When conducting extravehicular activities under low-gravity conditions like on the moon,the weight of the spacesuit is one of the loads that human body has to bear.The centroid position of the spacesuit will affect the motion control of the human-spacesuit system.In order to reveal the influence of the centroid position of the lunar spacesuit on human motion under lunar-gravity,a suspended 1/6 gravity simulation system was used for the experiment.When subjects were under different load centroids which include front and back on sagittal plane,left and right on coronal plane,up and down on cross-section plane,near to coordinate origin,the postures and plantar pressures of subjects during three typical movements:standing,single-knee standing and walking were captured.Inverse dynamics solution is adopted to analyze the joint torques of human body in above conditions.Combined with the subjective evaluation,the appropriate load centroid area was analyzed by comparative.The experiment shows that,human is non-sensitive to the up and down change of load centroid,the after is back change,the front and right load centroid are the mostly avoided.The results obtained by this study will provide a reference for the layout design of the lunar spacesuit.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

RNAs are involved in the crucial processes of disease progression and have emerged as powerful therapeutic targets and diagnostic biomarkers. However, efficient delivery of therapeutic RNA to the targeted location and precise detection of RNA markers remains challenging. Recently, more and more attention has been paid to applying nucleic acid nanoassemblies in diagnosing and treating. Due to the flexibility and deformability of nucleic acids, the nanoassemblies could be fabricated with different shapes and structures. With hybridization, nucleic acid nanoassemblies, including DNA and RNA nanostructures, can be applied to enhance RNA therapeutics and diagnosis. This review briefly introduces the construction and properties of different nucleic acid nanoassemblies and their applications for RNA therapy and diagnosis and makes further prospects for their development.

ObjectiveTo investigate the dietary preference and nutritional knowledge needs of the elderly people who dined at meal service sites. MethodsUsing the form of stratified and convenience sampling method with self-designed questionnaire was used， in November 2021， to select 700 elderly people who dine at meal service sites in 7 jurisdictions in Shanghai were selected， and a self-designed questionnaire was used to investigate the basic information. Results91.64% of the elderly surveyed would eat at relatively fixed meal service sites， and the total Dietary Diversity Score （DDS9） was 3.56±1.46. 41.45% of the elderly with diseases preferred unhealthy cooking methods. Only 8.03% of the surveyed seniors said they were unwilling to accept targeted and personalized nutrition tips and reminders. Multivariate logistic regression analysis showed that the probability reaching the “understanding” level of “Food Guide Pagoda for Chinese Residents” and “Four Principles Recommended by the Core Dietary Guidelines for the Elderly” was different in the elderly with different education levels. The willingness of the elderly to expect to receive different nutrition tips and reminders was related to whether they cared about the corresponding contents. There was a statistically significant difference （P<0.05） among the elderly who were concerned about different health problems in terms of the willingness to receive different nutritional tips. There were significant differences in the proportion of elderly people with different health status for intervention （χ²=5.402， P<0.05）. ConclusionThe elderly who dine at meal service sites are highly dependent on the sites， have a low level of dietary diversification， and do not have a high degree of understanding of nutrition-related knowledge， and have a high demand for targeted nutritional interventions. Nutritional interventions for the sick elderly should be piloted through multiple channels.

The incidence of struma ovarii(SO) is low, accounting for 5% to 15% of ovarian teratoma.Huge SO, pleural effusion and ascites with elevated carbohydrate antigen 125 are rare.There is no perfect clinical treatment guideline for the diagnosis and treatment of SO.MRI of patients with SO showed " Black Pearl" appearance.Appendectomy can be selected as the operation method.Postoperative pathology can confirm the diagnosis, and the prognosis is good.

Metabolic regulation has been proven to play a critical role in T cell antitumor immunity. However, cholesterol metabolism as a key component of this regulation remains largely unexplored. Herein, we found that the low-density lipoprotein receptor (LDLR), which has been previously identified as a transporter for cholesterol, plays a pivotal role in regulating CD8