OBJECTIVE:To assess the validity and reliability of a hand-held indirect calorimeter. DESIGN: Resting metabolic rate (RMR) was measured on two separate mornings. SUBJECTS: A heterogeneous sample of 41 healthy adults. MEASUREMENTS: RMR using both a metabolic cart (Sensormedics 2900, SM-2900) and a hand-held indirect calorimeter (BodyGemt, BG). RESULTS: There were no trial-to-trial differences in RMR measured by the BG (67567163 vs 66977163 kJ/day) or the SM-2900 (64007163 vs 63967167 kJ/day). RMR measured by the BG was significantly higher than that measured by the SM-2900 during both trials. In a sample of 10 subjects, the energy cost of holding the BG in position was determined to be (0.1770.04 kJ/ min, or 255784 kJ/day). After applying this adjustment, the differences between systems were no longer significant during trial 1 (mean difference ¼ 101767 kJ/day) or trial 2 (46775 kJ/day). In overweight and obese individuals, RMR measured by the BodyGemt was more accurate than that estimated by the Harris-Benedict equations. CONCLUSION: The BodyGemt provides valid and reliable measurements of RMR. The BodyGemt produces significantly higher values than the Sensor Medics 2900 indirect calorimeter, with the increase largely due to an increased energy demand required to hold the BG in position.

This study provides evidence that, if digital radiographs are available, the dental image analyzer tool can reliably replace the conventional method for measuring alveolar bone loss in periodontitis patients.

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We present a real-world testbed for research and development in vehicular networking that has been deployed successfully in the sea port of Leixões in Portugal. The testbed allows for cloud-based code deployment, remote network control and distributed data collection from moving container trucks, cranes, tow boats, patrol vessels and roadside units, thereby enabling a wide range of experiments and performance analyses. After describing the testbed architecture and its various modes of operation, we give concrete examples of its use and offer insights on how to build effective testbeds for wireless networking with moving vehicles.