Objective There are so many tongue diagnosis features that need to be analyzed in Traditional Chinese Medicine(TCM),including tongue color,coating color,tongue morphology,and tongue dynamics,with about 30 different categories.Different tongue diagnosis features are often analyzed by individual methods,which fails to fully utilize the correlation between diagnostic features and greatly increases the overall implementation complexity of the TCM analysis system.Methods Therefore,in this paper,a TCM tongue color and coating color collaborative classification method based on relation network has been proposed.Firstly,a dual branch lightweight convolutional neural network has been constructed.By designing low and high layer feature fusion modules and combining Coordinate Attention mechanism,high classification accuracy can be achieved with lower model complexity.Secondly,a network for the tongue color and coating color relationship leaning has been designed to model the correlation between the two labels.By the network,the nonlinear information can be learned,which is used as a supplement for collaborative classification.Results The experimental results on two self-established TCM tongue diagnosis feature analysis datasets show that,the accuracy of tongue color classification reaches 95.17%and 93.67%respectively,while that of coating color classification reaches 91.11%and 90.53%respectively.Conclusion The proposed collaborative classification method can improve the classification accuracy of the two tasks,but simultaneously,the overall model complexity is reduced by almost half.

Objective There are so many tongue diagnosis features that need to be analyzed in Traditional Chinese Medicine(TCM),including tongue color,coating color,tongue morphology,and tongue dynamics,with about 30 different categories.Different tongue diagnosis features are often analyzed by individual methods,which fails to fully utilize the correlation between diagnostic features and greatly increases the overall implementation complexity of the TCM analysis system.Methods Therefore,in this paper,a TCM tongue color and coating color collaborative classification method based on relation network has been proposed.Firstly,a dual branch lightweight convolutional neural network has been constructed.By designing low and high layer feature fusion modules and combining Coordinate Attention mechanism,high classification accuracy can be achieved with lower model complexity.Secondly,a network for the tongue color and coating color relationship leaning has been designed to model the correlation between the two labels.By the network,the nonlinear information can be learned,which is used as a supplement for collaborative classification.Results The experimental results on two self-established TCM tongue diagnosis feature analysis datasets show that,the accuracy of tongue color classification reaches 95.17%and 93.67%respectively,while that of coating color classification reaches 91.11%and 90.53%respectively.Conclusion The proposed collaborative classification method can improve the classification accuracy of the two tasks,but simultaneously,the overall model complexity is reduced by almost half.

Objective:To delve into the intricate relationship between common genetic variations across the entire genome and the risk of non-syndromic cleft lip with or without cleft palate(NSCL/P).Methods:Utilizing summary statistics data from genome-wide association studies(GW AS),a thorough investigation to evaluate the impact of common variations on the genome were undertook.This involved assessing single nucleotide polymorphism(SNP)heritability across the entire genome,as well as within specific genomic regions.To ensure the robustness of our analysis,stringent quality control measures were applied to the GWAS summary statistics data.Criteria for inclusion encompassed the absence of missing values,a minor allele frequency≥1％,P-values falling within the range of 0 to 1,and clear SNP strand orientation.SNP meeting these stringent criteria were then meticulously included in our analy-sis.The SNP heritability of NSCL/P was calculated using linkage disequilibrium score regression.Addi-tionally,hierarchical linkage disequilibrium score regression to partition SNP heritability within coding re-gions,promoters,introns,enhancers,and super enhancers were employed,and the enrichment levels within different genomic regions using LDSC(v1.0.1)software were further elucidated.Results:Our study drew upon GWAS summary statistics data obtained from 806 NSCL/P trios,comprising a total of 2 418 individuals from the Chinese population.Following rigorous quality control procedures,490 593 out of 492 993 SNP were deemed suitable for inclusion in SNP heritability calculations.The observed SNP heritability of NSCL/P was 0.55(95％CI:0.28-0.82).Adjusting for the elevated disease pre-valence within our sample,the SNP heritability scaled down to 0.37(95％CI:0.19-0.55)based on the prevalence observed in the general Chinese population.Notably,our enrichment analysis unveiled significant enrichment of SNP heritability within enhancer regions(15.70,P=0.04)and super enhan-cer regions(3.18,P=0.03).Conclusion:Our study sheds light on the intricate interplay between common genetic variations and the risk of NSCL/P in the Chinese population.By elucidating the SNP heritability landscape across different genomic regions,we contribute valuable insights into the genetic basis of NSCL/P.The significant enrichment of SNP heritability within enhancer and super enhancer re-gions underscores the potential role of these regulatory elements in shaping the genetic susceptibility to NSCL/P.This paves the way for further research aimed at uncovering novel genetic pathogenic factors un-derlying NSCL/P pathogenesis.

Objective:The Capital′s Funds for Health Improvement and Research (referred to as ″CFH″), established to address clinical medical issues, have been operating for over a decade. This study aims to comprehensively evaluate the achievements of this fund and provide empirical support and recommendations for optimizing the operational model of the clinical research fund.Methods:An online questionnaire was used to investigate the following aspects of CFH: subject area, the person in charge, derived projects, theses, patents, transformation of results, and popularization and promotion.Results:A total of 745 projects were collected through the online survey, and after rechecking for outliers, 720 completed projects were ultimately included. The top three disciplinary domains, in terms of the number of completed projects, were oncology, cardiovascular diseases, and neurological disorders. The age distribution of project leaders exhibited a left-skewed pattern, with a median age of 45 years. 319 (44%) received support from other related projects subsequently. 95% of the projects resulted in paper publication. 211 (29%) projects applied for patents and copyrights, with 141 projects being granted patent authorization. 78 (11%) projects successfully achieved technology transfer, with transfer and licensing being the most common modes. 156 (22%) projects disseminated their outputs, often targeting secondary hospitals and community health institutions.Conclusions:CFH aligns with local needs, and the outputs are substantial. In the future, consideration can be given to establishing an evaluation mechanism, increasing efforts to promote high-quality outputs, strengthening the organizational model set by the project guidelines, and further improving the rolling support mechanism.

Objective To investigate the application effect of diversified management models for bowel preparation in colonoscopic examination.Methods A total of 100 inpatients with colonoscopic examination in the gastroenterology department of this hospital from October 2021 to March 2022 were selected and divided into the control group and observation group by adopting the random number table method,50 cases in each group.The control group was given the routine nursing and the observation group implemented the diversified management model nursing.The Boston bowel preparation scale(BBPS)score,intestinal preparation qualifi-cation rate,awareness of intestinal tract preparation knowledge and patients satisfaction on the nursing service were compared between the two groups.Results The BBPS score in the observation group was(7.10±0.99)points,which was significantly higher than(6.08±1.00)points in the control group,and the difference was statistically significant(t=5.095,P＜0.001).The intestinal preparation qualification rate in the observation group was also significantly higher than that in the control group[92％(46/50)vs.76％(38/50)]and the difference was statistically significant(x2=5.556,P=0.018).The awareness rate of intestinal tract prepara-tion knowledge and nursing service satisfaction score in the observation group were higher than those in the control group(P＜0.05).Conclusion Implementing the diversified management model can effectively in-crease the cleanliness of intestinal tract preparation,improve the quality of intestinal tract preparation and pa-tients satisfaction on the nursing service and is conducive to improve the diagnosis and treatment effects of the patients.

Objective:To construct the whole-process intelligent management system for preventing PICC-related bloodstream infections and explore its effect in preventing PICC-related bloodstream infections.Methods:From January 2021 to December 2022, patients with PICC admitted to Wenzhou People' s Hospital were selected as the research subject, the patients from January to December 2021 were divided into the control groups, the patients from January to December 2022 were divided into the observation group. The whole-process intelligent management system for preventing PICC-related bloodstream infections was constructed and applied with artificial intelligence, this study compared the incidence of PICC-related bloodstream infections and the implementation rate of PICC whole-process bundled management projects before and after system application.Results:The incidence of PICC-related bloodstream infections in the control group was 0.55‰ (14/25 674), while the incidence in the observation group was 0.20‰ (5/25 226), with a statistically significant difference (χ 2=4.110, P<0.05). The implementation rates of PICC whole-process bundled management projects in the control group and observation group were 74.04% (2 319/3 132) and 92.11% (2 885/3 132), respectively, with a statistically significant difference (χ 2=363.782, P<0.01) . Conclusions:The whole-process intelligent management system for preventing PICC-related bloodstream infections constructed optimizes the prevention and treatment process of PICC-related bloodstream infections, effectively ensures the implementation of nursing interventions and monitoring measures, and reduces the incidence of PICC-related bloodstream infections.

Objective:To compare the aortic remodeling of the Fabulous stent system and standard thoracic aortic endovascular repair (TEVAR) on distal aorta type B aortic dissection (TBAD). Methods:The prospective data collected between Dec 2017 and Oct 2019 from 134 patients with type B aortic dissection (TBAD) who underwent treatment with the "Fabulous" stent system, and retrospective data from 159 TBAD patients receiving standard TEVAR from corresponding multicenter. By using propensity score matching analysis, we compared the prognosis and aortic remodeling outcomes in patients undergoing Fabulous and standard TEVAR treatments during a 1-year postoperative follow-up.Results:In this study, 62 patients in Fabulous group and 62 patients in standard TEVAR were included.There were no significant statistical differences in baseline characteristics between the two groups. In terms of aortic remodeling in bare stent region, Fabulous group had better change trends of diameter of true lumen [10.6 (4.4, 14.5) mm vs. 4.7 (0.9, 10.7) mm, P=0.001] and false lumen [-24.2 (-30.5, -4.9) mm vs. 0.7 (-11.8, 2.3) mm, P<0.001] than those in the standard TEVAR group. The rate of complete false lumen thrombosis was also higher in the Fabulous group (62.9% vs. 37.1%, P=0.042). Conclusion:The Fabulous stent system, when compared to standard TEVAR surgery, demonstrates good aortic remodeling outcomes in the distal aorta.

Primary liver cancer is a common digestive system malignant tumor. Positron emission tomography and computed tomography (PET/CT) is a new molecular imaging technique which can reflect the metabolic status of tumors and provide more biological information about tumors. Radiomics is used to extract and analyze quantitative features that can describe tumor features in medical images with a high throughput. This article reviews PET/CT radiomics and its application in the diagnosis and prognosis assessment of hepatocellular carcinoma.

Objective:To understand the status of continuing care needs of patients with cleft lip and palate after discharge, and to analyze the influencing factors.Methods:Using convenience sampling method, 401 patients with cleft lip and palate and their nursing families who underwent sequential treatment of cleft lip and palate in Peking university hospital of stomatology from April to August 2021 were selected as the research objects. The general information questionnaire and self-made continuous nursing needs assessment table were used to investigate patients with cleft lip and palate current situation of continuous nursing needs and analyze the influencing factors.Results:The total score of continuing care needs of patients with cleft lip and palate was (91.53±12.07). From high to low, the demand dimensions were health promotion demand, disease self-care demand, doctor-patient communication demand and psychosocial support demand. The results of multivariate linear regression analysis showed that the mode of payment, the number of operations, the intention of rehabilitation guidance, the mode of continuation service and the expected continuation service cycle were the influential factors for the continuing nursing needs of patients with cleft lip and palate ( R2=0.282, F=27.16, P<0.05). Conclusion:Patients with cleft lip and palate have a high demand for continuing nursing. Individualized and effective continuous nursing intervention measures should be developed according to the needs of patients to promote the rehabilitation of patients.

One of the most common birth defects is cleft palate only (CPO) of which non-syndromic cleft palate only (NSCPO) accounts for 50%. NSCPO is a complex disease where multiple genes and environmental factors contribute to its risk. Unlike non-syndromic cleft lip with or without cleft palate (NSCL/P), previous genome-wide association studies only identified a few common genetic variations achieving genome-wide significance. This review summarizes the recent findings on genetic epidemiology of NSCPO. According to the current evidence, the candidate genes are divided into three categories: candidate genes with strong evidence, candidate genes with suggestive evidence, and candidate genes with inadequate evidence. The findings of epigenetic studies, the next generation sequencing studies, interaction analysis on NSCPO are also reviewed.