Objective To develop a multivariate modeling and prediction approach using the data of influenza incidence, meteorological factors and PM_2.5 variables in Hefei City, and to provide new insights into multivariate modeling and prediction methods. Methods PM_2.5 data were transformed into fractal dimension data and, along with meteorological data, were incorporated into a ConvLSTM model. The performance of this model was compared with traditional ARIMAX and multivariate LSTM models. Results The ARIMAX model's testing set Mean Absolute Error (MAE) was 95.75, Root Mean Square Error (RMSE) was 176.72, and Index of Agreement (IA) was 0.396642. The multivariate LSTM model's testing set MAE was 22.18, RMSE was 43.06, and IA was 0.974611. For the fractal dimension-based ConvLSTM model, the testing set MAE was 17.37, RMSE was 32.25, and IA was 0.988149. Conclusion The fractal dimension effectively captures the complexity and self-similarity of PM_2.5 concentration, providing the model with richer feature information. The fractal dimension-based ConvLSTM model significantly outperforms the traditional ARIMAX model and the multivariate LSTM model in prediction accuracy and can be used for predicting the number of influenza cases.

Objective To explore the expression and prognostic value of Smad ubiquitination regulator 2(SMURF2)and protein kinase C receptor 1(RACK1)in epithelial ovarian cancer(EOC)tissues.Methods Cancer tissue specimens of 112 patients with EOC(EOC group)admitted to the hospital from January 2019 to Janu-ary 2021,as well as normal ovarian tissue specimens of 60 patients with other ovarian diseases(control group)who underwent ovarian surgery in the same hospital during the same period were selected.The expressions of SMURF2 and RACK1 in EOC cancer tissues and normal ovarian tissues were detected by real-time fluores-cence quantitative PCR and immunohistochemistry.Pearson correlation analysis was used to analyze the rela-tionship between the expressions of SMURF2 mRNA and RACK1 mRNA in EOC cancer tissues.The Kaplan-Meier survival curve and Log-rank test were used to analyze the differences in survival prognosis among pa-tients with different expressions of SMURF2 and RACK1.Multivariate COX regression analysis was conduc-ted to analyze the influencing factors of survival prognosis in EOC.Results The expression level of SMURF2 mRNA in EOC cancer tissues was lower than that in normal ovarian tissues,and the expression level of RACK1 mRNA was higher than that in normal ovarian tissues,and the differences were statistically signifi-cant(P＜0.05).The expression levels of SMURF2 mRNA and RACK1 mRNA in EOC cancer tissues were negatively correlated(r=-0.764,P＜0.001).The positive rate of SMURF2 in EOC cancer tissues was lower than that in normal ovarian tissues,and the positive rate of RACK1 was higher than that in normal ovarian tis-sues.The difference was statistically significant(P＜0.001).Compared with the cancer tissues of EOC pa-tients with International Federation of Obstetrics and Gynecology(FIGO)stage Ⅰ-Ⅱ and no lymph node metastasis,the positive rate of SMURF2 was lower and the positive rate of RACK1 was higher in the cancer tissues of EOC patients with FIGO stage Ⅲ and lymph node metastasis,and the differences were statistically significant(P＜0.05).The 3-year overall survival rate of EOC patients in the SMURF2 positive group was higher than that in the negative group,and the 3-year overall survival rate of EOC patients in the RACK1 pos-itive group was lower than that in the negative group,and the differences were statistically significant(Log-Rank x2=4.938,5.251;P=0.028,0.018).FIGO stage Ⅲ,lymph node metastasis and positive RACK1 were risk factors affecting the survival prognosis of EOC(P＜0.001),while positive SMURF2 was a protective fac-tor(P＜0.001).Conclusion The expression level of SMURF2 is decreased and the expression level of RACK1 is increased in EOC cancer tissues.Both are related to FIGO stage and lymph node metastasis,and are markers for evaluating the survival prognosis of EOC patients.

Objective:To establish the standard of nursing quality in bone oncology department, and provide the basis for scientific evaluation of nursing quality in bone oncology department.Methods:On the theoretical basis of Donabedian′s three-dimensional quality model of "structure-process-outcome", and through literature review and semi-structured interview method, the "evaluation index of nursing quality in bone oncology department" was preliminatively formulated from November 2022 to June 2023. The Delphi method was used to select 31 experts from 31 third-level A hospitals and nursing colleges in 27 provinces or municipalities across the country for two rounds of correspondence consultation. The criteria were screened and modified to determine the evaluation criteria of nursing quality in bone tumor specialty.Results:The questionnaire recovery rate of 2 rounds of expert consultation was 100.00%, the authority coefficient of 2 rounds of expert consultation was 0.93, and the coefficient of variation of 1, 2 and 3-grade standards were all less than or equal to 0.25. The Kendall′s coefficient of concordance of the primary standards of the two rounds of expert consultation were both 0.088, in the secondary standards were 0.103 and 0.140, in the tertiary standards were 0.119 and 0.110. Through 2 rounds of expert letter consultation, the evaluation criteria for the quality of care in bone tumor specialties were divided into three levels, including 3 primary standards (structural quality criteria, process quality criteria and outcome quality criteria), 21 secondary standards and 80 tertiary standards.Conclusions:The construction process of nursing quality standard in bone oncology department is scientific and reliable, reflecting specialty characteristics, and can provide scientific basis for the evaluation of nursing quality in bone oncology department and standardize nursing behavior.

Tumors pose a serious challenge to global public health. The sensitive and precise detection of tumor biomarkers is very important for early screening and diagnosis of cancers. DNAzymes with outstanding physical, chemical, and biological properties are widely applied in the design of biosensing strategies. By the use of sensing platforms such as fluorescence, electrochemistry, and surface-enhanced Raman scattering, DNAzymes facilitate the early screening and detection of tumors. This article summarizes the functional mechanism and common classifications of DNAzymes, and the updates of DNAzymes-based novel biosensing technologies within the field of liquid biopsy, expecting the technical challenges yet to be surmounted and future developmental directions.

Objective To investigate the role and mechanism of zinc finger protein 281(ZNF281)in high glucose(HG)-induced epithelial-mesenchymal transition(EMT)and extracellular matrix(ECM)synthesis in renal tubular epithelial cells(RTECs).Methods HG induced RTECs were used to construct a diabetic kidney disease cell model,and cells were divided into the control group,the HG group and the mannitol group.Cell proliferation viability was detected by CCK-8.The expression of ZNF281 was knocked down in HG-treated RTECs using small interfering RNA(siRNA).HG-induced RTECs after knockdown of ZNF281 were divided into the control group,the HG group,the HG+ZNF281 siRNA group and the HG+ZNF281 vector group.Adenosine monophosphate-activated protein kinase(AMPK)was activated using AMPK agonist,acadexin(AICAR),and then cells were divided into the control group,the HG group,the HG+AICAR group and the HG+dimethyl sulfoxide group.The expression levels of ZNF281,EMT and ECM synthesis-related indexes were detected by qPCR and Western blot assay.Results Compared with the control group,the protein and mRNA expression levels of vimentin,α-smooth muscle actin(α-SMA),fibronectin(FN)and collagen Ⅰ(Col Ⅰ)were significantly higher,and the expression of E-cadherin was significantly lower in the HG group.Compared with the HG group,the protein and mRNA expression levels of EMT and ECM synthesis-related indexes were significantly changed in the HG+ZNF281 siRNA group and the HG+AICAR group.The protein and mRNA expression levels of ZNF281 were significantly reduced in the HG+AICAR group compared with the HG group.In cells co-treated with AICAR and transfected with ZNF281 plasmid,the expression levels of vimentin,α-SMA,FN and Col Ⅰ were significantly higher in the AICAR+ZNF281 group,and E-cadherin was significantly lower compared with that of the vector group.Conclusion AMPK inhibits EMT and ECM synthesis in HG-treated RTECs by negatively regulating the expression level of ZNF281.

Objective To explore the relationship between serum long non-coding RNA hypoxia-inducible factor 1 alpha antisense RNA 1(lncRNA HIFA1-AS1),CXC chemokine ligand 9(CXCL9)and disease severity,adverse pregnancy outcome in patients with preeclampsia.Methods A total of 83 patients with preeclampsia admitted to Xi'an Gaoxin Hospital January 2021 to December 2022 were taken as preeclampsia group,According to the time of diagnosis,patients with preeclampsia were divided into early onset preeclampsia group(n=39)and late onset preeclampsia group(n=44).According to the severity of the condition,patients with preeclampsia were divided into two groups:mild preeclampsia group(n=51)and severe preeclampsia group(n=32).According to pregnancy outcomes,they were divided into a normal pregnancy outcome group(n=56)and an adverse pregnancy outcome group(n=27).At the same time,60 healthy pregnant women with pregnancy were collected as control group.Real-time fluorescence quantitative PC(qRT-PCR)was used to detect serum lncRNA HIF1A-AS1,and enzyme-linked immunosorbent assay(ELISA)was used to detect serum CXCL9.Spearman rank correlation analysis was used to analyze the association between serum lncRNA HIF1A-AS1,CXCL9 and severity of disease.Logistic regression analysis was used to analyze the factors influencing the adverse pregnancy outcome in patients with preeclampsia.ROC curve was drawn to assess the predictive value of serum lncRNA HIF1A-AS1,CXCL9 for adverse pregnancy outcome.Results The relative expression of serum lncRNA HIF1A-AS1(0.73±0.26)in preeclampsia group was lower than that(1.15±0.34)in control group,and CXCL9 level(209.34±45.34 pg/ml)higher than that(116.80±37.76 pg/ml)in control group,the differences were statistically significant(t=8.379,12.903,all P<0.05).The relative expression of serum lncRNA HIF1A-AS1(0.58±0.21)in early-onset preeclampsia group was lower than that in late-onset preeclampsia group(0.86±0.27),and CXCL9 level(236.60±31.02 pg/ml)higher than that in late-onset preeclampsia group(185.18±23.63 pg/ml),the differences were statistically significant(t=5.226,8.551,all P<0.05).The relative expression of serum lncRNA HIF1A-AS1(0.52±0.21)in severe preeclampsia group was lower than that in late-onset preeclampsia group(0.97±0.34),and CXCL9 level(253.38±41.20 pg/ml)higher than that in late-onset preeclampsia group(159.65±40.79 pg/ml),the differences were statistically significant(t=6.409,10.152,all P<0.05).Serum lncRNA HIF1A-AS1 and CXCL9 were associated with condition of preeclampsia(r=-0.627,0.651,all P<0.05).CXCL9[OR(95%CI):1.581(1.098～2.276)]was independent risk factor for adverse pregnancy outcome in patients with preeclampsia(P<0.05).LncRNA HIF1A-AS1[OR(95%CI):0.806(0.673～0.965)]was a protective factor(P<0.05),and early-onset preeclampsia[OR(95%CI):1.390(1.088～1.775)]and severe preeclampsia[OR(95%CI):1.589(1.222～2.066)]were risk factors for adverse pregnancy outcome(all P<0.05).Serum lncRNA HIF1A-AS1,CXCL9 and indicators combined had predictive value for adverse pregnancy outcome in patients with preeclampsia,with AUC of 0.770,0.767 and 0.876,respectively.And the combined prediction AUC was better than single indicator,and differences were statistically significant(Z=2.455,2.398,all P<0.05).Conclusion Serum lncRNA HIF1A-AS1 expression is down-regulated and CXCL9 expression is up-regulated in patients with preeclampsia,both indicators are associated with severity of disease and adverse pregnancy outcome.Early detection of two indicators are expected to be markers for predicting adverse pregnancy outcome in patients with preeclampsia.

In recent year,under the influence of the concept of"slow employment"and"lazy employment",more and more job seekers flow to the market.Considering that human resource is the basic of hospital survival and development,and talent recruitment is the source of talent work,hospitals need to ensure effective recruitment of talents under the digital economy era,and seize these opportunities to attract talents.By analyzing the measures of the recruitment process of the Six Affiliated Hospital of Sun Yat-sen University during 2018-2023,the paper summarizes the hospital's experience to improve the recruitment process by building a broader,more complete,faster and more accurate recruitment system.At the same time,the recruitment process should be constantly optimized in accordance with the current policies of epidemic prevention and control to ensure that talents are available for hospitals and hospitals can employ the most suitable talents.

Establishing a full-cycle contract management model for comprehensive public hospitals has practical signifi-cance for the development of smart hospitals.The aim is to create a hierarchical and classified contract management system fo-cused on information sharing.The method involves outlining the systematic processes of contract management within the hospital,analyzing common issues from multiple dimensions-such as management processes,level of information technology,and process supervision-and proposing solutions to meet the requirements of modern public smart hospital contract management.Based on in-formation sharing and hierarchical management,this approach offers ideas for refined management in hospitals and promotes the high-quality development of comprehensive medical services in smart hospitals..

ObjectiveTo genotype Oncomelania hupensis， based on microsatellites， in different snail-bearing environments in Jiaxing City， Zhejiang Province， for population genetics analysis in order to explore the reasons and influencing factors for the existence or proliferation of snails and to provide scientific basis for effective monitoring and control of snails. MethodsA total of 90 snail samples from three populations were collected in Yaobang Village （YB） and Sanxing Village （SX） in Pinghu City， and Yunhe Farm （YH） in Xiuzhou District， all were selected for snail checking in key snail habitats of Jiaxing City in 2022. DNA of the snails was genotyped and analyzed for population genetics using nine microsatellite loci. ResultsA total of 84 alleles were observed， and the mean number of alleles （Na） was 7.889， 5.667， and 3.778 for YB， SX， and YH respectively； the number of effective alleles （NeA） was 4.807， 3.329， and 2.294， respectively； and the coefficients of inbreeding （F_IS） were 0.400， 0.377， and 0.493， respectively. Under the Infinite Allele Model （IAM）， the SX and YH might have a recent bottleneck. The NEstimator and LDNe software calculated effective population sizes （Ne） were above 31.9. AMOVA analysis showed that the variation of snails in the three populations mainly existed among individuals， accounting for 41.4% of the total variation. The value of the index of genetic differentiation between populations （F_ST） was 0.286， indicating a high degree of genetic differentiation. The results of the principal component analysis and phylogenetic tree were consistent， and the three populations were divided into two lineages， YB and SX were one lineage， and YH belonged to another independent lineage. Population history and dynamics analysis showed that the gene flow of the three populations was insufficient， population divergence history indicated that YH might have diverged from SX first， and YB was produced by the contact fusion of SX and YH. ConclusionThe genetic diversity of snail populations in Jiaxing City is generally low， and the snail populations are unstable， with a great degree of genetic differentiation and insufficient gene flow among populations. This study can provide a basis for evaluating the effectiveness of the control of the snail as well as monitoring the trend of the spread of the snail.

Objective To analyze the diagnostic efficacy and clinical significance of magnifying endoscopy combined with narrow-band imaging(ME-NBI),acetate-indigo rouge staining and multi-slice spiral CT for early gastric cancer and precancerous lesions.Methods 202 patients with suspected early gastric cancer and precancerous lesions from February 2019 to March 2022 were regarded as the subjects of this study,all the patients underwent ME-NBI,acetate-indigo rouge staining,and multi-slice spiral CT examination;The diagnostic value of different examination methods for early gastric cancer and precancerous lesions was analyzed using the receiver operator characteristic curve(ROC curve),using the pathological results of gastric cancer as the gold standard,the diagnostic value of ME-NBI,acetate-indigo rouge staining combined with multi-slice spiral CT and their combination in early gastric cancer and precancerous lesions was analyzed using a four grid table.Results The image quality of ME-NBI and acetate-indigo rouge staining combined examinations was significantly higher than that of their respective independent examinations(P<0.05).There was significant difference in the degree of differentiation in the clinical features of patients with early gastric cancer and precancerous lesions(P<0.05).The area under the curve(AUC)of ME-NBI for the diagnosis of early gastric cancer and precancerous lesions was 0.853,the accuracy was 85.64%,the sensitivity was 88.37%,and the specificity was 83.62%.The AUC of acetate-indigo rouge staining for the diagnosis of early gastric cancer and precancerous lesions was 0.814,the accuracy was 81.68%,the sensitivity was 83.72%,and the specificity was 80.17%.The AUC of multi-slice spiral CT for the diagnosis of early gastric cancer and precancerous lesions was 0.804,with an accuracy of 80.69%,a sensitivity of 82.56%,and a specificity of 79.31%.And the AUC of the three methods combined to diagnose early gastric cancer and precancerous lesions was 0.893,with an accuracy of 89.60%,a sensitivity of 93.02%,and a specificity of 87.07%.Conclusion ME-NBI,acetate-indigo rouge staining combined with multi-slice spiral CT has high diagnostic efficacy in early gastric cancer and precancerous lesions,and can be used in clinical practice.