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Green transitions have emerged as a salient ecological and political-economic practice in urban China over the past decade. Most studies on such transitions have focused on the role of technological innovations and market instruments in facilitating economic upgrades and green development. However, the spatial analytical perspective, which interprets green transitions through their manifestations in urban ecological spaces, remains underexplored. This paper uses the Xinzhou River in Shenzhen as a case study and argues that nature is inseparable from human society and that green transitions represent a reconfiguration of socionatural relations amidst urbanization. We conceptualize urban waterscapes not merely as physical containers of water but also as socionatures embodying political agendas, institutional changes, social power, and symbolic meanings. Through an extensive review of archival material and semistructured interviews, our analysis delineates three distinct ontologies of waterscapes produced and reproduced in Shenzhen’s urbanization process: first, a drainage channel that the state created to attract and protect global capital for urban development; second, an “ecological fix” to help the local government fulfill environmental protection mandates and sustain development; and third, an image of quality urban life offering recreational, aesthetic, and ecological functions and a new means to foster a harmonious human-water relationship and sustainability. The transformation of the Xinzhou River’s waterscapes illustrates the complex interplay and mutual shaping that occurs among the state, the economy, nature and society, revealing the relational, dialectical and materialistic nature of China’s green transitions.

Semantic segmentation of point clouds of ancient buildings plays an important role in Historical Building Information Modelling (HBIM). As the annotation task of point cloud of ancient architecture is characterised by strong professionalism and large workload, which greatly restricts the application of point cloud semantic segmentation technology in the field of ancient architecture, therefore, this paper launches a research on the semantic segmentation method of point cloud of ancient architecture based on weak supervision. Aiming at the problem of small differences between classes of ancient architectural components, this paper introduces a self-attention mechanism, which can effectively distinguish similar components in the neighbourhood. Moreover, this paper explores the insufficiency of positional encoding in baseline and constructs a high-precision point cloud semantic segmentation network model for ancient buildings—Semantic Query Network based on Dual Local Attention (SQN-DLA). Using only 0.1% of the annotations in our homemade dataset and the Architectural Cultural Heritage (ArCH) dataset, the mean Intersection over Union (mIoU) reaches 66.02% and 58.03%, respectively, which is an improvement of 3.51% and 3.91%, respectively, compared to the baseline.

This study aims to develop a deep learning-based model for the automatic detection of fenestration and dehiscence in Cone Beam Computed Tomography (CBCT) images, providing a quantitative tool for diagnosing alveolar bone defects. Utilizing 10,752 manually annotated sagittal CBCT dental images, the Shifted Window Transformer U-Net (Swin UNETR) model was trained to automatically measure and diagnose fenestration and dehiscence. Model performance was evaluated based on key point localization accuracy, length measurement accuracy, and disease detection performance. Heatmaps were employed for visual identification of disease locations. The Swin UNETR model achieved key point recognition rates of 92.97%-99.09% for fenestration and dehiscence. Predicted lengths for all defect sites showed strong correlation with actual measurements. Disease diagnosis accuracy ranged from 0.8228 to 0.9476. The model demonstrated robust performance in key point identification, defect length quantification, and disease diagnosis. The deep learning model enables precise localization and quantitative measurement of fenestration and dehiscence in CBCT images. This approach enhances diagnostic efficiency and accuracy in detecting fenestration and dehiscence, facilitating preoperative orthodontic risk assessment and personalized treatment planning.

Background This study investigated the association between presenteeism and the perceived availability of social support among hospital doctors in China. Methods A questionnaire was administered by doctors randomly selected from 13 hospital in Hangzhou China using stratified sampling. Logit model was used for data analysis. Results The overall response rate was 88.16%. Among hospital doctors, for each unit increase of the perceived availability of social support, the prevalence of presenteeism was decreased by 8.3% (OR = 0.91, P  = 0.000). In particular, if the doctors perceived availability of appraisal support, belonging support and tangible support as sufficient, the act of presenteeism was reduced by 20.2% (OR = 0.806, P  = 0.000) 20.4% (OR = 0.803, P = 0.000) and 21.0% (OR = 0.799, P = 0.000) respectively with statistical differences. Conclusion In China, appraisal support, belonging support and tangible support, compared to other social support, had a stronger negative correlation with presenteeism among hospital doctors. The benefits of social support in alleviating doctors’ presenteeism warrant further investigation.

In order to better understand the changes in land use attributes, comprehend the drivers of land use changes, assess their environmental and economic impacts, and provide a scientific basis and data support for land use planning, environmental protection, and agricultural production, this study is based on Qiu County’s high-resolution image data from 2020-2022 and makes use of the latest research results of hyperspectral remote sensing technology to analyze its changes in land use attributes by establishing the time of the high-resolution image sequence cube data and solving the characteristic variables through band operations to quickly and accurately calculate a variety of remote sensing indicators and analyze the changes in their land use attributes. The results of the study show that vegetation in Qiu County will change significantly between 2020 and 2022, mainly due to seasonal and land-use changes; Water bodies will change less but more consistently; And buildings will change less, mainly focusing on villages and industrial land.

Background Due to the drug-centred tradition of Chinese hospital pharmacy and the lack of corresponding laws and regulations, Chinese clinical pharmacists may experience the problems of role ambiguity and role conflict. These problems may affect whether clinical pharmacists undertake their responsibilities, thus affecting the level of clinical pharmacy care. Objective To evaluate the level of Chinese clinical pharmacists’ role ambiguity and role conflict and to analyse their influence on the undertaking of responsibilities. Setting Research was conducted in 31 provinces (autonomous regions) and municipality directly under the Central Government in mainland China. Main outcome measure Chinese version of a role ambiguity and role conflict scale was used to measure clinical pharmacists’ role ambiguity and role conflict. A scale for clinical pharmacists’ responsibilities was established to measure whether clinical pharmacists undertake their responsibilities. Methods Subgroup analysis and logistic regression were employed to analyse the phenomenon of Chinese clinical pharmacists’ role ambiguity and role conflict and their influence on their fulfilment of responsibilities. Results Clinical pharmacists in China experience role ambiguity and role conflict. Clinical pharmacists in the eastern region, tertiary hospitals, and hospitals where clinical pharmacists training programs are available were less likely to experience role ambiguity and role conflict than those in the central and western regions, secondary hospitals, and hospitals where clinical pharmacists training programs are not available. Role ambiguity and role conflict have significant impacts on whether clinical pharmacists undertake certain responsibilities. Conclusion This study shows that clinical pharmacists in China experience problems with role ambiguity and role conflict and it will affect their fulfilment of their responsibilities. We propose that corresponding policies and measures should be taken to alleviate role ambiguity and role conflict and improve clinical pharmacy service.

China has the longest and widest distribution of blind corridors in the world, but in many cities they are virtually non-existent, with all kinds of obstacles affecting the movement of the blind. Thus, guaranteeing safe traveling for the blind has become an increasingly important topic. Some existing assistive traveling devices for the blind have problems such as poor portability and low-cost performance. With the rise of the mobility era and the rapid development of deep learning technology, the target detection of blind obstacles on cell phones has become feasible. In this paper, we take the target detection model YOLOv8n as the base network, redesign the neck of the network, use GS convolution as the basis, adopt one-time aggregation and cross-channel branching to build a lightweight module, and use the CARAFE operator as the up-sampling method, and stack the lightweight module with CARAFE operator to build a new feature fusion layer, forming a lightweight feature-aware enhanced target detection network. The results show that the accuracy still reaches 99.5% of the original network under the premise that the model size is reduced by 1.2%, and the improved network achieves a balance between accuracy and lightweight.

Background: This study investigated the association between presenteeism and the perceived availability of social support among hospital doctors in China. Methods: A questionnaire was administered by doctors randomly selected from 13 hospital in Hangzhou China using stratified sampling. Logit model was used for data analysis. Results: The overall response rate was 88.16%. Among hospital doctors, for each unit increase of the perceived availability of social support, the prevalence of presenteeism was decreased by 8.3% (OR=0.91, P=0.000). In particular, if the doctors perceived availability of appraisal support, belonging support and tangible support as sufficient, the act of presenteeism was reduced by 20.2% (OR=0.806, P=0.000) 20.4% (OR=0.803, P=0.000) and 21.0% (OR=0.799, P=0.000) respectively with statistical differences. Conclusion: In China, appraisal support, belonging support and tangible support, compared to other social support, had a stronger negative correlation with presenteeism among hospital doctors. The benefits of social support in alleviating doctors’ presenteeism warrant further investigation.

ObjectiveTo investigate the nutritional status of the inpatients with senile dementia and its related factors, and to provide references for the integrated care for them. MethodsWith the cluster sampling method, a total of 339 inpatients with senile dementia were recruited from Guangyuan Mental Health Center. All subjects were assessed with Mini-Nutritional Assessment (MNA), Mini-Mental State Examination (MMSE), Patient Health Questionnaire (PHQ-9) and DENTAL health screening (D-E-N-T-A-L). According to the score of MNA, the prevalence of malnutrition and at-risk of being undernourished were calculated. Ordinal Logistic regression and multivariate Logistic regression were used to explore potential risk factors of malnutrition. ResultsA total of 235 cases (69.3%) of senile dementia patients with nutritional problems were detected, including 151 cases (44.5%) of malnutrition and 84 cases (24.8%) of potential malnutrition. The influencing factors of nutritional status were being married (OR=0.58, 95% CI: 0.35~0.

Chronic alcoholism can damage the cytoskeleton and aggravate neurological deficits. However, the effect of chronic alcoholism on hippocampal neurons remains unclear. In this study, a model of chronic alcoholism was established in rats that were fed with 6% alcohol for 42 days. Endogenous hydrogen sulfide content and cystathionine-beta-synthase activity in the hippocampus of rats with chronic alcoholism were significantly increased, while F-actin expression was decreased. Hippocampal neurons in rats with chronic alcoholism appeared to have a fuzzy nuclear mem- brane, mitochondrial edema, and ruptured mitochondrial crista. These findings suggest that chronic alcoholism can cause learning and memory decline in rats, which may be associated with the hydrogen sulfide/cystathionine-beta-synthase system, mitochondrial damage and reduced expression of F-actin.