1,754 research outputs found

    Impact of Vocational Training Programme toward Rural Women Conducted by KVK in Korea District of Chhattisgarh

    Get PDF
    KVKs impart trainings and education with a view to raise the level of knowledge, attitudinal changes and testing and transferring of recommended improved farm technologies so as to bridge the gap between production and productivity and also to increase self-employment opportunities among the farming community. Rural Women in India, contributing 25% of GDP, is increasingly becoming a Female Activity. The present study was an attempt to evaluate the impact of training on its beneficiaries with reference to know the extent of success in raising the income of beneficiaries. For attaining the objectives, the present investigation was carried out in Baikunthpur block of Koriya district, Chhattisgarh. A total of 60 trainees and 60 non-trainees were selected as sample for the study.  The data were collected by personal interview with the help of structured and pre-tested schedule.  Percentage and other statistical tools were used to analyze the data. Age, educational status, land holding, number of training attended and progressiveness had significant relation with income and employment generation. Size of family, occupation, annual income, extension participation and risk bearing capacity had non-significant relation with income and employment generation. View Article DOI: 10.47856/ijaast.2021.v08i11.00

    MA-DST: Multi-Attention Based Scalable Dialog State Tracking

    Full text link
    Task oriented dialog agents provide a natural language interface for users to complete their goal. Dialog State Tracking (DST), which is often a core component of these systems, tracks the system's understanding of the user's goal throughout the conversation. To enable accurate multi-domain DST, the model needs to encode dependencies between past utterances and slot semantics and understand the dialog context, including long-range cross-domain references. We introduce a novel architecture for this task to encode the conversation history and slot semantics more robustly by using attention mechanisms at multiple granularities. In particular, we use cross-attention to model relationships between the context and slots at different semantic levels and self-attention to resolve cross-domain coreferences. In addition, our proposed architecture does not rely on knowing the domain ontologies beforehand and can also be used in a zero-shot setting for new domains or unseen slot values. Our model improves the joint goal accuracy by 5% (absolute) in the full-data setting and by up to 2% (absolute) in the zero-shot setting over the present state-of-the-art on the MultiWoZ 2.1 dataset.Comment: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020

    MINIMIZATION OF LOAD BASED RESOURCES IN CLOUD COMPUTING SYSTEMS

    Get PDF
    “Cloud computing” is a term, which involves virtualization, distributed computing, networking, software and Web services. Our Objective is to develop an effective load balancing algorithm using Divisible Load Scheduling Theorem to maximize or minimize different performance parameters (throughput, latency for example) for the clouds of different sizes. Central to these issues lays the establishment of an efficient load balancing algorithm. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all processor in the system or every node in the network does approximately the equal amount of work at any instant of time

    Entrepreneurial Behaviour of the Agriculture Students-A review

    Get PDF
    The present study aimed to investigate the factors that influence the entrepreneurial behavior of college students. The study identified various personal and situational factors that may affect entrepreneurial behavior. The results showed that personality traits, such as openness, extraversion, and conscientiousness, had a significant positive impact on entrepreneurial behavior. Specific motivational traits, such as entrepreneurial self-efficacy, internal locus of control, and risk-taking propensity, were also significant predictors of entrepreneurial behavior. Situational factors, such as entrepreneurship education, were found to have a significant positive impact on entrepreneurial behavior, with entrepreneurial self-efficacy playing a key mediating role in this relationship. Attitudes towards entrepreneurship were found to be a significant driver of entrepreneurial intention, with perceived desirability and feasibility, as well as perceived individual and collective efficacy, also significant predictors of entrepreneurial intention. Sustainable entrepreneurial intention was found to be influenced by attitude towards the behavior variable, with subjective norms playing an indirect role in mediating this effect. Overall, the study suggests that personal traits, such as personality and motivational factors, as well as situational factors, such as education and attitudes towards entrepreneurship, are significant predictors of entrepreneurial behavior. These findings have important implications for educators and policymakers who seek to promote entrepreneurial behavior among college students. Future research should continue to explore the complex relationships between personal and situational factors and entrepreneurial behavior to further enhance our understanding of this important phenomenon. &nbsp

    The effects of Eurycoma longifolia on testosterone and blood pressure in high-fat-Fed animal model

    Get PDF
    There is increased prevalence of hypertensives among Malaysians in the last decade. The cost of antihypertensive agents is also escalating. There is a dire need for cheaper alternative drugs. In tropical regions, there have been claims that Eurycoma longifolia (EL) a local herbal plant is effective in obliterating headache and reducing blood pressure. Most studies had focused on aphrodisiac property of EL which has been shown to enhance testosterone levels in males. This study exploredthe possible effect of EL as an anti-hypertensive agent and whether the mechanism is related to serum testosterone levels. Twenty four healthy male Sprague-Dawley rats were randomly divided into four groups (n=6): normal diet (ND), normal diet treated with EL (NDEL), high-fat diet (HFD) and HFD treated with EL (HFDEL). EL (15 mg/kg) was administered orally for 12 weeks. The animal’s body weight, blood pressure and testosterone level were measured at week 0, 6 and 12.Results showed that the level of testosterone in groups receiving EL were significantly increased (P<0.05) from the untreated groups, in agreement with previous studies report on EL increasing testosterone level. Rats with high fat diet benefitted from treatment with EL extract (HFDEL)as there were reduced systolic and diastolic blood pressure significantly (P<0.05). Despite this effect, there were no significant correlations between blood pressure and testosterone level in HFDEL. There were no changes of blood pressure in rats receiving normal diet with or without EL, but there was a significant negative correlation (r= -0.846, p=0.034) between testosterone and diastolic blood pressure in NDEL. This study suggested the presence of anti-hypertensive property of EL in high fat diet induced hypertension, but it not associated with testosterone level. The blood pressure lowerin

    Patterns of basal signaling heterogeneity can distinguish cellular populations with different drug sensitivities

    Get PDF
    Non small cell lung cancer H460 clones exhibit a high degree of heterogeneity in signaling states.Clones with similar patterns of basal signaling heterogeneity have similar paclitaxel sensitivities.Models of signaling heterogeneity among the clones can be used to classify sensitivity to paclitaxel for other cancer populations
    corecore