There is no robust evidence of a definite biological benefit, either for therapy or prevention, to suggest a routine megadose supplement of vitamin D3 for under-five children with severe pneumonia.

Tooth enamel is a unique entity among all mineralized tissues because of the presence of high mineral content. It is non collagenous and does not undergo resorption and remodelling. Its formation occurs through a transient collaborating network of enamel matrix proteins which controls hydroxyapatite crystal growth and orientation. Amelogenins constitute about 90% of the total enamel matrix proteins and play a major role in enamel bio mineralization. Amelogenin isoforms coalesce into nanospheres thus dictating the width and thickness of apatite crystals. The X and Y copies of amelogenins do not undergo homologous recombination, thus preferring it for sex determination in modern forensics. Recently, it was discovered that application of amelogenin to diseased periodontal tissue surfaces enhanced the regeneration of all the periodontal tissues. Additionally, low molecular mass amelogenin polypeptides have also been thought to possess osteogenic potential. Recent data regarding usage of immunohistochemical markers for mesenchymal stem cells suggested that amelogenin has the capacity to induce the recruitment of mesenchymal stem cells directly or indirectly during regeneration of the supporting periodontal tissues. Thus, our current concepts of dental enamel formation should be reviewed thoroughly so that this information could be applied to clinical circumstances where this understanding may be particularly relevant.

OBJECTIVESAedes mosquitoes are responsible for transmitting the dengue virus. The mosquito lifecycle is known to be influenced by temperature, rainfall, and relative humidity. This retrospective study was planned to investigate whether climatic factors could be used to predict the occurrence of dengue in East Delhi.METHODSThe number of monthly dengue cases reported over 19 years was obtained from the laboratory records of our institution. Monthly data of rainfall, temperature, and humidity collected from a local weather station were correlated with the number of monthly reported dengue cases. One-way analysis of variance was used to analyse whether the climatic parameters differed significantly among seasons. Four models were developed using negative binomial generalized linear model analysis. Monthly rainfall, temperature, humidity, were used as independent variables, and the number of dengue cases reported monthly was used as the dependent variable. The first model considered data from the same month, while the other three models involved incorporating data with a lag phase of 1, 2, and 3 months, respectively.RESULTSThe greatest number of cases was reported during the post-monsoon period each year. Temperature, rainfall, and humidity varied significantly across the pre-monsoon, monsoon, and post-monsoon periods. The best correlation between these three climatic factors and dengue occurrence was at a time lag of 2 months.CONCLUSIONSThis study found that temperature, rainfall, and relative humidity significantly affected dengue occurrence in East Delhi. This weather-based dengue empirical model can forecast potential outbreaks 2-month in advance, providing an early warning system for intensifying dengue control measures.

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Today’s world revolves around information that is the driving force behind any economic value chain. The thirst for information has led to the evolution of online “Search Engines” over last few years and are the most widely used instruments currently. Gradually marketers also started using this platform for marketing their products. This study focuses on the impact of search engine optimization as a marketing tool and its influence on various marketing variables like market share, brand equity and others. Literature review highlights many marketing variables getting affected by search engine optimization. Variables like market share, brand loyalty, brand recognition, product price, product information, brand image, brand awareness, consumer online behavior, and user reviews are few of them. The authors have found that most of the researches have highlighted these variables either in isolation or may be in combination of few. Few studies have considered variables only from marketer’s point of view and others from buyer’s point of view. In this study, the authors have attempted to comprehend and understand empirically, the impact of search engine optimization on various marketing variables identified (after the study) as market share and brand equity as the most prominent ones and product awareness, purchase persuasion and consumer insights the other important ones. To analyze the said phenomenon, the initial step was the examination of the significant writing to develop a comprehension about different parameters of search engine for the brand post. The data were gathered through questionnaire from the sample of 338 respondents who were selected by simple random sampling method mostly from the National Capital Region (NCR) of Delhi in India. The data collected from the respondents were loaded on SAS base for exploratory factor analysis and multiple regression analysis.

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