Children's recall of words spoken in their first and second language : Effects of Signal-to-Noise Ratio and Reverberation Time

Speech perception runs smoothly and automatically when there is silence in the background, but when the speech signal is degraded by background noise or by reverberation, effortful cognitive processing is needed to compensate for the signal distortion. Previous research has typically investigated the effects of signal-to-noise ratio (SNR) and reverberation time in isolation, whilst few have looked at their interaction. In this study, we probed how reverberation time and SNR influence recall of words presented in participants' first- (L1) and second-language (L2). A total of 72 children (10 years old) participated in this study. The to-be-recalled wordlists were played back with two different reverberation times (0.3 and 1.2 s) crossed with two different SNRs (+3 dBA and +12 dBA). Children recalled fewer words when the spoken words were presented in L2 in comparison with recall of spoken words presented in L1. Words that were presented with a high SNR (+12 dBA) improved recall compared to a low SNR (+3 dBA). Reverberation time interacted with SNR to the effect that at +12 dB the shorter reverberation time improved recall, but at +3 dB it impaired recall. The effects of the physical sound variables (SNR and reverberation time) did not interact with language. © 2016 Hurtig, Keus van de Poll, Pekkola, Hygge, Ljung and Sörqvist.

Visuellt & Auditivt korttidsminne

The aim of the present study was to investigate the effect of sensory modality on short-term memory recall. An exploratory, cross-sectional study was performed. A total of 119 individuals participated. There were 70 female and 49 male subjects, aged 4 to 80 years (M=34,3). The participants were presented with 12 different objects in auditory, visual or auditory/visual mode over a period of 24 seconds. The participants were then asked to recall as many of the 12 objects as possible in any order. The study took place at a day nursery, junior high schools, meetings with elderly and adults with house calls. Non-probability samples were used. The conclusion was that visual short-term memory generated the highest recollection and that adults had the highest mean on the different stimuli. A visual element is recommended at recollection.

Perfectionist Philosophy as a (an Untaken) Way of Life

I am honored to respond to Paul Guyer’s elaboration on the role of examples of perfectionism in Cavell’s and Kant’s philosophies. Guyer’s appeal to Kant’s notion of freedom opens the way for suggestive readings of Cavell’s work on moral perfectionism but also, as I will show, for controversy. There are salient aspects of both Kant’s and Cavell’s philosophy that are crucial to understanding perfectionism and, let me call it, perfectionist education, that I wish to emphasize in response to Guyer. In responding to Guyer’s text, I shall do three things. First, I shall explain why I think it is misleading to speak of Cavell’s view that moral perfectionism is involved in a struggle to make oneself intelligible to oneself and others in terms of necessary and sufficient conditions for moral perfection. Rather, I will suggest that the constant work on oneself that is at the core of Cavell’s moral perfectionism is a constant work for intelligibility. Second, I shall recall a feature of Cavell’s perfectionism that Guyer does not explicitly speak of: the idea that perfectionism is a theme, “outlook or dimension of thought embodied and developed in a set of texts.” Or, as Cavell goes on to say, “there is a place in mind where good books are in conversation. … [W]hat they often talk about … is how they can be, or sound, so much better than the people that compose them.” This involves what I would call a perfectionist conception of the history of philosophy and the kinds of texts we take to belong to such history. Third, I shall sketch out how the struggle for intelligibility and a perfectionist view of engagement with texts and philosophy can lead to a view of philosophy as a form of education in itself. In concluding these three “criticisms,” I reach a position that I think is quite close to Guyer’s, but with a slightly shifted emphasis on what it means to read Kant and Cavell from a perfectionist point of view.

Predictive models for chronic renal disease using decision trees, naïve bayes and case-based methods

Data mining can be used in healthcare industry to “mine” clinical data to discover hidden information for intelligent and affective decision making. Discovery of hidden patterns and relationships often goes intact, yet advanced data mining techniques can be helpful as remedy to this scenario. This thesis mainly deals with Intelligent Prediction of Chronic Renal Disease (IPCRD). Data covers blood, urine test, and external symptoms applied to predict chronic renal disease. Data from the database is initially transformed to Weka (3.6) and Chi-Square method is used for features section. After normalizing data, three classifiers were applied and efficiency of output is evaluated. Mainly, three classifiers are analyzed: Decision Tree, Naïve Bayes, K-Nearest Neighbour algorithm. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. Efficiency of Decision Tree and KNN was almost same but Naïve Bayes proved a comparative edge over others. Further sensitivity and specificity tests are used as statistical measures to examine the performance of a binary classification. Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified while Specificity measures the proportion of negatives which are correctly identified. CRISP-DM methodology is applied to build the mining models. It consists of six major phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.