2,200 research outputs found

    Integrated systems approach for enhancing resilience of arid farming systems in South Asia

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    This paper aims to share the methods and processes of designing resilient farming systems to improve livelihoods under the drylands in South-Asia. The study is based on 250 randomly selected farm households along the rainfall gradient from Jodhpur- Barmer-Jaisalmer districts in Western Rajasthan in India. Our analysis demonstrates that the dryland smallholder farming systems occur within diverse agro-ecological and socio-economic environments and develop different livelihood strategies driven by opportunities and constraints encountered. Multiple livelihood assets determine different land use patterns and agricultural management practices in dryland systems in south Asia. Well-designed household survey on socio-economic and agroecological variables and statistical approach helped capture the diversity of livelihood assets to categorize households into homogenous farm types. The follow up FDG’s with farmers and stakeholder were equally important to validate farm typologies and prioritization of interventions. Engaging the innovation platform for identification of potential innovation options and their prioritization at district level; involving farmers for each farm typology, and ex-ante assessment of promising options led to the on-farm assessment of farm type specific most appropriate interventions in the action villages. Landscape and community level options were prioritized with the village development committee and proactive farmers. The institutional platforms experimented at village to regional level has strengthened the capacity of the community/stakeholders to innovate to improve the farming systems resilience and economic viability. An ex-post assessment demonstrates significant increase in farming systems productivity, household income and development of value chains as well as sustainable management of natural resource including common pastures. This study contributes to the understanding of how research for development through integrated systems approach can contribute towards stabilizing farm incomes, sustainable intensification and smoothening livelihood of resource poor farmers in vulnerable dry regions

    Long Time Scale Ensemble Methods in Molecular Dynamics: Ligand-Protein Interactions and Allostery in SARS-CoV-2 Targets

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    We subject a series of five protein–ligand systems which contain important SARS-CoV-2 targets, 3-chymotrypsin-like protease (3CLPro), papain-like protease, and adenosine ribose phosphatase, to long time scale and adaptive sampling molecular dynamics simulations. By performing ensembles of ten or twelve 10 μs simulations for each system, we accurately and reproducibly determine ligand binding sites, both crystallographically resolved and otherwise, thereby discovering binding sites that can be exploited for drug discovery. We also report robust, ensemble-based observation of conformational changes that occur at the main binding site of 3CLPro due to the presence of another ligand at an allosteric binding site explaining the underlying cascade of events responsible for its inhibitory effect. Using our simulations, we have discovered a novel allosteric mechanism of inhibition for a ligand known to bind only at the substrate binding site. Due to the chaotic nature of molecular dynamics trajectories, regardless of their temporal duration individual trajectories do not allow for accurate or reproducible elucidation of macroscopic expectation values. Unprecedentedly at this time scale, we compare the statistical distribution of protein–ligand contact frequencies for these ten/twelve 10 μs trajectories and find that over 90% of trajectories have significantly different contact frequency distributions. Furthermore, using a direct binding free energy calculation protocol, we determine the ligand binding free energies for each of the identified sites using long time scale simulations. The free energies differ by 0.77 to 7.26 kcal/mol across individual trajectories depending on the binding site and the system. We show that, although this is the standard way such quantities are currently reported at long time scale, individual simulations do not yield reliable free energies. Ensembles of independent trajectories are necessary to overcome the aleatoric uncertainty in order to obtain statistically meaningful and reproducible results. Finally, we compare the application of different free energy methods to these systems and discuss their advantages and disadvantages. Our findings here are generally applicable to all molecular dynamics based applications and not confined to the free energy methods used in this study

    Vermicomposting of green Eucalyptus leaf litter by Eisenia foetida and Eudrilus eugenia

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    Effective clearance of different types of waste has become significant to sustain healthy environment. Vermicomposting has become a suitable substitute for the safe, hygienic and cost effective disposal of organic solid wastes. Earthworms decompose organic waste leading to the production of compost which is high in nutrient content. The present work has been designed to reveal competitive and / or beneficial interactions by studying the inter-specific interactions in terms of growth, maturation, survival and vermicomposting efficiency of two earthworm species Eisenia foetida and Eudrilus eugenia exposed to green leaf litter of Eucalyptus and measured physical variables during entire process. The complete process was taken fourteen weeks.Work was done in plastic beans in four set. 100 % cattle dung was also taken as a control. During the process following parameters viz. pH, temperature, biomass reduction and moisture content were analysed.pHof vermicomposting substrate was recorded low initially acidic but at last stage set in alkaline range. In case of temperature, it was changed 16-18°C ± 1°C from initial value. This was higher than control cattle dung (13°C± 1°C). Organic biomass was also depleted during process which was about 70-71 % ±1 % from initial level as compaired to cattle dung (46 %). Moisture content was lowerinitially then increased and set at high level

    Expedient method for oxidation of alcohol by hydrogen peroxide in the presence of amberlite IRA 400 resin (basic) as phase-transfer catalyst

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    Amberlite IRA 400 (strongly basic), a classical polymer imparts phasetransfer catalysis in the oxidation of primary and secondary alcohols by hydrogen peroxide to give excellent yields of the corresponding carbonyl compounds or carboxylic acids in acetonitrile solvent at reflux temperature in 4–6 h. The catalytic system is inert to other susceptible oxidation sites such as carbon–carbon double bond

    Integrated ecosystems approach for sustainable intensification of community based silvo-patoral systems in arid western Rajasthan, India: implications for upscaling

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    The common pastures in arid Rajasthan, India though are critically important for sustaining livestock dominant smallholder rural livelihoods and ecosystems services, but have been severely degraded due to several factors. Among others, the stakeholders’ perception of low returns on any investment of time or other resources for restoring these degraded common property resources (CPRs) is resulting into their continuous neglect. Generating sufficient on-farm evidence of enhanced biomass productivity and returns from CPRs employing integrated natural resource management and appropriate governance mechanisms are suggested strategies for enhancing community participation and influencing policies for their sustainable development. The present study aims to understand the key drivers of CPRs management and assess the potential of sustainable intensification of community silvo-pastoral systems for increased biomass production and returns in arid western Rajasthan, India. The study was undertaken in Jodhpur, Barmer and Jaisalmer districts across the annual rainfall gradient from 170 mm to 280 mm. The case-study analyses and the group-discussions were used as a starting point for facilitated community elaborations on how to adopt appropriate by-laws and identify opportunities and challenges of sustainable intensification of community pastures. Action-sites of 10 ha degraded common pastures were identified in each of the three communities to test silvo-pastoral rehabilitation options. Participatory Mozer-framework matrix accounted for local preferences and climate in selecting the plant species. The community was involved in in-situ and ex-situ water and soil conservation, species selection and monitoring, fencing, cut and carry systems and output sharing. The biomass assessment with respect to yield, species diversity, share of edible and non-edible species was carried out in pasture and control plots. The integrated ecosystems approach for rehabilitation of severely degraded community silvo-pastoral systems under arid region resulted in many-fold increase in biomass yield from 0.25-0.40 t/ha to 1.6–4.6 t/ha in the second year. The proportion of edible species increased from 15 -24% to 55 – 73%. The ex-ante analysis for a 10 year time horizon indicates payback period of about three years and over 30% IRR. Paper explores the potential to upscale the approach to at least one quarter of the common lands in west Rajasthan (1 m ha) producing about 2.5 million tons additional biomass. The study highlights the role of the structure and functions of the production system as well as social ecological system in designing appropriate NRM interventions, species selection, grazing system, market integration and institutional mechanisms

    A novel method for the synthesis of chiral epoxides from styrene derivatives using chiral acids in presence of Pseudomonas lipase G6 [PSL G6] and hydrogen peroxide

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    hiralepoxidationofstyreneanditsderivativeswascarriedoutusingseriesofchiralacidsandureahydrogenperoxide(UHP)or aqueoushydrogenperoxide(50%)intwophasesunderthecatalyticinfluenceofimmobilizedPseudomonaslipaseG6[PSLG6]at25–55 C. A moderate to good yield and enantioselectivities of chiral epoxides were obtained

    Assessment of Agricultural Technologies for Dryland Systems in South Asia: A Case Study of Western Rajasthan, India

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    Western Rajasthan accounts for 61% of the total hot arid zone in India (31.7 m ha). The rest of the arid area is spread over Gujarat (20%), Punjab and Haryana (9%), as well as small parts of Andhra Pradesh and Karnataka (10%). The arid region receives <450 mm annual rainfall with 40-80% coefficient of variation. With evapotranspiration (ET) four to five-fold higher than rainfall, aridity, deficit water balance, and scarcity of water for drinking and other purposes are often severe. Natural resources such as water, land and vegetation are very fragile and partly non-resilient, and hence the area is prone to irreversible land degradation and desertification under excessive pressure from human and livestock populations. Arable cropping alone is not a dependable proposition in these drylands. Animal wealth provides sustainable support to livelihoods, but the sector is not yet well organized. Only one crop can be grown during a good rainfall year, and on average, a year of good harvest is normal during a cycle of five years, while two are expected to yield moderate crops and at least two failures are usual. The arid region offers limited scope for water harvesting and recycling, particularly at a watershed scale. There is better scope for integrated land resource development on the basis of village clusters, index catchments and dune-interdune complex

    Application of Portsmouth modification of physiological and operative severity scoring system for enumeration of morbidity and mortality (P-POSSUM) in pancreatic surgery

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    <p>Abstract</p> <p>Background</p> <p>Pancreatoduodenectomy (PD) is associated with high incidence of morbidity and mortality. We have applied P-POSSUM in predicting the incidence of outcome after PD to identify those who are at the highest risk of developing complications.</p> <p>Method</p> <p>A prospective database of 241 consecutive patients who had PD from January 2002 to September 2005 was retrospectively updated and analysed. P-POSSUM score was calculated for each patient and correlated with observed morbidity and mortality.</p> <p>Results</p> <p>30 days mortality was 7.8% and morbidity was 44.8%. Mean physiological score was 16.07 ± 3.30. Mean operative score was 13.67 ± 3.42. Mean operative score rose to 20.28 ± 2.52 for the complex major operation (p < 0.001) with 2 fold increase in morbidity and 3.5 fold increase in mortality. For groups of patients with a physiological score of (less than or equal to) 18, the O:P (observed to Predicted) morbidity ratio was 1.3–1.4 and, with a physiological score of >18, the O:P ratio was nearer to 1. Physiological score and white cell count were significant in a multivariate model.</p> <p>Conclusion</p> <p>P-POSSUM underestimated the mortality rate. While P-POSSUM analysis gave a truer prediction of morbidity, underestimation of morbidity and potential for systematic inaccuracy in prediction of complications at lower risk levels is a significant issue for pancreatic surgery</p
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