ObjectiveTo investigate the effect of Dingzhi Xiaowan （DZXW） in post-stroke cognitive impairment （PSCI） model mice. MethodsThe cerebral ischemia-reperfusion injury model of mice was established by using the middle cerebral artery occlusion method. Forty C57BL/6 male mice were randomly divided into the sham operation group， model group， low-dose DZXW group （1.43 g·kg^-1）， and high-dose DZXW group （2.56 g·kg^-1）， with 10 mice in each group. Both the sham operation group and the model group were treated with equal amounts of normal saline by gavage， and the above four groups of mice were gavaged once a day for 30 consecutive days. Morris water maze test was used to evaluate the learning memory ability of mice. Serum levels of amyloid precursor protein （APP）， amyloid 42 （Aβ₄₂）， acetylcholinesterase （AChE）， and superoxide dismutase （SOD） were measured by enzyme-linked immunosorbent assay （ELISA）. Deoxyribonucleotide end transferase-mediated nick end labelling （TUNEL） assay was applied to detect the degree of apoptosis in the mouse's hippocampal neurons. Western blot was used to detect the protein expression of phosphoinositol-3 kinase （PI3K）， protein kinase B （Akt）， mammalian target of rapamycin （mTOR）， hypoxia-inducible factor 1-alpha （HIF-1α）， B-cell lymphoma 2 （Bcl-2） homologous structural domain protein （Beclin1）， sequestosome 1 （p62）， microtubule-associated protein light chain 3 （LC3）， Bcl-2， and Bcl-2-associated X protein （Bax） in hippocampal tissue. Prussian blue staining was used to detect iron deposition in hippocampal tissue. Transmission electron microscopy was taken to observe the ultrastructure of the mouse's hippocampal neurons. ResultsCompared with the sham operation group， the latency， APP， Aβ₄₂， AChE， TUNEL positivity， ferric ion deposition， HIF-1α， Beclin1， Bax， and LC3Ⅱ/Ⅰ were significantly increased in the model group （P<0.01）， while the number of crossing platforms， SOD， p-PI3K， p-Akt， p-mTOR， p62， and Bcl-2 were significantly decreased （P<0.01）. Compared with the model group， the latency， APP， Aβ₄₂， AChE， TUNEL positivity rate， ferric ion deposition， HIF-1α， Beclin1， Bax， and LC3Ⅱ/Ⅰ were significantly reduced in the DZXW groups （P<0.05）， while the number of crossing platforms， SOD， p-PI3K， p-Akt， p-mTOR， p62， and Bcl-2 were significantly higher （P<0.05）. ConclusionDZXW can alleviate cognitive impairment induced by oxidative stress-aggravated hippocampal neuronal damage in PSCI model mice by modulating the PI3K/Akt/mTOR/HIF-1α autophagy signalling pathway.

Osteoarthritis （OA） and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan， a classic prescription in Tibetan medicine， have the functions of clearing heat， awakening the brain and opening orifices， relaxing tendons and promoting meridian circulation， and eliminating yellow water. Clinically， they are used to treat osteoarthritis， post-stroke sequelae， neuropathic pain， and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory， analgesic， and nerve-repairing effects. However， current research remains insufficient regarding the appropriate indications， timing， and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use， a panel of national experts， including clinical specialists， Tibetan medicine practitioners， pharmacologists， and methodologists， formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system， and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan， including therapeutic indications， dosage and administration， treatment duration， and medication safety. The consensus specifically addresses the clinical efficacy， appropriate timing of administration， dosage strategies， treatment cycles， and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke， reduce medication-related risks， and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine， with the standard number GS/CACM 369-2024.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objectives:To compare the intraoperative neurophysiological monitoring(IONM)results during 3-column osteotomy surgery in severe congenital scoliosis(CS)patients with or without intraspinal anomalies,and to explore the effect of intraspinal anomaly on the incidence of IONM alarm events and postoperative out-comes in CS patients.Methods:Clinical data of patients with severe CS who underwent 3-column osteotomy surgery in our hospital from September 2020 to May 2023 were retrospectively analyzed.The patients were divided into two groups according to whether combined with intraspinal anomalies.The basic information,the latency and amplitude of somatosensory evoked potentials(SSEPs)of both lower extremities,amplitude of tran-scranial electric motor evoked potentials(TCeMEPs),as well as the sensitivity and specificity of multimodal IONM were compared between the two groups.The incidence of IONM alarm events and postoperative out-comes were analyzed.Results:A total of 37 patients who met the criteria were included in the study,of which 14 patients combined with intraspinal anomalies,including 8 cases of syringomyelia,2 case of tethered cord,1 case of diastematomyelia,1 case of diastematomyelia combined with tethered cord,and 2 cases of sy-ringomyelia combined with tethered cord.The latency of SSEPs-P3 7 in the concave side lower extremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without intraspinal anomalies(40.9±3.3ms vs 38.0±3.7ms,P=0.03).In addition,the sensitivity and specificity of multimodal IONM were comparable between the two groups.There was no significant difference in the incidence of abnormal SSEPs,the incidence of IONM alarm events and the incidence of postoperative neurological symptoms between the two groups(P＞0.05).Conclusions:Multimodal IONM provides excellent monitoring effects in severe CS paitents undergoing 3-column osteotomy surgery.The latency of SSEPs-P37 in the concave side lower ex-tremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without in-traspinal anomalies.Intraspinal anomalies don't increase the incidence of intraoperative IONM alarm events or the incidence of postoperative neurological complications.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objectives:To compare the intraoperative neurophysiological monitoring(IONM)results during 3-column osteotomy surgery in severe congenital scoliosis(CS)patients with or without intraspinal anomalies,and to explore the effect of intraspinal anomaly on the incidence of IONM alarm events and postoperative out-comes in CS patients.Methods:Clinical data of patients with severe CS who underwent 3-column osteotomy surgery in our hospital from September 2020 to May 2023 were retrospectively analyzed.The patients were divided into two groups according to whether combined with intraspinal anomalies.The basic information,the latency and amplitude of somatosensory evoked potentials(SSEPs)of both lower extremities,amplitude of tran-scranial electric motor evoked potentials(TCeMEPs),as well as the sensitivity and specificity of multimodal IONM were compared between the two groups.The incidence of IONM alarm events and postoperative out-comes were analyzed.Results:A total of 37 patients who met the criteria were included in the study,of which 14 patients combined with intraspinal anomalies,including 8 cases of syringomyelia,2 case of tethered cord,1 case of diastematomyelia,1 case of diastematomyelia combined with tethered cord,and 2 cases of sy-ringomyelia combined with tethered cord.The latency of SSEPs-P3 7 in the concave side lower extremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without intraspinal anomalies(40.9±3.3ms vs 38.0±3.7ms,P=0.03).In addition,the sensitivity and specificity of multimodal IONM were comparable between the two groups.There was no significant difference in the incidence of abnormal SSEPs,the incidence of IONM alarm events and the incidence of postoperative neurological symptoms between the two groups(P＞0.05).Conclusions:Multimodal IONM provides excellent monitoring effects in severe CS paitents undergoing 3-column osteotomy surgery.The latency of SSEPs-P37 in the concave side lower ex-tremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without in-traspinal anomalies.Intraspinal anomalies don't increase the incidence of intraoperative IONM alarm events or the incidence of postoperative neurological complications.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

OBJECTIVE To study the antifungal activity of Huangqin decoction （HQD） against Trichophyton mentagrophytes and explore its mechanism. METHODS Minimal inhibitory concentration （MIC）， minimal fungicidal concentration （MFC）， mycelial length， spore germination rate， biomass and mycelium ultrastructure observation were performed to evaluate the antifungal activity of HQD against T. mentagrophytes. The effects of HQD on the cell wall of T. mentagrophytes were detected through sorbitol protection experiment. By measuring the content of ergosterol and the activities of squalene epoxide （SE） and lanosterol 14α-demethylase （CYP51）， the activity of HQD on the cell membrane of T. mentagrophytes was investigated. The effects of HQD on T. mentagrophytes mitochondria were investigated by determining the activities of malate dehydrogenase （MDH）， succinate dehydrogenase （SDH）， and ATPases （including sodium potassium ATPase， calcium magnesium ATPase， and total ATPase）. RESULTS HQD exhibited significant antifungal activity against T. mentagrophytes with MIC of 3.13 mg/mL and MFC of 25 mg/mL. After intervention with HQD， the mycelial length of T. mentagrophytes was significantly shortened （P＜0.05）； spore germination rate， biomass， the content of ergosterol in the cell membrane， the activities of SE and CYP51 in the cell membrane and MDH， SDH and ATPase in mitochondria were all decreased significantly （P＜0.05）； cell structure had been ；damaged to a certain extent， but the integrity of the cell wall had not been affected. CONCLUSIONS HQD shows significant antifungal activity against T. mentagrophytes， the mechanism of which may be associated with reducing the 0791- content of ergosterol in the cell membrane and the activities of SE， CYP51， and mitochondria-related enzymes.