Henry's constants for different existing compounds in water have great importance in transfer calculations. Measurement of these constants face different difficulties including high costs of experiment and low accuracy of measurement apparatus. Due to these facts, proposing a low cost and accurate approach becomes highlighted. To this end, adaptive neuro-fuzzy inference system (ANFIS) and least squares support vector machine (LSSVM) have been used as Henry's constant predictor tools. The molecular structure of compounds has been used as inputs of models. After training the models, the visual and mathematical studies of outputs have been done. The coefficients of determination of LSSVM and ANFIS algorithms are 0.999 and 0.990 respectively. According to the comprehensiveness of databank and accurate prediction of algorithms, it can be concluded that LSSVM and ANFIS algorithms are accurate methods for prediction of Henry's constant in wide range of chemical structure of compounds in water.
Nowadays, more and more people prefer to use online fitness app rather than go to fitness room, when they want fitness. As the product of a combination between the technology industry and the fitness industry, the online fitness app is changing people's fitness habits from the traditional way. Other researchers focus on the effect of online fitness app on users fitness habits and drivers. However, from the perspective of investors, this research adopted the People, Opportunity, Context, and Deal (POCD) framework, which is often used on the analysis of venture investment, to study if the online fitness app in China is worth investing in and using Keep company as an example to complete the research. There are many opportunities in the online fitness industry like the convinence of application, more and more people want to start fitness, and the effect of COVID-19, but people and context are competitive disadvantages in Keep company like top managers without enough experience. The conclusion is that there are some issues in the company's business model. The customer retention rate is low, and the company earns less money than its expenditure on the advertisement. Based on these reasons, the company is not worth to be invested now. It also reflects that there are some issues in this new industry, investing it should be consideration careful.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.