Turkey meat and processed products are very popular in Portugal. However, no studies have been made to assess turkey meat quality. The main objective of this study was to evaluate the quality of turkey breast meat in a Portuguese slaughterhouse, differentiating it to obtain better industrial management, performance, and consumer contentment. Nine hundred and seventy-seven male turkeys (from 16 to 20 wk old) from different flocks (BUT 9 and BIG 6) were evaluated to assess meat quality. Turkeys were slaughtered on different days, electrically stunned (225 V/3 s), and scalded in a vertical water bath at 81°C/5 min. On the slaughter line, the pH and temperature were measured on the pectoralis muscle 15 min postmortem. The carcasses were fast-cooled in a tunnel (−2°C/2 m·s⁻¹/90% RH) for 2 h and kept in a refrigeration chamber (0°C/85% RH) until deboning (approximately 24 h postmortem). Color and pH 24 h postmortem (pH₂₄) were measured on the pectoralis major muscle after carcass deboning. Pectoralis major muscles were selected according to criteria used by Barbut (1996) and drip loss, cooking loss, and total pigments analysis were performed on 67 different sliced meat samples. Muscles classified by pH decline rate, called rapid glycolytic, did not present final quality characteristics that could relate them with pale, soft, and exudative- (PSE) like meat, because there was no relationship between pH 15 h postmortem and lightness (L*), drip loss, or cooking loss. The differences, founded on physicochemical characteristics within pectoralis major muscles, allowed us to establish a criteria of turkey meat quality for dark and PSE-like meat, with L* ≤ 44 and pH₂₄ ≥ 5.8 and L* ≥ 50 and pH₂₄ < 5.8, respectively. Based on criteria, the studied population presented 8.1% of carcasses with PSE-like muscles and 12.1% with dark muscles. The association of pH₂₄ and L* as criteria classification can be useful to classify turkey meat quality.

Physical disability is an obstacle to those who suffer with such, as it deprives the individual from participating in routine activities, without relying on the help of others. Although the difficulties faced are of a wide range, one in particular stands out: navigation in internal environments (indoors). In this context, the main motivation of this research is to investigate the use of Mobile Augmented Reality and Beacon technologies to support indoor navigation for wheelchair individuals. Such an initiative is very important since it emphasizes the use of new tools that can provide effective improvements in terms of social inclusion. To evaluate the proposed solution tests were conducted with regular users. One of the novel features implemented includes the ability to identify best routes free of potential hazards such as obstacles and ramps. Results shows that the proposed solution support safe indoor navigation for wheelchair users.

This research demonstration presents an integrated hardware and software platform developed for controlling electric substations, through a virtual environment. Each 3D substation is integrated with the supervision, data acquisition and control center of a real electric energy company. Today, this is pursued on a 2D diagram, lacking intuitiveness. VRCEMIG explores techniques to provide deeper immersion and intuitive interactions in order to support not only training for future employees, but also real time operation. During the demonstration visitors will be able to use different devices such as joystick, gamepad and VR glasses to navigate and operate an electric substation (for training purposes only). This substation belongs to the Brazilian company CEMIG, a research partner.

Augmented Reality is a technology which provides people with more intuitive ways of interaction and visualization, close to those in real world. The amount of applications using Augmented Reality is growing every day, and results can be already seen in several fields such as Education, Training, Entertainment and Medicine. The system proposed in this article intends to provide a friendly and intuitive interface based on Augmented Reality for heart beating evaluation and visualization. Cardiologic data is loaded from several distinct sources: simple standards of heart beating frequencies (for example situations like running or sleeping), files of heart beating signals, scanned electrocardiographs and real time data acquisition of patient's heart beating. All this data is processed to produce visualization within Augmented Reality environments. The results obtained in this research have shown that the developed system is able to simplify the understanding of concepts about heart beating and its functioning. Furthermore, the system can help health professionals in the task of retrieving, processing and converting data from all the sources handled by the system, with the support of an edition and visualization mode.

Key words: Burns; Wound Healing; Rats