Five compounds were isolated and purified from the water extract of Elaeagnus oxycarpa Schlechtend leaf by multi-dimensional reversed-phase preparative liquid chromatographic system based on the separation and enrichment model. Their structures were identified by spectral analysis such as NMR, MS, UV, IR and by comparison with literature information as 2,4(1H,3H)-pyrimidinedione (1), elaeagnussugarester B (2), elaeagnussugarester A (3), elaeagnussugarester C (4), gallic acid (5). Compounds 2-4 are new compounds, compound 1 was isolated from Elaeagnus oxycarpa Schlechtend for the first time. The antioxidant and anti-tyrosinase activities of these compounds were evaluated by using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical method, the 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) free radical method, the potassium ferricyanide reduction method and the colorimetric method with L-tyrosine as substrate. The results showed that compounds 2-5 have good antioxidant activities and inhibitory effect on tyrosinase. Compound 4 exhibited the most strong antioxidant activities, with IC₅₀ = 3.59 ± 0.06 μmol·L^-1 for DPPH free radical scavenging ability, IC₅₀ = 10.04 ± 0.20 μmol·L^-1 for ABTS free radical scavenging ability, and total reduction capacity of compound 4 was better than vitamin C respectively. Compound 3 possessed better inhibitory effect on tyrosinase with IC₅₀ = 0.25 ± 0.06 mmol·L^-1.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Abstract The harm of head injury in skateboarding is more serious. The common injury cause is fall, collision, high speed impact. The primary types of injury include skull fracture, subdural hemorrhage, brain laceration contusion and concussion. Older children and adolescents, males, longboard, inappropriate sports venue are important risk factors for severe traumatic brain injury. Designing special skateboard parks and wearing protective equipment (helmets) can effectively reduce the incidence and severity of head injuries. The occurrence of injury can be reduced by adopting both legislation and education measures.

Objective To study the bioequivalence of test and reference olmesartan tablet in Chinese healthy subjects after single dose under fasting and fed conditions.Methods A single-center,random,open,single-dose,two-preparations,double-period,crossover study was adopted.A total of 48 healthy adult male and female subjects(24 cases of fasting test and 24 cases of fed test)were included in the random crossover administration.Single oral dose 20 mg of test and reference were taken under fasting and postprandial conditions,respectively.Plasma concentration of olmesartan in plasma were determined by liquid chromatography tandem mass spectrometry.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin 8.0 software.Results The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the fasting group were as follows:Cmax were(653.06±133.53)and(617.37±151.16)ng·mL-1,AUC0-t were(4 201.18±1 035.21)and(4 087.38±889.99)ng·mL-1·h,AUC0-∞ were(4 254.30±1 058.90)and(4 135.69±905.29)ng·mL-1·h.The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the postprandial group were as follows:Cmax were(574.78±177.05)and(579.98±107.74)ng·mL-1,AUC0-t were(3 288.37±866.06)and(3 181.51±801.06)ng·mL-1·h,AUC0-∞ were(3 326.11±874.26)and(3 242.01±823.09)ng·mL-1·h.Under fasting and postprandial conditions,the 90％confidence intervals of the main pharmacokinetic parameters of the test and reference preparations are both 80.00％-125.00％.Conclusion Under fasting and postprandial conditions,a single oral dose of test and reference preparations olmesartan tablets in Chinese healthy adult volunteers showed bioequivalence.

Objective To establish an ultra high performance liquid chromatography-tandem mass spectrometry method for the determination of lacidipine in plasma of beagle dogs was established.Methods It was pretreated by protein precipitation method and the internal standard was nimodipine.Chromatographic column:ACQUITYUPLC? BEH C8(2.1 mm x50.0 mm,1.7 μm),mobile phase:100％water containing 5 mmol·L-1 ammonium acetate-100％acetonitrile,flow rate:0.7 mL·min-1,column temperature:40 ℃,automatic injector temperature:4 ℃,injection volume:20 μL.Electrospray ionization source,positive ion mode,multi-reaction monitoring.The specificity,residual effect,standard curve and quantitative lower limit,precision and recovery,matrix effect and stability of the method were investigated.Results Lacidipine has a good linear relationship in the range of 0.10-50.0 ng·mL-1,r=0.996 6,the lower limit of quantification was 0.10 ng·mL-1.The specificity was good.The intra-and inter-relative standard deviation was less than 12％.The extraction recovery was higher than 80％,and the stability was good.Conclusion The method has the advantages of high sensitivity,simple operation and short analysis time,and was suitable for the pharmacokinetic study of lacidipine in Beagle dog plasma.

To investigate the expression and clinical significance of GATA-3 and H3K27me3 in Tibetan patients with bladder urothelial carcinoma (BUC).

Objective To investigate the disease spectrum and pathogenic genes of inherited metabolic disorder(IMD)among neonates in Gansu Province of China.Methods A retrospective analysis was conducted on the tandem mass spectrometry data of 286 682 neonates who received IMD screening in Gansu Provincial Maternal and Child Health Hospital from January 2018 to December 2021.A genetic analysis was conducted on the neonates with positive results in tandem mass spectrometry during primary screening and reexamination.Results A total of 23 types of IMD caused by 28 pathogenic genes were found in the 286 682 neonates,and the overall prevalence rate of IMD was 0.63‰(1/1 593),among which phenylketonuria showed the highest prevalence rate of 0.32‰(1/3 083),followed by methylmalonic acidemia(0.11‰,1/8 959)and tetrahydrobiopterin deficiency(0.06‰,1/15 927).In this study,166 variants were identified in the 28 pathogenic genes,with 13 novel variants found in 9 genes.According to American College of Medical Genetics and Genomics guidelines,5 novel variants were classified as pathogenic variants,7 were classified as likely pathogenic variants,and 1 was classified as the variant of uncertain significance.Conclusions This study enriches the database of pathogenic gene variants for IMD and provides basic data for establishing an accurate screening and diagnosis system for IMD in this region.

Objective To develop a GIS-based 3D playback system for the flight human-plane data to realize the fusion of pilots'airborne flight data and physiological data.Methods The 3D playback system was developed with the Browser/Server(B/S)architecture,micro-server model,Java language and Spring Cloud technology framework,which was composed of three functional modules for flight process reproduction,physiological situational awareness and critical event calibration analysis.Results The system developed achieved time synchronization and data fusion of airborne flight data and physiological data with a time synchronization frequency of 1 Hz and a refresh rate of not less than 120 frames/s.Conclusion The system developed with high safety,stability,reliability and accuracy facilitates pilot in-flight physiological monitoring and fusion and simultaneous display of airborne flight data and physiological data,which can be used as an important platform for decision-making support in flight training.[Chinese Medical Equipment Journal,2024,45(10):14-19]

Objective To design a hyperbaric oxygen chamber ambulance to meet the requirements for on-site hyperbaric oxygen treatment and transport of casualties.Methods A hyperbaric oxygen chamber ambulance was formed based on a YJ2080 wheeled armored vehicle,which had the components of a chamber,a gas source,an oxygen source,a control system and a power source.The chamber had a 3-layer composite structure,with a high-strength metal frame in the outer layer,a capsule made of polyurethane material bound with nylon pressure-resistant tape in the inner layer and a layer of thermal insulation material filled between the chamber and the vehicle;the gas source was composed of the oil-free air compressor,gas cylinder and pressure reducer;the oxygen source was made up of the 20 L oxygen generator,oxygen booster pump and 40 L oxygen cylinder;the control system involved in an EX2N-100HA series touch screen programmable logic controller(PLC)all-in-one(AIO);an ACD-15.0DR/48-H generator system was used as the power source.Results The hyperbaric oxygen chamber ambulance could stably control the chamber pressure when the therapeutic pressure was set as 1.3,1.6 and 1.8 ATA(1 ATA=0.1 MPa),the volume fraction of oxygen in the chamber could be limited within the required range under the low oxygen volume fraction mode and high oxygen volume fraction mode,and the emergency decompression time could be restrained within 60 s.Conclusion The hyperbaric oxygen chamber ambulance behaves well in maneuverability,and can be used for on-site hyperbaric oxygen treatment and transport of casualties.[Chinese Medical Equipment Journal,2024,45(10):25-30]

The composition and working principle of TiRobot surgery robot were introduced.Four cases of uncontrolled motion faults of the robot in image alignment of the main control trolley,precision of the navigation and positioning instruments,positional offset of the robotic arm and initialization of the optical tracking system were explored in terms of phenomenon,cause and treatment.References were provided for medical engineers to treat similar faults.[Chinese Medical Equipment Journal,2024,45(11):117-120]