This study established the HPLC fingerprints, characteristic chromatograms, and a multi-component content determination method for Bidens bipinnata and B. biternata. The chemical pattern recognition analysis was then employed to clarify the characteristic indexes of quality differences between the two original plants of Bidentis Herba, providing a reference for establishing the quality standards of Bidentis Herba. HPLC was launched on an Agilent Poroshell 120 EC-C_(18) chromatographic column(4.6 mm×250 mm, 4 μm) by gradient elution with a mobile phase of 0.1% aqueous phosphoric acid-acetonitrile at a flow rate of 0.7 mL·min~(-1), detection wavelength of 270 nm, column temperature of 25 ℃, and an injection volume of 5 μL. The similarity between the fingerprints of 18 batches of Bidentis Herba samples and the common pattern(R) ranged from 0.572 to 0.933. A total of 23 chromatographic peaks were calibrated. Through comparison with the reference substances, six components(neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, rutin, and hyperoside) were identified and subjected to quantitative analysis. The characteristic fingerprints of B. bipinnata and B. biternata were calibrated with 20 and 17 characteristic peaks, respectively. Among them, peaks 8, 9, 22, and 23 were the characteristic peaks of B. bipinnata, and peak 7 was the characteristic peak of B. biternata, which can be used to distinguish the two original plants of Bidentis Herba. The relative standard deviation of the content of the above-mentioned six components ranged from 36% to 123%. The cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) classified the 18 batches of Bidentis Herba samples into two categories. Additionally, through the analysis of variable importance in projection(VIP) under OPLS-DA, three characteristic indexes, rutin, isochlorogenic acid A, and isochlorogenic acid B, were identified. The analytical method established in this study can comprehensively evaluate the consistency of Bidentis Herba samples derived from different original plants, specifically identify the differential components between them, and effectively distinguish the two original plants of Bidentis Herba, providing a basis for the differentiation between different original plants and the quality control of Bidentis Herba.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Bidens/chemistry*

Objective To explore the damage results and structural response laws of medical cabins in ships under explosion attack.Methods Firstly,the cabin structure was equivalently regarded as a T-shaped plate frame based on the explosion load theory,then four finite element models for the medical cabins were established with the dimensions(length ×width×height)of 2.8 m×2.6 m×2.3 m,3.2 m×3.2 m×2.4 m,4.2 m×3.2 m×2.5 m and 5.4 m×4.0 m×2.6 m.Secondly,an explosion damage model was constructed using ABAQUS simulation software,and explosion damage simulation was carried out with the explosion locating at the cabin center and the outside of the bulkhead and the explosion energy of 10 kg and 100 kg trinitrotoluene(TNT)equivalent.Finally,the 10 kg and 100 kg TNT explosion damage results were ananlyzed at the cabin center and the outside of the bulkhead.Results At the cabin center,10 kg TNT explosion resulted in local deformation and limited affected area of the large-sized cabin,while 100 kg TNT explosion lead to extensive affected ranges in the functional areas and severe deformation and damage in the small-sized cabin.At the outside of the bulkhead,10 kg TNT explosion gave rise to breaches in some areas of the small-sized cabin and local deformation of the large-sized cabin,while 100 kg TNT explosion caused large breaches in all the cabins.Conclusion The explosion load induces serious deformation and damage and complicated breaches in the cabin with small size and weak structural strength.The cabin with large size and thick bulkhead and stiffener behaves well in explosion resistance,while high equivalent explosions may bring about serious damage to its local structure.[Chinese Medical Equipment Journal,2025,46(1):27-32]

OBJECTIVE: We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers. METHODS: The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories. RESULTS: FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45). CONCLUSION An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans ; Male ; Adult ; Blood Glucose/analysis* ; China ; Prospective Studies ; Occupational Exposure/adverse effects* ; Risk Factors ; Middle Aged ; Steel ; Fasting/blood* ; Metal Workers ; East Asian People

Objective:To investigate the impact of blood pressure outcomes on the risk of arteriosclerosis in non-hypertensive populations.Methods:This study was a retrospective cohort study. All data were derived from Kailuan Cohort. Non-hypertensive individuals who completed two brachial-ankle pulse wave velocity (baPWV) measurements between January 2014 and December 2019 (using the first measurement as the baseline and the second as the follow-up) were enrolled, and clinical data such as blood pressure and baPWV were collected. According to the blood pressure level at baseline and follow-up, participants were divided into new-onset hypertension group (no hypertension at baseline but diagnosed at follow-up) and non-hypertension group (no hypertension at both baseline and follow-up). Multiple linear regression and multivariate logistic regression were used to analyze the impact of new-onset hypertension on arteriosclerosis progression. Subgroup analysis further classified participants into six blood pressure transition categories: normal-maintained, normal-to-high-normal, normal-to-hypertensive, high-normal-to-normal, high-normal-maintained, and high-normal-to-hypertensive groups. Multivariate logistic regression analysis was used to assess the impact of different blood pressure outcomes on arteriosclerosis progression.Results:A total of 7 049 participants were enrolled, with the age of (40.45±9.04) years, including 3 645 males (51.71%). There were 800 cases in the new-onset hypertension group and 6 249 individuals in the non-hypertension group. During follow-up, arteriosclerosis occurred in 2 154 cases (30.56%). Multivariable linear regression analysis revealed a positive correlation between new-onset hypertension and baPWV levels. The baPWV in the new-onset hypertension group was significantly higher by 63.94 cm/s compared to the non-hypertension group ( β=63.94, P<0.01). Additionally, the risk of arteriosclerosis in the new-onset hypertension group was 2.09 times that of the non-hypertension group ( OR=2.09, 95% CI: 1.77-2.46, P<0.01). Subgroup analysis revealed significantly higher arteriosclerosis risks in normal-to-high-normal ( OR=1.65, 95% CI 1.38-1.98, P<0.01), normal-to-hypertensive ( OR=2.47, 95% CI 1.70-3.59, P<0.01), high-normal-maintained ( OR=1.50, 95% CI 1.21-1.86, P<0.01), and high-normal-to-hypertensive groups ( OR=2.86, 95% CI 2.20-3.73, P<0.01) than normal-maintained group, except for a non-significant difference in high-normal-to-normal group ( OR=0.95, 95% CI 0.74-1.20, P>0.05). Conclusion:Blood pressure outcome in non-hypertensive populations is closely related to arteriosclerosis risk. Progression to or maintenance of high-normal blood pressure or higher levels substantially increases arteriosclerosis risk, while regression from high-normal to normal blood pressure shows no significant increase in arteriosclerosis risk.

Objective To explore the damage results and structural response laws of medical cabins in ships under explosion attack.Methods Firstly,the cabin structure was equivalently regarded as a T-shaped plate frame based on the explosion load theory,then four finite element models for the medical cabins were established with the dimensions(length ×width×height)of 2.8 m×2.6 m×2.3 m,3.2 m×3.2 m×2.4 m,4.2 m×3.2 m×2.5 m and 5.4 m×4.0 m×2.6 m.Secondly,an explosion damage model was constructed using ABAQUS simulation software,and explosion damage simulation was carried out with the explosion locating at the cabin center and the outside of the bulkhead and the explosion energy of 10 kg and 100 kg trinitrotoluene(TNT)equivalent.Finally,the 10 kg and 100 kg TNT explosion damage results were ananlyzed at the cabin center and the outside of the bulkhead.Results At the cabin center,10 kg TNT explosion resulted in local deformation and limited affected area of the large-sized cabin,while 100 kg TNT explosion lead to extensive affected ranges in the functional areas and severe deformation and damage in the small-sized cabin.At the outside of the bulkhead,10 kg TNT explosion gave rise to breaches in some areas of the small-sized cabin and local deformation of the large-sized cabin,while 100 kg TNT explosion caused large breaches in all the cabins.Conclusion The explosion load induces serious deformation and damage and complicated breaches in the cabin with small size and weak structural strength.The cabin with large size and thick bulkhead and stiffener behaves well in explosion resistance,while high equivalent explosions may bring about serious damage to its local structure.[Chinese Medical Equipment Journal,2025,46(1):27-32]

Objective:To investigate the impact of blood pressure outcomes on the risk of arteriosclerosis in non-hypertensive populations.Methods:This study was a retrospective cohort study. All data were derived from Kailuan Cohort. Non-hypertensive individuals who completed two brachial-ankle pulse wave velocity (baPWV) measurements between January 2014 and December 2019 (using the first measurement as the baseline and the second as the follow-up) were enrolled, and clinical data such as blood pressure and baPWV were collected. According to the blood pressure level at baseline and follow-up, participants were divided into new-onset hypertension group (no hypertension at baseline but diagnosed at follow-up) and non-hypertension group (no hypertension at both baseline and follow-up). Multiple linear regression and multivariate logistic regression were used to analyze the impact of new-onset hypertension on arteriosclerosis progression. Subgroup analysis further classified participants into six blood pressure transition categories: normal-maintained, normal-to-high-normal, normal-to-hypertensive, high-normal-to-normal, high-normal-maintained, and high-normal-to-hypertensive groups. Multivariate logistic regression analysis was used to assess the impact of different blood pressure outcomes on arteriosclerosis progression.Results:A total of 7 049 participants were enrolled, with the age of (40.45±9.04) years, including 3 645 males (51.71%). There were 800 cases in the new-onset hypertension group and 6 249 individuals in the non-hypertension group. During follow-up, arteriosclerosis occurred in 2 154 cases (30.56%). Multivariable linear regression analysis revealed a positive correlation between new-onset hypertension and baPWV levels. The baPWV in the new-onset hypertension group was significantly higher by 63.94 cm/s compared to the non-hypertension group ( β=63.94, P<0.01). Additionally, the risk of arteriosclerosis in the new-onset hypertension group was 2.09 times that of the non-hypertension group ( OR=2.09, 95% CI: 1.77-2.46, P<0.01). Subgroup analysis revealed significantly higher arteriosclerosis risks in normal-to-high-normal ( OR=1.65, 95% CI 1.38-1.98, P<0.01), normal-to-hypertensive ( OR=2.47, 95% CI 1.70-3.59, P<0.01), high-normal-maintained ( OR=1.50, 95% CI 1.21-1.86, P<0.01), and high-normal-to-hypertensive groups ( OR=2.86, 95% CI 2.20-3.73, P<0.01) than normal-maintained group, except for a non-significant difference in high-normal-to-normal group ( OR=0.95, 95% CI 0.74-1.20, P>0.05). Conclusion:Blood pressure outcome in non-hypertensive populations is closely related to arteriosclerosis risk. Progression to or maintenance of high-normal blood pressure or higher levels substantially increases arteriosclerosis risk, while regression from high-normal to normal blood pressure shows no significant increase in arteriosclerosis risk.

Objective To evaluate the blast damage of the medical cabin in the coast guard ship based on the neural network prediction model.Methods Firstly,a cabin finite element model was established with the typical medical cabin in some coast guard ship as the subject;secondly,ABAQUS simulation software was used to construct a blast damage simulation model and perform blast damage numerical simulation;thirdly,three neural network prediction models respectively based on Levenberg-Marquardt,Bayesian regularization and conjugate gradient algorithms were formed with the sample data from the simulation results and MATLAB software;finally,visualization over the prediction results of the neural network prediction models was carried out in terms of three blast conditions at the interior,bulkhead and near field of the cabin,and the blast damage to the cabin was analyzed with reference to the simulation results.Results Near the observation points the damage prediction results by the models were similar to those by the simulation.The blasts at the interior and bulkhead both resulted in obvious damages to the cabin framework,with serious effects and large damage areas;near-field blasts did not cause direct damage to the inter-nal framework of the cabin.Conclusion The neural network prediction model forecasts the blast damage to the medical carin in the coast guard ship,and references are provided for the structural design of the cabins in the coast guard ship.[Chinese Medical Equipment Journal,2024,45(12):14-18]

Objective To evaluate the blast damage of the medical cabin in the coast guard ship based on the neural network prediction model.Methods Firstly,a cabin finite element model was established with the typical medical cabin in some coast guard ship as the subject;secondly,ABAQUS simulation software was used to construct a blast damage simulation model and perform blast damage numerical simulation;thirdly,three neural network prediction models respectively based on Levenberg-Marquardt,Bayesian regularization and conjugate gradient algorithms were formed with the sample data from the simulation results and MATLAB software;finally,visualization over the prediction results of the neural network prediction models was carried out in terms of three blast conditions at the interior,bulkhead and near field of the cabin,and the blast damage to the cabin was analyzed with reference to the simulation results.Results Near the observation points the damage prediction results by the models were similar to those by the simulation.The blasts at the interior and bulkhead both resulted in obvious damages to the cabin framework,with serious effects and large damage areas;near-field blasts did not cause direct damage to the inter-nal framework of the cabin.Conclusion The neural network prediction model forecasts the blast damage to the medical carin in the coast guard ship,and references are provided for the structural design of the cabins in the coast guard ship.[Chinese Medical Equipment Journal,2024,45(12):14-18]

This paper explored the chemical constituents of Boswellia carterii by column chromatography on silica gel, Sephadex LH-20, ODS column chromatography, and semi-preparative HPLC. The structures of the compounds were identified by physicochemical properties and spectroscopic data such as infrared radiation(IR), ultra violet(UV), mass spectrometry(MS), and nuclear magnetic resonance(NMR). Seven diterpenoids were isolated and purified from n-hexane of B. carterii. The isolates were identified as(1S,3E,7E,11R,12R)-11-hydroxy-1-isopropyl-4,8,12-trimethyl-15-oxabicyclo[10.2.1]pentadeca-3,7-dien-5-one(1),(1R,3S,4R,7E,11E)-4,8,12,15,15-pentamethyl-14-oxabicyclo[11.2.1]hexadeca-7,11-dien-4-ol(2), incensole(3),(-)-(R)-nephthenol(4), euphraticanoid F(5), dilospirane B(6), and dictyotin C(7). Among them, compounds 1 and 2 were new and their absolute configurations were determined by comparison of the calculated and experimental electronic circular dichroisms(ECDs). Compounds 6 and 7 were obtained from B. carterii for the first time.
Molecular Structure ; Boswellia/chemistry* ; Diterpenes/chemistry* ; Mass Spectrometry

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.