Objective:To systematically analyze the disease burden of soft tissue and extraosseous sarcomas (STEOS) among individuals aged 15-49 years old worldwide and in the Chinese mainland from 1990 to 2021, and explore the relationship between socio-economic development and disease burden.Methods:Incidence, mortality and disability-adjusted life year (DALY) for STEOS in populations aged from 15 to 49 were collected from the Global Burden of Disease (GBD2021) database. The temporal trends in disease burden were quantified using the average annual percentage change (AAPC). The socio-demographic index (SDI) was employed to examine the socio-economic development.Results:The global incidence rate of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.13, 95% CI:-0.23--0.04, P=0.299). In contrast, significant declines were observed in both mortality rate (AAPC=-0.39, 95% CI:-0.47--0.31, P<0.001) and DALY rate (AAPC=-0.46, 95% CI:-0.54--0.38, P<0.001). In the Chinese mainland, the incidence of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.10, 95% CI:-0.31-0.10, P=0.314), while the mortality rate (AAPC=-1.42, 95% CI:-1.59--1.25, P<0.001) and DALY rate (AAPC=-1.62, 95% CI:-1.82--1.42, P<0.001) declined steadily from 1990 to 2021. In 2021, high-SDI regions reported high incidence rate (1.38/100 000, 95% UI:1.28/100 000-1.46/100 000), mortality rate (0.42/100 000, 95% UI:0.39/100 000-0.43/100 000) and DALY rate (23.05/100 000, 95% UI:21.84/100 000-24.00/100 000), while low-SDI regions reported high mortality rate (0.36/100 000, 95% UI:0.27/100 000-0.54/100 000) and DALY rate (20.50/100 000, 95% UI:15.46/100 000-30.96/100 000). Conclusion:The disease burden of STEOS worldwide and in the Chinese mainland populations aged from 15 to 49 has declined consistently. Notably, STEOS constitutes a substantial disease burden, particularly among countries and regions with high-SDI and low-SDI in 2021.

The time-sensitive medical treatment advantages of unmanned aerial vehicles(UAVs)in casualty evacuation were described,along with their typical application scenarios and the principles of casualty evacuation.The development status of UAV-based casualty evacuation,both domestically and internationally,was reviewed.Key life-support technologies,such as intelligent injury recognition,fully automated cardiopulmonary resuscitation(CPR)and auto cruise-based mecha-nical ventilation,were examined as important research directions of casualty evacuation UAVs.Finally,future development trends in UAV casualty evacuation and transport system were envisioned from four dimensions of autonomous flight technology,life support systems,information interaction and policy regulations.

Objective::Pulmonary hypertension secondary to left heart failure is associated with an abnormal response to exercise and poor prognosis. The objective of this study is to develop an algorithm by using data from cardiopulmonary exercise testing (CPET) to assess the severity of pulmonary hemodynamics and predict clinical worsening and mortality in patients with heart failure.Methods::From April 2017 to December 2018, a total of 102 patients with heart failure who underwent CPET and invasive right heart catheterization participated in this prospective study. All enrolled patients had their clinical characteristics, hemodynamic parameters, and CPET results. Based on the CPET data namely peak oxygen uptake, the minute ventilation/carbon dioxide production slope, resting end-tidal carbon dioxide, oxygen uptake/work rate flattening, exercise oscillatory ventilation, and oxygen uptake efficiency slope, a Heart Failure Cardiopulmonary Exercise (HFCE) score was developed. The total score was then calculated to categorize patients into 3 groups: low score (0-3) ( n = 31), intermediate score (4-7) ( n = 45), and high score (8-14) ( n = 26). Clinical events were defined as all-cause death and rehospitalization for heart failure, which were recorded and tracked for at least 12 months. Pearson’s correlation coefficients were calculated to assess the relationship between the HFCE score and hemodynamic parameters, 6-minute walk distance, and N-terminal-pro hormone brain natriuretic peptide. Cox proportional hazards regression analysis was used to identify independent predictors of clinical events. Survival curves for clinical events were generated using the Kaplan-Meier method and compared among the 3 groups with different HFCE scores with a log-rank test. Results::The high HFCE score group had a higher prevalence of New York Heart Association class Ⅲ-Ⅳ (high score vs. intermediate score vs. low score: 85% (22/26) vs. 56% (25/45) vs. 45% (14/31), P = 0.008), higher N-terminal-pro hormone brain natriuretic peptide levels (high score vs. intermediate score vs. low score: (3,039 ± 2,171) ng/L vs. (2,039 ± 2,353) ng/L vs. (1,438 ± 947) ng/L, P = 0.035), lower 6-minute walk distance (high score vs. intermediate score vs. low score: (312 ± 79) m vs. (362 ± 84) m vs. (363 ± 76) m, P = 0.042) compared to intermediate score or low score. The high HFCE score correlated well with high levels of pulmonary vascular resistance ( r = 0.539, P < 0.01), pulmonary artery wedge pressure ( r = 0.292, P < 0.01), and mean pulmonary artery pressure ( r = 0.474, P < 0.01), as well as low levels of cardiac output ( r = -0.357, P < 0.01). Moreover, 46 patients developed composed clinical events at 12 months. In the multivariate model, the HFCE score was an independent predictor of composed clinical events (hazard ratio = 1.142, 95% confidence interval: 1.041-1.253, P = 0.005). Kaplan-Meier analysis showed a significantly higher probability of composed clinical events in patients with a higher HFCE score ( P log-rank = 0.004). Conclusion::The HFCE score—obtained through CPET—provides valuable prognostic information by indicating the severity of hemodynamics in patients with pulmonary hypertension secondary to left heart failure. It can likely serve as a reliable predictor for clinical worsening and mortality.

The time-sensitive medical treatment advantages of unmanned aerial vehicles(UAVs)in casualty evacuation were described,along with their typical application scenarios and the principles of casualty evacuation.The development status of UAV-based casualty evacuation,both domestically and internationally,was reviewed.Key life-support technologies,such as intelligent injury recognition,fully automated cardiopulmonary resuscitation(CPR)and auto cruise-based mecha-nical ventilation,were examined as important research directions of casualty evacuation UAVs.Finally,future development trends in UAV casualty evacuation and transport system were envisioned from four dimensions of autonomous flight technology,life support systems,information interaction and policy regulations.

Objective:To systematically analyze the disease burden of soft tissue and extraosseous sarcomas (STEOS) among individuals aged 15-49 years old worldwide and in the Chinese mainland from 1990 to 2021, and explore the relationship between socio-economic development and disease burden.Methods:Incidence, mortality and disability-adjusted life year (DALY) for STEOS in populations aged from 15 to 49 were collected from the Global Burden of Disease (GBD2021) database. The temporal trends in disease burden were quantified using the average annual percentage change (AAPC). The socio-demographic index (SDI) was employed to examine the socio-economic development.Results:The global incidence rate of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.13, 95% CI:-0.23--0.04, P=0.299). In contrast, significant declines were observed in both mortality rate (AAPC=-0.39, 95% CI:-0.47--0.31, P<0.001) and DALY rate (AAPC=-0.46, 95% CI:-0.54--0.38, P<0.001). In the Chinese mainland, the incidence of STEOS among individuals aged 15-49 remained relatively stable (AAPC=-0.10, 95% CI:-0.31-0.10, P=0.314), while the mortality rate (AAPC=-1.42, 95% CI:-1.59--1.25, P<0.001) and DALY rate (AAPC=-1.62, 95% CI:-1.82--1.42, P<0.001) declined steadily from 1990 to 2021. In 2021, high-SDI regions reported high incidence rate (1.38/100 000, 95% UI:1.28/100 000-1.46/100 000), mortality rate (0.42/100 000, 95% UI:0.39/100 000-0.43/100 000) and DALY rate (23.05/100 000, 95% UI:21.84/100 000-24.00/100 000), while low-SDI regions reported high mortality rate (0.36/100 000, 95% UI:0.27/100 000-0.54/100 000) and DALY rate (20.50/100 000, 95% UI:15.46/100 000-30.96/100 000). Conclusion:The disease burden of STEOS worldwide and in the Chinese mainland populations aged from 15 to 49 has declined consistently. Notably, STEOS constitutes a substantial disease burden, particularly among countries and regions with high-SDI and low-SDI in 2021.

Objective To design a search and rescue simulation training system to enhance medical command,search and rescue capabilities of the PLA air force.Method A search and rescue simulation training sysgtem was designed based on the war gaming theory and developed with C/S architecture,C++language and MongoDB database for data storage,which was composed of four subsystems for scenario setting,action coordination and commanding operation simulation.The scenario setting subsystem included 3 modules of map editing setting,scenario editing and organization preparation;the action coordination subsystem had 5 modules of deduction process control,deduction coordination intervention,deduction status monitoring,perspective control and addition of deduction conditions;the commanding operation subsystem involved in 3 modules of command and control,real-time information query and operation command;the operation simulation subsy-stem consisted of 3 modules of agent search,rescue and treatment simulation,operation ruling and operation intelligence management.Results The system developed facilitated search,rescue and commanding training-related teaching and search and rescue program rehearsal verification,and thus comprehensively enhanced the trainee's capabilities in search,rescue,commanding and decision making.Conclusion The system developed integrates effectively medical commanding with operational commanding during search and rescue,providing a novel means for air force search and rescue operations and medical service simulation training.[Chinese Medical Equipment Journal,2025,46(4):15-20]

Objective:To investigate the effect of early high-sucrose diet (eHSD) on cognitive function and its regulatory mechanism in 3×Tg-AD mice.Methods:(1) Eighteen specific-pathogen-free (SPF)-grade 2-month-old wide-type (WT) mice were randomly divided into a WT+normal chow diet (NCD) group and a WT+eHSD group, with 9 mice in each group; and 18 SPF-grade 2-month-old 3×Tg-AD mice were randomly divided into a 3×Tg-AD+NCD group and a 3×Tg-AD+eHSD group, with 9 mice in each group. At 2-5 months old, mice in the 4 groups received standard laboratory food+purified water or 30% sucrose water, followed by standard feed for all groups. At 8 months old, cognitive function was assessed by Morris water maze test; fluorescent intensity of AT8 (phosphorylated [p]-tau) and T22 (tau oligomers) in the hippocampal tissues was detected by immunofluorescent staining; concentrations of β-amyloid protein (Aβ) 42 and Aβ 40 were detected by enzyme-linked immunosorbent assay (ELISA); protein expressions of stimulator of interferon genes (STING), TANK-binding kinase 1 (TBK1), p-TBK1, and CCAAT/enhancer-binding protein β (C/EBPβ) were detected by Western blotting; activity of C/EBPβ transcription factor was detected by activity assay; mitochondrial DNA (mtDNA) content in the cytoplasm of cell was detected by real-time quantitative PCR (qPCR). (2) Eighteen SPF-grade 2-month-old 3×Tg-AD mice were randomized into a 3×Tg-AD+eHSD+H-151 group and a 3×Tg-AD+eHSD+dimethyl sulfoxide (DMSO) group, with 9 mice in each group. Mice at 2-5 months old were given standard laboratory food+30% sucrose water; they were, respectively, injected intraperitoneally with STING pathway inhibitor H-151 or DMSO at 5 months old, and continually injected until 8 months old; and then, the behavioral testing, immunofluorescent staining, ELISA, Western blotting and C/EBPβ transcription factor activity experiments were repeated as before. (3) After crossing C/EBPβ heterozygous knockout (C/EBPβ +/-) mice with 3×Tg-AD mice, 3×Tg-AD/C/EBPβ +/- mice were obtained, and 3×Tg-AD mice were used as controls; they were named 3×Tg-AD/C/EBPβ +/-+eHSD group and 3×Tg-AD+eHSD group, with 9 mice in each group. Both groups of mice were given standard laboratory food+30% sucrose water at 2-5 months old, followed by standard feed until 8 months old; and then, the behavioral testing, immunofluorescent staining, ELISA, and Western blotting experiments were repeated as before. (4) C/EBPβ transgenic mice (C/EBPβTg) were crossed with 3×Tg-AD mice to obtain C/EBPβTg/3×Tg-AD mice, and Non-Tg/3×Tg-AD mice were used as controls; they were, respectively, named as C/EBPβTg/3×Tg-AD+eHSD+H-151 group, Non-Tg/3×Tg-AD+eHSD+H-151 group, and Non-Tg/3×Tg-AD+eHSD+DMSO group, with 9 mice in each group. All 3 groups of mice were given standard laboratory food+30% sucrose water at 2-5 months old; at 5-8 months old, mice in the C/EBPβTg/3×Tg-AD+eHSD+H-151 group and Non-Tg/3×Tg-AD+eHSD+H-151 group were intraperitoneally injected with H-151, while mice in the Non-Tg/3×Tg-AD+eHSD+DMSO group were injected with DMSO; and then, the behavioral testing, immunofluorescent staining, ELISA, and Western blotting experiments were repeated as before. Results:(1) Compared with those in the WT+NCD group and WT+eHSD group, area under the latency curve of 3×Tg-AD+eHSD mice was significantly increased, and proportion of time spending in the targeted quadrant of mice in the 3×Tg-AD+NCD group and 3×Tg-AD+eHSD group was significantly decreased ( P<0.05); compared with that in the 3×Tg-AD+NCD group, proportion of time spending in the targeted quadrant in mice of the 3×Tg-AD+eHSD group was significantly reduced ( P<0.05). Compared with the 3×Tg-AD+NCD group, the 3×Tg-AD+eHSD group had significantly increased p-tau and tau oligomers, Aβ 42 and Aβ 40 concentrations in the hippocampus (AT8 fluorescent intensity: 1.000±0.076 vs. 2.902±0.399; T22 fluorescent intensity: 1.000±0.145 vs. 2.495±0.273; Aβ 42: 1.000±0.167 vs.1.956±0.132; Aβ 40: 1.000±0.226 vs.1.900±0.116), significantly increased C/EBPβ protein expression and C/EBPβ transcription factor activity (1.000±0.164 vs. 1.804±0.112; 1.000±0.216 vs. 2.743±0.301), and statistically increased mtDNA level detected by D-loop1 and D-loop3 (1.000±0.234 vs. 2.800±0.210; 1.000±0.155 vs. 2.952±0.078; P<0.05). Compared with the 3×Tg-AD+NCD group, the 3×Tg-AD+eHSD group had significantly increased STING protein expression and p-TBK1/TBK1 ratio (STING: 1.000±0.192 vs. 2.093±0.081; p-TBK1/TBK1: 1.000±0.148 vs. 1.561±0.112, P<0.05). (2) Compared with the 3×Tg-AD+eHSD+DMSO group, the 3×Tg-AD+eHSD+H-151 group had significantly decreased area under the latency curve, significantly increased proportion of time spending in the targeted quadrant, significantly decreased p-tau and tau oligomers expressions, Aβ 42 and Aβ 40 concentrations in the hippocampus (AT8 fluorescent intensity: 1.000±0.142 vs. 0.538±0.057; T22 fluorescent intensity: 1.000±0.104 vs. 0.665±0.088; Aβ 42: 1.000±0.084 vs. 0.600±0.007; Aβ 40: 1.000±0.138 vs. 0.476±0.083), significantly decreased STING protein expression and p-TBK1/TBK1 ratio (STING: 1.000±0.054 vs. 0.468±0.111; p-TBK1/TBK1: 1.000±0.057 vs. 0.598±0.090), and significantly decreased C/EBPβ transcription factor activity (1.000±0.097 vs. 0.445±0.106; P<0.05). (3) Compared with the 3×Tg-AD+eHSD group, the 3×Tg-AD/C/EBPβ +/-+eHSD group had significantly decreased area under the latency curve, significantly increased proportion of time spending in the targeted quadrant, significantly decreased p-tau and tau oligomers, Aβ 42 and Aβ 40 concentrations in the hippocampus (AT8 fluorescent intensity: 1.000±0.160 vs. 0.506±0.065; T22 fluorescent intensity: 1.000±0.127 vs. 0.346±0.048; Aβ 42: 1.000±0.017 vs. 0.510±0.101; Aβ 40: 1.000±0.098 vs. 0.586±0.153), and significantly decreased C/EBPβ protein expression (1.000±0.101 vs. 0.568±0.094; P<0.05). (4) Compared with the Non-Tg/3×Tg-AD+eHSD+DMSO group, the Non-Tg/3×Tg-AD+eHSD+H-151 group had significantly decreased area under the latency curve, significantly increased proportion of time spending in the targeted quadrant, and significantly decreased p-tau and tau oligomers expressions, Aβ 40 concentration in the hippocampus, and the Non-Tg/3×Tg-AD+eHSD+H-151 group, the C/EBPβTg/3×Tg-AD+eHSD+H-151 group had significantly decreased STING protein expression and p-TBK1/TBK1 ratio in the hippocampus ( P<0.05). Compared with the Non-Tg/3×Tg-AD+eHSD+H-151 group, the C/EBPβTg/3×Tg-AD+eHSD+H-151 group had significantly increased area under the latency curve, significantly decreased proportion of time spending in the targeted quadrant, and significantly increased p-tau and tau oligomers expressions, Aβ 40 and Aβ 42 concentration in the hippocampus ( P<0.05). Conclusion:The eHSD aggravates cognitive impairment in 3×Tg-AD mice through activating cGAS-STING-C/EBPβ pathway.

Objective:Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions.Methods:Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from the Cancer Hospital of the Chinese Academy of Medical Sciences, Tianjin Central Hospital of Gynecology Obstetrics, Xinmi Maternal and Child Health Hospital of Henan Province, West China Second Affiliated Hospital of Sichuan University, and Heping Hospital Affiliated to Changzhi Medical College collected during April 2014 and March 2015. The hypermethylated gene fragments related to cervical cancer were selected by high-density, high-association, and hypermethylated gene fragment screening and the LASSO regression algorithm. Taking cervical intraepithelial neoplasia grade 2 (CIN2) or more severe lesions as the research outcome, machine learning predictive models based on the random forest (RF), naive Bayes (NB), and support vector machine (SVM) algorithm, respectively, were constructed. A total of 144 outpatient specimens were used as the training set and 80 cervical exfoliated cell specimens from women participating in the cervical cancer screening program were used as the test set to verify the predictive models. Using histological diagnosis results as the gold standard, the detection efficacy for CIN2 or more severe lesions of the three machine learning predictive models were compared with that of the human papilloma virus (HPV) detection and cytological diagnosis.Results:In the training set of 144 cases, there were 34 cases of HPV positivity, with a positive rate of 23.61%. Cytologically, there were 37 cases diagnosed as no intraepithelial lesion or malignancy (NILM), and 107 cases diagnosed as atypical squamous cells of undetermined significance (ASC-US) or above. Histologically, there were 28 cases without cervical intraepithelial neoplasia or benign cervical lesions, 31 cases of CIN1, 18 cases of CIN2, 31 cases of CIN3, and 36 cases of squamous cell carcinoma. Seven hypermethylated gene fragments were selected from 45 genes, and three machine learning prediction models based on the RF, NB, and SVM algorithm, respectively, were constructed. In the validation set of 80 cases, there were 28 cases of HPV positivity, with a positive rate of 35.00%. Cytologically, there were 65 cases diagnosed as NILM and 15 cases as ASC-US or above. Histologically, there were 39 cases without cervical intraepithelial neoplasia or benign cervical lesions, 10 cases of CIN1, 10 cases of CIN2, 11 cases of CIN3, and 10 cases of squamous cell carcinoma. In the validation set, the area under the curve (AUC) values of the RF model, NB model, SVM model, HPV detection, and cytological diagnosis of CIN2 or above were 0.90, 0.88, 0.82, 0.68, and 0.45, respectively. The DeLong test showed that there was no statistically significant difference in the AUC values between the RF, NB, and SVM models (all P＞0.05), and the AUC values of the RF and NB models were higher than that of HPV detection (both P＜0.01), and the AUC values of the RF, NB, and SVM models were higher than that of cytological diagnosis (all P＜0.01). Compared with the NB model, the sensitivity of the RF model was similar (80.65% vs. 77.42%), but the specificity of the NB model was much higher than that of the RF model (93.88% vs. 73.47%). Conclusion:Among the machine learning prediction models for cervical cancer and precancerous lesions constructed based on human DNA methylation, the NB model has good predictive performance for CIN2 and above lesions, and may be used for screening of cervical cancer and precancerous lesions.

Objective:To observe the effect of robot-assisted gait training (RAGT) supplemented with intermittent theta burst stimulation (iTBS) of the cerebellum in restoring lower limb function after anterior cruciate ligament reconstruction (ACLR).Methods:Eighty ACLR patients were randomly divided into a control group, a magnetic stimulation group, a robot group and a combined group, each with 20 members. The robot and magnetic stimulation groups underwent RAGT and cerebellar iTBS before conventional training, while the combined group received iTBS followed by RAGT and then conventional training. The treatments were administered once a day, three days per week for four weeks. Before and after the intervention, the peak torque ratio of the knee flexors and extensors (H/Q), peak torque of the knee extensors (PT), and knee repositioning angle difference were measured. Knee function and balance (using the Berg Balance Scale (BBS)) were also assessed.Results:The combined group demonstrated significantly better quadriceps PT and H/Q% than the other 3 groups. Knee repositioning angle difference improved significantly in all of the groups after the treatment, with the combined group showing the smallest difference (5.00±1.21)°, significantly better than the other three groups. Lysholm and BBS scores had also improved significantly in all of the groups, with the combined group′s improvements again significantly better than those of the other groups.Conclusion:Intermittent theta burst stimulation of the cerebellum combined with robot-assisted gait training can significantly improve knee function and balance after ACLR.

Transfer-RNA derived small RNA(tsRNA),a re-cently discovered class of non-coding RNA,is produced by ma-ture tRNA or tRNA precursor through the mediation of specific endonucleases.By regulating gene expression at the transcrip-tional and post transcriptional levels and acting as an epigenetic regulator,tsRNA plays an important role in the physiological and pathological processes of many organisms.Therefore,it has gradually become a research hotspot in biomedicine and attracted widespread attention.Moreover,there is increasing evidence that tsRNA is involved in the occurrence and development of many neuropsychiatric diseases through participating in stress re-sponse,cell proliferation and apoptosis,neural development,synaptic plasticity,neuroinflammation and immune regulation,epigenetic regulation,RNA processing,and protein translation regulation.This article mainly discusses the generation,classifi-cation and biological functions of tsRNA,and elaborates on the role and possible mechanisms of tsRNA in neurodevelopment and neuropsychiatric disorders,thereby further revealing the poten-tial of tsRNA as a reliable biomarker and therapeutic target for neuropsychiatric disorders.