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20213
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Author: Manish Kumar × Start date: 2020 × Type: Thesis ×
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    ThesisItemOpen Access
    Clinical and radiographic study on surgical management of distal diaphyseal fracture in long bones by end threaded positive profile intramedullary pins and titanium elastic nails in dogs
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-08) Manish Kumar; Kandpal, Manjul
    The present study was conducted on 12 clinical cases of dogs of either sex with distal diaphyseal long bone fractures. The animals were randomly divided into two groups having equal numbers viz. Group A in which the fracture was stabilized with End threaded positive profile intramedullary pins and Group B by Titanium elastic nails. Diagnosis of the distal diaphyseal fracture done by preoperative clinical evaluation and radiography. Various parameters like clinic-physiological parameters like rectal temperature, heart rate, respiration rate, inflammation, pain score, lameness and weight bearing score, Haematobiochemical parameters like Hb, TEC, TLC,DLC & ALP were recorded in all the animals at various time interval. Clinico-physiological parameters did not show any significant difference between the both groups and were fluctuating within normal physiological range. Intra operative observation like duration of surgery, radiation exposure time, extent of manipulation and soft tissue damage, degree of technical difficulties, status of fracture reduction and fracture fixation was also recorded. The mean duration of surgery and intraoperative radiation exposure time significantly less in Group A compare to Group B. Lameness score was significantly less in group B compare to group A. The weight bearing score was significantly more in Group B as compare to Group A. Post-operative radiograph revealed intact implants with evidence of significant bridging callus and better radiographic healing grade in Group B as compare to Group A. Functional outcome score was significantly more in Group B as compare to Group A. The post-operative complication comprised of loosening and distal migration of pin in one case of Group A. The haematobiochemical parameters were within the physiological range and change in the mean values between the groups were statistically non-significant. For the physiological and anatomical repair of the fracture site, the titanium elastic nailing was found to be superior method than End threaded positive profile intramedullary pinning.Titanium elastic nailing resulted in early weight bearing and limb use along with better ability to withstand the stresses of weight bearing.
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    ThesisItemOpen Access
    Stage-discharge sediment modelling using soft computing techniques and prioritization of sub-watersheds of Ghatshila watershed
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-02) Manish Kumar; Pravendra Kumar
    Soil and water resources conservation are primary aspect for sustainable development of agricultural production. In this study, soft computing techniques like artificial neural network (ANN), support vector machine (SVM), wavelet based artificial neural network (WANN), wavelet based support vector machine (WSVM) and multilinear regression (MLR) were used for stage-discharge-sediment modelling. The stage, discharge and suspended sediment concentration (SSC) data of 10 years duration (2004-2013) was used for prediction of present day SSC for three sites namely, Adityapur, Jamshedpur and Ghatshila sites of Ghatshila watershed. Gamma test was used to select the best input combination for the development of models. Multilayer perceptron was used for ANN and WANN techniques while linear and radial kernel function were used for SVM and WSVM techniques. The results showed that the WSVM-LF model was found to be the best among all developed models for Adityapur and Ghatshila site while SVM-RF model was found to be the best for Jamshedpur site. Further, prioritization of the sub-watershed based on principal component analysis (PCA) was carried out for Ghatshila watershed. The morphometric analysis of twenty five sub-watersheds of Ghatshila watershed was done based on information obtained from drainage map extracted using remote sensing data and GIS tool. Based on PCA, four principal components namely, texture ratio (T), drainage density (Dd), circulatory ratio (Rc) and stream frequency (Fs) were identified for prioritization. Based on compound factor, SW-15 sub-watershed assigned with rank 1 priority whereas SW-22 sub-watersheds was assigned with rank 25. Therefore, SW-15 sub-watershed can be treated with suitable conservation measures.
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    ThesisItemOpen Access
    Stage-discharge sediment modelling using soft computing techniques and prioritization of sub-watersheds of Ghatshila watershed
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-02) Manish Kumar; Pravendra Kumar
    Soil and water resources conservation are primary aspect for sustainable development of agricultural production. In this study, soft computing techniques like artificial neural network (ANN), support vector machine (SVM), wavelet based artificial neural network (WANN), wavelet based support vector machine (WSVM) and multilinear regression (MLR) were used for stage-discharge-sediment modelling. The stage, discharge and suspended sediment concentration (SSC) data of 10 years duration (2004-2013) was used for prediction of present day SSC for three sites namely, Adityapur, Jamshedpur and Ghatshila sites of Ghatshila watershed. Gamma test was used to select the best input combination for the development of models. Multilayer perceptron was used for ANN and WANN techniques while linear and radial kernel function were used for SVM and WSVM techniques. The results showed that the WSVM-LF model was found to be the best among all developed models for Adityapur and Ghatshila site while SVM-RF model was found to be the best for Jamshedpur site. Further, prioritization of the sub-watershed based on principal component analysis (PCA) was carried out for Ghatshila watershed. The morphometric analysis of twenty five sub-watersheds of Ghatshila watershed was done based on information obtained from drainage map extracted using remote sensing data and GIS tool. Based on PCA, four principal components namely, texture ratio (T), drainage density (Dd), circulatory ratio (Rc) and stream frequency (Fs) were identified for prioritization. Based on compound factor, SW-15 sub-watershed assigned with rank 1 priority whereas SW-22 sub-watersheds was assigned with rank 25. Therefore, SW-15 sub-watershed can be treated with suitable conservation measures.