Plant and buffer state estimation for networked predictive control over multiple erasure channels.

This paper investigates optimal estimation for networked control systems composed of linear, time-variant, and multi-input multi-output (MIMO) plants that communicate with the controller over multiple independent erasure channels. In the controller-to-plant link, we cope with data losses by considering a networked predictive control strategy in which the controller not only sends the current control inputs to the actuators, but also sequences of predicted control inputs at every time step. These are stored in buffers located at the corresponding actuator side, with the aim of being used in case of data loss.

Comparison of the hypotensor effect between latanoprost versus selective laser trabeculoplasty obtained with the water drinking test.

Purpose: Glaucoma is the main cause of irreversible blindness worldwide. Peak intraocular pressure is one of the main risk factors for glaucoma progression, and intraocular pressure reduction remains the only therapeutic strategy for all types of glaucoma. The main purpose of our study was to compare the baseline and peak intraocular pressure reduction obtained with the water drinking test between the two eyes of the same patients using 0.

[Profile of children and adolescents admitted to a Burn Care Unit in the countryside of the state of São Paulo].

Objective:: To describe the profile of pediatric burn victims hospitalized at Hospital-Escola Padre Albino (HEPA), in Catanduva, São Paulo, Brazil.

Methods:: This was a cross-sectional, retrospective study analyzing 446 medical records of patient aged 0-18 years old hospitalized in the Burn Care Unit of HEPA, from 2002 to 2012. The following variables were recorded: demographic data, skin burn causes, lesions characteristics, complications, surgical procedures, length of hospital stay, and outcome.

Muecas: a multi-sensor robotic head for affective human robot interaction and imitation.

This paper presents a multi-sensor humanoid robotic head for human robot interaction. The design of the robotic head, Muecas, is based on ongoing research on the mechanisms of perception and imitation of human expressions and emotions. These mechanisms allow direct interaction between the robot and its human companion through the different natural language modalities: speech, body language and facial expressions.