Objective To develop a tool for assessing the needs for care services for adults with disabilities in welfare institutions,and formulate criteria for classifying care needs.Methods Based on the theory of the International Classification of Functioning,Disability and Health,the core contents of domestic and international care service assessment standards were analysed,and the first draft of the assess-ment tool was formed integrating with the current practice of welfare institutions.A total of eleven experts in the field of care services validated the first draft,and the assessment tool was revised according to the experts'opin-ions.From May to June,2024,340 adults with disabilities from Second Social Welfare Institute of Shanghai were graded to analyze the reliability and validity of the assessment tool.And then,1 046 subjects from Second Social Welfare Institute of Shanghai were graded using the assessment tool,and the scoring intervals for the five levels of care were determined using cluster analysis.Results The assessment tool included four first-level dimensions,eleven second-level dimensions,39 third-level dimen-sions and 43 indicators.The coefficients of variation of each dimension and indicator were less than 0.25 for ex-pert validation,while the average score of the importance of each indicator was above 4.63,with a full score rate more than 0.86.The overall Cronbach's α coefficient was 0.956,the test-retest reliability was 0.997,and the con-tent validity index of each indicator was 0.83 to 1.00.The exploratory factor analysis extracted four common fac-tors,with a cumulative variance contribution of 86.679%;the loading coefficients of indicators were 0.675 to 0.878,and the correlation coefficients among the dimensions were 0.325 to 0.476.Cluster analysis determined the level of institutional care needs as level 1(severe),level 2(medium-heavy),level 3(medium),level 4(light-moderate),and level 5(light).Conclusion The needs assessment tool for care services for adults with disabilities in welfare institutions developed in this study is good in reliability and validity,and can be used in guiding the care services provided for people with disabilities more efficient and targeted.

Objective: To develop a facial image generation method based on a facial color-preserving generative adversarial network (FCP-GAN) that effectively decouples identity features from diagnostic facial complexion characteristics in traditional Chinese medicine (TCM) inspection, thereby addressing the critical challenge of privacy preservation in medical image analysis. Methods: A facial image dataset was constructed from participants at Nanjing University of Chinese Medicine between April 23 and June 10, 2023, using a TCM full-body inspection data acquisition equipment under controlled illumination. The proposed FCP-GAN model was designed to achieve the dual objectives of removing identity features and preserving colors through three key components: (i) a multi-space combination module that comprehensively extracts color attributes from red, green, blue (RGB), hue, saturation, value (HSV), and Lab spaces; (ii) a generator incorporating efficient channel attention (ECA) mechanism to enhance the representation of diagnostically critical color channels; and (iii) a dual-loss function that combines adversarial loss for de-identification with a dedicated color preservation loss. The model was trained and evaluated using a stratified 5-fold cross-validation strategy and evaluated against four baseline generative models: conditional GAN (CGAN), deep convolutional GAN (DCGAN), dual discriminator CGAN (DDCGAN), and medical GAN (MedGAN). Performance was assessed in terms of image quality [peak signal-to-noise ratio (PSNR) and structural similarity (SSIM)], distribution similarity [Fréchet inception distance (FID)], privacy protection (face recognition accuracy), and diagnostic consistency [mean squared error (MSE) and Pearson correlation coefficient (PCC)]. Results: The final analysis included facial images from 216 participants. Compared with baseline models, FCP-GAN achieved superior performance, with PSNR = 31.02 dB and SSIM = 0.908, representing an improvement of 1.21 dB and 0.034 in SSIM over the strongest baseline (MedGAN). The FID value (23.45) was also the lowest among all models, indicating superior distributional similarity to real images. The multi-space feature fusion and the ECA mechanism contributed significantly to these performance gains, as evidenced by ablation studies. The stratified 5-fold cross-validation confirmed the model’s robustness, with results reported as mean ± standard deviation (SD) across all folds. The model effectively protected privacy by reducing face recognition accuracy from 95.2% (original images) to 60.1% (generated images). Critically, it maintained high diagnostic fidelity, as evidenced by a low MSE (< 0.051) and a high PCC (> 0.98) for key TCM facial features between original and generated images. Conclusion The FCP-GAN model provides an effective technical solution for ensuring privacy in TCM diagnostic imaging, successfully having removed identity features while preserving clinically vital facial color features. This study offers significant value for developing intelligent and secure TCM telemedicine systems.

Objective:To quantitatively assess the participation of social medical insurance in palliative care medical insurance payment policies in different regions of China,explore the characteristics,find the weak points,and provide a basis for subsequent policy formulation.Methods:Based on text mining and literature review,it established a Policy Modeling Consistency(PMC)index model with 9 primary indicators and 38 secondary indicators,and quantitatively evaluated the palliative care insurance payment policies from 2017 to 2024.Results:A total of 24 policies were included,and the overall PMC index was 5.65,which was an acceptable grade,including 10 good grade policies,13 acceptable grade policies,and 1 poor grade policy.Conclusion:Overall,palliative care medical insurance payment policies are good,with relatively complete provisions in terms of coverage,medical insurance payment mechanism,supervision and management.However,there are still shortcomings in terms of financing channels,policy recipients,and incentive constraints.The follow-up should focus on broadening the financing channels,expanding the scope of recipients,and improving the incentive and constraint mechanism,so as to promote the optimization and improvement of the palliative care insurance payment system.

Objective To develop a tool for assessing the needs for care services for adults with disabilities in welfare institutions,and formulate criteria for classifying care needs.Methods Based on the theory of the International Classification of Functioning,Disability and Health,the core contents of domestic and international care service assessment standards were analysed,and the first draft of the assess-ment tool was formed integrating with the current practice of welfare institutions.A total of eleven experts in the field of care services validated the first draft,and the assessment tool was revised according to the experts'opin-ions.From May to June,2024,340 adults with disabilities from Second Social Welfare Institute of Shanghai were graded to analyze the reliability and validity of the assessment tool.And then,1 046 subjects from Second Social Welfare Institute of Shanghai were graded using the assessment tool,and the scoring intervals for the five levels of care were determined using cluster analysis.Results The assessment tool included four first-level dimensions,eleven second-level dimensions,39 third-level dimen-sions and 43 indicators.The coefficients of variation of each dimension and indicator were less than 0.25 for ex-pert validation,while the average score of the importance of each indicator was above 4.63,with a full score rate more than 0.86.The overall Cronbach's α coefficient was 0.956,the test-retest reliability was 0.997,and the con-tent validity index of each indicator was 0.83 to 1.00.The exploratory factor analysis extracted four common fac-tors,with a cumulative variance contribution of 86.679%;the loading coefficients of indicators were 0.675 to 0.878,and the correlation coefficients among the dimensions were 0.325 to 0.476.Cluster analysis determined the level of institutional care needs as level 1(severe),level 2(medium-heavy),level 3(medium),level 4(light-moderate),and level 5(light).Conclusion The needs assessment tool for care services for adults with disabilities in welfare institutions developed in this study is good in reliability and validity,and can be used in guiding the care services provided for people with disabilities more efficient and targeted.

Objective:To quantitatively assess the participation of social medical insurance in palliative care medical insurance payment policies in different regions of China,explore the characteristics,find the weak points,and provide a basis for subsequent policy formulation.Methods:Based on text mining and literature review,it established a Policy Modeling Consistency(PMC)index model with 9 primary indicators and 38 secondary indicators,and quantitatively evaluated the palliative care insurance payment policies from 2017 to 2024.Results:A total of 24 policies were included,and the overall PMC index was 5.65,which was an acceptable grade,including 10 good grade policies,13 acceptable grade policies,and 1 poor grade policy.Conclusion:Overall,palliative care medical insurance payment policies are good,with relatively complete provisions in terms of coverage,medical insurance payment mechanism,supervision and management.However,there are still shortcomings in terms of financing channels,policy recipients,and incentive constraints.The follow-up should focus on broadening the financing channels,expanding the scope of recipients,and improving the incentive and constraint mechanism,so as to promote the optimization and improvement of the palliative care insurance payment system.

The wide use of crystalline silicon solar cells in the field of new energy is an important boost for China to achieve the environmental protection goal as soon as possible. However, the production and manufacturing processes of these cells give rise to various occupational hazards at workplace, thus posing health risks to workers. This review provided an overview of production processes of crystalline silicon solar cells, the characteristics of occupational health hazards (productive dust; physical factors, productive toxicant) and proposed occupational protection suggestions.

The wide use of crystalline silicon solar cells in the field of new energy is an important boost for China to achieve the environmental protection goal as soon as possible. However, the production and manufacturing processes of these cells give rise to various occupational hazards at workplace, thus posing health risks to workers. This review provided an overview of production processes of crystalline silicon solar cells, the characteristics of occupational health hazards (productive dust; physical factors, productive toxicant) and proposed occupational protection suggestions.

OBJECTIVE To analyze the differences in gait features between patients with cardiovascular and cerebrovascular dis-eases and normal people,and to explore new objective features of traditional Chinese medicine(TCM)whole-body inspection.METHODS A monocular camera was used to collect frontal walking videos of subjects,and the diagnosis results of TCM practitioners were used as disease annotation data;a deep learning model was used to estimate the three-dimensional coordinates of key points;the gait features were defined and calculated based on the three-dimensional coordinates of key points of the lower limbs;differences in gait features among people with cardiovascular and cerebrovascular diseases were collected and verified.RESULTS The three-di-mensional coordinates of key points of the lower limbs were automatically extracted and 8 types of TCM gait features were calculated:step width,stride length,foot lift height,limb angle,left and right hip joint angles,and left and right knee joint angles.It was found that there were significant differences in the features between people with cardiovascular and cerebrovascular diseases and healthy peo-ple(P<0.05).CONCLUSION The TCM inspection gait extracted by this study can effectively distinguish patients with cardiovas-cular and cerebrovascular diseases from healthy people,expands the research scope of TCM whole-body inspection,and provides new ideas for the early detection and prevention of cardiovascular and cerebrovascular diseases.

OBJECTIVE To analyze the differences in gait features between patients with cardiovascular and cerebrovascular dis-eases and normal people,and to explore new objective features of traditional Chinese medicine(TCM)whole-body inspection.METHODS A monocular camera was used to collect frontal walking videos of subjects,and the diagnosis results of TCM practitioners were used as disease annotation data;a deep learning model was used to estimate the three-dimensional coordinates of key points;the gait features were defined and calculated based on the three-dimensional coordinates of key points of the lower limbs;differences in gait features among people with cardiovascular and cerebrovascular diseases were collected and verified.RESULTS The three-di-mensional coordinates of key points of the lower limbs were automatically extracted and 8 types of TCM gait features were calculated:step width,stride length,foot lift height,limb angle,left and right hip joint angles,and left and right knee joint angles.It was found that there were significant differences in the features between people with cardiovascular and cerebrovascular diseases and healthy peo-ple(P<0.05).CONCLUSION The TCM inspection gait extracted by this study can effectively distinguish patients with cardiovas-cular and cerebrovascular diseases from healthy people,expands the research scope of TCM whole-body inspection,and provides new ideas for the early detection and prevention of cardiovascular and cerebrovascular diseases.

Objective:To observe the effect of escitalopram combined with repetitive transcranial magnetic stimulation (rTMS) on efficacy and attention function in patients with first-episode unipolar depression.Methods:Fifty-two first-episode initial-naive unipolar depression patients were enrolled in Department of Neurology of Guangzhou First People's Hospital from March 2022 to April 2023 were chosen. They were randomly allocated to active stimulation group ( n=27) and sham stimulation group ( n=25); both were treated with escitalopram, and active treatment or sham treatment in the left dorsolateral prefrontal cortex (DLPFC) were given for 4 weeks (5 d per week, 20 d totally). Before treatment and 2 and 4 weeks after treatment, Hamilton Depression Rating Scale (HAMD)-24 was used to evaluate depressive symptoms, and Birmingham Cognitive Screening Scale-Chinese (BCoS-C) was used to evaluate the attention function. Results:(1) In terms of depressive symptoms: HAMD-24 scores of the active stimulation group 2 and 4 weeks after treatment (20.63±2.73, 15.85±2.43) were significantly lower than those before treatment (25.74±2.68, P<0.05); HAMD-24 scores of sham stimulation group 4 weeks after treatment were also significantly lower than those before treatment ([20.48±2.33] vs. [25.80±2.57], P<0.05); HAMD-24 scores of the active stimulation group 2 and 4 weeks after treatment were significantly lower than those of sham stimulation group ( P<0.05). (2) In terms of auditory attention indicators: total correct number (selective attention) in active stimulation group 4 weeks after treatment was significantly larger than that before treatment (51.74±1.38 vs. 47.48±1.60), and the sustained index (sustained attention) was significantly lower than that before treatment (0.74±0.71 vs. 4.37±1.15, P<0.05); total correct number in active stimulation group 4 weeks after treatment was significantly larger than that in sham stimulation group (48.00±1.66), and the sustained index was significantly lower than that in sham stimulation group (3.72±1.28, P<0.05). Conclusion:Combined with escitalopram, rTMS can more effectively mitigate the depressive symptoms in first-episode unipolar depression patients, and depressive symptoms improve more quickly than attentional function.