Individual differences in attention control and the processing of phonological contrasts in a second language.

This study investigated attention control in L2 phonological processing from a cognitive individual differences perspective, to determine its role in predicting phonological acquisition in adult L2 learning. Participants were 21 L1-Spanish learners of English, and 19 L1-English learners of Spanish. Attention control was measured through a novel speech-based attention-switching task. Phonological processing was assessed through a speeded ABX categorization task (perception) and a delayed sentence repetition task (production). Correlational analyses indicated that learners with more efficient attention switching skill and faster speed in correctly identifying the target phonetic features in the speech dimension under focus could perceptually discriminate L2 vowels at higher processing speed, but not at higher accuracy rates. Thus, attentional flexibility provided a processing advantage for difficult L2 contrasts but did not predict the extent to which precise representations for the target L2 vowels had been established. However, attention control was related to L2 learners' ability to distinguish the contrasting L2 vowels in production. In addition, L2 learners' accuracy in perceptually distinguishing between two contrasting vowels was significantly related to how much of a quality distinction between them they could make in production.

Training the pronunciation of L2 vowels under different conditions: the use of non-lexical materials and masking noise.

The current study extends traditional perceptual high-variability phonetic training (HVPT) in a foreign language learning context by implementing a comprehensive training paradigm that combines perception (discrimination and identification) and production (immediate repetition) training tasks and by exploring two potentially enhancing training conditions: the use of non-lexical training stimuli and the presence of masking noise during production training. We assessed training effects on L1-Spanish/Catalan bilingual EFL learners' production of a difficult English vowel contrast (/æ/-/ʌ/). The participants (N = 62) were randomly assigned to either non-lexical (N = 24) or lexical (N = 24) training and were further subdivided into two groups, one trained in noise (N = 12) and one in silence (N = 12). An untrained control group (N = 14) was also tested. Training gains, measured through spectral distance scores (Euclidean distances) with respect to native speakers' productions of /æ/ and /ʌ/, were assessed through delayed word and sentence repetition tasks. The results showed an advantage of non-lexical training over lexical training, detrimental effects of noise for participants trained with nonwords, but not for those trained with words, and less accurate production of vowels elicited in isolated words than in words embedded in sentences, where training gains were only observable for participants trained with nonwords.

Analysis of Homeopathic Genus Epidemicus for COVID-19 Patients in Spain.

BACKGROUND: Homeopathy has had documented success treating epidemics in the last two centuries. We aimed to obtain a clear homeopathic clinical picture of coronavirus disease 2019 (COVID-19) and postulate the genus epidemicus of the disease in order to inform and enhance future treatment and prophylaxis options. METHODS: We conducted a prospective case series study, collecting data from 19 homeopaths in Catalonia, Spain, from patients who presented with fever and/or cough and/or breathlessness and/or confirmed COVID-19 infection or close contact with a confirmed case. We included 107 patients, and data were recorded through a checklist questionnaire on the day of the case analysis and at day 10-15 after commencing treatment. Symptoms were collected and analyzed with the help of homeopathic repertories. RESULTS: A total of 103 cases were mild or moderate; four were severe. The severe cases were excluded from the analysis and the 103 mild and moderate cases were analyzed and a clear overall clinical picture with mental, general, and particular symptoms was achieved. Eighty-eight cases had a complete recorded follow-up. The most prescribed medicines were Bry, Ars, Phos and Gels, whilst those with the best rates of good response were Sulph, Puls and Bry. Time to full recovery after homeopathic treatment ranged from 3.5 to 14.4 days, depending on the medicine used. The potency 200c was associated with faster rates of full recovery and a lesser need to change remedy. CONCLUSION: We have defined the symptomatic homeopathic characteristics of mild and moderate COVID-19 in Spain and established a set of medicines that might be useful to consider as effective genus epidemicus.

3DBionotes COVID-19 edition.

SUMMARY: The web platform 3DBionotes-WS integrates multiple web services and an interactive web viewer to provide a unified environment in which biological annotations can be analyzed in their structural context. Since the COVID-19 outbreak, new structural data from many viral proteins have been provided at a very fast pace. This effort includes many cryogenic electron microscopy (cryo-EM) studies, together with more traditional ones (X-rays, NMR), using several modeling approaches and complemented with structural predictions. At the same time, a plethora of new genomics and interactomics information (including fragment screening and structure-based virtual screening efforts) have been made available from different servers. In this context, we have developed 3DBionotes-COVID-19 as an answer to: (i) the need to explore multiomics data in a unified context with a special focus on structural information and (ii) the drive to incorporate quality measurements, especially in the form of advanced validation metrics for cryo-EM. AVAILABILITY AND IMPLEMENTATION: https://3dbionotes.cnb.csic.es/ws/covid19. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Presaging critical residues in protein interfaces-web server (PCRPi-W): a web server to chart hot spots in protein interfaces.

BACKGROUND: It is well established that only a portion of residues that mediate protein-protein interactions (PPIs), the so-called hot spot, contributes the most to the total binding energy, and thus its identification is an important and relevant question that has clear applications in drug discovery and protein design. The experimental identification of hot spots is however a lengthy and costly process, and thus there is an interest in computational tools that can complement and guide experimental efforts. PRINCIPAL FINDINGS: Here, we present Presaging Critical Residues in Protein interfaces-Web server (http://www.bioinsilico.org/PCRPi), a web server that implements a recently described and highly accurate computational tool designed to predict critical residues in protein interfaces: PCRPi. PRCPi depends on the integration of structural, energetic, and evolutionary-based measures by using Bayesian Networks (BNs). CONCLUSIONS: PCRPi-W has been designed to provide an easy and convenient access to the broad scientific community. Predictions are readily available for download or presented in a web page that includes among other information links to relevant files, sequence information, and a Jmol applet to visualize and analyze the predictions in the context of the protein structure.