ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the efficacy of laparoscopic partial splenectomy and devascularization (LPSPD), open partial splenectomy and devascularization (OPSPD), laparoscopic total splenectomy and devascularization (LTSPD), and open total splenectomy and devascularization (OTSPD) in the treatment of portal hypertension.Methods:Clinical data of 128 patients with portal hypertension admitted to the Department of Hepatobiliary and Pancreatic Surgery of the Affiliated Hospital of Qinghai University and the General Surgery Department of the Fifth Medical Center of the Chinese PLA General Hospital from May 2018 to May 2022 were retrospectively analyzed, including 69 males and 59 females, aged 51.0±10.9 years. According to different surgical methods, patients were divided into four groups, namely the LPSPD group ( n=30), the OPSPD group ( n=32), the LTSPD group ( n=31), and the OTSPD group ( n=35). Operation time, postoperative hospitalization time, postoperative complications such as newly occurred PVT, etc of the four groups of patients were compared. Results:The operation times of the LPSPD, OPSPD, LTSPD and OTSPD group were 240.0 (180.0, 399.0), 209.5 (169.0, 259.0), 207.0 (175.3, 297.5) and 200.0 (162.0, 264.0) minutes, respectively. The postoperative hospital stays were 8.0 (7.0, 12.0), 10.0 (8.3, 11.8), 11.0 (9.0, 13.0) and 13.0 (11.0, 15.0) days, respectively. The incidences of newly occurred PVT after surgery were 3.3% (1/30), 3.1% (1/32), 19.4% (6/31), and 20.0% (7/35), respectively. The above indicators were compared among the four groups respectively, and the differences were statistically significant (all P<0.05). The postoperative hospital stay of the LPSPD group was shorter than that of the LTSPD group [8.0 (7.0, 12.0) vs 11.0 (9.0, 13.0), d, Z=-3.93], and the postoperative hospital stay of the OPSPD group was also shorter than that of the OTSPD group [10.0 (8.3, 11.8) vs 13.0 (11.0, 15.0), d, Z=-3.56; all P<0.001]. The incidence of newly occurred PVT after surgery in the partial splenectomy group (LPSPD and OPSPD) was 3.2% (2/62), which was lower than that in the total splenectomy group [LTSPD and OTSPD, 19.7% (13/66), χ2=8.38, P=0.004]. Conclusion:Compared to total splenectomy, partial splenectomy might be favorable for the shortened postoperative hospital stay and lower incidence of newly occurred portal vein thrombosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Nitrofurantoin(NFT)is a nitrofuran antibiotic commonly used as a veterinary drug to treat bacterial infections in animals.However,due to the low solubility and bioaccumulation properties,NFT is prone to leave excessive residues in animal-derived foods and water systems,posing serious threats to human health and ecosystems.Therefore,there is an urgent need to develop an efficient and rapid detection method for NFT.In this work,nitrogen-doped carbon nanomaterials with unique bowl-like structures(N-CNBs)were synthesized via a hydrothermal-carbonization method.The morphology,surface structure,and specific surface area of N-CNBs were characterized using transmission electron microscopy(TEM),scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS).The N-CNB modified glassy carbon electrode(N-CNB/GCE)was prepared,and the electrochemical test revealed that the N-CNB/GCE exhibited higher conductivity and larger electrochemical active surface area compared to bare GCE and nitrogen-doped hollow carbon nanosphere-modified electrode(N-HCNS/GCE).Additionally,the N-CNB/GCE demonstrated superior electrocatalytic activity toward NFT.An NFT electrochemical sensor was constructed based on N-CNB/GCE.The detection conditions of the sensor were optimized,and differential pulse voltammetry(DPV)was employed for NFT detection under optimal experimental conditions.The established NFT electrochemical sensor had a wide linear range of 0.4-500 μmol/L,a low detection limit(S/N=3)of 0.015 μmol/L and high selectivity,with excellent stability and reproducibility.The practical feasibility of this sensor was confirmed by analysis of NFT in milk and tap water samples,with spiked recoveries ranging from 94.2%to 108.9%.

China is facing the double burden of high incidence of lung cancer and tuberculosis epidemic. Lung cancer combined with tuberculosis has a high incidence and complexity in clinical practice. High-risk groups include immunocompromised people, long-term smokers and people with a history of tuberculosis. The coexistence of the two diseases not only increases the difficulty of diagnosis and treatment decision-making, but also increases the risk of treatment-related adverse reactions and drug interactions. The guideline was developed by Committee of Integrated Rehabilitation for Lung Cancer, Chinese Anti-Cancer Association; Chinese and Western Integrated Lung Cancer Committee of Chinese Anti-Cancer Association; Society of Tuberculosis, Chinese Medical Association, aiming to standardize the diagnosis and treatment of lung cancer complicated with pulmonary tuberculosis. The guideline emphasizes the core position of combined diagnosis of multimodal imaging, etiology and pathology. It is proposed that anti-tuberculosis and anti-tumor treatment should be coordinated under the framework of multidisciplinary team, and drug interactions and timing optimization should be paid attention to. For surgical treatment, minimally invasive resection combined with systematic lymph node dissection is recommended after infection control. Systemic therapy requires individualized risk stratification and dynamic monitoring of efficacy and adverse reactions. Based on evidence-based medicine and Chinese clinical practice, combined with the accessibility of drugs and technologies, this guideline proposes a whole-process management pathway covering screening, diagnosis, treatment and follow-up, in order to improve the prognosis and quality of life of patients.

Objective:To analyze the efficacy of laparoscopic partial splenectomy and devascularization (LPSPD), open partial splenectomy and devascularization (OPSPD), laparoscopic total splenectomy and devascularization (LTSPD), and open total splenectomy and devascularization (OTSPD) in the treatment of portal hypertension.Methods:Clinical data of 128 patients with portal hypertension admitted to the Department of Hepatobiliary and Pancreatic Surgery of the Affiliated Hospital of Qinghai University and the General Surgery Department of the Fifth Medical Center of the Chinese PLA General Hospital from May 2018 to May 2022 were retrospectively analyzed, including 69 males and 59 females, aged 51.0±10.9 years. According to different surgical methods, patients were divided into four groups, namely the LPSPD group ( n=30), the OPSPD group ( n=32), the LTSPD group ( n=31), and the OTSPD group ( n=35). Operation time, postoperative hospitalization time, postoperative complications such as newly occurred PVT, etc of the four groups of patients were compared. Results:The operation times of the LPSPD, OPSPD, LTSPD and OTSPD group were 240.0 (180.0, 399.0), 209.5 (169.0, 259.0), 207.0 (175.3, 297.5) and 200.0 (162.0, 264.0) minutes, respectively. The postoperative hospital stays were 8.0 (7.0, 12.0), 10.0 (8.3, 11.8), 11.0 (9.0, 13.0) and 13.0 (11.0, 15.0) days, respectively. The incidences of newly occurred PVT after surgery were 3.3% (1/30), 3.1% (1/32), 19.4% (6/31), and 20.0% (7/35), respectively. The above indicators were compared among the four groups respectively, and the differences were statistically significant (all P<0.05). The postoperative hospital stay of the LPSPD group was shorter than that of the LTSPD group [8.0 (7.0, 12.0) vs 11.0 (9.0, 13.0), d, Z=-3.93], and the postoperative hospital stay of the OPSPD group was also shorter than that of the OTSPD group [10.0 (8.3, 11.8) vs 13.0 (11.0, 15.0), d, Z=-3.56; all P<0.001]. The incidence of newly occurred PVT after surgery in the partial splenectomy group (LPSPD and OPSPD) was 3.2% (2/62), which was lower than that in the total splenectomy group [LTSPD and OTSPD, 19.7% (13/66), χ2=8.38, P=0.004]. Conclusion:Compared to total splenectomy, partial splenectomy might be favorable for the shortened postoperative hospital stay and lower incidence of newly occurred portal vein thrombosis.

Aim To explore the effects of Lycium berry seed oil on Nrf2/ARE pathway and oxidative damage in testis of subacute aging rats. Methods Fifty out of 60 male SD rats, aged 8 weeks, were subcutaneously injected with 125 mg • kg"D-galactosidase in the neck for 8 weeks to establish a subacute senescent rat model. The presence of senescent cells was observed using P-galactosidase ((3-gal), while testicular morphology was examined using HE staining. Serum levels of testosterone (testosterone, T), follicle-stimulating hormone ( follicle stimulating hormone, FSH ) , luteinizing hormone ( luteinizing hormone, LH ) , superoxide dis-mutase ( superoxide dismutase, SOD ) , glutathione ( glutathione, GSH) and malondialdehyde ( malondial-dehyde, MDA) were measured through ELISA, and the expressions of factors related to aging, oxidative damage, and the Nrf2/ARE pathway were assessed via immunohistochemical analysis and Western blotting. Results After successfully identifying the model, the morphology of the testis was improved and the intervention of Lycium seed oil led to a down-regulation in the expression of [3-gal and -yH2AX. The serum levels of SOD, GSH, T, and FSH increased while MDA and LH decreased (P 0. 05) . Additionally, there was an up-regulated expression of Nrf2, GCLC, NQOl, and SOD2 proteins in testicular tissue ( P 0. 05 ) and nuclear expression of Nrf2 in sertoli cells. Conclusion Lycium barbarum seed oil may reduce oxidative damage in testes of subacute senescent rats by activating the Nrf2/ARE signaling pathway.