ObjectiveThe present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

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.

As a new generation of time-of-flight mass spectrometry,multiple-reflection time-of-flight mass spectrometry(MR-TOF-MS)has been increasingly applied in the fields such as nuclear physics,chemistry,and biology due to its ultra-high resolution and rapid analysis capabilities.However,the analytical performance of MR-TOF-MS largely depends on the ion bunch state entering the mass analyzer.In this study,a rectangular ion trap(RIT)was developed,designed and processed using printed circuit board technology,as an ion accumulating and focusing device for MR-TOF mass analyzer.Compared to traditional ion traps composed of two sets of planar electrodes,this RIT had higher voltage utilization efficiency,resulting in more efficient ion collection and focusing.The ions were cooled to a sufficiently small bunch for precise mass measurement with MR-TOF-MS mass spectrometry in only 1 ms of cooling time in the RIT,then orthogonally ejected to the MR-TOF mass spectrometer for mass analysis.Experimental results indicated that the working cycle,ion flux,and ion focusing state of the RIT fully met the requirements of the MR-TOF mass analyzer.When coupled with the MR-TOF mass analyzer,the RIT enabled MR-TOF-MS to achieve a mass resolution of 1.5×105.

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 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 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]

OBJECTIVE: To evaluate the efficacy and safety of idarubicin combined with high-dose cytarabine as a post-remission therapy for elderly patients with acute myeloid leukemia (AML). METHODS: From November 2017 to June 2021, 24 AML patients aged ≥60 years who were in complete remission for the first time were enrolled in consolidation chemotherapy with idarubicin (10 mg/m² intravenously once for day 1) combined with high-dose cytarabine (1.5 g/m² intravenously over 3 hours every 12 hours for day 1-3), and the efficacy and safety were observed. RESULTS: Among the 24 patients, there were 12 males and 12 females, the median age was 65 (60-78) years old, and the median follow-up time was 23.3 (2-42.7) months. By the end of the follow-up, 15 patients relapsed and 11 patients died. The median disease-free survival (DFS) was 9 months and there were 3 cases of 2-year DFS. The median overall survival (OS) was 16.2 months, and there were 4 cases of 2-year OS. In terms of safety, 6 patients had grade 1-2 non-hematological adverse reactions, 12 patients had grade 3-4 hematological adverse reactions, and a total of 6 patients developed infection after consolidation chemotherapy. Multivariate analysis showed that two induction cycles and high-risk cytogenetic abnormalities were the adverse factors of DFS and OS in elderly patients with AML in this study. CONCLUSION For AML patients ≥60 years old in first complete remission, idarubicin combined with high-dose cytarabine as post-remission therapy has a better safety, but compared with other regimens does not improve the prognosis of elderly patients, which needs further exploration.
Aged ; Male ; Female ; Humans ; Middle Aged ; Idarubicin/therapeutic use* ; Retrospective Studies ; Cytarabine ; Antineoplastic Combined Chemotherapy Protocols ; Leukemia, Myeloid, Acute/etiology* ; Remission Induction