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Background. We initiated a conversation regarding the concept of professional identity formation (PIF) with faculty of Institute of Nursing at our university through a participatory workshop. We report the planning and conduct of the workshop, as well as lessons learnt from the discussions in the workshop. Methods. We designed and implemented a day-long workshop for 28 nursing faculty at Institute of Nursing, Bhaikaka University, Gujarat. The expected learning outcomes of the workshop were to: (i) understand the concept of PIF and process of socialization; (ii) identify factors influencing socialization; and (iii) discuss strategies to support PIF. The workshop included a series of four small group discussions, each followed by debriefing. We collected feedback using a questionnaire with 4 open-ended questions and written reflections on the learnings, within 2 days of the workshop. We carried out manual content analysis of text data generated during group work, reflections and feedback. Results. Twenty-six of the 28 participants responded to the questionnaire. Thirteen mentioned interactions during group activities and discussions with facilitators as a good part of the workshop. Constructive suggestions on improving the workshop were received from 13 respondents. Twenty-three respondents reported they would make changes in their practice after the workshop. Five respondents found the activity on roles and responses during socialization as needing more discussion. Key themes identified from the participants' reflections were: (i) their different views about professional identity, (ii) experiences and reactions and (iii) their future action plan. Conclusions. The workshop was well received by the participants. Our approach to the workshop might help other institutions design and implement similar activities as a part of their faculty development programme. [ABSTRACT FROM AUTHOR]

Byline: Jalpan. Patel, Ishani. Patel, Devangi. Desai, Soaham. Desai, Himanshu. Pandya Sir, Brucellosis is a zoonotic disease caused by a gram-negative bacterial genus called 'Brucella.'[1] It is transmitted to humans [...]

The present work deals with the analysis and monitoring of bacterial resistance in using Python for the state of Gujarat, India, where occurrences of drug-resistant bacteria are prevalent. This will provide an insight into the portfolio of drug-resistant bacteria reported, which can be used to track resistance behavior and to suggest a treatment regime for the particular bacteria. The present analysis has been done using Python on Jupyter Notebook as the integrated development environment and its data analysis libraries such as Pandas, Seaborn, and Matplotlib. The data have been loaded from excel file using Pandas and cleaned to transform features into required format. Seaborn and Matplotlib have been used to create data visualizations and represent the data inexplicable manner using graphs, plots, and tables. This program can be used to study disaster epidemiology, tracking, analyzing, and surveillance of antimicrobial resistance with a proper system integration approach. [ABSTRACT FROM AUTHOR]