553 research outputs found
On NS s(I) Semi Open Sets
No full textIn this paper we define Nano soft(NS) s(I) semi open(SO) sets and NS s(I) semi closed(SC) sets in nano soft ideal topological space. Further in nano soft ideal topological space, we define NS s(I) semiinteriorand NS s(I) semi-closure. Additionally, we go through the characteristics and features of NS s(I) SO sets
supplemenary - Nutritional supplementation during pulmonary rehabilitation in COPD: A systematic review
No full textsupplemenary for Nutritional supplementation during pulmonary rehabilitation in COPD: A systematic review by Abdulelah M Aldhahir, Ahmed M Al Rajeh, Yousef S Aldabayan, Salifu Drammeh, Vanitha Subbu, Jaber S Alqahtani, John R Hurst and Swapna Mandal in Chronic Respiratory Disease</p
An Economic Analysis of MGNREG Programme in Mysore District of Karnataka
No full textAn economic analysis of MGNREG programme has been made in the Mysore district of Karnataka during the year 2009-10. The women participation among total registered workers in MGNREGS has been found significant at 47.8 per cent. Among the total number of works executed under MGNREGS in the sample villages, 96.8 per cent have been natural resource management works and 74.2 per cent community works. More number of natural resource management works are needed to be taken up on individual farmers’ fields to make MGNREGS complementary to agriculture. Among the total participants and non-participants of MGNREGS, 70 per cent in each case were agricultural labourers. In the total income earned by participants and non participants, a major proportion was from agricultural labour work (60.55% and 52.59%, respectively), followed by crop cultivation (24.95% and 47.41%, respectively) and MGNREGS (14.50% in case of participants). Average annual person-days of employment generated from MGNREGS works was 57. About 68 per cent of landless participants derived 28 per cent of their household income from MGNREGS compared to only 6 per cent in case of participants with land. The study has found that, there has been reduction in the supply of labour to agriculture to the extent of 40.67 person-days per year on an average after the implementation of MGNREGS. Hence, MGNREGS works need to be executed only during offseason.MGNREGA, Economic analysis, Women in MGNREGS, Economics of MGNREGS, Agricultural and Food Policy, I38, H53,
Characterization of active component in the given probiotic lactic acid bacteria against V. cholerae
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Polyethyleneglycol/silver functionalized reduced graphene oxide aerogel for environmental application
No full textDetection of mercury ions using L-cysteine modified electrodes by anodic stripping voltammetric method
No full text
Temperature dependent electron transport behavior of poly (methyl methacrylate)/silver functionalized reduced graphene oxide films
No full textPerformance evaluation of geopolymer masonry units: A hybrid approach combining laboratory testing and AI modeling
No full textThis study presents a comprehensive investigation into the compressive strength and stress–strain behavior of geopolymer brick masonry, focusing on both prisms and wallettes. Geopolymer bricks and mortars were used to fabricate specimens, and their mechanical performance was experimentally evaluated. The study also employs nine machine learning algorithms on a dataset comprising 612 prism and 63 wallette data points, assessing performance based on six predictive metrics. Experimental results revealed that prisms exhibited higher compressive strength (7.2 MPa to 2.6 MPa) compared to wallettes (6.5 MPa to 1.2 MPa), with a linear regression indicating wallettes achieve approximately 88 % of prism strength. Among the ML models, Random Forest performed best, with R2 values of 0.92 and 0.97 for prism and wallette datasets, respectively. The results emphasize the influence of brick-and-mortar properties and dimensional parameters on masonry performance. This study advances the understanding of geopolymer masonry and demonstrates the synergy of experimental analysis and machine learning for predictive modeling in sustainable construction
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