ObjectiveTo analyze the current status, hotspot and development trends of rehabilitation technologies for post-stroke dysphagia (PSD). MethodsLiteratures related to rehabilitation technologies for PSD were retrieved from CNKI, VIP and Web of Science Core Collection from inception to July, 2025. Visualization analysis was conducted using CiteSpace 6.3.R1 and VOSviewer 1.2.20. ResultsA total of 1 265 articles were included, consisting of 794 Chinese and 471 English publications. The annual volume of Chinese literature peaked in 2019 (74 articles) and English literature peaked in 2022 (61 articles). Research hotspots included low-frequency surface neuromuscular electrical stimulation, repetitive transcranial magnetic stimulation, surface electromyography biofeedback and transcranial direct current stimulation. Keyword clustering and timeline analysis indicated that researches evolved from early traditional rehabilitation methods to the diversified and integrated application of combined rehabilitation technologies. ConclusionResearch on rehabilitation technologies for PSD is developing rapidly. Future efforts should focus on researches of multi-technology integration, individualized treatment protocols and long-term efficacy assessments.

ObjectiveTo analyze the current status, hotspot and development trends of rehabilitation technologies for post-stroke dysphagia (PSD). MethodsLiteratures related to rehabilitation technologies for PSD were retrieved from CNKI, VIP and Web of Science Core Collection from inception to July, 2025. Visualization analysis was conducted using CiteSpace 6.3.R1 and VOSviewer 1.2.20. ResultsA total of 1 265 articles were included, consisting of 794 Chinese and 471 English publications. The annual volume of Chinese literature peaked in 2019 (74 articles) and English literature peaked in 2022 (61 articles). Research hotspots included low-frequency surface neuromuscular electrical stimulation, repetitive transcranial magnetic stimulation, surface electromyography biofeedback and transcranial direct current stimulation. Keyword clustering and timeline analysis indicated that researches evolved from early traditional rehabilitation methods to the diversified and integrated application of combined rehabilitation technologies. ConclusionResearch on rehabilitation technologies for PSD is developing rapidly. Future efforts should focus on researches of multi-technology integration, individualized treatment protocols and long-term efficacy assessments.

ObjectiveTo analyze the current status, hotspot and development trends of rehabilitation technologies for post-stroke dysphagia (PSD). MethodsLiteratures related to rehabilitation technologies for PSD were retrieved from CNKI, VIP and Web of Science Core Collection from inception to July, 2025. Visualization analysis was conducted using CiteSpace 6.3.R1 and VOSviewer 1.2.20. ResultsA total of 1 265 articles were included, consisting of 794 Chinese and 471 English publications. The annual volume of Chinese literature peaked in 2019 (74 articles) and English literature peaked in 2022 (61 articles). Research hotspots included low-frequency surface neuromuscular electrical stimulation, repetitive transcranial magnetic stimulation, surface electromyography biofeedback and transcranial direct current stimulation. Keyword clustering and timeline analysis indicated that researches evolved from early traditional rehabilitation methods to the diversified and integrated application of combined rehabilitation technologies. ConclusionResearch on rehabilitation technologies for PSD is developing rapidly. Future efforts should focus on researches of multi-technology integration, individualized treatment protocols and long-term efficacy assessments.

Objective To establish quality evaluation method of Andrographis paniculata standard decoction by UPLC. Methods 21 batches of Andrographis paniculata standard decoctions were prepared according to the standardization method of TCM decoction pieces. The UPLC characteristic chromatograms analysis method was established. With andrographolide as a reference, quantitative analysis of multi-components by single marker （QAMS） was established for new neoandrographolide, 14 deoxyandrographolide and dehydrated andrographolide. The results were compared with the external standard method （ESM） to determine the accuracy of the method. Results Similarity Evaluation System for Chromatographic Fingerprint of TCM （2012 edition） was used to analyze and compare the characteristic chromatograms, and seven common peaks were determined and five were identified including luteolin-7-O-β-D-glucuronide, andrographolide, neoandrographolide, 14-deoxyandrographolide and dehydroandrographolide. The RSDs of content results of each component by QAMS and ESM were all within 3%. Conclusion The determination method was reliable and accurate, which could be used to reflect the intrinsic quality of Andrographis paniculata standard decoction comprehensively and provide the basis for the quality evaluation of Andrographis paniculata formula granules and other preparations.

Traditional mass measurement methods are not applicable in microgravity environments,and the main challenge for in-orbit body mass measurement technology based on inertial principles is to address the random errors brought about by the weightless environment.These include additional torques due to shifts in the center of mass,nonlinear accelerations due to non-rigid human bodies,mechanical energy consumption due to organ vibrations,and random vibrations of the measurement device itself.To address the above difficulties,the project proposes a technical scheme based on the principle of linear acceleration,designs and constructs a ground-specific air-floating experimental and simulation platform,studies key data such as motion trajectory,acceleration change,and vibration frequency amplitude during the mass measurement process,and simulates the changes in the center of mass and random vibrations of the human body in a weightless environment.The project has designed an adjustable posture bracket to adapt to changes in the center of mass,enhance body restraint,and greatly reduce shaking;it has also developed an integrated four-bar linkage motion guidance mechanism,high-precision integrated photoelectric distance measurement,and modular motion constant force measurement device to ensure the accurate measurement of acceleration and constant force data.The product has undergone simulation calculations,ground human applicability tests,and in-orbit applicability verification in the space station.Ground test results show that the device achieves a body mass measurement accuracy better than 0.5%,and the dispersion is better than 0.38%;after flight mission verification and evaluation,the in-orbit body mass measurement dispersion is less than 0.4%,which is superior to the SLAMMD,a mass measurement device of the same principle on the International Space Station,and is at the forefront internationally,achieving accurate body mass measurement.

Addressing the challenge of traditional physical/semi physical simulation methods being difficult to achieve full process and full element simulation of extravehicular activities,virtual reality technology is utilized to break through the limitations of physical environments and establish a virtual reality simulation system for extravehicular activities.Based on the application characteristics of space station extravehicular activity engineering,with the goal of improving system practicality and usability,integrating the visual immersion of virtual images,the ontology of real operation,and the consistency of virtual and real space perception,a three-dimensional scene simulation,multi-mode joystick interaction paradigm,continuous operation actions simulation of extravehicular operations,and interactive operation virtual/real space consistency method that were proposed and designed for the realistic visual perception and extravehicular operation.The system has been successfully applied to astronaut training,program validation,joint exercise,and flight control support for sixteen extravehicular activities from SZ-12 to SZ-18.The results showed that the complete reproduction of the static/dynamic realistic comprehensive scene was achieved on the ground for the human-machine operation in the entire process of extravehicular activity,and the system is an essential and important means of ground simulation for extravehicular activity.

Objective To explore the role in sleep staging from blood volume pulse(BVP)and triaxial acceleration(ACC)of body movement obtained by wristband.Methods The BVP and ACC obtained by Empatica E4 wristband were used from all 100 cases of sleep disorder subjects in the DREAMT public database.Two frequency domain characteristics(eS,LF/HF)and one time domain characteristic(vA)of the BVP baseline and the activity counts(CS)of the ACC were used for sleep-awakening classification based on random forest.Results The results of sleep-awakening classification of all 100 cases of sleep disorder subjects were obtained by leaving-one-out strategy.The accuracy is 79.8%and the Kappa coefficient is 0.56 by 4 features from BVP and ACC;the accuracy is 70.4%and the Kappa coefficient is 0.36 by 3 features of BVP;the accuracy is 75.1%and the Kappa coefficient is 0.47 based on activity counts.Conclusion The BVP and ACC obtained by the wristband can be used for the rough estimation of sleep and awakening for sleep disorder subjects,among which the importance of ACC is higher than that of BVP.

To investigate the bone health status and potential influencing factors of bone mineral density in adult patients with hemophilia, providing a reference for improving their bone health and for the prevention, treatment, and rehabilitation intervention of osteoporosis.

Traditional Chinese medicine (TCM) is characterized by complex, multicomponent herbal formulations that challenge the conventional“one drug, one target” paradigm. Network pharmacology, through the construction of multilayered drug-target-disease networks, provides a systematic framework for unraveling TCM’s multitarget and multipathway mechanisms. Recent advancements in artificial intelligence, particularly large language models (LLMs), further enhance data integration, target identification, and clinical decision-making. This review synthesizes current progress in the application of network pharmacology and LLMs in TCM, highlighting their potential to deepen mechanistic insights and optimize drug discovery. By bridging traditional medical wisdom with modern computational tools, this integrative approach aims to advance the scientific validation of TCM and foster innovative healthcare solutions.

Objective To predict the potential distribution area of Halenia elliptica under current and future climate conditions;To provide a foundation for the sustainable utilization and cultivation of H.elliptica resources.Methods Based on 116 occurrence records and 36 environmental variables,this study employed correlation analysis and contribution rates to identify 10 key environmental factors of H.elliptica.The MaxEnt model,combined with Geographic Information Systems(GIS),was used to predict the potential suitable areas for H.elliptica under current and different future climate scenarios,and centroid shift analysis was performed using SDM_toolbox.Results The MaxEnt model predicted accurately,with an area under the receiver operating characteristic(ROC)curve of 0.968.Altitude,annual precipitation and mean temperature of the coldest season were identified as the primary influencing factors.The current suitable area for H.elliptica was approximately 176.04×104 km2.In the future climate conditions,the suitable habitat of H.elliptica will be moderately adjusted,especially in Sichuan and Xizang.Conclusion In the future,the suitable potential distribution areas for H.elliptica in China will increase,and there will be slight differences in the increment of different suitable potential distribution areas.This study can provide a basis for resource conservation and sustainable utilization,and highlight the importance of dynamic ecological monitoring in the context of global warming.