OBJECTIVE To identify the chemical constituents of Rhamni Songoricae Fructus and to establish their fingerprints and the method for simultaneous determination of four constituents to comprehensively evaluate the quality of Rhamni Songoricae Fructus. METHODS The chemical constituents in Rhamni Songoricae Fructus were qualitatively analyzed by ultra-performance liquid chromatography quadrupole-time-of-flight tandem mass spectrometry. The fingerprints of 15 batches of Rhamni Songoricae Fructus were established by HPLC and chemometric analysis was performed by using SPSS 26.0 and SIMCA 14.1 software； the contents of quercetin， kaempferol， kaempferide and emodin were determined by the same method. RESULTS A total of 35 constituents were identified， including 28 kinds of flavonoids， 5 kinds of anthraquinones and 2 kinds of organic acids. A total of 19 common peaks were identified in the HPLC fingerprints， recognizing quercetin， kaempferol， kaempferide and emodin. The similarities between HPLC fingerprints of 15 batches of samples and control chromatograms were greater than 0.9. The results of cluster analysis showed that 15 batches of samples were divided into 2 classes， of which S1-S5， S7 and S9 were one class and the rest were one class， similar to the results of principal component analysis. The results of the orthogonal partial least squares- discriminant analysis showed that the variable importance projections of peaks No. 2， 6， 1， 11 （quercetin）， 3， 14， 8， 10， 19 （emodin）， 5 were all greater than 1. The contents of quercetin， kaempferol， kaempferide and emodin ranged from 0.710 to 10.478 mg/g， 0.236 to 0.660 mg/g， 0.334 to 3.039 mg/g， and 0.261 to 0.504 mg/g. CONCLUSIONS The constructed chemical constituent identification， fingerprint and content determination methods are simple， feasible and reproducible， which combined with chemometric analysis can be used for comprehensive evaluation of the quality of Rhamni Songoricae Fructus.

Objective:To investigate the application of diagnostic criteria for common occupational radiation-induced diseases to radiation workers, in order to provide a basis for the revision, publicity and standardization of the standards.Methods:Radiation workers were selected from 1 city, 7 provinces and 1 corporation by using cluster random sampling method from January 2021 to May 2021. Awareness of the criteria and the effects of ionizing radiation, and the suggestions for diagnostic works were investigated and analyzed.Results:A total of 2 839 radiation workers were investigated. There were differences in the awareness of different diagnostic criteria, the inclusions in complex diagnostic criteria, the materials required for applying for diagnosis, and the ways of knowing the diagnostic criteria( χ2=416.06, 2 924.14, 83.45, 895.67, 815.94, P<0.001). The correct understanding rates of deterministic effects and stochastic effects were 80.63% and 43.64%, respectively. The acceptance rates in applicable materials were 96.79% for occupational exposure history, 94.72% for occupational health monitoring records and 93.55% for individual monitoring of occupational exposure, respectively. Pre-employment training rate was 80.20%, on-job training rate was 81.19%, and untrained rate was 3.77%. The suggestions to the diagnosis of occupational radiation-induced diseases are to strengthen training, pay attention to individual monitoring, occupational health examination, and strengthen health supervision and law enforcement. Conclusions:Radiation workers have a low awareness rate of certain diagnostic standards and a high awareness rate of diagnostic procedures. Publicity and training of health effects of ionizing radiation and diagnostic criteria of occupational radiation-induced diseases should be strengthened. Diagnostic procedure should be optimized.

OBJECTIVE: To explore the genetic basis for a child with multiple malformations. METHODS: A child who had presented at Shanxi Provincial Children's Hospital in February 2021 was selected as the study subject. Clinical data of the patient was collected, and whole exome sequencing (WES) was carried out to screen pathogenic variants associated with the phenotype. Candidate variant was validated by Sanger sequencing of her family members. RESULTS: The child had normal skin, but right ear defect, hemivertebral deformity, ventricular septal defect, arterial duct and patent foramen ovale, and separation of collecting system of the left kidney. Cranial MRI showed irregular enlargement of bilateral ventricles and widening of the distance between the cerebral cortex and temporal meninges. Genetic testing revealed that she has harbored a heterozygous variant of NM_178014.4: c.217A>G (p.Met73Val) in the TUBB gene, which was unreported previously and predicted to be likely pathogenic based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). The child was diagnosed with Complex cortical dysplasia with other brain malformations 6 (CDCBM6). CONCLUSION CDCBM is a rare and serious disease with great genetic heterogeneity, and CDCBM6 caused by mutations of the TUBB gene is even rarer. Above finding has enriched the variant and phenotypic spectrum of the TUBB gene, and provided important reference for summarizing the genotype-phenotype correlation of the CDCBM6.
Humans ; Child ; Female ; Abnormalities, Multiple ; Blood Group Antigens ; Family ; Malformations of Cortical Development/genetics* ; Brain ; Mutation

Transcranial direct current stimulation (tDCS) has become a new method of post-stroke rehabilitation treatment and is gradually accepted by people. However, the neurophysiological mechanism of tDCS in the treatment of stroke still needs further study. In this study, we recruited 30 stroke patients with damage to the left side of the brain and randomly divided them into a real tDCS group (15 cases) and a sham tDCS group (15 cases). The resting EEG signals of the two groups of subjects before and after stimulation were collected, then the difference of power spectral density was analyzed and compared in the band of delta, theta, alpha and beta, and the delta/alpha power ratio (DAR) was calculated. The results showed that after real tDCS, delta band energy decreased significantly in the left temporal lobes, and the difference was statistically significant ( P < 0.05); alpha band energy enhanced significantly in the occipital lobes, and the difference was statistically significant ( P < 0.05); the difference of theta and beta band energy was not statistically significant in the whole brain region ( P > 0.05). Furthermore, the difference of delta, theta, alpha and beta band energy was not statistically significant after sham tDCS ( P > 0.05). On the other hand, the DAR value of stroke patients decreased significantly after real tDCS, and the difference was statistically significant ( P < 0.05), and there was no significant difference in sham tDCS ( P > 0.05). This study reveals to a certain extent the neurophysiological mechanism of tDCS in the treatment of stroke.
Brain/physiopathology* ; Brain Waves/physiology* ; Electroencephalography/methods* ; Humans ; Stroke/therapy* ; Stroke Rehabilitation/methods* ; Transcranial Direct Current Stimulation/methods*

As an emerging non-invasive brain stimulation technique, transcranial direct current stimulation (tDCS) has received increasing attention in the field of stroke disease rehabilitation. However, its efficacy needs to be further studied. The tDCS has three stimulation modes: bipolar-stimulation mode, anode-stimulation mode and cathode-stimulation mode. Nineteen stroke patients were included in this research (10 with left-hemisphere lesion and 9 with right). Resting electroencephalogram (EEG) signals were collected from subjects before and after bipolar-stimulation, anodal-stimulation, cathodal-stimulation, and pseudo-stimulation, with pseudo-stimulation serving as the control group. The changes of multi-scale intrinsic fuzzy entropy (MIFE) of EEG signals before and after stimulation were compared. The results revealed that MIFE was significantly greater in the frontal and central regions after bipolar-stimulation ( P< 0.05), in the left central region after anodal-stimulation ( P< 0.05), and in the frontal and right central regions after cathodal-stimulation ( P< 0.05) in patients with left-hemisphere lesions. MIFE was significantly greater in the frontal, central and parieto-occipital joint regions after bipolar-stimulation ( P< 0.05), in the left frontal and right central regions after anodal- stimulation ( P< 0.05), and in the central and right occipital regions after cathodal-stimulation ( P< 0.05) in patients with right-hemisphere lesions. However, the difference before and after pseudo-stimulation was not statistically significant ( P> 0.05). The results of this paper showed that the bipolar stimulation pattern affected the largest range of brain areas, and it might provide a reference for the clinical study of rehabilitation after stroke.
Humans ; Transcranial Direct Current Stimulation/methods* ; Electroencephalography ; Stroke Rehabilitation ; Stroke/therapy* ; Electrodes

Based on the International Federation of Nursing Anesthetists (IFNA) education and training base, our hospital has built a training base for anesthesia specialized nurses in Nanjing from the following aspects: the application for training base of anesthesia specialized nurses, the qualification and examination of students' and teachers' qualification, the settings of training curriculum, the examination contents and methods, and the evaluation of post-training effect. This article summarizes the construction experience of this base, therefore, providing support and standard for the training of anesthesia specialized nurses.

Affective brain-computer interfaces (aBCIs) has important application value in the field of human-computer interaction. Electroencephalogram (EEG) has been widely concerned in the field of emotion recognition due to its advantages in time resolution, reliability and accuracy. However, the non-stationary characteristics and individual differences of EEG limit the generalization of emotion recognition model in different time and different subjects. In this paper, in order to realize the recognition of emotional states across different subjects and sessions, we proposed a new domain adaptation method, the maximum classifier difference for domain adversarial neural networks (MCD_DA). By establishing a neural network emotion recognition model, the shallow feature extractor was used to resist the domain classifier and the emotion classifier, respectively, so that the feature extractor could produce domain invariant expression, and train the decision boundary of classifier learning task specificity while realizing approximate joint distribution adaptation. The experimental results showed that the average classification accuracy of this method was 88.33% compared with 58.23% of the traditional general classifier. It improves the generalization ability of emotion brain-computer interface in practical application, and provides a new method for aBCIs to be used in practice.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Emotions ; Humans ; Reproducibility of Results

Transcranial direct current stimulation (tDCS) is an emerging non-invasive brain stimulation technique. However, the rehabilitation effect of tDCS on stroke disease is unclear. In this paper, based on electroencephalogram (EEG) and complex network analysis methods, the effect of tDCS on brain function network of stroke patients during rehabilitation was investigated. The resting state EEG signals of 31 stroke rehabilitation patients were collected and divided into stimulation group (16 cases) and control group (15 cases). The Pearson correlation coefficients were calculated between the channels, brain functional network of two groups were constructed before and after stimulation, and five characteristic parameters were analyzed and compared such as node degree, clustering coefficient, characteristic path length, global efficiency, and small world attribute. The results showed that node degree, clustering coefficient, global efficiency, and small world attributes of brain functional network in the tDCS group were significantly increased, characteristic path length was significantly reduced, and the difference was statistically significant (
Brain ; Electroencephalography ; Humans ; Stroke ; Stroke Rehabilitation ; Transcranial Direct Current Stimulation

Transcranial direct current stimulation (tDCS) is a brain stimulation intervention technique, which has the problem of different criteria for the selection of stimulation parameters. In this study, a four-layer real head model was constructed. Based on this model, the changes of the electric field distribution in the brain with the current intensity, electrode shape, electrode area and electrode spacing were analyzed by using finite element simulation technology, and then the optimal scheme of electrical stimulation parameters was discussed. The results showed that the effective stimulation region decreased and the focusing ability increased with the increase of current intensity. The normal current density of the quadrilateral electrode was obviously larger than that of the circular electrode, which indicated that the quadrilateral electrode was more conducive to current stimulation of neurons. Moreover, the effective stimulation region of the quadrilateral electrode was more concentrated and the focusing ability was stronger. The focusing ability decreased with the increase of electrode area. Specifically, the focusing tended to increase first and then decrease with the increase of electrode spacing and the optimal electrode spacing was 64.0-67.2 mm. These results could provide some basis for the selection of electrical stimulation parameters.
Brain ; Electric Stimulation ; Electrodes ; Head ; Transcranial Direct Current Stimulation

BACKGROUND: Cardiovascular (CV) disease is the leading cause of morbidity and mortality in adults with type 2 diabetes (T2D). The aim of this study was to determine the CV risk in Chinese patients with T2D based on the 2019 European Society of Cardiology (ESC) and the European Association for the Study of Diabetes (EASD) guidelines on diabetes, pre-diabetes, and CV diseases. METHODS: A total of 25,411 patients with T2D, who participated in the study of China Cardiometabolic Registries 3B study, were included in our analysis. We assessed the proportions of patients in each CV risk category according to 2019 ESC/EASD guidelines. RESULTS: Based on the 2019 ESC/EASD guidelines, 16,663 (65.6%), 1895 (7.5%), and 152 (0.6%) of patients were included in "very high risk," "high risk," and "moderate risk" categories, respectively. The proportions of patients in each category varied based on age, sex, body mass index, and duration. While 58.7% (9786/16,663) of elderly patients were classified to "very high risk" group, 89.6% (3732/4165) of patients with obesity were divided into "very high risk" group. Almost all patients with a duration of diabetes >10 years had "very high risk" or "high risk." However, 6701 (26.4%) of Chinese T2D patients, who had shorter duration, and one or two risk factors, could not be included in any category (the "unclear risk" category). CONCLUSIONS In China, most patients with T2D have "very high" or "high" CV risk based on 2019 ESC/EASD guidelines. However, the risk of patients in "unclear risk" group needs to be further classified.
Adult ; Aged ; Cardiovascular Diseases/epidemiology* ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 ; Heart Disease Risk Factors ; Humans ; Risk Factors