Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Objective:To investigate the changes in sympathetic nerve activity after lower limb immobilization and the role of sympathetic nerve in regulating disuse atrophy of skeletal muscles.Methods:The experiment was divided into the following 3 parts: ① Twelve 8-week-old male C57 mice were randomly divided into a blank control group and a hind limb fixation group ( n=6). The blank control group received no intervention while the hind limb fixation group received splint fixation of the hind limbs for 2 weeks before the musculoskeletal multi-dimensional characterization was completed at the behavioral, pathological and molecular levels. ② Thirty-six 8-week-old male C57 mice were selected and randomly divided into a control group and 5 hind limb fixation groups (for 1, 3, 5, 7 and 14 days) ( n=6). The control group was fed normally until 14 days without any intervention while the 5 hind limb fixation groups were sampled after fixation for 1, 3, 5, 7 and 14 days, respectively. The level of norepinephrine in the serum and the expression level of tyrosine hydroxylase (TH), a marker of sympathetic nerve activity in the paraventricular nucleus of hypothalamus (PVN), were detected to observe the plasticity of sympathetic nerve activity. ③ Eighteen 8-week-old male C57 mice were selected and randomly divided into a blank control group, a hind limb fixation group and a hind limb fixation plus medication group ( n=6). The blank control group received no intervention while the 2 fixation groups were injected with phosphate buffer (PBS) and propranolol hydrochloride solution for 2 consecutive weeks, respectively. The parameters related to the skeletal muscles were compared between the 3 groups. Results:① Compared with the control group, the mass and function of skeletal muscles in the hind limb fixation group were statistically significantly decreased ( P<0.05). ② The levels of serum norepinephrine [(3.27±1.03) ng/mL, (9.21±1.05) ng/mL, (6.36±0.88) ng/mL, (3.84±1.00) ng/mL, and (3.91±0.75) ng/mL] and the PVN TH levels (42.00%±5.38%, 61.67%±5.57%, 55.82%±3.11%, 50.90%±2.53%, and 39.17%±9.07%) in the 5 hind limb fixation groups (for 1, 3, 5, 7 and 14 days) were significantly higher than those in the control group [(1.81±0.72)] ng/mL and 23.33%±5.50%] ( P<0.05). ③ The wet weight of the gastrocnemius muscle [(93.50±4.32) mg] and the cross-section area of the tibial anterior muscle [(1,180.00±95.09) μm 2] in the hind limb fixation plus medication group were increased significantly compared with those in the hind limb fixation group [(80.83±9.99) mg and (907.80±121.00) μm 2] ( P<0.05). Conclusions:Overactivation of the sympathetic nervous system occurs in the mice model of skeletal muscle disuse atrophy after hind limb fixation. Inhibition of sympathetic nerve activity may reduce the severity of skeletal muscle atrophy at the lower limbs.

Objective:To investigate the changes in sympathetic nerve activity after lower limb immobilization and the role of sympathetic nerve in regulating disuse atrophy of skeletal muscles.Methods:The experiment was divided into the following 3 parts: ① Twelve 8-week-old male C57 mice were randomly divided into a blank control group and a hind limb fixation group ( n=6). The blank control group received no intervention while the hind limb fixation group received splint fixation of the hind limbs for 2 weeks before the musculoskeletal multi-dimensional characterization was completed at the behavioral, pathological and molecular levels. ② Thirty-six 8-week-old male C57 mice were selected and randomly divided into a control group and 5 hind limb fixation groups (for 1, 3, 5, 7 and 14 days) ( n=6). The control group was fed normally until 14 days without any intervention while the 5 hind limb fixation groups were sampled after fixation for 1, 3, 5, 7 and 14 days, respectively. The level of norepinephrine in the serum and the expression level of tyrosine hydroxylase (TH), a marker of sympathetic nerve activity in the paraventricular nucleus of hypothalamus (PVN), were detected to observe the plasticity of sympathetic nerve activity. ③ Eighteen 8-week-old male C57 mice were selected and randomly divided into a blank control group, a hind limb fixation group and a hind limb fixation plus medication group ( n=6). The blank control group received no intervention while the 2 fixation groups were injected with phosphate buffer (PBS) and propranolol hydrochloride solution for 2 consecutive weeks, respectively. The parameters related to the skeletal muscles were compared between the 3 groups. Results:① Compared with the control group, the mass and function of skeletal muscles in the hind limb fixation group were statistically significantly decreased ( P<0.05). ② The levels of serum norepinephrine [(3.27±1.03) ng/mL, (9.21±1.05) ng/mL, (6.36±0.88) ng/mL, (3.84±1.00) ng/mL, and (3.91±0.75) ng/mL] and the PVN TH levels (42.00%±5.38%, 61.67%±5.57%, 55.82%±3.11%, 50.90%±2.53%, and 39.17%±9.07%) in the 5 hind limb fixation groups (for 1, 3, 5, 7 and 14 days) were significantly higher than those in the control group [(1.81±0.72)] ng/mL and 23.33%±5.50%] ( P<0.05). ③ The wet weight of the gastrocnemius muscle [(93.50±4.32) mg] and the cross-section area of the tibial anterior muscle [(1,180.00±95.09) μm 2] in the hind limb fixation plus medication group were increased significantly compared with those in the hind limb fixation group [(80.83±9.99) mg and (907.80±121.00) μm 2] ( P<0.05). Conclusions:Overactivation of the sympathetic nervous system occurs in the mice model of skeletal muscle disuse atrophy after hind limb fixation. Inhibition of sympathetic nerve activity may reduce the severity of skeletal muscle atrophy at the lower limbs.

Background Obsessive-compulsive personality disorder and obsessive-compulsive disorder(OCD)are common psychological disorders with similar clinical symptoms,but the differences between the two need further clarification.Objective To explore the clinical features of and influencing factors of obsessive-compulsive personality disorder in patients with OCD,so as to provide references for further relevant clinical diagnosis and treatment.Methods A total of 195 patients with OCD were selected as the research subjects,who received treatment at the outpatient and inpatient departments of the Affiliated Brain Hospital of Nanjing Medical University from July 2022 to December 2023 and met the diagnostic criteria for OCD in the International Classification of Diseases,tenth edition(ICD-10).Evaluation was conducted by using the Yale-Brown Obsessive Compulsive Scale(Y-BOCS),Personality Diagnostic Questionnaire-4+(PDQ-4+),Obsessive-Compulsive Inventory-Revised(OCI-R),Beck Depression Inventory(BDI),Beck Anxiety Inventory(BAI)and Sheehan Disability Scale(SDS).In accordance with the score of Obsessive-Compulsive Personality Disorder Scale in PDQ-4+,patients were divided into the OCD group with obsessive-compulsive personality disorder(n=58)and the OCD group without obsessive-compulsive personality disorder(n=137).Pearson correlation analysis and Spearman correlation analysis were adopted to examine the correlation between clinical features and the score of the Obsessive-Compulsive Personality Disorder Scale.Multiple linear regression analysis was used to explore the influencing factors of OCD patients with obsessive-compulsive personality disorder.Results Statistically significant differences were observed between OCD patients with and without obsessive-compulsive personality disorder in the age,family history of mental illness,time without treatment,hoarding and ranking dimension scores in OCI-R,OCI-R total score,score of Obsessive-Compulsive Personality Disorder Scale in PDQ-4,and BDI score(P≤0.05).OCD patients with obsessive-compulsive personality disorder in the time without treatment,OCI-R total score,hoarding and ranking dimension scores in OCI-R and BDI score are all positively correlated with the score of the Obsessive-Compulsive Personality Disorder Scale(r=0.120,0.526,0.364,0.492,0.414,P<0.05).The results of multiple linear regression analysis showed that time without treatment(β=0.132,P<0.05),hoarding dimension score(β=0.283,P<0.05)and ranking dimension score in OCI-R(β=0.418,P<0.05)were the influencing factors of OCD patients with obsessive-compulsive personality disorder.Conclusion OCD patients with obsessive-compulsive personality disorder may have longer untreated periods,more pronounced functional impairments in hoarding and sorting and more severe depressive symptoms.Untreated time,hoarding symptoms and sorting symptoms may be influencing factors for OCD patients with obsessive-compulsive personality disorder.

Objective:To explore the value of radiomics and deep learning in predicting the efficacy of initial transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC).Methods:This was a cohort study. The imaging and clinical information of HCC patients treated with TACE in the Second Affiliated Hospital of Harbin Medical University from January 2015 to January 2021 were collected retrospectively. A total of 265 patients were divided into response group (175 cases) and non-response group (90 cases) according to the modified solid tumor efficacy evaluation criteria (mRECIST) 1 to 2 months after initial TACE. According to the proportion of 8∶2, the patients were randomly divided into training group (212 cases, 140 responders and 72 non-responders) and test set (53 cases, 35 responders and 18 non-responders). Univariate and multivariate logistic regression was used to screen clinical variables and construct a clinical model. The radiomics features were extracted from the preoperative CT images, and radiomics model was constructed after feature dimensionality reduction. Using the deep learning method, three residual network (ResNet) models (ResNet18, ResNet50 and ResNet101) were established, and their effectiveness was compared and integrated to build a deep learning model with best performance. Univariate and multivariate logistic regression was used to combine pairwise three models to establish the combined model. The receiver operating characteristic curve was used to evaluate the performance of the model to distinguish between TACE response and non-response groups.Results:In the test set, the area under the curve (AUC) of the clinical model and the radiomics model in the differentiation between response and non-response after TACE were 0.730 (95% CI 0.569-0.891) and 0.775 (95% CI 0.642-0.907). The AUC of ResNet18, ResNet50 and ResNet101 were 0.719, 0.748 and 0.533, respectively. The AUC for deep learning model obtained by integrating ResNet18 and ResNet50 was 0.806 (95% CI 0.665-0.946). After pairwise fusion, the combined deep learning-radiomics model showed the highest performance, with an AUC of 0.843 (95% CI 0.730-0.956), which was better than those of the deep learning-clinical model (AUC of 0.838, 95% CI 0.719-0.957) and the radiomics-clinical model (AUC of 0.786, 95% CI 0.648-0.898). Conclusions:The combined model of radiomics and deep learning has high performance in predicting the curative effect of TACE in patients with HCC before operation.

Internal hernia is the protrusions of the viscera through the peritoneum or mesentery in the abdominal cavity. It lacks specific clinical symptoms and has a poor prognosis. According to the anatomical classification, the intra-abdominal hernia can be divided into Duodenal paralysis, Winslow hernia, mesenteric hernia and mesenteric hiatal hernia. Among various imaging methods, multi-slice spiral CT has a higher value for preoperative diagnosis of internal hernia. This article will focus on the imaging features of several intra-abdominal hernias under multi-slice spiral CT, and summarize the general diagnostic strategies of internal hernia.

Objective:To prepare a virus-like particle (VLP),containing Hepatitis B virus core antigen (HBcAg) and N-terminal peptides of the L2 protein of human papilloma virus (HPV),and investigate the immunogenicity of the VLP in mice and the protection against different strains of HPV .Methods:A fusion gene was synthesized to insert a DNA fragment ,coding for the N-terminal epitopes of the L2 protein of HPV16,into the HBcAg coding sequence;HBc-L2 fusion protein was highly expressed in E.coli using the pET9a and BL21(DE3) expression system;the purified fusion protein was used to immunize BALB/c mice and antibody titers against the L2 epitopes in mouse sera were determined by indirect ELISA;the levels of neutralizing antibodies against both HPV 16 and 18 were also analyzed.Results:HBc-L2 fusion protein was expressed in E.coli and purified,with the purity >80%,by ammonium sulfate pre-cipitation and CL-4B gel filtration;analysis of the purified fusion protein ,using size exclusion chromatography with multi-angle laser light scattering detection ( SEC-MALS) and electron microscope ,revealed that HBc-L2 was assembled into a stable VLP structure auto-matically following its expression;immunization of BALB/c mice with the purified VLPs resulted in high antibody titers in mouse sera against the L2 epitopes;furthermore,it was demonstrated that the sera from the immunized mice had neutralization activities against both HPV16 and HPV18.Conclusion:The immunogenicity of the L2 epitopes was highly enhanced by the construction of HBc-L2 fusion protein and the formation of the VLP structure;the fusion protein was also capable of inducing protections against different serotypes of HPV,therefore,it could be a potential HPV vaccine with a broad coverage and low production cost .