Certain Investigation of Fake News Detection from Facebook and Twitter Using Artificial Intelligence Approach

The news platform has moved from traditional newspapers to online communities in the technologically advanced area of Artificial Intelligence. Because Twitter and Facebook allow us to consume news much faster and with less restricted editing, false information continues to spread at an impressive rate and volume. Online Fake News Detection is a promising feld in research and captivates the attention of researchers. The sprawl of huge chunks of misinformation in social network platforms is vulnerable to global risk. This article recommends using a Machine Learning optimization technique for automated news article classification on Facebook and Twitter. The emergence of the research is facilitated by the strategic implementation of Natural Language Processing for social forum fake news findings in order to distort news reports from non-recurrent outlets. The relent from the study is outstanding with text document frequency words, which act as extraction technique�s attribute, and the classifier is acted upon by Hybrid Support Vector Machine by achieving 91.23% accuracy

UDP-glucose 4, 6-dehydratase Activity Plays an Important Role in Maintaining Cell Wall Integrity and Virulence of Candida albicans

Candida albicans, a human fungal pathogen, undergoes morphogenetic changes that are associated with virulence. We report here that GAL102 in C. albicans encodes a homolog of dTDP-glucose 4,6-dehydratase, an enzyme that affects cell wall properties as well as virulence of many pathogenic bacteria. We found that GAL102 deletion leads to greater sensitivity to antifungal drugs and cell wall destabilizing agents like Calcofluor white and Congo red. The mutant also formed biofilms consisting mainly of hyphal cells that show less turgor. The NMR analysis of cell wall mannans of gal102 deletion strain revealed that a major constituent of mannan is missing and the phosphomannan component known to affect virulence is greatly reduced. We also observed that there was a substantial reduction in the expression of genes involved in biofilm formation but increase in the expression of genes encoding glycosylphosphatidylinositol-anchored proteins in the mutant. These, along with altered mannosylation of cell wall proteins together might be responsible for multiple phenotypes displayed by the mutant. Finally, the mutant was unable to grow in the presence of resident peritoneal macrophages and elicited a weak pro-inflammatory cytokine response in vitro. Similarly, this mutant elicited a poor serum pro-inflammatory cytokine response as judged by IFNγ and TNFα levels and showed reduced virulence in a mouse model of systemic candidiasis. Importantly, an Ala substitution for a conserved Lys residue in the active site motif YXXXK, that abrogates the enzyme activity also showed reduced virulence and increased filamentation similar to the gal102 deletion strain. Since inactivating the enzyme encoded by GAL102 makes the cells sensitive to antifungal drugs and reduces its virulence, it can serve as a potential drug target in combination therapies for C. albicans and related pathogens

Prevalence of dental caries in a pediatric population during the COVID-19 omicron pandemic era in South India

Caries is a multifactorial disease that involves a majority of the pediatric population. If not diagnosed and treated, it can lead to severe consequences affecting the permanent dentition. The objective of this study was to assess the prevalence of oral foci of infection in a multispeciality hospital during the pandemic in Chennai, South India. The majority of the patients examined had caries

Oral foci of infection in pediatric population during COVID-19 omicron pandemic era

Caries is a multifactorial disease that involves a majority of the pediatric population. If not diagnosed and treated, it can lead to severe consequences affecting the permanent dentition. The objective of this study is to assess the prevalence of oral foci of infection in a multispeciality hospital during pandemic in Chennai, South India. Majority of the patients examined had caries

A cross-sectional study to find the correlation between the level of fluoride in drinking water, dental fluorosis and associated risk factors- A original research

Background: The present study was conducted to assess the relationship between drinking water fluoride (F) levels, dental fluorosis dental caries, and associated risk factors in the elderly population. Materials and Methods: A cross-sectional analytical study was conducted on 50 patients aged 25–60 years, selected by stratified random sampling from different areas with different levels of naturally occurring F in drinking water. The patients were assessed for dental fluorosis according to WHO basic survey guidelines. The overall oral health status of the patients was assessed by decayed missing filled teeth DMFT index and the bacterial count of saliva was calculated using the Caries Risk Test (CRT). Statistical analysis was done using mean, standard deviation, standard error, Z-test, Mann-Whitney U Test, and Chi-square test. Results: The results of the present study revealed that the prevalence of fluorosis was 24%. The number of patients with dental fluorosis was highest in those who consumed water with high groundwater fluoride levels irrespective of the source of drinking water. Caries prevalence in the study population was about 5.56 ± 1.95. Conclusion: There was a moderate prevalence of fluorosis in patients, and caries prevalence is high in areas below optimal F areas. Caries prevalence and mean DMFT scores were least common in patients with optimal fluoride levels in drinking water and highest in those with below optimal fluoride in drinking water