Pilar Pozos-Parra's research while affiliated with Autonomous University of Baja California and other places

... As mentioned, physical inactivity and sedentary behavior are of high public health concern, as there is an interaction between behavioral risk factors that increase risk. For example, the constant exposure to food advertising during television viewing contributes to some extent to the modification of diet behavior, that is, the consumption of unhealthy foods (e.g., processed foods with added sugar) in both children [41] and adults [42]. In addition, a lifestyle that reduces NEPA and, thereby, energy expenditure may promote an obesogenic environment; therefore, it was reported that increasing active transportation (e.g., cycling or walking) and reducing automobile use may reduce the prevalence of obesity and NCDs [43]. ...

... Recently, many countries have been committed to developing intelligent transportation systems. As an indispensable part of traffic prediction, obtaining real-time traffic conditions can help people better arrange travel plans and share resources [1][2][3][4][5][6]. ...

... 4. HTML, CSS, JavaScript, jQuery were used for web-development. 5. Flask framework was used to implement the whole project. ...

... El uso de Inteligencia Artificial mediante algoritmos de Aprendizaje Automático (ML por sus siglas en inglés de Machine Learning) se ha extendido a nivel mundial en áreas como gobierno, industria, ámbito médico y cultura. En medicina, ML se ha aplicado en el diagnóstico de enfermedades, personalización de tratamientos y en el enfoque emergente de Salud 4.0 [2]. ...

... The increase of life expectancy at the individual level is determined by a healthy lifestyle, meaning a healthy diet and the way leisure time is spent -daily physical exercise (Hernández-Lepe et al., 2021), sleep duration (Tanaka et al., 2020), as well as risk and comorbidity factors like smoking, alcohol and drug consumption (Chudasama et al., 2020;Junna et al., 2021). ...