FORMULATION AND EVALUATION OF BUOYANT TABLETS OF KETOCONAZOLE

Objective: The primary objective of the present work was to formulate the gastro-retentive delivery system of ketoconazole (ktz) for its extensive absorption in the stomach. Methods: The solubility and dissolution of antifungal ktz were reported to be higher in the stomach than in the intestinal pH conditions because of its dibasic pKa values 6.51 and 2.94. Thus the development of target buoyant tablets using Hydroxy Propyl Cellulose (HPC) and Xanthan gum (Xg) as polymers along with the effect of citric acid and sodium bicarbonate as an effervescent causing agent of floatation properties and drug release profile was investigated. The formulation optimization was carried out by using a central composite design using Design Expert software by taking HPC, Xanthan gum and sodium bicarbonate as independent variables and floating lag time, in vitro drug release profile as dependent variables respectively. Results: The optimized formulation of ktz buoyant tablets could be developed. The amount of HPC and Xg was found to significantly influence all in vitro response parameters. The results of pre-compression and post-compression parameters of all the formulations were found to be within the standard limits. The optimized formulation exhibited floating lag time of 160 secs with sustained drug release over a period of 12 h in simulated stomach pH condition. Conclusion: Buoyant tablets of ktz with sustained drug release over a period of 12 h in simulated stomach conditions for enhanced drug absorption could be successfully developed

Functional outcome of mild and moderate residual varus in posterior stabilized total knee arthroplasty in primary osteoarthritis knee: a prospective study

Background: Total knee arthroplasty (TKA) is one of the most commonly done orthopaedic surgical procedures for treating severe arthritis of the knee joint caused by osteoarthritis or inflammatory arthritis. The current clinical investigation, done at the Sanjay Gandhi Institute of Trauma and Orthopaedics in Bengaluru, provided the short-term functional result of mild and moderate residual varus in posterior stabilized TKA. The aim was to evaluate the efficacy of mild and moderate residual varus in total knee replacement for primary OA knee in terms of pain relief, range of motion and stability of the joint. Methods: 30 total knee replacements were performed. All patients were examined pre- and post-operatively using the knee society clinical and functional score. The average pre-op KSS knee score was 38.7, with a functional score of 23.3. The most common reason for TKR was osteoarthritis. The follow-up time ranged from 6 to 12 months.Results: By the knee society clinical, functional score method, 96.6% of our patients received an outstanding assessment after scoring 80 points or higher. The mean post-operative KSS knee score is 86.57, and the knee society functional score is 92. 92% of patients had little/no pain after surgery, and walking ability increased and was unlimited in 80% of patients.Conclusions: After a short term follow up of 1 year in a research population of 30 with pre-operative osteo arthritis of the knee, with post-operative mild to moderate varus alignment showed better clinical results

A prospective comparative study of functional outcome of distal extra articular tibia fracture fixed with intramedullary nail versus locking compression plate

Background: Distal tibia fractures are one of the most common long bone fractures and their management presents with a series of problems due to the soft tissue surroundings and even more at risk due to their proximity to ankle joint. In our paper we showed functional outcome of distal extra articular tibia fracture while comparing its management between intramedullary nailing and locking compression plate.Methods: There were 40 patients from November 2019 to November 2020 with distal extra articular tibia fracture. Patients were divided into 2 groups, first group included 20 patients managed with intramedullary nail and the second group included 20 patients managed with locking compression plate. Patients were followed preoperatively, intraoperatively and postoperatively for functional outcome and assessed clinically using AOFAS score and radiologically using X-ray.Results: Out of the 40 cases treated in this manner, all cases were available for the follow up for a period of 1 year. Overall results by 1 year follow up showed excellent in 7 cases (35%) good in 13 cases (65%) in nailing group and in plating group showed excellent in 4 cases (20%), good in 12 cases (60%), fair in 3 cases (15%) and poor in 1 case (5%).Conclusions: All fractures united well. Complications were encountered in 4 patients, 2 patients had superficial wound infections,1 patient had deep infection and another had persistent ankle pain in plating group and 2 patients had superficial wound infection in nailing group. No cases showed malunion or nonunion in both plating as well as nailing group

A Geometric Variational Approach to Bayesian Inference

We propose a novel Riemannian geometric framework for variational inference in Bayesian models based on the nonparametric Fisher-Rao metric on the manifold of probability density functions. Under the square-root density representation, the manifold can be identified with the positive orthant of the unit hypersphere in L2, and the Fisher-Rao metric reduces to the standard L2 metric. Exploiting such a Riemannian structure, we formulate the task of approximating the posterior distribution as a variational problem on the hypersphere based on the alpha-divergence. This provides a tighter lower bound on the marginal distribution when compared to, and a corresponding upper bound unavailable with, approaches based on the Kullback-Leibler divergence. We propose a novel gradient-based algorithm for the variational problem based on Frechet derivative operators motivated by the geometry of the Hilbert sphere, and examine its properties. Through simulations and real-data applications, we demonstrate the utility of the proposed geometric framework and algorithm on several Bayesian models

Balancing Minimum Spanning and Shortest Path Trees

This paper give a simple linear-time algorithm that, given a weighted digraph, finds a spanning tree that simultaneously approximates a shortest-path tree and a minimum spanning tree. The algorithm provides a continuous trade-off: given the two trees and epsilon > 0, the algorithm returns a spanning tree in which the distance between any vertex and the root of the shortest-path tree is at most 1+epsilon times the shortest-path distance, and yet the total weight of the tree is at most 1+2/epsilon times the weight of a minimum spanning tree. This is the best tradeoff possible. The paper also describes a fast parallel implementation.Comment: conference version: ACM-SIAM Symposium on Discrete Algorithms (1993

Fuzzy Optimised Power Generation from Moving Vehicles

Abstract In our Paper regenerative power system for electric motorcycles and cars that performs regenerative energy recovery from the axle of the vehicle based on fuzzy logic control for a boost converter is used to boost (maintain) the voltage level. Autonomous vehicles have potential applications in many fields, such as replacing humans in hazardous environments, conducting military missions, and performing routine tasks for industry. A constant regenerative current control scheme is proposed, thereby providing improved performance and high energy recovery efficiency at minimum cost. Drivers typically respond quickly to sudden changes in their environment. While other control techniques may be used to control a vehicle, fuzzy logic has certain advantages in this area; one of them is its ability to incorporate human knowledge and experience, via language, into relationships among the given quantities