Search

Materials, Analyses Code, and Data for the project "When Faces and Voices Come Together".

This study aims at replicating the findings observed in Mattavelli, Masi, & Brambilla (2021, Study 1 and 3) with different context stimuli

This study will investigate impression updating of behaviour-based impressions with faces and voices.

This study investigates the role of three distinct facial emotions on face-context integration

This project investigates how people make inferences on trustworthiness based on the integration between emotional faces and contexts

Materials and analysis code for the paper "Multimodal cues to change your mind".

We investigate the role of instructed relational qualifier on the impact of threatening (vs. neutral) contexts on facial trustworthiness

This study investigates the impact of a learning procedure aimed to manipulate the nature of the relationship between faces and contexts on the attribution of trustworthiness to faces.

This project investigates the role of perceived similarity on impression formation towards pairs of individuals responsible for valenced behaviors

We investigate the relationship between the dimensions of threat and trustworthiness by looking at the impact of threatening (vs reassuring) contexts on the attribution of trustworthiness to faces.

This study investigated the impact of human vs. non-human threatening context on the attribution of trustworthiness to individuals varying in facial trustworthiness and gender

In two studies, we demonstrated that the percetion of the facial trustworthiness could be biased when accompanied with threatening auditory contextual stimuli.

We investigate the impact of threatening contexts that either do or do not refer to scenes attributable to humans on attribution of trustworthiness from faces

Supplemental material, sj-docx-1-jls-10.1177_0261927X221111382 for When Fluency Matters: The Interplay between Categorization Fluency and Gender Atypicality on Gaydar Judgments by Matteo Masi and Fabio Fasoli in Journal of Language and Social Psychology

Supplemental material, sj-docx-1-psp-10.1177_01461672211065933 for Not Just About Faces in Context: Face���Context Relation Moderates the Impact of Contextual Threat on Facial Trustworthiness by Simone Mattavelli, Matteo Masi and Marco Brambilla in Personality and Social Psychology Bulletin

This study investigates the role of three distinct facial emotions on face-context integration

A numerical model describing transport of multiple species and chemical reactions during electrokinetic treatment is presented. The transport mechanisms included in the model were electromigration and electroosmosis. The chemical reactions taken into account were water electrolysis at the electrodes, aqueous species complexation, precipitation, and dissolution. The model was applied to simulate experimental data from an acid-enhanced electrokinetic treatment of a Pb-contaminated calcareous soil. The kinetics of the main pH buffering process (i.e., calcite dissolution) was taken into account and its time-dependent behavior was described by a rate law. The influence of kinetics was evaluated by comparing the results from a set of simulations in which calcite dissolution was implemented considering thermodynamic equilibrium and another set in which the same reaction was described by the rate law. The results show that the prediction capability of the model significantly improves when the kinetic rate is taken into account. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.

Dredging activities in harbours are needed for the maintenance of waterways. When dredged sediments are polluted, selection of the best intervention strategy is critical. In most cases, sediment treatment is a necessity prior to their relocation or reuse. Electrokinetic remediation can be applied in such situations, especially when most technologies are expected to fail, as in the presence of heavy metal-contaminated sediments with low hydraulic conductivity. However, due to the complexity of the mechanisms involved, the implementation of this remediation technique is troublesome because tools for reliable process prediction and design are not currently available. The present research aimed at developing a simulation-based methodology for application to the optimisation of the design of electrokinetic systems. A set of laboratory electrokinetic tests was carried out in order to identify the main parameters and processes affecting the removal of heavy metals from real contaminated sediments. A numerical model was implemented to simulate transport of multiple species and geochemical reactions occurring during treatment and it was applied to reproduce the results of the laboratory tests. The main phenomena described by the model were: (1) species transport by diffusion, electromigration and electroosmosis, (2) pH-dependent buffering of hydrogen ions, (3) adsorption of contaminants onto sediment particle surfaces, (4) aqueous speciation and (5) formation and dissolution of solid precipitates. A constitutive relationship between zeta-potential and pH was calibrated and applied to compute the electroosmotic flow. A good agreement was found between simulations of pH, electroosmotic flow and experimental results. The predicted concentration profiles of residual metals in the sediment were also close to experimental profiles for all of the investigated metals (Pb, Zn and Ni). Some removal overestimation was observed, possibly due to the significant metal content bound to residual fraction. The model was then applied to simulate electrokinetic processes at field scale. Model geometry and boundary conditions were scaled up to simulate sediment treatment in a 150 m3 demonstrative ex-situ plant. Field measurements demonstrated that a two-dimensional schematisation of the electric field could simulate the actual electric field with enough accuracy. Simulations were performed to reproduce acid front migration and lead transport. The agreement between observed and simulated pH profiles was satisfactory, thus validating the reliability of the adopted modelling approach. Finally, a parametric study was carried out to evaluate the influence of model parameters on the simulation results. The effects of inter-electrode distance and sediment buffering capacity were studied. Simulations allowed us to calculate lead removal rates as a function of time. After defining consumable costs (i.e., energy expenditure, acid consumption, electrode and pipe costs), cost curves were calculated from simulation results. The resulting curves allowed us to identify the optimum design parameters which minimised the overall costs. The results obtained can serve as a valuable tool to support evaluation and design of electrokinetic remediation systems.