Genetic algorithm-based optimal repertoire selection for music therapy on therapeutic effects

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract In recent years, music therapy has gradually become an adjunct to conventional medicine and drug therapy. this paper, genetic algorithms are used in therapy, they also optimize the combination of repertoire The mining model based on improved algorithm is constructed, optimized search carried out with mine most effective therapeutic for patients. Based recommendation degree analysis, personalized recommended customized according specific conditions effect paper’s optimization by examined through comparative experiments from changes effects experimental control groups before after experiments. Before experiment, not identical. After group was greatly improved, while remained basically unchanged, total score two differed 50.09 points, showed significant differences all dimensions effect. received improvement 4-8 points each dimension treatment no more than 0.5 points. Both inter- intra-group were statistically significant.

Language: Английский

Investigating the asymmetric impact of tourism, green fiscal policy, and fintech on environmental emissions and coastal water quality: an empirical study using the method of moments quantile regression

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 7, 2025

Introduction The factors that significantly and negatively impact carbon dioxide (CO 2 ) emissions coastal water quality (CWQ) must be continuously monitored thoroughly evaluated. Among these, tourism (TR) volume stands out as one of the primary contributors to such effects. In contrast, green fiscal policy (GFP) fintech (FT) can considered proactive modern efforts contributing improvement these environmental indicators. Exploring whether impacts exhibit uniformity across quantiles will greatly benefit strategic solutions aimed at avoiding resource waste. Methods This paper aims calibrate procedures apply method moment quantile regression (MMQR) model address this issue. Firstly, cross-sectional dependence (CSD) among variables is examined. Next, a stable long-term relationship between assessed using stationarity analysis. Finally, MMQR estimation conducted investigate independent on CWQ CO different quantiles. Results results from both fixed effects (FE-OLS) dynamic ordinary least squares (D-OLS) models reveal significant correlations regressors response variables. research findings indicate GFP FT exert improving reducing . favorable growth TR sector contributes Discussion recommends government increase spending investment in projects utilizing renewable energy, transportation, blockchain technology, advanced techniques. It also advocates for approach controlling TR, focusing enhanced waste management, order improve indicators most

Language: Английский

Optimizing novel thermal energy storage systems: Enhancing melting efficiency with tubes, stands, and advanced machine learning techniques

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 124, P. 116908 - 116908

Published: May 8, 2025

Language: Английский