The galactic unclassified B[e] star HD 50138. I. A possible new shell phase

The observed spectral variation of HD 50138 has led different authors to classify it in a very wide range of spectral types and luminosity classes (from B5 to A0 and III to Ia) and at different evolutionary stages as either HAeBe star or classical Be. Aims: Based on new high-resolution optical spectroscopic data from 1999 and 2007 associated to a photometric analysis, the aim of this work is to provide a deep spectroscopic description and a new set of parameters for this unclassified southern B[e] star and its interstellar extinction. Methods: From our high-resolution optical spectroscopic data separated by 8 years, we perform a detailed spectral description, presenting the variations seen and discussing their possible origin. We derive the interstellar extinction to HD 50138 by taking the influences of the circumstellar matter in the form of dust and an ionized disk into account. Based on photometric data from the literature and the new Hipparcos distance, we obtain a revised set of parameters for HD 50138. Results: Because of the spectral changes, we tentatively suggest that a new shell phase could have taken place prior to our observations in 2007. We find a color excess value of E(B-V) = 0.08 mag, and from the photometric analysis, we suggest that HD 50138 is a B6-7 III-V star. A discussion of the different evolutionary scenarios is also provided.Comment: Paper accepted for publication in A&A main journal (12 pages, 16 figures and a 3 pages-table). Language corrected versio

On the evolutionary stage of the unclassified B[e] star CD-42o11721

The star CD-42o11721 is a curious B[e] star sometimes pointed as an evolved B[e] supergiant and sometimes as a young HAeBe star, due to very uncertain or even unknown stellar parameters, especially the distance. In this paper, we present new data gained from high-resolution optical spectroscopy and a detailed description of IR data of this star. We present a qualitative study of the numerous emission lines in our optical spectra and the classification of their line profiles, which indicate a non-spherically symmetric circumstellar environment. The first real detection of numerous [Fe II] emission lines and of many other permitted and forbidden emission lines is reported. From our optical data, we derive an effective temperature of 14000 K, a radius of 17.3 +/- 0.6 Rsun, as well as a luminosity of 1.0 +/- 0.3 x 10^{4} Lsun. We advocate that CD-42o11721 might be a post-main sequence object, even though a pre-main sequence nature cannot be ruled out due to the uncertain distance. We further found that the SED in the optical and infrared can best be fitted with an outflowing disk-forming wind scenario rather than with a spherical symmetric envelope or with a flared disc, supporting our tentative classification as a B[e] supergiant.Comment: The paper contains 20 pages, 13 figures and 9 tables. Accepted for publication in the MNRA

Por que consumidores reclamam de compras online?

Consumers who make purchases in online channels do not feel fully satisfied and complaints on different stages of the service are frequent. To identify motives for such complaints, 720 communications, posted in one–year period on the main Brazilian website for complaints and addressed to the three online retailers who received most complaints, were randomly selected and submitted to content analysis. Results reveal the most frequent motives for complaints by online consumers: failures in after-sale service, delays and failures in deliveries and failures related to the policies of exchange and return. The method used in this work and the results obtained are a relevant contribution to the literature on the subject. Thanks to its simplicity and low cost of application, the method can easily be used by companies to reveal motives of dissatisfaction of consumers with online channels, offering elements to improve processes.Consumidores que compram em canais online não se sentem plenamente atendidos, sendo frequentes as reclamações sobre diferentes etapas do serviço. Para identificar motivos de tais reclamações, foram selecionadas, aleatoriamente, no principal website brasileiro de reclamações, 720 manifestações dirigidas aos três varejistas online mais reclamados ao longo de um ano, que foram submetidas à análise do conteúdo. Os resultados revelam os motivos mais frequentes para reclamações dos consumidores online: falhas no atendimento pós-venda, atrasos e falhas nas entregas e falhas relacionadas a políticas de troca e de devolução. O método aqui utilizado e os resultados obtidos constituem contribuição relevante para a literatura sobre o tema. Por sua simplicidade e baixo custo de aplicação, o método poderá facilmente ser empregado por empresas para revelar motivos de insatisfação dos consumidores com o canalonline, oferecendo subsídios para o aprimoramento de processos

Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition

[EN] Over the last few years, several researchers have been developing protocols and applications in order to autonomously land unmanned aerial vehicles (UAVs). However, most of the proposed protocols rely on expensive equipment or do not satisfy the high precision needs of some UAV applications such as package retrieval and delivery or the compact landing of UAV swarms. Therefore, in this work, a solution for high precision landing based on the use of ArUco markers is presented. In the proposed solution, a UAV equipped with a low-cost camera is able to detect ArUco markers sized 56×56 cm from an altitude of up to 30 m. Once the marker is detected, the UAV changes its flight behavior in order to land on the exact position where the marker is located. The proposal was evaluated and validated using both the ArduSim simulation platform and real UAV flights. The results show an average offset of only 11 cm from the target position, which vastly improves the landing accuracy compared to the traditional GPS-based landing, which typically deviates from the intended target by 1 to 3 m.This work was funded by the Ministerio de Ciencia, Innovación y Universidades, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018 , Spain, under Grant RTI2018-096384-B-I00.Wubben, J.; Fabra Collado, FJ.; Tavares De Araujo Cesariny Calafate, CM.; Krzeszowski, T.; Márquez Barja, JM.; Cano, J.; Manzoni, P. (2019). Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition. Electronics. 8(12):1-16. https://doi.org/10.3390/electronics8121532S116812Pan, X., Ma, D., Jin, L., & Jiang, Z. (2008). Vision-Based Approach Angle and Height Estimation for UAV Landing. 2008 Congress on Image and Signal Processing. doi:10.1109/cisp.2008.78Tang, D., Li, F., Shen, N., & Guo, S. (2011). UAV attitude and position estimation for vision-based landing. Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology. doi:10.1109/emeit.2011.6023131Gautam, A., Sujit, P. B., & Saripalli, S. (2014). A survey of autonomous landing techniques for UAVs. 2014 International Conference on Unmanned Aircraft Systems (ICUAS). doi:10.1109/icuas.2014.6842377Holybro Pixhawk 4 · PX4 v1.9.0 User Guidehttps://docs.px4.io/v1.9.0/en/flight_controller/pixhawk4.htmlGarrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F. J., & Medina-Carnicer, R. (2016). Generation of fiducial marker dictionaries using Mixed Integer Linear Programming. Pattern Recognition, 51, 481-491. doi:10.1016/j.patcog.2015.09.023Romero-Ramirez, F. J., Muñoz-Salinas, R., & Medina-Carnicer, R. (2018). Speeded up detection of squared fiducial markers. Image and Vision Computing, 76, 38-47. doi:10.1016/j.imavis.2018.05.004ArUco: Augmented reality library based on OpenCVhttps://sourceforge.net/projects/aruco/Jin, S., Zhang, J., Shen, L., & Li, T. (2016). On-board vision autonomous landing techniques for quadrotor: A survey. 2016 35th Chinese Control Conference (CCC). doi:10.1109/chicc.2016.7554984Chen, X., Phang, S. K., Shan, M., & Chen, B. M. (2016). System integration of a vision-guided UAV for autonomous landing on moving platform. 2016 12th IEEE International Conference on Control and Automation (ICCA). doi:10.1109/icca.2016.7505370Nowak, E., Gupta, K., & Najjaran, H. (2017). Development of a Plug-and-Play Infrared Landing System for Multirotor Unmanned Aerial Vehicles. 2017 14th Conference on Computer and Robot Vision (CRV). doi:10.1109/crv.2017.23Shaker, M., Smith, M. N. R., Yue, S., & Duckett, T. (2010). Vision-Based Landing of a Simulated Unmanned Aerial Vehicle with Fast Reinforcement Learning. 2010 International Conference on Emerging Security Technologies. doi:10.1109/est.2010.14Araar, O., Aouf, N., & Vitanov, I. (2016). Vision Based Autonomous Landing of Multirotor UAV on Moving Platform. Journal of Intelligent & Robotic Systems, 85(2), 369-384. doi:10.1007/s10846-016-0399-zPatruno, C., Nitti, M., Petitti, A., Stella, E., & D’Orazio, T. (2018). A Vision-Based Approach for Unmanned Aerial Vehicle Landing. Journal of Intelligent & Robotic Systems, 95(2), 645-664. doi:10.1007/s10846-018-0933-2Baca, T., Stepan, P., Spurny, V., Hert, D., Penicka, R., Saska, M., … Kumar, V. (2019). Autonomous landing on a moving vehicle with an unmanned aerial vehicle. Journal of Field Robotics, 36(5), 874-891. doi:10.1002/rob.21858De Souza, J. P. C., Marcato, A. L. M., de Aguiar, E. P., Jucá, M. A., & Teixeira, A. M. (2019). Autonomous Landing of UAV Based on Artificial Neural Network Supervised by Fuzzy Logic. Journal of Control, Automation and Electrical Systems, 30(4), 522-531. doi:10.1007/s40313-019-00465-ySITL Simulator (Software in the Loop)http://ardupilot.org/dev/docs/sitl-simulator-software-in-the-loop.htmlFabra, F., Calafate, C. T., Cano, J.-C., & Manzoni, P. (2017). On the impact of inter-UAV communications interference in the 2.4 GHz band. 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC). doi:10.1109/iwcmc.2017.7986413MAVLink Micro Air Vehicle Communication Protocolhttp://qgroundcontrol.org/mavlink/startFabra, F., Calafate, C. T., Cano, J. C., & Manzoni, P. (2018). ArduSim: Accurate and real-time multicopter simulation. Simulation Modelling Practice and Theory, 87, 170-190. doi:10.1016/j.simpat.2018.06.009Careem, M. A. A., Gomez, J., Saha, D., & Dutta, A. (2019). HiPER-V: A High Precision Radio Frequency Vehicle for Aerial Measurements. 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). doi:10.1109/sahcn.2019.882490

An unusual case of bacillary angiomatosis in the oral cavity of an AIDS patient who had no concomitant tegumentary lesions – case report and review

Bacillary angiomatosis (BA) is an angioproliferative disease of immunocompromised patients that usually presents as vascular tumors in the skin and subcutaneous tissues. It is caused by chronic infections with either Bartonella henselae or B. quintana. Oral cavity BA is exceedingly rare and even rarer without simultaneous cutaneous disease. We report herein the case of a 51-year-old HIV-infected man who presented severe odynophagia and an eroded lesion on the hard palate that progressed to an oronasal fistula. No cutaneous lesions were recorded. Doxycycline led to complete resolution. To the best of our knowledge, only six previous cases of oral BA without tegumentary disease have been previously reported and none of them progressed to fistula

A novel case of human visceral leishmaniasis from the urban area of the city of Rio de Janeiro: autochthonous or imported from Spain ?

Submitted by Janaína Nascimento ([email protected]) on 2019-02-07T11:55:47Z No. of bitstreams: 1 ve_Silva_Guilherme_etal_INI_2017.pdf: 476774 bytes, checksum: 117ce9df08684188394f5ff125a0909f (MD5)Approved for entry into archive by Janaína Nascimento ([email protected]) on 2019-02-08T10:52:32Z (GMT) No. of bitstreams: 1 ve_Silva_Guilherme_etal_INI_2017.pdf: 476774 bytes, checksum: 117ce9df08684188394f5ff125a0909f (MD5)Made available in DSpace on 2019-02-08T10:52:32Z (GMT). No. of bitstreams: 1 ve_Silva_Guilherme_etal_INI_2017.pdf: 476774 bytes, checksum: 117ce9df08684188394f5ff125a0909f (MD5) Previous issue date: 2017Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle, 10ª Enfermaria. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Centro de Ciências Biológicas e da Saúde. Hospital Universitário Gaffrée e Guinle. Serviço de Anatomia Patológica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica e Vigilância em Leishmanioses. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica e Vigilância em Leishmanioses. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica e Vigilância em Leishmanioses. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica e Vigilância em Leishmanioses. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica e Vigilância em Leishmanioses. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica e Vigilância em Leishmanioses. Rio de Janeiro, RJ, Brasil