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 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 analyze the changing trend of incidence and prevalence of pneumoconiosis globally, and provide scientific basis for the formulation of health policy.Methods:In June 2022, through the Global Health Data exchange (GHDx) query tool (http: //ghdx.healthdata.org/gbd-results-tool) , the pneumoconiosis incidence and prevalence data was downloaded and organized. Estimated annual percentage change (EAPC) and age-standardized rate (ASR) were used to estimate the trends of pneumoconiosis from 1990 to 2019. EAPC was estimated by linear regression model based on ASR.Results:The overall ASR of the incidence and prevalence of pneumoconiosis decreased from 1990 to 2019, and their EAPCs were-0.85% (95% CI: -1.11%--0.60%) and -0.78% (95% CI: -1.08%--0.49%) . Over the past 30 years, the incidence and prevalence of pneumoconiosis in all SDI areas showed decreasing trends, especially in high SDI areas, their EAPCs were -1.46% (95% CI: -1.76%--1.15%) and -1.99% (95% CI: -2.44%--1.53%) . 110 countries/areas showed increasing trends in age standardized incidence rate (ASIR) , with Iran and Georgia showing the most pronounced upward trend, their EAPCs were 5.32% (95% CI: 4.43%-6.22%) and 4.39% (95% CI: 3.81%-4.97%) . 125 countries/areas showed anincreasing trends in prevalence ASR, with Iran had the fastest rise in prevalence (EAPC=6.40%, 95% CI: 5.33%-7.49%) . Conclusion:Although decreasing trends in the burden of pneumoconiosis are observed globally from 1990 to 2019, but the burden of pneumoconiosis in low-and middle-income countries or regions are still heavy. We need more effective strategies to prevent and reduce the burden of pneumoconiosis.

To conduct timely surveillance of the seasonal characteristics and disease burden of Human Respiratory Syncytial Virus (HRSV) in various geographical regions of China, and further develop more precise and effective prevention and intervention strategies, there is an urgent need for China to establish a nationwide, effective, and stable HRSV surveillance system. Through combining the current status of domestic and international HRSV surveillance systems and the existing surveillance framework in China, this study proposed an HRSV surveillance type applicable to China based on different surveillance purposes, and considering the feasibility of implementation. This article aimed to provide solid scientific and technical support to monitor the dynamic changes of HRSV epidemic timely, carry out a risk assessment and early warning, and further understand the disease burden of HRSV in China. It also helps to improve the diagnosis, prevention, and control of the HRSV diseases research and development, use, and evaluation of HRSV vaccines and drugs in China.

To conduct timely surveillance of the seasonal characteristics and disease burden of Human Respiratory Syncytial Virus (HRSV) in various geographical regions of China, and further develop more precise and effective prevention and intervention strategies, there is an urgent need for China to establish a nationwide, effective, and stable HRSV surveillance system. Through combining the current status of domestic and international HRSV surveillance systems and the existing surveillance framework in China, this study proposed an HRSV surveillance type applicable to China based on different surveillance purposes, and considering the feasibility of implementation. This article aimed to provide solid scientific and technical support to monitor the dynamic changes of HRSV epidemic timely, carry out a risk assessment and early warning, and further understand the disease burden of HRSV in China. It also helps to improve the diagnosis, prevention, and control of the HRSV diseases research and development, use, and evaluation of HRSV vaccines and drugs in China.

Liver fibrosis and cirrhosis are the common outcomes of various chronic liver diseases after progression,and studies have shown that liver fibrosis and early liver cirrhosis can be reversed.Compound traditional Chinese medicine prescriptions have a marked therapeutic effect in reversing liver fibrosis and early liver cirrhosis,and their mechanism of action remains unclear.By reviewing related articles in China and globally,this article summarizes the six main phenotypic mechanisms involved in the efficacy of compound traditional Chinese medicine prescriptions,i.e.,inhibiting liver inflammation and regulating liver immune response,regulating hepatic stellate cell activation and extracellular matrix(ECM)generation,promoting ECM degradation,reversing hepatic sinusoidal capillarization,regulating hepatocyte regeneration,and regulating gut microbiota,and in addition,this article also analyzes the advances and shortcomings in current studies on each phenotype.Future studies on compound traditional Chinese medicine prescriptions should focus on experimental exploration and rescue experiments to verify the above phenotypes and further explore the upstream and downstream signaling pathways with a marked effect.This article aims to help clarify the direction and ideas of studies on the therapeutic mechanism of compound traditional Chinese medicine prescriptions,in order to provide a basis for clarifying the scientific essence of compound traditional Chinese medicine prescriptions.