Challenges in the inclusion of people with disability in Nepalese society : an empirical study of the experience of social inclusion of people with disability

Masteroppgave i comparative social work - Universitetet i Nordland, 2015Sperra for utlån til 2018-06-2

Space, Government Payments, and Off-Farm Labor Response of Principal Farm Operators: A County-Level Analysis

We examine the effects of space and government payments on off-farm employment among principal farm operators for the entire US as well as for ERS/USDA farm resource regions. Spatial dependency in off-farm employment of principal farm operators in the U.S. overall is evident; however, this is not the case for all farm resource regions. While the effects of government payments overall are significant for the U.S., important variations exist by farm program type and across ERS/USDA regions.government payments, off-farm employment, off-farm labor supply, spatial dependence, ERS regions, Farm Management,

THE PROSPECTS OF AGRICULTURAL ADAPTATION TO CLIMATE CHANGE: CLIMATE-TECHNOLOGY INTERACTION IN RICE -WHEAT CROPPING SYSTEM IN NEPAL

We use panel data from Nepal to examine the effect of climate in inducing technology to understand potential agricultural adaptation to climate change in rice and wheat crops. We find different degree of climate-technology interaction in the productivity of two crops.Crop Production/Industries,

Maternal Human Capital and Childhood Stunting In Nepal: A Multi-Level Modeling Approach

Childhood stunting among preschool-age children stands as a serious public health problem to be addressed in Nepal. Applying the multi-level modeling approach to nationally representative data, in the overall, we provide evidence that the negative influence of maternal own education to childhood stunting occurs especially for mother's higher level of education, but there exists substantial residential variations. Most interestingly, we provide new evidence of a strong negative community externality of maternal education on childhood stunting, even if mothers of children are uneducated. We also find mother's height is negatively related to childhood stunting, regardless of mother's educational attainment and place of residence, providing evidence of intergenerational transmission of maternal health.Health Economics and Policy, Labor and Human Capital,

Efficacy of Yale observation scale to detect serious bacterial infection in febrile children aged one to 36 months

Introductions: In most children aged 1-36 months, the cause of a febrile illnessis a self limiting viral infection. It is very difficult to distinguish these fromserious bacterial infection. Objective of this study is to assess the efficacy ofthe Yale Observation Scale (YOS) to detect serious bacterial infection in febrilechildren aged 1-36 months.Methods: YOS scores were assigned as a part of a cross- sectional study in100 children presenting in Tribhuvan University teaching hospital with fever todivide the child into well- looking if YOS ≤10 or ill- looking if YOS >10. Then the history, examination and necessary investigation was performed to come to a diagnosis of non- serious illness and serious bacterial infection.Results: Serious bacterial infection was found in 33(33%) of the patients. Thesensitivity, specificity, positive and negative predictive values for a YOS scoregreater than 10 to detect serious bacterial infection were 45.45%, 88.05%%,65.21% and 76.62%, respectively.Conclusions: A YOS ≤10 predicts non-serious illness while a YOS>10 does notnecessarily indicate serious bacterial infection and should undergo furtherevaluation to confirm serious bacterial infection.Keywords: febrile children, serious bacterial infection, yale observation scal

Evaluation of common bean (Phaseolous vulgaris L.) genotypes against anthracnose (Colletotrichum lindemuthianum Sacc. and Magn.)

Saabunud / Received 21.10.2021 ; Aktsepteeritud / Accepted 27.12.2021 ; Avaldatud veebis / Published online 27.12.2021 ; Vastutav autor / Corresponding author: Sujata K.C. [email protected] genotypes of common bean were evaluated against anthracnose under natural epiphytotic conditions. This study was carried out in a randomized complete block design with three replications at the research field of Agriculture Research Station (ARS), Vijaynagar, Jumla, Nepal from June to September 2018. The area under the disease progress curve (AUDPC) and disease severity were calculated. In laboratory conditions, artificial inoculation was carried out on detached leaves of twelve genotypes using a pure culture suspension of Colletotrichum lindemuthianum (1.2× 106 conidia ml–1) in a completely randomized design with three replications. The results showed that bean genotypes varied significantly for disease severity both in the field and laboratory conditions. In the field, bean genotypes showed resistance to highly susceptible reactions. Their AUDPC value ranged from 120.55 to 502.31. The lowest mean AUDPC value was recorded in KBL-1 (120.55) followed by KBL-3 (123.79) and KBL-2 (124.44). Similarly, the lowest severity value was recorded with KBL-1 (0.51), KBL-2 (0.52) and KBL-3 (0.53). Detached leaf assay in laboratory experiment showed that the lowest mean AUDPC was found in KBL-2 (16.67) and KBL-3 (16.67). Therefore, KBL-2 and KBL-3 could be utilized as resistant varieties to anthracnose disease under Jumla and similar field conditions

Wheel-Rail Interface Condition Estimation (W-RICE)

The surface roughness between the wheel and rail has a huge influence on rolling noise level. The presence of the third body such as frost or grease at wheel-rail interface contributes towards change in adhesion coefficient resulting in the generation of noise at various levels. Therefore, it is possible to estimate adhesion conditions between the wheel and rail from the analysis of noise patterns originating from wheel-rail interaction. In this study, a new approach to estimate adhesion condition is proposed which takes rolling noise as input.Comment: 8 pages, 3 figures, JRC2020 conferenc

Style Transfer to Calvin and Hobbes comics using Stable Diffusion

This project report summarizes our journey to perform stable diffusion fine-tuning on a dataset containing Calvin and Hobbes comics. The purpose is to convert any given input image into the comic style of Calvin and Hobbes, essentially performing style transfer. We train stable-diffusion-v1.5 using Low Rank Adaptation (LoRA) to efficiently speed up the fine-tuning process. The diffusion itself is handled by a Variational Autoencoder (VAE), which is a U-net. Our results were visually appealing for the amount of training time and the quality of input data that went into training.Comment: Project report for ECE 371Q Digital Image Processing at UT Austi