75 research outputs found

    Parts Of Speech Tagger and Chunker for Malayalam: Statistical Approach

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    Parts of Speech Tagger (POS) is the task of assigning to each word of a text the proper POS tag in its context of appearance in sentences. The Chunking is the process of identifying and assigning different types of phrases in sentences. In this paper, a statistical approach with the Hidden Markov Model following the Viterbi algorithm is described. The corpus both tagged and untagged used for training and testing the system is in the Unicode UTF-8 format

    Parts Of Speech Tagger and Chunker for Malayalam: Statistical Approach

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    Parts of Speech Tagger (POS) is the task of assigning to each word of a text the proper POS tag in its context of appearance in sentences. The Chunking is the process of identifying and assigning different types of phrases in sentences. In this paper, a statistical approach with the Hidden Markov Model following the Viterbi algorithm is described. The corpus both tagged and untagged used for training and testing the system is in the Unicode UTF-8 format

    Technology Assessment and Refinement of Farming Practices in Vypeen Island, Kerala: Implications for Designing Effective and Socially Optimal Development Strategies

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    Traditional farming practices of diverse production systems in a defined coastal agro-ecosystem is assessedthrough participatoryapproachesand later refinedthrougha plannedset of techno-interventions,as part of the widely acclaimed Institution Village Linkage Programme (IVLP). The strategies adopted for the implementationand executionof IVLPbythe Central MarineFisheriesResearchInstitute,Kochi hasembedded with tools for a socially optimal development paradigm. The techno-interventions are carried out in a coastal village of Vypeen Island -Elamkunnapuzha- in Ernakulam district during first phase and later to the whole of Vypeen Island, for horizontally expanded interventions in second phase. The present paper focuses on the extension processes that contributedto the success of IVLPand alsoon a comparativeeconomic assessment of the consumptive value of the various produce brewed out of plannedscientific interventions in aquaculture, livestock management and agri-hortifarming.The study made useof the secondary data from IVLPof CMFRI and a rapid rural appraisal on linkages and sustainability components. The IVLP has been successful in building instantaneous linkagesamong farmers, fisherfolk, researchinstitutions, agricultural universitiesand the local extension system. The linkages established by IVLP is assessed by way of actor-linkage-matrix developed for monitoring partnership building and found that it has made significant linkages with various institutions. There is enough space for building further linkages especially with NGOs and other community based organisations for an intensivesustainability of the project benefit. Onthe output side, the comparative economic assessment revealsthe considerable improvement in overall productionand earnings comparedto traditional farming practices. Aquaculture demands comparatively more investment than those of livestock management and agri-horti farming,and resulted in better economic returns

    Donkey milk: chemical make-up, biochemical features, nutritional worth, and possible human health benefits - Current state of scientific knowledge

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    Milk and milk derivatives are widely consumed because of their high nutritional density. Donkey milk and milk products have been consumed since ancient times. The use of donkey milk in the human diet is gaining popularity. The abundance of antibacterial components and protective elements in donkey milk sets it apart from the milk of other animals. Like human milk, donkey milk has low fat, high lactose, and low casein/whey protein ratio. Donkey milk whey protein's anti-proliferative properties imply lung cancer treatment. Alpha-lactalbumin, a type of protein, has been found to have antiviral, anticancer, and anti-stress properties. Donkey milk, like human milk, includes a low amount of casein and a smaller quantity of beta-lactoglobulin than cow milk. Donkey milk is an alternative for newborns with cow milk protein allergy and lactose intolerance since it has a higher amount of lactose, improves palatability, and prevents allergies. Osteogenesis, arteriosclerosis therapy, cardiac rehabilitation, accelerated aging, and hypocholesterolemic diets are some areas where donkey milk is beneficial. Since it contains probiotic lactobacilli strains, fermented beverages can be made with donkey milk. Donkey milk moisturizes skin due to its high vitamin, mineral, and polyunsaturated fatty acid content. The chemical makeup and potential therapeutic benefits of donkey milk warrant additional research. This has led to a rise in interest in producing dairy goods derived from donkey milk. Donkey milk has been used to make cheese, ice cream, milk powder, and even some experimental useful fermented drinks. The present article summarises what we know about donkey milk's chemical makeup, biological functions, nutritional worth, and possible human health benefits

    Reconciliation of essential process parameters for an enhanced predictability of Arctic stratospheric ozone loss and its climate interactions

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    Significant reductions in stratospheric ozone occur inside the polar vortices each spring when chlorine radicals produced by heterogeneous reactions on cold particle surfaces in winter destroy ozone mainly in two catalytic cycles, the ClO dimer cycle and the ClO/BrO cycle. Chlorofluorocarbons (CFCs), which are responsible for most of the chlorine currently present in the stratosphere, have been banned by the Montreal Protocol and its amendments, and the ozone layer is predicted to recover to 1980 levels within the next few decades. During the same period, however, climate change is expected to alter the temperature, circulation patterns and chemical composition in the stratosphere, and possible geo-engineering ventures to mitigate climate change may lead to additional changes. To realistically predict the response of the ozone layer to such influences requires the correct representation of all relevant processes. The European project RECONCILE has comprehensively addressed remaining questions in the context of polar ozone depletion, with the objective to quantify the rates of some of the most relevant, yet still uncertain physical and chemical processes. To this end RECONCILE used a broad approach of laboratory experiments, two field missions in the Arctic winter 2009/10 employing the high altitude research aircraft M55-Geophysica and an extensive match ozone sonde campaign, as well as microphysical and chemical transport modelling and data assimilation. Some of the main outcomes of RECONCILE are as follows: (1) vortex meteorology: the 2009/10 Arctic winter was unusually cold at stratospheric levels during the six-week period from mid-December 2009 until the end of January 2010, with reduced transport and mixing across the polar vortex edge; polar vortex stability and how it is influenced by dynamic processes in the troposphere has led to unprecedented, synoptic-scale stratospheric regions with temperatures below the frost point; in these regions stratospheric ice clouds have been observed, extending over >106km2 during more than 3 weeks. (2) Particle microphysics: heterogeneous nucleation of nitric acid trihydrate (NAT) particles in the absence of ice has been unambiguously demonstrated; conversely, the synoptic scale ice clouds also appear to nucleate heterogeneously; a variety of possible heterogeneous nuclei has been characterised by chemical analysis of the non-volatile fraction of the background aerosol; substantial formation of solid particles and denitrification via their sedimentation has been observed and model parameterizations have been improved. (3) Chemistry: strong evidence has been found for significant chlorine activation not only on polar stratospheric clouds (PSCs) but also on cold binary aerosol; laboratory experiments and field data on the ClOOCl photolysis rate and other kinetic parameters have been shown to be consistent with an adequate degree of certainty; no evidence has been found that would support the existence of yet unknown chemical mechanisms making a significant contribution to polar ozone loss. (4) Global modelling: results from process studies have been implemented in a prognostic chemistry climate model (CCM); simulations with improved parameterisations of processes relevant for polar ozone depletion are evaluated against satellite data and other long term records using data assimilation and detrended fluctuation analysis. Finally, measurements and process studies within RECONCILE were also applied to the winter 2010/11, when special meteorological conditions led to the highest chemical ozone loss ever observed in the Arctic. In addition to quantifying the 2010/11 ozone loss and to understand its causes including possible connections to climate change, its impacts were addressed, such as changes in surface ultraviolet (UV) radiation in the densely populated northern mid-latitudes

    Reconciliation of essential process parameters for an enhanced predictability of Arctic stratospheric ozone loss and its climate interactions : (RECONCILE) ; activities and results

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    The international research project RECONCILE has addressed central questions regarding polar ozone depletion, with the objective to quantify some of the most relevant yet still uncertain physical and chemical processes and thereby improve prognostic modelling capabilities to realistically predict the response of the ozone layer to climate change. This overview paper outlines the scope and the general approach of RECONCILE, and it provides a summary of observations and modelling in 2010 and 2011 that have generated an in many respects unprecedented dataset to study processes in the Arctic winter stratosphere. Principally, it summarises important outcomes of RECONCILE including (i) better constraints and enhanced consistency on the set of parameters governing catalytic ozone destruction cycles, (ii) a better understanding of the role of cold binary aerosols in heterogeneous chlorine activation, (iii) an improved scheme of polar stratospheric cloud (PSC) processes that includes heterogeneous nucleation of nitric acid trihydrate (NAT) and ice on non-volatile background aerosol leading to better model parameterisations with respect to denitrification, and (iv) long transient simulations with a chemistry-climate model (CCM) updated based on the results of RECONCILE that better reproduce past ozone trends in Antarctica and are deemed to produce more reliable predictions of future ozone trends. The process studies and the global simulations conducted in RECONCILE show that in the Arctic, ozone depletion uncertainties in the chemical and microphysical processes are now clearly smaller than the sensitivity to dynamic variability

    Search for Wγ resonances in proton-proton collisions at s=13 TeV using hadronic decays of Lorentz-boosted W bosons

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    A search for Wγ resonances in the mass range between 0.7 and 6.0 TeV is presented. The W boson is reconstructed via its hadronic decays, with the final-state products forming a single large-radius jet, owing to a high Lorentz boost of the W boson. The search is based on proton-proton collision data at s=13 TeV, corresponding to an integrated luminosity of 137 fb−1, collected with the CMS detector at the LHC in 2016–2018. The Wγ mass spectrum is parameterized with a smoothly falling background function and examined for the presence of resonance-like signals. No significant excess above the predicted background is observed. Model-specific upper limits at 95% confidence level on the product of the cross section and branching fraction to the Wγ channel are set. Limits for narrow resonances and for resonances with an intrinsic width equal to 5% of their mass, for spin-0 and spin-1 hypotheses, range between 0.17 fb at 6.0 TeV and 55 fb at 0.7 TeV. These are the most restrictive limits to date on the existence of such resonances over a large range of probed masses. In specific heavy scalar (vector) triplet benchmark models, narrow resonances with masses between 0.75 (1.15) and 1.40 (1.36) TeV are excluded for a range of model parameters. Model-independent limits on the product of the cross section, signal acceptance, and branching fraction to the Wγ channel are set for minimum Wγ mass thresholds between 1.5 and 8.0 TeV

    Search for Wγ resonances in proton-proton collisions at s=13 TeV using hadronic decays of Lorentz-boosted W bosons

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    Copyright © The Author(s). A search for resonances in the mass range between 0.7 and 6.0 TeV is presented. The W boson is reconstructed via its hadronic decays, with the final-state products forming a single large-radius jet, owing to a high Lorentz boost of the W boson. The search is based on proton-proton collision data at TeV, corresponding to an integrated luminosity of 137 fb−1, collected with the CMS detector at the LHC in 2016–2018. The mass spectrum is parameterized with a smoothly falling background function and examined for the presence of resonance-like signals. No significant excess above the predicted background is observed. Model-specific upper limits at 95% confidence level on the product of the cross section and branching fraction to the channel are set. Limits for narrow resonances and for resonances with an intrinsic width equal to 5% of their mass, for spin-0 and spin-1 hypotheses, range between 0.17 fb at 6.0 TeV and 55 fb at 0.7 TeV. These are the most restrictive limits to date on the existence of such resonances over a large range of probed masses. In specific heavy scalar (vector) triplet benchmark models, narrow resonances with masses between 0.75 (1.15) and 1.40 (1.36) TeV are excluded for a range of model parameters. Model-independent limits on the product of the cross section, signal acceptance, and branching fraction to the channel are set for minimum mass thresholds between 1.5 and 8.0 TeV.SCOAP3

    Determination of Soil Parameters and Pulling Force Requirement of Tapioca Root

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    Aims: This paper aims to explore the soil parameters and pulling force requirement of tapioca root for the design and development of tractor operated tapioca harvester. Place and Duration of Study: The study was conducted to investigate the soil parameters and pulling force requirement of tapioca roots at farmer’s field in the year 2021-22. Methodology: The soil parameters viz. moisture content, bulk density, cone index and shear strength and pulling force requirement of tapioca root were studied using standard test procedure that plays an important role in design of soil engaging components and conveying unit of the tuber harvester. Results: The results showed that soil moisture content varied from 13.11 to 16.08 per cent, whereas bulk density ranged from 1483.07 to 1729.56 kg m-3. The cone index varied from 0.33 to 0.98 N mm-2 with an average value of 0.637 N mm-2 and shear strength ranged from 1.34 × 10-3 to 3.48 × 10-3 N mm-2 with the mean value of 2.46 × 10-3 N mm-2. The average value of pulling force requirement for tapioca roots was 103.4 kgf. The root depth and root yield per plant of tapioca roots has an average value of 250.30 mm and 7.82 kg. Conclusion: The study shows that bulk density of soil increased with increase in soil moisture content and had a linear relationship. The coefficient of determination (R2) for the regression model was 93.20 per cent by revealing the linear relationship between shear strength and cone index. Thus shear strength and cone index are related with each other and have an indefinite effect on the design parameters of soil engaging components of tuber harvester
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