Total motile sperm count and DNA fragmentation Index are two parameters in sperm analysis that have recently been used to determine the outcome of the management of cases of male infertility. Total Motile Sperm Count is one of the values considered better than the 2010 World Health Organization standard sperm analysis in terms of predictive value for the success of the spontaneous ongoing pregnancy rate. High DNA Fragmentation Index values were associated with lower pregnancy success and an increased risk of low fertilization rate or total fertilization failure. In this study, we developed a method to classify sperm analysis based on total motility sperm count and DNA Fragmentation Index values by using an electronic nose. In the total motility sperm count (TMSC) study, we use four algorithms with the result of accuracy values 95% and in the DNA fragmentation Index study, we get a fairly good accuracy value for two algorithms with the accuracy values 70%.
The prevalence of varicocele is estimated to be around 15-20% of the male population, and of these, about 35-40% are patients requiring infertility treatment. A varicocele is a dilation of the veins in the spermatic cord diagnosed by physical examination of the male genital area and assisted by scrotal ultrasound. The development of electronic nose technology provides an opportunity to detect disease characteristics of volatile organic compounds produced by biological materials. This study aims to utilize the metabolomic gas produced from the odor of the seminal fluid by using an electronic nose. The identification of the pattern of volatile organic compounds formed was labeled as unilateral varicocele, bilateral varicocele and clinical non varicocele as the basis for classification with supervised machine learning. In this study, the accuracy values were quite good for several algorithms, both in training accuracy and testing accuracy with an average accuracy value above 80%.
Demographic bonus is a condition when productive force is more than non-productive force. The COVID-19 pandemic in Indonesia has affected many areas, including Sleman Regency, DIY. The purpose of this study was to determine the effect of COVID-19 on demographic bonus and the steps to maximize the demographic bonus to improve the development of Sleman Regency. The method used is population data collection for 2016-2020 from Badan Pusat Statistik of Sleman Regency and quantitative descriptive analysis based on trends in population statistics. This study found that the dependency ratio increased in 2019, followed by a significant decline in 2020. It was because the number of the productive population declined drastically in 2019 (114,276 people) and increased again in 2020 (85,854 people). The number of heads of poor families and the poor increased during the COVID-19 pandemic in 2019-2020 because many formal-informal sectors weren’t running due to government policies. It can be concluded that the demographic bonus of Sleman Regency isn’t affected by COVID-19 from the population structure point of view. Utilization of the demographic bonus can be done by increasing soft skills and hard skills to compete competitively and increasing the number of jobs.
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