Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Acute myeloid leukemia (AML) is a malignant clonal disease of hematopoietic stem cells, characterized by the proliferation of abnormal primordial cells of myeloid origin in bone marrow, blood and other tissues. At present, the standard induction therapy for AML mainly includes “3+7” standard treatment(anthracycline combined with cytarabine), allogeneic hematopoietic stem cell transplantation (Allo-HSCT) and targeted drug therapy. However, AML cells usually express high levels of P-glycoprotein, which mediates the efflux of chemotherapeutic drugs, which makes AML cells resistant to chemotherapy, resulting in many patients who are not sensitive to chemotherapy or relapse after complete remission. And some patients can not tolerate intensive therapy or lack of donors and can not use Allo-HSCT therapy. Therefore, it is of great clinical significance to find new drugs to improve the efficacy of AML patients. Epigenetic disorders play a key role in the pathogenesis of many diseases, especially cancer. Studies have shown that most AML patients have epigenetic regulatory gene mutations, such as DNMT3A, IDH and TET2, and these mutations are potentially reversible, which has become one of the therapeutic targets of AML. Histone deacetylase inhibitors (HDACi) can regulate the balance between histone acetylation and deacetylation, change the expression of proto-oncogenes or tumor suppressor genes that control cancer progression from epigenetics, and play an important role in many kinds of tumor therapy. At present, HDACi has shown the ability to induce differentiation, cell cycle arrest and apoptosis of AML cells. The mechanism may be mainly related to HDACi inducing chromatin conformation opening of tumor suppressor gene by inhibiting HDAC activity, promoting oncogene damage and preventing oncogene fusion protein from recruiting HDAC. Although the preclinical outcome of HDACi is promising, it is not as effective as the conventional therapy of AML. However, the combination strategy with various anticancer drugs is in clinical trials, showing significant anti-AML activity, improving efficacy through key targeting pathways in a typical synergistic or additive way, increasing AML sensitivity to chemotherapy, reducing tumor growth and metastasis potential, inhibiting cell mitotic activity, inducing cell apoptosis, regulating bone marrow microenvironment, which provides a good choice for the treatment of AML. Especially for those AML patients who are not suitable for intensive therapy and drug resistance to chemotherapy. This review introduces the relationship between HDAC and cancer; the classification of HDAC and its function in AML; the correlation between HDAC and AML; the clinical application of five types of HDACi; preclinical research results and clinical application progress of six kinds of HDACi in AML, such as Vrinota, Belinostat, Panobinostat, Valproic acid, Entinostat, and Chidamide, the mechanism of HDACi combined with other anticancer drugs in AML indicates that the current HDACi is mainly aimed at various subtypes of pan-HDAC inhibitors, with obvious side effects, such as fatigue, thrombocytopenia, nausea, vomiting, diarrhea. In recent years, the next generation of HDACi is mainly focused on the selectivity of analogues or isomers. Finding the best combination of HDACi and other drugs and the best timing of administration to balance the efficacy and adverse reactions is a major challenge in the treatment of AML, and the continued development of selective HDACi with less side effects and more accurate location is the key point for the development of this drug in the future. It is expected to provide reference for clinical treatment of AML.

[Objective] To investigate the correlation between human leukocyte antigen (HLA) gene polymorphism and hepatitis B virus (HBV) infection. [Methods] Venous blood samples were collected from 501 healthy individuals undergoing physical examinations at Yan’an Hospital in Kunming, Yunnan Province. Enzyme linked immunosorbent assay (ELISA) was used to detect HBV halves. Based on the results of HBV half detection, the patients were divided into three groups: HBV carrier group, previous infection group, and healthy control group. The HLA-A antigen genotype was detected using polymerase chain reaction with sequence specific primers (PCR-SSP) genotyping technology, and the distribution frequency of HLA-A gene polymorphism was compared between HBV carrier group and healthy control group, as well as between previous infection group and healthy control group. SPSS17.0 software was used for data statistical analysis. [Results] In the healthy control group, the HLA-A2 positivity rate was 47.49%, and the allele frequency was 31.29%.The overall frequency of gene distribution in the healthy control group was consistent with the HLA-A allele table commonly and confirmed in China published by the Chinese Bone Marrow Bank. The HLA-A2 positivity rate and allele frequency in the HBV carrier group were 63.04% and 42.23%, respectively; The difference in HLA-A2 positivity rate and allele frequency among carriers was statistically significant (P<0.05). the HLA-A2 positivity rate and allele frequency in the HBV previous infection group were 56.14% and 35.97%, respectively, which did not significantly differ from those in the healthy control group (P>0.05). [Conclusion] HLA-A2 gene may be a susceptibility gene for chronic hepatitis B HBV carriers.

Purpose Focusing on the characteristics of for-malin fixed paraffin embedded(FFPE)samples,explored nano-magnetic bead nucleic acid extraction solutions with higher qual-ity/yield and continued to improve molecular pathology technolo-gy.Methods Alternative magnetic beads were synthesised in four major categories and 15 sub-categories and we screened to obtain high-quality/yield magnetic beads centred on FFPE samples.Simulated conventional tissues,simulated coarse needle punctures(liver),and simulated fiberoptic bronchoscopy sam-ples(lungs)were sectioned with the same number of serial slices in tubes.The nucleic acids of slices were extracted using the best magnetic beads screened in this study and common com-mercially available kits,and then perform comparison and purifi-cation quality parameters such as total amount and fragment size.The downstream applications of nucleic acids were validated by PCR and Sanger sequencing.Results Screening all homemade nanomagnetic beads centered on the DNA of FFPE samples,the total recoveries of the best performance nanomagnetic beads were obtained to be 58.5％±1.58％,and the total recoveries of five commercially available commercial magnetic beads and three do-mestic kit magnetic beads ranged from 18.68％to 40.71％.The total amount of DNA(ng)extracted from the same amount of tis-sue(serial slices),the nucleic acid yield of this study in simu-lated conventional tissues,simulated coarse needle punctures,and simulated fiberoptic bronchoscopy samples were increased by 39.49％-181.72％compared with those of the commercially a-vailable kits(P＜0.05).The total amount of extracted nucleic acid from simulated fiberoptic bronchoscopy tissue sections can be more than 100 ng for 1 slice(4 μm)and more than 400 ng for 5 slices.Conclusion The DNA purification nanomagnetic beads screened with DNA from FFPE samples have a significant enhancement comparing to the existing commercial bead proto-cols,and provide space for quality assurance,automated testing,and program expansion for clinical molecular pathology testing.

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 In order to shorten the transparency time of clear,unobstructed brain imaging cocktails and computational analysis(CUBIC),improve the transparency efficiency,and explore the possibility of applying hydrophilic tissue transparency technique,this study was conducted to optimize the perfusion of CUBIC technique and compare it with four hydrophilic tissue clearing method in terms of tissue transparency effect,transparency time,area change,volume change and adeno-associated virus(AAV)fluorescence retention.Methods Brain,liver,spleen and kidney of 6 adult Institute of Cancer Research(ICR)mice were subjected to clearing treatment by SeeDB,FRUIT,ScaleS and CUBIC method,respectively.The area and gray value of the samples were measured by Image J 1.8.0,and the volume before and after transparency was measured by drainage method to compare the transparency effect,time and size deformation of each group.Perfusion optimization of the CUBIC was performed by improving the perfusion rate with the optimal perfusion dose,each group of the experimental sample size was 6.Fluorescence preservation by different techniques was evaluated by injecting AAV in the motor cortex of 16 adult mice and taking the cervical spinal segments for transparency treatment after four weeks,and the fluorescence photographs were measured by Image J 1.8.0 to measure the mean fluorescent intensity.Results The optimal perfusion rate and dose of CUBIC was 15 ml/min and 200 ml respectively.For transparency ability and speed,the perfusion CUBIC had the lowest mean gray value and took the shortest time,while CUBIC consumed the longest time,and SeeDB,FRUIT,and ScaleS did not show good transparency ability.In terms of area and volume changes,several techniques showed different degrees of expansion after transparency of tissues or organs.In terms of fluorescence retention,perfusion CUBIC showed the best retention of green fluorescent protein(GFP)fluorescence signal,followed by CUBIC,ScaleS,FRUIT,and SeeDB.Conclusion Perfusion CUBIC technique shows the best tissue transparency,the shortest transparency time,and the most AAV fluorescence retention compared with other techniques.

Objective To investigate the expression levels of plasma circular RNA PTP4A2(circPTP4A2)and circTLK2 in elderly patients with acute ischemic stroke(AIS)and their predic-tive value for neurological functional outcomes.Methods A total of 122 elderly AIS patients admitted to our department from May 2021 to December 2022 were prospectively recruited,and according to their modified Rankin Scale(mRS)score at 3 months after stroke onset,they were divided into a good outcome group(mRS score≤2,81 cases)and a poor outcome group(mRS score:3-6,41 cases).Their baseline data,and plasma circPTP4A2 and circTLK2 levels were compared between the two groups.Multivariate logistic regression analysis was employed to iden-tify prognostic factors for poor outcomes in the elderly AIS patients.ROC curve analysis was ap-plied to evaluate the prognostic value of circPTP4A2 and circTLK2 for adverse outcomes in the patients.Pearson correlation analysis was performed to assess the relationship of plasma levels of circPTP4A2 and circTLK2 with NIHSS score,as well as mRS score.Results The plasma expres-sion levels of circPTP4A2 and circTLK2 were significantly higher in the poor outcome group than the good outcome group[2.08(0.87,2.77)vs 0.93(0.63,1.20),1.71(0.92,2.80)vs 0.75(0.49,1.09),P＜0.01].Multifactor logistic regression analysis showed that plasma circPTP4A2 and circTLK2 were independent predictive factors for poor functional outcomes in elderly AIS patients(P＜0.01,P＜0.05).ROC curve analysis demonstrated that the AUC value of combined circPTP4A2 and circTLK2 in predicting poor outcome in elderly AIS patients was 0.787(95％CI:0.691-0.883).Pearson correlation analysis revealed that the expression levels of circPTP4A2 and cir-cTLK2 in elderly AIS patients were mildly positively correlated with baseline NIHSS scores(r=0.463,r=0.456;P＜0.01)and moderately positively correlated with mRS scores at 3 months after stroke onset(r=0.682,r=0.604;P＜0.01).Conclusion Plasma circPTP4A2 and circTLK2 may be potential biomarkers for predicting neurological functional outcomes in elderly AIS patients.

Objective:Under the background of "new medical science", to construct a whole-process education path with "education as the driving force - moral cultivation as the core", and to provide a decision-making basis for the reform, innovation, and development of humanistic quality education in medical colleges.Methods:Five-year clinical medical students (freshman to fifth graders) from Qiqihar Medical University were selected as the research objects. The evaluation model and questionnaire of humanistic quality of clinical medical students were constructed by literature analysis. The Questionnaire Star platform was used to investigate and collect data by random sampling of clinical medical undergraduates, and the data results were analyzed by SPSS 26.0 to explore the path of building the whole-process education.Results:The empirical research on the cultivation of humanistic quality of medical students showed that the average humanistic attitude score of medical students was (3.47±0.75) points. From the perspective of gender, the scores of humanistic cognition, attitude, and behavior of male students were 2.81, 3.68, and 3.22 points, respectively, which were all significantly higher than those of female students (2.52, 3.22, and 2.95 points, respectively) ( P<0.05). The data from freshmen to the fifth graders showed that humanistic cognition, attitude, and behavior scores all presented an increasing trend with the grade. Using the "Knowledge, Attitude/Belief, Practice" model, it was found that the cognitive rate of humanistic quality of medical students was relatively ideal, and the awareness rate of medical students in different grades was different. The cross analysis showed that the effect of ideological morality and political literacy education on medical students in medical colleges had a significant cross-relationship with multiple choice questions. Conclusion:The humanistic quality of clinical medical students needs to be improved, and the cultivation of medical humanistic quality should run through the whole process from the first year to the fifth year, so as to improve the comprehensive training of professional ability and promote the all-round development of medical students.

ObjectiveTo construct the physical activity intervention effect category and framework for college students with mental and behavioral health and functioning problems based on International Classification of Functioning, Disability, and Health (ICF). MethodsThe typical mental and behavioral health and functioning condition of college students were systematically analyzed using ICF. Relevant literatures about the health and functioning outcomes of college students participating in physical activity were retrieved from the databases of PubMed, Web of Science, EBSCO, and CNKI, from the establishment to August 20th, 2022, and reviewed systematically. ResultsTen English literatures were included, involving ten randomized controlled trials with 848 participants aged 15 to 34 years from seven countries, mainly from the journals of rehabilitation science, sports rehabilitation, rehabilitation psychology and health psychology, and were mainly published after 2016. The typical mental and behavioral health and functioning problems of college students mainly focused on stress, anxiety, depression, sleep disorders, learning fatigue, mobile phone addiction, alcohol drinking disorder, sedentary behavior and physical inactivity. Physical activity interventions included Biodanza, Hatha Yoga, Tai Chi, basketball, Baduanjin, cycling, swimming, roller skating, baseball, skill training, stretching exercise, resistance training, and aerobic exercise, etc. The frequency of interventions was mainly a long-term (four to 14 weeks, one to three times per week) program of high-, moderate-, or low-intensity physical activity. The health outcomes included improving cognitive function, relieving stress, anxiety, depression and learning fatigue, reducing negative automatic thinking, enhancing mindfulness, reducing loneliness and deficiency, improving sleep quality, improving upper limb muscle endurance; promoting the development of exercise habits, increasing physical activity participation, improving activity performance and academic performance, reducing sedentary behavior, drinking behavior and problematic mobile phone use; increasing social interaction, improving health perception and psychosocial function, enriching and improving recreation and campus life, and improving the quality of interpersonal relationships, quality of life and well-being. ConclusionA conceptual framework of physical activity participation of college students with mental and behavioral health and functioning problems is constructed using ICF. The typical mental and behavioral health and functioning problems of college students are mainly classified as mental health and functioning problems, behavioral health and functioning problems. The intervention types of physical activity are divided into physical fitness category, skill category, sports category and combination category. Health outcomes can be reflected in three dimensions: physical and mental health, activity and behavioral health, and overall functioning and quality of life.