Recent advances in adaptive optics (AO) have led to the implementation of wide field-of-view AO systems. A number of wide-field AO systems are also planned for the forthcoming Extremely Large Telescopes. Such systems have multiple wavefront sensors of different types, and usually multiple deformable mirrors (DMs).Here, we report on our experience integrating cameras and DMs with the real-time control systems of two wide-field AO systems. These are CANARY, which has been operating on-sky since 2010, and DRAGON, which is a laboratory adaptive optics realtime demonstrator instrument. We detail the issues and difficulties that arose, along with the solutions we developed. We also provide recommendations for consideration when developing future wide-field AO systems.

Context. Point sources are one of the main contaminants to the recovery of the cosmic microwave background signal at small scales, and their careful detection will be important for the next generation of cosmic microwave background experiments like LiteBird. Aims. We want to develop a method based on fully convolutional networks to detect sources in realistic simulations, and to compare its performance against one of the most used point source detection method in this context, the Mexican hat wavelet 2 (MHW2). The frequencies for our analysis are the 143, 217, and 353 GHz Planck channels. Methods. We produce realistic simulations of point sources at each frequency taking into account potential contaminating signals as the cosmic microwave background, the cosmic infrared background, the Galactic thermal emission, the thermal Sunyaev-Zel'dovich effect, and the instrumental and point source shot noises. We first produce a set of training simulations at 217 GHz to train the neural network that we named PoSeIDoN. Then we apply both PoSeIDoN and the MHW2 to recover the point sources in the validating simulations at all the frequencies, comparing the results by estimating the reliability, completeness, and flux density estimation accuracy. Moreover, the receiver operating characteristic (ROC) curves are computed in order to asses the methods'performance. Results. In the extra-galactic region with a 30 • galactic cut, the neural network successfully recovers point sources at 90% completeness corresponding to 253, 126, and 250 mJy for 143, 217, and 353 GHz respectively. In the same validation simulations the wavelet with a 3σ flux density detection limit recovers point sources up to 181, 102, and 153 mJy at 90% completeness. To reduce the number of spurious sources, we also apply a safer 4σ flux density detection limit, the same as in the Planck catalogues, increasing the 90% completeness levels: 235, 137, and 192 mJy. In all cases PoSeIDoN produces a much lower number of spurious sources with respect to MHW2. As expected, the results on spurious sources for both techniques worsen when reducing the galactic cut to 10 •. Conclusions. Our results suggest that using neural networks is a very promising approach for detecting point sources using data from cosmic microwave background experiments, providing overall better results in dealing with spurious sources with respect to the more usual filtering approaches. Moreover, PoSeIDoN gives competitive results even at the 217 GHz nearby channels where the network was not trained.

Local delivery of OPG-Fc or zoledronate inhibits bone resorption and therefore tooth movement. OPG-Fc was more effective than zoledronate in blocking the action of osteoclasts.

Background: Fragmentation and delayed potentials in the QRS signal of patients have been postulated as risk markers for Sudden Cardiac Death (SCD). The analysis of the high-frequency spectral content may be useful for quantification. Methods: Forty-two consecutive patients with prior history of SCD or malignant arrhythmias (patients) where compared with 120 healthy individuals (controls). The QRS complexes were extracted with a modified Pan-Tompkins algorithm and processed with the Continuous Wavelet Transform to analyze the high-frequency content (85–130 Hz). Results: Overall, the power of the high-frequency content was higher in patients compared with controls (170.9 vs. 47.3 103nV2Hz−1; p = 0.007), with a prolonged time to reach the maximal power (68.9 vs. 64.8 ms; p = 0.002). An analysis of the signal intensity (instantaneous average of cumulative power), revealed a distinct function between patients and controls. The total intensity was higher in patients compared with controls (137.1 vs. 39 103nV2Hz−1s−1; p = 0.001) and the time to reach the maximal intensity was also prolonged (88.7 vs. 82.1 ms; p < 0.001). Discussion: The high-frequency content of the QRS complexes was distinct between patients at risk of SCD and healthy controls. The wavelet transform is an efficient tool for spectral analysis of the QRS complexes that may contribute to stratification of risk.

ResumenSe analiza la implementación de la metodología ABP (Aprendizaje Basado en Problemas o Proyectos) en asignaturas de Dirección de Proyectos de Ingeniería. La aplicación de la metodología ABP con el uso de las nuevas tecnologías de la información y la comunicación (TIC) permite actualizar el aprendizaje de los alumnos, acercándolo al desempeño de su futuro laboral. Se describe la experiencia llevada a cabo en la docencia de la asignatura "Proyectos" impartida en la titulación Ingeniería Industrial de la Escuela Politécnica Superior de Ingeniería de Gijón (EPSIG) de la Universidad de Oviedo, España. Se discuten los resultados obtenidos en base a las aportaciones tanto de los alumnos como del equipo docente. La metodología ABP resulta muy adecuada para el aprendizaje de competencias en el ámbito de la ingeniería, pero exige una definición precisa de objetivos y una adecuada planificación, así como el seguimiento y evaluación continuos del profesor. Palabras clave: educación superior, dirección de proyectos, competencias profesionales, ABP An Update of Teaching/Learning Methods in Project Management Courses AbstractThe implementation of the PBL methodology (Problem or Project Based Learning) in Project Management courses in an engineering degree is analyzed. The PBL methodology that includes new information and communication technologies (ICT), allows updating the learning of the students approaching them to their future professional work. The study-case analyzed is the course "Projects" given for the Industrial Engineering degree of the Higher Polytechnic School of Engineering of Gijón (EPSIG), which belongs to the University of Oviedo in Spain. The results obtained are analyzed according to contributions by both the teaching staff and the students. The PBL methodology is found to be very appropriate for the learning of engineering competences, but it demands a precise definition of objectives and a detailed planning, as well as continuous monitoring and evaluation by the lecturer.