Based on the theory of evidence-based medicine （EBM）， this paper systematically constructed a multi-dimensional evaluation framework for traditional Chinese medicine （TCM） appropriate technologies， encompassing three core dimensions including evidence， practitioner， and patient. For the current practical challenges in the promotion of TCM technologies such as lack of high-quality evidence， inconsistent operational standards， and varying patient acceptance， the paper proposed the integration of published literature evidence and real-world research data to construct a scientific and applicable evaluation pathway. Regarding the evidence dimension， it emphasizes syste-matic assessment of effectiveness， safety， and economic efficiency， introducing methods like the target trial emulation framework to enhance evidence quality； for the practitioner dimension， it suggests developing multi-aspects competency evaluation tools based on educational background， training assessment， and clinical outcomes； for the patient dimension， it recommends designing patient acceptance assessment tools by considering factors such as technical characte-ristics， expected efficacy， patient-practitioner interaction， and the availability of alternative treatments. The purpose of the above measures is to provide methodological support for the standardized popularization and precision application of TCM appropriate technologies.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Objective To investigate the kinematic patterns of gate-turning techniques in sitting alpine skiing at the Winter Paralympic Games and their impacts on skiing performance.Methods Using drone footage and inertial sensor technology,kinematic data were collected from 11 alpine sit-skiers preparing for the Winter Paralympics.Key technical indicators such as turning radius,skiing speed,and trajectory length were analyzed for their relationship with skiing performance.Results The minimum turning radius during gate turns was(15.80±3.55)m,and turning radius showed a significant positive correlation with skiing time(r=0.40,P=0.02)and trajectory length(r=0.88,P＜0.01).The maximum skiing speed was(16.92±1.60)m/s,which was strongly negatively correlated with total skiing time(P＜0.01).Exit speed was also significantly positively correlated with total skiing distance(P＜0.05).Additionally,single-gate technical characteristics(such as turning radius and speed variation),were strongly reflective of overall skiing performance.Conclusions Optimizing turning radius and minimizing speed loss are critical for improving skiing efficiency.Single-gate kinematic analysis provides a scientific basis for overall technique optimization and offers valuable guidance for training and competition strategy design.

Objective:To design a set of simulation system for surgical operation based on virtual reality(VR)technique and intelligent scoring functions,so as to assess its clinical application effect.Methods:The Digital Imaging and Communications in Medicine(DICOM)images of typical patients were collected.Materialise Interactive Medical Image Control System(MIMICS)software was adopted to reconstruct the three-dimensional(3D)model of diseased organs.Surgical instrument models were constructed by using 3D Max software.Unity 3D software was adopted to construct simulation system for surgical operation with VR+intelligent scoring.A total of 40 surgical resident physicians,who were employed with 3 years since 2019 in The Second Affiliated Hospital of Kunming Medical University,were selected.They were divided into observation group and control group,with 20 cases in each group.The observation group used simulation system for surgical operation to conduct intelligent scoring for cholecystectomy under laparoscope,and the control group used conventional scoring for surgical operation.The scores of surgical operation and test between the two groups were compared.Results:The mean value of surgical operation time of the observation group was(1.72±0.41)h,and the average incidence of complication was(0.03±0.02)%,both of them of the observation group were significantly lower than those of the control group[(2.25±0.42)h and(0.05±0.03)%].The differences of them between two groups were statistically significant(t=9.00,4.08,P<0.05).The test scores of surgical operation of the observation group was also significantly higher than that of the control group(t=5.26,P<0.001).Conclusion:The developed simulation system for surgical operation with VR+intelligent scoring can significantly enhance users'surgical operation skills and improve learning outcomes,which has favorable prospects in future applications.

Infection has brought huge disasters and heavy economic burdens to human health. With the continuous expansion of the global antimicrobial resistance crisis, more people will face threats to their lives. Considering the numerous problems existing in traditional antibiotic anti-infection strategies and the many challenges faced by the new non-antibiotic anti-infection strategies under development, it is urgent to explore a new approach to deal with the current situation now. Based on the results of previous research, some scholars have made significant progress in the field of antibacterial by taking advantage of the chemotactic tendency characteristics of bacteria, and proposed that chemotactic sterilization will be a new strategy. As an active inducement strategy, it does not cause bacteria to develop drug resistance and can completely eliminate bacteria while avoiding tissue damage. It will be an effective means for future anti-infection research. This article reviews the existing strategies for infection prevention and control and the latest research progress of chemotaxis and sterilization, aiming to provide a reference for wound anti-infection and systemic anti-infection research throughout the body, and offer new directions and ideas for future infection prevention and control strategies.

With the main pathological features of glomerulosclerosis and interstitial fibrosis， renal fibrosis is a key pathological process causing chronic kidney disease to progress to end-stage disease. As a cellular autophagic process， mitochondrial autophagy plays a crucial role in maintaining mitochondrial mass and functional stability. Mitochondrial dysfunction is considered to be one of the key factors driving the progression of fibrosis. Phosphatase and tension protein homologue （PTEN） induce various signalling pathways such as putative kinase 1/parkin， Nip3-like protein X/Bcl-2 interacting protein 3， and FUN14 structural domain-containing protein 1 to activate mitochondrial autophagy to participate in the regulation of fibrogenic factors， amelioration of oxidative stress， and inhibition of inflammatory response and apoptosis， which in turn effectively slows down the progression of renal fibrosis. Studies have shown that traditional Chinese medicine monomers and compound preparations， including phenolics， terpenoids， ketones， and alkaloids， can regulate mitochondrial autophagy-related signalling pathways and achieve significant clinical efficacy in intervening in the progression of renal fibrosis for the treatment of chronic kidney disease. This paper summarized the mechanism of mitochondrial autophagy and the research progress of traditional Chinese medicine intervention in renal fibrosis to provide new ideas for the study of the mechanism of traditional Chinese medicine in treating renal fibrosis.

With the main pathological features of glomerulosclerosis and interstitial fibrosis， renal fibrosis is a key pathological process causing chronic kidney disease to progress to end-stage disease. As a cellular autophagic process， mitochondrial autophagy plays a crucial role in maintaining mitochondrial mass and functional stability. Mitochondrial dysfunction is considered to be one of the key factors driving the progression of fibrosis. Phosphatase and tension protein homologue （PTEN） induce various signalling pathways such as putative kinase 1/parkin， Nip3-like protein X/Bcl-2 interacting protein 3， and FUN14 structural domain-containing protein 1 to activate mitochondrial autophagy to participate in the regulation of fibrogenic factors， amelioration of oxidative stress， and inhibition of inflammatory response and apoptosis， which in turn effectively slows down the progression of renal fibrosis. Studies have shown that traditional Chinese medicine monomers and compound preparations， including phenolics， terpenoids， ketones， and alkaloids， can regulate mitochondrial autophagy-related signalling pathways and achieve significant clinical efficacy in intervening in the progression of renal fibrosis for the treatment of chronic kidney disease. This paper summarized the mechanism of mitochondrial autophagy and the research progress of traditional Chinese medicine intervention in renal fibrosis to provide new ideas for the study of the mechanism of traditional Chinese medicine in treating renal fibrosis.

Depression is a common mental disorder in clinical practice， and it falls under the category of depression syndrome in traditional Chinese medicine （TCM）. In TCM， Qi depression is considered as the root cause of all depression syndromes. Qi depression can lead to blood stasis， which is a key cause of diseases due to depression syndrome. Therefore， treating stasis is an important therapeutic approach for depression syndrome. Salviae Miltiorrhizae Radix et Rhizoma， a representative herbal medicine for activating blood and removing stasis， is effective in activating blood， removing stasis， dredging meridians， and alleviating pain. Currently， it is primarily used in clinical practice to treat cardiovascular and cerebrovascular diseases， such as neurasthenia， coronary heart disease， insomnia， and palpitations. The active components of Salviae Miltiorrhizae Radix et Rhizoma are complex and exhibit a variety of pharmacological effects. These components include water-soluble salvianolic acids and lipid-soluble tanshinones. Modern pharmacological studies have proven that Salviae Miltiorrhizae Radix et Rhizoma and its active components possess antioxidant， anti-inflammatory， anti-tumor， anti-fibrosis， and neuroprotective properties. In recent years， increasing attention has been paid to the pharmacological effects and mechanisms of Salviae Miltiorrhizae Radix et Rhizoma and its active components in treating depression. This paper systematically reviews the antidepressant mechanisms of Salviae Miltiorrhizae Radix et Rhizoma and its main active components from the regulation of monoamine neurotransmitters， the hypothalamic-pituitary-adrenal axis， neurotrophic factors， and neuroinflammation. In addition， this paper summarizes the clinical applications of the prescriptions containing Salviae Miltiorrhizae Radix et Rhizoma in the treatment of depression， providing new insights for further research on the pharmacological mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating depression.

Objective To investigate the effects of Aurora kinase A(AURKA)on the tumor microenvironment of colorectal cancer(CRC)and to predict the active compounds in Chinese herbs that can target AURKA.Methods Based on the transcriptomic data and clinical information from 380 CRC tissues and 51 paracancerous tissues in The Cancer Genome Atlas(TCGA)database,the infiltration of different cells in the tumor tissues was analyzed using xCell and the binding of active compounds of Chinese herbs with AURKA was predicted through molecular docking.Results The expression of AURKA was significantly upregulated in CRC tissues compared with that in paracancerous tissues(P＜0.05),and CRC patients with high AURKA expression had shorter overall survival.Compared with the AURKA low-expression group,the abundance of macrophages,monocytes,and effector memory CD4+and CD8+T cells was significantly downregulated in the AURKA high-expression group(P＜0.05).In addition,the cytotoxicity of T cells was significantly reduced(P＜0.05).Further analysis revealed that AURKA expression was positively correlated with the abundance of myeloid-derived suppressor cells(MDSCs)and the expression levels of their chemokines CXCL2 and CXCL5(P＜0.05).Genes that were differentially expressed between the AURKA high-and low-expression groups were mainly enriched in monocyte migration,chemokine-induced cellular responses,and other related processes.Chinese herbal compounds,including hesperidin,aristololactam A Ⅱ a,anacardic acid,coumestrol,and 17β-estradiol,all showed binding energies to AURKA lower than-1.2 kcal/mol,indicating a certain level of binding stability.Among these Chinese herbal compounds,17β-estradiol exhibited the best binding stability to AURKA-3UOL.Conclusion The high expression of AURKA in CRC tissues suggests a poor clinical prognosis.AURKA can promote the development of a suppressive immune microenvironment in CRC,and 17β-estradiol,an active compound from Chinese herbs,is a potential therapeutic agent targeting AURKA.