A critical evaluation of written discharge advice for people with mild traumatic brain injury : what should we be looking for?

Objective: To formally evaluate the written discharge advice for people with mild traumatic brain injury (mTBI). Methods: Eleven publications met the inclusion criteria: (1) intended for adults; (2) ≤two A4 pages; (3) published in English; (4) freely accessible; and (5) currently used (or suitable for use) in Australian hospital emergency departments or similar settings. Two independent raters evaluated the content and style of each publication against established standards. The readability of the publication, the diagnostic term(s) contained in it and a modified Patient Literature Usefulness Index (mPLUI) were also evaluated. Results: The mean content score was 19.18 ± 8.53 (maximum = 31) and the mean style score was 6.8 ± 1.34 (maximum = 8). The mean Flesch-Kincaid reading ease score was 66.42 ± 4.3. The mean mPLUI score was 65.86 ± 14.97 (maximum = 100). Higher scores on these metrics indicate more desirable properties. Over 80% of the publications used mixed diagnostic terminology. One publication scored optimally on two of the four metrics and highly on the others. Discussion: The content, style, readability and usefulness of written mTBI discharge advice was highly variable. The provision of written information to patients with mTBI is advised, but this variability in materials highlights the need for evaluation before distribution. Areas are identified to guide the improvement of written mTBI discharge advice.

The edge of glory: the relationship between metacritic scores and player experience

This study sought to examine how measures of player experience used in videogame research relate to Metacritic Professional and User scores. In total, 573 participants completed an online survey, where they responded the Player Experience of Need Satisfaction (PENS) and the Game Experience Questionnaire (GEQ) in relation to their current favourite videogame. Correlations among the data indicate an overlap between the player experience constructs and the factors informing Metacritic scores. Additionally, differences emerged in the ways professionals and users appear to allocate game ratings. However, the data also provide clear evidence that Metacritic scores do not reflect the full complexity of player experience and may be misleading in some cases.

Towards a consistent definition of a significant delta troponin with z-scores: A way out of chaos?

Aims: We assessed the diagnostic performance of z-scores to define a significant delta cardiac troponin (cTn) in a cohort of patients with well-defined clinical outcomes. Methods: We calculated z-scores, which are dependent on the analytical precision and biological variation, to report changes in cTn. We compared the diagnostic performances of a relative delta (%Δ), actual delta (Δ), and z-scores in 762 emergency department patients with symptoms of suspected acute coronary syndrome. cTn was measured with sensitive cTnI (Beckman Coulter), highly sensitive cTnI (Abbott), and highly sensitive cTnT (Roche) assays. Results: Receiver operating characteristic analysis showed no statistically significant differences in the areas under the curve (AUC) of z-scores and Δ with both superior compared to %Δ for all three assays (p<0.001). The AUCs of z-scores measured with the Abbott hs-cTnI (0.955) and Roche hs-cTnT (0.922) assays were comparable to Beckman Coulter cTnI (0.933) (p=0.272 and 0.640, respectively). The individualized Δ cut-off values that were required to emulate a z-score of 1.96 were: Beckman Coulter cTnI 30 ng/l, Abbott hs-cTnI 20 ng/l, and Roche hs-cTnT 7 ng/l. Conclusions: z-scores allow the use of a single cut-off value at all cTn levels, for both cTnI and cTnT and for sensitive and highly sensitive assays, with comparable diagnostic performances. This strategy of reporting significant changes as z-scores may obviate the need for the empirical development of assay-specific cut-off rules to define significant troponin changes.

ATAR scores only part of the picture for teaching

A common debate has resurfaced over teacher quality and the quality of teacher education in Australia. This time it was started by a leaked draft report into teacher education from the Australian Institute of Teaching and School Leadership (AITSL) which the public can’t expect to see for at least another month. Media reports have all focused on one aspect of the wide-ranging report: teaching students' ATARs.

Style and Readability in Football Texts

Tutkielmassa tarkastellaan jalkapallokieltä erikoiskielenä tyylintutkimuksen näkökulmasta. Tutkimusaineistoksi on valittu kuusi noin 2000 sanan pituista otosta erilaisista jalkapalloa käsittelevistä teksteistä, joista kolme on kirjoitettu suomeksi ja kolme englanniksi. Työssä pyritään selvittämään, mitä eroa yleiskieltä lähestyvillä ja erikoiskieliksi katsottavilla jalkapalloteksteillä on ja kuinka jalkapallokieli erikoiskielenä vertautuu muihin erikoiskieliin. Tutkimukseen sisältyy lisäksi tutkittuja tekstejä koskeva kyselyosio. Lopuksi pohditaan sitä, mitä merkitystä saadulla tiedolla on kääntämiselle. Käytetty tutkimustapa on luonteeltaan melko kvantitatiivinen, ja se pohjautuu pitkälti käsityksiin hyvästä luettavuudesta. Ensin teksteistä lasketaan keskimääräinen lausepituus, eri sanaluokkien frekvenssejä sekä aktiivi- ja passiivimuodossa olevien verbien suhde. Tämän jälkeen pohditaan, mitä merkitystä tuloksilla voisi olla tekstien tyylille ja luettavuudelle. Tekstit annetaan vielä luettaviksi koehenkilöille, jotka vastaavat tekstit luettuaan tyyliä ja luettavuutta koskevaan kyselyyn. Lopulta kyselyn tuloksia verrataan tyylianalyysin avulla saatuihin tuloksiin. Analysoiduista teksteistä saadut tulokset eivät vastaa aiemmin erikoiskielistä saatuja tuloksia, eikä jalkapallon erikoiskielestä synny kiistatonta kokonaiskuvaa. Substantiivien määrä etenkin suomenkielisissä jalkapalloteksteissä on niin suuri, että se vaikuttaa tekstien luettavuuteen ja tyyliin. Teksteissä käytetyt virkkeet eivät toisaalta ole kovin pitkiä tai monimutkaisia, mikä yhdistää jalkapallokieltä ja muissa urheilulajeissa käytettyä kieltä. Englanninkielisissä teksteissä käytetään enemmän adjektiiveja ja anaforista viittausta kuin suomenkielisissä, mikä on huomionarvoista käännöksissä, koska suomalaisilla kirjoittajilla vaikuttaisi analysoitujen tekstien perusteella todellakin olevan taipumusta substantiivien liialliseen käyttöön. Kyselystä saadut tulokset eivät vastaa frekvenssianalyyseistä saatuja tuloksia, ja kysely paljastaa myös sen, ettei lukunopeus ole aina luotettava luettavuuden mittari. Jos aihetta tutkittaisiin lisää, olisi tutkimusaineiston syytä olla laajempi, jotta saataisiin kouriintuntuvampia tuloksia. Mikäli tutkitaan myös tekstien luettavuutta, on syytä ottaa huomioon, ettei lukunopeuden mittaaminen ole välttämättä luotettava menetelmä luettavuuden toteamiseksi. Avainsanat Nyckelord Keywords Tyyli, luettavuus, rekisteri, tekstilaji, erikoiskielet, tyylintutkimus Säilytyspaikka Förvaringställe Where deposited Käännöstieteen laitoksen kirjasto

The influence of pre-processing on the estimation of readability of web documents

This paper investigates the effect that text pre-processing approaches have on the estimation of the readability of web pages. Readability has been highlighted as an important aspect of web search result personalisation in previous work. The most widely used text readability measures rely on surface level characteristics of text, such as the length of words and sentences. We demonstrate that different tools for extracting text from web pages lead to very different estimations of readability. This has an important implication for search engines because search result personalisation strategies that consider users reading ability may fail if incorrect text readability estimations are computed.

Developing and testing readability measurements for second language learners

This research constructed a readability measurement for French speakers who view English as a second language. It identified the true cognates, which are the similar words from these two languages, as an indicator of the difficulty of an English text for French people. A multilingual lexical resource is used to detect true cognates in text, and Statistical Language Modelling to predict the predict the readability level. The proposed enhanced statistical language model is making a step in the right direction by improving the accuracy of readability predictions for French speakers by up to 10% compared to state of the art approaches. The outcome of this study could accelerate the learning process for French speakers who are studying English. More importantly, this study also benefits the readability estimation research community, presenting an approach and evaluation at sentence level as well as innovating with the use of cognates as a new text feature.

Performance evaluation of AR4 Climate Models in simulating daily precipitation over the Indian region using skill scores

The ability of Coupled General Circulation Models (CGCMs) participating in the Intergovernmental Panel for Climate Change's fourth assessment report (IPCC AR4) for the 20th century climate (20C3M scenario) to simulate the daily precipitation over the Indian region is explored. The skill is evaluated on a 2.5A degrees x 2.5A degrees grid square compared with the Indian Meteorological Department's (IMD) gridded dataset, and every GCM is ranked for each of these grids based on its skill score. Skill scores (SSs) are estimated from the probability density functions (PDFs) obtained from observed IMD datasets and GCM simulations. The methodology takes into account (high) extreme precipitation events simulated by GCMs. The results are analyzed and presented for three categories and six zones. The three categories are the monsoon season (JJASO - June to October), non-monsoon season (JFMAMND - January to May, November, December) and for the entire year (''Annual''). The six precipitation zones are peninsular, west central, northwest, northeast, central northeast India, and the hilly region. Sensitivity analysis was performed for three spatial scales, 2.5A degrees grid square, zones, and all of India, in the three categories. The models were ranked based on the SS. The category JFMAMND had a higher SS than the JJASO category. The northwest zone had higher SSs, whereas the peninsular and hilly regions had lower SS. No single GCM can be identified as the best for all categories and zones. Some models consistently outperformed the model ensemble, and one model had particularly poor performance. Results show that most models underestimated the daily precipitation rates in the 0-1 mm/day range and overestimated it in the 1-15 mm/day range.

A confidence-based approach for improving keyword hypothesis scores

The task in keyword spotting (KWS) is to hypothesise times at which any of a set of key terms occurs in audio. An important aspect of such systems are the scores assigned to these hypotheses, the accuracy of which have a significant impact on performance. Estimating these scores may be formulated as a confidence estimation problem, where a measure of confidence is assigned to each key term hypothesis. In this work, a set of discriminative features is defined, and combined using a conditional random field (CRF) model for improved confidence estimation. An extension to this model to directly address the problem of score normalisation across key terms is also introduced. The implicit score normalisation which results from applying this approach to separate systems in a hybrid configuration yields further benefits. Results are presented which show notable improvements in KWS performance using the techniques presented in this work. © 2013 IEEE.