal may be worthwhile, not just because it may assist graduates in navigating their way through a portfolio career, but because it may offer a more familiar, user- friendly terminology to assist graduates in understanding the need to develop administrative, management and entrepreneurial as well as artistic skills, and, in a sense, understand the similarities between the two sets of skills.

Impact of chemotherapy on cancer-related fatigue and cytokines in 1312 patients: A systematic review of quantitative studies

Purpose of review: Cancer-related fatigue (CRF) is the most common psychosomatic distress experienced by cancer patients before, during and after chemotherapy. Its impact on functional status and Health Related Quality of Life is a great concern among patients, healthcare professionals and researchers. The primary objective of this systematic review is to determine whether the different chemotherapies affect the association of CRF with individual pro- and anti-inflammatory cytokines. The PRISMA statement guideline has been followed to systematically search and screen article from PubMed and Embase. Recent findings: This review has examined 14 studies which included a total of 1312 patients. These studies assayed 20 different kinds of cytokines. The cytokines interleukin-6, interleukin-1RA, TGF-[beta] and sTNF-R2 were associated with CRF in patients receiving anthracycline-based chemotherapy. However, only interleukin-13 was identified in the taxane-based chemotherapy. Similarly, different sets of cytokines were linked with CRF in patients with chemotherapy regimens containing platinum, cyclophosphamides, topotecan or bleomycin. Summary: This review has identified that cytokines are differentially linked with CRF according to the various types of chemotherapy regimens.

Theatre, networked performance, and notions of ‘democratised’ spectatorship

The potential to cultivate new relationships with spectators has long been cited as a primary motivator for those using digital technologies to construct networked or telematics performances or para-performance encounters in which performers and spectators come together in virtual – or at least virtually augmented – spaces and places. Today, with Web 2.0 technologies such as social media platforms becoming increasingly ubiquitous, and increasingly easy to use, more and more theatre makers are developing digitally mediated relationships with spectators. Sometimes for the purpose of an aesthetic encounter, sometimes for critical encounter, or sometimes as part of an audience politicisation, development or engagement agenda. Sometimes because this is genuinely an interest, and sometimes because spectators or funding bodies expect at least some engagement via Facebook, Twitter or Instagram. In this paper, I examine peculiarities and paradoxes emerging in some of these efforts to engage spectators via networked performance or para-performance encounters. I use examples ranging from theatre, to performance art, to political activism – from ‘cyberformaces’ on Helen Varley Jamieson’s Upstage Avatar Performance Platform, to Wafaa Bilal’s Domestic Tension installation where spectators around the world could use a webcam in a chat room to target him with paintballs while he was in residence in a living room set up in a gallery for a week, as a comment on use of drone technology in war, to Liz Crow’s Bedding Out where she invited people to physically and virtually join her in her bedroom to discuss the impact of an anti-disabled austerity politics emerging in her country, to Dislife’s use of holograms of disabled people popping up in disabled parking spaces when able bodied drivers attempted to pull into them, amongst others. I note the frequency with which these performance practices deploy discourses of democratisation, participation, power and agency to argue that these technologies assist in positioning spectators as co-creators actively engaged in the evolution of a performance (and, in politicised pieces that point to racism, sexism, or ableism, pushing spectators to reflect on their agency in that dramatic or daily-cum-dramatic performance of prejudice). I investigate how a range of issues – from the scenographic challenges in deploying networked technologies for both participant and bystander audiences others have already noted, to the siloisation of aesthetic, critical and audience activation activities on networked technologies, to conventionalised dramaturgies of response informed by power, politics and impression management that play out in online as much as offline performances, to the high personal, social and professional stakes involved in participating in a form where spectators responses are almost always documented, recorded and re-represented to secondary and tertiary sets of spectators via the circulation into new networks social media platforms so readily facilitate – complicate discourses of democratic co-creativity associated with networked performance and para-performance activities.

Modelling Cued-Target Recall using Quantum Inspired Models of Target Activation

This article presents and evaluates Quantum Inspired models of Target Activation using Cued-Target Recall Memory Modelling over multiple sources of Free Association data. Two components were evaluated: Whether Quantum Inspired models of Target Activation would provide a better framework than their classical psychological counterparts and how robust these models are across the different sources of Free Association data. In previous work, a formal model of cued-target recall did not exist and as such Target Activation was unable to be assessed directly. Further to that, the data source used was suspected of suffering from temporal and geographical bias. As a consequence, Target Activation was measured against cued-target recall data as an approximation of performance. Since then, a formal model of cued-target recall (PIER3) has been developed [10] with alternative sources of data also becoming available. This allowed us to directly model target activation in cued-target recall with human cued-target recall pairs and use multiply sources of Free Association Data. Featural Characteristics known to be important to Target Activation were measured for each of the data sources to identify any major differences that may explain variations in performance for each of the models. Each of the activation models were used in the PIER3 memory model for each of the data sources and was benchmarked against cued-target recall pairs provided by the University of South Florida (USF). Two methods where used to evaluate performance. The first involved measuring the divergence between the sets of results using the Kullback Leibler (KL) divergence with the second utilizing a previous statistical analysis of the errors [9]. Of the three sources of data, two were sourced from human subjects being the USF Free Association Norms and the University of Leuven (UL) Free Association Networks. The third was sourced from a new method put forward by Galea and Bruza, 2015 in which pseudo Free Association Networks (Corpus Based Association Networks - CANs) are built using co-occurrence statistics on large text corpus. It was found that the Quantum Inspired Models of Target Activation not only outperformed the classical psychological model but was more robust across a variety of data sources.