Objective To enhance the mechanical properties of trichiral honeycomb sandwich structures and satisfy the design criteria for vertebral implant structures.Methods A chiral-like honeycomb sandwich structure with an auxiliary support structure was constructed for optimal design.The finite element method was used to study the influence of the auxiliary support structure on the chiral-like honeycomb sandwich structure and the relationship between the support position and mechanical property parameters.Furthermore,the influence of the deformation mechanism of different structures on mechanical properties was discussed.Results All chiral-like honeycomb sandwich structures exhibited enhanced mechanical properties in comparison to trichiral honeycomb sandwich structures.The mechanical properties of the chiral-like dCW honeycomb sandwich structure with the auxiliary support structure positioned perpendicular to the ligament were optimal,and this position represented the optimal support position.When the volume was used as a control variable,the compressive stiffness,stiffness-to-mass ratio,and transverse strain of the chiral-like honeycomb sandwich structure in the x1 direction were significantly correlated with the change of the support position,and all of them were positively correlated.Conclusions As a novel chiral-like honeycomb structure,it provides a biomechanical basis for the optimal design and clinical application of honeycomb sandwich structures as vertebral implant structures.

Objective To enhance the mechanical properties of trichiral honeycomb sandwich structures and satisfy the design criteria for vertebral implant structures.Methods A chiral-like honeycomb sandwich structure with an auxiliary support structure was constructed for optimal design.The finite element method was used to study the influence of the auxiliary support structure on the chiral-like honeycomb sandwich structure and the relationship between the support position and mechanical property parameters.Furthermore,the influence of the deformation mechanism of different structures on mechanical properties was discussed.Results All chiral-like honeycomb sandwich structures exhibited enhanced mechanical properties in comparison to trichiral honeycomb sandwich structures.The mechanical properties of the chiral-like dCW honeycomb sandwich structure with the auxiliary support structure positioned perpendicular to the ligament were optimal,and this position represented the optimal support position.When the volume was used as a control variable,the compressive stiffness,stiffness-to-mass ratio,and transverse strain of the chiral-like honeycomb sandwich structure in the x1 direction were significantly correlated with the change of the support position,and all of them were positively correlated.Conclusions As a novel chiral-like honeycomb structure,it provides a biomechanical basis for the optimal design and clinical application of honeycomb sandwich structures as vertebral implant structures.

Objective:To analyze the effects of shift work on the renal function of oil workers and investigate whether there is a measured response relationship between shift work and renal dysfunction.Methods:In this study, oil workers who participated in physical examinations at the North China Oilfield Downhole Hospital were selected as the study subjects, and the physical examinations as well as questionnaires of the study subjects in 2017 and 2018 were collected as the baseline data, which included blood biochemical indexes, socio-demographic characteristics, history of life behaviors, occupational exposures, and occupational histories. Three follow-up surveys were subsequently conducted in April 2019, April 2020, and January 2021. The presence of renal dysfunction in the study population was determined based on the glomerular filtration rate tested at the medical examination hospital. The exposure of the study subjects to shift work was assessed using the weighted shift index (WSI), the relationship between different levels of shift work and renal dysfunction was analyzed using Cox regression, and the measure of WSI and renal dysfunction was explored by restricted cubic spline (RCS). response relationship.Results:A total of 2292 study participants were included in this study, and the prevalence density of renal dysfunction was 87.44 k/year, of which the prevalence of renal dysfunction in females (30.31%), those with per capita monthly income <2, 000 yuan (27.00%), those who consume alcohol (27.10%), those who are hypertensive (23.05%), those who are exposed to high temperatures (27.37%), those who are exposed to organic solvents (30.42%), and those who are engaged in shift work (25.87%) were to be found had a higher prevalence of renal dysfunction ( P<0.05). After correcting for age, sex, and other risk factors, there was a nonlinear association between intensity of shift work and renal dysfunction, with a hazard ratio ( HR) of 1.29 (95% CI: 0.98-1.59) for the development of renal dysfunction in petroleum workers for shift work performed at higher intensities, and moderate intensity of exposure to shift work reduced the risk of renal dysfunction in petroleum workers ( HR=0.54 with a 95% CI: 0.39-0.75, P<0.001) . Conclusion:Prolonged shift work increases the risk of renal dysfunction in oil workers, and the occurrence of renal dysfunction in oil workers is influenced by multiple factors.

Objective:To analyze the effects of shift work on the renal function of oil workers and investigate whether there is a measured response relationship between shift work and renal dysfunction.Methods:In this study, oil workers who participated in physical examinations at the North China Oilfield Downhole Hospital were selected as the study subjects, and the physical examinations as well as questionnaires of the study subjects in 2017 and 2018 were collected as the baseline data, which included blood biochemical indexes, socio-demographic characteristics, history of life behaviors, occupational exposures, and occupational histories. Three follow-up surveys were subsequently conducted in April 2019, April 2020, and January 2021. The presence of renal dysfunction in the study population was determined based on the glomerular filtration rate tested at the medical examination hospital. The exposure of the study subjects to shift work was assessed using the weighted shift index (WSI), the relationship between different levels of shift work and renal dysfunction was analyzed using Cox regression, and the measure of WSI and renal dysfunction was explored by restricted cubic spline (RCS). response relationship.Results:A total of 2292 study participants were included in this study, and the prevalence density of renal dysfunction was 87.44 k/year, of which the prevalence of renal dysfunction in females (30.31%), those with per capita monthly income <2, 000 yuan (27.00%), those who consume alcohol (27.10%), those who are hypertensive (23.05%), those who are exposed to high temperatures (27.37%), those who are exposed to organic solvents (30.42%), and those who are engaged in shift work (25.87%) were to be found had a higher prevalence of renal dysfunction ( P<0.05). After correcting for age, sex, and other risk factors, there was a nonlinear association between intensity of shift work and renal dysfunction, with a hazard ratio ( HR) of 1.29 (95% CI: 0.98-1.59) for the development of renal dysfunction in petroleum workers for shift work performed at higher intensities, and moderate intensity of exposure to shift work reduced the risk of renal dysfunction in petroleum workers ( HR=0.54 with a 95% CI: 0.39-0.75, P<0.001) . Conclusion:Prolonged shift work increases the risk of renal dysfunction in oil workers, and the occurrence of renal dysfunction in oil workers is influenced by multiple factors.

Objective:To compare the differences in clinical characteristics among the patients at clinical high risk for bipolar disorder(CHR-BD),the patients with bipolar disorder(BD),and the healthy controls(HC)at low risk,and to provide the basis for the diognasis and treatment of CHR-BD.Methods:For the first time,the BD risk criteria and prospective structured assessment tools were jointly used in outpatients aged 16-30 years,and 43 CHR-BD patients were included to ensure the accuracy of the assessment.Meanwhile,33 BD patients and 32 HC subjects were also enrolled.The clinical symptoms,neurocognitive function,and global functional levels of the subjects in the three groups were evaluated using observer-rated and self-rated tools.The CHR-BD and BD groups were combined,and Logistic regression analysis was used to identify the independent influencing factors related to diagnostic status;Pearson or Spearman correlation analysis was used to analyze the correlations between the global functional levels and the symptoms or neurocognitive characteristics of the patients in CHR-BD and BD groups.Results:There were statistically significant differences in the scores of symptom and global functional level scales among HC,CHR-BD,and BD groups(P<0.05).Compared with HC group,the scores of mood symptoms(anxiety,depression,and mania/hypomania),psychotic symptoms,total affective temperament questionnaire scores,and some dimensions(cyclothymic,depressive,irritable,and anxious temperaments)in CHR-BD and BD groups were significantly increased(P<0.001),while the global functional levels were significantly decreased(P<0.001).Compared with BD group,the lowest global functional level score in the past year in CHR-BD group was significantly increased(P=0.022),while the current global functional level score was significantly decreased(P=0.005).No significant differences were observed in neurocognitive function scores among the three groups(P>0.05).The lowest global functional level score in the past year was an independent influencing factor for BD diagnosis[odds ratio(OR)=0.952,95%confidence interval(CI):0.917-0.988,P=0.010].In both CHR-BD and BD patients,the current global functional levels were negatively correlated with depressive(r=-0.417,P=0.005;r=-0.617,P<0.001)and anxiety symptoms(r=-0.360,P=0.018;r=-0.506,P=0.003).In BD patients,the current global functional level was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.360,P=0.039),psychotic symptoms(r=-0.502,P=0.003),and affective temperament scores(r=-0.479,P=0.005),while the lowest global functional level in the past year was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.391,P=0.024).Conclusion:CHR-BD patients share similar mood symptom characteristics with BD patients,and their global functional levels are negatively correlated with depressive and anxiety symptoms.BD patients exhibit worse lowest global functional levels in the past year,and their global functional levels are negatively correlated with manic/hypomanic symptoms.

Objective:To develop and evaluate a nomogram prediction model for the 3-month mortality risk of patients with sepsis-associated acute kidney injury (S-AKI).Methods:Based on the American Medical Information Mart for Intensive Care-Ⅳ (MIMIC-Ⅳ), clinical data of S-AKI patients from 2008 to 2021 were collected.Initially, 58 relevant predictive factors were included, with all-cause mortality within 3 months as the outcome event. The data were divided into training and testing sets at a 7∶3 ratio. In the training set, univariate Logistic regression analysis was used for preliminary variable screening. Multicollinearity analysis, Lasso regression, and random forest algorithm were employed for variable selection, combined with the clinical application value of variables, to establish a multivariable Logistic regression model, visualized using a nomogram. In the testing set, the predictive value of the model was evaluated through internal validation. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the curve (AUC) was calculated to evaluate the discrimination of nomogram model and Oxford acute severity of illness score (OASIS), sequential organ failure assessment (SOFA), and systemic inflammatory response syndrome score (SIRS). The calibration curve was used to evaluate the calibration, and decision curve analysis (DCA) was performed to assess the net benefit at different probability thresholds.Results:Based on the survival status at 3 months after diagnosis, patients were divided into 7?768 (68.54%) survivors and 3?566 (31.46%) death. In the training set, after multiple screenings, 7 variables were finally included in the nomogram model: Logistic organ dysfunction system (LODS), Charlson comorbidity index, urine output, international normalized ratio (INR), respiratory support mode, blood urea nitrogen, and age. Internal validation in the testing set showed that the AUC of nomogram model was 0.81 [95% confidence interval (95% CI) was 0.80-0.82], higher than the OASIS score's 0.70 (95% CI was 0.69-0.71) and significantly higher than the SOFA score's 0.57 (95% CI was 0.56-0.58) and SIRS score's 0.56 (95% CI was 0.55-0.57), indicating good discrimination. The calibration curve demonstrated that the nomogram model's calibration was better than the OASIS, SOFA, and SIRS scores. The DCA curve suggested that the nomogram model's clinical net benefit was better than the OASIS, SOFA, and SIRS scores at different probability thresholds. Conclusions:A nomogram prediction model for the 3-month mortality risk of S-AKI patients, based on clinical big data from MIMIC-Ⅳ and including seven variables, demonstrates good discriminative ability and calibration, providing an effective new tool for assessing the prognosis of S-AKI patients.

Objective:To explore the feasibility and conformity of cone contrast test (CCT) and pseudoisochromatic plate test applied in medical selection of pilot.Methods:One hundred and sixteen male students were selected from pilot candidates by stratified sampling method. All students were tested the pseudoisochromatic plate test and the red, green, and blue cone contrast sensitivity and were divided into normal group, color weakness group and color blindness group according to the results of the pseudoisochromatic plate test. The students with a CCT score below 75 were judged as color vision anomalopia. The coincidence rates of the 2 detection results were compared and analyzed.Results:There were 76 students in normal group, 9 students in color weakness group and 31 students in color blindness group. Students with color vision abnormalities were mainly characterized by red-green color blindness and green color weakness, manifested by a significant decrease in CCT scores of red and green ( P=0.012 or <0.001), but there was no significant difference in the blue CCT scores among 3 groups (both P>0.05). The CCT scores of normal students were not less than 75 points, which meant that the compliance rate was 100%. The proportion of students in the color blindness group below 75 points was 29/31 (with a conformity rate of 93.5%), while the proportion in the color weakness group was 2/9. Conclusions:The conclusions of CCT and pseudoisochromatic plate test for identifying color blindness and normal students are basically consistent, but the conformity rate for identifying color weakness assessment by pseudoisochromatic plate test is relatively low. It is suggested that CCT would be the complement for identifying color weakness and marginal color vision abnormalities in the medical selection for pilot.

Objective:To explore the feasibility and conformity of cone contrast test (CCT) and pseudoisochromatic plate test applied in medical selection of pilot.Methods:One hundred and sixteen male students were selected from pilot candidates by stratified sampling method. All students were tested the pseudoisochromatic plate test and the red, green, and blue cone contrast sensitivity and were divided into normal group, color weakness group and color blindness group according to the results of the pseudoisochromatic plate test. The students with a CCT score below 75 were judged as color vision anomalopia. The coincidence rates of the 2 detection results were compared and analyzed.Results:There were 76 students in normal group, 9 students in color weakness group and 31 students in color blindness group. Students with color vision abnormalities were mainly characterized by red-green color blindness and green color weakness, manifested by a significant decrease in CCT scores of red and green ( P=0.012 or <0.001), but there was no significant difference in the blue CCT scores among 3 groups (both P>0.05). The CCT scores of normal students were not less than 75 points, which meant that the compliance rate was 100%. The proportion of students in the color blindness group below 75 points was 29/31 (with a conformity rate of 93.5%), while the proportion in the color weakness group was 2/9. Conclusions:The conclusions of CCT and pseudoisochromatic plate test for identifying color blindness and normal students are basically consistent, but the conformity rate for identifying color weakness assessment by pseudoisochromatic plate test is relatively low. It is suggested that CCT would be the complement for identifying color weakness and marginal color vision abnormalities in the medical selection for pilot.

In this study, we presented the isolation and characterization of eight novel seco-guaianolide sesquiterpenoids (1-8) and two known guaianolide derivatives (9 and 10), from the aerial part of Achillea alpina L.. Compounds 1-3 were identified as guaianolides bearing an oxygen insertion at the 2, 3 position, while compounds 4-8 belonged to a group of special 3-nor guaianolide sesquiterpenoids. The structural elucidation of 1-8, including their absolute configurations, were accomplished by a combination of spectroscopic data analysis and quantum electronic circular dichroism (ECD) calculations. To evaluate the potential antidiabetic activity of compounds 1-10, we investigated their effects on glucose consumption in palmitic acid (PA)-mediated HepG2-insulin resistance (IR) cells. Among the tested compounds, compound 7 demonstrated the most pronounced ability to reverse IR. Moreover, a mechanistic investigation revealed that compound 7 exerted its antidiabetic effect by reducing the production of the pro-inflammatory cytokine IL-1β, which was achieved through the suppression of the NLRP3 pathway.
Humans ; Hypoglycemic Agents/pharmacology* ; Circular Dichroism ; Cytokines ; Glucose ; Hep G2 Cells ; Insulin Resistance

Road traffic accidents (RTA) can cause a large number of casualties and property losses. Driving fatigue is one of the important factors leading to RTA. Electrophysiological signals, as a kind of information feedback for the nervous system to regulate body functions, can reflect drivers’ fatigue state. However, there is a lack of systematic reviews on the current research on electrophysiological signals as information input of machine learning methods for driving fatigue recognition. By investigating fatigue-related literature, the current paper summarized the neural regulation mechanism of fatigue, clarified that driving fatigue is caused by both psychological and physiological loads, recognized inducing factors related to driving fatigue, and summed up electrophysiological signals now in use of driving fatigue recognition, as well as their physiological mechanisms and related indicators. Machine learning algorithms are widely used in identifying driving fatigue. Based on existing studies that used electrophysiological signals as information input source and applied various machine learning algorithms to build driving fatigue identification models, this paper compared the effectiveness of various machine learning algorithms, and described the advantages and disadvantages of supervised machine learning. It is pointed out that suitable classification algorithms should be selected according to sample conditions and model eigenvalues when applied to driving fatigue recognition. In addition, a variety of electrophysiological signals as information sources can help improve the accuracy of a fatigue recognition model, but the increase of model input eigenvalues cannot. Finally, the research progress of identification methods based on electrophysiological signals provided new opportunities for identifying driving fatigue.