Objective Exploring the mechanism of"Wushen acupuncture"in alleviating chronic fatigue in rats from the perspective of mitophagy.Methods Forty male Wistar rats were randomly allocated into a normal group and a modeling group,where the latter employed a protocol combining exhaustive swimming with tail-clamping stimuli to induce a rat model of chronic fatigue.Post-modeling,the normal group was subdivided randomly into a blank group and a presumed control group with specifics requiring clarification.Meanwhile,the modeling group was further randomized into a model group,a"Wushen acupuncture"group that underwent acupuncture at the Baihui and Sishencong points,and a non-acupoint control group,in which acupuncture was applied to 5 mm behind houshencong which is non-meridian,non-acupoint sites on the rats' heads and necks.The modeling and treatment outcomes in rats are assessed via the tail suspension test.Protein relative expression levels of adenosine 5'-monophosphate-activated protein kinase(AMPK),mammalian target of rapamycin(mTOR),and peroxisome proliferator-activated receptor γ coactivator 1-alpha(PGC-1α)in rat skeletal muscle were detected using Western blot.Meanwhile,the relative mRNA expression levels of PTEN induced putative kinase 1(PINK1)and Parkin were measured by Real-Time PCR.Results In contrast to the baseline cohort,rats in the induced fatigue model displayed a reduction in struggles,struggle duration,swaying frequency,and swaying duration(P<0.05).When juxtaposed against the fatigue-induced model group,the"Wushen acupuncture"intervention cohort manifested a substantial increase in these behavioral parameters(P<0.05).Furthermore,relative to the"Wushen acupuncture"intervention group,the non-acupoint control cohort showed a decrease in struggles,struggle duration,swaying frequency,and swaying duration(P<0.05).Versus the baseline group,the fatigue-induced model cohort demonstrated a marked decrease in the relative expression levels of AMPK,PGC-1α,PINK1,and Parkin mRNA in skeletal muscle tissue(P<0.05),alongside an increase in mTOR protein expression(P<0.05).Compared to the fatigue-induced model group,the"Wushen acupuncture"intervention led to an increase in the relative expression levels of AMPK,PGC-1α,PINK1,and Parkin mRNA(P<0.05),and a decrease in mTOR protein expression(P<0.05).When juxtaposed against the"Wushen acupuncture"intervention group,the non-acupoint control cohort showed decreased relative expression levels of AMPK,PGC-1α,PINK1,and Parkin mRNA(P<0.05),and increased mTOR protein expression(P<0.05).Conclusion The"Wushen acupuncture"have been shown to enhance the alleviation of chronic fatigue symptoms in rat models and modulate the functionality of mitochondrial autophagy.This therapeutic effect is believed to be mechanistically linked to the regulation of both the PINK1/Parkin pathway and the AMPK/mTOR signaling cascade.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective: To evaluate the efficacy and safety of plasma exchange (PE) in thymoma-associated myasthenia gravis (MG), thereby to provide theoretical support for its application in the treatment of thymoma-associated MG. Methods: A total of 133 patients with thymoma-associated MG admitted from January 2018 to September 2024 were retrospectively analyzed. Patients were matched using propensity score to reduce selection bias, yielding 22 matched pairs for both PE group (n=22) and non-PE group (n=22). Patient characteristics including gender, age of disease onset, course of disease, history of thymoma resection, clinical absolute scores [clinical absolute scores (CAS) and clinical relative scores (CRS)], and synchronized immunotherapy regimen of the two groups were analyzed. The CAS scores before and after treatment were compared between the two groups, and the CRS was used to assess the treatment efficiency. Safety of the two treatment regimens were also compared. Continuous variables were compared using the t-test or ANOVA, while categorical data were compared by the chi-square test. Results: A total of 133 patients were included and divided into two groups according to whether they underwent plasma exchange treatment: the PE group (n=22) and the non-PE group (n=111). To exclude bias caused by large difference in the number of cases between the two groups, we performed propensity score matching. After matching, the number of cases in both groups was 22. There was no significant difference in baseline clinical characteristics between the two groups (P>0.05), including gender, age of onset, duration of disease course, history of thymectomy and baseline CAS score before treatment. Compared to the non-PE group, patients in the PE group showed more significant improvement in CAS score (5.09±1.95 vs 3.59±1.50, P<0.05) and a higher CRS score (75.00% vs 50.00%, P<0.001). Compared to the non-PE group, PE group had significantly longer ICU stay, longer hospital stay and higher hospitalization cost (P<0.05). There was no statistically significant difference in adverse events between the two groups during treatment (P>0.05). During long-term follow-up, both the PE and non-PE groups showed relatively low 1-, 3-, and 5-year recurrence rate, with no significant difference between the two groups (P>0.05). Conclusion: This study indicates that plasma exchange has clear value in the treatment of patients with thymoma-associated myasthenia gravis. It can not only significantly improve patients' muscle strength to alleviate motor dysfunction and enhance quality of life, but also does not significantly increase the incidence of adverse reactions. Therefore, it can be regarded as one of the preferred treatment options that achieve a "balance between efficacy and safety" for such patients, and provides an important basis for optimizing treatment strategies, improving prognosis, and promoting the application of subsequent treatment regimens.

Objective To understand the current situation and influencing factors of work-related musculoskeletal disorders (WMSDs) in medical staff in Beijing City. Methods A total of 2 687 medical staff were selected as the research subjects using the multi-stage sampling method. The current situation of WMSDs and occupational stress, anxiety symptoms, depressive symptoms, and insomnia symptoms were investigated using the Musculoskeletal Disorders Questionnaire, the Core Occupational Stress Scale, the Generalized Anxiety Disorder Scale, the Patient Health Questionnaire Depression Scale, and the Self-Sleep Management Questionnaire. The Max-Min Hill-Climbing algorithm was used to construct a Bayesian network model to analyze the influencing factors and internal relationships of WMSDs and to conduct reasoning and prediction of the model. Results The prevalence of WMSDs among the research subjects was 88.9%. Binary logistic regression analysis was used to identify age, educational level, personal monthly income, anxiety symptoms, depressive symptoms, insomnia symptoms, prolonged forward-head desk work, and prolonged static posture work to construct the Bayesian network model. The model consisted of nine nodes and eleven directed edges. Prolonged static posture work, prolonged forward-head desk work, and anxiety symptoms were directly related to WMSDs. Age and educational level were indirectly related to WMSDs through their influence on prolonged forward-head desk work. Depression symptoms were indirectly associated with WMSDs through their influence on anxiety symptoms. The model's prediction accuracy was 90.5%. Conclusion The prevalence of WMSDs among medical staff in Beijing City is relatively high. Prolonged static posture work, prolonged forward-head desk work, and anxiety symptoms may directly increase the risk of developing WMSDs.

Objective To establish a portable gas chromatography-mass spectrometry (GC-MS) method for determining carbon disulfide in workplace air. Methods Samples were collected using the built-in Tenax GR adsorption tube in the portable GC-MS, followed by thermal desorption. The analytes were separated on a DB-1 chromatographic column and detected by a 3D ion trap mass spectrometer, with 1,3,5-tris(trifluoromethyl)benzene used as the internal standard. Qualitative analysis was based on retention time and characteristic ions, and quantitative analysis was performed using the internal standard method. Results The method showed a linear range of 0.034-0.340 mg/m³ with a correlation coefficient of 0.999 4 using the adsorption tube enrichment mode. The detection limit was 0.007 mg/m³, and the lower limit of quantification was 0.022 mg/m³. The average recovery ranged from 97.5% to 104.0%. The within-run and between-run relative standard deviation was 2.7%-10.4% and 8.8%-14.8%, respectively. Conclusion A rapid, green, highly sensitive, and interference-resistant on-site detection method was established. As a supplement to existing national standard methods, this method is suitable for real-time monitoring of carbon disulfide in workplace air and for occupational exposure risk assessment.

Objective To investigate the influence of intravenous esketamine infusion on anesthetic effect and awakening quality in elderly patients undergoing laparoscopic surgery for prostate cancer.Methods One hundred and twenty patients with laparoscopic radical prostatectomy were selected and divided into the esketamine group(group E)and control group(group C)by the random number table method,60 ca-ses in each group.The group E used esketamine for anesthesia induction and maintenance,while the group C received the same amount of physiological saline at the same time during operation process as control.The es-ketamine pumping infusion or normal saline in the two groups was stopped at 30 min before operation end.In addition,the types and doses of other drugs used during the induction and maintenance phase of anesthesia were identical between the two groups.The use total amounts of anesthetic drugs during perioperative period were recorded.The heart rate(HR)and mean arterial pressure(MAP)were recorded before operation(T1),instantly before tracheal intubation(T2),at 1 min after tracheal intubation(T3),1 h during surgery(T4),end of skin suture(T5),and 5 min after extubation(T6)in the two groups respectively;the anesthetic recovery time after extubation was recorded.The Riker sedation and restlessness score was used to conduct the agita-tion evaluation,the incidence rates of agitation and bucking and the resuscitation room stay time were recor-ded.The pain VAS score was used to conduct the pain evaluation in the patients.The incidence rates of ad-verse events such as respiratory depression,shiverring,nausea,vomiting,drowsiness after extubation were re-corded.Results The perioperative doses of resutanil and propofol in the group E were significantly lower than those in the group C,and the difference was statistically significant(P＜0.05).HR and MAP at T2 in the group E were higher than those in the group C,while HR and MAP at T3 in the group E were lower than those in the group C.The recovery time after extubation in the group E was longer than that in the group C,the agitation incidence rate,acute bucking incidence rate and VAS score were lower,the stay time in the recov-ery room was shorter.The incidence rate of drowsiness in the group E was significantly higher than that in the group C(P＜0.05).The incidence rates of other adverse events had no statistical differnece(P＞0.05).Con-clusion Esketamine is safe and effective in the elderly patients with laparoscopic prostate cancer surgery,which is conducive to stabilize the hemodynamic parameters and reduce the incidence rate of agitation and buc-king.

This article analyzes the current standard methods for detecting occupational hazards of pesticides in the air of workplaces in China, including sampling, pre-treatment, laboratory analysis, as well as the matching status between the minimum quantitative concentration of methods and occupational exposure limits. Among the 46 pesticide occupational hazard factors with occupational exposure limits, only 25 are supported by current valid standard detection methods. The minimum quantitation concentrations given in only 7 standard detection methods are lower than 10% of the occupational exposure limits, which meet the requirements for classified control.This study discusses the problems existing in the current standard methods for detecting pesticide and provides reference for further improving the standard methods.

Objective To measure the three-dimensional(3D)motion of the knee joint in healthy people and patients after total knee arthroplasty(TKA).Methods The coordinate system for the tibia and femur of the knee joint was established,and the marking points were pasted at the bone landmarks.Then the 3D motion of human knee joint was measured by biplane high-speed photogrammetry,and the data were processed according to the coordinate transformation.Results The peak values of adduction and abduction,internal and external rotation,internal and external translation,and proximal and distal movement of the artificial knee joint were larger than those of the healthy knee joint(P<0.05),but there was no statitistic difference in posterior displacement between the artificial and healthy knee joints(P=0.05).Conclusions By measuring the knee joint motion,not only the difference in knee joint motion between the healthy volunteers and TKA patients was revealed,but also the effectiveness of biplane high-speed photography in knee joint kinematic measurement was demonstrated.

This article analyzes the current standard methods for detecting occupational hazards of pesticides in the air of workplaces in China, including sampling, pre-treatment, laboratory analysis, as well as the matching status between the minimum quantitative concentration of methods and occupational exposure limits. Among the 46 pesticide occupational hazard factors with occupational exposure limits, only 25 are supported by current valid standard detection methods. The minimum quantitation concentrations given in only 7 standard detection methods are lower than 10% of the occupational exposure limits, which meet the requirements for classified control.This study discusses the problems existing in the current standard methods for detecting pesticide and provides reference for further improving the standard methods.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.