Objective:To compare the clinical efficacy of a fixed exoskeleton robot with that of an exoskeleton walker in training the balance of stroke survivors in the subacute stage.Methods:Thirty persons with subacute stroke were divided at random into a fixed robot group (15 cases) and a walking robot group (15 cases). In addition to conventional rehabilitation treatment, the fixed robot group underwent daily 20-minute treadmill-based fixed exoskeleton robot training, 5 days a week for 2 weeks. The walking group was trained with an exoskeleton walking robot on the same schedule. Before and after the treatment, the Berg balance scale, the sitting modified functional stretch test (SMFRT), an isokinetic muscle strength test and the modified Barthel index (MBI) were used to evaluate the subjects′ global balance, self-dynamic balance, knee proprioception and ability in the activities of daily living (ADL).Results:After the treatment, both groups′ average Berg score, SMFRT extension difference, proprioceptive absolute error angle in the affected knee and MBI had improved significantly. The average SMFRT extension difference after treatment in the walker group was then significantly better than the fixed robot group′s average. However, the fixed robot group′s proprioception in the affected knee joint was then significantly better, on average, than among the walking robot group.Conclusions:Both fixed exoskeleton robot training and exoskeleton walker training can improve the balance, proprioception and ADL ability after a stroke. The former better improves dynamic balance; the latter better improves proprioception in the affected knee joint.

Objective:To compare the clinical efficacy of a fixed exoskeleton robot with that of an exoskeleton walker in training the balance of stroke survivors in the subacute stage.Methods:Thirty persons with subacute stroke were divided at random into a fixed robot group (15 cases) and a walking robot group (15 cases). In addition to conventional rehabilitation treatment, the fixed robot group underwent daily 20-minute treadmill-based fixed exoskeleton robot training, 5 days a week for 2 weeks. The walking group was trained with an exoskeleton walking robot on the same schedule. Before and after the treatment, the Berg balance scale, the sitting modified functional stretch test (SMFRT), an isokinetic muscle strength test and the modified Barthel index (MBI) were used to evaluate the subjects′ global balance, self-dynamic balance, knee proprioception and ability in the activities of daily living (ADL).Results:After the treatment, both groups′ average Berg score, SMFRT extension difference, proprioceptive absolute error angle in the affected knee and MBI had improved significantly. The average SMFRT extension difference after treatment in the walker group was then significantly better than the fixed robot group′s average. However, the fixed robot group′s proprioception in the affected knee joint was then significantly better, on average, than among the walking robot group.Conclusions:Both fixed exoskeleton robot training and exoskeleton walker training can improve the balance, proprioception and ADL ability after a stroke. The former better improves dynamic balance; the latter better improves proprioception in the affected knee joint.

Hepatocellular carcinoma is the most common type of primary liver cancer and is currently the third leading cause of cancer-related deaths worldwide. Radiomics refers to the high-throughput extraction of quantitative features from medical images and their in-depth mining and analysis. As an emerging technology，it has been widely applied in tumor diagnosis，pathological grading，vascular invasion，treatment evaluation and prognosis prediction，providing a brand-new perspective for personalized medicine. Ultrasound radiomics，as its branch，has currently become an important tool to assist in improving the clinical management of hepatocellular carcinoma and plays an indispensable and significant role in its diagnosis and prediction.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Objective:To investigate the association of serum γ-glutamyltransferase (GGT) with stroke severity and outcome in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to the Department of Neurology, Hefei Second People's Hospital (Guangde Road Branch) from January 2023 to December 2023 were included retrospectively. According to the baseline National Institutes of Health Stroke Scale score, the patients were divided into mild stroke group (≤8) and moderate to severe stroke group (>8); According to the modified Rankin Scale score at 3 months after onset, the patients were divided into a good outcome group (0-2) and a poor outcome group (>2). Multivariate logistic regression analysis was used to determine the independent influencing factors of stroke severity and outcome, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive value of serum GGT for poor outcome. Results:A total of 136 patients with AIS were included, with 42 patients (30.88%) in the mild stroke group and 94 (69.12%) in the moderate to severe stroke group; 80 patients (58.82%) in the good outcome group and 56 (41.18%) in the poor outcome group. Multivariate logistic regression analysis showed that higher serum GGT was an independent related factor for moderate to severe stroke (odds ratio [ OR] 1.075, 95% confidence interval [ CI] 1.017-1.135; P<0.05) and poor outcome ( OR 1.131, 95% CI 1.069-1.197; P<0.05). The ROC curve analysis showed that the area under the curve for predicting poor outcome by serum GGT was 0.820 (95% CI 0.747-0.892). Conclusion:Serum GGT is significantly correlated with the severity of stroke in patients with AIS, and has certain predictive value for poor short-term outcome.

Hepatocellular carcinoma is the most common type of primary liver cancer and is currently the third leading cause of cancer-related deaths worldwide. Radiomics refers to the high-throughput extraction of quantitative features from medical images and their in-depth mining and analysis. As an emerging technology，it has been widely applied in tumor diagnosis，pathological grading，vascular invasion，treatment evaluation and prognosis prediction，providing a brand-new perspective for personalized medicine. Ultrasound radiomics，as its branch，has currently become an important tool to assist in improving the clinical management of hepatocellular carcinoma and plays an indispensable and significant role in its diagnosis and prediction.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

ObjectiveTo investigate the effects of Guizhi Jia Longgu Mulitang on the expression difference of interleukin-10 （IL-10） and tumor necrosis factor -α （TNF-α） in related organs of insomnia rats with sensory dysfunction dominated by lung and study the mechanism of Guizhi Jia Longgu Mulitang in improving insomnia. MethodSD rats were randomly divided into the blank group， model group， western medicine group， and traditional Chinese medicine （TCM） group， with 10 rats in each group. The rats were deprived of sleep by shallow water environment method in a long platform， and the modeling lasted for 42 d. The blank group and model group were given 0.05 mL·kg^-1 normal saline by gavage， and the western medicine group and TCM group were given drugs during modeling. To be specific， the western medicine group was given 0.105 mg·kg^-1 dexzopiclone tablet by gavage， while the TCM group was given 7 600 mg·kg^-1 Guizhi Jia Longgu Mulitang by gavage， both lasting for 28 days. After successful modeling， the Morris water maze experiment was performed on the 42nd day to detect the motion and spatial memory ability of rats. The levels of IL-10 and TNF-α in serum were detected by enzyme-linked immunosorbent assay （ELISA）. The protein expression of IL-10 and TNF-α in the lung and brain tissue of rats was detected by Western blot. The levels of IL-10 and TNF-α in the lung and brain tissue of rats were detected by immunohistochemistry. ResultCompared with the blank group， the sleep stages non-rapid eye movement ( NREM ) and rapid eye movement ( REM ) of the model group were significantly shortened （P<0.5， P<0.01）， and the wake stage was significantly increased （P<0.01）. The total time and distance of platform exploration were significantly increased （P<0.01）. In the target quadrant （the third quadrant）， the percentage of exploration time and the times of crossing the platform were significantly decreased （P<0.01）. ELISA results showed that the serum IL-10 level was significantly decreased （P<0.01）， and TNF-α level was significantly increased （P<0.01）. The results of Western blot showed that the protein expression of IL-10 in brain and lung tissue of rats was significantly decreased （P<0.01）， and the protein expression of TNF-α was significantly increased （P<0.01）. The results of immunohistochemistry showed that the expression of IL-10 in the brain and lung tissue of rats was significantly decreased （P<0.01）， and that of TNF-α was significantly increased （P<0.01）. Compared with the model group， the NREM stage and REM stage of the western medicine group and the TCM group were significantly increased （P<0.5， P<0.01）， and the wake stage was shortened （P<0.5）. The total time and distance of platform exploration were significantly decreased （P<0.01）. In the target quadrant （the third quadrant）， the percentage of exploration time and the times of crossing the platform were significantly increased （P<0.05， P<0.01）. The serum IL-10 level was significantly increased （P<0.01）， and the serum TNF-α level was significantly decreased according to the ELISA results （P<0.01）. The results of Western blot showed that the protein expression of IL-10 in brain tissue and lung tissue was significantly increased （P<0.01）， and the protein expression of TNF-α was significantly decreased （P<0.01）. The results of immunohistochemistry showed that the expression of IL-10 in brain tissue and lung tissue was significantly increased （P<0.05， P<0.01）， and the expression of TNF-α was significantly decreased （P<0.05， P<0.01）. ConclusionGuizhi Jia Longgu Mulitang can improve the expression of IL-10 and TNF-α in brain and lung tissue of insomnia rats with sensory dysfunction dominated by lung， prolong sleep time， and then improve insomnia. The mechanism may be related to improving the expression level of inflammatory factors.

Hyperlipidaemic rats were randomly divided into a model group,a total flavonoids from echinops latifolius tausch(TFET)high,medium and low dose group,and a positive control group;meanwhile,healthy rats were selected as a blank control group.The rats in each group were dosed with the corresponding concentrations of TFET,simvastatin and distilled water for 45 consecutive days,and were tested for relevant lipid biochemical indexes,antioxidant indexes and PPARα path-way-related gene expression.The results showed that high-dose TFET could reduce the concentra-tions of TC,TG and LDL-C and increase the concentration of HDL-C very significantly;medium-dose TFET could reduce the concentrations of TC and TG very significantly and reduce the con-centration of LDL-C significantly;and low-dose TFET could reduce the concentrations of TC and LDL-C significantly.High,medium and low doses of TFET can extremely significantly reduce in-crease SOD activity;high and medium doses of TFET can extremely significantly reduce MDA content;high dose of TFET can extremely significantly increase T-AOC activity.The high dose of TFET could extremely significantly increase the expression of PPARα,CYP7A1 and CPT-1 genes in rat liver;the medium dose of TFET could extremely significantly increase the expression of CYP7A1 and CPT-1 genes,and could significantly increase the expression of PPARα gene;the low dose of TFET could extremely significantly increase the expression of CYP7A1 gene,and signifi-cantly increase the CPT-1 gene expression.The results suggest that TFET has antioxidant and lip-id-lowering effects on hyperlipidaemic rats,and its mechanism may be related to the activation of PPARα and its downstream related genes to promote fatty acid β-oxidation.

ObjectiveTo study the medication rules of Professor. WANG Xingkuan and inherit his academic experience in the treatment of chest stuffiness and pain with the aid of the Traditional Chinese Medicine Inheritance Computing Platform V3.0 （TCMICS V3.0）. MethodThe original medical records of patients with angina pectoris in coronary heart disease （CHD） diagnosed and treated by Prof. WANG in the outpatient department of Hunan University of Chinese Medicine from 2017 to 2020 were collected and entered into the TCMICS V3.0. The rules of prescriptions and drugs were analyzed by the software. ResultA total of 1 044 prescriptions of Prof. WANG for the treatment of chest stuffiness and pain were collected. Most of the drugs were sweet and bitter in flavor and mainly acted on the lung meridian， followed by heart， spleen， liver， stomach， and kidney meridians. Among the prescriptions， Shengmaisan was the most commonly used classic prescription， and Xintongling No. Ⅲ was the top experienced prescription. High-frequency drugs mainly included Ophiopogonis Radix， Pinelliae Rhizoma， Salviae Miltiorrhizae Radix et Rhizoma， Trichosanthis Pericarpium， Coptidis Rhizoma， Schisandrae Chinensis Fructus， and Bupleuri Radix. The common doses of drugs were 3， 5， 10， and 15 g. The analysis of formulation rules revealed 129 combinations of common drugs， 58 combinations with confidence > 0.99， and the core drugs of common syndromes. Six core drug combinations were obtained by drug clustering. ConclusionProfessor WANG treats chest stuffiness and pain based on syndrome differentiation following the principles of benefiting Qi， nourishing Yin， eliminating phlegm， resolving stasis， soothing liver， and promoting bile secretion， reflecting his academic idea of "regulation of multiple organs and comprehensive treatment". The core prescriptions can be used for reference by clinical practitioners， but further clinical and experimental studies are still needed to verify their efficacy.