Background Stroke is one of the most debilitating conditions contributing to significant disability and death globally. Identifying risk factors for quality of life (QoL) will enable to improve home-based rehabilitation in post-stroke phase. Objective This study was aimed to identify the risk factors of QoL in stroke patients in the sub-Himalayan region. Materials and Methods A cross-sectional hospital-based study assessed the QoL among stroke patients within a week after the onset of acute stroke and then re-evaluated at 3 months. World Health Organization QoL-BREF, Beck Depression Inventory, the Barthel Index, and Montreal Cognitive Assessment (MOCA) were used to seek data on QoL, depression, cognitive, and functional dependence status, respectively. Appropriate statistics were used to compute the results. Results In total, 129 stroke patients recruited, out of which 102 returned to a 3-month follow-up. QoL, MOCA, disability index, and depression score were compared using Wilcoxon Singed-rank test. In multivariate analysis, depression and disability together predicted 60% of the variance for physical QoL (p < 0.0001). Similarly, poststroke depression and disability together predicted 61% of the variance for psychological QoL (p < 0.0001) in stroke patients. Conclusion Findings indicated that depression and disability are leading risk factors of QoL in stroke patients. Early identification of poststroke depression and functional dependence status is, therefore, essential to devise screening procedure and to develop targeted intervention to improve rehabilitation outcomes.

Traveler's diarrhea (TD) is an important public health concern that can result from a variety of intestinal pathogens, including bacteria, parasites, and virus. A number of antibiotics are being used to cure TD, but due to widespread use of these antibiotics, the pathogens are becoming resistant to them. In this work, we performed docking studies of DNA gyraseA (GyrA) and topoisomerase IV (ParC) of Shigella flexneri and their mutants with two different fluoroquinolones, ciprofloxacin and norfloxacin, to understand their resistance mechanism at the structural level. S. flexneri strains with mutations at serine 83 to leucine and aspartic acid 87 to glutamate or asparagine of GyrA and that of serine 80 to isoleucine in ParC have decreased susceptibility to fluoroquinolones. This analysis revealed that interaction of ciprofloxacin/norfloxacin with all the mutants was weaker than the interaction of ciprofloxacin/norfloxacin with the wild type. This study highlights the importance of aspartic acid and serine in GyrA and that of serine in ParC, forming bonds with ciprofloxacin/norfloxacin, which may play a crucial role in antibiotic resistance. This work corelates very well with the experimental outcomes and gives a good explanation for fluoroquinolone resistance in S. flexneri.

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Cloud computing offers numerous benefits including scalability, availability and many services. But with its wide acceptance all over the globe, new risks and vulnerabilities have appeared too. Cloud computing supplies facility of storing and accessing understanding and programs over the web without bothering the storage space on procedure. Storing the data on cloud eliminates one's worries about space considerations, buying new storage equipment or managing their data, rather they are able to access their data any time from any place provided they have internet access. However, the rising security issues have resisted the companies from connecting with cloud computing fully. Hence security risks have appeared as the main disadvantage of cloud computing. This paper involves the efforts to research the security risk and then proposes a framework to address these risks on the authentication and storage level in cloud computing. While addressing the security issues the first and the foremost thing is to classify what data needs security and what data needn't bother with security and hence data gets classified into classes. To achieve data classification, a data classification approach based on the confidentiality of data is proposed in this paper. Following that an efficient security mechanism must be deployed by means of encryption, authentication, and authorization or by means of every other method to ensure the privacy of s data on cloud storage

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