Earticle

In today’s modern world, the number of obese people increases drastically than in the past. Among other things, strength training plays a big role in preventing and managing obesity. Mobile fitness systems can be used to analyze obesity in a data sharing mechanism. Algorithms can recommend exercise equipment based on the user's BMI and provide previous users historical data as reference. It will also show caloric values exhausted through outdoors exercise for strength training that is currently being used. Accordingly, in this paper, Recommend the exercise equipment according to the user's BMI (Body Mass Index) indices, and the exercise equipment other users who have used that is a member of the BMI group, such as a user Divide to group users based on the data-sharing mechanism to inform the user the mobile Fitness system was developed. Data sharing mechanism allows providing a generalized data using inductive reasoning method to solve the problem of the absence of an existing system, the service data, and fitness exercise equipment Recommend.

PLA and PLGA have been extensively used for controlled drug delivery and used to fabricate device for tissue engineering. The objective of the present study was to know the effect of different molecular weight of PLLA and PLLGA. PLLA and PLLGA membrane was prepared using a solvent-casting method. In vitro degradation of the blank membrane was characterized by techniques including NMR, SEM, BET. And examined the degradation of PLA-PGA copolymer at different temperature range. The lower molecular weight, the more porosity and the smaller pore size. The degradation ratio of membrane increased with increasing test temperature.

Diabetic Retinopathy (DR) is a disease that creates some changes in the retinal blood vessels. Blood vessels leaks fats or lipids in the yellowish color which is a cause of blindness and the aggregate yellowish color fat or lipid on the eye is known as exudates. In order to help the ophthalmologists for accurate detection of exudates hybrid CS-ACO is applied on the online dataset HEI-MED consists 169 images. Hybrid approach works in three steps first hybrid CS-ACO is performed to enhance the image second DWT is used to reduce the time elapsed in image enhancement and finally ACO is used for the detection of exudates. The performance of CS-ACO is better than ACO in the detection of exudates. The proposed model has attained mean values of 99.6%, 98.7% and 98.6% for sensitivity, specificity and accuracy respectively on online database.

This study was done to develop an education program for reproductive health management of unmarried women over 35. In order to investigate the education demand of the subjects, documentation research and learner analysis were conducted to develop an education program, and Delphi investigation was conducted against 7 experts. Through the web-based reproductive health management program for unmarried women over age 35 developed in this study, the knowledge on reproductive health can be enhanced and a positive attitude can be cultivated, so as to increase health activity practice rate.