ObjectiveTo analyze the research status, hotspots and development trends in the application of virtual reality (VR) technology in managing negative emotions and postoperative rehabilitation of perioperative patients over the past decade. MethodsLiteratures related to the application of VR technology in managing negative emotions and postoperative rehabilitation of perioperative patients were retrieved from Web of Science Core Collection database and CNKI, covering the period from January, 2015 to August, 2025, and CiteSpace 6.3.R1 was used for bibliometric analysis. ResultsA total of 267 English literatures and 130 Chinese literatures were included, with the annual number of publications showing an upward trend. The United States was the country with the largest number of publications in English literatures, and Erasmus University Rotterdam was the institution with the largest number of publications. High-frequency keywords included virtual reality, pain, surgery, anxiety and distraction. Research hotspots mainly focused on functional exercise, negative emotions, pain management and multimodal intervention strategies. English researches were deepening towards virtual reality exposure therapy, mechanism exploration and personalized schemes, while Chinese researches focused more on the verification of rehabilitation effects. ConclusionResearches on the application of VR technology in the management of perioperative patients are rapidly developing, with research hotspots shifting from single technology application to multimodal and personalized integrated intervention. Future research should focus on exploring its intervention mechanisms, personalized schemes and the breadth of cross-departmental applications.

ObjectiveTo investigate the effect and mechanism of transplantation of human umbilical cord mesenchymal stem cell （hUC-MSC） with overexpression of the Numb gene in the treatment of cholestatic liver fibrosis （CLF）. MethodsThe technique of lentiviral transfection was used to induce the overexpression of the Numb gene in hUC-MSC （hUC-MSC^Numb-OE）， and hUC-MSC transfected with empty vector （hUC-MSC^OE-EV） was used as negative control. Bile duct ligation （BDL） was performed to establish a rat model of CLF， and then the rats were randomly divided into BDL group， hUC-MSC group， hUC-MSC^OE-EV group， and hUC-MSC^Numb-OE group， while a sham-operation group was also established. The rats in the intervention groups were given a single splenic injection of the corresponding cells after BDL， and samples were collected at the end of week 4. Related indicators were measured， including serum biochemistry， liver histopathology， the content of hydroxyproline （Hyp） in the liver， hepatic stellate cell activation， ductular reaction， liver regeneration， and the expression levels of key molecules in the Numb-p53 signaling axis. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the BDL group， the hUC-MSC group and the hUC-MSC^OE-EV group had significant reductions in the levels of serum biochemical parameters （aspartate aminotransferase， gamma-glutamyl transpeptidase， total bile acid， total bilirubin， and direct bilirubin）， liver fibrosis markers （the content of Hyp and the expression levels of alpha-smooth muscle actin， tumor necrosis factor-α， and transforming growth factor-beta 1）， and ductular reaction markers （the expression levels of CK7 and CK19） （all P <0.05）， and compared with the hUC-MSC^OE-EV group， the hUC-MSC^Numb-OE group had significantly greater improvements in the above indicators （all P <0.05）. In addition， compared with the hUC-MSC^OE-EV group， the hUC-MSC^Numb-OE group had significant improvements in the expression levels of liver regeneration-related markers （albumin and hepatocyte nuclear factor 4α） and the molecules associated with the Numb-p53 signaling axis （Numb， pNumb， Mdm2， and p53） （all P <0.05）. ConclusionOverexpression of the Numb gene can enhance the therapeutic effect of hUC-MSC on CLF， possibly by activating the Numb-PTB^L-p53-HNF4α axis， promoting the hepatic differentiation of hUC-MSCs and subsequently enhancing liver regeneration.

ObjectiveTo analyze the differences in color， odor and volatile components of Citri Reticulatae Pericarpium（CRP） before and after being stir-fried with Halloysitum Rubrum， and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the volatile components were analyzed by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）. According to the principle of variable importance in the projection（VIP） value>1.5， volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose， the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum， of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected， including α-pinene， β-myrcene， linalool， sabinene， ocimene isomer mixture， A-ocimene， and δ-elemene. After being processed with Halloysitum Rubrum， the brightness value（L^*）， yellow-blue value（b^*） and total chromatic value（E^*_ab） of CRP were decreased（P<0.01）， and red-green value（a^*） was increased（P<0.01）， the response values of S4， S5， S10 and S13 sensors were significantly increased（P<0.05）， and the response values of S3 and S8 sensors were significantly decreased（P<0.05）. Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L^* and E^*_ab， but positively correlated with a^*. Sabinene was positively correlated with L^* and E^*_ab. Linalool was positively correlated with L^* and E^*_ab， and negatively correlated with a^*. The ocimene isomer mixture was positively correlated with the L^*. ConclusionAfter being processed with Halloysitum Rubrum， the appearance color， odor and volatile components of CRP change significantly， and α-pinene， β-myrcene， sabinene， linalool and A-ocimene are the characteristic volatile components before and after processing， which can provide references for the quality evaluation and clinical application of CRP and its processed products.

ObjectiveTo analyze the differences in color， odor and volatile components of Citri Reticulatae Pericarpium（CRP） before and after being stir-fried with Halloysitum Rubrum， and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the volatile components were analyzed by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）. According to the principle of variable importance in the projection（VIP） value>1.5， volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose， the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum， of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected， including α-pinene， β-myrcene， linalool， sabinene， ocimene isomer mixture， A-ocimene， and δ-elemene. After being processed with Halloysitum Rubrum， the brightness value（L^*）， yellow-blue value（b^*） and total chromatic value（E^*_ab） of CRP were decreased（P<0.01）， and red-green value（a^*） was increased（P<0.01）， the response values of S4， S5， S10 and S13 sensors were significantly increased（P<0.05）， and the response values of S3 and S8 sensors were significantly decreased（P<0.05）. Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L^* and E^*_ab， but positively correlated with a^*. Sabinene was positively correlated with L^* and E^*_ab. Linalool was positively correlated with L^* and E^*_ab， and negatively correlated with a^*. The ocimene isomer mixture was positively correlated with the L^*. ConclusionAfter being processed with Halloysitum Rubrum， the appearance color， odor and volatile components of CRP change significantly， and α-pinene， β-myrcene， sabinene， linalool and A-ocimene are the characteristic volatile components before and after processing， which can provide references for the quality evaluation and clinical application of CRP and its processed products.

This paper proposes a motor imagery recognition algorithm based on feature fusion and transfer adaptive boosting (TrAdaboost) to address the issue of low accuracy in motor imagery (MI) recognition across subjects, thereby increasing the reliability of MI-based brain-computer interfaces (BCI) for cross-individual use. Using the autoregressive model, power spectral density and discrete wavelet transform, time-frequency domain features of MI can be obtained, while the filter bank common spatial pattern is used to extract spatial domain features, and multi-scale dispersion entropy is employed to extract nonlinear features. The IV-2a dataset from the 4 ^th International BCI Competition was used for the binary classification task, with the pattern recognition model constructed by combining the improved TrAdaboost integrated learning algorithm with support vector machine (SVM), k nearest neighbor (KNN), and mind evolutionary algorithm-based back propagation (MEA-BP) neural network. The results show that the SVM-based TrAdaboost integrated learning algorithm has the best performance when 30% of the target domain instance data is migrated, with an average classification accuracy of 86.17%, a Kappa value of 0.723 3, and an AUC value of 0.849 8. These results suggest that the algorithm can be used to recognize MI signals across individuals, providing a new way to improve the generalization capability of BCI recognition models.
Brain-Computer Interfaces ; Humans ; Support Vector Machine ; Algorithms ; Neural Networks, Computer ; Imagination/physiology* ; Pattern Recognition, Automated/methods* ; Electroencephalography ; Wavelet Analysis

Flexible conductive fibers have been widely applied in wearable flexible sensing. However, exposed wearable flexible sensors based on liquid metal (LM) are prone to abrasion and significant conductivity degradation. This study presented a high-sensitivity LM conductive fiber with integration of strain sensing, electrical heating, and thermochromic capabilities, which was fabricated by coating eutectic gallium-indium (EGaIn) onto spandex fibers modified with waterborne polyurethane (WPU), followed by thermal curing to form a protective polyurethane sheath. This fiber, designated as Spandex/WPU/EGaIn/Polyurethane (SWEP), exhibits a four-layer coaxial structure: spandex core, WPU modification layer, LM conductive layer, and polyurethane protective sheath. The SWEP fiber had a diameter of (458.3 ± 10.4) μm, linear density of (2.37 ± 0.15) g/m, and uniform EGaIn coating. The fiber had excellent conductivity with an average value of (3 716.9 ± 594.2) S/m. The strain sensing performance was particularly noteworthy. A 5 cm × 5 cm woven fabric was fabricated using polyester warp yarns and SWEP weft yarns. The fabric exhibited satisfactory moisture permeability [(536.06 ± 33.15) g/(m ²·h)] and maintained stable thermochromic performance after repeated heating cycles. This advanced conductive fiber development is expected to significantly promote LM applications in wearable electronics and smart textile systems.
Wearable Electronic Devices ; Polyurethanes/chemistry* ; Electric Conductivity ; Gallium/chemistry* ; Metals/chemistry*

Objective: To investigate the independent prognostic factors affecting disease-free survival(DFS) after radical surgery in Ⅱ and Ⅲ adenocarcinoma of gastroesophageal junction(AEG) patients, and to construct a nomogram prediction model. Methods : A retrospective analysis was conducted on a cohort comprising 326 patients who were diagnosed with AEG. Chi-square test was used for categorical variable analysis. The survival analysis was drawn by Kaplan-Meier method and tested by log-rank method. Univariate and multivariate Cox regression analyses identified independent prognostic factors, and based on these factors, a nomogram was constructed to predict 3-year and 5-year DFS in AEG patients. The calibration curves evaluated the performance of nomogram. Results: Among 326 AEG patients, 281 were in the young group(<70 years old) and 45 were in the old group(≥70 years old). Kaplan-Meier curve showed that patients with advanced age, TNM stage Ⅰ-Ⅱ and no history of hepatitis B had longer DFS. Univariate and multivariate analysis showed that age, TNM stage and history of hepatitis B were independent prognostic factors for DFS. The 3-year and 5-year correction curves showed that the prediction efficiency of nomogram was good. The decision curve analysis showed that the model had a good clinical net benefit. Conclusion Age, TNM stage and history of hepatitis B are independent prognostic factors for DFS in AEG patients. The nomogram constructed and validated can be used to predict DFS in AEG patients.

Objective To explore the effect of Echinetin(ECH)pretreatment on alleviating intestinal bar-rier dysfunction caused by severe acute pancreatitis(SAP).Methods Totally 36 rats were randomly divided into Sham group,SAP group and SAP+ECH group,with 12 rats in each group.Pancreatitis was induced by retrograde injection of 3％sodium taurocholate into pancreatic duct.Histological examination was performed on the pancreas of experimental rats to determine whether the pancreatitis model of rats was successfully con-structed.Intestinal barrier function was evaluated by intestinal pathological scores,serum diamine oxidase(DAO)activity and endotoxin levels,and bacterial translocation in mesenteric lymph nodes.The mRNA and protein expression levels of tight junction proteins ZO-1 and occludin were detected by quantitative fluorescent PCR(qPCR)and Western blot,and the protein expression levels of high mobility frame-1 protein(HMGB1),Toll-like receptor 4(TLR4)and protein kinase R(PKR)were detected by Western blot.Results ECH had no significant effect on the histological changes of pancreas,but could improve the intestinal mucosal barrier damage and membrane permeability associated with SAP.Although ECH does not affect the mRNA expres-sion levels of ZO-1 and occludin in ileum of SAP rats,it could significantly increase the expression levels of ZO-1 and occludin,and ECH treatment could significantly reduce the expression levels of HMGB1,TLR4 and PKR in ileum of SAP rats.Conclusion ECH can reduce the intestinal barrier dysfunction induced by SAP,and its effect on intestinal barrier function may be related to the inhibition of the HMGB1/TLR4/PKR pathway.

Objective To investigate the value of gut metabolites in predicting the development of severe acute pancreatitis(SAP),myocardial injury,and adverse outcomes in patients with acute pancreatitis(AP).Methods A total of 80 SAP patients admitted to Cangzhou Hospital of Integrated Chinese and Western Medicine from April 2023 to April 2024 were selected as the severe group,and 80 non-severe AP patients were selected as the non-severe group.The levels of serum amylase,lipase,acetic acid,propionic acid,butyric acid,and total short-chain fatty acids(SCFAs)in feces,serum bile acid(BA),trimethylamine n-oxide(TMAO),myocardial injury-related indicators[creatine kinase isoenzymes(CK-MB),cardiac troponin T(cTnT),N-terminal pro-b-type natriuretic peptide(NT-proBNP)],C-reactive protein(CRP),acute physiology and chronic health evaluation II(APACHE II)and bedside index for severity in acute pancreatitis(BISAP)were compared between the two groups at admission.Patients in the severe group were followed up for 30 days and divided into a survival subgroup(n=61)and a non-survival subgroup(n=19)based on their prognosis.The levels of total SCFAs,BA,and TMAO were compared between these two subgroups.Spearman correlation analysis was used to analyze the correlation of serum amylase,lipase,total SCFAs,BA,and TMAO levels with myocardial injury-related indicators and disease severity scores in all patients.Multivariate logistic regression analysis was used to identify the influencing factors for the occurrence of SAP.Receiver operating characteristic(ROC)curve analysis was used to evaluate the predictive value of total SCFAs,BA,TMAO,and their combination for the occurrence of SAP.Results Compared with the non-severe group,the severe group had significantly lower levels of acetic acid,propionic acid,butyric acid,and total SCFAs(P<0.01),and significantly higher levels of BA,TMAO,CK-MB,cTnT,NT-proBNP,CRP,and APACHE II and BISAP scores.Within the severe group,the non-survival subgroup had significantly lower levels of total SCFAs(P<0.05)and significantly higher levels of BA and TMAO(P<0.05)compared to the survival subgroup.Spearman analysis showed that the levels of CK-MB,cTnT,NT-proBNP,CRP,and the APACHE II and BISAP scores were negatively correlated with total SCFAs levels and positively correlated with BA and TMAO levels(P<0.001).Multivariate logistic regression analysis revealed that total SCFAs,BA,and TMAO were independent influencing factors for the occurrence of SAP(P<0.05).ROC curve analysis showed that the area under the curve(AUC)for total SCFAs,BA,TMAO,and their combination in predicting the occurrence of SAP were 0.951,0.797,0.790,and 0.974,respectively(P<0.001).The AUC for the combination of the three markers was larger than that of any single marker,indicating good predictive efficacy.Conclusion The levels of gut metabolites SCFAs,BA,and TMAO in SAP patients are independent factors associated with myocardial injury and prognosis.

Objective To investigate the basic situation and occupational health conditions of nuclear medicine radiation workers in Jiangsu Province based on the research protocol developed by the Institute of Radiation Medicine, Chinese Academy of Medical Sciences for the nationwide study on the health effects of nuclear medicine radiation in China, understand the impact of occupational radiation on the physical health of nuclear medicine radiation workers, and provide a basis for improving the occupational protection of nuclear medicine radiation workers and reducing the risk of occupational radiation-related health issues. Methods A census approach was used to collect general data and occupational health information of nuclear medicine radiation workers in Jiangsu Province. The analysis focused on the abnormalities in physical examination indicators among radiation workers of different genders, ages, and working years to evaluate the health effects of occupational radiation exposure. Results The occupational health examination data of 472 nuclear medicine radiation workers were collected from 76 medical institutions in Jiangsu Province. The results showed that the detection rate of abnormal hypothyroidism in female workers (8.90%) was higher than that in male workers (2.54%) (P=0.028). With increasing working years, the detection rates of cataract and continuous decrease in white blood cell count increased (P＜0.001). The multivariate logistic regression identified working years as a risk factor for cataract and continuous decrease in white blood cell count (OR=1.59, 95%CI=1.40-3.35, P=0.0003; OR=4.15, 95%CI=3.11-29.91, P=0.0001). In addition, working years was also a risk factor for hypertension, fatty liver, and tumor (OR=2.28, 95%CI=1.51-3.47, P=8.76 × 10⁻⁵; OR=1.69, 95%CI=1.10-2.58, P=0.0145; OR=2.04, 95%CI=1.00-4.16, P=0.0469). Conclusion The study found that working in nuclear medicine could increase the risk of various radiation-related diseases, and the risk is influenced by factors such as working years.