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The article illustrates and analyzes the environmental features of Rim Valley and Shifangou Village in the northern Qinling Mountains. Firstly, the ecological characteristics of Rim Valley in terms of elevation, slope, slope direction, river network, and land use classification were summarized through Arcgis mapping so as to overview the environment of Shifangou village as a sub-body of the Rim Valley; secondly, the environmental data of Shifangou village were obtained through field research, and the village landscape evaluation was conducted according to the local conditions, and the methods used were hierarchical analysis and villagers’ rating method, which were based on four dimensions of village environment: ecological elements, production elements, life elements, and feelings elements. The technique used is hierarchical analysis and villagers’ rating method, which mainly evaluates the rural environment in four dimensions, namely, rural ecological elements, rural production elements, rural life elements, and rural feeling elements, and expands on the basis of the “Three Lives” research method, focusing on people’s feelings towards the countryside, so as to arrive at the basic situation of the environment in Shifangou Village.

Previous studies that have addressed the growing mental health problems among sexual minorities in mainland China, but failed to inform mental health programs and public health policies with consistent detection results. To obtain robust results on aggregate detection rates and moderators of these problems, we performed a meta-analysis of the related Chinese and English literature published before 2022. Ultimately, 305 eligible studies (ndepression = 127, nanxiety = 71, nsuicide ideation = 55, nsuicide plan = 13, nsuicide attempt = 39) were pooled in the analysis. The results revealed "Money boys" and people living with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) had higher detection rates than general men who have sex with men. Depression was more prevalent in gays than lesbians, and the latter had a higher detection rate of suicide. Detection rates of anxiety and depression among sexual minorities in China were moderated by detection time, measurement tools, and their detection thresholds. Suggested future priorities include developing more targeted measurement tools that consider the living conditions and psychological characteristics of local sexual minorities, enhancing mental health programs for sexual minorities, and devising more practical and effective interventions to prevent and reduce their mental health problems. [ABSTRACT FROM AUTHOR]

In intelligent transportation systems, one key challenge for managing ride-hailing services is the balancing of traffic supply and demand while meeting passenger needs within vehicle availability constraints. Accurate origin–destination (OD) demand predictions can empower platforms to execute timely reallocation of cruising vehicles and improve ride-sharing services. Nonetheless, the complexity of OD-based demand prediction arises from intricate spatiotemporal dependencies and a higher need for precision compared to zone-based predictions, which leads to many unprecedented OD pairs. To tackle this issue, we design a comprehensive set of 102 features, including travel demand, passenger count, travel volume, liveliness, weather, and cross features. We also introduce an enhanced conformer model, which is composed of a single conformer block that integrates feedforward layers, multihead self-attention mechanisms, and depth-wise separable convolution layers. To address the cold-start problem and manage large values, we design a specific algorithm for OD pairs lacking training data and apply a technique to handle larger values. Our approach demonstrates a marked improvement in prediction performance, with an 18% decrease in the total travel demand error and up to a 47% reduction for certain larger values in some cases. Through extensive experiments on a dataset collected from a city, provided by a ride-hailing platform, our proposed methods significantly outperform the most advanced models. [ABSTRACT FROM AUTHOR]