Narasimham Committee Report - Some Further Ramifications and Suggestions

This paper while agreeing with the general thrust of the Narasimham Committee Report. Calls attention to some logical corollaries of the Report and analyses some possible fallout from implementing the Report. We agree with the view that control of banking system should be under an autonomous body supervised by the RBI. However at the level of individual banks, closer scrutiny of lending procedures may be called for than is envisaged in the Report. In a freely functioning capital market the potential of government bonds is enormous, but this necessitates restructuring of the government bond market. The government bonds may then also be used as suitable hedging mechanisms by introducing options and futures trading. We recommend freeing up the operation of pension and provident fund to enable at least partial investment of such funds in risky securities. In the corporate sector, we believe that the current 2:1 debt equity norm is too high and not sustainable in the long term. We envisage that high debt levels and higher interest rates, combined with higher business risk may result in greater incidence of corporate sickness. This may call for various schemes for retrenched workers and amendment to land laws for easy exit of companies. On account of interdependencies across different policies, any sequencing of their implementation may be highly problematic. We therefore suggest a near simultaneity in the implementation of various reforms in order to build up a momentum which would be irreversible if people are to have confidence that the reforms will endure, and if we are to retain our credibility with international financial institutions.

STUDY ON BIOSYSTEMATIC AND BIOACTIVITY OF Nocardiopsis flavescencs RRMVCBNR OBTAINED FROM NICHE HABITATS OF VALPARAI HILL STATION

In this work, the soil samples were collected niche habitats of Valparai hill station to screen the diversity of actinomycetes. The actinobacterial were isolated by serial dilution and plating method on starch peptone agar media. In totally 8 different morphological were isolated on the basis of colony characteristics on starch peptone agar and dominative isolate were screened and plated on point inoculation. RRMVCBNR 1 isolate was biosystamatically characterized on the basis of microscopic, colony morphology, biochemical and phenotypic studies. Phenotypic studies indicated that strains belonged to genus of Nocardiopsis which was further confirmed by genotypic studies based on 16S rRNA gene sequences followed by phylogenetic tree construction. 16S rRNA gene sequences of strain used in this study exhibited sequence similarity in the range of 99-100% with those of selected isolate and it was identified as of Nocardiopsis flavescencs RRMVCBNR. The sequences of Nocardiopsis flavescencs 16S rRNA genes were deposited in genbank http://www.ncbi.nlm.nih.gov/genbank and received the accession number MG287120.The biological activity of Nocardiopsis flavescencs strain showed detectable antibacterial activity against Staphylococcus aureus and Klebsiella pneumonia has been studied. Keywords: Nocardiopsis flavescencs, Starch peptone agar, Muller Hinton Agar, Mountain soil.SE

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

Introduction: Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation. Methods: We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders. Results and discussion: We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions (“retention,” “adherence” and “active self-management”), a combination category (“multi-dimensional engagement”) and “treatment outcomes” category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients. Conclusions: Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on “gold-standard” indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care

Microstructural characterization of friction stir welded AA5083 aluminum alloy joints

The objective of the current work is to apply Taguchi L9 orthogonal array to enhance the welding process factors for friction stir welding (FSW) of AA5083 aluminium alloy plates. Using a randomized procedure, the Taguchi orthogonal array was implemented to identify the FSW process parameters such as the rotating speed of the tool, welding speed, and tilting angle of the tool. The optimum welding parameters for the ultimate tensile strength and hardness of the joints were predicted and the individual rank of each process parameter on the ultimate tensile strength and hardness of the friction stir weld was assessed by investigative ANOVA results and the S/N ratio (signal-to- noise ratio). The most desirable rotational speed of the tool, welding speed and tilting angle of the tool were 600 rev. per. min, 70 millimeter/min and 1o appropriately for the ultimate eluting strength and 600 rev. per. min, 80 millimeter/min and 1o correspondingly for summit joint hardness. The outcomes of Analysis of Variance (ANOVA) designated that the tilting angle of the tool has the higher statistical effect succeeded by the welding velocity and rotational speed of the tool. Furthermore, metallurgical properties of the weld cross-sections were investigated by using optical microscope (OM), scanning electron microscope (SEM), energy dispersive spectroscopy (EDS) analysis. The microstructure of the stir zone reveals finer grain structure, directed to the higher hardness, which gives rise to higher tensile strength

Pulse control protocols for preserving coherence in dipolar-coupled nuclear spin baths.

Coherence of solid state spin qubits is limited by decoherence and random fluctuations in the spin bath environment. Here we develop spin bath control sequences which simultaneously suppress the fluctuations arising from intrabath interactions and inhomogeneity. Experiments on neutral self-assembled quantum dots yield up to a five-fold increase in coherence of a bare nuclear spin bath. Numerical simulations agree with experiments and reveal emergent thermodynamic behaviour where fluctuations are ultimately caused by irreversible conversion of coherence into many-body quantum entanglement. Simulations show that for homogeneous spin baths our sequences are efficient with non-ideal control pulses, while inhomogeneous bath coherence is inherently limited even under ideal-pulse control, especially for strongly correlated spin-9/2 baths. These results highlight the limitations of self-assembled quantum dots and advantages of strain-free dots, where our sequences can be used to control the fluctuations of a homogeneous nuclear spin bath and potentially improve electron spin qubit coherence

Conceptualising engagement with HIV care for people on treatment: the Indicators of HIV Care and AntiRetroviral Engagement (InCARE) Framework

Background As the crisis-based approach to HIV care evolves to chronic disease management, supporting ongoing engagement with HIV care is increasingly important to achieve long-term treatment success. However, ‘engagement’ is a complex concept and ambiguous definitions limit its evaluation. To guide engagement evaluation and development of interventions to improve HIV outcomes, we sought to identify critical, measurable dimensions of engagement with HIV care for people on treatment from a health service-delivery perspective. Methods We used a pragmatic, iterative approach to develop a framework, combining insights from researcher experience, a narrative literature review, framework mapping, expert stakeholder input and a formal scoping review of engagement measures. These inputs helped to refine the inclusion and definition of important elements of engagement behaviour that could be evaluated by the health system. Results The final framework presents engagement with HIV care as a dynamic behaviour that people practice rather than an individual characteristic or permanent state, so that people can be variably engaged at different points in their treatment journey. Engagement with HIV care for those on treatment is represented by three measurable dimensions: ‘retention’ (interaction with health services), ‘adherence’ (pill-taking behaviour), and ‘active self-management’ (ownership and self-management of care). Engagement is the product of wider contextual, health system and personal factors, and engagement in all dimensions facilitates successful treatment outcomes, such as virologic suppression and good health. While retention and adherence together may lead to treatment success at a particular point, this framework hypothesises that active self-management sustains treatment success over time. Thus, evaluation of all three core dimensions is crucial to realise the individual, societal and public health benefits of antiretroviral treatment programmes. Conclusions This framework distils a complex concept into three core, measurable dimensions critical for the maintenance of engagement. It characterises elements that the system might assess to evaluate engagement more comprehensively at individual and programmatic levels, and suggests that active self-management is an important consideration to support lifelong optimal engagement. This framework could be helpful in practice to guide the development of more nuanced interventions that improve long-term treatment success and help maintain momentum in controlling a changing epidemic

Moduli Stacks of Vector Bundles and Frobenius Morphisms

We describe the action of the different Frobenius morphisms on the cohomology ring of the moduli stack of algebraic vector bundles of fixed rank and determinant on an algebraic curve over a finite field in characteristic p and analyse special situations like vector bundles on the projective line and relations with infinite Grassmannians.Comment: 19 page

Gait speed reference values in community-dwelling older adults:Cross-sectional analysis from the Rotterdam Study

Background: Gait speed is a simple, inexpensive and clinically useful marker of physical function in older adults. We aimed to establish gait speed reference values for community-dwelling older adults. To this end, we further explored the association of age, sex and height with gait speed. Methods: This study included community-dwelling participants aged 50 years and over enrolled in the Rotterdam Study. Participants completed the gait protocol between 2009 and 2016. The mean gait speed was calculated for age and height groups, stratified by sex. Reference values for gait speed were calculated using a quantile regression model adjusted for sex, the non-linear effects of age and height, as well as the interaction between age and sex plus the interaction between age and height. Results: The study population included 4656 Dutch participants with a mean (standard deviation) age of 67.7 (9.5) years, comprising 2569 (55.2%) women. The mean height of the participants was 1.69 (0.10) meters and the mean gait speed was 1.20 (0.20) m/s. Gait speed was lower with older age and greater with taller stature, but the effect of height disappeared above the age of 80 years. Sex did not affect gait speed after accounting for age and height. Age-, sex-, and height-specific reference values for gait speed are available for use at https://emcbios tatistics.shinyapps.io/GaitSpeedReferenceValues/. Conclusions: We found that height explains the commonly noted difference in usual gait speed between sexes and that neither height nor sex impacts gait speed in the very oldest adults. We developed reference values for usual gait speed in Western European community-dwelling older adults

Reconstruction of incomplete X ray diffraction pole figures of oligocrystalline materials using deep learning

X ray diffraction crystallography allows non destructive examination of crystal structures. Furthermore, it has low requirements regarding surface preparation, especially compared to electron backscatter diffraction. However, up to now, X ray diffraction has been highly time consuming in standard laboratory conditions since intensities on multiple lattice planes have to be recorded by rotating and tilting. Furthermore, examining oligocrystalline materials is challenging due to the limited number of diffraction spots. Moreover, commonly used evaluation methods for crystallographic orientation analysis need multiple lattice planes for a reliable pole figure reconstruction. In this article, we propose a deep learning based method for oligocrystalline specimens, i.e., specimens with up to three grains of arbitrary crystal orientations. Our approach allows faster experimentation due to accurate reconstructions of pole figure regions, which we did not probe experimentally. In contrast to other methods, the pole figure is reconstructed based on only a single incomplete pole figure. To speed up the development of our proposed method and for usage in other machine learning algorithms, we introduce a GPU based simulation for data generation. Furthermore, we present a pole widths standardization technique using a custom deep learning architecture that makes algorithms more robust against influences from the experiment setup and materia