Identificação de operantes verbais constituintes da leitura por meio da análise dos movimentos dos olhos

Eye-movements produce discriminative stimuli for reading. The objective of the present study was to analyze the eye movements of two participants during anagram reading and to identify the verbal behavior involved in it. The task consisted of vocalizing a word composed of five letters. In Phase 1, the letters formed only one possible word when observed in a specific spatial sequence. In Phase 2, the letters formed two or more words via different sequences. In Phase 2, despite the fact that multiple words could be read, the vocalized ones were those formed by the same sequence reinforced in the previous phase. Based on the eye movements, vocalizations were analyzed using the concepts of textual, self-correction and intraverbal behavior.Os movimentos dos olhos produzem estímulos discriminativos para o comportamento de ler. O presente estudo teve por objetivo analisar os movimentos dos olhos de dois participantes durante a leitura de anagramas e identificar os operantes verbais envolvidos. A tarefa consistia em vocalizar uma palavra utilizando cinco letras. Na Fase 1, as letras formavam apenas uma palavra, sempre que observadas em um mesma sequência espacial. Na Fase 2, formavam duas ou mais a partir de diferentes sequências. Na Fase 2, apesar da possibilidade de múltipla formação de palavras, as palavras vocalizadas foram aquelas formadas pela mesma sequência reforçada na fase anterior. Com base nos movimentos dos olhos, as vocalizações foram analisadas à luz dos conceitos de comportamento textual, auto-correção e intraverbal

A community effort in SARS-CoV-2 drug discovery.

peer reviewedThe COVID-19 pandemic continues to pose a substantial threat to human lives and is likely to do so for years to come. Despite the availability of vaccines, searching for efficient small-molecule drugs that are widely available, including in low- and middle-income countries, is an ongoing challenge. In this work, we report the results of an open science community effort, the "Billion molecules against Covid-19 challenge", to identify small-molecule inhibitors against SARS-CoV-2 or relevant human receptors. Participating teams used a wide variety of computational methods to screen a minimum of 1 billion virtual molecules against 6 protein targets. Overall, 31 teams participated, and they suggested a total of 639,024 molecules, which were subsequently ranked to find 'consensus compounds'. The organizing team coordinated with various contract research organizations (CROs) and collaborating institutions to synthesize and test 878 compounds for biological activity against proteases (Nsp5, Nsp3, TMPRSS2), nucleocapsid N, RdRP (only the Nsp12 domain), and (alpha) spike protein S. Overall, 27 compounds with weak inhibition/binding were experimentally identified by binding-, cleavage-, and/or viral suppression assays and are presented here. Open science approaches such as the one presented here contribute to the knowledge base of future drug discovery efforts in finding better SARS-CoV-2 treatments.R-AGR-3826 - COVID19-14715687-CovScreen (01/06/2020 - 31/01/2021) - GLAAB Enric

Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication

Improvements in Aerosol Optical Depth Estimation Using Multiangle CHRIS/PROBA Images

A method has been developed to estimate aerosol optical depth (AOD) over land surfaces using high spatial resolution, hyperspectral, and multiangle Compact High Resolution Imaging Spectrometer (CHRIS)/Project for On Board Autonomy (PROBA) images. The CHRIS instrument is mounted aboard the PROBA satellite and provides up to 62 bands. The PROBA satellite allows pointing to obtain imagery from five different view angles within a short time interval. The method uses inversion of a coupled surface/atmosphere radiative transfer model and includes a general physical model of angular surface reflectance. An iterative process is used to determine the optimum value providing the best fit of the corrected reflectance values for a number of view angles and wavelengths with those provided by the physical model. This method has previously been demonstrated on data from the Advanced Along-Track Scanning Radiometer and is extended here to the spectral and angular sampling of CHRIS/PROBA. The values obtained from these observations are validated using ground-based sun-photometer measurements. Results from 22 image sets show an rms error of 0.11 in AOD at 550 nm, which is reduced to 0.06 after an automatic screening procedure

Identifying verbal operants in reading by means of eye movement analysis

Os movimentos dos olhos produzem estímulos discriminativos para o comportamento de ler. O presente estudo teve por objetivo analisar os movimentos dos olhos de dois participantes durante a leitura de anagramas e identificar os operantes verbais envolvidos. A tarefa consistia em vocalizar uma palavra utilizando cinco letras. Na Fase 1, as letras formavam apenas uma palavra, sempre que observadas em uma mesma sequência espacial. Na Fase 2, formavam duas ou mais a partir de diferentes sequências. Na Fase 2, apesar da possibilidade de múltipla formação de palavras, as palavras vocalizadas foram aquelas formadas pela mesma sequência reforçada na fase anterior. Com base nos movimentos dos olhos, as vocalizações foram analisadas à luz dos conceitos de comportamento textual, auto-correção e intraverbal.Eye-movements produce discriminative stimuli for reading. The objective of the present study was to analyze the eye movements of two participants during anagram reading and to identify the verbal behavior involved in it. The task consisted of vocalizing a word composed of five letters. In Phase 1, the letters formed only one possible word when observed in a specific spatial sequence. In Phase 2, the letters formed two or more words via different sequences. In Phase 2, despite the fact that multiple words could be read, the vocalized ones were those formed by the same sequence reinforced in the previous phase. Based on the eye movements, vocalizations were analyzed using the concepts of textual, self-correction and intraverbal behavior

Identificação de operantes verbais constituintes da leitura por meio da análise dos movimentos dos olhos

Os movimentos dos olhos produzem estímulos discriminativos para o comportamento de ler. O presente estudo teve por objetivo analisar os movimentos dos olhos de dois participantes durante a leitura de anagramas e identificar os operantes verbais envolvidos. A tarefa consistia em vocalizar uma palavra utilizando cinco letras. Na Fase 1, as letras formavam apenas uma palavra, sempre que observadas em uma mesma sequência espacial. Na Fase 2, formavam duas ou mais a partir de diferentes sequências. Na Fase 2, apesar da possibilidade de múltipla formação de palavras, as palavras vocalizadas foram aquelas formadas pela mesma sequência reforçada na fase anterior. Com base nos movimentos dos olhos, as vocalizações foram analisadas à luz dos conceitos de comportamento textual, auto-correção e intraverbal