ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

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 To investigate the correlation between peripheral blood CD14+CD16+monocytes and IgG N-glycosyl levels and disease activity in patients with systemic lupus erythematosus(SLE).Methods A total of 109 SLE patients admitted to Xingtai Cental Hospital from August 2021 to November 2024 were retrospectively selected as the study objects.According to SLE disease activity index(SLE-DAI),the patients were divided into active group(n=52)and stable group(n=57).In addition,56 patients who underwent physical examination during the same period were selected as the control group.Clinical data of patients were collected,CD14+CD16+mononuclear cells were detected by flow cytometry(FCM),and IgG N-glycosyl levels were detected by hydrophilic interaction chromatography-mass spectrometry.Logistic regression analysis was performed to analyze the influencing factors of SLE-DAI,and multicollinearity test[variance inflation factor(VIF)]was performed for independent variables.The prediction model of disease activity was constructed.The effectiveness of the predictive model was evaluated by describing the recviver operator characteristic(ROC)curve and calculating the area under the curve(AUC)value.Hosmer-Lemeshow goodness-of-fit test predicted the calibration degree of the model.Results The levels of WBC,Hb,PLT,ALB,complement C3 and complement C4 in control group were higher than those in SLE group(t=8.917～22.171),and the levels of CRP were lower than those in SLE group(t=-17.359),with differences were statistical significance(all P<0.05).The CRP level and the proportion of CD14+CD16+mononuclear cells in the active group were higher than those in the stable group,and the differences were statistically significant(t=5.449,11.112,all P<0.05).The IgG glycosylation characteristics of galactosylation,sialylation and N-acetylglucosamine modification were lower than those in the stable group,and the differences were statistical significance(Z=-2.432～-0.158,all P<0.05).Spearman correlation analysis showed that the proportion of CD14+CD16+monocytes was significantly negatively correlated with IgG galactosylation,sialylation level and bisection N-acetylglucosamine modification(r=-0.656,-0.531,-0.608,all P<0.01).CD14+CD16+monocyte ratio was positively correlated with SLE-DIA(r=0.581,all P<0.01).IgG galactosylation,sialylation levels and bisection N-acetylglucosamine modification were negatively correlated with SLE-DIA(r=-0.645,-0.609,-0.503,all P<0.01).Logistic regression analysis showed that CRP>8.21mg/L,CD14+CD16+≥16.17%,sialylation<22.05%and isotropic N-acetylglucosamine modification<16.53%were independent risk factors for disease activity in SLE patients(Wald χ2=4.471～12.811,all P<0.05).The VIF values of the above independent variables were all less than 10.By establishing the Logistic regression prediction model and drawing the ROC curve,the AUC value for diagnosing SLE disease activity was 0.821(95%CI:0.733～0.905),the sensitivity,specificity and the Yodon index were 85.37%,75.67%,0.677,respectively.and the P values of Hosmer-Lemeshow goodness-of-fit test models were 0.568,respectively.Conclusion The proportion of CD14+CD16+monocytes in peripheral blood of SLE patients increase significantly,and the level of IgG glycosylation characteristics decrease,both of which are correlated with SLE-DIA.The predictive model constructed based on the two had a good ability to distinguish SLE-DIA from inactive state,with high sensitivity and moderate specificity conducive to early clinical recognition,and the model fitting effect is good.SLE-DIA can be evaluated more accurately.

Objective To establish a reversed-phase HPLC method for determining three stereoisomers in baloxavir marboxil and provide a basis for the quality specification of baloxavir marboxil.Methods The chromatographic column was CHIRALPAK IC-3(4.6 mm × 150 mm,3 μm),The mobile phase was acetonitrile-0.1％formic acid aqueous solution-isopropanol(35:50:15).The column temperature was 40 ℃.The flow rate was 0.5 mL·min-1.The injection volume was 10 μL.The detection wavelength was 259 nm.Result The isomer peaks were completely separated from the principal component peak.The detection limits for stereoisomers 1,2 and 3 were 0.024 7,0.038 7,0.038 1 μg·mL-1 respectively.The quantitation limits for stereoisomers 1,2 and 3 were 0.049 4,0.077 3,0.076 1 μg·mL-1 respectively.There were good linear relationships between the concentrations and peak area within the ranges of the study,and the linearity concentration ranges of stereoisomers 1,2 and 3 were 0.049 5-0.989 0 μg·mL-1,0.051 6-1.031 0 μg·mL-1,0.050 8-1.015 0 μg·mL-1 respectively.The linear correlation coefficients were 0.999 4.The recovery was 92.28％-103.90％.The sample solution was stable in 48 h at room temperature.Conclusion The method is accurate and reliable for determining stereoisomers in baloxavir marboxil,and provide a guideline of quality standards of baloxavir marboxil and safety evalution.

Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4％vs 39.6％,P＜0.05;62.5％vs 41.5％,P＜0.05;64.6％vs 43.4％,P＜0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To compare the serological and pathological characteristics of 3 nonalcoholic steatohepatitis(NASH)models:high-fat diet(HFD)with carbon tetrachloride(CCl4)injection,methionine and choline deficient diet(MCD),and Aymlin liver NASH(AMLN)diet-induced NASH models.Methods 3 NASH models were established by feeding mice an HFD with CCl4 injection for 10 weeks,MCD for 8 weeks and NASH for 26 weeks.After feeding,serum alanine aminotransferase(ALT),aspartate aminotransferase(AST),glucose(GLU),liver triglyceride(TG),total cholesterol(TC),and malondialdehyde(MDA)levels and superoxide dismutase(SOD)activity were measured.Insulin levels were measured by enzyme-linked immunosorbent assay(ELISA)and the homeostasis model assessment of insulin resistant(HOMA-IR)index was calculated.Hematoxylin-eosin(HE),Sirius red,and oil red staining were used to indicate pathological changes to the liver.The NAS score was used to grade the pathology.Results Compared to each normal control(NC)group mice,all mice in the 3 model groups had an obvious increase in serum transaminase and liver TG,TC,MDA levels and SOD activity.The levels of serum FINS,GLU and the HOMA-IR index were significantly increased in the AMLN and CCl4+HFD model groups but decreased in the MCD model group.According to the HE,oil red staining and NAS score,mice in all 3 groups had NASH phenotypic changes.Liver collagen deposition was most obvious in mice in theCCl4+HFD model group.Liver lipid droplets were most abundant in the AMLN model group.Conclusions All the above 3 animal models can stably simulate the serological and pathological changes of NASH in human.The AMLN model can simulate the progress and mechanism of the disease,as well as systemic metabolic disorders such as insulin resistance and oxidative stress.However,it is time-consuming and the fibrosis progression rate is slow.The MCD diet can simulate the serological and pathological features of NASH in 8 weeks,but no obesity or insulin resistance occurred.The CCl4 combined with HFD model can induce NASH model in 10 weeks,which can simulate its serological and pathological changes,and the liver has obvious fibrous deposition and oxidative stress damage.

Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4％vs 39.6％,P＜0.05;62.5％vs 41.5％,P＜0.05;64.6％vs 43.4％,P＜0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.

Objective To investigate the clinical efficacy and safety of cold snare polypectomy(CSP)and the combination of endoscopic mucosal resection(EMR)and argon-plasma coagulation(APC)in treating colon polyps.Methods From March 2022 to June 2023,80 patients with colon polyps were randomly grouped into the combined surgery group(treated with EMR+APC,40 cases)and the CSP group(treated with CSP,40 cases).Two groups were compared in terms of perioperative indicators,clinical efficacy,pain level,inflammatory cytokine levels,and safety.Results The polyp resection time and total operation time in the CSP group were significantly shorter than those in the combined operation group,and the differences were statistically significant(P＜0.05).The visual analogue scale(VAS)score of the CSP group 24 h after surgery was significantly lower than that of the combined surgery group,and the difference was statistically significant(P＜0.05).The levels of interleukin-6(IL-6)and interleukin-8(IL-8)in both groups of patients 1 day after the operation were significantly higher than those before the operation,and the levels in the combined operation group were significantly higher than those in the CSP group,the differences were statistically significant(P＜0.05).There were no statistically significant differences in intraoperative blood loss,hospital stay,clinical efficacy,and VAS score at 72 h after surgery between the two groups(P＞0.05).The incidence of adverse reactions was 15.00％in the combined surgery group and 5.00％in the CSP group,with no statistically significant difference(P＞0.05).Conclusion Both combination of EMR and APC scheme and CSP scheme can effectively improve the symptoms of colon polyps patients,enhance clinical efficacy,and have lower incidence of adverse reactions,with good treatment safety.However,CSP can accelerate polyp resection speed,shorten surgical time,and alleviate early postoperative pain and inflammatory cytokine levels in patients compared to combination of EMR and APC.