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Fake news is not a new phenomenon and has been an ever-growing threat to many democracies across the globe, especially in India. This paper is an attempt to understand the growing mistrust on media among Indians during covid 19 pandemic. The health crises that emerged during the pandemic jolted many institutions including the fourth pillar of democracy, media. The study has attempted a comprehensive systematic literature review of the growing mistrust around media and tried to assess the various factors that were involved leading to mistrust. The study done during the year 2020 employed a survey and an online focus group discussion to assess the output. The results revealed that misinformation was at its peak during Covid lockdown and a large number of people shared fake posts on social media platforms, thinking it to be true.

Although lung cancer risk among smokers is dependent on smoking dose, it remains unknown if this increased risk reflects an increased rate of somatic mutation accumulation in normal lung cells. Here, we applied single-cell whole-genome sequencing of proximal bronchial basal cells from 33 participants aged between 11 and 86 years with smoking histories varying from never-smoking to 116 pack-years. We found an increase in the frequency of single-nucleotide variants and small insertions and deletions with chronological age in never-smokers, with mutation frequencies significantly elevated among smokers. When plotted against smoking pack-years, mutations followed the linear increase in cancer risk until about 23 pack-years, after which no further increase in mutation frequency was observed, pointing toward individual selection for mutation avoidance. Known lung cancer-defined mutation signatures tracked with both age and smoking. No significant enrichment for somatic mutations in lung cancer driver genes was observed.

For detecting field carcinogenesis non-invasively, early technical development and case–control testing of exhaled breath condensate microRNAs was performed. In design, human lung tissue microRNA-seq discovery was reconciled with TCGA and published tumor-discriminant microRNAs, yielding a panel of 24 upregulated microRNAs. The airway origin of exhaled microRNAs was topographically “fingerprinted”, using paired EBC, upper and lower airway donor sample sets. A clinic-based case–control study (166 NSCLC cases, 185 controls) was interrogated with the microRNA panel by qualitative RT-PCR. Data were analyzed by logistic regression (LR), and by random-forest (RF) models. Feasibility testing of exhaled microRNA detection, including optimized whole EBC extraction, and RT and qualitative PCR method evaluation, was performed. For sensitivity in this low template setting, intercalating dye-based URT-PCR was superior to fluorescent probe-based PCR (TaqMan). In application, adjusted logistic regression models identified exhaled miR-21, 33b, 212 as overall case–control discriminant. RF analysis of combined clinical + microRNA models showed modest added discrimination capacity (1.1–2.5%) beyond clinical models alone: all subjects 1.1% (p = 8.7e−04)); former smokers 2.5% (p = 3.6e−05); early stage 1.2% (p = 9.0e−03), yielding combined ROC AUC ranging from 0.74 to 0.83. We conclude that exhaled microRNAs are qualitatively measureable, reflect in part lower airway signatures; and when further refined/quantitated, can potentially help to improve lung cancer risk assessment.

Introduction: Hemolysis, elevated liver enzymes, low platelet count (HELLP) syndrome is a leading cause of maternal mortality. The emergence of Coronavirus disease 2019 (COVID-19) has led to challenges in diagnosing HELLP syndrome due to overlapping clinical and laboratory presentations. We report a case of HELLP syndrome complicated by COVID-19 infection. Case Description: An otherwise healthy pregnant 31-year-old female presented with fever, myalgia, and headache. She was found to be COVID-positive with laboratory signs of HELLP syndrome. Symptoms and laboratory findings trended toward normal post-partum confirming the diagnosis of HELLP syndrome. Discussion: A prompt diagnosis of HELLP syndrome is essential to avoid maternal and fetal complications. Clinicians should be aware of the similarities in presentation between HELLP syndrome and COVID-19 for timely diagnosis and treatment.

The role of social media during 16th Lok Sabha elections has led to several insights in the manner in which the youth of today is consuming political news. Several social media platforms have played a significant role in voting behaviour. Social media platform acted as a game changer and a catalyst in wooing young voters and influencing their opinion. While Internet users grew 7% in Urban India reaching 315 million users in 2018, digital adoption is now being propelled by rural India, registering a 35% growth in Internet users over the past year. Also, there have come a general perception that television will play a lesser role in this upcoming election and digital media will play a never before seen influence on voters. This research examines the behaviour of youth in India and examines the level of influence by social media in casting their vote in Lok Sabha elections. Whether social media can be a game changer or an influencer. These findings will be carried out by this research work.

Background: An exhaled microRNA-based lung cancer case-control discriminant biomarker strategy is reported.Methods: A microRNA-seq discovery effort compared paired tumor to non-tumor tissue, was reconciled with analogous TCGA and published literature-based tissue-discriminant microRNA data, yielding a candidate panel of 24 microRNAs that are upregulated in either adenocarcinomas and/or squamous cell carcinomas. The technical feasibility of microRNA-PCR assays in exhaled breath condensate (EBC) was tested. The airway origin of exhaled microRNAs was then topographically “fingerprinted”, using paired EBC and bronchoscopic samples. For initial EBC testing, a clinic-based case-control set of 351 individuals (166 NSCLC cases, 185 non-cancer controls) was interrogated with the 24-candidate microRNA panel by qualitative RT-PCR, and curated by melt curve analysis. Data were analyzed by both logistic regression (LR), and by random-forest (RF) models, validated by iterative resampling.Results: Both feasibility of exhaled microRNA detection, and its origins in part from lower airway sources, were confirmed. LR models adjusted for age, sex, smoking status, pack years, quit-years, and underlying lung disease identified exhaled miR-21, 33b, 212 (p.adj,=0.019, 0.018, 0.033, resp.) as case-control discriminant. For the RF analysis, the combined clinical + microRNA models showed modest added discrimination capacity (1.1–2.5%) beyond the clinical models alone: by subgroup, all subjects 1.1% (p = 8.7e-04)); former smokers 2.5% (p = 3.6e-05); early stage 1.2% (p = 9.0e-03). Sensitivity, specificity, positive- and negative-predictive values of the clinical + microRNA models for the entire cohort were 71%-76%.Conclusion: This work suggests that exhaled microRNAs are measurable qualitatively; reflect in part lower airway signatures; and if improved/refined, can potentially help distinguish lung cancer cases from controls.

Valentine’s Day celebration in India has been much debated and covered by the media in the last couple of years. In the year 2009, far right Hindu activist from Sri Ram Sena to Bajrang Dal were involved in beating up unmarried couples and blackening their faces, as mark of shame for celebrating Valentine’s Day. They claimed that the festival was a “western practice” and promotes “lust not love”. Following this other Anti- Valentine’s Day groups also expressed their views and this led to public debate about moral policing and Indian culture. However what is interesting to note is the fact how media covered. At one side media has played a big role in promoting it (for many reasons) and on the other hand it has also criticized it for cultural and religious concerns.This research tries to explore in depth how media covers the festival with commercialization, culture, religion and politics in the backdrop. The research studies 9 newspapers of in 3 different languages, namely English, Hindi and Urdu. The study tries to find out whether media is biased in covering the festival or is it propagating an idea to its readers. The idea of taking 3 different languages is to draw a sharp comparison and contrast among the national and vernacular newspapers.In order to find it, both quantitative and qualitative methods have been applied to the articles. Content analysis and Textual analysis are the important methods used to find out the statistics and underlying meanings behind these articles.Int. J. Soc. Sc. Manage. Vol. 3, Issue-3: 171-187