The elucidation of resources pertaining to the Chimonanthus praecox varieties and the establishment of a fingerprint serve as crucial underpinnings for advancing scientific inquiry and industrial progress in relation to C. praecox. Employing the SSR molecular marker technology, an exploration of the genetic diversity of 175 C. praecox varieties (lines) in the Yanling region was conducted, and an analysis of the genetic diversity among these varieties was carried out using the UPDM clustering method in NTSYSpc 2.1 software. We analyzed the genetic structure of 175 germplasm using Structure v2.3.3 software based on a Bayesian model. General linear model (GLM) association was utilized to analyze traits and markers. The genetic diversity analysis revealed a mean number of alleles (Na) of 6.857, a mean expected heterozygosity (He) of 0.496 3, a mean observed heterozygosity (Ho) of 0.503 7, a mean genetic diversity index of Nei՚s of 0.494 9, and a mean Shannon information index of 0.995 8. These results suggest that the C. praecox population in Yanling exhibits a rich genetic diversity. Additionally, the population structure and the UPDM clustering were examined. In the GLM model, a total of fifteen marker loci exhibited significant (P < 0.05) association with eight phenotypic traits, with the explained phenotypic variation ranging from 14.90% to 36.03%. The construction of fingerprints for C. praecox varieties (lines) was accomplished by utilizing eleven primer pairs with the highest polymorphic information content, resulting in the analysis of 175 SSR markers. The present study offers a thorough examination of the genetic diversity and SSR molecular markers of C. praecox in Yanling, and establishes a fundamental germplasm repository of C. praecox, thereby furnishing theoretical underpinnings for the selection and cultivation of novel and superior C. praecox varieties, varietal identification, and resource preservation and exploitation.
Bayes Theorem ; Biomarkers ; Phenotype ; Cluster Analysis ; Genetic Variation

Objective: To study the incubation period of the infection with 2019-nCoV Omicron variant BA.5.1.3. Methods: Based on the epidemiological survey data of 315 COVID-19 cases and the characteristics of interval censored data structure, log-normal distribution and Gamma distribution were used to estimate the incubation. Bayes estimation was performed for the parameters of each distribution function using discrete time Markov chain Monte Carlo algorithm. Results: The mean age of the 315 COVID-19 cases was (42.01±16.54) years, and men accounted for 30.16%. A total of 156 cases with mean age of (41.65±16.32) years reported the times when symptoms occurred. The log-normal distribution and Gamma distribution indicated that the M (Q₁, Q₃) of the incubation period from exposure to symptom onset was 2.53 (1.86, 3.44) days and 2.64 (1.91, 3.52) days, respectively, and the M (Q₁, Q₃) of the incubation period from exposure to the first positive nucleic acid detection was 2.45 (1.76, 3.40) days and 2.57 (1.81, 3.52) days, respectively. Conclusions: The incubation period by Bayes estimation based on log-normal distribution and Gamma distribution, respectively, was similar to each other, and the best distribution of incubation period was Gamma distribution, the difference between the incubation period from exposure to the first positive nucleic acid detection and the incubation period from exposure to symptom onset was small. The median of incubation period of infection caused by Omicron variant BA.5.1.3 was shorter than those of previous Omicron variants.
Male ; Humans ; Adult ; Middle Aged ; SARS-CoV-2 ; COVID-19 ; Bayes Theorem ; Infectious Disease Incubation Period ; Nucleic Acids

This study aimed to evaluate the efficacy and safety of Chinese patent medicines containing Hirudo in the treatment of atherosclerosis(AS) by network Meta-analysis, and to provide evidence-based reference for clinical treatment of AS. The clinical randomized controlled trial(RCT) on the treatment of atherosclerosis with Chinese patent medicines containing Hirudo were searched in CNKI, Wanfang, VIP, SinoMed, PubMed and EMbase from the establishment of the databases to July 1, 2022. And data extraction and quality assessment of the included RCT was performed according to the Cochrane standards. Stata 17 and ADDIS 1.16.5 were then used for Bayesian model network Meta-analysis. Finally, 67 RCTs with a total sample size of 6 826 cases were included, 3 569 cases in the experimental group and 3 257 cases in the control group, involving three oral Chinese patent medicines. Network Meta-analysis showed that in terms of reducing intima-media thickness(IMT), the top three Chinese patent medicines were Tongxinluo Capsules+sta-tins>Maixuekang Capsules+statins>Maixuekang Capsules. In terms of reducing plaque area, the top one was Maixuekang Capsules+sta-tins, and the other Chinese patent medicines had similar efficacy. For lowering AS Crouse scores, the top three were Maixuekang Capsules>Tongxinluo Capsules+statins>Naoxintong Capsules. For decreasing plaque number, the top three were Naoxintong Capsules+sta-tins>Tongxinluo Capsules+statins>Tongxinluo Capsules. With regard to adverse reactions/events, Naoxintong Capsules+statins had the lo-west incidence. In conclusion, in Chinese patent medicines containing Hirudo for the treatment of AS, Tongxinluo Capsules+statins, Maixuekang Capsules, Maixuekang Capsules+statins, and Naoxintong Capsules+statins were the primary choices to reduce IMT, AS Crouse scores, plaque area, and plaque number, respectively. The efficacy of Chinese patent medicines containing Hirudo with or without statins was more significant than that of statins alone in the four outcome indexes. Additionally, the treatment of AS should be evaluated comprehensively, and attention should be paid to Chinese patent medicines or their combination with western medicine, to optimize the treatment effect and minimize adverse reactions as the benchmark.
Humans ; Network Meta-Analysis ; Nonprescription Drugs/therapeutic use* ; Capsules ; Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Bayes Theorem ; Carotid Intima-Media Thickness ; Drugs, Chinese Herbal/therapeutic use* ; Atherosclerosis/drug therapy* ; Medicine, Chinese Traditional

In the digital transformation of Chinese pharmaceutical industry, how to efficiently govern and analyze industrial data and excavate the valuable information contained therein to guide the production of drug products has always been a research hotspot and application difficulty. Generally, the Chinese pharmaceutical technique is relatively extensive, and the consistency of drug quality needs to be improved. To address this problem, we proposed an optimization method combining advanced calculation tools(e.g., Bayesian network, convolutional neural network, and Pareto multi-objective optimization algorithm) with lean six sigma tools(e.g., Shewhart control chart and process performance index) to dig deeply into historical industrial data and guide the continuous improvement of pharmaceutical processes. Further, we employed this strategy to optimize the manufacturing process of sporoderm-removal Ganoderma lucidum spore powder. After optimization, we preliminarily obtained the possible interval combination of critical parameters to ensure the P_(pk) values of the critical quality properties including moisture, fineness, crude polysaccharide, and total triterpenes of the sporoderm-removal G. lucidum spore powder to be no less than 1.33. The results indicate that the proposed strategy has an industrial application value.
Bayes Theorem ; Data Mining ; Drug Industry ; Powders ; Reishi ; Spores, Fungal

In clinical, manually scoring by technician is the major method for sleep arousal detection. This method is time-consuming and subjective. This study aimed to achieve an end-to-end sleep-arousal events detection by constructing a convolutional neural network based on multi-scale convolutional layers and self-attention mechanism, and using 1 min single-channel electroencephalogram (EEG) signals as its input. Compared with the performance of the baseline model, the results of the proposed method showed that the mean area under the precision-recall curve and area under the receiver operating characteristic were both improved by 7%. Furthermore, we also compared the effects of single modality and multi-modality on the performance of the proposed model. The results revealed the power of single-channel EEG signals in automatic sleep arousal detection. However, the simple combination of multi-modality signals may be counterproductive to the improvement of model performance. Finally, we also explored the scalability of the proposed model and transferred the model into the automated sleep staging task in the same dataset. The average accuracy of 73% also suggested the power of the proposed method in task transferring. This study provides a potential solution for the development of portable sleep monitoring and paves a way for the automatic sleep data analysis using the transfer learning method.
Sleep ; Sleep Stages ; Arousal ; Data Analysis ; Electroencephalography

OBJECTIVE: To investigate the clinical efficacy of unicompartmental knee arthroplasty (UKA) in the treatment of knee osteoarthritis in patients over 75 years old. METHODS: The clinical efficacy of primary fixed platform UKA in patients with osteoarthritis, was retrospectively analyzed from October 2014 to November 2020. Age, body mass index (BMI), range of motion (ROM), preoperative joint function score, the quality of life score and other preoperative indicators were measured by propensity score matching (PSM). The patients were divided into elderly group (≥75 years old) and control group (<75 years old). Oxford knee score(OKS), Western Ontario McMaster Universities osteoarthritis index(WOMAC), Short Form-12 including physical component summary (PCS), mental component summary(MCS), minimal clinically important difference(MCID ) and clinical complications were evaluated preoperatively and postoperatively. RESULTS: A total of 514 patients were analyzed, 428 patients fulfilled the inclusion criteria. A propensity-score matching study was conducted to eliminate confounding factors. After 1∶2 propensity match, there were 84 patients in elderly group (≥75 years), age ranged from 75 to 88 years old, with an average of (78.79±3.08) years old, and 168 patients in control group (<75 years), age ranged from 47 to 74 years old, with an average of (64.10±5.96)years old. The follow-up duration of two groups ranged from 12 to 84 months with an average of (29.35±16.52) months in elderly group, and 12 to 85 months with an average of (31.83±17.34) months in control group. There was only significant difference in age between the elderly and control groups preoperatively (P<0.01). Postoperatively, the elderly group showed significantly higher WOMAC (P<0.01) and lower SF-12 PCS scores (P<0.01) as compared to the control group. There was no significant difference between the elderly group and the control group in knee range of motion, OKS and the proportion of each scoring system reaching the minimum clinical difference value (P>0.05). In the aspect of preperative complications, the elderly group exhibited more surgical site complications and postoperative delirium compared to control group(P<0.05). The differences in other indicators including deep vein thrombosis, acute urinary retention, cardiovascular events, cerebrovascular events and radiolucent lines around prothesis were not statistically significant(P>0.05). CONCLUSION UKA in the treatment of elderly patients over 75 years old with knee osteoarthritis was safe and feasible, and could obtain satisfactory short-term efficacy.
Humans ; Aged ; Aged, 80 and over ; Middle Aged ; Osteoarthritis, Knee/surgery* ; Knee Prosthesis ; Retrospective Studies ; Propensity Score ; Quality of Life ; Knee Joint/surgery* ; Arthroplasty, Replacement, Knee/methods* ; Treatment Outcome

Objective: To evaluate the effects on short-term clinical outcomes and long-term quality of life of laparoscopic-assisted radical proximal gastrectomy with esophageal gastric tube anastomosis versus total gastrectomy with Roux-en-Y anastomosis for adenocarcinoma of the esophagogastric junction. Methods: This was a propensity score matching, retrospective, cohort study. Clinicopathological data of 184 patients with adenocarcinoma of the esophagogastric junction admitted to two medical centers in China from January 2016 to January 2021 were collected (147 in the First Affiliated Hospital of Xiamen University and 37 in the Affiliated Hospital of Qinghai University). All patients had undergone laparoscopic-assisted radical gastrectomy. They were divided into two groups based on the extent of tumor resection and technique used for digestive tract reconstruction. A proximal gastrectomy with reconstruction by esophageal gastric tube anastomosis group comprised 82 patients and a total gastrectomy with reconstruction by Roux-en-Y anastomosis group comprised 102 patients. These groups differed significantly in the following baseline characteristics: age, preoperative hemoglobin, preoperative albumin, tumor length, tumor differentiation, and tumor TNM stage (all P<0.05). To eliminate potential bias caused by unequal distribution between the two groups, 1∶1 matching was performed by the nearest neighbor matching method. The 13 matched variables comprised sex, age, height, body mass, body mass index, preoperative glucose, preoperative hemoglobin, preoperative total protein, preoperative albumin, neoadjuvant radiotherapy, tumor length, degree of differentiation, and pathological TNM stage. Postoperative complications, postoperative nutritional status, incidence of reflux esophagitis 1 year after surgery, and quality of life were compared between the two groups. Results: After propensity score matching, 60 patients each were enrolled in the proximal gastrectomy with esophageal gastric tube anastomosis and total gastrectomy with Roux-en-Y anastomosis groups. The baseline characteristics were comparable between these groups (all P>0.05). There were no significant differences between the two groups in operative time, intraoperative bleeding, time to semifluid diet, postoperative hospital days, tumor length, and total hospital costs (P>0.05). Patients in the proximal gastrectomy with esophageal gastric tube anastomosis group had earlier postoperative gastric tube and abdominal drainage tube removal time than those in the total gastrectomy with Roux-en-Y anastomosis group (t=-2.183, P=0.023 and t=-4.073, P<0.001, respectively). In contrast, significantly fewer lymph nodes were cleared and significantly fewer lymph nodes were positive in the proximal gastrectomy with esophageal gastric tube anastomosis group than in the total gastrectomy with Roux-en-Y anastomosis group (t=-5.754, P<0.001 and t=-2.575, P=0.031, respectively). The incidence of early postoperative complications was 43.3% (26/60) in the total gastrectomy with Roux-en-Y anastomosis group; this is not significantly higher than the 26.7% (16/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group (χ²=3.663，P=0.056). The incidences of pulmonary infection (31.7%, 19/60) and pleural effusion (30.0%, 18/60) were significantly higher in the total gastrectomy with Roux-en-Y anastomosis group than in the proximal gastrectomy with esophageal gastric tube anastomosis group (13.3%, 8/60 and 8.3%, 5/60, respectively); these differences are significant (χ²=8.711, P=0.003 and χ²=11.368, P=0.001, respectively). All early complications were successfully treated before discharge. The incidence of long-term postoperative complications was 20.0% (12/60) in the total gastrectomy with Roux-en-Y anastomosis group and 35.0% (21/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group; this difference is not significant (χ²=3.386，P=0.066). The incidence of reflux esophagitis was 23.3% (14/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group; this is significantly higher than the 1.7% (1/60) in the total gastrectomy with Roux-en-Y anastomosis group (χ²=12.876, P<0.001). Body mass index had decreased significantly in both groups 1 year after surgery compared with preoperatively; however, the difference between the two groups was not significant (P>0.05). The differences in hemoglobin and albumin concentrations between 1 year postoperatively and preoperatively were not significant (both P>0.05). Quality of life was assessed using the Visick grade. Visick grade I dominated in both groups. The percentage of patients with Visick II and III in the total gastrectomy with Roux-en-Y anastomosis group was 11.7% (7/60), which is significantly lower than the 33.3% (20/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group (χ²=8.076, P=0.004). No patients in either group had a grade IV quality of life. Conclusions: Both proximal gastrectomy with esophageal gastric tube anastomosis and total gastrectomy with Roux-en-Y anastomosis laparoscopic-assisted radical surgery for adenocarcinoma of the esophagogastric junction are safe and feasible. However, both procedures have their own advantages and disadvantages in terms of postoperative complications. The incidence of reflux esophagitis is higher after proximal gastrectomy with esophageal gastric tube anastomosis, whereas the long-term quality of life is lower than that of patients after total gastrectomy with Roux-en-Y anastomosis.
Humans ; Anastomosis, Roux-en-Y ; Retrospective Studies ; Cohort Studies ; Esophagitis, Peptic ; Quality of Life ; Propensity Score ; Gastrectomy/methods* ; Esophagogastric Junction/surgery* ; Anastomosis, Surgical/methods* ; Adenocarcinoma/pathology* ; Stomach Neoplasms/pathology* ; Postoperative Complications ; Treatment Outcome

OBJECTIVES: Magnetic resonance diffusion-weighted imaging (DWI) has important clinical value in diagnosis and curative effect evaluation on endometrial carcinoma. How to improve the detection rate of endometrial small lesions by DWI is the research focus of MRI technology. This study aims to analyze the image quality of small field MRI ZOOMit-DWI sequence and conventional single-shot echo-planar imaging (SS-EPI) DWI sequence in the scanning of endometrial carcinoma, and to explore the clinical value of ZOOMit-DWI sequence. METHODS: A total of 37 patients with endometrial carcinoma diagnosed by operation and pathology in the Second Xiangya Hospital of Central South University from July 2019 to May 2021 were collected. All patients were scanned with MRI ZOOMit-DWI sequence and SS-EPI DWI sequence before operation. Two radiologists subjectively evaluated the anatomical details, artifacts, geometric deformation and focus definition of the 2 groups of DWI images. At the same time, the signal intensity were measured and the signal-to-noise ratio (SNR), contrast to noise ratio (CNR), and apparent diffusion coefficient (ADC) of the 2 DWI sequences were calculated for objective evaluation. The differences of subjective score, objective score and ADC value of the 2 DWI sequences were analyzed. RESULTS: The SNR of the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (301.96±141.85 vs 94.66±41.26), and the CNR of the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (185.05±105.45 vs 57.91±31.54, P<0.05). There was no significant difference in noise standard deviation between the ZOOMit-DWI group and the SS-EPI DWI group (P>0.05). The subjective score of anatomical detail and focus definition in the ZOOMit-DWI group was significantly higher than that of the SS-EPI DWI group (both P<0.05). The subjective score of artifacts and geometric deformation of ZOOMit-DWI group was significantly lower than that of the SS-EPI DWI group (both P<0.05). ADC had no significant difference between the ZOOMit-DWI group and the SS-EPI DWI group (P>0.05). CONCLUSIONS The image quality of ZOOMit-DWI is significantly higher than that of conventional SS-EPI DWI. In the MRI DWI examination of endometrial carcinoma, ZOOMit-DWI can effectively reduce the geometric deformation and artifacts of the image, which is more conducive to clinical diagnosis and treatment.
Female ; Humans ; Signal-To-Noise Ratio ; Endometrial Neoplasms/diagnostic imaging* ; Diffusion Magnetic Resonance Imaging/methods* ; Endometrium ; Echo-Planar Imaging/methods* ; Reproducibility of Results

OBJECTIVE: To compare the predictive ability of two extended Cox models in nonlinear survival data analysis. METHODS: Through Monte Carlo simulation and empirical study and with the conventional Cox Proportional Hazards model and Random Survival Forests as the reference models, we compared restricted cubic spline Cox model (Cox_RCS) and DeepSurv neural network Cox model (Cox_DNN) for their prediction ability in nonlinear survival data analysis. Concordance index was used to evaluate the differentiation of the prediction results (a larger concordance index indicates a better prediction ability of the model). Integrated Brier Score was used to evaluate the calibration degree of the prediction (a smaller index indicates a better prediction ability). RESULTS: For data that met requirement of the proportion risk, the Cox_RCS model had the best prediction ability regardless of the sample size or deletion rate. For data that failed to meet the proportion risk, the prediction ability of Cox_DNN was optimal for a large sample size (≥500) with a low deletion (< 40%); the prediction ability of Cox_RCS was superior to those of other models in all other scenarios. For example data, the Cox_RCS model showed the best performance. CONCLUSION In analysis of nonlinear low maintenance data, Cox_RCS and Cox_DNN have their respective advantages and disadvantages in prediction. The conventional survival analysis methods are not inferior to machine learning or deep learning methods under certain conditions.
Proportional Hazards Models ; Survival Analysis ; Calibration ; Computer Simulation ; Data Analysis

Accurate self-motion perception, which is critical for organisms to survive, is a process involving multiple sensory cues. The two most powerful cues are visual (optic flow) and vestibular (inertial motion). Psychophysical studies have indicated that humans and nonhuman primates integrate the two cues to improve the estimation of self-motion direction, often in a statistically Bayesian-optimal way. In the last decade, single-unit recordings in awake, behaving animals have provided valuable neurophysiological data with a high spatial and temporal resolution, giving insight into possible neural mechanisms underlying multisensory self-motion perception. Here, we review these findings, along with new evidence from the most recent studies focusing on the temporal dynamics of signals in different modalities. We show that, in light of new data, conventional thoughts about the cortical mechanisms underlying visuo-vestibular integration for linear self-motion are challenged. We propose that different temporal component signals may mediate different functions, a possibility that requires future studies.
Animals ; Humans ; Motion Perception/physiology* ; Bayes Theorem ; Optic Flow ; Cues ; Vestibule, Labyrinth/physiology* ; Photic Stimulation ; Visual Perception/physiology*