Aiming at the problems of tongue diagnosis instruments relying on manual operation,uneven illumination,color distortion and lack of dynamic information,an automated operation black box tongue diagnosis instrument based on machine vision is proposed.This instrument utilizes machine vision technology and image processing algorithms to achieve automatic positioning and automatic acquisition of tongue manifestations.High-resolution camera technology enables the acquisition of 3-second dynamic videos and high-quality static images.The performance test results show that,based on the dual-camera geometric projection calibration algorithm,the average time for tongue recognition is less than 0.15 seconds.The diffuse reflection light source improves the gray uniformity to 76.74%,and the maximum color difference in color reproduction degree is 19,which is better than the industry standard value of 25.The developed tongue diagnosis instrument will promote the objective,efficient and precise acquisition of tongue diagnosis in traditional Chinese medicine.

Polycystic ovary syndrome（PCOS） and its resulting infertility is one of the common diseases of gynecology and reproductive endocrinology. The phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway is relatively well-studied in the development of intervention in PCOS， and the experiments on PCOS in rats conducted by traditional Chinese medicine through this signaling pathway is also the main direction of mechanistic research. In this paper， 20 articles published in academic journals in the past 5 years were selected through the corresponding criteria， and the objective situation and existing problems of the selected research projects were analyzed from five aspects， namely， baseline data， modeling and treatment， grouping， evaluative indexes， and pharmacodynamic indexes. It is found that there were different degrees of problems in each research project， such as the observation indicators of modeling， criteria for judging the success of the model， the treatment period， the calculation of dosage of prescription/active ingredients and specific dosage were not clearly defined， which could easily lead the bias of the results or reduce the validity of experimental data. Based on this， the list of PCOS rat experimental research operations was formed， involving five categories of experimental rats， model construction， study implementation， outcome measures and analysis and report with a total of 21 operation lists， with a view to provide a reference for the subsequent PCOS experiments related to scientific research and helping to form high-quality results.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Aiming at the problems of tongue diagnosis instruments relying on manual operation,uneven illumination,color distortion and lack of dynamic information,an automated operation black box tongue diagnosis instrument based on machine vision is proposed.This instrument utilizes machine vision technology and image processing algorithms to achieve automatic positioning and automatic acquisition of tongue manifestations.High-resolution camera technology enables the acquisition of 3-second dynamic videos and high-quality static images.The performance test results show that,based on the dual-camera geometric projection calibration algorithm,the average time for tongue recognition is less than 0.15 seconds.The diffuse reflection light source improves the gray uniformity to 76.74%,and the maximum color difference in color reproduction degree is 19,which is better than the industry standard value of 25.The developed tongue diagnosis instrument will promote the objective,efficient and precise acquisition of tongue diagnosis in traditional Chinese medicine.

Objective To simulate the hemodynamic effects of different flow diverters (FD) parameters by using computational fluid dynamics (CFD) technology, so as to develop a more reasonable FD embolization strategy before operation. Methods The porous media model was used to simulate the process of FD implantation into aneurysms, and the initial values of its own unique porous media momentum source parameters (permeability and inertial resistance) were calculated for a specific FD (Tubridge).The changes of hemodynamic parameters such as blood flow velocity, wall shear stress (WSS), volume flow and pressure of aneurysm-roof were compared under different situations (initial values of 80%, 90%, 100%, 110% and 120%), and the sensitivity analysis on hemodynamic parameters of patient-specific intracranial aneurysms (IA) for the porous media model was further conducted. Results The sensitivity of IA hemodynamic parameters to the permeability of porous media model was as follows: WSSparent-artery＞WSSaneurysm＞paneurysmal-roof, but the sensitivity to inertia resistance was relatively lower. Conclusions By using the porous media model, different metal coverages (MC) of FD could be simulated by choosing different permeability parameters, so it is necessary to adjust specific permeability settings during modeling of FD with different MC.

Objective To comprehensively consider the effect of low diverter (FD) implantation on aneurysmal sac and its branches, so as to provide references for making a more reasonable surgical strategy for intracranial aneurysm embolization in clinical practice. Methods Based on computational fluid dynamics (CFD) method, the FD implantation procedure was simulated by using porous media model innovatively. Changes in hemodynamic parameters of aneurysmal sac and side branch with different diameters before and after FD implantation were compared and analyzed, such as blood flow field, velocity, wall pressure and wall shear stress (WSS). Results FD changed the hemodynamic characteristics of aneurysms. The blood flow velocity decreased significantly. The WSS on aneurysmal neck increased, while the difference of WSS between proximal and distal cervical area reduced conversely. Different side branch diameters of vessels had different effects on hemodynamic characteristic changes. The larger diameter would cause the greater blood flow reduction in side branch after FD implantation, but the decrease in velocity of aneurysmal sac and pressure on aneurysmal roof became smaller simultaneously. Meanwhile, the increase of WSS on aneurysmal neck was inversely proportional to the diameter of side branch. Conclusions The larger branch diameter of vessels would cause the worse effect of FD embolization therapy for intracranial aneurysm, worse atherosclerosis improvements and greater possibilities of branch occlusion or other ischemic complications. Doctors should pay more attention to such cases in FD interventional intravascular embolization in clinic.

OBJECTIVE：To optimize the p reparation technology of citronellol submicroemulsion. METHODS ：The content of citronellol in Citronellol submicroemulsion was determined by HPLC. Citronellol submicroemulsion by high-speed shearing dispersion-high pressure homogenization method ，with centrifugation stability constant （ke） and particle size were used as evaluation indexes. Its formulation and preparation technology were optimized and validated. Drug-loading amount and encapsulation rate of the preparation were detected. RESULTS ：The linear range of citronellol were 4-64 μg/mL（R 2＝0.999 9）. RSDs of precision ，stability（24 h）and reproducibility tests were all lower than 3％. The recoveries were 97.64％-101.97％（RSD＝ 2.28％，n＝3），97.71％-99.50％（RSD＝1.29％，n＝3），96.87％-101.48％（RSD＝2.86％，n＝3）. The optimal formulation included that total weight of soybean oil and medium chain triglycerides （1 ∶ 1，g/g）was 3.75 g，1.2％ soybean phospholipid was 0.6 g， cholesterol was 0.06 g，citronellol was 1.25 g，0.6 ％ sodium oleate was 0.3 g，15-hydroxystearic acid polyethylene glycol ester was 0.75 g，poloxamer 188 was 0.75 g，water added to 50 mL. After prepared by optimal technology at 4 ℃ which contained shearing speed of 13 000 r/min，lasting for 5 min， primary emulsion was adjusted to pH 7 with dilute hydro- chloric acid ，and homogenized with 600 Bar high pressure for 1434412440@qq.com 5 min. The parameters of Citronellol submicroemulsion accor- ding to optimal formulation and technology contained mean particle size of （91.05±0.26）nm，PDI of （0.20±0.01）， Zeta-potential of （－30.86±0.39）mV，average content of 649511230@qq.com citronellol（100.21±0.01）％，the drug-loading amount was （2.481 7 ± 0.000 7） mg/mL，the encapsulation rate was （99.27 ± 0.03）％ . CONCLUSIONS ：The optimal formulation and technology is stable and feasible.