A rare case report on ethambutol induced optic neuritis

Ethambutol (EMB) is one of the first-line drugs in the treatment of tuberculosis. EMB induced ocular toxicity is a rare side-effect that observed as either dose or duration related effect and reversible on therapy discontinuation. We report a rare case of EMB-induced optic neuritis, even though the dose and duration are not related to it. After withdrawal of the drug, we observed there is a recovery and mapping of the central visual field showed only slight enlargement of the blind spot in the right eye. If there is no vision improvement, but ocular toxicity is not severe, isoniazid should also be stopped

EFFECTS OF HOME EXERCISE PROGRAMME ON SHOULDER PAIN AND FUNCTIONAL STATUS IN MALE CONSTRUCTION WORKERS

Objective: To evaluate the effect of home exercise program on shoulder pain and functional status in male construction workers.Methods: Study design was quasi-experimental study, subjects were 30 male construction workers, n=15 Group A (experimental) and n=15 Group B (control). Subjects in the experimental group were instructed in a 6 weeks home exercise program, Group B subjects were treated with only ergonomic advices. The outcome measurements were visual analog scale and shoulder pain and disability index.Results: The results of this study showed that significant reduction in pain and improvement in the functional status of construction workers in Group A than Group B.Conclusion: The study concluded that there was a significant reduction in shoulder pain and improvement in functional status by home exercise program than ergonomic advices in male construction workers

A STUDY ON CONSUMER AWARENESS AND PERCEPTIONS TOWARDS ORGANIC FOOD PRODUCTS WITH SPECIAL REFERENCE TO COIMBATORE DISTRICT

Dr. D. Divya Prabha, “A Study on Consumer Awareness and Perceptions towards Organic Food Products with Special Reference to Coimbatore District”, International Journal of Current Research and Modern Education, Volume 2, Issue 2, Page Number 217-222, 2017

Boosting Principal Component Analysis by Genetic Algorithm

This paper presents a new method of feature extraction by combining principal component analysis and genetic algorithm. Use of multiple pre-processors in combination with principal component analysis generates alternate feature spaces for data representation. The present method works out the fusion of these multiple spaces to create higher dimensionality feature vectors. The fused feature vectors are given chromosome representation by taking feature components to be genes. Then these feature vectors are allowed to undergo genetic evolution individually. For genetic algorithm, initial population is created by calculating probability distance matrix, and by applying a probability distance metric such that all the genes which lie farther than a defined threshold are tripped to zero. The genetic evolution of fused feature vector brings out most significant feature components (genes) as survivours. A measure of significance is adapted on the basis of frequency of occurrence of the surviving genes in the current population. Finally, the feature vector is obtained by weighting the original feature components in proportion to their significance. The present algorithm is validated in combination with a neural network classifier based on error backpropagation algorithm, and by analysing a number of benchmark datasets available in the open sources.Defence Science Journal, 2010, 60(4), pp.392-398, DOI:http://dx.doi.org/10.14429/dsj.60.49

A META CLUSTERING APPROACH FOR ENSEMBLE PROBLEM

A critical problem in cluster ensemble research is how to combine multiple clustering to yield a superior clustering result. Leveraging advanced graph partitioning techniques, we solve this problem by reducing it to a graph partitioning problem. We introduce a new reduction method that constructs a bipartite graph from a given cluster ensemble. The resulting graph models both instances and clusters of the ensemble simultaneously as vertices in the graph. Our approach retains all of the information provided by a given ensemble, allowing the similarity among instances and the similarity among clusters to be considered collectively in forming the clustering. Further, the resulting graph partitioning problem can be solved efficiently. We empirically evaluate the proposed approach against two commonly used graph formulations and show that it is more robust and achieves comparable or better performance in comparison to its competitors

A REVIEW ON SUPRAMOLECULAR CHEMISTRY IN DRUG DESIGN AND FORMULATION RESEARCH

Supramolecular chemistry, other way called as intermolecular chemistry disclose the relationship of molecules with environment. It exploits while exposing the physicochemical phenomina that happens when two like or unlike molecules/ions/systems contact each other. Drug action involve the target recognition process and response triggered by the intermolecular complex of drug and target. Drug design therefore require in depth study of intermolecular forces that exist between drug and target. Formulation of the drug or Active Pharmaceutical Ingredient (API) is also regulated by these forces. Compatibility and incompatibility in formulations are nothing but of the effect of the intermolecular forces on physical behavior of systems. Therefore review of intermolecular chemistry in general and its role particularly in pharmaceutical research is presented here for the benefit of the students and research scholars who aspire to work on interdisciplinary projects in the field of pharmacy. Key words: intermolecular forces, hydrogen bond, drug design, active pharmaceutical ingredient (API), crystal