Manipur and Tripura are two important integral states of North east India with a long glorious history of its own. Both the states maintained cordial relationship from the very early period despite regular intervals of conflicts. Marriage alliances between the royal families of Manipur and Tripura were common phenomena which began from remote antiquity and continued till 20th century. The instance of first marriage alliance occurred during the reign of Tripura king Taidakshin, the 43rd Raja. However, the most notable cases (...) of matrimonial alliances between Manipur and Tripura started towards the end of 18th century. The distinctive feature in the marriages was that the Rajas of Tripura married not only Manipuri princesses but also many Manipuri girls belonging to plebeian family. The marriage alliances not only brought cordial relations between the two kingdoms but also there was cultural assimilation. The tradition of marrying Manipuri girls were even followed by many noblemen of the Tripura royal family. Tripura also witnessed various public welfare works that was contributed by the Manipuri Maharanis. Thus, we find that the Tripura royal house was filled with descendants from the Manipuri queens. This article focuses on providing a chronological historical account of the matrimonial alliances that occurred in the royal families of Manipur and Tripura during the period of monarchies. It also highlights the basic causes behind the arrangement of the marriages and also the cultural amalgamation between the two states. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

Introduction: Liposomal bupivacaine (LB) is a long-acting analgesic that, due to its liposomal formulation, purportedly extends its analgesic effect up to 72 hours. However, the clinical efficacy of LB appears mixed. This systematic review seeks to evaluate the effectiveness of liposomal bupivacaine in improving postoperative outcomes compared to ropivacaine (ROPI), another commonly used long-acting analgesic. -/- Materials and Methods: Prospective and randomized controlled trials (RCTs) evaluating the efficacy of LB compared to ROPI were selected for review. Primary outcomes included hospital (...) length of stay (LOS) and postoperative opioid consumption measured in oral morphine equivalents (OME). Secondary outcomes included analgesic cost. -/- Results: 14 studies met the review criteria. We found that LB and ROPI are equivalent in managing postoperative pain. 8 of the 14 trials reported equal efficacy between LB and ROPI as determined by OME post-procedure and 10 of the 14 trials reported similar LOS after surgery. These findings remained consistent across multiple surgical procedures and multiple drug administrative modalities. -/- Conclusion: Our systematic review found that LB was not superior to ROPI in reducing postoperative OME use and hospital LOS. The only consistent finding was the significantly increased cost of LB compared to that of ROPI. Therefore, the use of LB over ROPI cannot be justified. (shrink)