To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

To develop a milestone-based evaluation system for the core "knowledge and skills" competency of neurology residents that is tailored to China's medical context, so as to provide precise guidance for their training and assessment.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective:To explore the safety and efficacy of intrasaccular flow disruptor in intracranial aneurysms, including wide-necked aneurysms.Methods:A retrospective analysis was performed; 102 patients with intracranial aneurysms treated with intrasaccular flow disruptor at Department of Neurointervention, First Affiliated Hospital of Zhengzhou University from August 2022 to November 2024 were enrolled; their clinical and imaging data were collected. The aneurysm characteristics and perioperative complications were summarized; aneurysm occlusion was evaluated by Woven EndoBridge occlusion scale (WOS) immediately after surgery and during the follow-up period.Results:Among the 102 aneurysms, 33 were anterior cerebral artery aneurysms, 40 were middle cerebral artery aneurysms, 17 were internal carotid artery aneurysms and 12 were basilar artery aneurysms; 73 aneurysms were regular intracranial saccular aneurysms and 29 were irregular saccular ones (17 of them with daughter sacs); 12 aneurysms were ruptured at acute phase. The surgical success rate was 100%: single intrasaccular flow disruptor was implanted into 95 patients, and stent-assisted or salvage treatments were given to 7 patients). Immediately after surgery, WOS grading A was noted in 5 patients, grading B in 7, grading C in 31, and grading D in 59. Two patients suffered severe perioperative complications and passed away: one patient died for ischemic complications that ensued after stent salvage treatment (parent artery being compressed by intrasaccular flow disruptor); the other patient died for hemorrhagic complications triggered by rupture of an initially unruptured aneurysm following intrasaccular flow disruptor implantation. Among them, 52 patients completed postoperative DSA follow-up, with a median follow-up of 205 (168, 292) days; WOS grading A was noted in 31 patients, grading B in 9, grading C in 8, and grading D in 4 at the last follow-up; the full occlusion rate was 92.3%, and no ischemic or hemorrhagic adverse events occurred.Conclusion:Intrasaccular flow disruptor shows high short-term safety and good efficacy in the treatment of intracranial aneurysms.

Objective:To find out about the sentiment about the current physical training among Air Force pilots (cadets), propose methods for optimizing their programs of physical training, and to enhance the effectiveness of training in order to improve flight adaptability.Methods:A total of 1 135 pilots (cadets) were randomly selected as the subjects and divided into 3 groups according to types of aircraft and types of personnel: group A (pilots of fighters, bombers and advanced trainers), group B (pilots of fighter bombers, transporters, helicopters, special aircraft and junior trainers), and group C (flying cadets). A questionnaire survey was conducted to collect data on current physical training among pilots and flying cadets.Results:A total of 1 135 questionnaires were distributed, with 1 086 valid responses collected, yielding an effective response rate of 95.68%. Of the 1 086 participating pilots (cadets), 209 were in Group A, 499 in Group B, and 378 in Group C.There was statistically significant difference in the frequency and duration of weekly physical training between the 3 groups ( χ2=82.23, 61.56, both P<0.001). The proportion of participants engaging in >3 h weekly physical training sessions was significantly higher in group C (71.7%) than in group A (38.8%) and group B (44.9%). Significant differences were observed in weekly training durations between group C and group A (all P<0.05), as well as between group C and group B in the training durations of <3 h and 5-7 h (all P<0.05). The percentage of subjects who trained for 5-7 h per week was the highest in group C (41.5%). In groups A and B, pilots mostly trained for 3-<5 h per week (51.7% and 39.9%, respectively). The survey on the willingness to adjust training programs revealed statistically significant differences between the 3 groups in their willingness to engage in muscle strength training, coordination training, specific ability training, and adjustment of intensities of core training ( H=46.23, 16.12, 22.03, 60.68, all P<0.001). No significant difference was observed in their willingness to have aerobic training programs adjusted ( P>0.05). Group C was significantly different from groups A and B in their preference for adjustment in training programs related to muscle strength, coordination, specific abilities, and in core training programs (all P<0.01). Group C was mostly in favor of "increasing" muscle strength, coordination, and core training while opting for "no change" in aerobic training and specific ability training. Groups A and B preferred "no change". Regarding their willingness to have training intensities revised, statistically significant differences were observed between the 3 groups ( H=15.58, 19.08, 8.17, 58.01, P<0.001, <0.001, =0.017, <0.001), but no significant difference was found in their preference for adjustment of aerobic training intensities ( P>0.05). Group C showed much more preference for intensity adjustment related to muscle strength, coordination, specific abilities, and core training programs than groups A and B (all P<0.05 or 0.01). All the 3 groups predominantly favored "no change" in training intensities. Conclusions:Pilots of different aircraft types generally meet the requirements of the current physical training programs. However, the frequency of physical training for pilots (cadets) requires more rigorous supervision. Flying cadets can adaptively engage in targeted training programs. Pilots of fighters, fighter bombers and advanced trainers should care about the intensity of aerobic training while giving more weight to load resistance physical training. Pilots of other types of aircraft should devote more effort to core training programs.

Objective To explore the effect of early weight-bearing functional exercise on the postoperative function and satisfaction of patients with anterior talofibular ligament rupture.Methods Sixty patients with anterior talofibular ligament rupture admitted to Nanchang Hongdu Hospital of Traditional Chinese Medicine from June 2022 to June 2024 were included.According to the random number table method,the patients were divided into conventional group and early weight-bearing group,with 30 cases in each group.The American Orthopedic Foot and Ankle Society ankle-hindfoot scale(AOFAS-AHS)scores,Cumberland ankle instability tool(CAIT)scores,joint position sense active(JPSA)and joint position sense passive(JPSP)of ankle joint before and after the operation,and postoperative satisfaction of two groups of patients were compared.Results Six months after the operation,the AOFAS-AHS scores and CAIT scores of two groups were significantly higher than those before the operation,and the JPSA and JPSP were significantly lower than those before the operation(P＜0.05).The AOFAS-AHS score and CAIT score of patients of early weight-bearing group were significantly higher than those of conventional group,while the JPSA and JPSP were significantly lower than those of conventional group(P＜0.05).The satisfaction rate of patients of early weight-bearing group was significantly higher than that of conventional group(76.6％vs.66.6％,x2=6.205,P＜0.001).Conclusion Early weight-bearing functional exercise can improve the postoperative function of patients with anterior talofibular ligament rupture and enhance their postoperative satisfaction.