178,042 research outputs found
Morphemes as letter chunks: Linguistic information enhances the learning of visual regularities
No full textWe have previously shown that readers use co-occurrence statistics to learn about the presence and position of affix-like chunks in strings of pseudo-letters (Lelonkiewicz, Ktori & Crepaldi, 2020). These findings were taken as evidence that visual statistical learning might be implicated in morphological processing during visual word recognition. The present study seeks to specify this claim by (a) establishing the visual, language-agnostic nature of the underlying learning mechanism and (b) examining it in the presence of higher-order linguistic information. In Experiments 1a and 1b, readers were familiarized with strings of abstract shapes that involved affix-like chunks of frequently co-occurring shapes. We found that readers were sensitive to the presence and position of chunks. Further experiments revealed that presence and position effects were stronger when readers were exposed to letter strings which allowed access to orthographic and phonological representations (Experiments 2a and 2b), and were enhanced by access to semantics (Experiment 3). Our study demonstrates that the learning of visual regularities supports chunk identification both in purely visual and language-like materials, and that the availability of linguistic information enhances this learning
Comparison between Colifast (R) Milk and the standard method for the detection of coliforms in pasteurised milk
No full textColifast(R) Milk is a rapid screening test for the detection of total coliforms in milk based upon the measurement of change in fluorescence during an incubation period, due to the targeted beta-D-galactosidase activity on 4-methyl-umbelliferone-beta-D-galactoside contained in a selective growth medium. In this work, 800 samples of homogenised pasteurised milk, with different fat content (1.5 and 3.5%) and contaminated with various concentrations of coliforms ( from 0.03 to > 10000 CFU . mL(-1)), were analysed in order to compare the results obtained by Colifast(R) Milk with those by the standard method. The effect of the incubation temperature (30 and 39 degreesC) was also investigated. For the totality of samples the correspondence between coliform counts obtained by the two methods was 64% (r(2) = 0.743; P = 0.88). The performance of Colifast(R) Milk was notably affected by the level of contamination, since for samples with coliforms > 10 CFU . mL(-1) the correspondence between the two methods achieved 86% (r(2) = 0.837; P = 0.94) whereas for samples with coliforms less than or equal to10 CFU . mL(-1) it fell to 42% (r(2) = 0.073; P = 0.33). Fat content also influenced the response of the Colifast(R) system since the correspondence decreased from 80% (r(2) = 0.767; P = 0.91) for semi-skimmed milk to 48% (r(2) = 0.724; P = 0.63) for whole milk. Incubation at 30 degreesC improved the recovery of coliforms by Colifast(R) Milk as the correspondence between values obtained with the two methods reached 72% (r(2) = 0.760; P = 0.89) if compared with 56% (r(2) = 0.735; P = 0.87) when the incubation temperature was 39 degreesC. Under these operating conditions the sensitivity showed by the fluorometric method appeared to be not sufficient for the detection of coliforms in pasteurised milk
An effective AMS Top-Down Methodology Applied to the Design of a Mixed-SignalUWB System-on-Chip
No full textThe design of Ultra Wideband (UWB) mixed-signal SoC for localization applications in wireless personal area networks is currently investigated by several researchers. The complexity of the design claims for effective top-down methodologies. We propose a layered approach based on VHDL-AMS for the first design stages and on an intelligent use of a circuit-level simulator for the transistor-level phase. We apply the latter just to one block at a time and wrap it within the system-level VHDL-AMS description. This method allows to capture the impact of circuit-level design choices and non-idealities on system performance. To demonstrate the effectiveness of the methodology we show how the refinement of the design affects specific UWB system parameters such as bit-error rate and localization estimations
The nature of semantic priming by subliminal spatial words: Embodied or disembodied?
No full textTheories of embodied semantics (ES) suggest that a critical part of understanding what a word means consists of simulating the sensorimotor experience related to the word's referent. Some proponents of ES have suggested that sensorimotor activations are mandatory and highly automatic during semantic processing. Evidence supporting this claim comes from masked priming studies showing that unconsciously perceived spatial words (e.g., up, down) can directly modulate action performance on the basis of their meaning. However, a closer look reveals that such priming effects can be explained also in terms of symbolic (disembodied) semantic priming or nonsemantic mechanisms. In this study we sought to understand whether sensorimotor processing takes place during language understanding outside awareness. We used spatial words as a test bed and across 6 experiments we teased apart the possibility that action priming could be explained by: (a) nonsemantic mechanisms, (b) symbolic semantic priming, or (c) embodied semantic priming. The critical finding is that when symbolic and nonsemantic mechanisms were prevented, allowing only for a genuinely embodied semantic priming, no effect was found. Conversely, facilitation emerged in the same experimental paradigm when embodied priming was prevented and symbolic priming was allowed. Despite extensive testing, we found no evidence that unconsciously perceived words can activate sensorimotor processes, although these words are processed up to the semantic level. We thus conclude that sensorimotor activations might need conscious access to emerge during language understanding. (PsycINFO Database Recor
Analisi di geni candidati nelle variazioni quanti-qualitative della frazione lipidica del latte caprino
No full textAppropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Do children (and adults) benefit from a prediction error boost in one-shot word learning?
No full textInfluential theories and computational models suggest error-based learning plays an important role in language acquisition: Children learn new words by generating predictions about upcoming utterances and revising those predictions when they are erroneous. Critically, revising stronger (rather than weaker) predictions should further enhance learning. Although previously demonstrated in adults, such prediction error boost has not been conclusively shown in children. To close this gap, we tested 107 participants between the ages of 5 and 10. We found little evidence that word learning in this age group benefits from a prediction error boost. Moreover, we also failed to replicate previous evidence for such an effect in adults. Based on a detailed task analysis, we suggest the variation in adult findings may be partly explained by differences in encoding strategies and that, relatedly, the protracted development of the episodic memory system might explain why children do not experience robust benefits from having stronger (rather than weaker) predictions disconfirmed
Biomarkers and prognostic stratification in psoriatic arthritis
No full textIn rheumatic diseases, biomarkers may serve as surrogate endpoints for diagnosis, prognosis, disease activity, therapeutic response and disease outcome. In recent years a great effort has been made to identify useful tools to establish early diagnosis, prognosis and therapeutic response especially in rheumatoid arthritis (RA). In psoriatic arthritis (PsA) serological biomarkers have been frequently borrowed from RA, but this approach have sometimes lead to inappropriate choices of biomarkers and incorrect conclusions. Furthermore, the heterogeneous spectrum of articular manifestation of PsA and the variable course of the disease can make diagnosis and prognosis difficult. Recently, the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) identified two key areas for biomarkers development in psoriasis and PsA: the diagnosis of the articular disease in patients with psoriasis and the evaluation of joint damage in PsA. In this review we revised the currently available and the new potential markers for PsA, such as serum, genetic, cellular and histological biomarkers, clinical and imaging data, with particular attention on the prognostic aspect in order to identify progressive disease suitable for a more aggressive treatment
Diabetes mellitus and hypertension: a physiologic basis for a rational therapeutic approach.
No full textThe basic mechanisms that initiate and sustain hypertension in the diabetic population are poorly understood. Obesity, insulin, genetic factors, and abnormalities in calcium homeostasis may contribute, and could be related to an elevated Na+/H+ antiport activity. In the first study described in this investigation, hypertensive subjects with insulin-dependent diabetes mellitus (IDDM) who had an elevated Na+/Li+ countertransport activity were found to have a lower whole body glucose utilization, a lower insulin-stimulated forearm carbohydrate oxidation, larger ultrasound kidney volume, and increased left ventricular mass index when compared with hypertensive IDDM subjects with a normal Na+/Li+ countertransport activity or normotensive IDDM subjects. Thus an elevated Na+/Li+ countertransport activity appears to identify a subset of IDDM patients who are more susceptible to the development of the renal and cardiac complications associated with hypertension. This underlines the importance of choosing an appropriate antihypertensive therapy that will not produce a deterioration in glucose and lipid metabolism. In the second part of the report, results are presented for the treatment of hypertensive patients with non-insulin-dependent diabetes mellitus with doxazosin. The selective alpha 1-inhibitor produced a significant reduction in blood pressure, together with favorable changes in the serum lipid profile. As a result, the calculated risk of developing coronary heart disease was significantly reduced. Throughout the study no patients required a dose reduction or discontinuation of doxazosin because of side effects, and no clinically significant changes in laboratory tests were apparent. Thus doxazosin could be considered a useful antihypertensive agent in hypertensive patients with IDDM who are insulin-resistant and who have renal and cardiac abnormalities
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