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This paper aims to understand the changing dynamics of internal labour market segmentation intertwined with the history of working-class struggle in an industrial belt in India's National Capital Region (NCR). Nuances of workers' class struggle in the automobile sector in Delhi-NCR over the last 15 years have shown that unity between permanent and contract workers was key to several successful struggles against worsening work conditions and management control within the global value chains of automobile production. Our fieldwork findings, along with direct and indirect political engagement in the region, reveal that increasing salaries and allotment of supervisory roles to small sections of permanent workers, coupled with the simultaneous fragmentation a lower strata of workers into multiple categories with very low salaries, benefits and heavy workloads, have been significant attempts by capital to break class solidarity among different sections of workers. Relatively pro-labour legislation and trade unions tend to concentrate in high-wage zones, while low-wage and precarious employment remains unprotected by such institutional mechanisms. Labour segmentation is inherent to capitalist exploitation, guarded by institutional mechanisms. Advanced mechanisation reduces distinction of skill requirements between highly paid permanent and lowly paid contract workers. In this context, labour segmentation is a political response to trade unionism from the side of capitalist management. [ABSTRACT FROM AUTHOR]

Identity in south Asia was anchored by, on the one end, community, and on the other, an appreciation of sub-continental (geographical and cultural) space. People, historically, drew their identity as part of communities, which in turn existed in continuity to each-other in the seamless regional expanse of south Asia. Imagination as nationals--a post-colonial construct--faced contestations, both, from community affiliations and spatial imagination contrary to the territorial--modular form of nation-state. As a response, the state fabricated the idea of "patriotic-citizen" and used nationalist historiography to create citizens who are taught to believe the nation as prime-marker of self-definition and act like soldiers, guarding national identity against alternative imaginations. Education has become the most potent devise through which this is achieved. The article, on the basis of textbook narratives in Bangladesh, India and Pakistan, would demonstrate (i) how educational practices build a militarist idea of citizenship and, (ii) in doing so co-opts the demands of community by showing the nation as vindication of community-aspirations and on the other hand erasing conceptualisation of a south Asian space from cognitive maps of its subjects. The idea of "active" citizenship understands "active" as responsible citizenship, emphasising a right based discourse. On the contrary education in south Asia is used to "activate" citizenship which is relational in content--based on ideas of "us" versus "them"--instead of allowing critical understanding of rights and identities.

Several global health incidents and evidences show the increasing likelihood of pandemics (large‐scale outbreaks of infectious disease), which has adversely affected all aspects of human lives. It is essential to develop an analytics framework by extracting and incorporating the knowledge of heterogeneous data‐sources to deliver insights for enhancing preparedness to combat the pandemic. Specifically, human mobility, travel history, and other transport statistics have significantly impact on the spread of any infectious disease. This article proposes a spatio‐temporal knowledge mining framework, named STOPPAGE, to model the impact of human mobility and other contextual information over the large geographic areas in different temporal scales. The framework has two key modules: (i) spatio‐temporal data and computing infrastructure using fog/edge based architecture; and (ii) spatio‐temporal data analytics module to efficiently extract knowledge from heterogeneous data sources. We created a pandemic‐knowledge graph to discover correlations among mobility information and disease spread, a deep learning architecture to predict the next hotspot zones. Further, we provide necessary support in home‐health monitoring utilizing Femtolet and fog/edge based solutions. The experimental evaluations on real‐life datasets related to COVID‐19 in India illustrate the efficacy of the proposed methods. STOPPAGE outperforms the existing works and baseline methods in terms of accuracy by ≈$$ \approx $$(18–21)% in predicting hotspots and reduces the power consumption of the smartphone significantly. The scalability study yields that the STOPPAGE framework is flexible enough to analyze a huge amount of spatio‐temporal datasets and reduces the delay in predicting health status compared to the existing studies. [ABSTRACT FROM AUTHOR]

Probiotics are potential health-promoting microorganisms representing a significant health aid with diverse pharmaceutical applications. But its role in modulating the human gut microbiome necessities a profound analysis. Undoubtedly, the human gut is a reservoir of infinite species such as bacteria, viruses, fungi, etc. But host with chronic illness bids enrichment of the pathogenic strain which may alter the composition gut microbiome. Culture-based techniques are providing unclear taxonomic data where the possibility of the discrepancy is very high. Therefore the use of next-generation sequencing (NGS) analysis helps to explore depth understanding of the curd microbiome and can generate big genomic data. The present investigation aims to explore the microbial diversity of curd samples from different local dairy farms of Odisha, India using a metagenomic approach. The data read comprising 304,725 sequences totaling 148,546,295 base pairs were interpreted. Taxonomical distribution at different levels unfolded the absolute abundance of phylum, class, order, family, genus, and species within each microbial community. The most dominant species found to be Lactobacillus at order level is 49%, whereas phyla proteobacteria and firmicutes have shown taxonomic percentage abundance of 50.01% and 48.77%, respectively. However, nearly 26.41% of unclassified species from the Lactococcus genus were identified in the sample at different taxonomic levels. The metagenomics sequence data has been deposited to sequence read archive (SRA) of NCBI database under Bioproject PRJNA383620. The present study has vital implications in understanding the microbial diversity in curd samples with their role in human health and application in future pharmaceutical probiotic research. [ABSTRACT FROM AUTHOR]

Plumbagin derived from the plant Plumbago indica, known as Chitrak in India, is an example of a medicinal compound used traditionally to cure a variety of ailments. Previous reports have indicated that it can inhibit the growth of Mycobacterium tuberculosis (Mtb), the causative agent of the deadly disease TB. In this investigation, we provide an insight into its mode of action. We show here that a significant mycobacterial target that is inhibited by plumbagin is the enzyme ThyX, a form of thymidylate synthase, that is responsible for the synthesis of dTMP from dUMP in various bacterial pathogens, including Mtb. Using a purified preparation of the recombinant version of Mtb ThyX, we demonstrate that plumbagin, a 2,4 napthoquinone, but not lawsone, a structurally related medicinal compound, inhibits its activity in vitro. We also show that the intracellular [dTTP]/[dATP] ratio in Mycobacterium smegmatis (Msm) cells decrease upon treatment with plumbagin, and this, in turn, leads to cell death. Such a conclusion is supported by the observation that over-expression of thyx in the plumbagin treated Msm cells leads to the restoration of viability. The results of our investigation indicate that plumbagin kills mycobacterial cells primarily by targeting ThyX, a vital enzyme required for their survival. [ABSTRACT FROM AUTHOR]

Highlights from the article: In addition to CVD, chronic kidney disease (CKD) and End Stage Renal Disease (ESRD) have shown prevalence in India and are distributed throughout the country. Systematic diagnosis of patients up to the protein/gene level will identify the type of amyloid disease and enable treatment strategies in a protein specific mode. Young clinicians and researchers must be involved in this effort from the very beginning of their career so as to gain the required training in amyloid diagnosis and treatment along with basic research.

Objectives: In recent years, there has been phenomenal growth in internet usage worldwide, with a substantial proportion of children and adolescents actively engaging with online platforms. While the internet presents numerous opportunities for children and adolescents, the lack of digital literacy and adequate online safety measures exposes them to various cybercrimes, including cyberbullying, cyberstalking, identity theft, and sexual predation. Moreover, there is growing concern regarding internet addiction among this population., Methods: To investigate the determinants of internet addiction among adolescents, we conducted a cross-sectional study in peri-urban Delhi-NCR, India. We used a self-administered questionnaire to gather information on internet usage, and 630 adolescents aged 13-18 participated in the study, also completing an Internet Addiction Test., Results: The findings indicate that 415 adolescents (65.9 %) exhibited no signs of internet addiction, suggesting a healthy relationship with the internet. However, 215 adolescents (33.1 %) displayed symptoms of internet addiction. Among those exhibiting internet addictions, 159 (74.0 %) were classified as mild internet addicts, indicating moderate levels of internet usage. Furthermore, 56 (26.0 %) adolescents were classified as moderate internet addicts, reflecting a higher level of internet addiction., Conclusions: Our study highlights the significant influence of various factors, including family dynamics, environmental factors, and personal experiences, on internet addiction among adolescents. Based on these findings, we propose implementing measures at different levels to foster responsible internet use among adolescents, thereby substantially reducing internet addiction., (© 2024 Walter de Gruyter GmbH, Berlin/Boston.)

Manganese (Mn) ranks twelfth among the most exuberant metal present in the earth's crust and finds its imperative application in the manufacturing steel, chemical, tannery, glass, and battery industries. Solubilisation of Mn can be performed by several bacterial strains which are useful in developing environmental friendly solutions for mining activities. The present investigation aims to isolate and characterize Mn solubilising bacteria from low grade ores from Sanindipur Manganese mine of Sundargh district in Odisha state of India. Four morphologically distinct bacterial strains showing visible growth on Mn supplemented plates were isolated. Mn solubilising ability of the bacterial strains was assessed by visualizing the lightening of the medium appearing around the growing colonies. Three isolates were gram negative and rod shaped while the remaining one was gram positive, coccobacilli. Molecular identification of the isolates was carried out by 16S rRNA sequencing and the bacterial isolates were taxonomically classified as Bacillus anthrasis MSB 2, Acinetobacter sp. MSB 5, Lysinibacillus sp. MSB 11, and Bacillus sp. MMR-1 using BLAST algorithm. The sequences were deposited in NCBI GenBank with the accession number KP635223, KP635224, KP635225 and JQ936966, respectively. Manganese solubilisation efficiency of 40, 96, 97.5 and 48.5% were achieved by MMR-1, MSB 2, MSB 5 and MSB 11 respectively. The efficiency of Mn solubilisation is suggested with the help of a pH variation study. The results are discussed in relation to the possible mechanisms involved in Manganese solubilisation efficiency of bacterial isolates., (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)