and gene polymorphism-a possible association with drug-resistant tuberculosis in the north Indian population.

Objectives: The objective of this study is to analyze the association between and gene polymorphism with drug resistant tuberculosis (PTB, MDR-TB, and XDR-TB) in a population from Agra, Uttar Pradesh.

Methods: The present case-control study included 101 pulmonary TB patients, 104 multidrug-resistant TB patients, 48 extremely drug-resistant TB patients, and 130 healthy and unrelated controls residing in the same locality. The genotyping method for was carried out by allele-specific polymerase chain reaction (PCR), and gene polymorphism was performed by hybridization probe chemistry in Roche Real-Time PCR.

Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak.

Spreading of misleading information on social web platforms has fuelled huge panic and confusion among the public regarding the Corona disease, the detection of which is of paramount importance. To identify the credibility of the posted claim, we have analyzed possible evidence from the news articles in the google search results. This paper proposes an intelligent and expert strategy to gather important clues from the top 10 google search results related to the claim.

An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method.

The spreading of misleading information on social web platforms has fuelled massive panic and confusion among the public regarding the Corona disease, the detection of which is of paramount importance. Previous studies mainly relied on a specific web platform to collect crucial evidence to detect fake content. The analysis identifies that retrieving clues from two or more different sources/web platforms gives more reliable prediction and confidence concerning a specific claim.

A unified approach of detecting misleading images via tracing its instances on web and analyzing its past context for the verification of multimedia content.

The verification of multimedia content over social media is one of the challenging and crucial issues in the current scenario and gaining prominence in an age where user-generated content and online social web-platforms are the leading sources in shaping and propagating news stories. As these sources allow users to share their opinions without restriction, opportunistic users often post misleading/unreliable content on social media such as Twitter, Facebook, etc. At present, to lure users toward the news story, the text is often attached with some multimedia content (images/videos/audios).

Systematic review and meta-analysis of human Toll-like receptors genetic polymorphisms for susceptibility to tuberculosis infection.

Epidemiological data from the world health organization (WHO) show that Globally an estimated 10 million (range, 8.9-11.0 million) people around the world were infected with TB in 2019.

A unified approach for detection of Clickbait videos on YouTube using cognitive evidences.

Clickbait is one of the form of false content, purposely designed to attract the user's attention and make them curious to follow the link and read, view, or listen to the attached content. The teaser aim behind this is to exploit the curiosity gap by giving information within the short statement. Still, the given statement is not sufficient enough to satisfy the curiosity without clicking through the linked content and lure the user to get into the respective page via playing with human psychology and degrades the user experience.