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Background: Gallstones are one of the most common routinely encountered surgical problem in the developed world. Laparoscopic cholecystectomy being the gold standard surgery for gall stones has been modified various times using different instruments in order to improve intraoperative and postoperative outcomes. The aim of the study was to see clinical outcomes of ultrasonic scalpel verses monopolar electrocautery in dissection of gall bladder in laparoscopic cholecystectomy.Methods: A prospective randomized controlled study was done with total 100 patients in which 50 patients underwent laparoscopic cholecystectomy via ultrasonic scalpel while rest 50 patients were operated using monopolar electrocautery. The study was conducted for a period of eighteen months and clinical outcomes were studied in terms of operative time, frequency of lens cleaning, gall bladder perforation, biliary leak, common bile duct injury, bowel perforation and postoperative hospital stay.Results: The two groups were comparable in terms of demographic profile considering age and sex distribution. However, there was a statistically significant reduction in operative time, frequency of lens cleaning and gall bladder perforation in group A (harmonic scalpel) as compared to group B (electrocautery).Conclusions: Harmonic scalpel is not only a safe and effective instrument but also a reliable alternative to electrocautery. Even though the study revealed no significant difference in biliary leak, common bile duct injury, bowel perforation and postoperative hospital stay but it can significantly reduce operative time and incidence of gall bladder perforation. Thus, it can improve the operative course in laparoscopic cholecystectomy.

Memes can sway people's opinions over social media as they combine visual and textual information in an easy-to-consume manner. Since memes instantly turn viral, it becomes crucial to infer their intent and potentially associated harmfulness to take timely measures as needed. A common problem associated with meme comprehension lies in detecting the entities referenced and characterizing the role of each of these entities. Here, we aim to understand whether the meme glorifies, vilifies, or victimizes each entity it refers to. To this end, we address the task of role identification of entities in harmful memes, i.e., detecting who is the 'hero', the 'villain', and the 'victim' in the meme, if any. We utilize HVVMemes -a memes dataset on US Politics and Covid-19 memes, released recently as part of the CONSTRAINT@ACL-2022 shared-task. It contains memes, entities referenced, and their associated roles: hero, villain, victim, and other. We further design VECTOR (Visual-semantic role dEteC-ToR), a robust multi-modal framework for the task, which integrates entity-based contextual information in the multi-modal representation and compare it to several standard unimodal (text-only or image-only) or multi-modal (im-age+text) models. Our experimental results show that our proposed model achieves an improvement of 4% over the best baseline and 1% over the best competing stand-alone submission from the shared-task. Besides divulging an extensive experimental setup with comparative analyses, we finally highlight the challenges encountered in addressing the complex task of semantic role labeling within memes.