AIM: To investigate the distribution characteristics of pathogens in patients with post-traumatic infectious endophthalmitis(PTIE)and their relationship with serum levels of macrophage inflammatory protein 1α(MIP-1α), heat shock protein 70(HSP70), and soluble triggering receptor expressed on myeloid cells 1(sTREM-1).METHODS:A total of 157 patients with PTIE from the Handan City Eye Hospital(The Third Hospital of Handan)from May 2023 to May 2025 were selected as the study group. They were divided into a good prognosis group and a poor prognosis group based on their uncorrected visual acuity at discharge. Meanwhile, 157 patients with ocular trauma but without endophthalmitis during the same period were selected as control group 1, and 157 healthy volunteers who underwent physical examinations during the same period were selected as control group 2. Aqueous humor and vitreous fluid samples were collected from the study group to detect the distribution of pathogens. The levels of serum MIP-1α, HSP70, and sTREM-1 were measured using the enzyme-linked immunosorbent assay. Multivariate Logistic regression analysis was performed to identify risk factors for poor prognosis. The predictive value of serum MIP-1α, HSP70, and sTREM-1 levels for poor prognosis was evaluated using receiver operating characteristic(ROC)and decision curve analysis(DCA).RESULTS: The general data of the participants in the three groups was comparable. A total of 173 pathogens were detected in the 157 patients with PTIE, with Gram-positive bacteria being the predominant type. The levels of serum MIP-1α and sTREM-1 in the study group were higher than those in control groups 1 and 2, while the level of HSP70 was lower than those in control groups 1 and 2(all P<0.05). There were no significant differences in the levels of serum MIP-1α, HSP70, and sTREM-1 between control groups 1 and 2(all P>0.05). In the poor prognosis group, the time of wound suture was ≥24 h, the wound location was in zones II/III, the type of trauma was rupture, the proportion of rupture injuries, and the levels of serum C-reactive protein, MIP-1α, and sTREM-1 were higher than those in the good prognosis group, while the level of HSP70 was decreased(all P<0.001). Multivariate Logistic regression analysis showed that the time of wound suture, wound location, type of trauma, C-reactive protein, MIP-1α, HSP70, and sTREM-1 were risk factors for poor visual prognosis in patients with PTIE(all P<0.05). The ROC curve results showed that the combined prediction of serum MIP-1α, HSP70, and sTREM-1 for poor visual prognosis in PTIE patients had an AUC value of 0.965, which was significantly higher than that of individual predictions(ZMIP-1α, ZHSP70, ZsTREM-1=3.628, 4.705, 3.930, all P<0.05). Additionally, the DCA curve showed that the combined prediction had a higher net benefit rate than individual predictions in the high-risk threshold range of 0.03-0.97.CONCLUSION:Gram-positive bacteria are the predominant type of pathogenic bacteria in patients with PTIE, with elevated levels of serum MIP-1α and sTREM-1 and decreased levels of HSP70. The combined detection of these three factors has a high predictive efficacy for visual prognosis in patients.

Objective To construct a competency-based and functioning-oriented training curriculum system for inclusive education teachers in primary and secondary schools based on World Health Organization International Classification of Functioning,Disability and Health(ICF)and rehabilitation competency framework(RCF).Methods Based on the policy documents of inclusive education from United Nations Educational,Scientific and Cultur-al Organization and the European Union,and aligning with China's national policies such as the 14th Five-Year Plan for Special Education Development and Improvement,this study systematically analyzed the core competen-cies required for primary and secondary inclusive education teachers using ICF and RCF,and developed a compe-tency-based and functioning-oriented training curriculum system.Results The core competencies for primary and secondary school teachers encompassed four dimensions under the con-text of inclusive education.In the dimension of professional identity and ethics,teachers needed to establish in-clusive education values and be able to use ICF to comprehensively understand students'functioning perfor-mance and developmental needs.In the dimension of inclusive teaching and support practices,it was emphasized the ability for inclusive instructional design based on functioning assessment,including applying universal design for learning,creating barrier-free learning environments and implementing multiple assessments.In the dimen-sion of collaboration and communication,it was needed to build home-school-community support networks and possess communication skills for interprofessional teamwork.In the dimension of continuous reflection and pro-fessional development,it was focused on teachers'continuous learning and professional growth.A curriculum system comprising four major modules including concepts and foundations,core skills for teaching and support,collaboration and expansion,and practical reflection and research were constructed based on this competency model.Conclusion Based on ICF and RCF,a competency-based and functioning-oriented training curriculum system has been established,providing a theoretical framework and practical pathway for improving the quality of inclusive edu-cation teachers in China.

[This corrects the article DOI: 10.1016/j.apsb.2021.07.004.].

Objective To explore the medication rules and therapeutic principles of Zhang Jingyue's miscarriage prevention therapies based on data mining technique and literature analysis.Methods The prescription data recorded in the chapter about pregnancy and fetal development from the volume of Women's Diseases in Jing Yue Quan Shu(Jingyue's Complete Works)were collected to establish a database.Frequency analysis,association analysis,and cluster analysis of the herbal medicines from the prescriptions for preventing miscarriage were performed using SPSS Modeler 18.0 and SPSS Statistics 26.0 to investigate Zhang's medication rules.Additionally,discussions on miscarriage prevention in the chapter about pregnancy and fetal development were systematically reviewed to summarize his therapeutic principles.Results A total of 76 miscarriage-prevention prescriptions involving 102 herbal medicinals were analyzed.Among them,26 high-frequency herbal medicinals(used≥5 times)were identified,and primarily belonged to the tonifying deficiency category(11 medicinals).Association analysis revealed 10 association rules with high support,such as"Atractylodis Macrocephalae Rhizoma→Ginseng Radix et Rhizoma"and"Glycyrrhizae Radix et Rhizoma Praeparata cum Melle→Ginseng Radix et Rhizoma,Atractylodis Macrocephalae Rhizoma".The network graph of drug association presented high-correlation herbs including Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Atractylodis Macrocephalae Rhizoma,Poria,Ginseng Radix et Rhizoma,and Angelicae Sinensis Radix.Cluster analysis yielded four core prescription groups:(1)Ziziphi Spinosae Semen,Polygalae Radix,Dioscoreae Rhizoma,and Corni Fructus;(2)Paeoniae Radix Alba,Chuanxiong Rhizoma,Rehmanniae Radix Praeparata,Atractylodis Macrocephalae Rhizoma,Ginseng Radix et Rhizoma,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Angelicae Sinensis Radix,Poria,and Citri Reticulatae Pericarpium;(3)Rehmanniae Radix,Glycyrrhizae Radix et Rhizoma,and Scutellariae Radix;(4)Pinelliae Rhizoma,Magnoliae Officinalis Cortex,Zingiberis Rhizoma Recens,and Jujubae Fructus.Zhang's therapeutic principles for preventing miscarriage were as follows:(1)treating primary diseases together by preventing miscarriage;(2)monthly-specific cultivation of the fetus to preemptively address deficiencies;(3)emphasis on maternal health to consolidate fetal vitality;(4)strict adherence to medication and dietary contraindications and lifestyle management during pregnancy.Conclusion Zhang Jingyue's miscarriage-prevention principles emphasize etiological diagnosis with dual focus on treating primary diseases and preventing miscarriage.His therapies prioritize replenishing qi and blood,skillfully regulating spleen-stomach function and qi movement by employing special and mild herbs and prescribing simplified and flexible formulas.These medication rules and therapeutic principles may provide valuable references for modern miscarriage-prevention strategies.

Objective To construct an MRI radiomics model of cerebral damage following carbon monoxide(CO)poisoning.Methods Ninety patients with CO poisoning and 70 healthy controls(HC)were scanned by structural MRI.All patients were randomly divided into training set(n=128)and test set in a ratio of 8∶2.The radiomics features of 9 regions of interest(ROI)were automatically extracted,and each ROI was subjected to 5-fold cross-validation and 9 different types of classifiers to construct a diagnostic model.Receiver operating characteristic(ROC)curve and decision curve analysis(DCA)were used to evaluate the diagnostic efficacy and clinical value of the model.Results The model based on the radiomics features of the whole brain gray matter(GM)and the left globus pallidus(LGP)had better diagnostic efficacy and clinical application value.The area under the curve(AUC)in the training set and the test set were 0.813,0.815 and 0.806,0.806,respectively.Conclusion The GM-based radiomics model can effectively diagnose cerebral damage following CO poisoning.

This study aims to simultaneously detect three antibiotic resistance genes(blaNDM,mcr-1 and cfr).A triplex fluorescence quantitative PCR method was established.Plasmids,primers and probes were designed and optimized.The method could specifically detect blaNDM,mcr-1 and cfr,but not other antibiotic resistance genes.The R2 of the standard curves of the three antibiotic re-sistance genes were all greater than 0.999,and the coefficients of variation were all lower than 1％.The lowest detection limits of the plasmids were 1 × 102 copies/μL.This method was used to de-tect 800 bacterial samples.The results showed that 32 samples contained mcr-1 gene,40 samples contained blaNDM gene,2 samples contained cfr gene,8 samples contained both mcr-1 and blaNDM genes.There were no samples carrying three antibiotic resistance genes detected.The results indica-ted that the triplex fluorescence quantitative PCR method established in this experiment had the advantages of high sensitivity,specificity and stability.It was suitable for rapid detection of blaNDM,mcr-1 and cfr antibiotic resistance genes in clinical practice.It provided a convenient and quick method basis for the detection of antibiotic resistance genes.

Objective We apply a class imbalance treatment method that can solve the between-class imbalance problem and the within-class imbalance problem of the minority class and the majority class at the same time.And combining it with RF classifier to achieve early recurrence prediction in DLBLC patients,which provided a reference for the treatment of DLBLC patients.Methods Firstly,we apply a class imbalance processing method based on Gaussian mixture model bi-directional clustering resampling to process the data.And compared with ROS,SMOTE,Borderline-1 SMOTE,Borderline-2 SMOTE,GMM oversampling,GMM undersampling,SMOTE+RUS,SMOTE+GMM and GMM+RUS.Afterwards,in order to verify the performance of RF,we use logistic regression and decision tree models as controls.Finally,the evaluation of the model is carried out in terms of discrimination and calibration.Results The RF model with GMM-GMM resampling achieved relatively optimal classification performance(accuracy=0.79,AUC=0.87,sensitivity=0.71,specificity=0.87,G-means=0.79,MSE=0.21).Conclusion GMM-GMM is superior to other traditional resampling methods,and combining it with the RF model for the prediction of early recurrence in DLBCL patients has achieved relatively good classification results,which can well realize the prediction of early recurrence in DLBCL patients.

BACKGROUND:Previous studies have mostly performed biomechanical analysis of early fracture healing by ignoring muscle loading and using simplified femoral loading. Nevertheless,the biomechanical effects of muscle loading on early fracture healing are still uncertain.OBJECTIVE:To construct various femoral loading models allows for the study of the biomechanical effects of muscle loading on fracture healing,enabling clinicians to gain a deeper understanding of the biomechanical process of fracture healing and to optimize treatment protocols.METHODS:The AnyBody Modeling System software was employed to construct a personalized human musculoskeletal system,which was then analyzed by simulation in order to obtain the musculoskeletal loading model in vivo. This model,along with the femur loading model constructed using the improved simplified loading method and the simplified loading method,was utilized as boundary conditions for the finite element inputs,which were used to analyze the locking compression plate stress-strain and interfragmentary strain in the standing condition,respectively.RESULTS AND CONCLUSION:(1) The locking compression plate stresses and strains and interfragmentary strains obtained from the musculoskeletal method were,respectively,31.9％,38.9％,and 19.5％ smaller than those obtained from the simplified loading method. (2) A comparison of the musculoskeletal method with the modified simplified loading method revealed that the neglect of muscle loading resulted in an overestimation of locking compression plate stress and strain,as well as interfragmentary strain,by 16.8％,14.3％,and 19.5％,respectively. Muscle loading did not have a significant effect on the magnitude of the shear motion of the fracture block,whereas it did have a significant effect on the direction of motion. (3) The results indicated that the simplified femoral loading and the method of ignoring muscle loading exhibited some deviation from the musculoskeletal loading situation. Consequently,it is necessary to consider the biomechanical effects of muscle loading in the study of fracture healing.

Tumor treating fields (TTF) therapy is an innovative tumor treatment modality. Currently, the TTF devices predominantly employ insulated ceramic electrodes as the electric field transmission medium, resulting in low energy transfer efficiency of the electric field and poor portability of the devices. This study proposed an innovative TTF transmission mode and independently designed a conducted-electrode TTF cell culture dish utilizing inert titanium materials. The electric field conduction characteristics were verified through finite element simulations and experimental tests. Finally, based on the self-manufactured conducted-electrode TTF cell culture dish, experiments on the proliferation inhibition of U87 tumor cells by TTF were conducted. The results demonstrated that under an applied TTF voltage of 10 V and frequency of 200 kHz, the electric field intensities within the medium for conducted and insulated electrodes are approximately 2.5 V/cm and 0.7 V/cm, respectively. Compared to conventional insulated TTF systems, the conducted-electrode TTF configuration exhibited a lower electrode voltage drop and a higher electric field intensity in the culture medium, indicating superior electric field transmission efficiency. Following 36 hours of treatment with conducted-electrode TTF on U87 cells, the proliferation inhibition rate reached approximately 50%, demonstrating effective suppression of tumor cell growth. This approach presents a potential direction for optimizing TTF treatment modality and device design.
Humans ; Electrodes ; Neoplasms/pathology* ; Cell Line, Tumor ; Cell Proliferation/radiation effects* ; Electric Stimulation Therapy/methods* ; Electromagnetic Fields

Objective This study aims to investigate the effect of berberine (Ber) on foam cell formation induced by oxidized low-density lipoprotein (ox-LDL) in macrophages and to explore the mechanism's association with the ACE2-Ang(1-7)-Mas axis. Methods They were randomly divided into blank group, model group (RAW264.7 cells induced with 60 μg/mL ox-LDL), and berberine group (the model treated with berberine interventions at 2.5, 5, and 10 μmol/L concentrations). Lipid accumulation within the cells was assessed by Oil Red O staining, and the content of lipid droplets in each group was quantitatively analyzed by enzymatic method. The content of total cholesterol (TC) and free cholesterol (FC) in foam cells were detected by enzymatic method. The levels of oxidative stress factors (malondialdehyde (MDA), superoxide dismutase (SOD), glutathione (GSH)), inflammatory factors such as tumor necrosis factor α(TNF-α), and nitric oxide (NO) were measured using corresponding relevant reagent kits. The mRNA and protein expressions of ACE2 and Mas were evaluated through quantitative real-time PCR and Western blot analysis, respectively. The levels of AngII and Ang(1-7) were detected by ELISA. Results Compared with the model group, the berberine groups exhibited reduced lipid droplet accumulation and a dose-dependent decrease in intracellular lipid content. Berberine significantly lowered TC and FC levels in foam cells and reduced the CE/TC ratio. The levels of the oxidative factor MDA were significantly reduced, while the levels of the antioxidant factors SOD and GSH were markedly increased. Inflammatory factors TNF-α and NO were significantly decreased. The expression of the ACE2-Ang(1-7)-Mas signaling pathway was significantly activated, and the effect was more pronounced in the Ber group with high-concentration compared to the group with low-concentration, demonstrating a dose-dependent response. Conclusion Berberine can inhibit macrophage foam cell formation, potentially through upregulation of the ACE2-Ang(1-7)-Mas signaling pathway, thereby contributing to the alleviation of atherosclerosis.
Berberine/pharmacology* ; Foam Cells/cytology* ; Animals ; Signal Transduction/drug effects* ; Mice ; Angiotensin-Converting Enzyme 2 ; Angiotensin I/genetics* ; Peptidyl-Dipeptidase A/genetics* ; Peptide Fragments/genetics* ; Receptors, G-Protein-Coupled/genetics* ; RAW 264.7 Cells ; Proto-Oncogene Proteins/genetics* ; Proto-Oncogene Mas ; Lipoproteins, LDL/pharmacology* ; Nitric Oxide/metabolism* ; Tumor Necrosis Factor-alpha/metabolism*