Skull segmentation in magnetic resonance image(MRI)provides realistic skull models for MEG and EEG positive problems.An MRI skull segmentation method based on bi-stream pyramid decoder and deep supervision(BiNETR)is proposed to solve the problem of difficult segmentation due to the blurred and complex structure of MRI skull imaging.The method uses a bi-stream pyramid decoder as the main decoder in the network structure of encoding-decoding,including serial dual decoders for edge information oriented and precise feature merging.Specifically,edge information oriented pyramid decoder effectively enhances the edge information based on feature sharpening to improve the edge segmentation accuracy,and the precise feature merging pyramid decoder further refines and reuses the edge-enhanced features to promote the fusion of deep and shallow features.In addition,deep supervised computation of intermediate feature loss is introduced to implant the gradient into the deep network for enhancing network training.The segmentation algorithm is validated on the skull dataset,achieving a Dice similarity coefficient of 0.880±0.039 and an average symmetric surface distance of(0.931±0.286)mm,outperforming other state-of-the-art methods.The experimental results demonstrate the effectiveness and accuracy of the proposed algorithm in MRI skull segmentation.

Objective:To explore medical students'cognition,current status,and demands regarding practical skills training in a medical college under the background of new medical science.Methods:A cross-sectional survey was conducted among medical undergraduates from Year 1 to Year 5 in a medical college.A self-designed scale was used to investigate the cognition,current status,and demands related to new medical education concepts.Pearson correlation analysis was used to analyze the relationship between satisfaction with practical teaching facilities and variables including understanding of new medical education,curriculum design,and proportion of practical teaching.Multiple linear regression was conducted to investigate the factors influencing satisfaction.Results:Among 1 253 participants,70.71%acquired new medical science information through online media,while 52.99%learned about it via school courses.Over 80%endorsed"whole-cycle health management"(preventive care before disease onset 91.94%,disease treatment 81.72%,and post-illness rehabilitation 82.60%).Experimental courses(85.16%),clinical skills training(66.88%),and social practice(66.24%)were primary practical forms,but the participation rates of research practice(40.78%)and innovation/entrepreneurship practice(34.72%)was comparatively lower.The satisfaction with practical teaching was positively correlated with adequacy of faculty guidance(r=0.707)and curriculum rationality(r=0.522)(P＜0.01).The multiple linear regression analysis showed that faculty guidance(β=0.436)and the proportion of practical teaching(β=0.319)were the key predictors of satisfaction.Conclusion:Medical students'cognition of practical skills training,curriculum optimization,and adequacy of faculty guidance significantly influence satisfaction with practical teaching,with faculty guidance and rationality of practical process playing key roles.

Objective:To explore medical students'cognition,current status,and demands regarding practical skills training in a medical college under the background of new medical science.Methods:A cross-sectional survey was conducted among medical undergraduates from Year 1 to Year 5 in a medical college.A self-designed scale was used to investigate the cognition,current status,and demands related to new medical education concepts.Pearson correlation analysis was used to analyze the relationship between satisfaction with practical teaching facilities and variables including understanding of new medical education,curriculum design,and proportion of practical teaching.Multiple linear regression was conducted to investigate the factors influencing satisfaction.Results:Among 1 253 participants,70.71%acquired new medical science information through online media,while 52.99%learned about it via school courses.Over 80%endorsed"whole-cycle health management"(preventive care before disease onset 91.94%,disease treatment 81.72%,and post-illness rehabilitation 82.60%).Experimental courses(85.16%),clinical skills training(66.88%),and social practice(66.24%)were primary practical forms,but the participation rates of research practice(40.78%)and innovation/entrepreneurship practice(34.72%)was comparatively lower.The satisfaction with practical teaching was positively correlated with adequacy of faculty guidance(r=0.707)and curriculum rationality(r=0.522)(P＜0.01).The multiple linear regression analysis showed that faculty guidance(β=0.436)and the proportion of practical teaching(β=0.319)were the key predictors of satisfaction.Conclusion:Medical students'cognition of practical skills training,curriculum optimization,and adequacy of faculty guidance significantly influence satisfaction with practical teaching,with faculty guidance and rationality of practical process playing key roles.

Skull segmentation in magnetic resonance image(MRI)provides realistic skull models for MEG and EEG positive problems.An MRI skull segmentation method based on bi-stream pyramid decoder and deep supervision(BiNETR)is proposed to solve the problem of difficult segmentation due to the blurred and complex structure of MRI skull imaging.The method uses a bi-stream pyramid decoder as the main decoder in the network structure of encoding-decoding,including serial dual decoders for edge information oriented and precise feature merging.Specifically,edge information oriented pyramid decoder effectively enhances the edge information based on feature sharpening to improve the edge segmentation accuracy,and the precise feature merging pyramid decoder further refines and reuses the edge-enhanced features to promote the fusion of deep and shallow features.In addition,deep supervised computation of intermediate feature loss is introduced to implant the gradient into the deep network for enhancing network training.The segmentation algorithm is validated on the skull dataset,achieving a Dice similarity coefficient of 0.880±0.039 and an average symmetric surface distance of(0.931±0.286)mm,outperforming other state-of-the-art methods.The experimental results demonstrate the effectiveness and accuracy of the proposed algorithm in MRI skull segmentation.

ObjectiveTo investigate the protective effect of modified Huangqi Guizhi Wuwutang （MHGW） on endoplasmic reticulum stress in the sciatic nerve of diabetes rats based on the pathways of inositol-requiring enzyme 1α （IRE1α） and CCAAT/enhancer-binding protein homologous protein （CHOP）. MethodSixty rats were fed on a high-sugar and high-fat diet for six weeks， followed by intraperitoneal injection of streptozotocin at a dose of 35 mg·kg^-1. Random blood glucose levels were measured three days later and rats with a sustained blood glucose level ≥ 16.7 mmol·L^-1 were included in study （n=48）. The rats were randomly divided into a model group， an α-lipoic acid group （0.026 8 g·kg^-1·d^-1）， a high-dose MHGW group （2.5 g·kg^-1·d^-1）， and a low-dose MHGW group （1.25 g·kg^-1·d^-1）. Another 10 rats were assigned to the normal group. The intervention lasted for 16 weeks. After 16 weeks， the sciatic nerve structure of the rats in each group was observed under light microscopy using Luxol fast blue （LFB） staining. Transmission electron microscopy was used to observe the ultrastructure of the sciatic nerve. Chemiluminescence method was employed to measure the serum reactive oxygen species （ROS） levels. Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were used to evaluate the expression of p-IRE1α protein， IRE1α mRNA， CHOP protein， and CHOP mRNA in the sciatic nerve of the rats. ResultCompared with the normal group， the model group showed elevated serum ROS levels （P<0.01）. In contrast， the serum ROS levels were significantly reduced in the treatment groups compared with those in the model group （P<0.01）. The sciatic nerve of the model group showed pathological changes compared with that in the normal group， while the treatment groups exhibited improvement in sciatic nerve pathology compared with the model group. The protein expression of p-IRE1α and CHOP in the sciatic nerve significantly increased in the model group as compared with that in the normal group （P<0.01）. However， the treatment groups showed a significant decrease in the protein expression of p-IRE1α and CHOP in the sciatic nerve compared with the model group （P<0.05， P<0.01）. Furthermore， compared with the normal group， the model group showed upregulated mRNA expression of IRE1α and CHOP in the sciatic nerve （P<0.01）， while the treatment groups exhibited a significant decrease in the mRNA expression of IRE1α and CHOP compared with the model group （P<0.01）. ConclusionMHGW can alleviate endoplasmic reticulum stress-induced cell apoptosis and improve the structure and function of the sciatic nerve in diabetes rats by inhibiting the expression of IRE1α/CHOP pathway-related proteins and mRNA， thereby preventing and treating peripheral neuropathy in diabetes.

ObjectiveTo investigate the effect of modified Huangqi Guizhi Wuwutang （MHGW） on the protein and mRNA expression of B-cell lymphoma-2-associated X protein （Bax） and cysteinyl aspartate specific proteinase-12 （Caspase-12） related to the apoptosis of sciatic nerve cells in diabetes rats to explore the mechanism of MHGW in the treatment of peripheral neuropathy in diabetes. MethodAnimal experiments were conducted. A diabetes model was induced in sixty male sprague-dawley （SD） rats by feeding on a high-sugar and high-fat diet combined with streptozotocin （STZ） intraperitoneal injection. Rats with random blood glucose levels ≥ 16.7 mmol·L^-1 for three consecutive days were considered to have successfully developed diabetes. Forty-eight rats that successfully developed diabetes were randomly divided into a model group， an α-lipoic acid group （0.026 8 g·kg^-1·d^-1）， a high-dose MHGW group （2.5 g·kg^-1·d^-1）， and a low-dose MHGW group （1.25 g·kg^-1·d^-1）， with 12 rats in each group. Another 10 rats were assigned to the normal group. Body weight and random blood glucose levels of the rats were monitored. At the end of a 16-week intervention period， the sciatic nerve conduction velocity of the rats was measured using the Key point electromyography collection system. The protein and mRNA expression of Bax and Caspase-12 in the sciatic nerve cells was detected by Western blot analysis and real-time quantitative polymerase chain reaction （Real-time PCR）， respectively. ResultCompared with the normal group， the model group showed a significant decrease in body weight （P<0.01） and a significant increase in random blood glucose levels （P<0.01）. After a 16-week intervention， compared with the model group， the high-dose MHGW group exhibited a significant increase in body weight （P<0.05）， while there were no statistically significant differences in body weight changes among the other treatment groups. Random blood glucose levels significantly decreased in all treatment groups （P<0.01）. After 16 weeks of intervention， compared with the normal group， the model group had significantly reduced motor and sensory nerve conduction velocities （P<0.01）. Compared with the model group， all treatment groups showed significant increases in motor and sensory nerve conduction velocities （P<0.05， P<0.01）. The expression of Bax and Caspase-12 proteins in the sciatic nerve cells was significantly elevated in the model group compared with that in the normal group （P<0.01）. In contrast， all treatment groups showed significant reductions in the expression of Bax and Caspase-12 proteins in the sciatic nerve cells as compared with that in the model group （P<0.01）. The expression of Bax and Caspase-12 mRNA in the sciatic nerve cells significantly increased in the model group compared with that in the normal group （P<0.01）. Compared with the model group， the α-lipoic acid group and the high-dose MHGW group showed significant reductions in the expression of Bax mRNA in the sciatic nerve cells （P<0.05， P<0.01）， while the low-dose MHGW group showed a decreasing trend in the expression of Bax mRNA. The expression of Caspase-12 mRNA in the sciatic nerve cells significantly decreased in all treatment groups （P<0.01）. ConclusionMHGW may improve and repair sciatic nerve damage in diabetes rats by inhibiting sciatic nerve cell apoptosis.

Postzygotic mutations are acquired in normal tissues throughout an individual's lifetime and hold clues for identifying mutagenic factors.Here,we investigated postzygotic mutation spectra of healthy individuals using optimized ultra-deep exome sequencing of the time-series samples from the same volunteer as well as the samples from different individuals.In blood,sperm,and muscle cells,we resolved three common types of mutational signatures.Signatures A and B represent clock-like mutational processes,and the polymorphisms of epigenetic regulation genes influence the pro-portion of signature B in mutation profiles.Notably,signature C,characterized by C＞T transitions at GpCpN sites,tends to be a feature of diverse normal tissues.Mutations of this type are likely to occur early during embryonic development,supported by their relatively high allelic frequencies,presence in multiple tissues,and decrease in occurrence with age.Almost none of the public datasets for tumors feature this signature,except for 19.6％of samples of clear cell renal cell carcinoma with increased activation of the hypoxia-inducible factor 1(HIF-1)signaling pathway.Moreover,the accumulation of signature C in the mutation profile was accelerated in a human embryonic stem cell line with drug-induced activation of HIF-1α.Thus,embryonic hypoxia may explain this novel signature across multiple normal tissues.Our study suggests that hypoxic condition in an early stage of embryonic development is a crucial factor inducing C＞T transitions at GpCpN sites;and indi-viduals'genetic background may also influence their postzygotic mutation profiles.

Objective To explore relevant factors influencing self-management of diabetic patients and the effects on whole course health education and nursing. Methods Clinical data of 248 diabetic patients who were admitted to Peo-ple's Hospital of Xinchang County from May 2012 to January 2014 were retrospectively analyzed. They were assigned to two groups according to their nursing methods. Control rate of blood sugar, master rate of knowledge on diabetes,self-management rate and satisfaction of patients were compared between both groups. Results Scores of knowledge on diabetes, self-efficacy, social support, age and cultural background were independent influencing factors for self-management of diabetic patients. Control rate of blood sugar, master rate of knowledge on diabetes, self-management rate and satisfaction of patients in the observation group were all higher than those in the control group, and the dif-ferences were statistically significant (P<0.05). Conclusion Patients' age,cultural background,knowledge on diabetes,self-efficacy and social support are main influencing factors for self-management of diabetes. In clinical settings,whole course health education and nursing can be carried out, so as to improve patients' master rate of knowledge on diabetes,and optimize self-management levels.

Peking University Third Hospital is one of the first hospitals for experiments in clinical pathway selected by the Ministry of Health,which keeps optimizing the clinical pathway management mechanism and function of information system in its 4-year practice.This article described the combination strategy of clinical pathway management and information system applications,in terms of reasonable design of the management plan,standardized clinical pathway,strengthened execution control and improvement of the quality control.The purpose is to balance the relationship between clinical pathway management norms and user-friendliness of the system,enhance rationality and feasibility,improve efficiency and provide high-quality service to ensure medical safety.

Objective To establish a reasonable method to evaluate nursing quality with both the quantity and quality of nursing taken into account.Methods Quantity indexes of nursing were analyzed with decision tree method (CHAID)in SPSS18.0,which included the number of patients admitted to wards,first grade' s nursing days,critically ill patients,emergencies,operations,intravenous infusions,intramuscular injections,oxygen inhalations,urinary tract catheterizations,gastric tube catheterizations,enemas and the average turnover rate of beds.After the quantity analysis,the nursing units were divided into different groups according to their workload.Then,we made a comprehensive evaluation of nursing quality with 12 indicators on the same group.Results Decision tree analysis can identify hierarchy relationship of various nursing quantity indicators and high-priority work quantity variables.Furthermore,it can establish the hierarchical rule based on the distribution of high-priority variables,and serve the purpose of classifying nursing units based on nursing workload.Conclusion The decision tree method can provide a same-level nursing workload platform for quality examination.This has minimized the influence of nursing workload discrepancies on nursing quality examination,and made nursing quality more comparable with nursing workload units of the same level,thus a scientific method for comprehensive nursing quality evaluation.