Objective To analyze the spatial and temporal distribution characteristics of hand-foot-mouth disease (HFMD) in Zibo City, to explore the key incidence areas, and to find a suitable prediction model, so as to provide reference for the prevention and control of HFMD. Methods The spatiotemporal clustering characteristics of HFMD in Zibo City from 2018 to 2023 were analyzed by using SaTScan 10.0.2 software and ArcGIS 10.7 software. A combination model of ARIMA and SVM was established, and the prediction results were verified and compared. Results Spatial clustering analysis showed that there was spatial clustering of the incidence of HFMD in various townships of Zibo City from 2020 to 2022. The high-high clustering areas and Getis-Ord hot spot areas were mainly concentrated in some main urban areas of Zhangdian District, Zichuan District, and Huantai County. A total of 2-5 aggregation areas were detected by spatiotemporal scanning analysis. The first-type aggregation areas were mainly concentrated in the towns of Zhangdian District, Huantai County, Linzi District, Zhoucun District and Gaoxin District. The aggregation months were July, August, September and November. The model prediction results showed that the ARIMA-SVM combined model was more accurate than the traditional ARIMA model. Conclusion There is a spatiotemporal clustering of hand-foot-mouth disease in Zibo City. The ARIMA-SVM combined model can be used to predict the incidence of hand-foot-mouth disease in Zibo City, and to strengthen health education and disease monitoring in high-risk areas and populations during the epidemic months.

Objective To investigate the diagnosis value of contrast-enhanced ultrasound (CEUS) in the differentiation of hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) of the liver with ≤3 cm of maximum diameter. Methods The image characteristics in 48 lesions of HCC with maximum diameter≤3 cm and 48 lesions of FNH with maximum diameter≤3 cm confirmed by pathology were retrospectively analyzed. The phase changes, enhancement patterns and enhancement characteristics of the lesions in the two groups were compared. Results All lesions in the two groups showed high-echo in the arterial phase. The contrast arrival time in HCC group and FNH group was 17(15, 19) s and 15(12, 18.75) s (P＝0.017); the peak time in the two groups was 21(17, 25) s and 22(19, 26) s (P＞0.05). The main enhancement patterns of HCC group and FNH group in arterial phase were homogeneous enhancement and centrifugal enhancement, respectively. All HCC lesions showed homogeneous enhancement, which was significantly higher than FNH (2.08%, P＜0.05); 97.91% of FHN lesions showed centrifugal enhancement, which was higher that of HCC lesions (0, P＜0.05). During the CEUS process, 87.5% of HCC lesions showed “rapid fill-in and rapid wash-out”, which was significantly higher than that of FNH lesions（8.33%，P＜0.05）; 91.67% of FNH lesions showed “rapid fill-in” and “synchronous/slow wash-out” which was significantly higher than that of HCC lesions （12.50%，P＜0.05）. Conclusion CEUS is helpful in the differential diagnosis of FNH and HCC with maximum diameter≤3 cm．

Objective To explore EEG characteristics and the therapeutic effect in children with electrical status epilepticus during slow sleep(ESES).Methods The eligible ESES cases in our center from 2014 to 2020 were included.The age at diagnosis of ESES,the duration of ESES,spike wave index(SWI)during wakefulness and the distribution of spike wave during the period of ESES,age at seizure onset,the clinical syndromes and the outcomes after treatment were analyzed.The ESES cases were divided into 4 groups according to the distribution of spike wave:focal ESES,unilateral ESES,bilateral asymmetric ESES,multiple foci ESES.The SWI during the awake stage were divided into 3 groups based on the different rates:≤20%,21%～49%,≥50%.The therapeutic outcomes were classified into three groups:satisfactory response,seizure control and ineffective.Results 50 cases were included,with 32 males and 18 females.The average onset age of ESES was 6 years and 7 months,and the average duration of ESES was 28 months.A significant correlation between the distribution of ESES and the thera-peutic effects was found,bilateral asymmetric ESES had a good therapeutic effects,while multiple foci ESES showed a poor therapeutic effects.The duration of ESES was significantly correlated with therapeutic effects,and the efficacy was worse when the duration was longer than 1 year.A significant relationship between the SWI during wakefulness of ESES and the therapeutic effects was detected,the patient with SWI≤20%during wakefulness had a good therapeutic effect.There was a negative correlation between the onset age of ESES and the duration of ESES and SWI index during wakefulness.There was a positive correlation between the duration of ESES and SWI index during wakefulness.Conclusion Our results suggest that onset age,distribution,duration and SWI during wake-fulness of ESES were correlated with therapeutic outcomes,The patient with SWI≤20%during wakefulness had a good therapeutic effect and have unfavorable outcomes with ESES last more than 1 year.The earlier onset of ESES,the longer duration of ESES and higher SWI during wakefulness will be showed..

Objective:To distinguish Hedyotis diffusa Willd. and its common countrerfeit, Hedyotis corymbosa. and Hedyotis tenelliflora. by analyzing and comparing their macroscopical identification, microscopic character and HPLC fingerprints. Methods:The features of macroscopical identification, microscopic character including cross-sections of stem, leaf, fruit and seed, and herbal powders were observed in the three samples by traditional methods. The difference of chromatographic peaks among the three samples were also analyzed by HPLC methods.Results:The stems of Hedyotis diffusa Willd. were cylindrical, and the capsules were solitary or double born in the leaf axils, oblate, 2-3 mm in diameter, with a long petiole; the Hedyotis corymbosa. and Hedyotis tenelliflora. were tetragonal, and the Hedyotis corymbosa. was 2-5 capsules born in leaf axils in corymbose inflorescences, globular, 1-1.5 mm in diameter, with a slender petiole; the Hedyotis tenelliflora. were 1-3 capsules clustered in the leaf axils, ovoid with longitudinal ribs around the margin, about 1.5 mm in diameter, without the long petiole, about 1.5 mm in diameter, sessile, the edge of the leaf drying revolute long needle-like. Under the identification, the cross section of the Hedyotis diffusa Willd. stem was almost round, the middle vein of the leaves was protrusion below, the inner pericarp fiber layer consisted of two layers of fiber cells, the surface of the seed coat cells was polygon, and the wall was densely covered with small reddish brown or yellow-brown warty spots. The cross section of the Hedyotis corymbosa. stem was quadrilateral, the surface of the seed coat cell was polygon, the wall was wavy and curved, and there was no warty point on the wall. The middle veins of the Hedyotis tenelliflora. were slightly sunken in the upper part, but not protruding in the lower part; the endocarp fiber layer consisted of 8 to 13 layers of fiber cells. Moreover, the HPLC fingerprint analysis demonstrated substantial dissimilarities in the characteristic peaks of these herbs. Conclusion:The traditional and modern analysis technology show that there are some differences in the characteristics, microscopical cross section, the powder characteristics, which can effectively distinguish the Hedyotis diffusa Willd. and its two local varieties.

Objective:To investigate the value of diffusion kurtosis imaging (DKI) combined with quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting axillary lymph node metastasis in breast cancer.Methods:A total of 150 cases of breast cancer confirmed by pathology in the Affiliated Hospital of Jining Medical University were retrospectively analyzed. 68 cases had axillary lymph node (ALN) metastasis and 82 cases had no ALN metastasis. All breast lesions were examined by DKI and DCE-MRI before operation. We analyzed clinical case data, routine MRI features, DKI, and DCE-MRI parameters between two groups, including diffusion kurtosis (MK), mean diffusion rate (MD), volume transfer constant (K trans), extravascular volume fraction (Ve), and rate constant (Kep); The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficacy of quantitative parameters for ALN metastasis of breast cancer. Results:The proportion of lesions with blurred edges in the metastatic group was higher than that in the non ALN metastatic group ( P=0.032); The proportion of uneven and circular enhancement within the ALN metastasis group was relatively high ( P=0.018). The MD value of the ALN transfer group was lower than that of the group without ALN transfer ( P=0.021); The MK value, K trans value, and Kep value were higher than those in the group without ALN metastasis (all P<0.01). The K trans value of DCE-MRI model was the most effective in diagnosing ALN metastasis of breast cancer, and the area under the ROC curve (AUC) was 0.831; The AUC of DCE-MRI model was 0.833, which was higher than that of DKI model (AUC=0.733), and the difference was statistically significant ( Z=2.208; P=0.027). The AUC of DCE-MRI and DKI models were higher than that of conventional MRI models ( Z=3.184, P=0.002; Z=1.917, P=0.046). The sensitivity and accuracy of combined DKI and DCE-MRI models in the diagnosis of ALN metastasis in breast cancer were higher than those of single model. Conclusions:DKI and DCE-MRI models can be used to predict axillary lymph node metastasis in breast cancer. Among them, the K trans value of DCE-MRI model is the most effective in diagnosing axillary lymph node metastasis in breast cancer.

Objective:To develop a Cognitive Assessment Scale for Spinal Cord Injury (SCI) Rehabilitation and conduct reliability and validity tests in community-dwelling patients with SCI.Methods:Based on expectation value theory, social cognition theory, and goal setting theory, a Cognitive Assessment Scale for SCI Rehabilitation was developed through literature review, group discussions, patient trials, and expert verification. From February to December 2021, convenience sampling was used to select 231 community-dwelling patients with SCI as research subjects, including 67 community-dwelling patients with SCI who participated in rehabilitation training at Shanghai Sunshine Rehabilitation Center and 164 patients with SCI in the "Hope Home" WeChat group of Shanghai Sunshine Rehabilitation Center. Research subjects were surveyed using the Cognitive Assessment Scale for SCI Rehabilitation (patient version), 9-item depression scale of Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, EuroQol 5 Dimension-Visual Analogue Scale (EQ-VAS), General Self-Efficacy Scale, and general information questionnaire. SPSS 16.0 software and Amos 21.0 software were used for correlation analysis and reliability and validity testing.Results:The Cognitive Assessment Scale for SCI Rehabilitation (patient version) included two primary dimensions, eight secondary dimensions, and 24 items. The trial showed good results among patients with SCI and their caregivers, and experts generally agreed. Exploratory factor analysis found that the scale were divided into recognition dimension and understanding dimension. Cronbach's α coefficient of the scale was 0.98, the correlation coefficient between each item and its corresponding dimension was 0.75 to 0.88, and our results indicated good test-retest reliability. Correlation analysis showed that patient anxiety and depression scores were negatively correlated with rehabilitation cognitive scores ( P<0.05), and self-efficacy, quality of life were positively correlated with rehabilitation cognitive scores ( P<0.05) . Conclusions:The Cognitive Assessment Scale for SCI Rehabilitation is scientific and feasible, with good reliability and validity, and can be used to evaluate the rehabilitation cognition of community-dwelling patients with SCI.

Objective:To explore the characteristics of gray matter volume (GMV) and structural covariant network (SCN) in patients with cerebral small vessel disease (CSVD) related cognitive impairment.Methods:This was a cross-sectional study. Ninety-eight patients with CSVD who attended Wuxi People′s Hospital of Nanjing Medical University between October 2021 and December 2022 were prospectively included. The patients were evaluated using the cognitive status assessment scale and were categorized into 57 cases in the CSVD with cognitive impairment group and 41 cases in the CSVD without cognitive impairment group according to the presence or absence of cognitive impairment. 3D-T 1WI structural image data were collected, and GMV differences between the two groups were compared by SPM 12 toolbox and CAT12 toolkit. At the same time, Pearson correlation analysis was also performed to analyze the GMV of differences between the 2 groups and cognitive status assessment scale scores. The BCT software package based on MATLAB platform was used to construct the GMV-related structural covariant network (SCN), and the graph theory method was utilized for SCN analysis to calculate the area under the curve (AUC) of the global and local parameters within the set sparsity range, and the permutation test was used to compare the differences in the AUC of the 2 groups. Results:In the CSVD with cognitive impairment group, GMV in bilateral hippocampus, parahippocampal gyrus, fusiform gyrus, and left amygdala was significantly lower than that in the CSVD without cognitive impairment group (family wise error corrected P<0.05), and the GMV in these regions had correlation with cognitive status assessment scale ( P<0.05). At the global network level of the SCN, the area under the curve (AUC) of the characteristic path length was significantly higher in the CSVD with cognitive impairment group than in the CSVD without cognitive impairment group ( P=0.023), while the AUC of global efficiency was significantly lower in CSVD with cognitive impairment group than in the CSVD without cognitive impairment group ( P=0.005). At the local level, the nodal degree and nodal efficiency of the left putamen were significantly decreased in the CSVD with cognitive impairment group compared to the CSVD without cognitive impairment group (false discovery rate corrected P<0.05). Conclusions:GMV reduce in patients of CSVD with cognitive impairment in the bilateral hippocampus, parahippocampal gyrus, fusiform gyrus, and left amygdala. In the structural covariance network, characteristic path length increase while global efficiency reduce, and node degree and nodal efficiency of the left putamen reduce.

Acute respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had caused a global pandemic since 2019, and posed a serious threat to global health security. Traditional Chinese medicine (TCM) has played an indispensable role in the battle against the epidemic. Many components originated from TCMs were found to inhibit the production of SARS-CoV-2 3C-like protease (3CLpro) and papain-like protease (PLpro), which are two promising therapeutic targets to inhibit SARS-CoV-2. This study describes a systematic investigation of the roots and rhizomes of Sophora tonkinensis, which results in the characterization of 12 new flavonoids, including seven prenylated flavanones (1-7), one prenylated flavonol (8), two prenylated chalcones (9-10), one isoflavanone (11), and one isoflavan dimer (12), together with 43 known compounds (13-55). Their structures including the absolute configurations were elucidated by comprehensive analysis of MS, 1D and 2D NMR data, and time-dependent density functional theory electronic circular dichroism (TDDFT ECD) calculations. Compounds 12 and 51 exhibited inhibitory effects against SARS-CoV-2 3CLpro with IC₅₀ values of 34.89 and 19.88 μmol·L^-1, repectively while compounds 9, 43 and 47 exhibited inhibitory effects against PLpro with IC₅₀ values of 32.67, 79.38, and 16.74 μmol·L^-1, respectively.
Flavonoids/chemistry* ; SARS-CoV-2 ; Rhizome ; COVID-19 ; Peptide Hydrolases ; Antiviral Agents/chemistry*

Objective:To investigate the construction of containing CT imaging features Nomograms model of postoperative intraluminal thromus (ILT) formation in patients with aortic dissective aneurysm (ADA).Methods:One hundred and twenty patients with Stanford type B ADA treated with overlapping stent endoluminal repair and multilayer spiral CT (MSCT) examination in Affiliated Hospital of Jining Medical College from May 2020 to February 2022 were selected. The patients were divided into the modeling population (84 patients) and the validation population (36 patients) according to a 7∶3 ratio. The factors influencing postoperative ILT formation in ADA patients were analyzed by univariate and Logistic multifactor regression models, and the prediction model of postoperative ILT formation was constructed based on the influencing factors.Results:In the modeled population, the rate of ILT formation within 1 month after luminal repair with overlapping stents was 27.38%(23/84), including 5 cases in the aortic arch and 18 cases in the abdominal aorta. In the modeled population, the results of univariate analysis showed that the sex, age, body mass index(BMI), smoking, drinking, hypertension, hyperlipidemia, rupture diameter, rupture distance from left subclavicular artery, involvement of important branches, uneven thickening of aneurysm wall, low density on plain scan and operation timing between the ILT formation group and non-ILT formation group had no statistically significant ( P>0.05). The diabetes mellitus, irregular inner wall, calcified plaque, postoperative anticoagulant therapy, B-type brain natriuretic peptide (BNP), fibrinogen (Fib), D-dimer (D-D) and C-reactive protein (CRP) between the two groups had statistical differences: 43.48%(10/23) vs. 11.48%(7/61), 86.96%(20/23) vs. 57.38%(35/61), 91.30%(21/23) vs. 62.30%(38/61), 21.74%(5/23) vs. 57.38%(35/61), (523.60 ± 128.74) ng/L vs.(271.83 ± 109.65) ng/L, (3.82 ± 0.96) g/L vs. (2.85 ± 0.83) g/L, (601.37 ± 75.62) μg/L vs. (389.20 ± 68.79)μg/L, (0.63 ± 0.19) mg/L vs. (0.48 ± 0.15) mg/L, P<0.05. The results of Logistic multifactor regression analysis showed that diabetes mellitus, irregular inner wall, calcified plaque, postoperative anticoagulant therapy and BNP, Fib, D-D CRP levels were influential factors for postoperative ILT formation in Stanford type B ADA patients ( P<0.05). The C-index of the model was 0.903 and 0.894 for the modeled and validated populations, respectively, which had good discrimination and was good at predicting ILT formation after operation in Stanford type B ADA patients. The model had good clinical utility in predicting postoperative ILT formation in Stanford B ADA patients. Conclusions:The Nomograms model can help to screen and identify patients with high risk of ILT formation at an early clinical stage.

OBJECTIVE To study the correlation between color and inner quality during the processing of Prunus mume carbon， and provide reference for the determination of processing end point of P. mume carbon. METHODS The chromaticity value of P. mume carbon powder was measured by colorimeter， and the inner quality of P. mume carbon was measured by selecting the contents of water， water-soluble extract， citric acid and tannin. The dynamic change trend of the chromaticity value， water， water- soluble extract， the contents of citric acid and tannin in P. mume carbon under different processing time was analyzed. The correlation between color and the above indexe contents was analyzed， and the regression equation of inner quality-chromaticity value was established. Combined with principal component analysis （PCA）， hierarchical cluster analysis （CA） and partial least squares discriminant analysis （PLS-DA）， the difference of P. mume carbon at different processing times was analyzed to determine the processing end point. RESULTS With the extension of processing time， the sample color gradually deepened； the chromaticity values L* and E* of the samples increased at first and then decreased， the chromaticity values a* and b* decreased， and finally all tended to be stable. The content of water-soluble extract， citric acid and tannin in the sample increased at first and then decreased， the water content of the sample decreased with time and finally stabilized. Correlation analysis showed that water， water-soluble extract， citric acid and tannin were positively correlated with L*， a*， b* and E*（P＜0.001）. PCA and HCA showed that P. mume carbon under different processing time could be clustered into two categories： the processed samples of 0-30 min and those of 40-60 min. PLS-DA showed that water and water-soluble extract were important quality indexes and b* was an important chrominance index in the processing of P. mume carbon. The chromaticity value of the samples processed for 50 min and 60 min were not significantly different. The contents of water， water- soluble extract， citric acid and tannin in the samples processed for 60 min were less than those processed for 50 min. CONCLUSIONS There is a certain correlation between the color and the inner quality of P. mume carbon. The processing time of P. mume carbon should be 40-50 min.