An Assessment of Indian Information Technology Companies Listed on National Stock Exchange by Pearls Analysis: An Analytical Study

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A randomized placebo-controlled pilot study of the efficacy and safety of D-cycloserine in people with chronic back pain.

BACKGROUND: Few effective pharmacological treatment options exist for chronic back pain, the leading cause of disability in the US, and all are associated with significant adverse effects. OBJECTIVE: To determine the efficacy and safety of D-cycloserine, a partial agonist to the N-methyl-D-aspartate receptor, in the treatment of chronic low back pain. METHODS: A total of 41 participants with chronic back pain who met all inclusion and exclusion criteria were enrolled in a double-blind, placebo-controlled randomized pilot trial of D-cycloserine. Treatment was administered orally for six weeks at escalating daily doses of 100 mg, 200 mg, and 400 mg, each for two weeks. The primary outcome measure was back pain intensity using the Numeric Rating Scale (0-10). Secondary measures were back pain-related questionnaires: McGill Pain Questionnaire short form, painDETECT, PANAS, and BDI. The pre-specified analysis was a two-way repeated measures analysis of variance. RESULTS: A treatment difference was observed between groups treated with D-cycloserine and placebo at six weeks of 1.05 ± 3.1 units on the Numeric Rating Scale, with an effect size of 0.4 and p = 0.14. This trend of better chronic back pain relief with D-cycloserine was also observed in the secondary measures. No safety issues were seen. CONCLUSION: The difference in mean pain between the D-cycloserine and placebo groups did not reach statistical significance. However, a clinically meaningful effect size in the magnitude of pain relief was observed with a consistent pattern across multiple outcome measures with good safety, supporting further research into the effectiveness of D-cycloserine for chronic back pain

Design of Small Scale Anaerobic Digester for Application in Indian Village: A Review

Proper choosing of design of anaerobic digester and estimation of it size is an important point in the successful implementation of anaerobic digester. The end users of anaerobic digester in most cases are farmers whose technical knowledge of the systems is limited. And there is a lack of information available on design methods for these systems. The goals of this study were to develop literature that could be used by laymen to decide the design and size of anaerobic digester. To develop a design formula that could be used for anaerobic digester sizing based on livestock waste availability. The case studies were conducted on three scales: one household, six households, and a village of 67 and 28 households. The biogas produced in case study for one household was0.44 m3, for six household was 2.60 m3, for Kapurpur village of 67 household was 11.33 m3

Rejuvenation of Rangelands – Role of Diversity and Improvement Strategies of Range Grasses

In India, a major part of the rural economy is dependent on the grazing-based livestock husbandry which is unique integration of agriculture and livestock coupled with rich traditional knowledge. Ecosystems of common property resources had been a mainstay in rural economy and livelihood. The traditional grazing forage resources in arid and semi-arid regions have deteriorated a lot due to various factors including heavy grazing pressure, climate change and dominance of invasive species, thus, needs rejuvenation. Additionally, these are causing serious economic and ecological problems such as poor productivity, soil and water erosion and reduced carbon sequestration. The genetic improvement of these grasses encounters various problems such as polyploidy, apomixis, seed shedding and shattering and poor seed to ovule ratio. Transfer of desirable traits from donor germplasm becomes difficult due to the existence of apomixis. The breeding objectives are also multifold including herbage yield, forage nutritional quality, abiotic stress tolerance etc. Identification of sexual lines is prerequisite for transfer of traits. Mutation attempts are also not effective due to polyploidy. ICAR- Indian Grassland and Fodder Research Institute, Jhansi has collected rich genetic diversity in these range grasses especially Dichanthium-Bothriochloa complex, Heteropogon, Chrysopogon, Sehima, Panicum, Cenchrus, Pennisetum etc. from different parts of the country as well as procurement from gene banks of the world. These germplasm were evaluated for morphological traits which indicated the existence of wide variation for various morpho-agronomic traits. The paper deals with reporting the extent of variability among the potential range grasses; with prospects of utilizing the diversity in rejuvenating the degraded rangelands of India and other places with isoclimatic conditions

Artificial Intelligence for Technical Debt Management in Software Development

Technical debt is a well-known challenge in software development, and its negative impact on software quality, maintainability, and performance is widely recognized. In recent years, artificial intelligence (AI) has proven to be a promising approach to assist in managing technical debt. This paper presents a comprehensive literature review of existing research on the use of AI powered tools for technical debt avoidance in software development. In this literature review we analyzed 15 related research papers which covers various AI-powered techniques, such as code analysis and review, automated testing, code refactoring, predictive maintenance, code generation, and code documentation, and explores their effectiveness in addressing technical debt. The review also discusses the benefits and challenges of using AI for technical debt management, provides insights into the current state of research, and highlights gaps and opportunities for future research. The findings of this review suggest that AI has the potential to significantly improve technical debt management in software development, and that existing research provides valuable insights into how AI can be leveraged to address technical debt effectively and efficiently. However, the review also highlights several challenges and limitations of current approaches, such as the need for high-quality data and ethical considerations and underscores the importance of further research to address these issues. The paper provides a comprehensive overview of the current state of research on AI for technical debt avoidance and offers practical guidance for software development teams seeking to leverage AI in their development processes to mitigate technical debt effectivel

Numerical Analysis of Crosss Flow Hydokinetic Turbine by Using Computational Fluid Dynamics

The invention of cross flow turbine industry from straight blades of the Darrieus turbine was modified by Alexander Gorlov into helical shape. There have been several research projects dealing with the design and analysis for tidal applications. This paper deals with the Numerical analysis of a cross flow hydrokinetic turbine (CFHT) with helical blades. Static analysis with optimum blade velocity and constant pressure conditions was performed for the blade with fixed pitch by using Computational Fluid Dynamics (CFD) in Fluent 15. Solidworks was used to carry out 3D modeling of the turbine. The hydrofoil shape of NACA 0018 was created by the airfoil coordinate database. Two different turbulence models Spalart-Allmaras (One-Equation model) and sst-k (Two ndash;Equation model) were employed to compute and compare the results. Pressure profiles, drag and lift coefficients are calculated under a steady flow of 1.5 m/s