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2065107
A new method for predicting wind-driven rain catch ratios on building facades in urban residential areas using machine learning models
The distribution of wind-driven rain on building facades significantly affects their thermal performance and durability. Accurately and efficiently predicting the wind-driven rain catch ratio on wall surfaces is crucial for building performance evaluation. This study proposes a novel computational approach to rapidly predict the wind-driven rain catch ratio on urban building facades. A predictive model was developed using extensive numerical simulations combined with machine learning algorithms. Specifically, the model replaces traditional numerical simulations by learning the influence of wind field characteristics and building geometry on raindrop catch ratios across different sizes. The research results indicate that the machine learning models can effectively substitute conventional simulation methods for wind-driven rain predictions. Notably, the Artificial Neural Network model achieved a prediction accuracy comparable to numerical simulations (RMSE: 0.009, MAE: 0.006) while being over 300 times faster. The inlet wind speed at roof height emerged as the most influential feature, and the model exhibited strong generalization performance across varying wind directions. This method is simple, efficient, and well-suited to support wind-driven rain analysis, experimental measurements, and urban energy consumption studies in residential building contexts.
Knowledge and awareness of human papillomavirus (HPV) influence HPV vaccination uptake among the catch-up generation in Japan
Introduction Despite its importance for young women, the human papillomavirus (HPV) vaccination coverage remains low in Japan. Previous studies have examined behaviors related to HPV catch-up vaccination. Uniquely, this study aimed to investigate perceptions and factors influencing vaccination coverage among female university students in the catch-up program, focusing on both medical and non-medical undergraduates.Methods A web-based survey was conducted at Kochi University from January 16 to February 13, 2023, targeting female students born between April 2, 1997, and April 1, 2006. The survey collected demographic data and assessed knowledge of HPV infection, cervical cancer, and preventive measures. Chi-square tests and logistic regression analyses were used to identify differences between vaccinated and unvaccinated groups as well as factors related to HPV vaccination.Results Of the 310 participants, 39.0 % were vaccinated against HPV, 35.2 % were freshmen, and 75.2 % were in medical science programs. HPV vaccination was significantly associated with being in upper years of university (OR = 3.78–42.83), studying medical sciences (OR = 1.93), undergoing cervical cancer screening (OR = 4.04), and receiving free vaccination vouchers (OR = 2.03).Conclusion Knowledge and awareness of HPV and cervical cancer significantly contribute to higher vaccination uptake in the generation receiving catch-up vaccinations. Tailoring information and distributing free vaccination vouchers could enhance HPV vaccination rates and awareness in this group.
Using species-specific behavior to improve catch efficiency of target species in mixed trawl fisheries
Demersal trawl fisheries are increasingly challenged by new and more ambitious gear regulations alongside rising fuel costs. However, knowledge of behavioral differences between species are yet poorly integrated and exploited in commercially operated trawl designs. In the demersal mixed species trawl fishery for Nephrops (Nephrops norvegicus), many fish species are herded by the netting and actively avoid contact with the meshes as opposed to Nephrops, for which most individuals are tumbling along the bottom panel of the gear towards the codend. By reducing the mesh size of the entire lower half of the trawl we reduced the loss of marketable sized Nephrops through the bottom panels significantly by 47.2 % (CI: 33.6–60.2 %) in the North Sea. The unchanged catches of the round fish, cod (Gadus morhua) and hake (Merluccius merluccius) confirm that these species do not come in physical contact with the bottom panel. In contrast, witch flounder (Glyptocephalus cynoglossus) escapes through the bottom panel of the baseline trawl as the treatment gear caught 65.1 % (CI: 39.5–104.9 %) more marketable-sized individuals and 259.7 % (CI: 144.4–459.5 %) more undersized individuals. Our results confirm known species-specific behavior in the forward part of the trawl and demonstrate how this can be exploited with simple design changes to increase the catch efficiency for Nephrops and likely other species without affecting the catches of roundfish. The undersized individuals captured will largely escape through the meshes used in commercial codends.