Objective: To investigate the prevalence and influencing factors of menopausal syndrome among postmenopausal women in Pan'an County, Zhejiang Province, so as to provide the basis for guiding the health management of postmenopausal women. Methods: From May 2023 to April 2024, the postmenopausal women aged 40 to 69 years in Pan'an County were selected using the random cluster sampling method. Demographic information, lifestyle and prevalence of gynecological diseases were collected through questionnaire surveys. The prevalence of menopausal syndrome was assessed by modified Kupperman Score Scale. Factors affecting menopausal syndrome were analyzed by a multivariable logistic regression model. Results: A total of 816 postmenopausal women were surveyed, with an mean age of (57.63±2.92) years and a mean natural menopause age of (49.85±2.13) years. There were 574 cases with menopausal syndrome, with a prevalence of 70.34%. Flashes and sweating, insomnia and irritability were common symptoms, accounting for 62.87%, 47.43% and 41.18%, respectively. Multivariable logistic regression analysis showed that monthly personal income of ≤5 000 yuan (<3 000 yuan, OR=3.124, 95%CI: 1.829-5.335; 3 000-5 000 yuan, OR=2.399, 95%CI: 1.370-4.201) and having gynecological diseases (OR=1.970, 95%CI: 1.292-3.004) were associated with a higher risk of menopausal syndrome, while average (OR=0.141, 95%CI: 0.072-0.276) or sufficient sleep quality (OR=0.095, 95%CI: 0.049-0.185) were associated with a lower risk of menopausal syndrome. Conclusion The prevalence of menopausal syndrome among postmenopausal women in Pan'an County is relatively high, and is mainly influenced by personal economic status, sleep quality and the presence of gynecological diseases.

Objective: To explore the relationship between positive parenting styles and academic emotions in junior high school students, as well as the chain mediation effects of parent-child communication and peer relationships, providing a theoretical basis for family education interventions. Methods: Using stratified cluster random sampling, 1 063 students from four junior high schools in a city in Anhui Province were selected for questionnaire surveys, form March to April, 2025. Core variables were measured using the Short form Parenting Style Scale, Adolescent Parent-Child Communication Scale, Peer Relationship Scale, and Adolescent Academic Emotion Questionnaire. Group comparison was conducted using t-test or analysis of variance, and Pearson correlation analysis was used to examine the correlation between positive parenting styles, peer relationships, parent-child communication and positive academic emotions. Multiple linear regression analysis was used to examine the effects of positive parenting styles, peer relationships and parent-child communication on positive academic emotions. A mediation effect model and Bootstrap method were employed to test the chain mediation effects. Results: Students who were class leaders, had parents with higher education levels, or came from intact families scored significantly higher on positive academic emotions ( t/F =7.23, 13.73, 10.67, 4.45, all P < 0.01 ). Positive parenting styles, peer relationships, and parent-child communication were all positively correlated with positive academic emotions ( r =0.45, 0.41, 0.38), and all three positively predicted positive academic emotions ( β =0.24, 0.23, 0.12) (all P < 0.01 ). Further analysis showed that positive parenting styles directly predicted positive academic emotions ( β =0.40) and also indirectly influenced academic emotions through parent-child communication ( β =0.07), peer relationships ( β =0.05), and the chain mediation path of "parent-child communication → peer relationships" ( β =0.04) (all P <0.05), with the total indirect effect accounting for 40.55%. Conclusion Positive parenting styles enhance junior high school students academic emotions through the chain mediation path of "parent-child communication → peer relationships", providing theoretical support for interventions within the educational ecosystem.

Hearing loss has become increasingly prevalent and causes considerable disability, thus gravely burdening the global economy. Irreversible loss of hair cells is a main cause of sensorineural hearing loss, and currently, the only relatively effective clinical treatments are limited to digital hearing equipment like cochlear implants and hearing aids, but these are of limited benefit in patients. It is therefore urgent to understand the mechanisms of damage repair in order to develop new neuroprotective strategies. At present, how to promote the regeneration of functional hair cells is a key scientific question in the field of hearing research. Multiple signaling pathways and transcriptional factors trigger the activation of hair cell progenitors and ensure the maturation of newborn hair cells, and in this article, we first review the principal mechanisms underlying hair cell reproduction. We then further discuss therapeutic strategies involving the co-regulation of multiple signaling pathways in order to induce effective functional hair cell regeneration after degeneration, and we summarize current achievements in hair cell regeneration. Lastly, we discuss potential future approaches, such as small molecule drugs and gene therapy, which might be applied for regenerating functional hair cells in the clinic.
Infant, Newborn ; Humans ; Hair Cells, Auditory, Inner/physiology* ; Ear, Inner/physiology* ; Hair Cells, Auditory/physiology* ; Regeneration/genetics* ; Stem Cells

Objective To study the changes in related parameters after secondary preparation of blood components,in order to further improve the quality of blood components.Methods Different centrifugation conditions were selected for the preparation of primary blood component red blood cells in additive solution leukocytes reduced,and the quality was tested.Then,using the red blood cells in additive solution leukocytes reduced as the initial blood for secondary preparation,and the red blood cells were washed through the Haemonetics ACP 215 device,and the quality was tested.The preparation pa-rameters of blood components were observed,compared and optimized.Results Under comparable centrifugation effects of different centrifugation conditions,the quality control items,which of primary blood components of red blood cells in additive solution leukocytes reduced and frozen plasma prepared by the separation,such as volume,hemoglobin,hematocrit and re-sidual white blood cells met the relevant national standards.And the quality control items of secondary blood components of washed red blood cells such as the hemoglobin and superalbumin content both met the relevant national standards,while vol-ume exceeded the standard by 7-14 mL,which can be operated to the standard range.In addition,the recovery rate of red blood cells and the clearance rate of plasma protein could reach 75%and 99%respectively.Conclusion There is a certain correlation between primary and secondary preparation of blood components,but the relevant parameters of secondary prepa-ration of blood components can be flexibly adjusted according to the actual situation to ensure that the quality of prepared blood component products meet the national standards,thus ensuring clinical treatment effect and safety.

Objective To construct a risk prediction model for liver cancer in patients with chronic hepatitis C based on seven different machine learning algorithms and select the optimal model. Methods A total of 236 patients with chronic hepatitis C were selected as the research subjects. Patients were divided into a case group and a control group according to whether liver cancer occurs. Prediction models were constructed based on seven machine learning algorithms including classification and regression tree, random forest, gradient boosting decision tree, extreme gradient boosting (XGBoost), logistic regression, K-near neighbor, and support vector machine. The Shapley additive explanations (SHAP) algorithm was used to interpret the best prediction model. Results Among the seven models, the XGBoost model had the best comprehensive prediction performance (accuracy of 0.933, sensitivity of 0.775, specificity of 0.960, area under the ROC curve of 0.956, F1 score of 0.764). The SHAP algorithm suggested that AFP, age, AST, diabetes, BMI, PLT, ALT, liver cysts, FIB-4, and gender contributed to the model decision and are the risk factors for liver cancer in patients with chronic hepatitis C. Conclusion This study develops an interpretable machine learning model based on the XGBoost algorithm, which has a good reference value for individualized monitoring of liver cancer in patients with chronic hepatitis C.

[This corrects the article DOI: 10.1016/j.apsb.2022.07.023.].

Objective To investigate the impact of CCND1 on renal ischemia-reperfusion-induced acute kidney injury through the promotion of glycolysis and elucidate its underlying molecular mechanism,thereby offering a novel therapeutic target for acute kidney injury.Methods We selected 8-week-old male C57BL/6 mice to establish a model of renal ischemia-reperfusion injury(IRI).To investigate the role of CCND1 in acute kidney injury(AKI),we employed a CCND1 overexpression plasmid and a CCND1 interference plasmid for both in vivo and in vitro experi-ments.Kidney function was evaluated using creatinine and urea nitrogen test kits,while glycolysis and indicators of renal tubule epithelial cell damage were assessed through quantitative real-time PCR,Western blotting,immunohis-tochemistry,and immunofluorescence techniques.Results In the model of renal ischemia-reperfusion-induced acute renal injury,down-regulation of CCND1 expression in renal tubular epithelial cells resulted in cellular and tissue damage.However,when an overexpression plasmid for CCND1 was administered in vivo,it significantly improved kidney function and reduced kidney injury in IRI mice.The overexpression of CCND1 promoted glycolysis,pyruvate production,and increased energy production.We further confirmed the role of CCND1 in vitro where its overexpres-sion promoted glycolysis,enhanced energy production,and alleviated AKI.Conversely,knockdown of CCND1 inhibited glycolysis leading to severe impairment in cell energy production and exacerbation of injury.Conclusions In summary,down-regulation of CCND1 expression in renal tubular epithelial cells is observed in acute kidney injury,while overexpression of CCND1 can ameliorate acute kidney injury induced by renal ischemia-reperfusion.This mechanism may be attributed to the promotion of glycolysis and timely restoration of energy supply to cells and tissues facilitated by CCND1 overexpression.