Abstract Family is the primary living place of children and adolescents, which has important impacts on children and adolescents physical activity. The article systematically reviews the research progress on potential mechanisms of family influence on physical activities of children and adolescents, focusing on the theoretical mechanism of intergenerational transmission on parent-child physical activities,which includes family s role in children s motivation and achievement for exercise behaviors, the integrative model of parental socialization influence and integrated model of physical activity parenting. It provides new perspectives for future research in related fields and gives more suggestions and reference for subsequent development of family enhancement programs and family-school collaborative programs.

Objective:To explore the efficacy of deep learning-based automatic segmentation technology in the segmentation of hepatocellular carcinoma (HCC) lesions using gadoxetate disodium-enhanced MRI (EOB-MRI), and to investigate the prognostic value of radiomics analysis in predicting patient outcomes.Methods:This was a cross-sectional, retrospective study that collected data from 352 patients with solitary HCC who underwent imaging at the Harbin Medical University Cancer Hospital between June 2015 and May 2023. The patients were randomly divided into a training set ( n=213) and a validation set ( n=139) in a 3∶2 ratio using weighted random sampling. Two radiologists manually annotated the lesions. Hepatobiliary-phase EOB-MRI images were standardized, and six deep learning models,nnU-Net, nnFormer, UnetR, Swin-UnetR, UnetR++ and MedNeXt,were trained for automatic segmentation on the training set. The segmentation performance was evaluated on the validation set, and the segmentation efficacy was assessed using the Dice coefficient and 95% Hausdorff distance (HD 95), identifying of the optimal model. Radiomics features were extracted from both manual and automatic segmentation regions, and the radiomics score (Radscore) was calculated to stratify patients into high-risk and low-risk groups. Kaplan-Meier curves and log-rank tests were used to analyze the differences in relapse-free survival (RFS) and overall survival (OS) between the different stratified groups. Results:Among the automatic segmentation models, the MedNeXt model performed best in the validation set, with a Dice coefficient of 76.0%, HD 95 of 7.2, and a segmentation success rate of 90.6% (126/139). The nnFormer model was the second-best, with a Dice coefficient of 75.3%, HD 95 of 10.1, and a segmentation success rate of 89.9% (125/139). Other models showed Dice coefficients ranging from 66.3% to 74.1%. A MedNext-nnF model was established by combining the MedNeXt and nnFormer models, achieving a Dice coefficient of 78.2%, HD 95 of 5.9, and a segmentation success rate of 92.1% (128/139) in the validation group. After constructing the automatic segmentation radiomics prognostic model, patients were stratified by Radscore. Both manual and automatic segmentation models showed statistically significant differences in RFS and OS between different risk groups ( P<0.001). Conclusions:The Mednext-nnF fusion model enables efficient and automated segmentation of HCC lesions in EOB-MRI. The radiomics model constructed based on the automated segmentation demonstrates strong performance in predicting and stratifying prognostic risk.

Central venous access device associated skin impairment is a common complication of indwelling central venous catheters in cancer patients. To further enhance the standardization of nursing staff's practice of central venous access device associated skin impairment, a clinical nursing practice guideline for central venous access device associated skin impairment in cancer patients was developed through the Delphi expert consultation and expert meeting methods in accordance with the methodology for developing evidence-based nursing practice guidelines. Recommendations cover four aspects of management requirements, assessment, prevention, and management of central venous access device associated skin impairment, providing a practical basis for clinical healthcare professionals to make scientific decisions on central venous access device associated skin impairment.

Central venous access device associated skin impairment is a common complication of indwelling central venous catheters in cancer patients. To further enhance the standardization of nursing staff's practice of central venous access device associated skin impairment, a clinical nursing practice guideline for central venous access device associated skin impairment in cancer patients was developed through the Delphi expert consultation and expert meeting methods in accordance with the methodology for developing evidence-based nursing practice guidelines. Recommendations cover four aspects of management requirements, assessment, prevention, and management of central venous access device associated skin impairment, providing a practical basis for clinical healthcare professionals to make scientific decisions on central venous access device associated skin impairment.

Objective:To explore the efficacy of deep learning-based automatic segmentation technology in the segmentation of hepatocellular carcinoma (HCC) lesions using gadoxetate disodium-enhanced MRI (EOB-MRI), and to investigate the prognostic value of radiomics analysis in predicting patient outcomes.Methods:This was a cross-sectional, retrospective study that collected data from 352 patients with solitary HCC who underwent imaging at the Harbin Medical University Cancer Hospital between June 2015 and May 2023. The patients were randomly divided into a training set ( n=213) and a validation set ( n=139) in a 3∶2 ratio using weighted random sampling. Two radiologists manually annotated the lesions. Hepatobiliary-phase EOB-MRI images were standardized, and six deep learning models,nnU-Net, nnFormer, UnetR, Swin-UnetR, UnetR++ and MedNeXt,were trained for automatic segmentation on the training set. The segmentation performance was evaluated on the validation set, and the segmentation efficacy was assessed using the Dice coefficient and 95% Hausdorff distance (HD 95), identifying of the optimal model. Radiomics features were extracted from both manual and automatic segmentation regions, and the radiomics score (Radscore) was calculated to stratify patients into high-risk and low-risk groups. Kaplan-Meier curves and log-rank tests were used to analyze the differences in relapse-free survival (RFS) and overall survival (OS) between the different stratified groups. Results:Among the automatic segmentation models, the MedNeXt model performed best in the validation set, with a Dice coefficient of 76.0%, HD 95 of 7.2, and a segmentation success rate of 90.6% (126/139). The nnFormer model was the second-best, with a Dice coefficient of 75.3%, HD 95 of 10.1, and a segmentation success rate of 89.9% (125/139). Other models showed Dice coefficients ranging from 66.3% to 74.1%. A MedNext-nnF model was established by combining the MedNeXt and nnFormer models, achieving a Dice coefficient of 78.2%, HD 95 of 5.9, and a segmentation success rate of 92.1% (128/139) in the validation group. After constructing the automatic segmentation radiomics prognostic model, patients were stratified by Radscore. Both manual and automatic segmentation models showed statistically significant differences in RFS and OS between different risk groups ( P<0.001). Conclusions:The Mednext-nnF fusion model enables efficient and automated segmentation of HCC lesions in EOB-MRI. The radiomics model constructed based on the automated segmentation demonstrates strong performance in predicting and stratifying prognostic risk.

As the comprehensive reform of public hospitals enters a more challenging phase,the conventional extensive operation management no longer fulfills the requirements of high-quality development.This article investigates the current challen-ges in hospital operation management under the DIP payment system,proposes an optimized pathway as well as an outline for practical implementation.The proposed pathway suggests implementing a closed-loop resource allocation strategy integrating budg-et and performance based on disease groups and scores,establishing a cost management mechanism for enhancing resource effi-ciency,and development of a performance distribution system for stimulating self-management motivation among personnel.Addi-tionally,the article suggests the establishment of a Management Information System,aiming to provide practical references for en-hancing operational management capabilities in public hospitals under the DIP payment mode.

This article is based on ZHANG Jingyue's theory of yin-yang holism to explore the etiology， pathogenesis， and treatment of acute exacerbation of rheumatoid arthritis-associated interstitial lung disease （RA-ILD）. It is believed that the foundation of acute exacerbation of RA-ILD lies in real yin insufficiency and yin fail to control yang； external pathogen attacking is a common cause of acute exacerbation of RA-ILD. For treatment， it is important to first suppress ministerial fire by prescribing modified Yinhuo Decoction （引火汤）； if ministerial fire submerged， focus should be on nourishing both yin and yang； if real yin deficiency is the main issue， modified Zuogui Pill （左归丸） should be used； if real yang deficiency is prominent as well， modified Yougui Pill （右归丸） can be chosen. When yin and yang balanced， the disease could be solved.

Objective To investigate the clinical manifestations,molecular genetics and gonadal pathol-ogy characteristics of patients with disorders of sex development(DSD),and to summarize the clinical experi-ence of identifying rare diseases from common symptoms.Methods The clinical data of 416 patients with DSD diagnosed and treated in the multidisciplinary center of DSD of Guangzhou Women and Children's Medical Cen-ter from May 2018 to August 2023 were retrospectively analyzed,summarized and discussed.Results Accord-ing to chromosome karyotype,416 cases of DSD were classified into three types:92 cases(22.1％)of abnormal sex chromosome karyotype,285 cases(68.5％)of 46,XY karyotype and 39 cases(9.4％)of 46,XX karyotype.Among the 92 patients with abnormal sex chromosome karyotype,59 cases were raised as males,18 cases(30.5％)complained of short penis with hypospadias and cryptorchidism.The most common karyotype was 45,X/46,XY(58 cases,63.0％).Among the 285 patients with 46,XY karyotype,238 cases were raised as males,and 63 cases(26.5％)complained of short penis and hypospadias;47 cases were raised as females,and 13 ca-ses(27.7％)complained of inguinal mass.A total of 216 patients with 46,XY karyotype were subjected to whole exome gene detection,and 155 cases(71.8％)were found to have molecular pathogenesis with the clinical phe-notype.Among the 39 patients with 46,XX karyotype,19 cases were raised as males,and 8 cases(42.1％)com-plained of short penis and hypospadias.In the 18 cases of gonad biopsy,17 cases showed testicular tissue in go-nads.Whole exome sequencing was performed in 14 cases.NR5A1 gene heterozygous mutation,SRY gene muta-tion and SOX3 gene mutation were found in 2 cases,respectively(14.3％).Twenty cases were raised as females,and 14 cases(70.0％)complained of clitoral hypertrophy.Gonad biopsy was performed in 8 cases,with 7 cases of ovotestis(87.5％)and 1 case of NR5A1 gene heterozygous mutation(14.3％).Conclusions The etiologies of DSD are complex and diverse,and the clinical manifestations are various,which can be manifested as hypospa-dias,micropenis,cryptorchidism and other common symptoms of the urinary system.Different etiologies have dif-ferent treatment options.Therefore,chromosome karyotype,molecular genetic testing and gonadal pathology can be used to clarify the cause of disease,especially for rare diseases,improve the detection rate,reduce the rate of missed diagnosis,and ensure reasonable treatment,especially sex selection.

Objective To translate the Misscare Survey Operating Room(OR)Scale into Chinese,and to test its reliability and validity.Methods The improved Brislin model is used for translation.The Chinese version scale was determined after cross-cultural adaptation and pre-experiment.A convenient sampling method was used to investigate 310 operating room nurses from 2 tertiary A hospitals in Liaoning province from October to December 2023 to analyze the reliability and validity of the scale through questionnaire survey.Results The Chinese version scale of the Misscare Survey OR included 28 OR nursing activities in part A and 16 items of missed nursing care in part B.The Cronbach's α coefficient was 0.949 and 0.886,respectively;the test-retest reliability was 0.887 and 0.784,respectively.In part A,the exploratory factor analysis extracted 5 factors,including law,preparedness,security,communication and closure procedures,with a cumulative variance contribution of 85.718％.In Part B,4 factors(urgency,staffing,materials,teamwork)were extracted by exploratory factor analysis,and the cumulative variance contribution rate was 82.965％.In Part A,the content validity and the content validity index of the item level of the scale was 0.80～1.00 and 0.98;in Part B,the content validity and the content validity index of the item level of the scale was 0.80～1.00 and 0.96.Conclusion The Chinese version of the Misscare Survey OR Scale has good reliability and validity,which can be used to measure the missing items of the OR nurses in China and reflect the missing reasons,and it can be used as an evaluation tool to evaluate the missed care of OR nurses.