146 research outputs found

    An Economic Analysis of Public Interventions for Amelioration of Irrigation-Induced Soil Degradation

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    The study has reported the impact of public interventions for amelioration of soil degradation through subsurface drainage technology in the Tungabhadra Project area in Karnataka. The primary data, obtained from 105 farmers of TBP area, have been analysed using budgeting, discounted cash flow measures and gini ratio. The provision of subsurface drainage through public interventions, has increased the productivity of land appreciably (166 per cent) and has provided a source of regular income (Rs 13,636/ha from paddy) to resource-poor households. The technology has been found to be cost effective, socially acceptable and economically feasible. The equity analysis has indicated reduction in inequalities in income distribution during the post-drainage period. The study has suggested that the government should aim at encouraging and educating the affected farmers in adopting subsurface drainage technology on a large-scale.Land Economics/Use, Resource /Energy Economics and Policy,

    Equity Issues Relating to Irrigation-induced Soil Degradation under Left Bank Canal of Tungabhadra Project Area, Karnataka

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    The equity issues concerning soil degradation and soil reclamation have been analysed for Tungabhadra Project Area of the Karnataka state. The study is based on primary data obtained from 325 respondent farmers. The data gathered by survey method have been analysed using conventional and simple tabular method of analysis, Gini ratio, and Lorenz curve. The study has revealed that the small and marginal farmers are worst affected by soil degradation. The large farmers have also experienced the brunt of soil degradation but the effect has been marginal since they have alternative sources of livelihood. The study has further indicated that the extent of inequity is higher on degraded than normal soils. However, this can be reduced to a great extent by launching land reclamation programmes. Therefore, the study has suggested that the government should initiate land reclamation programmes on a large scale on long-term basis so that the fruits of land reclamation technologies could reach the vulnerable sections of the society.Agricultural and Food Policy,

    Market integration of arecanut in Karnataka state: An error correction model approach

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    Arecanut, being an important commercial and plantation crop of Karnataka, its influence on state economy is significant and profound. To stabilize the vital arecanut economy in the state, government has to emphasize on both production and market related issues. But the existing government policies are favoring the production related aspects. While the existing fewer government policies related to marketing are devised devoid of information on market integration, which is unscientific. In order to formulate scientific policies in case of arecanut, consideration of market integration becomes imperative. In order to assess the existence of market integration in arecanut, data on monthly modal prices of arecanut was collected through Agmarknet from seven representative markets in Karnataka state. Cointegration and error correction model were employed to test the presence of market integration and the results of the study revealed that the arecanut markets in the state are integrated with high speed of adjustment. Thus, it can be concluded that integrated arecanut markets are efficient in price transmission. Hence, in order to stabilize arecanut economy government has to stabilize the prices in one important market, which will be transmitted to other markets automatically with a speed equal to coefficient of error correction, eventually reducing the cost of stabilization

    Alveolar ridge preservation and biologic width management for perioaesthetics- A case report

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    Alveolar bone atrophy is a chronically progressive, irreversible process which results in bone loss in both the buccal, lingual and apico-coronal region. Without bone preservation measures, bone resorption is experienced and continues for life. Preservation of alveolar ridge is indicated when a tooth-supported fixed partial denture will rehabilitate the area. Authors report a case wherein alveolar ridge was preserved and simultaneously biologic width violation was corrected. An excellent aesthetic outcome was achieved and the patient was satisfied with the case resolution. Ridge preservation is an easy procedure to perform and almost always, results are predictable. It provides a good esthetic and functional benefit to the patient and the clinician

    Functional characterization of rare FOXP2 variants in neurodevelopmental disorder

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    BACKGROUND: Heterozygous disruption of FOXP2 causes a rare form of speech and language impairment. Screens of the FOXP2 sequence in individuals with speech/language-related disorders have identified several rare protein-altering variants, but their phenotypic relevance is often unclear. FOXP2 encodes a transcription factor with a forkhead box DNA-binding domain, but little is known about the functions of protein regions outside this domain. METHODS: We performed detailed functional analyses of seven rare FOXP2 variants found in affected cases, including three which have not been previously characterized, testing intracellular localization, transcriptional regulation, dimerization, and interaction with other proteins. To shed further light on molecular functions of FOXP2, we characterized the interaction between this transcription factor and co-repressor proteins of the C-terminal binding protein (CTBP) family. Finally, we analysed the functional significance of the polyglutamine tracts in FOXP2, since tract length variations have been reported in cases of neurodevelopmental disorder. RESULTS: We confirmed etiological roles of multiple FOXP2 variants. Of three variants that have been suggested to cause speech/language disorder, but never before been characterized, only one showed functional effects. For the other two, we found no effects on protein function in any assays, suggesting that they are incidental to the phenotype. We identified a CTBP-binding region within the N-terminal portion of FOXP2. This region includes two amino acid substitutions that occurred on the human lineage following the split from chimpanzees. However, we did not observe any effects of these amino acid changes on CTBP binding or other core aspects of FOXP2 function. Finally, we found that FOXP2 variants with reduced polyglutamine tracts did not exhibit altered behaviour in cellular assays, indicating that such tracts are non-essential for core aspects of FOXP2 function, and that tract variation is unlikely to be a highly penetrant cause of speech/language disorder. CONCLUSIONS: Our findings highlight the importance of functional characterization of novel rare variants in FOXP2 in assessing the contribution of such variants to speech/language disorder and provide further insights into the molecular function of the FOXP2 protein. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s11689-016-9177-2) contains supplementary material, which is available to authorized users

    Comparative and Functional Genomics of Rhodococcus opacus PD630 for Biofuels Development

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    The Actinomycetales bacteria Rhodococcus opacus PD630 and Rhodococcus jostii RHA1 bioconvert a diverse range of organic substrates through lipid biosynthesis into large quantities of energy-rich triacylglycerols (TAGs). To describe the genetic basis of the Rhodococcus oleaginous metabolism, we sequenced and performed comparative analysis of the 9.27 Mb R. opacus PD630 genome. Metabolic-reconstruction assigned 2017 enzymatic reactions to the 8632 R. opacus PD630 genes we identified. Of these, 261 genes were implicated in the R. opacus PD630 TAGs cycle by metabolic reconstruction and gene family analysis. Rhodococcus synthesizes uncommon straight-chain odd-carbon fatty acids in high abundance and stores them as TAGs. We have identified these to be pentadecanoic, heptadecanoic, and cis-heptadecenoic acids. To identify bioconversion pathways, we screened R. opacus PD630, R. jostii RHA1, Ralstonia eutropha H16, and C. glutamicum 13032 for growth on 190 compounds. The results of the catabolic screen, phylogenetic analysis of the TAGs cycle enzymes, and metabolic product characterizations were integrated into a working model of prokaryotic oleaginy.Cambridge-MIT InstituteMassachusetts Institute of Technology. (Seed Grant program)Shell Oil CompanyNational Institute of Allergy and Infectious Diseases (U.S.)United States. National Institutes of HealthNational Institutes of Health. Department of Health and Human Services (Contract No. HHSN272200900006C

    Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities

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    © 2024 The Author(s). Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/In response to the growing need for enhanced energy management in smart grids in sustainable smart cities, this study addresses the critical need for grid stability and efficient integration of renewable energy sources, utilizing advanced technologies like 6G IoT, AI, and blockchain. By deploying a suite of machine learning models like decision trees, XGBoost, support vector machines, and optimally tuned artificial neural networks, grid load fluctuations are predicted, especially during peak demand periods, to prevent overloads and ensure consistent power delivery. Additionally, long short-term memory recurrent neural networks analyze weather data to forecast solar energy production accurately, enabling better energy consumption planning. For microgrid management within individual buildings or clusters, deep Q reinforcement learning dynamically manages and optimizes photovoltaic energy usage, enhancing overall efficiency. The integration of a sophisticated visualization dashboard provides real-time updates and facilitates strategic planning by making complex data accessible. Lastly, the use of blockchain technology in verifying energy consumption readings and transactions promotes transparency and trust, which is crucial for the broader adoption of renewable resources. The combined approach not only stabilizes grid operations but also fosters the reliability and sustainability of energy systems, supporting a more robust adoption of renewable energies.Peer reviewe

    Comparative Genomic Analysis of Human Fungal Pathogens Causing Paracoccidioidomycosis

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    Paracoccidioides is a fungal pathogen and the cause of paracoccidioidomycosis, a health-threatening human systemic mycosis endemic to Latin America. Infection by Paracoccidioides, a dimorphic fungus in the order Onygenales, is coupled with a thermally regulated transition from a soil-dwelling filamentous form to a yeast-like pathogenic form. To better understand the genetic basis of growth and pathogenicity in Paracoccidioides, we sequenced the genomes of two strains of Paracoccidioides brasiliensis (Pb03 and Pb18) and one strain of Paracoccidioides lutzii (Pb01). These genomes range in size from 29.1 Mb to 32.9 Mb and encode 7,610 to 8,130 genes. To enable genetic studies, we mapped 94% of the P. brasiliensis Pb18 assembly onto five chromosomes. We characterized gene family content across Onygenales and related fungi, and within Paracoccidioides we found expansions of the fungal-specific kinase family FunK1. Additionally, the Onygenales have lost many genes involved in carbohydrate metabolism and fewer genes involved in protein metabolism, resulting in a higher ratio of proteases to carbohydrate active enzymes in the Onygenales than their relatives. To determine if gene content correlated with growth on different substrates, we screened the non-pathogenic onygenale Uncinocarpus reesii, which has orthologs for 91% of Paracoccidioides metabolic genes, for growth on 190 carbon sources. U. reesii showed growth on a limited range of carbohydrates, primarily basic plant sugars and cell wall components; this suggests that Onygenales, including dimorphic fungi, can degrade cellulosic plant material in the soil. In addition, U. reesii grew on gelatin and a wide range of dipeptides and amino acids, indicating a preference for proteinaceous growth substrates over carbohydrates, which may enable these fungi to also degrade animal biomass. These capabilities for degrading plant and animal substrates suggest a duality in lifestyle that could enable pathogenic species of Onygenales to transfer from soil to animal hosts.National Institute of Allergy and Infectious Diseases (U.S.)National Institutes of Health. Department of Health and Human Services (contract HHSN266200400001C)National Institutes of Health. Department of Health and Human Services(contract HHSN2722009000018C)Brazil. National Council for Scientific and Technological Developmen

    The Cassava Genome: Current Progress, Future Directions

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    The starchy swollen roots of cassava provide an essential food source for nearly a billion people, as well as possibilities for bioenergy, yet improvements to nutritional content and resistance to threatening diseases are currently impeded. A 454-based whole genome shotgun sequence has been assembled, which covers 69% of the predicted genome size and 96% of protein-coding gene space, with genome finishing underway. The predicted 30,666 genes and 3,485 alternate splice forms are supported by 1.4 M expressed sequence tags (ESTs). Maps based on simple sequence repeat (SSR)-, and EST-derived single nucleotide polymorphisms (SNPs) already exist. Thanks to the genome sequence, a high-density linkage map is currently being developed from a cross between two diverse cassava cultivars: one susceptible to cassava brown streak disease; the other resistant. An efficient genotyping-by-sequencing (GBS) approach is being developed to catalog SNPs both within the mapping population and among diverse African farmer-preferred varieties of cassava. These resources will accelerate marker-assisted breeding programs, allowing improvements in disease-resistance and nutrition, and will help us understand the genetic basis for disease resistance
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