Abstract: A method and/or system for automated detection and automated remediation of anomalies in Robotic Process Automation (RPA) environment is disclosed. The method comprises auto discovering resources (RPA components and its dependencies) in an RPA platform. The discovered resources are monitored though observation metrics whose values are obtained by executing pre-defined scripts. The obtained values are validated against threshold values to determine if there are any anomalies, wherein the threshold values may either be static values or dynamic values. If there is a breach of threshold, a remediation plan is automatically executed causing the remediation of anomalies. The system is trained to determine the dynamic threshold values through machine learning models which are developed and trained through metrics data and by determining error patterns from the historic unstructured log data.

Abstract: The present invention relates to stable fixed dose topical formulations comprising an antiacne agent and an antibiotic, which exhibit storage stability at a temperature of about 40° C. and relative humidity of about 75% for a period of at least 3 months. Particularly, the present invention relates to stable fixed dose topical formulations comprising therapeutically effective amounts of (a) adapalene-containing microspheres and (b) clindamycin, a process for their preparation thereof and their use for the treatment of acne.