Objective To investigate the value of multimodal model integrating digital mammography(MG)and MRI radiomics features for preoperative prediction of lymphovascular invasion(LVI)status in breast cancer.Methods The clinical and imaging data from 336 patients with pathologically confirmed invasive breast cancer were retrospectively analyzed and randomly divided into a training group(235 cases)and a test group(101 cases)according to the ratio of 7∶3.Feature dimensionality reduction was carried out by Pearson correlation analysis followed by least absolute shrinkage and selection operator(LASSO)regression.Radiomics models were constructed based on MG craniocaudal(CC),dynamic contrast enhancement(DCE),T2 WI,and integrated MRI sequences;a multimodal model was further developed by incorporating clinical high-risk factors.The predictive efficiency of each model was evaluated by plotting receiver operating characteristic(ROC)curve.Results The ROC curve analysis showed that the multimodal model performed the best predictive efficiency,with area under the curve(AUC)of 0.989 and 0.861,accuracy of 0.949 and 0.782,sensitivity of 0.923 and 0.828,and specificity of 0.962 and 0.764 in the training group and test group respectively.Conclusion The multimodal model,integrating MG and MRI radiomics features,show optimal performance and can be served as a preoperative prediction of LVI status in breast cancer.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

This study aims to investigate the protective effect of naringenin(Nar)on cadmium(Cd)-induced liver injury in chickens and its regulatory role in endoplasmic reticulum stress(ERS)and autophagy.Forty-eight 1-day-old Hyland Brown egg roosters were divided into four groups:The control group,the Cd group(150 mg/kg CdCl2),the Nar group(250 mg/kg Nar),and the Cd+Nar group(150 mg/kg CdCl2+250 mg/kg Nar),and the rearing period was 60 days.On the 60th day,6 chickens were randomly selected from each group,and after fasting for 24 hours,blood was collected via vein and then removed from the neck and executed,the livers were collected and organ coefficients were calculated,changes in the content of liver function-related indexes were de-termined,pathological sections were made and observed,and the expression of mRNA and protein of related genes were detected by fluorescence quantitative PCR and Western blot method.The re-sults showed that Cd treatment resulted in a highly significant decrease(P＜0.01)in body mass,a highly significant increase(P＜0.01)in liver coefficient,a highly significant increase(P＜0.01)in serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),and lactate dehydrogenase(LDH)levels were highly significantly increased(P＜0.01),hepatic antioxidant capacity was highly significantly reduced(P＜0.01),and ERS-related genes(GRP-78,PERK,eIF-2α,CHOP,ATF-4,ATF-6)and autophagy-related genes(Atg-5,Beclin-1,LC3)mRNA expression was highly significantly up-regulated(P＜0.01),and the expression of mRNA for p62 was highly significantly reduced(P＜0.01).After the addition of Nar,Cd-induced liver injury was significantly alleviated,liver function indexes improved,hepatic antioxidant capacity was highly significantly el-evated(P＜0.01),mRNA expression of ERS-related genes(GRP-78,PERK,eIF-2α,CHOP,ATF-4,ATF-6)and autophagy-related genes(Atg-5,Beclin-1,LC3)was highly significantly decreased(P＜0.01)and mRNA expression of P62 was highly significantly increased(P＜0.01).This study suggests that Nar has potential in alleviating Cd-induced liver damage in chickens through the reg-ulation of ERS and autophagy,providing theoretical support for its application in livestock health.

This study aims to investigate the protective effect of naringenin(Nar)on cadmium(Cd)-induced liver injury in chickens and its regulatory role in endoplasmic reticulum stress(ERS)and autophagy.Forty-eight 1-day-old Hyland Brown egg roosters were divided into four groups:The control group,the Cd group(150 mg/kg CdCl2),the Nar group(250 mg/kg Nar),and the Cd+Nar group(150 mg/kg CdCl2+250 mg/kg Nar),and the rearing period was 60 days.On the 60th day,6 chickens were randomly selected from each group,and after fasting for 24 hours,blood was collected via vein and then removed from the neck and executed,the livers were collected and organ coefficients were calculated,changes in the content of liver function-related indexes were de-termined,pathological sections were made and observed,and the expression of mRNA and protein of related genes were detected by fluorescence quantitative PCR and Western blot method.The re-sults showed that Cd treatment resulted in a highly significant decrease(P＜0.01)in body mass,a highly significant increase(P＜0.01)in liver coefficient,a highly significant increase(P＜0.01)in serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),and lactate dehydrogenase(LDH)levels were highly significantly increased(P＜0.01),hepatic antioxidant capacity was highly significantly reduced(P＜0.01),and ERS-related genes(GRP-78,PERK,eIF-2α,CHOP,ATF-4,ATF-6)and autophagy-related genes(Atg-5,Beclin-1,LC3)mRNA expression was highly significantly up-regulated(P＜0.01),and the expression of mRNA for p62 was highly significantly reduced(P＜0.01).After the addition of Nar,Cd-induced liver injury was significantly alleviated,liver function indexes improved,hepatic antioxidant capacity was highly significantly el-evated(P＜0.01),mRNA expression of ERS-related genes(GRP-78,PERK,eIF-2α,CHOP,ATF-4,ATF-6)and autophagy-related genes(Atg-5,Beclin-1,LC3)was highly significantly decreased(P＜0.01)and mRNA expression of P62 was highly significantly increased(P＜0.01).This study suggests that Nar has potential in alleviating Cd-induced liver damage in chickens through the reg-ulation of ERS and autophagy,providing theoretical support for its application in livestock health.

Objective To investigate the value of multimodal model integrating digital mammography(MG)and MRI radiomics features for preoperative prediction of lymphovascular invasion(LVI)status in breast cancer.Methods The clinical and imaging data from 336 patients with pathologically confirmed invasive breast cancer were retrospectively analyzed and randomly divided into a training group(235 cases)and a test group(101 cases)according to the ratio of 7∶3.Feature dimensionality reduction was carried out by Pearson correlation analysis followed by least absolute shrinkage and selection operator(LASSO)regression.Radiomics models were constructed based on MG craniocaudal(CC),dynamic contrast enhancement(DCE),T2 WI,and integrated MRI sequences;a multimodal model was further developed by incorporating clinical high-risk factors.The predictive efficiency of each model was evaluated by plotting receiver operating characteristic(ROC)curve.Results The ROC curve analysis showed that the multimodal model performed the best predictive efficiency,with area under the curve(AUC)of 0.989 and 0.861,accuracy of 0.949 and 0.782,sensitivity of 0.923 and 0.828,and specificity of 0.962 and 0.764 in the training group and test group respectively.Conclusion The multimodal model,integrating MG and MRI radiomics features,show optimal performance and can be served as a preoperative prediction of LVI status in breast cancer.

Objective To develop and validate a risk prediction model for social dysfunction in middle-aged and elderly patients with ischemic stroke.Methods A non-matched case-control study was conducted among ischemic stroke patients admitted to the neurology department of a tertiary hospital in Tangshan between August 2022 and March 2023.Patients who developed social dysfunction within 3 months after discharge were assigned to a case group,while those without it were assigned to a control group.Multivariate logistic regression was used to identify significant predictors and construct a nomogram-based prediction model.The model's discrimination and calibration were assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Internal validation was performed via bootstrap resampling,and clinical utility was evaluated using decision curve analysis.Results Logistic regression identified the following as significant risk factors for social dysfunction(P＜0.05):male gender,age≥60 years,primary education or below,rural residence,income＜3 000,cognitive impairment,low disability acceptance,poor self-management ability,suboptimal utilization of chronic disease resources,low future-oriented coping,and high cumulative ecological risk.The nomogram achieved an AUC of 0.874,with a sensitivity of 79.4％and specificity of 80.7％.The Hosmer-Lemeshow test indicated good calibration(x2=3.631,P=0.88).Conclusion The developed nomogram provides an effective tool for predicting the risk of social dysfunction in middle-aged and elderly ischemic stroke patients,facilitating early identification of high-risk individuals.

Objective: To understand the current situation and regulatory effectiveness of daylighting and artificial lighting in primary and secondary school classrooms in Shanghai, so as to provide a basis for enhancing the visual environment of school classrooms. Methods: From April 2021 to December 2023, the daylighting and artificial lighting conditions of classrooms in 1 735 regular primary and secondary schools currently in operation in Shanghai were monitored, and the qualified rate of each indicator was calculated. The Chisquare test or Fisher exact probability method were used to compare the differences in qualification rates across different educational stages, regions, school type, both before and after the implementation of regulatory measures. The regulatory measures included convene interview, propaganda and education, supervision order, supervisory opinion paper, rectification requests and offenses and punishment. Results: The qualified rate of daylighting and artificial lighting in primary and secondary school classrooms was 30.1%, with a qualified daylighting rate of 85.6% and a qualified artificial lighting rate of 32.9%. There was no statistically significant differences in the qualified rate of daylighting and artificial lighting in primary and secondary schools (32.4%，28.1%；χ2=3.76，P＞0.05). However, statistically significant differences were found in the qualified rate of daylighting and artificial lighting in urban and rural school classrooms (32.6%，26.7%), as well as in public and private schools (31.4%, 20.6%) (χ2=6.99，9.92，P＜0.05). Following the implementation of regulatory measures, the qualified rate of classroom daylighting and artificial lighting improved from 30.1% to 83.2%, while the respective qualified rates of daylighting and artificial lighting increased from 85.6% to 91.1% and 32.9% to 90.5%. Compared to the preimplementation period, the qualified rate of classroom daylighting and artificial lighting, as well as the respective rates of daylighting and artificial lighting, all showed statistically significant differences after the implementation of regulatory measures (χ2=995.29，25.34，1 219.87，P<0.01). Conclusions Effective regulatory measures can promote enhanced classroom daylighting and artificial lighting. Attention should be paid to improving classroom artificial lighting, in order to provide students with enhanced visual environment.

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.

OBJECTIVE To investigate the epidemic situation of Acinetobacter in lower respiratory tract infection and their drug resistance,in order to provide evidence for clinical anti-infection therapy. METHODS The data of Acinetobacter from the sputum specimens of inpatients in our hospital with lower respiratory tract infection during 2006-2007 were collected and analyzed with the software the software WHONET5.4. RESULTS Among all pathogens in lower respiratory tract infection,Acinetobacter accounted for 9.2% in 2006 and 7.4% in 2007,the rate in deparment of neurosurgery,surgical ICU and respiratory ICU was higher. Acinetobacter had the highest susceptible rate to imipenem and were also susceptible to meropenem and cefoperazone/sulbactam. However,Acinetobacter had higher resistant rate to imipenem and meropenem while higher susceptible rate to cefoperazone/sulbactam in 2007 than in 2006. The susceptible rate of Acinetobacter to the third and forth generation cephalosporins,amikacin,levofloxacin and aztreonam was lower than 50%. CONCLUSIONS The drug resistance mechanism of Acinetobacter is so complicated that many kinds of drugs prove poorly effective. Carbopenems are recommended when single drug is utilized and drug combination based on the clinical and laboratory information can be tried.