Developmental Impact Analysis of an ICT-Enabled Scalable Healthcare Model in BRICS Economies

This article highlights the need for initiating a healthcare business model in a grassroots, emerging-nation context. This article’s backdrop is a history of chronic anomalies afflicting the healthcare sector in India and similarly placed BRICS nations. In these countries, a significant percentage of populations remain deprived of basic healthcare facilities and emergency services. Community (primary care) services are being offered by public and private stakeholders as a panacea to the problem. Yet, there is an urgent need for specialized (tertiary care) services at all levels. As a response to this challenge, an all-inclusive health-exchange system (HES) model, which utilizes information communication technology (ICT) to provide solutions in rural India, has been developed. The uniqueness of the model lies in its innovative hub-and-spoke architecture and its emphasis on affordability, accessibility, and availability to the masses. This article describes a developmental impact analysis (DIA) that was used to assess the impact of this model. The article contributes to the knowledge base of readers by making them aware of the healthcare challenges emerging nations are facing and ways to mitigate those challenges using entrepreneurial solutions

What impedes the success of late mover IT clusters despite economically favorable environments? A case study of an Indian IT cluster

The Information Technology (IT) industry in India, is one of the major contributors to the country’s growth story. It is organized in a few strong and dominant clusters across the country. Recent research focuses on the emergence, growth and success of the seven big IT clusters that account for 96.55  of total software exports from the country. Unlike the six successful late mover clusters, there are several other late mover IT clusters that have not experienced similar growth. Why do some of the late mover IT clusters in India succeed while others fail to take off despite favorable economic conditions? This paper applies a case study method to answer this research question by examining a single cluster, using both primary and secondary data. The paper concludes with a new framework to explain how an IT cluster lacks the motivation to succeed when it has to gain traction alongside the competing dynamics of traditional businesses. We find this to be the case more so when traditional businesses are thriving and growing

Cardiovascular Morbidity Profile Of Population Aged 60 Years And Above In Rural And Urban Areas Of Kanpur

<p class="Bodytext170">Background: Cardiovascular morbidity is a major contributor towards old age health problems which requires specialized care and if left unattended can deteriorate the quality of life and also lead to mortality. Therefore a study was planned to find out the prevalence of cardiovascular morbidity among geriatric population living in rural and urban areas ofKanpur.</p><p class="Bodytext170">Objective: To find out the prevalence of cardiovascular morbidity in geriatric population in rural and urban area of Kanpur and also to study the pattern of cardiovascular morbidity in two areas.</p><p class="Bodytext170">Material and methods: a cross sectional study was carried out in a randomly selected rural and urban area of Kanpur. 443 geriatrics in rural and 401 in urban area were interviewed and physically examined.</p>Results: Geriatrics constituted 8.2% and 7.7% of total population in rural and urban area respectively. Majority ofpopulation in both areas belonged to 60-70years age group i.e. 78.8% and 75.8% respectively. 12.2% of rural geriatric and 12.5% of urban geriatric were suffering from some or other kind of cardiovascular morbidity. In rural area 39.1%&gt;of geriatric population is hypertensive while in urban area hypertension is prevalent in 41.6%&gt; of geriatric population. 98. l%&gt;of morbid in rural and 86.0% in urban area were not doing any kind of exercise. A majority of population suffering from cardiovascular morbidity were not smoking currently. Majority i.e. 72.2% of geriatric population suffering from cardiovascular morbidity in rural area were having BMJ between 18.5-24.99 while in urban area 57.4% of them were having BMl&gt;-25. Hypertensives consitiuted 57.4% in rural and 66.0% in urban area towards those who are suffering from cardiovascular morbidity

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Not AvailableThe nitrogen use efficiency (NUE) of crop plants is limited and enhancing it in rice, a major cereal crop, would be beneficial for farmers and the environment alike. Here we report the genome-wide transcriptome analysis of two rice genotypes, IR 64 (IR64) and Nagina 22 (N22) under optimal ( + N ) and chronic starvation ( -N ) of nitrogen (N) from 15-day-old root and shoot tissues. The two genotypes were found to be contrasting in their response to -N; IR64 root architecture and root dry weight remained almost equivalent to that under + N conditions, while N22 showed high foraging ability but a substantial reduction in biomass under -N. Similarly, the photosynthetic pigments showed a drastic reduction in N22 under low N, while IR64 was more resilient. Nitrate reductase showed significantly low specific activity under -N in both genotypes. Glutamate synthase (GOGAT) and citrate synthase CS activity were highly reduced in N22 but not in IR64. Transcriptome analysis of these genotypes revealed nearly double the number of genes to be differentially expressed (DEGs) in roots (1016) compared to shoots (571). The response of the two genotypes to N starvation was distinctly different reflecting their morphological/biochemical response with just two and eight common DEGs in the root and shoot tissues. There were a total of 385 nitrogen-responsive DEGs (106 in shoots and 279 in roots) between the two genotypes. Fifty-two of the 89 DEGs identified as specific to N22 root tissues were also found to be differentially expressed between the two genotypes under -N. Most of these DEGs belonged to starch and chloroplast metabolism, followed by membrane and signaling proteins. Physical mapping of DEGs revealed 95 DEGs in roots and 76 in shoots to be present in quantitative trait loci (QTL) known for NUE.Not Availabl

Transcriptome Analysis of Two Rice Varieties Contrasting for Nitrogen Use Efficiency under Chronic N Starvation Reveals Differences in Chloroplast and Starch Metabolism-Related Genes

The nitrogen use efficiency (NUE) of crop plants is limited and enhancing it in rice, a major cereal crop, would be beneficial for farmers and the environment alike. Here we report the genome-wide transcriptome analysis of two rice genotypes, IR 64 (IR64) and Nagina 22 (N22) under optimal (+N) and chronic starvation (-N) of nitrogen (N) from 15-day-old root and shoot tissues. The two genotypes were found to be contrasting in their response to -N; IR64 root architecture and root dry weight remained almost equivalent to that under +N conditions, while N22 showed high foraging ability but a substantial reduction in biomass under -N. Similarly, the photosynthetic pigments showed a drastic reduction in N22 under low N, while IR64 was more resilient. Nitrate reductase showed significantly low specific activity under -N in both genotypes. Glutamate synthase (GOGAT) and citrate synthase CS activity were highly reduced in N22 but not in IR64. Transcriptome analysis of these genotypes revealed nearly double the number of genes to be differentially expressed (DEGs) in roots (1016) compared to shoots (571). The response of the two genotypes to N starvation was distinctly different reflecting their morphological/biochemical response with just two and eight common DEGs in the root and shoot tissues. There were a total of 385 nitrogen-responsive DEGs (106 in shoots and 279 in roots) between the two genotypes. Fifty-two of the 89 DEGs identified as specific to N22 root tissues were also found to be differentially expressed between the two genotypes under -N. Most of these DEGs belonged to starch and chloroplast metabolism, followed by membrane and signaling proteins. Physical mapping of DEGs revealed 95 DEGs in roots and 76 in shoots to be present in quantitative trait loci (QTL) known for NUE