In air quality management, at urban and regional levels, road transport remains the cornerstone of residential, commercial, and industrial activities, and the vehicle exhaust emissions maintain the position of one of the key contributing sources. In Indian cities, big and small, vehicle exhaust emissions and dust from vehicle movement on the roads, contribute to as much as 50% of particulate matter pollution in a year. So, having access to a vehicle exhaust emissions inventory that is reliable and replicable is critical for air quality management and this exercise starts with access to vehicle stock numbers. These numbers are typically obtained from vehicle registration databases, traffic surveys, and other governmental records, and often require time consuming data cleaning protocols before they can used for emissions and pollution baseline analysis. This paper provides a cleaned and open-access vehicle stock database, as registered and in-use fleet, for the period covering 1993 and 2018, for all India and states, along with an estimate of age-mix of the vehicles using survival functions.

AI (Artificial Intelligence) chatbots has been widely applied. AI (Artificial Intelligence) chatbots has been widely applied. ChatGPT could enhance individual learning capabilities and clinical reasoning skills, facilitate students' understanding of complex concepts in healthcare education: (1) Background: There is currently less emphasis on its application in nursing education. The application of ChatGPT in nursing education needs to be verified; (2) Methods: A descriptive study is used to analyze the scores of ChatGPT on the registered nurse license exam(RNLE) and compare to the pass rate of candidates in Taiwan; (3) Results: The average score of four exams were around 51.6 to 63.75 by ChatGPT, and pass the RNLE in 2022 1st and 2023 2nd. However, ChatGPT may generate misleading or inaccurate explanations, or it could lead to hallucinations; (4) Conclusions: ChatGPT may have potentially to assist with nursing education. Although AI can simulate human behavior in context, it still cannot replace human creativity, critical thinking, and clinical reasoning.

The aim of study was to assess empirical model of factors determining the attitude towards learning communicative competences among nurses participating in the program of speciality training courses. A research by method a cross-sectional study. A representative group of the 1,010 Polish registered nurses that took part in the postgraduate education course answered self-report survey (three instruments: NEO-PI-R questionnaire, Communication Skills Attitude Scale (CSAS) and Empathy Understanding Questionnaire of other people (KRE II)) between beginning of March to the end of May 2018, which was evaluated using path analysis. The research results conducted confirmed the soundness of the created theoretical model (χ2 = 0.278, P = 0.598, RMSEA <0.05). It was proved that learning communicative competences in nurses is determined with factors such as professional experience, emphatic tendencies and the intensity of agreeableness, whereby these factors are bound with each other creating a homogeneous network. The developed model demonstrated that the skills can be shaped most effectively on an individual attitude based on positive mentoring in work environment..