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Traditional visible light target detection is usually applied in scenes with good visibility, while the advantage of infrared target detection is that it can detect targets at nighttime and in harsh weather, thus being able to be applied to ship detection in complex sea conditions all day long. However, in coastal areas where the density of ships is high and there is a significant difference in target scale, this can lead to missed detection of some dense and small targets. To address this issue, this paper proposes an improved detection model based on YOLOv5s. Firstly, this article designs a feature fusion module based on a fusion attention mechanism to enhance the feature fusion of the network and introduces SPD-Conv to improve the detection accuracy of small targets and low-resolution images. Secondly, by introducing Soft-NMS, the detection accuracy is improved while also addressing the issue of missed detections in dense occlusion situations. Finally, the improved algorithm in this article increased mAP0.5 by 1%, mAP0.75 by 5.7%, and mAP0.5:0.95 by 5% on the infrared ship dataset. A large number of comparative experiments have shown that the improved algorithm in this article is effective at improving detection capabilities. [ABSTRACT FROM AUTHOR]

Water conservation represents a typical green behavior and a sustainable lifestyle. Understanding residents' water conservation behaviors is a prerequisite for promoting more water savers. Using the snowball sampling technique, this study conducted a survey on a sample of 532 Chinese residents to investigate their water conservation behavior, i.e., reusing water in daily life. This study aims for examining psychological and knowledge factors on residents' water conservation behavior in China using binary logistic regression. Results show that over half of the respondents (54%) have the habit of reusing water in their daily lives. Residents with stronger environmental concern and higher level of environmental knowledge are more likely to exhibit household water conservation in China. Additionally, environmental knowledge plays a positive moderating role in the relationship between environmental concern and water conservation behavior. Environmental knowledge serves as a catalyzer that facilitates the transformation from residents' environmental concern into real water conservation behavior. Among the demographic variables, only income exerts significantly negative effect on residents' water conservation behavior, and other variables (e.g., age and gender) fail to exert any influence on this behavior. This study contributes to the literature on environmental psychology and concludes with implications for water resource management. [ABSTRACT FROM AUTHOR]