Abstract
Depression is expected to be the disorder with the highest disease burden in high-income countries by the year 2030. ICT4Depression (ICT4D) is a European FP7 project, which aims to contribute to the alleviation of this burden by making use of depression treatment and ICT innovations. In this project we developed an ICT-based system for use in primary care that aims to improve access as well as actual care delivery for depressed adults. Innovative technologies within the ICT4D system include 1) flexible self-help treatments for depression, 2) automatic assessment of the patient using mobile phone and web-based communication 3) wearable biomedical sensor devices for monitoring activities and electrophysiological indicators, 4) computational methods for reasoning about the state of a patient and the risk of relapse (reasoning engine) and 5) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The general objective of the ICT4D project is to test the feasibility and acceptability of the ICT4D system within a pilot study in the Netherlands and in Sweden during 2012 and 2013. © 2012 Interactive Media Institute and IOS Press.

Abstract
In this work, a hybrid interferometer for simultaneous measurement of the partial pressures of O-2 and CO2 mixtures is reported. The sensing head consist in two different interferometers based on a Fabry-Perot cavity and a modal interference configuration. The intrinsic FP cavity was created by splicing a single mode fiber (SMF28) with a graded index fiber section that was then subjected to chemical etching creating a cavity. The second interferometer is based on a splice of a pure silica tube in series with the Fabry-Perot. Due to the design, different sensitivities are achieved for the pressure inducing refractive index changes of each gas. The rms deviations were found to be +/- 0.079 kPa and +/- 0.029 kPa for CO2 and O-2 partial pressure measurements, respectively.

Abstract
The purpose of the study was to examine the reliability, factorial validity evidence, invariance (by gender, type of sport and competitive level) and evidence of convergent validity of the CSAI-2. The total sample consisted of 375 athletes (284 males and 91 females). For evidence of convergent validity, the sample consisted of 163 athletes (115 males and 48 females). The athletes responded to the instruments (CSAI-2 and reduced version of the State Trait Anxiety Inventory - STAI) an hour before starting competitions. The results showed reliability (alpha > .70) and good indices of fit (CFI = .959, GFI = .942 and RMSEA = .044) for the reduced model of 17 items (CSAI-2R). The invariance and the evidence of convergent validity were supported. The Brazilian reduced version of CSAI-2 showed good psychometric properties, supporting its use in Brazilian athletes.

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Abstract
This work focuses on the evaluation of different sensing techniques for the detection of wireless microphones in the UHF band, by means of simulation. The metrics used for the comparisons include probability of detection, probability of false alarm and minimum SNR detected for a given observation time. The energy detector is used as a benchmark against blind detection techniques. As an example, simulation results showed that blind detection algorithms can sense a wireless microphone signal with SNR = -17 dB in a Rayleigh channel, considering 100 ms sensing time, 90 % probability of detection and 10 % probability of false alarm.