43 research outputs found

    Intelligent Control and Operation of Distribution System

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    Post-harvest practices and loss assessment in tomato (Solanum lycopersicum L.) in Kathmandu, Nepal

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    Postharvest loss is one of the major problems in tomato production. This study was conducted to assess the post-harvest practices and losses of tomato at the farmers’ fields in three districts namely Kathmandu (Kavresthali), Lalitpur (Lubhoo, and Lamatar), and Bhaktapur (Tathali and Kaushaltar). By using a simple random sampling method, the sample size of 60 respondents was chosen. A pre-tested questionnaire, group conversation, and key-informant survey were applied in this study. The results revealed that 10.3% of the respondents produced the tomato on a small scale whereas 58.8% of respondents produced on large scale. 10% of total losses were found from harvesting to marketing. In the field, during harvesting and packaging, there was a 2% loss. The tomato loss was negligible during grading and washing. 4% loss was found during the transportation of tomato and 2% of the loss during the storage of tomato. To the producer level, the insufficient knowledge about the storage, packaging, transportation, and random harvesting led to the maximum loss of tomato. In the study area, the producers played important role in reducing the postharvest loss of tomato, therefore, public awareness should be increased through mass media about the proper harvesting and storing of tomato. &nbsp

    DETERMINANTS OF DIVIDEND PAYOUT DECISIONS OF COMMERCIAL BANKS IN NEPAL

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    This study attempts to determine the factors affecting the dividend payout decision of commercial banks in Nepal. The study is based on the secondary balance panel data of 12 commercial banks with 60 observations' for the period of 2013/14 to 2017/18. The dividend payout ratio has taken as dependent variables whereas return on assets, size of bank, market value per share, and inflation rate has been taken independent variables. The results of Pooled OLS model and Random Effects model for panel data analysis has been estimated in this study. The regression result of these models reveals that profitability, size of banks and Inflation rate are negatively related to dividend payout decision of Nepalese commercial banks evidences. It shown that higher the profitability, size of banks and Inflation rate lower would be the dividend payout decisions. However the results show that market value per share has positive relationship with dividend payout decision. This indicates that increase in the level of market value per share leads to increase in the dividend payout decision. The study has concluded that the market value per share is the major determinant of dividend payout decision

    Challenges of Bengal tiger (Panthera tigris tigris) conservation in the tropics: lessons learned from the Chitwan National Park of Nepal

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    This research deals with the challenges of the conservation of tiger (Panthera tigris tigris) in the Chitwan National Park of Nepal and aims to be a model for tiger conservation in the tropical areas of other tiger range countries. Despite the high level of public concern and major investments during the last few decades for conservation, wild tigers continue to be under grave threat, and their preservation now requires, more than ever before, using reliable ecological knowledge for their conservation interventions. In this dissertation, I investigated various factors that affect on tiger conservation in this park: population status of prey, dietary patterns of tiger and its impact on sympatric carnivores (e.g., leopard) and increasing human-wildlife conflicts, effects of habitat structures and human disturbances on prey and predator species abundance and distribution

    Factors Associated with Habitat Segregation Among the Four Species of Cervids in the Chitwan National Park, Nepal

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    Study of habitat segregation among the four species of cervids was conducted in the Chitwan National park of lowland Nepal. This study aimed to investigate the possible mechanisms of habitat partitioning among the four cervids - chital, sambar deer, hog deer and northern red muntjac using discriminant analysis and canonical correlation analysis. Present study considered four major niche dimensions - habitat, human disturbance, presence of predators and seasons. The data were collected by walking along the line transects that encompasses the different habitats, varying degree of human disturbances and frequency of predator’s presence. Results showed the significant effect of season on the habitat segregation among these cervids. There was higher niche overlap during summer season as compared to winter season. Habitat overlap between chital and muntjac was higher and unstable than others, which showed that they were the competitors of the same resources as enlightened by their generalist nature. Therefore, maintaining habitat heterogeneity and minimizing human disturbances will be better solutions for the coexistence of herbivores in the Chitwan National Park and can be an example for similar areas of lowland Nepal

    Correlates and impacts of human-mammal conflict in the central part of Chitwan Annapurna Landscape, Nepal

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    Crop damage, predation on domestic animals and human attacks are often associated with human-wildlife conflict. The abundance and encounter rate of wild mammals are often associated with human wildlife conflict. Crop damage, livestock depredation and human injury and their relation with environmental factors and encounter rate of the mammals was evaluated in the central region of Chitwan Annapurna Landscape. The abundance and the encounter rate of large mammals were determined by dividing the study area into four different study blocks (A, B, C and D) based on river course and topography. A total of 150 transects (average length = 3.18 ± 0.11 km), were administrated for data collection. Similarly, information on human-wildlife conflict was collected using 600 semi-structured questionnaires (150 from each block). The chital was the most abundant mammal (encounter rate (ER) = 1.49 and relative abundance (RA) = 55.45%) in block A whereas muntjac had the highest encounter rate in blocks B, C and D (ER = 0.34, 0.31, 0.79 respectively) but the relative abundance of rhesus was comparatively higher in blocks B, C and D. The signs of tiger were reported from block A only whereas signs of leopard were reported from all blocks. But signs of Himalayan black bear were reported from B, C and D. The encounter rate of the mammals correlated with the monetary loss caused by them. Greater one-horned rhino, wild pig and chital in lowland and monkeys, northern red muntjac, and Himalayan black bear in mid-hills (blocks B, C and D) were the principal crop raiders with a total average annual loss of US11.45perhousehold.Similarly,thetotalannualmonetarylossbylivestockdepredationwasUS 11.45 per household. Similarly, the total annual monetary loss by livestock depredation was US 76.60 per household. This study evaluated the encounter rate of mammals and their effects on the conflict with people. However, the negative effects arrived from human-wildlife conflicts always threaten large mammals. Hence, this study suggests future intensive studies related to mitigation and prevention methods to mitigate the issues of human-wildlife conflicts

    Determinants of abundance and habitat association of mammals in Barandabhar Corridor Forest, Chitwan, Nepal

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    Barandabhar Corridor Forest (BCF), the biologically functional corridor, is surrounded by the large human settlements that exploit the corridor where large mammals such as tigers, leopards and their prey such as ungulates, primates, and rhinoceros occur. This study aimed to evaluate major determinants that affect the distribution of large mammals in BCF, Chitwan, Nepal that connects the biologically significant Chitwan National Park with the Mahabharat range. The status and distribution of large mammals along the habitat and disturbance gradients were determined by using 29 line transects (mean length = 4.59 ± 0.38 km) that covered a linear distance of 133.13 km. The chital were the most abundant mammals (density per km2 (D) = 8.9095 ± 1.4570 and encounter rate per km (ER) = 1.49) followed by rhesus monkey (D = 38.896 ± 16.013, ER = 0.28), wild boar (D = 14.814 ± 3.57, ER = 0.62), northern red muntjac (D = 9.6566 ± 2.9514, ER = 0.62) and sambar (D = 5.392 ± 2.319, ER = 0.38). Similarly, the sign encounter rate of tiger and leopard was 0.435 and 0.503 respectively. Habitat types, human disturbances, and coverage of invasive and alien plant species (IAPs) played a key role in the distribution of large mammals. The occurrence of mammals was low nearer to the settlements and roads and coverage of IAPs and more nearer to the water resources. However, degradation of foraging grounds such as grasslands by succession and invasion of alien plant species added more threats to the survival of large mammals. Therefore, such a situation can be improved through the scientific management of forests and grasslands

    IMPROVEMENTS FOR STABILIZING THE COLLABORATIVE E-LEARNING SYSTEM ON UNSTABLE ENVIRONMENTS

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    The target of our collaborative e-learning system consists of schools in the rural villages of developing countries. We have continued study the Kaski district of Nepal as our research field since 2012. In this area, there are not only problems such as a lack of learning resources and instructors, but also issues related to power failure and network outages due to the high altitude and the irregular weather. For such an unstable environment, we have developed a cluster-based e-learning system that can be used independently for each school, despite network disconnections. Since 2016, we have used this system; however, following COVID-19, it became difficult to maintain the system due to lockdown restrictions. Consequently, many devices in our system broke due to aging; therefore, we must improve the system. We changed our mind and found that this as an opportunity, re-construct our system for better stability. In this paper, we propose our new system to achieve stability by providing redundancy on the cloud, and by implementing a new function that enables a new node to join the system automatically

    Trends and predictors of inequality in childhood stunting in Nepal from 1996 to 2016

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    Abstract Background Although decreasing in trend, one-in-three children remain stunted in Nepal and its distribution is unequal among different socioeconomic and geographical subgroups. Thus, it is crucial to assess inequalities in stunting for designing equity focused interventions that target vulnerable groups with higher burden of stunting. This study measures trends and predictors of socioeconomic inequalities in childhood stunting in Nepal. Methods Data from five rounds (1996–2016) of Nepal Demographic and Health Survey, nationally representative cross-sectional surveys, were used. Levels and trends of absolute and relative disparity in stunting between the poorest and the richest wealth quintiles, and among all quintiles were assessed by calculating absolute and relative difference, concentration curve and index. Average marginal effects of predictors on stunting were calculated using probit regression. The concentration index was subsequently decomposed into contributing factors. Results Even though stunting consistently declined in all wealth quintiles between 1996 and 2016, reduction was relatively higher among the richer quintiles compared to poorer ones. The absolute difference between the poorest and the richest quintile increased from 24.7 in 1996 (64.5% in poorest – 39.8% in richest) to 32.7 percentage points in 2016 (49.2–16.5%). The relative disparity also increased; the ratio of stunting in the poorest to the richest quintile was 1.6 in 1996 and 3.0 in 2016. The concentration index increased (in absolute value) from − 0.078 in 1996 to − 0.147 in 2016 indicating that stunting was disproportionately concentrated in poorer households and socioeconomic inequalities worsened from 1996 to 2016. Decomposition analysis revealed that in 1996, wealth (61%), caste/ethnicity (12%), mother’s education (12%) and birth order (9%) were the major contributors to observed socioeconomic inequalities in stunting; while in 2016, wealth (72%), mother’s BMI (12%) and birth order (9%) were the major contributors. Conclusions Despite remarkable improvements in average stunting over the last two decades, substantial socioeconomic inequalities in stunting exists and is determined not only by immediate factors but also by underlying and contextual factors which emphasize the need for coherent actions across different sectors. In addition to reducing inequalities in wealth, nutrition programming should be focused on most disadvantaged subgroups which are prone to both stunting and relative poverty
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