Objective: To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors. Methods: From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method. The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered. Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray s method (LTB) was used to analyze the relationship between these profiles and NSSI behavior. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%. Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n =353) and high efficacy group (40.9%, n =244); among females, regulatory emotional self-efficacy was classified into three categories: low efficacy group (18.4%, n =114), high positive expression-low negative management group (56.3%, n =349), and high efficacy group (25.3%, n =157). There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females ( Z/H = -5.75 , 57.58, both P <0.01). The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females ( χ 2=38.00, 69.14, both P <0.01), and among females, the differences in NSSI prevalence rates between the high efficacy group and the low efficacy group ( χ 2=60.01) and between the high efficacy group and the high positive expression-low negative management group ( χ 2=31.34) were also statistically significant (both P < 0.016 7 ). Binary Logistic regression analysis revealed that, compared with the high efficacy group within each gender, the moderate positive expression-low negative management group among males ( OR =2.36), and both the low efficacy group and the high positive expression-low negative management group among females ( OR =6.19, 2.97), were at an increased risk of engaging in NSSI (all P <0.01). Conclusion Different latent profiles of regulatory emotional self efficacy among junior and senior high school students are associated with NSSI behavior.

Objective To elucidate the changes in the gut microbiota and molecular mechanism of huaier in enhancing the efficacy of oxaliplatin (OXA) chemotherapy in gastric cancer (GC). Methods The effects of huaier on the gut microbiota structure and intestinal barrier function in MKN45-bearing mice were analyzed by using 16S rRNA sequencing, RT-qPCR, and IHC. UPLC-MS and network pharmacology, as well as in vivo experimental approaches, were employed to investigate the key bioactive constituents of huaier systematically and elucidate the underlying mechanisms by which huaier exerts therapeutic effects against GC. The expression of the PI3K/AKT/SREBP pathway was detected in cancer cells and tissues via Western blot analysis. The safety profile of huaier combined with OXA was verified through serum biochemistry and HE-stained tissue section analyses. Results Huaier inhibited the PI3K/AKT/SREBP pathway by increasing the abundance of Akkermansia muciniphila, reduced lipid droplet deposition, and ultimately enhanced the sensitivity to OXA in the treatment of GC. Conclusion This study demonstrates the value of huaier in gastric cancer treatment by enhancing chemosensitivity and provides novel insights into its systemic therapeutic effects through molecular mechanisms and gut microbiota modulation.

Objective:To evaluate the effect of value orientation brief therapy(VBT)combined with selective serotonin reuptake inhibitors(SSRIs)on clinical symptoms,rumination,decision-making ability,and cognitive func-tion in patients with mild to moderate depression.Methods:Eighty patients meeting the DSM-5 diagnostic criteria for mild to moderate depression were randomly assigned to either a medication(SSRIs)group(36 completed)or a VBT combined group(38 completed)for a 6-week intervention.Baseline and post-intervention assessments includ-ed the Hamilton Depression Scale(HAMD),Hamilton Anxious Scale(HAMA),Ruminative Response Scale-Chi-nese Version(RRS-CV),Iowa Gambling Test(IGT),number of eye fixation(NEF),responsive search score(RSS)in exploratory eye trajectory movement were used to evaluate patients'anxiety and depression symptoms,ru-minative thinking,decision-making function,and cognitive function.Results:The VBT combined group showed sig-nificantly better therapeutic effects than the medication group(P＜0.05).Compared to baseline and the medication group,the VBT combined group had significantly lower post-intervention scores in HAMD,HAMA,symptom rumi-nation,introspective reflection,compulsive meditation,and RRS-CV total scores after intervention(Ps＜0.05),and significantly higher scores in IGT net profit scores,NEF,and RSS scores(Ps＜0.05).Compared with the medica-tion group,the VBT combined group demonstrated a greater reduction in HAMD,HAMA,symptom rumination,in-trospective reflection,compulsive meditation,and RRS-CV total scores before and after intervention(Ps＜0.05),and a larger increase in IGT net profit scores,NEF,and RSS scores(Ps＜0.05).Conclusion:VBT combined with SSRIs effectively improves the symptoms of depression,anxiety,decision-making ability,rumination thinking,and cognitive function in patients with mild to moderate depression.

Objective To develop a multi-parameter gait kinematics analysis and measurement system using artificial intelligence key point detection technology(AI system),and verify the effectiveness of the measurement.Methods A total of ten inpatients with abnormal gait were selected in Peking University Third Hospital from April to Oc-tober,2022,while ten normal subjects were recruited.Their gait data were measured using GaitWatch and AI sys-tem simultaneously.Results Compared with those from GaitWatch,the mean absolute error(MAE)of stride frequency,gait period,stride length and stride speed were little from AI system,with high accuracy(>95%)and good consistency(ICC>0.75);however,MAE of hip,knee and ankle angles was larger,and correlation was satisfactory(r>0.60).Conclusion The novel gait analysis system is accurate and consistent in measuring spatiotemporal gait parameters,but not well in measuring joint angles,which need to be modified.

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.

OBJECTIVES: To clarify the role of hippocampal glutamate system in regulating HPA axis in mediating the effect of electroacupuncture (EA) at the heart meridian for improving myocardial injury in rats with acute myocardial ischemia (AMI). METHODS: Male SD rats were randomized into sham-operated group, AMI group, EA group, and L-glutamic acid+EA group (n=9). Rat models of AMI were established by left descending coronary artery ligation, and EA was applied at the "Shenmen-Tongli" segment; the rats in L-glutamic acid+EA group were subjected to microinjection of L-glutamic acid into the bilateral hippocampus prior to AMI modeling and EA treatment. Cardiac functions of the rats were evaluated using echocardiography, and ECG and heart rate variation (HRV) were analyzed using PowerLab and LabChart. Pathological changes in the myocardial tissue was examined using HE staining, and serum levels of myocardial enzymes were detected with ELISA. Myocardial expressions of TH and GAP43 were detected with immunohistochemistry, and colocalization of VGLUT1, VGLUT2 and c-fos were observed using immunofluorescence staining; the expressions of VGLUT1, VGLUT2, NMDAR1 and NMDAR2B were detected using Western blotting. RESULTS: The rat models of AMI showed significantly decreased LVEF and LVFS and increased serum levels of myocardial enzymes in positive correlation with the HPA axis. Numerous TH- and GAP43-positive cells were observed in the hippocampus, where the expressions of NE and E, neurons colabeled with VGLUT1, VGLUT2 and c-fos, and expressions of VGLUT1, VGLUT2, NMDAR1, NMDAR2B and Glu increased significantly. All these changes were significantly improved by interventions with EA as compared with those in AMI and L-Glutamate+EA groups. CONCLUSIONS In rats with AMI, EA at the heart meridian can regulate excessive glutamate release in the hippocampus, thereby inhibiting HPA axis hyperactivity and reducing sympathetic nerve activity to protect the myocardial tissue.
Animals ; Electroacupuncture ; Male ; Rats, Sprague-Dawley ; Hippocampus/metabolism* ; Rats ; Glutamic Acid/metabolism* ; Myocardial Ischemia/physiopathology* ; Hypothalamo-Hypophyseal System/physiopathology* ; Pituitary-Adrenal System/physiopathology* ; Receptors, N-Methyl-D-Aspartate/metabolism*

Objective To compare the differences in stress on maxillary anterior implants and labial cortical bone under varying thicknesses of palatal bone plates through three-dimensional finite element analysis.Methods Using CBCT scan data and finite ele-ment software,a three-dimensional finite element model of maxillary central incisor implant restoration was constructed.The thickness of the palatal bone plate at the cervical region of the implant was set to 0,0.5,1.0 mm,respectively.The effects of different palatal bone plate thicknesses on the equivalent stress of the implant and the minimum principal stress(compressive stress)of the labial corti-cal bone under normal occlusal conditions were simulated.Results Under normal occlusion,when the palatal cervical bone plate thickness was 0,0.5,1.0 mm,the maximum equivalent stress of the implant was consistently located at the midline of the labial cervi-cal region at the implant-abutment interface,with values of 106.8,103.5,99.71 MPa,respectively.Meanwhile,the minimum princi-pal stress of the cortical bone appeared at the alveolar crest at the junction of the implant-abutment and labial alveolar bone,measuring 107.8,103.2,95.55 MPa,respectively.The results indicated that as the palatal cervical bone plate thickness decreased,both the maximum equivalent stress of the implant and the minimum principal stress of the labial cortical bone exhibited an increasing trend,though they remained below their respective yield strengths.Conclusion From a biomechanical perspective,maxillary anterior implant restoration remains feasible even when the thickness of the palatal bone plate at the cervical region of the implant is 0 mm.

Binge eating disorder(BED)is a common eating disorder whose pathogenesis involves both neurobiological and psychological mechanisms.At the neurobiological level,the development of BED is associated with abnormal resting-state brain functional connectivity in the reward circuitry,dysregulation of the endocannabinoid system,and elevated leptin levels.This paper reveals that the neurobiological mechanisms of BED may influence psychological processes,including habitual behavioral imbalances and impaired emotion regulation.Conversely,the dysfunction of behavior in the psychological domain may further modulate neurobiological manifestations.This finding provides insights for future research aimed at systematically integrating neural mechanisms into clinical interventions,ultimately facilitating treatment advancement and prognostic improvement.

A novel fumigation moxibustion device has been designed to enable adjustable and controllable moxa smoke temperature, maintaining a relatively stable fumigation temperature while improving the utilization efficiency of moxa smoke. The device consists of five main components: a temperature control chamber, fumigation outlet, temperature measurement module, moxa smoke filtration chamber, and elastic band. It is compact, refined, and easy to operate. The device allows users to set the desired fumigation temperature according to therapeutic needs and simultaneously filters and eliminates residual moxa smoke after treatment. This design addresses the challenges of traditional fumigation moxibustion therapy, including unstable moxa smoke temperature, difficulty in regulation, low utilization efficiency, and high dependence on manual operation. It contributes to the promotion and application of fumigation moxibustion therapy and supports the establishment of a standardized moxibustion system.
Moxibustion/methods* ; Humans ; Equipment Design ; Fumigation ; Temperature

Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.