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.

OBJECTIVE To investigate the role and mechanism of paeonol in inhibiting the migration of bladder cancer T24 cells by regulating nuclear factor κB （NF-κB）/hypoxia-inducible factor-1α （HIF-1α）-mediated aerobic glycolysis. METHODS T24 cells were divided into control group， cisplatin group （positive control， 3.001 μg/mL）， and paeonol low-， medium- and high-dose groups （100， 200， 400 μg/mL）， respectively. After 24 h of administration intervention， the effect of paeonol on the migration ability of T24 cells was detected （expressed by the cell scratch wound healing rate）. The effect of paeonol on the mitochondrial membrane potential of T24 cells was detected （expressed by the ratio of red/green fluorescence intensity）. Cellular adenosine triphosphate （ATP） levels and lactate content in T24 cells were measured. The levels of NF-κB/HIF-1α signaling pathway， the expression of migration-related proteins， and key enzymes involved in aerobic glycolysis in the cells were all determined. RESULTS Compared with the control group， the cell scratch wound healing rates in the paeonol medium- and high-dose groups and the cisplatin group were decreased significantly （P＜0.01）； in the paeonol groups， the expression levels of NF-κB/HIF-1α signaling pathway-related proteins such as NF- κB and HIF-1α， migration-related proteins such as matrix metalloproteinase 2 （MMP2）， MMP9， and vascular endothelial growth factor， as well as key enzymes involved in aerobic glycolysis such as glucose transporter 1， hexokinase 2 and pyruvate kinase isozyme type M2， were all reduced to varying degrees in the cells， most of these reductions showed statistically significant differences （P＜0.05 or P＜0.01）； the ratio of red/green fluorescence intensity in mitochondria of cells in the medium- and high-dose paeonol groups were significantly decreased （P＜0.01）； the ATP concentration in cells of the paeonol high-dose group， and the lactate content in cells across all paeonol groups were significantly decreased （P＜0.05 or P＜0.01）. CONCLUSIONS Paeonol significantly inhibits the migration of bladder cancer T24 cells， and its mechanism of action may be related to the inhibition of the NF-κB/HIF-1α signaling pathway， and the down-regulation of key enzyme activities involved in aerobic glycolysis.

Objective To explore the correlation of MET status in patients with advanced prostatic acinar adenocarcinoma with the clinical pathological parameters and prognosis. Methods The specimen from 135 patients with advanced prostatic acinar adenocarcinoma was included. The expression of c-MET protein was detected via immunohistochemistry, and MET gene amplification was assessed by fluorescence in situ hybridization. The relationships of c-MET expression and gene amplification with clinicopathological features and prognosis were analyzed. Results The positive expression rate of c-MET was 52.60% (71/135). Compared with the c-MET expression in adjacent tissues, that in tumor tissues showed lower heterogeneous expression. Among the cases, 1.71% (2/117) exhibited MET gene polyploidy, but no gene amplification was detected. Positive c-MET expression was significantly correlated with high Gleason scores and grade groups (P=0.0073). However, no significant relationship was found between c-MET expression and progression-free survival or post-treatment t-PSA levels. Conclusion c-MET protein is expressed at a relatively low level in advanced prostatic acinar adenocarcinoma, suggesting that c-MET may not be a viable target for ADC drug development in prostatic acinar adenocarcinoma.

BACKGROUND: Alpha-glucosidase inhibitors or dipeptidyl peptidase-4 inhibitors are both hypoglycemia agents that specifically impact on postprandial hyperglycemia. We compared the effects of acarbose and sitagliptin add on to metformin on time in range (TIR) and glycemic variability (GV) in Chinese patients with type 2 diabetes mellitus through continuous glucose monitoring (CGM). METHODS: This study was a randomized, open-label, active-con-trolled, parallel-group trial conducted at 15 centers in China from January 2020 to August 2022. We recruited patients with type 2 diabetes aged 18-65 years with body mass index (BMI) within 19-40 kg/m 2 and hemoglobin A1c (HbA1c) between 6.5% and 9.0%. Eligible patients were randomized to receive either metformin combined with acarbose 100 mg three times daily or metformin combined with sitagliptin 100 mg once daily for 28 days. After the first 14-day treatment period, patients wore CGM and entered another 14-day treatment period. The primary outcome was the level of TIR after treatment between groups. We also performed time series decomposition, dimensionality reduction, and clustering using the CGM data. RESULTS: A total of 701 participants received either acarbose or sitagliptin treatment in combination with metformin. There was no statistically significant difference in TIR between the two groups. Time below range (TBR) and coefficient of variation (CV) levels in acarbose users were significantly lower than those in sitagliptin users. Median (25th percentile, 75th percentile) of TBR below target level <3.9 mmol/L (TBR 3.9 ): Acarbose: 0.45% (0, 2.13%) vs . Sitagliptin: 0.78% (0, 3.12%), P = 0.042; Median (25th percentile, 75th percentile) of TBR below target level <3.0 mmol/L (TBR 3.0 ): Acarbose: 0 (0, 0.22%) vs . Sitagliptin: 0 (0, 0.63%), P = 0.033; CV: Acarbose: 22.44 ± 5.08% vs . Sitagliptin: 23.96 ± 5.19%, P <0.001. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV (group with small wave, moderate wave and big wave). No significant difference was found in the complexity of glucose time series index (CGI) between acarbose users and sitagliptin users. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV. CONCLUSIONS: Acarbose had slight advantages over sitagliptin in improving GV and reducing the risk of hypoglycemia. Time series analysis of CGM data may predict GV and the risk of hypoglycemia. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR2000039424.
Humans ; Metformin/therapeutic use* ; Sitagliptin Phosphate/therapeutic use* ; Acarbose/therapeutic use* ; Diabetes Mellitus, Type 2/blood* ; Middle Aged ; Male ; Female ; Adult ; Blood Glucose/drug effects* ; Hypoglycemic Agents/therapeutic use* ; Aged ; Glycated Hemoglobin/metabolism* ; Adolescent ; Young Adult ; China ; East Asian People

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

The pain-evoked potential electroencephalogram (EEG) is an effective electrophysiological indicator for pain assessment, yet its extraction is challenging due to interference from background activity and involuntary blinks. Although existing blink artifact-removal methods show efficacy, they face limitations such as the need for reference signals, neglect of individual differences, and reliance on user input, hindering their practical application in clinical pain assessments. In this paper, we propose a novel framework applying adaptive quadrature mirror filter banks (AQMFB) with discrete wavelet transform (DWT) to remove blink artifacts in pain EEG. Unlike traditional DWT methods that apply fixed wavelets across subjects, our method adapts wavelet construction based on the characteristics of EEG. Experimental results demonstrate that AQMFB-DWT outperforms four leading methods in removing blink artifacts with minimal distortion of pain information, all within an acceptable processing time. This technique is a valuable preprocessing step for enhancing the extraction of pain-evoked potentials.
Humans ; Artifacts ; Blinking/physiology* ; Electroencephalography/methods* ; Pain/diagnosis* ; Male ; Wavelet Analysis ; Adult ; Female ; Evoked Potentials/physiology* ; Young Adult ; Brain/physiopathology* ; Pain Measurement/methods* ; Signal Processing, Computer-Assisted

Alzheimer's disease(AD) is a common neurodegenerative disease with increasing incidence rate. Up to now,there is no ideal treatment for AD. It has become a public health problem worldwide. Traditional Chinese medicine (TCM) believes that kidney deficiency is the key symptomatic element of deterioration and temporal progression symptoms,accompanied by the AD process. The treatment of tonifying kidneys,supplementing essence and replenishing marrow is the fundamental method for AD in TCM. Clinical studies have shown that kidney-tonifying formula can significantly improve the cognitive function and daily ability of patients with mild and moderate AD and have no obvious adverse reactions. Its mechanism of action may be related to the protection of nerves,reduction of β-amyloid (Aβ) level in the brain,inhibition of inflammatory factors activation and anti-oxidative stress. Besides reviewing the clinical and pharmacological research progress of kidney-tonifying formula for AD,this article also discusses the advantages and shortcomings of kidney-tonifying formula in the prevention and treatment of AD based on TCM theory and modern medical research. The aim of this study is to provide references of kidney nourishing therapy in TCM for the prevention and treatment of neurodegenerative diseases.

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective To assess the sweat secretion of Yin-deficient ovariectomized rats and investigate the changes in biochemical indexes.Methods Eighteen SD female rats were randomly divided into a sham operation group,model group,and positive control group of six rats each.The rats in the sham operation group underwent a sham operation,and those in the model group and positive control group underwent bilateral ovariectomy.L-Thyroxine(92 mg/kg)was given once a day for 7 consecutive days starting on the 7th postoperative day to establish a Yin-deficient ovariectomized model.The rats in the positive control group were orally administered Qinggu San Tang(7.3 g/kg)once a day,while those in the sham operation group and model group were orally administered an equal amount of distilled water once a day for a total of 14 days.Sweat secretion from the plantar region of the foot was measured using the Wada-Takagaki reagent coloring method.At the end of the experiment,blood was taken from the abdominal aorta and the tissue of the paw pads was separated.The serum levels cyclic adenosine monophosphate(cAMP),cyclic guanosine monophosphate(cGMP),luteinizing hormone(LH),gonadotropin-releasing hormone(GnRH),and estradiol(E2)were measured by enzyme-linked immunosorbent assay.Western Blot was used to determine the expression levels of M3 R,β2 AR,and aquaporin-5(AQP5)in the paw pad.Results The three main findings of this study were as follows.(1)Compared with the rats in the sham operation group,those in the model group were more irritable and aggressive,and their body weights decreased while their average temperature and sweat secretion significantly increased.(2)Serum cAMP level and cAMP/cGMP ratio increased,the LH and GnRH levels significantly increased,and the E2 level decreased.(3)M3 R expression was down-regulated and β2 AR and AQP5 expression was up-regulated in the paw pads of the rats.After 2 weeks of positive control treatment,the serum cAMP level and cAMP/cGMP ratio significantly decreased and the LH and GnRH levels decreased;however,no statistically significant difference was observed in the serum E2 level.The expression levels of M3 R were increased-regulated in paw pads of the rats,and reduced expression of β2 AR and AQP5.Conclusions Sweat secretion significantly increased in this"combined disease and evidence"model of perimenopausal syndrome kidney yin deficiency established by desiccation combined with thyroxine.The underlying mechanism may be related to the changes in cGMP,cAMP,and key proteins M3 R,β2 AR,and AQP5 in sweat glands that regulate sweat secretion.

Vascular cognitive impairment is a group of disorders characterized by cognitive dysfunction caused by vascular factors. Disruption of the blood-brain barrier is an early pathophysiological mechanism of vascular cognitive impairment. Dynamic contrast-enhanced magnetic resonance imaging and arterial spin labeling-based blood-brain barrier imaging techniques can quantitatively assess the integrity of the blood-brain barrier. In recent years, these techniques have gradually been applied to detect the extent of blood-brain barrier dysfunction. This article provides a comprehensive review of the basic principles of relevant magnetic resonance techniques and the progress made in their application to the assessment of the blood-brain barrier in vascular cognitive impairment.