Background: High coal dust exposure threatens miners’ occupational health and safety. While dust control is mainly implemented by enterprises, miners’ active participation is crucial for effective collaborative prevention. This study develops a feature reduction, genetic algorithm, and backpropagation (RS-GA-BP) hybrid evaluation model integrating behavioral and psychosocial factors to quantitatively assess collaborative dust prevention performance in coal mines. Methods: Guided by the theory of collaborative dust prevention among coal miners, this study incorporated human factors into the evaluation framework of prevention effectiveness. Using the rough set method, five key influencing factors were identified from twelve candidate variables. A prediction model for collaborative dust prevention effectiveness (RS-GA-BP) was then developed and applied by optimizing the BP neural network with a genetic algorithm. Results: The results indicated that technical context, conformity tendency, group cohesion, group driving force, and group dissipative force were the principal factors influencing collaborative prevention outcomes. Based on 955 survey responses from front-line coal miners, the model was trained and validated. The results showed that the GA-BP model outperformed the traditional BP model in terms of root mean square error, mean absolute error, and mean absolute percentage error, achieving a prediction accuracy of 95.73%. Conclusion The research results indicate that the RS-GA-BP model can effectively evaluate the dust prevention and control effectiveness among coal miners, thereby enriching the methodological framework for assessing dust prevention effectiveness in coal mines.

Under the new educational development trends,numerous universities are actively exploring the deep integration of digital information technology and artificial intelligence(AI)technology with teaching.Through a three-phase process involving stu-dents'pre-class AI-assisted online self-learning via knowledge graphs,interactive classroom teaching between teachers and students,and post-class collaborative enhancement,we explored intelligent visualization-assisted teaching,personalized learning,and multi-di-mensional,fine-grained formative assessment to help teachers offer differentiated attention and personalized guidance,encourage stu-dents'autonomous and personalized learning,enhance students'self-study capabilities.This teaching practice has achieved remark-able results in stimulating students'learning enthusiasm,broadening their knowledge base,and enhancing their self-directed learning capabilities.

BACKGROUND: Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targets of targeted therapy for non-small cell lung cancer (NSCLC). However, due to the difficulty of obtaining some primary tissues and the economic factors in some underdeveloped areas, some patients cannot undergo traditional genetic testing. The aim of this study is to establish a machine learning (ML) model using non-invasive peripheral blood markers to explore the biomarkers closely related to EGFR mutation status in NSCLC and evaluate their potential prognostic value. METHODS: 2642 lung cancer patients who visited Jiangsu Cancer Hospital from November 2016 to May 2023 were retrospectively enrolled and finally 175 NSCLC patients with complete follow-up data were included in the study. The ML model was constructed based on peripheral blood indicators and divided into training set and test set according to the ratio of 8:2. Unsupervised learning algorithms were used for clustering blood features and mutual information method for feature selection, and an ensemble learning algorithm based on Shapley value was designed to calculate the contribution of each feature to the model prediction result. The receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the model. RESULTS: Through the feature extraction and contribution analysis of the predictive results of the interpretable ML model based on the Shapley value, the top ten indicators with the highest contribution were: pathological type, phosphorus, eosinophils, monocyte count, activated partial thromboplastin time, potassium, total bilirubin, sodium, eosinophil percentage, and total cholesterol. The area under the curve (AUC) of the model was 0.80. In addition, patients with hyponatremia and squamous cell carcinoma group had a poor prognosis (P<0.05). CONCLUSIONS The interpretable model constructed in this study provides a new approach for the prediction of EGFR mutation status in NSCLC patients, which provides a scientific basis for the diagnosis and treatment of patients who cannot undergo genetic testing.
Humans ; Carcinoma, Non-Small-Cell Lung/diagnosis* ; Machine Learning ; Lung Neoplasms/diagnosis* ; Male ; Female ; Mutation ; Middle Aged ; ErbB Receptors/genetics* ; Prognosis ; Aged ; Retrospective Studies ; Adult ; Biomarkers, Tumor/genetics*

The aim of the experiment was to study the effects of Echinacea purpurea extract on the digestive ability,immune function and intestinal barrier of the Bamei ternary pigs.Forty-eight healthy pigs of 50 days old were randomly divided into four groups,each with three replicates and four pigs in each replicate.The control group(CON)was fed a basal diet,and the experimental group was divided into 5 g/kg(T1),10 g/kg(T2)and 15 g/kg(T3)of Echinacea extract in the basal diet.The pre-test period was 5 days and the main test period was 35 days with free feeding and drinking during the test period.The results showed that:There was no significant effect on the apparent digestibility of nutrients and jejunum morphology in the test group compared to the CON group(P＞0.05).Amylase and trypsin activities were significantly higher in the experimental group and lipase activities were significantly higher in T2 and T3 groups compared to CON group(P＜0.05).GSH,CAT and T-AOC activities were significantly higher in the experimental group compared to CON group(P＜0.05).In comparison with CON group,the levels of IL-1 and IL-6 were significantly lower in the experimental group(P＜0.05),and the levels of TNF-α were significantly lower in the T2 and T3 groups(P＜0.05);and the levels of IL-10 were signifi-cantly higher in the T3 group(P＜0.05).The mRNA and protein expression levels of TLR4,MyD88,TRAF6,and NF-κB were significantly lower in the experimental group(P＜0.05).The mRNA and protein expression levels of CLDN-1,OCLN and ZO-1 were significantly increased in the test group(P＜0.05).The results between the test groups showed that the protein expression levels of CLDN-1 and OCLN were significantly increased in the T3 group compared with the T1 group(P＜0.05).In conclusion,the addition of Echinacea extract to the ration can,to a certain ex-tent,improve the digestive ability,balance the immune ability,and improve the intestinal barrier function of the Bamei ternary pigs,thus promoting the intestinal health of pigs.

Objective:To investigate the clinical manifestation, therapy, and prognosis of Susac syndrome and enhance the understanding of this disease.Methods:A case summary was made.The clinical data of two siblings with Susac syndrome treated at Children′s Medical Center, Peking University First Hospital in January 2024 were summarized.Reported cases of pediatric Susac syndrome were reviewed.Results:The onset of the disease in the two siblings was at the age of 3.00 and 6.75 years, with recurrent headaches, tinnitus, hearing loss and encephalopathy symptoms.Cranial magnetic resonance imaging showed multiple cerebral microbleeding and microinfarction lesions, " snowball like" in the corpus callosum and diffuse white matter edema in the brain.Audiometry revealed sensorineural hearing loss.In one case, ophthalmic fluorescein angiography revealed ischemic changes due to branch retinal artery occlusions.No pathogenic variants were detected in gene testing.This child was diagnosed with Susac syndrome, and the symptoms were improved after treatment with Corticosteroids and Rituximab.No relapse was observed during the 9-month follow-up.A total of 20 pediatric cases of Susac syndrome were retrieved, including 18 reported previously and 2 cases from this study.There were 2 boys and 18 girls, with the age of onset ranging from 2.5 to 17.0 years.The common initial symptoms included headache (19 cases), vertigo and tinnitus or hearing loss (9 cases), and vision impairment or visual field defect (4 cases). The symptoms were improved after immunotherapy.Conclusions:With a low incidence, Susac syndrome is rare in children and difficult to diagnose.There may be a genetic predisposition in such disease.Early diagnosis and immunotherapy can low the relapse and improve the prognosis.

Under the new educational development trends,numerous universities are actively exploring the deep integration of digital information technology and artificial intelligence(AI)technology with teaching.Through a three-phase process involving stu-dents'pre-class AI-assisted online self-learning via knowledge graphs,interactive classroom teaching between teachers and students,and post-class collaborative enhancement,we explored intelligent visualization-assisted teaching,personalized learning,and multi-di-mensional,fine-grained formative assessment to help teachers offer differentiated attention and personalized guidance,encourage stu-dents'autonomous and personalized learning,enhance students'self-study capabilities.This teaching practice has achieved remark-able results in stimulating students'learning enthusiasm,broadening their knowledge base,and enhancing their self-directed learning capabilities.

The aim of the experiment was to study the effects of Echinacea purpurea extract on the digestive ability,immune function and intestinal barrier of the Bamei ternary pigs.Forty-eight healthy pigs of 50 days old were randomly divided into four groups,each with three replicates and four pigs in each replicate.The control group(CON)was fed a basal diet,and the experimental group was divided into 5 g/kg(T1),10 g/kg(T2)and 15 g/kg(T3)of Echinacea extract in the basal diet.The pre-test period was 5 days and the main test period was 35 days with free feeding and drinking during the test period.The results showed that:There was no significant effect on the apparent digestibility of nutrients and jejunum morphology in the test group compared to the CON group(P＞0.05).Amylase and trypsin activities were significantly higher in the experimental group and lipase activities were significantly higher in T2 and T3 groups compared to CON group(P＜0.05).GSH,CAT and T-AOC activities were significantly higher in the experimental group compared to CON group(P＜0.05).In comparison with CON group,the levels of IL-1 and IL-6 were significantly lower in the experimental group(P＜0.05),and the levels of TNF-α were significantly lower in the T2 and T3 groups(P＜0.05);and the levels of IL-10 were signifi-cantly higher in the T3 group(P＜0.05).The mRNA and protein expression levels of TLR4,MyD88,TRAF6,and NF-κB were significantly lower in the experimental group(P＜0.05).The mRNA and protein expression levels of CLDN-1,OCLN and ZO-1 were significantly increased in the test group(P＜0.05).The results between the test groups showed that the protein expression levels of CLDN-1 and OCLN were significantly increased in the T3 group compared with the T1 group(P＜0.05).In conclusion,the addition of Echinacea extract to the ration can,to a certain ex-tent,improve the digestive ability,balance the immune ability,and improve the intestinal barrier function of the Bamei ternary pigs,thus promoting the intestinal health of pigs.

Objective:To investigate the clinical manifestation, therapy, and prognosis of Susac syndrome and enhance the understanding of this disease.Methods:A case summary was made.The clinical data of two siblings with Susac syndrome treated at Children′s Medical Center, Peking University First Hospital in January 2024 were summarized.Reported cases of pediatric Susac syndrome were reviewed.Results:The onset of the disease in the two siblings was at the age of 3.00 and 6.75 years, with recurrent headaches, tinnitus, hearing loss and encephalopathy symptoms.Cranial magnetic resonance imaging showed multiple cerebral microbleeding and microinfarction lesions, " snowball like" in the corpus callosum and diffuse white matter edema in the brain.Audiometry revealed sensorineural hearing loss.In one case, ophthalmic fluorescein angiography revealed ischemic changes due to branch retinal artery occlusions.No pathogenic variants were detected in gene testing.This child was diagnosed with Susac syndrome, and the symptoms were improved after treatment with Corticosteroids and Rituximab.No relapse was observed during the 9-month follow-up.A total of 20 pediatric cases of Susac syndrome were retrieved, including 18 reported previously and 2 cases from this study.There were 2 boys and 18 girls, with the age of onset ranging from 2.5 to 17.0 years.The common initial symptoms included headache (19 cases), vertigo and tinnitus or hearing loss (9 cases), and vision impairment or visual field defect (4 cases). The symptoms were improved after immunotherapy.Conclusions:With a low incidence, Susac syndrome is rare in children and difficult to diagnose.There may be a genetic predisposition in such disease.Early diagnosis and immunotherapy can low the relapse and improve the prognosis.

Objective To investigate the application efficiency and potential of CT radiomics in differentiating malignant and benign sub-centimeter solid pulmonary nodules. Methods A retrospective study was performed on the sub-centimeter ( ≤ 10 mm) solid pulmonary nodules detected by enhanced CT in our hospital from March 2020 to January 2023. Malignancy was confirmed by surgical pathology, and benignity was confirmed by surgical pathology or follow-up. Lesions were manually segmented and radiomic features were extracted. The feature dimension was reduced via feature correlation analysis and least absolute shrinkage and selection operator (LASSO). The 5-fold cross validation was used to validate the model. Support vector machine, logistic regression, linear classification support vector machine, gradient boosting, and random forest models were established for CT radiomics. Receiver operating characteristic curves were drawn. Delong test was used to compare the diagnostic performance of the five classifiers. The optimal model was selected and compared to radiologists with medium and high seniority. Results A total of 303 nodules, 136 of which were malignant, were examined. Radiomics models were established after feature extraction and selection. On test set, the areas under the receiver operating characteristic curves of support vector machine, logistic regression, linear classification support vector machine, random forest, and gradient boosting models were 0.922 (95%CI: 0.893, 0.950), 0.910 (95%CI: 0.878, 0.942), 0.905 (95%CI: 0.872, 0.938), 0.899 (95%CI: 0.865, 0.933), and 0.896 (95%CI: 0.862, 0.930), respectively. Delong test indicated no significant differences in the performance of the five radiomics models, and the support vector machine model showed the highest accuracy and F1 score. The support vector machine model showed significantly higher diagnostic accuracy as compared to radiologists (83.8% vs. 55.4%, P < 0.001). Conclusion The radiomics models achieved high diagnostic efficiency and may help to reduce the uncertainty in diagnosis of malignant and benign sub-centimeter solid nodules by radiologists.