Major Indian ICT firms and their approaches towards achieving quality

Of the three basic theories of innovation: the entrepreneur theory, the technology-economics theory and the strategic theory, the third one seems to be highly appropriate for the analysis of recent growth of the information and communication technology (ICT) industry in many developing countries including India. The central measure for achieving quality by the various major Indian ICT firms is widely agreed to have been the adoption of Six Sigma Methodology and various other approaches like Total Quality Management (TQM), Supply Chain Management (SCM), Customer Relationship Management (CRM), etc. It is apparent that the main objective of the firms chosen has been to increase the pace of innovation activities, irrespective of their different areas of product specialisation. Its success also depends largely on the overall improvement in infrastructure, besides active market interaction. To enable both the above, a brief highlight on the establishment of interaction and learning sites (ILSs) in every regional State in India comes to the foreground. The chapter concludes with a mention of the elements observed to be missing among the firms under consideration, and, thereby, delineating the scope for their further improvement.

Major Indian ICT firms and their approaches towards achieving quality

Of the three basic theories of innovation: the entrepreneur theory, the technology-economics theory and the strategic theory, the third one seems to be highly appropriate for the analysis of recent growth of the information and communication technology (ICT) industry in many developing countries including India. The central measure for achieving quality by the various major Indian (ICT) firms is widely agreed to have been the adoption of Six Sigma Methodology and/or its multivariate branches like Total Quality Management (TQM), Supply Chain Management (SCM), and Customer Relationship Management (CRM). It is apparent that the main objective of the firms chosen has been to increase the pace of innovation activities, irrespective of their different area of product specialisation. Its success is believed to depend largely on the overall improvement in infrastructure, besides active market interaction. To enable both the above, a brief highlight has been made on the establishment of interaction and learning sites (ILSs) in every regional State in India. The paper concludes with a mention of the elements observed to be missing among the firms under consideration, and, thereby, delineating the scope for their further improvement

Major Indian ICT firms and their approaches towards achieving quality

Of the three basic theories of innovation: the entrepreneur theory, the technology-economics theory and the strategic theory, the third one seems to be highly appropriate for the analysis of recent growth of the information and communication technology (ICT) industry in many developing countries including India. The central measure for achieving quality by the various major Indian ICT firms is widely agreed to have been the adoption of Six Sigma Methodology and various other approaches like Total Quality Management (TQM), Supply Chain Management (SCM), Customer Relationship Management (CRM), etc. It is apparent that the main objective of the firms chosen has been to increase the pace of innovation activities, irrespective of their different areas of product specialisation. Its success also depends largely on the overall improvement in infrastructure, besides active market interaction. To enable both the above, a brief highlight on the establishment of interaction and learning sites (ILSs) in every regional State in India comes to the foreground. The chapter concludes with a mention of the elements observed to be missing among the firms under consideration, and, thereby, delineating the scope for their further improvement

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pressure tuning of charge ordering in iron oxide

A Verwey-type charge-ordering transition in magnetite at 120 K leads to the formation of linear units of three iron ions with one shared electron, called trimerons. The recently-discovered iron pentoxide (Fe$_4$O$_5$) comprising mixed-valent iron cations at octahedral chains, demonstrates another unusual charge-ordering transition at 150 K involving competing formation of iron trimerons and dimerons. Here, we experimentally show that applied pressure can tune the charge-ordering pattern in Fe$_4$O$_5$ and strongly affect the ordering temperature. We report two charge-ordered phases, the first of which may comprise both dimeron and trimeron units, whereas, the second exhibits an overall dimerization involving both the octahedral and trigonal-prismatic chains of iron in the crystal structure. We link the dramatic change in the charge-ordering pattern in the second phase to redistribution of electrons between the octahedral and prismatic iron chains, and propose that the average oxidation state of the iron cations can pre-determine a charge-ordering pattern

First Results of the 140^{140}Ce(n,γ)141^{141}Ce Cross-Section Measurement at n_TOF

An accurate measurement of the $^{140}$Ce(n,γ) energy-dependent cross-section was performed at the n_TOF facility at CERN. This cross-section is of great importance because it represents a bottleneck for the s-process nucleosynthesis and determines to a large extent the cerium abundance in stars. The measurement was motivated by the significant difference between the cerium abundance measured in globular clusters and the value predicted by theoretical stellar models. This discrepancy can be ascribed to an overestimation of the $^{140}$Ce capture cross-section due to a lack of accurate nuclear data. For this measurement, we used a sample of cerium oxide enriched in $^{140}$Ce to 99.4%. The experimental apparatus consisted of four deuterated benzene liquid scintillator detectors, which allowed us to overcome the difficulties present in the previous measurements, thanks to their very low neutron sensitivity. The accurate analysis of the p-wave resonances and the calculation of their average parameters are fundamental to improve the evaluation of the $^{140}$Ce Maxwellian-averaged cross-section

First Results of the 140^{140}Ce(n,γ)141^{141}Ce Cross-Section Measurement at n_TOF

An accurate measurement of the $^{140}$Ce(n,γ) energy-dependent cross-section was performed at the n_TOF facility at CERN. This cross-section is of great importance because it represents a bottleneck for the s-process nucleosynthesis and determines to a large extent the cerium abundance in stars. The measurement was motivated by the significant difference between the cerium abundance measured in globular clusters and the value predicted by theoretical stellar models. This discrepancy can be ascribed to an overestimation of the $^{140}$Ce capture cross-section due to a lack of accurate nuclear data. For this measurement, we used a sample of cerium oxide enriched in $^{140}$Ce to 99.4%. The experimental apparatus consisted of four deuterated benzene liquid scintillator detectors, which allowed us to overcome the difficulties present in the previous measurements, thanks to their very low neutron sensitivity. The accurate analysis of the p-wave resonances and the calculation of their average parameters are fundamental to improve the evaluation of the $^{140}$Ce Maxwellian-averaged cross-section

Prognostically relevant gene signatures of high-grade serous ovarian carcinoma

Because of the high risk of recurrence in high-grade serous ovarian carcinoma (HGS-OvCa), the development of outcome predictors could be valuable for patient stratification. Using the catalog of The Cancer Genome Atlas (TCGA), we developed subtype and survival gene expression signatures, which, when combined, provide a prognostic model of HGS-OvCa classification, named “Classification of Ovarian Cancer” (CLOVAR). We validated CLOVAR on an independent dataset consisting of 879 HGS-OvCa expression profiles. The worst outcome group, accounting for 23% of all cases, was associated with a median survival of 23 months and a platinum resistance rate of 63%, versus a median survival of 46 months and platinum resistance rate of 23% in other cases. Associating the outcome prediction model with BRCA1/BRCA2 mutation status, residual disease after surgery, and disease stage further optimized outcome classification. Ovarian cancer is a disease in urgent need of more effective therapies. The spectrum of outcomes observed here and their association with CLOVAR signatures suggests variations in underlying tumor biology. Prospective validation of the CLOVAR model in the context of additional prognostic variables may provide a rationale for optimal combination of patient and treatment regimens

Integrated genomic characterization of oesophageal carcinoma

Oesophageal cancers are prominent worldwide; however, there are few targeted therapies and survival rates for these cancers remain dismal. Here we performed a comprehensive molecular analysis of 164 carcinomas of the oesophagus derived from Western and Eastern populations. Beyond known histopathological and epidemiologic distinctions, molecular features differentiated oesophageal squamous cell carcinomas from oesophageal adenocarcinomas. Oesophageal squamous cell carcinomas resembled squamous carcinomas of other organs more than they did oesophageal adenocarcinomas. Our analyses identified three molecular subclasses of oesophageal squamous cell carcinomas, but none showed evidence for an aetiological role of human papillomavirus. Squamous cell carcinomas showed frequent genomic amplifications of CCND1 and SOX2 and/or TP63, whereas ERBB2, VEGFA and GATA4 and GATA6 were more commonly amplified in adenocarcinomas. Oesophageal adenocarcinomas strongly resembled the chromosomally unstable variant of gastric adenocarcinoma, suggesting that these cancers could be considered a single disease entity. However, some molecular features, including DNA hypermethylation, occurred disproportionally in oesophageal adenocarcinomas. These data provide a framework to facilitate more rational categorization of these tumours and a foundation for new therapies

Results of a national UK physician reported survey of COVID-19 infection in patients with a myeloproliferative neoplasm

Funder: Cancer Research UK (CRUK); doi: https://doi.org/10.13039/501100000289Funder: DH | National Institute for Health Research (NIHR); doi: https://doi.org/10.13039/50110000027