Objective To investigate the current symptom status of maintenance hemodialysis(MHD)patients,analyze the influencing factors from the perspective of multidimensional symptom burden,extract symptom groups,and construct a symptom network.Methods A total of 490 patients who received MHD at the blood purification center of a tertiary hospital in Shanghai from March to April 2025 were selected using a convenience sampling method.30 symptoms of MHD patients were investigated using a modified dialysis symptom index table.SPSS and R software were utilized to analyze the influencing factors,extract symptom groups,and construct a multidimensional symptom network.Results A total of 488 valid questionnaires were collected,with a valid questionnaire recovery rate of 99.59％.The median number of symptoms experienced by patients was 6(interquartile range:4,8),with the top 5 symptoms being dry skin(69.88％),fatigue or tiredness(56.97％),itching(56.97％),worry(50.20％),and dry mouth(46.31％).Multidimensional analysis indicated that age,duration of dialysis,education level,and complications were influencing factors of symptom burden scores across different dimensions.6 stable symptom groups were extracted,namely skin discomfort,fatigue and pain,gastrointestinal tract,sleep disorders,water-electrolyte imbalance,and uremia.The results of the symptom network analysis revealed that difficulty of falling asleep had the highest intensity centrality(rs=2.18,2.25,2.12).Conclusion The symptom association is relatively stable,and difficulty of falling asleep is the core symptom.This finding can assist clinical medical staff in achieving efficiency and precision in symptom group management.

Objective To explore the core theories and medication characteristics of traditional Chinese medicine in the treatment of Sj?gren syndrome(SS).Methods Search for relevant literatures on the treatment of SS with traditional Chinese medicine published in CNKI,Wanfang Data Knowledge Service Platform,VIP,and SinoMed from the establishment of the database to September 30,2022,screen the prescriptions for the treatment of SS with traditional Chinese medicine and conduct data mining.Results A total of 137 prescriptions were finally selected,involving 186 Chinese medicines.Among them,yin-nourishing medicines,interior heat-clearing medicines and qi-tonifying medicines were used most frequently,and Maidong,Shengdihuang,Baishao ranked among the top 3 in terms of usage frequency.The four qi of Chinese medicines were mainly based on the cold,and the five flavors were based on the sweet flavors.The channel tropism were based on lung meridian and liver meridian.Entropy clustering analysis finally obtained four new prescriptions.Conclusion The treatment of SS is based on nourishing yin for moistening dryness,invigorating spleen and replenishing qi,removing toxicity substance and resolving macula,and dredging channels.At the same time,it emphasizes the application of concepts such as sour and sweet transform into yin,body fluids and blood share the same source,and seeking yin from yang.

Objective To investigate the current symptom status of maintenance hemodialysis(MHD)patients,analyze the influencing factors from the perspective of multidimensional symptom burden,extract symptom groups,and construct a symptom network.Methods A total of 490 patients who received MHD at the blood purification center of a tertiary hospital in Shanghai from March to April 2025 were selected using a convenience sampling method.30 symptoms of MHD patients were investigated using a modified dialysis symptom index table.SPSS and R software were utilized to analyze the influencing factors,extract symptom groups,and construct a multidimensional symptom network.Results A total of 488 valid questionnaires were collected,with a valid questionnaire recovery rate of 99.59％.The median number of symptoms experienced by patients was 6(interquartile range:4,8),with the top 5 symptoms being dry skin(69.88％),fatigue or tiredness(56.97％),itching(56.97％),worry(50.20％),and dry mouth(46.31％).Multidimensional analysis indicated that age,duration of dialysis,education level,and complications were influencing factors of symptom burden scores across different dimensions.6 stable symptom groups were extracted,namely skin discomfort,fatigue and pain,gastrointestinal tract,sleep disorders,water-electrolyte imbalance,and uremia.The results of the symptom network analysis revealed that difficulty of falling asleep had the highest intensity centrality(rs=2.18,2.25,2.12).Conclusion The symptom association is relatively stable,and difficulty of falling asleep is the core symptom.This finding can assist clinical medical staff in achieving efficiency and precision in symptom group management.

Objective To explore the core theories and medication characteristics of traditional Chinese medicine in the treatment of Sj?gren syndrome(SS).Methods Search for relevant literatures on the treatment of SS with traditional Chinese medicine published in CNKI,Wanfang Data Knowledge Service Platform,VIP,and SinoMed from the establishment of the database to September 30,2022,screen the prescriptions for the treatment of SS with traditional Chinese medicine and conduct data mining.Results A total of 137 prescriptions were finally selected,involving 186 Chinese medicines.Among them,yin-nourishing medicines,interior heat-clearing medicines and qi-tonifying medicines were used most frequently,and Maidong,Shengdihuang,Baishao ranked among the top 3 in terms of usage frequency.The four qi of Chinese medicines were mainly based on the cold,and the five flavors were based on the sweet flavors.The channel tropism were based on lung meridian and liver meridian.Entropy clustering analysis finally obtained four new prescriptions.Conclusion The treatment of SS is based on nourishing yin for moistening dryness,invigorating spleen and replenishing qi,removing toxicity substance and resolving macula,and dredging channels.At the same time,it emphasizes the application of concepts such as sour and sweet transform into yin,body fluids and blood share the same source,and seeking yin from yang.

ObjectiveTo explore the current situation of forensic ethics practice and education by designing a questionnaire on forensic ethics， with a view to exploring the path of forensic ethics education construction. MethodsA total of 667 valid questionnaires were collected using the online survey method， basically covering various regions across the country and all sub-specialties of forensic medicine. Descriptive analysis was used to analyze the relevant data. ResultsMost practitioners had relevant ethical reflections in the process of forensic practice. 69.12% of the respondents indicated that they had studied the relevant rules， but approximately half stated that there were no corresponding ethical norms or standard operating manuals. The specific behaviors violating ethics in different units were diverse. 23.04% of the respondents reported that they had encountered unethical behaviors， but only 4.9% of them reported such violations. In terms of forensic ethics education， 87.75% of the respondents believed that there were issues with the current model of forensic ethics education. Meanwhile， the respondents showed a high degree of recognition for receiving forensic ethics education， with 84.15% of respondents expressing willingness to participate in relevant courses. More than half of respondents were willing to participate in forensic ethics education during undergraduate studies， new employee training， and regular post-employment training. ConclusionCurrently， there is a problem of ethical neglect in forensic work in China. Combining ethics courses with professional courses at the practitioner training stage and providing regular training at the practice stage are effective measures to popularize forensic ethics knowledge， enhance ethical awareness， and improve the quality of practice.

Antibody humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic antibodies originated from animal models.Computational suggestions have long been desired,but available tools focused on immunogenicity calculation of whole antibody sequences and sequence segments,missing the individual residue sites.This study introduces Site-specific Immunogenicity for Therapeutic Antibody(SITA),a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody,but also individual residues,based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures.A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Antibody-Antibody structural complexes.On an independent testing dataset derived from 13 Antibody-Antibody structural complexes,SITA successfully predicted the epitope sites for Antibody-Antibody structures with a receiver operating characteristic(ROC)-area unver the ROC curve(AUC)of 0.85 and a precision-recall(PR)-AUC of 0.305 at the residue level.Furthermore,the SITA score can significantly distinguish immunogenicity levels of whole human antibodies,therapeutic antibodies and non-human-derived antibodies.More importantly,analysis of an additional 25 thera-peutic antibodies revealed that over 70％of them were detected with decreased immunogenicity after modification compared to their parent variants.Among these,nearly 66％antibodies successfully iden-tified actual modification sites from the top five sites with the highest SITA scores,suggesting the ability of SITA scores for guide the humanization of antibody.Overall,these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

Antibody (Ab) humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic Abs originated from animal models. Computational suggestions have long been desired, but available tools focused on immunogenicity calculation of whole Ab sequences and sequence segments, missing the individual residue sites. This study introduces Site-specific Immunogenicity for Therapeutic Antibody (SITA), a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody, but also individual residues, based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures. A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Ab-Ab structural complexes. On an independent testing dataset derived from 13 Ab-Ab structural complexes, SITA successfully predicted the epitope sites for Ab-Ab structures with a receiver operating characteristic (ROC)-area unver the ROC curve (AUC) of 0.85 and a precision-recall (PR)-AUC of 0.305 at the residue level. Furthermore, the SITA score can significantly distinguish immunogenicity levels of whole human Abs, therapeutic Abs and non-human-derived Abs. More importantly, analysis of an additional 25 therapeutic Abs revealed that over 70% of them were detected with decreased immunogenicity after modification compared to their parent variants. Among these, nearly 66% Abs successfully identified actual modification sites from the top five sites with the highest SITA scores, suggesting the ability of SITA scores for guide the humanization of antibody. Overall, these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

Objective To study the clinical and CT findings of bronchiolar adenoma. Methods Patients diagnosed with bronchiolar adenoma confirmed by surgical pathology at Linyi People's Hospital and Yantai Yuhuangding Hospital from 2016 to 2021 were collected. Their clinical and CT imaging features were retrospectively analyzed. Results Finally, 25 patients were collected, including 6 males and 19 females, aged 32-73 (58.6±10.1) years. The immunohistochemical Ki-67 (MIB1) of all lesions was <5%. The lesions were located in the upper and middle lobe of both lungs in 9 patients, lower lobes in 16 patients, extrapulmonary zone in 22 patients, intrapulmonary middle zone in 3 patients, round in 11 patients, irregular in 14 patients, well-defined in 22 patients, pure ground-glass/mixed ground-glass nodules in 6 patients, solid nodules in 19 patients. There were 11 patients with central small cavity, 18 patients with single bronchioles sign, 19 patients without adhesion with adjacent pleura, and 24 patients without mediastinal lymph node enlargement. Conclusion Bronchiolar adenomas usually occur in the middle-aged and elderly, mostly in the lower lobe of both lungs and the distribution of the peripheral lung field, most of the patients do not have any clinical symptoms, and the postoperative prognosis is good. CT may show large nodules or masses, pure ground-glass/mixed ground-glass nodules, irregular solid nodules and central small cavities. Irregular stellate nodules, central small cavity shadow, and single bronchiolar vascular bundle connected with the lesions are relatively specific imaging findings of bronchiolar adenoma.

Objective:To observe the impact of a home-based intervention based on video feedback on the social, cognitive and fine motor skills of children with autism spectrum disorder (ASD).Methods:Fifty children with ASD were randomly divided into a control group and an observation group, each of 25. In addition to conventional rehabilitation training, the control group received routine comprehensive family intervention, while the observation group′s family intervention used video feedback. Before and after 6 months, all of the children′s social, cognitive and fine motor skills were assessed using the Psychoeducational Profile instrument (PEP-3), an aberrant behavior checklist (ABC), the Childhood Autism Rating Scale (CARS), an autism treatment evaluation checklist (ATEC) and a neuropsychological development scale (CNDS) for children up to 6 years old.Results:Before the treatment there was no significant difference between the 2 groups in any of the measurements. Afterward, significant improvement was observed in all of the measurements in both groups. After the treatment, however, the experimental group′s average social interaction, cognition and personal self-care scores on the PEP-3 scale, as well as their average fine motor skill, adaptive capacity, language use and personal social ability were all significantly better than the control group′s averages. At the same time, the experimental group′s average ABC, CARS, communication, sensation, social ability and behavior results were significantly better.Conclusions:Video feedback can effectively improve family interventions stimulating the social and cognitive abilities of children with ASD, as well as their fine motor skills.