To address the challenges of extracting nonlinear features from motor imagery electroencephalogram(EEG)signals and effectively capturing functional connectivity between EEG channels,a classification and recognition method for motor imagery EEG signals is proposed based on mutual information and adaptive graph convolutional network.The proposed method extracts frequency domain information by sub-frequency banding on the original motor imagery EEG signals,uncovers the nonlinear relationships within EEG signals by an adjacency matrix constructed with mutual information neural estimation method,and finally achieve null-frequency feature extraction by capturing the dynamic correlation strength between channels with an adaptive graph convolutional network incorporating convolutional block attention module.On the BCI Competition Ⅳ 2a and BCI Competition Ⅲ 3a datasets,the proposed method has average accuracies of 83.14％and 88.19％,respectively,demonstrating that it can effectively reveal functional connectivity between EEG channels,providing a new approach for decoding motor imagery EEG signals.

To address the challenges of extracting nonlinear features from motor imagery electroencephalogram(EEG)signals and effectively capturing functional connectivity between EEG channels,a classification and recognition method for motor imagery EEG signals is proposed based on mutual information and adaptive graph convolutional network.The proposed method extracts frequency domain information by sub-frequency banding on the original motor imagery EEG signals,uncovers the nonlinear relationships within EEG signals by an adjacency matrix constructed with mutual information neural estimation method,and finally achieve null-frequency feature extraction by capturing the dynamic correlation strength between channels with an adaptive graph convolutional network incorporating convolutional block attention module.On the BCI Competition Ⅳ 2a and BCI Competition Ⅲ 3a datasets,the proposed method has average accuracies of 83.14％and 88.19％,respectively,demonstrating that it can effectively reveal functional connectivity between EEG channels,providing a new approach for decoding motor imagery EEG signals.

With the development of the economy and technological progress,more and more animal-derived mesh products are being utilized in the medical field for tissue and organ repair and replacement.Owing to the complexity of their structure and production process,these animal-derived meshes still face several challenges in practical applications,such as insufficient mechanical strength,rapid degradation rates,and the detection of harmful leachable substances.Among these challenges,the production process is a key factor affecting product quality.This paper reviews the key aspects of the production process and quality control for animal-derived meshes in China,offering new insights for the quality control and regulatory oversight of such products.

Objective:To explore the value of conventional magnetic resonance imaging (MRI), diffusion weighted imaging (DWI), diffusion kurtosis imaging (DKI) sequence and pathological examination in predicting the efficacy of neoadjuvant chemotherapy (NAC) in advanced breast cancer.Methods:The clinical data of 65 cases of advanced breast cancer with NAC confirmed by pathology in the Affiliated Hospital of Jining Medical University from March 2022 to May 2023 were retrospectively analyzed, including 20 cases in the pathological complete remission (pCR) group and 45 cases in the non pCR group; All patients underwent routine MRI, DWI, DKI examinations and pathological analysis. The clinical pathological data, routine MRI features, apparent diffusion coefficient (ADC) values, mean kurtosis coefficient (MK), and mean diffusion coefficient (MD) between the two groups were analyzed; We compared the differences in various parameters between two groups and plotted receiver operating characteristic (ROC) curves to compare their diagnostic efficacy of NAC in breast cancer.Results:There were significant differences in molecular typing, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (Her-2) and Ki-67 between pCR group and non pCR group (all P<0.05). In pCR group, Her-2 overexpression type and triple negative breast cancer (TNBC) type breast cancer were more common. ER and PR were mostly negative, Her-2 was mostly positive, and Ki 67 was mainly positive. The difference in tumor T2WI signal between the pCR group and the non pCR group was statistically significant ( P<0.05), with the pCR group showing mostly moderate/low T2WI signal. The ADC and MD values of the pCR group were lower than those of the non pCR group, while the MK value of the pCR group was higher than that of the non pCR group, and the differences were statistically significant (all P<0.001). The area under the ROC curve (AUC) for predicting the efficacy of NAC using a clinical pathological model was 0.829, which was higher than the AUC of molecular subtypes, ER, PR, Her-2, and Ki-67 ( Z=3.008, 2.697, 2.815, 2.131, 2.376, all P<0.05); The AUC of the DKI+ DWI predicting the efficacy of NAC was 0.934, which was higher than that of the DWI single sequence model, and the difference in type was statistically significant ( Z=2.396, P=0.017). The diagnostic efficacy of the DKI+ DWI model was higher than that of the single parameter ADC, MD, and MK, and the differences were statistically significant ( Z=2.396, 2.219, 2.161, all P<0.05); The AUC of the combined imaging and pathology model was 0.983, and its diagnostic efficacy was higher than that of the conventional MRI feature model, pathology model, DWI model, and DKI model, with statistically significant differences ( Z=5.877, 2.961, 3.240, 2.264, all P<0.05). Conclusions:The results of pathology, conventional MRI, DWI and DKI parameters of pCR and non pCR breast cancer patients are significantly different, and the combined model is better than the single model in predicting the efficacy of NAC.

Objective:To investigate the incidence and risk factors of hypertensive disorders in pregnancy (HDP) in high altitude areas and their influence on maternal and infant outcomes.Methods:This was a retrospective case-control study. A total of 220 newborns were selected as the high altitude group, who were born to 216 mothers with HDP and admitted to the Neonatal Intensive Care Unit of the Lhasa People's Hospital from June 1, 2018, to June 1, 2020. The low altitude group consisted of 235 newborns born to 231 mothers with HDP and admitted to the Department of Neonatology of the Children's Hospital Affiliated to Beijing Capital Institute of Pediatrics from January 1, 2018, to December 31, 2021. Differences in the types of HDP between the two groups and the risk factors for the high incidence of preeclampsia-eclampsia and early-onset preeclampsia in high altitude area were analyzed. The influences of HDP in high and low altitude areas on maternal and infant outcomes were compared. Statistical analysis was performed using t-test, Mann-Whitney U test, Pearson Chi-square test, or continuous correction Chi-square test, and univariate and multivariate logistic regression analysis. Results:Maternal age and the proportions of primiparae and women of advanced age or having irregular prenatal examination were greater in the high altitude group than those in the low altitude group (all P<0.05). Besides, the incidence of early-onset preeclampsia, eclampsia, preeclampsia-eclampsia, and chronic hypertension complicated by preeclampsia were also higher in the high altitude group (all P<0.05). Multivariate logistic regression analysis showed that high altitude was a risk factor for the development of preeclampsia-eclampsia ( OR=4.437, 95% CI:2.582-7.626). Adverse pregnancy history ( OR=2.576, 95% CI:1.217-5.452) and irregular prenatal examination ( OR=2.862, 95% CI:1.412-5.800) were independent risk factors for early-onset preeclampsia in pregnant women in high altitude areas. Twin-pregnancy was a protective factor for early-onset preeclampsia in pregnant women in high altitude areas ( OR=0.183, 95% CI: 0.054-0.623). The incidence of maternal heart failure [7.9% (17/216) vs 0.4% (1/231), χ2=15.98], placental abruption [7.9% (17/216) vs 3.5% (8/231), χ2=4.11], hemolysis, elevated liver function and low platelet count syndrome [14.4% (31/216) vs 1.7% (4/231), χ2=24.64], premature delivery [86.1% (118/216) vs 73.6% (170/231), χ2=10.79], fetal growth restriction [52.3% (115/220) vs 18.7% (44/235), χ2=56.26], fetal distress [18.2% (40/220) vs 8.1% (19/235), χ2=10.26], neonatal asphyxia [29.5% (65/220) vs 11.1% (26/235), χ2=24.26], severe asphyxia [8.6% (19/220) vs 2.6% (6/235), χ2=8.10] and the proportion of neonates requiring mechanical ventilation within 24 h after birth [69.5% (153/220) vs 42.6% (100/235), χ2=33.54] as well as neonatal death within 7 d after birth [5.5% (12/220) vs 1.3% (3/235), χ2=6.22] in the high altitude group were significantly higher than those in the low altitude group (all P<0.05). Conclusion:High altitude is a risk factor for preeclampsia-eclampsia, and the adverse effects of HDP on mothers and infants are more severe in high altitude areas.

Objective:To explore the prognostic indicators and influencing factors of neonatal asphyxia in Tibet.Methods:From March 2019 to March 2020, the clinical data of 126 asphyxiated newborns admitted to the neonatology department of Lhasa People's Hospital were retrospectively studied. According to the prognosis, they were divided into good prognosis group and poor prognosis group, and the clinical characteristics of the two groups were compared. The predictive value of Apgar score after birth, arterial blood gas analysis within 6 hours [pH, alkali residue (BE)] and their combined detection on the prognosis of asphyxiated newborns was analyzed. Logistic regression analysis was used to analyze the related factors affecting the prognosis of asphyxiated newborns.Results:31 cases (24.6%) in the poor prognosis group and 95 cases (75.4%) in the good prognosis group. The Apgar score at 1, 5 and 10 minutes after birth and pH and BE within 6 hours in the poor prognosis group were significantly lower than those in the good prognosis group (all P<0.05). The incidence of meconium stained amniotic fluid, fetal intrauterine distress, brain damage, lung damage, myocardial damage, kidney damage, abnormal coagulation function and multiple organ damage after asphyxia in the good prognosis group were significantly higher than those in the good prognosis group (all P<0.05). The Apgar score at the 1, 5 and 10 minutes after birth combined with arterial blood gas analysis (pH and BE) within 6 hours after birth had high predictive value for the prognosis of asphyxiated newborns, with the area under receiver operating characteristic (ROC) curve of 0.79, sensitivity of 68.4% and specificity of 90.3%. Multivariate regression analysis showed that meconium stained amniotic fluid ( OR=4.501, 95% CI: 1.262-16.056), lung damage ( OR=5.004, 95% CI: 1.007-24.866) and brain damage ( OR=10.786, 95% CI: 2.726-42.673) were independent risk factors affecting the prognosis of neonatal asphyxia ( P<0.05). Conclusions:In Tibet, there are many factors affecting the poor prognosis of neonatal asphyxia. High attention and intervention should be given to mothers in perinatal period and asphyxiated newborns in order to reduce the incidence of poor prognosis of neonatal asphyxia.

The effectiveness of traditional Chinese medicine (TCM) against various diseases urges more low cost,speed and sensitive analytical methods for investigating the phamacology of TCM and providing a theoretical basis for clinical use.The potential of second-order calibration method was validated for the quantification of two effective ingredients of Schisandra chinensis in human plasma using spectrofluorimetry.The results obtained in the present study demonstrate the advantages of this strategy for multi-target determination in complex matrices.Although the spectra of the analytes are similar and a large number of interferences also exist,second-order calibration method could predict the accurate concentrations together with reasonable resolution of spectral profiles for analytes of interest owing to its ‘second-order advantage'.Moreover,the method presented in this work allows one to simply experimental procedure as well as reduces the use of harmful chemical solvents.