Background Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Objective This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Methods We first studied the users’ needs and gathered users’ graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility. Results We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m2 (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities. Conclusions The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives.

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Point to multipoint (PmP) distribution at millimeter wave is a frontier so far not yet crossed due to the formidable technological challenge that the high atmospheric attenuation poses. The transmission power at level of tens of Watts required at millimeter wave for a reference range of 1 km is not available by any commercial or laboratory solid state devices. However, the availability of PmP with multigigabit data rate is pivotal for the new high density small cell networks for 4G and 5G and to solve the digital divide in areas where fiber is not convenient or possible to be deployed. In this paper, the advancements of the novel approach proposed by the EU Horizon 2020 TWEETHER project to create the first and fastest outdoor W-band (92 -95 GHz) PmP wireless network are described. For the first time a new generation W-band traveling wave tube high power amplifier is introduced in the transmission hub to provide the enabling power for a wide area distribution.

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