Early Sensitivity to Fearful Faces in 3.5 Months Infants

<p>Poster presented at the 2015 Biennial Meeting of the Society for Research in Child Development (SRCD), Philadelphia, USA.</p

Do Fearful Expressions Facilitate Detection of Faces in Young Infants?

Poster presented at ICIS 2016, New-Orleans, USA.<div>http://dx.doi.org/10.6084/m9.figshare.3386281<div><br></div></div

Data from: Fearful but not Happy Expressions Boost Face Detection in Human Infants

Primary and processed data for: <div><br><div>Bayet, Quinn, Laboissière, Caldara, Lee, & Pascalis. <br>Fearful but not Happy Expressions Boost Face Detection in Human Infants. Proceedings of the Royal Society B: Biological Sciences. doi: 10.1098/rspb.2017.1054<p></p></div><p></p></div

Supplementary Figures and Tables from Fearful but not happy expressions boost face detection in human infants

Human adults show an attentional bias towards fearful faces, an adaptive behaviour that relies on amygdala function. This attentional bias emerges in infancy between 5 and 7 months, but the underlying developmental mechanism is unknown. To examine possible precursors, we investigated whether 3.5-, 6- and 12-month-old infants show facilitated <i>detection</i> of fearful faces in noise, compared to happy faces. Happy or fearful faces, mixed with noise, were presented to infants (<i>N</i> = 192), paired with pure noise. We applied multivariate pattern analyses to several measures of infant looking behaviour to derive a criterion-free, continuous measure of face detection evidence in each trial. Analyses of the resulting psychometric curves supported the hypothesis of a detection advantage for fearful faces compared to happy faces, from 3.5 months of age and across all age groups. Overall, our data show a readiness to detect fearful faces (compared to happy faces) in younger infants that developmentally precedes the previously documented attentional bias to fearful faces in older infants and adults

Factors increasing efficiency of deammonification process for nitrogen removal from mainstream wastewater.

In recent years, the use of Anammox process for wastewater treatment has been thoroughly investigated. Currently, a major challenge is to use this process for the mainstream. The aim of this study is to find factors increasing efficiency of the deammonification process for nitrogen removal from mainstream wastewater in conditions of low ammonia concentration and low temperatures. Two types of lab-scale batch tests were done and obtained results were analysed separately. In the first lab-scale batch test suspended sludge was used and series of OUR tests were carried out. Inhibitors used during experiments were: FNA, FA, NaClO3, fresh UASB effluent and formic acid. The best results, after all tests obtained for using the free nitrous acid as an inhibitor. Results shows that NOB bacterial activity was inhibited, while AOB activity was still high. The second type of lab-scale batch test was used to check interactions between factors which have impact for the NOB suppression. Selected factors were: pH, DO and TAN and these factors were used to plan a series of experiments with MODDE application. After series of 34 experiments, results showed that this method is not effective for low concentrations of TAN and another, more efficient strategy is needed. New strategy should reduce the NOB activity or increase the activity of Anammox. It is difficult to find a good strategy to carry out this process because many factors are affecting it. Using the results, it is necessary to conduct further research, which will give indications to use the deammonification process for mainstream wastewater and will let to achieve good results

Results for Experiment 1: Face-name association learning with naturalistic stimuli.

<p>Results for Experiment 1: Face-name association learning with naturalistic stimuli.</p

Individual subjects’ results for Experiment 1: Face-name association learning with naturalistic stimuli.

<p>Subjects’ learning times (left) and overall recognition scores (right; subjects received .5 points per correctly recalled name). Individual controls are depicted in yellow to red colors, in order to relate their learning times to the respective scores obtained; SMs’ performance is displayed as black (SM1) and blue (SM2) lines and circles, respectively.</p

Individual subjects’ results for Experiment 1: Face-name association learning with naturalistic stimuli.

<p>Subjects’ learning times (left) and overall recognition scores (right; subjects received .5 points per correctly recalled name). Individual controls are depicted in yellow to red colors, in order to relate their learning times to the respective scores obtained; SMs’ performance is displayed as black (SM1) and blue (SM2) lines and circles, respectively.</p

Experimental design and results for Experiment 5: Face inversion effect (FIE).

<p><b>a.</b> Examples of stimuli presented on a given trial (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150972#sec002" target="_blank">Methods</a>). <b>b.</b> Controls’ average decrease in accuracy related to inversion as a function of face part attended. Individual subjects’ accuracy and RT advantage for upright over inverted face matching when attending <b>c.</b> the eyes and <b>d.</b> the mouth. Note that SMs’ performance decreases (SM1: black; SM2: blue) were not significantly different from those observed for controls.</p

R.antirrhiniCOII-AlignmentNexus.txt

Nexus file of COII sequence