Objective To explore the safety and feasibility of 5G remote robot-assisted thoracoscopic anatomic lobectomy and segmentectomy. Methods A retrospective analysis was conducted on patients who underwent 5G remote robot-assisted thoracoscopic anatomic lobectomy or segmentectomy between July and September 2024. The surgeries were performed collaboratively by Shanghai Chest Hospital, Affiliated Hospital of Yangzhou University, and The First Affiliated Hospital of Nanchang University. Perioperative outcomes were recorded and analyzed. Results Ten patients were included, comprising 4 anatomic lobectomies and 6 segmentectomies. The median age was 61.0 (56.0, 72.0) years. The median intraoperative bi-directional network latency was 52.5 (39.0, 54.0) ms. There were no instances of network interruption, robot-related adverse events, or conversions to open thoracotomy. The median postoperative chest tube drainage volume was 500.0 (375.0, 600.0) mL, and the median hospital stay was 5.5 (4.0, 6.0) days. No complications of Clavien-Dindo grade Ⅱor higher occurred. All patients were recurrence-free and alive during the 6-month postoperative follow-up period. Conclusion 5G remote robot-assisted thoracoscopic surgery demonstrates high safety and operational stability. This technology shows promising potential for clinical application and is worthy of further development and utilization.

Objective To study the characteristics of gait behavior in a mouse model of chronic ankle instability and provide a reference for the study of the mechanism of chronic ankle instability as well as drug screening and evaluation.Methods Thirty C57BL/6J male mice were randomly divided into a control group(n=15)and an injury group(n=15).In the control group,the ankle joint underwent sham operation,and in the injury group,the anterior talofibular ligament and calcaneofibular ligament of the left ankle joint were transected.Gait parameters were analyzed in each group using TreadScan passive gait analysis system.Results Compared with the control group,the injury group showed a 28.43％increase(P＜0.05)in average standing time and a 23.07％increase(P＜0.05)in the percentage of standing time,whereas the average swing time and the percentage of swing time were shortened by 50.63％(P＜0.001)and 19.75％(P＜0.01),respectively.The average braking time and average stride time in the injury group were also shortened by 18.37％(P＜0.01)and 37.86％(P＜0.001),respectively.The injury group exhibited a decrease in step length,anterior-posterior step width,and mediolateral step width by 36.96％,13.66％,and 8.10％,respectively.The total movement speed and instantaneous speed decreased by 8.05％and 11.12％,respectively,while the stride frequency increased by 51.41％.The average footprint area and average maximum standing area decreased by 8.8％and 13.24％,respectively,and foot pressure decreased by only 3％.The plantar pressure distribution in the injury group was uneven,with a more obvious decrease in plantar pressure in the hindfoot,especially a 13.92％decrease in plantar pressure in the right posterior quadrant.Conclusions Mice with chronic ankle instability adopt a more conservative walking pattern during the motion,reducing movement volume and amplitude to improve coordination and stability during walking.

Objective To investigate the risk factors for stroke-associated pneumonia(SAP)in patients with acute anterior circulation large-vessel occlusion stroke after endovascular treatment(EVT).Methods A total of 115 patients with acute anterior circulation large-vessel occlusion stroke who received EVT in the Department of Neurology,The First Affiliated Hospital of Xi'an Jiaotong University,from March 2022 to May 2023 were continuously included.Their clinical data were retrospectively collected.The patients were divided into SAP group(55 cases)and non-SAP group(60 cases)according to the occurrence of SAP after the operation.Differences in baseline data,surgical and perioperative indicators were compared between the two groups,and the risk factors for SAP after EVT were analyzed using the multivariate Logistic regression analysis.Results Univariate analysis showed there were significant differences in the Glasgow Coma Scale(GCS)score and the National Institute of Health Stroke Scale(NIHSS)score at admission,incidence of dysphagia,duration of the surgery,proportion of general anesthesia,rate of unsuccessful vascular recanalization and the rate of immediate CT high-density sign between SAP group and non-SAP group(all P＜0.05).Multivariate Logistic regression analysis of the above indicators showed that duration of the surgery(OR=1.014,95％CI:1.001-1.028,P＜0.05),dysphagia(OR=6.137,95％CI:1.694-22.232,P＜0.01)and unsuccessful vascular recanalization(OR=6.043,95％CI:1.062-34.382,P＜0.05)were independent risk factors for SAP after EVT.Conclusion Long duration of EVT,dysphagia and unsuccessful vascular recanalization are directly related to the occurrence of SAP after EVT in patients with acute anterior circulation large-vessel occlusive infarction.Therefore,targeted measures should be taken as soon as possible to reduce the incidence of SAP after EVT and thus improve the clinical prognosis of these patients.

Objective To explore the relationship between the head injury criterion(HIC)values in anterior-posterior(AP)collisions and lateral-medial(LM)collisions.Methods A total of 102 male SD rats were randomly divided into a control group of 0 m(6 rats),4 AP groups(12 rats/group)and 4 LM groups(12 rats/group).After adaptive training,the classical Marmarou model was used to execute the brain AP and LM collisions under a series of different height impacts,and the HIC values were calculated.The experimental group data of the walk-pole test and grip strength test were collected at 24 hours before and after injury,and the data of the proportion of hemorrhage in the corpus callosum and pyramidal tracts were collected at 24 hours after injury.Results As the collision heights increased in both AP and LM groups,there were positive correlations with changes in WP test time and peak GS,and corresponding increases in the proportion of hemorrhage in the cc and py.According to the mathematical relationships between the comprehensive injury degrees and HIC values,it was found that at the same injury degree,LM-HIC value was less than AP-HIC value.A mathematical relationship between AP-HIC and LM-HIC was fitted based on the comprehensive injury degrees.At the same HIC,LM group experienced more severe injuries,and AP group was more tolerant to head collision.Conclusion The injury severity in LM group is greater than that of AP group at the same HIC.Preliminary results show there is a linear mathematical relationship between AP-HIC and LM-HIC.These results can be expected to expand the application scope of HIC and achieve an accurate assessment of the LM collision severity.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Objective To establish two osteoarthritis models of destabilization of the medial meniscus(DMM)and chronic ankle instability(CAI)in mice,and compare the effects of knee osteoarthritis with varus deformity on ipsilateral ankle cartilage degeneration.Methods Thirty 6-week-old C57BL/6J male mice were randomly divided into a control group and two surgical groups(DMM group and CAI group),respectively.The progression of ankle joint degeneration was quantitatively evaluated through behavioral observation,imaging techniques and histopathology analysis in each group of mice over a 12-week period.Results A decline in gait stability and balance was observed in two surgical groups.Compared to the control group,the time required to cross the balance beam was increased by 23.20％,and the number of slips was increased by 43.26％at 12th week postoperatively in the DMM group.The bone volume fraction and bone mineral density of ankle joints also increased.Meanwhile,wear and tear of the ankle cartilage were found,with the formation of osteophytes,and OARSI score was increased by 88.89％.These changes in ankle joint were more pronounced in the CAI group.Conclusions This mouse model-based study revealed a coupling relationship between the knee and ankle motion.Knee osteoarthritis with varus deformity could lead to a significant ankle joint degeneration,while the damage was less severe than that observed in CAI.

Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P＜0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P＜0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P＜0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P＜0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.

Objective To study the characteristics of gait behavior in a mouse model of chronic ankle instability and provide a reference for the study of the mechanism of chronic ankle instability as well as drug screening and evaluation.Methods Thirty C57BL/6J male mice were randomly divided into a control group(n=15)and an injury group(n=15).In the control group,the ankle joint underwent sham operation,and in the injury group,the anterior talofibular ligament and calcaneofibular ligament of the left ankle joint were transected.Gait parameters were analyzed in each group using TreadScan passive gait analysis system.Results Compared with the control group,the injury group showed a 28.43％increase(P＜0.05)in average standing time and a 23.07％increase(P＜0.05)in the percentage of standing time,whereas the average swing time and the percentage of swing time were shortened by 50.63％(P＜0.001)and 19.75％(P＜0.01),respectively.The average braking time and average stride time in the injury group were also shortened by 18.37％(P＜0.01)and 37.86％(P＜0.001),respectively.The injury group exhibited a decrease in step length,anterior-posterior step width,and mediolateral step width by 36.96％,13.66％,and 8.10％,respectively.The total movement speed and instantaneous speed decreased by 8.05％and 11.12％,respectively,while the stride frequency increased by 51.41％.The average footprint area and average maximum standing area decreased by 8.8％and 13.24％,respectively,and foot pressure decreased by only 3％.The plantar pressure distribution in the injury group was uneven,with a more obvious decrease in plantar pressure in the hindfoot,especially a 13.92％decrease in plantar pressure in the right posterior quadrant.Conclusions Mice with chronic ankle instability adopt a more conservative walking pattern during the motion,reducing movement volume and amplitude to improve coordination and stability during walking.

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.

Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P＜0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P＜0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P＜0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P＜0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.