ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

ObjectiveTo investigate the hospice care needs of patients with end-stage renal disease， providing a reference for the implementation of hospice care in patients with end-stage renal disease. MethodsSemi-structured interviews were conducted with 13 patients with end-stage renal disease based on the 6S model， using the phenomenological method in qualitative study. Themes were refined using Colaizzi’s 7-step analysis method. ResultsSix themes were summarized， including the need for symptom control； psychological counseling； social support； maintaining self-subjectivity； expressing end-of-life wishes； and alleviating family grief. ConclusionThe hospice care needs of patients with end-stage renal disease are diverse. Addressing their discomfort symptoms， strengthening communication， and understanding the wishes and needs of patients and their families are conducive to improving the quality of life of patients with end-stage renal disease.

ObjectiveTo investigate the mechanisms by which the combination of berberine （BBR） and baicalin （BAI） ameliorates type 2 diabetes mellitus （T2DM） due to internal accumulation of dampness-heat from the perspectives of gut microbiota and metabolomics. MethodsAntibiotics were used to induce pseudo-sterile mice. Thirty pseudo-sterile mice were randomized into a normal fecal microbiota transplantation group （n=10） and a T2DM （syndrome of internal accumulation of dampness-heat） fecal microbiota transplantation group （n=20）. The mice were then administrated with suspensions of fecal microbiota from healthy volunteers and a patient with T2DM due to internal accumulation of dampness-heat by gavage， respectively. Each mouse received 200 µL suspension every other day for a total of 15 times to reshape the gut microbiota. The T2DM model mice were then assigned into a model group （n=8） and a BBR-BAI group （n=11）. BBR was administrated at a dose of 200 mg·kg^-1， and BAI was administrated in a ratio of BBR-BAI 10∶1 based on preliminary research findings. The administration lasted for 8 consecutive weeks. Fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， insulin （INS）， triglycerides （TG）， total cholesterol （CHOL）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） levels were measured to evaluate the effects of the BBR-BAI combination on glucose and lipid metabolism and liver function in T2DM mice. Hematoxylin-eosin staining was employed to observe pathological changes in the colon tissue. The expression of claudin-1， zonula occludens-1 （ZO-1）， and occludin in the colon tissue was determined by Western blot. Real-time quantitative polymerase chain reaction（Real-time PCR） was employed to assess the levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the colon tissue. The fecal microbiota composition and differential metabolites were analyzed by 16S rRNA sequencing and ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry （UPLC-Q-TOF-MS）， respectively. ResultsThe BBR-BAI combination lowered the FBG， HbA1c， and INS levels （P<0.05， P<0.01） and alleviated insulin resistance （P<0.01） in T2DM mice. Additionally， BBR-BAI elevated the levels of ZO-1， occludin， and claudin-1 （P<0.05， P<0.01） and down-regulated the expression levels of TNF-α， IL-1β， and IL-6 in the colon （P<0.05， P<0.01）. The results of 16S rRNA sequencing showed that BBR-BAI increased the relative abundance of Ligilactobacillus， Phascolarctobacterium， and Akkermansia （P<0.05）， while significantly decreasing the relative abundance of Alistipes， Odoribacter， and Colidextribacter （P<0.05）. UPLC-Q-TOF-MS identified 28 differential metabolites， which were primarily involved in arachidonic acid metabolism and α-linolenic acid metabolism. ConclusionBBR-BAI can ameliorate T2DM due to internal accumulation of dampness-heat by modulating the relative abundance of various bacterial genera in the gut microbiota and the expression of fecal metabolites.

Through data collection and collation combined with bibliometrics， this study conducted a series of textual research on Yanghetang， such as the name and origin， the evolution of prescription composition and modern clinical application. Yanghetang was first recorded in Bencao Yidu of WANG Ang in the Qing dynasty. In addition to Yanghetang， there were 3 bynames of Jiawei Yanghetang， Quanshengji Yanghetang and Zhenjun Yanghetang. Regarding the composition of the formula， a total of 4 versions of Yanghetang were collected. The first version is the 5 medicines version of Cervi Cornus Colla， Rehmanniae Radix Praeparata， Cinnamomi Cortex， Zingiberis Rhizoma and Ephedrae Herba in Bencao Yidu. The second version is the 7 medicines version of Waike Zhengzhi Quanshengji， changing Zingiberis Rhizoma to Zingiberis Rhizoma Praeparatum Carbonisata（ZRPC） and adding Sinapis Semen and Glycyrrhizae Radix et Rhizoma（GRR） on the basis of Bencao Yidu， and most of the Yanghetang is of this version. The third version is the 6 medicines version of Wushi Yifang Huibian， that is， on the basis of Bencao Yidu， Zingiberis Rhizoma is changed into ZRPC， and Sinapis Semen is added. The fourth version is the 6 medicines version in Yifang Jiedu， that is， on the basis of Bencao Yidu， Zingiberis Rhizoma is changed into Zingiberis Rhizoma Praeparatum， and GRR Praeparata cum Melle is added. Regarding the dose of Yanghetang， the doses of the medicines in Waike Zhengzhi Quanshengji was converted into the modern doses as follows：37.3 g of Rehmanniae Radix Praeparata， 1.87 g of Ephedrae Herba， 11.19 g of Cervi Cornus Colla， 7.46 g of Sinapis Semen， 3.73 g of Cinnamomi Cortex， 3.73 g of GRR， and 1.87 g of ZRPC. The origins of the above medicines are consistent with the 2020 edition of Chinese Pharmacopoeia. The processing specification of Rehmanniae Radix Praeparata is steaming method， ZRPC is ginger charcoal， Sinapis Semen is the fried products， and the rest of the medicines are raw products. The decoction method was verified by the decoction method in Chonglou Yuyao， which is similar in the time， and it is recommended that the above medicines should be added with 600 mL of water， decocted to 100 mL， and taken warmly 30 min after meal. For each dose， it is recommended to use 1-3 doses per day according to the doctor's advice in combination with clinical practice. The diseases involved in the ancient applications involved 42 diseases in 11 departments， including orthopedics， dermatology and gynecology， which were dominated by Yin-cold syndrome. However， the diseases involved in modern research also include 148 related diseases in 10 departments， such as orthopedics， obstetrics and gynecology， which is consistent with the ancient books. In recent years， the research hotspots of Yanghetang have focused on more than 10 fields， including osteoblasts， malignant tumors， wound healing， traditional Chinese medicine fumigation and so on， which are widely used. It is suitable for comprehensive research and development because of its rational formula composition， clear origin， processing and decoction method， and wide clinical application.

In this study， bibliometric methods were used to systematically investigate the name and origin， the evolution of prescription composition， dose evolution， origin and processing method， decoction method， ancient application， modified application， modern application and other information of Huoxiang Zhengqisan. After research， Huoxiang Zhengqisan， also known as Huoxiang Zhengqitang， was first recorded in Taiping Huimin Hejijufang. The original formula is composed of 41.3 g of Arecae Pericarpium， 41.3 g of Angelicae Dahuricae Radix， 41.3 g of Perilla frutescens（actually Perillae Folium）， 41.3 g of Poria， 82.6 g of Pinelliae Rhizoma， 82.6 g of Atractylodis Macrocephalae Rhizoma， 82.6 g of Citri Reticulatae Pericarpium（actually Citri Exocarpium Rubbum）， 82.6 g of Magnoliae Officinalis Cortex， 82.6 g of Platycodonis Radix， 123.9 g of Pogostemonis Herba， and 103.25 g of Glycyrrhizae Radix et Rhizoma. In this formula， Magnoliae Officinalis Cortex is processed according to the specifications for ginger-processed products， Glycyrrhizae Radix et Rhizoma is processed according to the specifications for stir-fried products， and other herbs are used in their raw products. The botanical sources of the herbs are consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. The above herbs are ground into a fine powder with a particle size passing through a No. 5 sieve. For each dose， take 8.26 g of the powdered formula， add 300 mL of water， along with 3 g of Zingiberis Rhizoma Recens and 3 g of Jujubae Fructus， and decoct until reduced to 140 mL. The decoction should be administered hot， with three times daily. To induce sweating， the patient should be kept warm under a quilt， and an additional dose should be prepared and taken if needed. This formula is traditionally used to relieve the exterior and resolve dampness， regulate Qi and harmonize the middle， which is mainly used to treat a series of diseases of digestive and respiratory systems. However， potential adverse reactions， including allergies， purpura and disulfiram-like reactions， should be considered during clinical use. Huoxiang Zhengqisan features a rational composition， extensive clinical application， and strong potential for further research and development.

In this study， bibliometric methods were used to systematically investigate the name and origin， the evolution of prescription composition， dose evolution， origin and processing method， decoction method， ancient application， modified application， modern application and other information of Huoxiang Zhengqisan. After research， Huoxiang Zhengqisan， also known as Huoxiang Zhengqitang， was first recorded in Taiping Huimin Hejijufang. The original formula is composed of 41.3 g of Arecae Pericarpium， 41.3 g of Angelicae Dahuricae Radix， 41.3 g of Perilla frutescens（actually Perillae Folium）， 41.3 g of Poria， 82.6 g of Pinelliae Rhizoma， 82.6 g of Atractylodis Macrocephalae Rhizoma， 82.6 g of Citri Reticulatae Pericarpium（actually Citri Exocarpium Rubbum）， 82.6 g of Magnoliae Officinalis Cortex， 82.6 g of Platycodonis Radix， 123.9 g of Pogostemonis Herba， and 103.25 g of Glycyrrhizae Radix et Rhizoma. In this formula， Magnoliae Officinalis Cortex is processed according to the specifications for ginger-processed products， Glycyrrhizae Radix et Rhizoma is processed according to the specifications for stir-fried products， and other herbs are used in their raw products. The botanical sources of the herbs are consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. The above herbs are ground into a fine powder with a particle size passing through a No. 5 sieve. For each dose， take 8.26 g of the powdered formula， add 300 mL of water， along with 3 g of Zingiberis Rhizoma Recens and 3 g of Jujubae Fructus， and decoct until reduced to 140 mL. The decoction should be administered hot， with three times daily. To induce sweating， the patient should be kept warm under a quilt， and an additional dose should be prepared and taken if needed. This formula is traditionally used to relieve the exterior and resolve dampness， regulate Qi and harmonize the middle， which is mainly used to treat a series of diseases of digestive and respiratory systems. However， potential adverse reactions， including allergies， purpura and disulfiram-like reactions， should be considered during clinical use. Huoxiang Zhengqisan features a rational composition， extensive clinical application， and strong potential for further research and development.

Lianggesan was first recorded in Taiping Huimin Heji Jufang， which was composed of Rhei Radix et Rhizoma， Natrii Sulfas， Gardeniae Fructus， Forsythiae Fructus， Scutellariae Radix， Glycyrrhizae Radix et Rhizoma（GRR）， Menthae Haplocalycis Herba， Lophatheri Herba and Mel. It was clinically applied to treat fire-heat syndrome in the upper and middle Jiao， and the curative effect was positive. In this study， the bibliometric method was used to conduct a detailed textual research on the formula name， medicinal composition， dosage evolution， origin and processing， functional indications and other aspects of Lianggesan. Research revealed that Lianggesan has six other names， such as Lianqiao Yinzi， Lianqiao Jiedusan， Jufang Lianggesan， Jiegu Lianggesan， Hejian Lianggesan and Qingji Lianggesan. Based on the edition of Taiping Huimin Heji Jufang， an analysis of the evolution of its formula composition revealed that the missing Chinese medicines were predominantly bamboo leaves and honey， while the added Chinese medicines were primarily supplements introduced to address changes in disease manifestations. After textual research， the dosage for one dose of Lianggesan from Taiping Huimin Heji Jufang was as follows：826 g of Rhei Radix et Rhizoma， 826 g of Natrii Sulfas， 826 g of GRR， 413 g of Gardeniae Fructus， 413 g of Menthae Haplocalycis Herba， 413 g of Scutellariae Radix， and 1652 g of Forsythiae Fructus. Decocting method was as following：Grinding the Chinese medicines into coarse powder（2-4 mm）， taking 8.16 g per dose， adding 300 mL of water， along with 2 g of Lophatheri Herba and 5 g of Mel， and decocting to 140 mL. The residue was removed and taken warmly 30 min after meals. It was recommended to take it three times daily until improvement was achieved. The origins of the 9 Chinese medicines were consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. Except for GRR， which required single frying（stir-frying）， the remaining medicines were all raw products. The description of the function of this formula in ancient books was summarized as purging fire and promoting bowel movements， clearing heat from the upper body and purging the lower body， and the main syndromes included facial redness， tongue swelling， red eyes， etc. In modern applications， the formula is primarily used for respiratory and digestive system diseases， including acute lung injury， chronic obstructive pulmonary disease， herpetic angina and aphthous stomatitis， covering 142 types of diseases. In summary， this paper can provide a basis for further research and development of Lianggesan through the literature review and key information combing.

The relevant laws and regulations regarding the utilization of the deceased as medical research subjects are not yet fully developed in China nowadays. Taking the deceased as research subjects as a starting point， this paper discussed the definition of the deceased and the scope of their interest protection from multiple perspectives. It posited that the scope of interest protection for the deceased encompassed two components： spiritual personality interests and material personality interests represented by the remains. The spiritual personality interests of the deceased included identification information such as name， portrait， reputation， honor， privacy， and personal information， as well as medical and health information. The personal information of the deceased was not directly affected by the individual’s life and death status and remained relatively independent. In terms of ethical review， the research team approached from two perspectives： the remains and the personal information of the deceased. Based on the standard of whether the research subjects involve a human body， research with the remains of the deceased as the medical research subjects was classified as non-clinical research. According to the standard of whether a human body is clinically operated， research with the personal information of the deceased （including medical and health information） as the medical research subjects was recognized as clinical research without human research operation. This approach provided evidence for the application of existing laws and regulations in ethical review and record management. The ethical review of investigator-initiated clinical research conducted in medical and health institutions， as well as the regulatory conditions for exemption from ethical review， were examined. The forms， content， and acquisition of informed consent were summarized， and the risk-benefit characteristics of the research activity were evaluated， with a view to providing a basis for the smooth and compliant implementation of research activities involving the deceased as medical research subjects.

Background Staff in biosafety laboratories (BSL) are more likely to experience occupational burnout and other psychological issues due to their unique working environment and high job demands. However, current research in this field tends to focus on overall analyses, overlooking the internal differences within this group. Objective To explore latent profiles of occupational burnout among BSL workers and their influencing factors, providing a reference for targeted burnout interventions. Methods In 2022, cluster random sampling was used to select 8023 BSL workers in Xinjiang. Data were collected via a questionnaire survey, including a self-designed general information questionnaire, the Maslach Burnout Inventory-General Survey (MBI-GS), and the Effort-Reward Imbalance (ERI) scale, to analyze demographic characteristics, occupational burnout, and job stress status. After data cleaning, latent profile analysis (LPA) was applied to identify burnout profiles, followed by K-means clustering for verification. Logistic regression was used to analyze influencing factors with burnout profiles as the dependent variable. Results After excluding invalid questionnaires, 7924 valid questionnaires were retained, with an recovery rate of 98.77%. The LPA results indicated that occupational burnout among BSL staff was categorized into three latent profiles: a low burnout profile (2208 individuals, 27.86%), a moderate burnout profile (4636 individuals, 58.51%), and a high burnout profile (1080 individuals, 13.63%). A similar grouping was derived from K-means clustering analysis (28.71%, 53.37%, and 17.92%), and a Sankey diagram demonstrated significant overlap between the two classification results. Statistically significant differences were observed across the three latent profiles in all three dimensions of burnout: emotional exhaustion, cynicism, and reduced personal accomplishment. The final logistic regression model revealed that the influencing factors exhibited characteristics of partial overlap and partial differentiation. Among the common influencing factors, the shared protective factors included: age ≥50 years (OR_{moderate burnout}=0.42, OR_{high burnout}=0.45), monthly income of 4000-6000 RMB (OR_{moderate burnout}=0.83, OR_{high burnout}=0.71), good sleep quality (OR_{moderate burnout}=0.70, OR_{high burnout}=0.13) and very good sleep quality (OR_{moderate burnout}=0.51, OR_{high burnout}=0.12), and engaging in physical exercise ≥5 times per week (OR_{moderate burnout}=0.74, OR_{high burnout}=0.48). The protective effects were more pronounced for the high burnout profile. The common risk factors included: 21–30 years of service (OR_{moderate burnout}=1.38, OR_{high burnout}=3.00), ≥31 years of service (OR_{moderate burnout}=1.47, OR_{high burnout}=3.39), working in "other positions" (OR_{moderate burnout}=1.46, OR_{high burnout}=1.56), and occupational stress (ERI>1) (OR_{moderate burnout}=2.62, OR_{high burnout}=3.25), with the risk effects being more significant for the high burnout profile. Regarding differentiated influencing factors, protective factors exclusively associated with the moderate burnout profile included having an associate degree (OR=0.70) and engaging in physical exercise 3-4 times per week (OR=0.74). For the high burnout profile, exclusive protective factors included age 40-50 years (OR=0.56), while exclusive risk factors included having a senior professional title (OR=1.85), holding a managerial role (OR=1.78), a high number of night shifts per month (OR=2.66), and a very high number of night shifts per month (OR=3.93). Conclusion BSL workers exhibit three distinct latent burnout profiles. Occupational burnout requires greater attention, and targeted prevention and intervention strategies should be developed based on worker subtypes.