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Facial features are important sources of information about perceived trustworthiness. Masks and protective clothing diminish the visibility of facial cues by either partially concealing the mouth and nose or covering the entire face. During the pandemic, the use of personal protective equipment affected and redefined who trusts whom in society. This study used the classical investment game of interpersonal trust with Chinese participants to explore the impact of occlusion on interpersonal trust. Faces with moderate initial trustworthiness were occluded by a mask or protective clothing in Experiment 1 and were digitally occluded by a square in Experiment 2, and faces with three levels of initial trustworthiness were occluded by a mask in Experiment 3. Results showed that both undergraduates (Experiment 1a) and non-student adults (Experiment 1b) perceived the faces with protective clothing as more trustworthy than faces wearing standard masks and faces not wearing masks. Faces with the top halves showing were perceived as trustworthy as full faces, while faces with the bottom halves showing were perceived as less trustworthy. The effect of masks is weak and complex. Masks reduced participants' trust in faces with high initial trustworthiness, had no effect on faces with low and moderate initial trustworthiness, and only slightly increased the trust of undergraduates in faces with moderate initial trustworthiness. Our findings indicate that the lack of information caused by occlusion and the social significance associated with occlusion collectively affect people's trust behavior in Chinese society. We believe the findings of this study will be useful in elucidating the effects of personal protective equipment usage on perceptions of trustworthiness.

In the pivotal water resource region of the Yellow River Basin in China, precise prediction of water resources is essential for their effective and rational management. This study introduces a novel approach to water resource prediction by employing the Harris Hawks Optimization-Long Short-Term Memory (HHO-LSTM) model. This method overcomes the constraints faced by traditional techniques in processing time series data and various variable factors. It encompasses a comprehensive description of the multi-source hydrological data collection process within the Yellow River Basin, followed by meticulous data preprocessing. The data set for this study includes estimates of four critical water quality parameters, and the efficacy of the model is gauged through the mean squared error (MSE) and root mean squared error (RMSE) metrics. This facilitates the projection of future water quality trends in specific areas by leveraging historical water quality data. The HHO-LSTM model has demonstrated outstanding accuracy and robustness in predicting water quality across diverse temporal scales and water resource variables, marking a significant advancement in water resource management within the Yellow River Basin. This approach not only enhances current management strategies but also contributes valuable insights for ongoing water resource research and decision-making processes. [ABSTRACT FROM AUTHOR]

Soil wind erosion is one of the critical drivers of land degradation in the black soil region of northeastern China. In this study, 137Cs background value and soil wind erosion rate was studied by using 137Cs nuclide tracing technique in the black soil region of northeastern China, and wind erosion characteristics such as background value and soil erosion rate over the years were clarified, which has guiding significance for soil and water conservation and agricultural sustainable development in the black soil region of northeast China. The mean area activity of the Hilltop area was 1541 Bq·m-2, which was lower than the background value of 1879.7 Bq·m-2 in the study area. At the top of the hill, soil erosion occurred to some extent. The 137Cs profile has distributional characteristics that can be divided into three categories. Most of the 137Cs area activity in Hilltop area is evenly distributed in 0-15 cm, and the 137Cs area activity below 15 cm decreased gradually until it disappeared. The spatial difference of wind erosion rate is significant in the study area, mainly between 7.17-10.13 t·hm-2a-1. The average wind erosion rate of hilltops with different tillage quality depths has little difference. The average wind erosion rate is 8.60 t·hm-2a-1, which belongs to mild erosion. However, its erosion rate is higher than the tolerable soil loss of 2 t·hm-2a-1 in the black soil region of northeast China. As a result, soil erosion control in the black soil region of northeast China still requires attention. [ABSTRACT FROM AUTHOR]