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.

As the only effective treatment for end-stage diseases, organ transplantation has been facing core challenges such as shortage of donor organs, technical bottlenecks, and inadequate system construction. Based on the practical experience of the organ donation and transplantation team of the First Affiliated Hospital of Xi’an Jiaotong University, this article systematically reviews the pathways for the specialization of organ donation and the disciplinary development of Organ Procurement Organization (OPO). It thoroughly analyzes the innovative achievements in kidney transplantation, including key breakthroughs in the establishment of technical standards for donor and organ evaluation, preservation and repair, the research and development of mechanical perfusion repair systems, the creation of an independent human leukocyte antigen (HLA) detection platform, and the improvement of the rejection prevention and control system. Meanwhile, combined with the latest research progress at home and abroad, this paper discusses current issues in the field of organ donation and transplantation such as the utilization of marginal donors, multidisciplinary collaboration, and ethical norms. It proposes a future direction to promote the systematic disciplinary development with "Chinese Technology, Chinese Standards, and Chinese Solutions", providing a reference for the high-quality development of organ transplantation in China.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveTo study the effect of Wulingsan on cerebral edema after intracerebral hemorrhage （ICH） in mice and explore the treatment mechanism. MethodsThe mouse model of ICH was established by injection of collagenase into the caudate nucleus. Mice were randomly assigned into the following groups： sham， ICH， intervention before modeling with low-dose and high-dose （3.69， 11.07 g·kg^-1， respectively） Wulingsan， and intervention after modeling with high-dose Wulingsan. The modified neurological severity score （mNSS） was recorded， and the small animal MRI T2 sequential scanning was performed to measure the volume of cerebral hemorrhage after the modeling of ICH in each group. The Y-maze test， open field test， and Morris water maze test were conducted to evaluate the neurological behaviors of mice in each group. Hematoxylin-eosin staining was employed to observe the pathological changes in the brain tissue. Immunohistochemistry was employed to observe the expression of aquaporin 4 （AQP4）， neuronal nuclei （NeuN）， and glial fibrillary acidic protein （GFAP） in the brain tissue. Western blot was employed to determine the protein levels of AQP4， Claudin-5， and zonula occludens-1 （ZO-1） in the hematoma area. ResultsCompared with the sham group， the ICH group showed increases in the mNSS， the cerebral hemorrhage volume， and the escape latency in the Morris water maze test （P<0.01）， decreases in the times of touching the platform and times of entering the quadrant where the platform was located in the Morris water maze test， and reductions in the spontaneous alternation rate in the Y-maze test and the ratio of distance of center travel to total travel distance in the open field test （P<0.01）. Moreover， pathological changes such as cell disarrangement， cell space enlargement， and cell swelling were observed in the ICH group. Immunohistochemistry results showed that the ICH group had higher proportions of AQP4- and GFAP-positive cells and lower proportion of NeuN-positive cells than the sham group （P<0.01）. Compared with the sham group， the ICH group showed an up-regulated protein level of AQP4 and down-regulated protein levels of Claudin-5 and ZO-1 （P<0.01）. Compared with the ICH group， the intervention with Wulingsan decreased the mNSS， the volume of cerebral hemorrhage， and the escape latency in the Morris water maze test （P<0.05， P<0.01）， while increasing the times of touching the platform and times of entering the quadrant where the platform was located in the Morris water maze test， the spontaneous alternation rate in the Y-maze test， and the ratio of distance of center travel to total travel distance in the open field test （P<0.05， P<0.01）. Furthermore， the intervention with Wulingsan alleviated the pathological changes in the brain tissue after ICH， decreased the proportion of AQP4- and GFAP-positive cells （P<0.01）， increased the proportion of NeuN-positive cells （P<0.01）， down-regulated the protein level of AQP4 （P<0.01）， and up-regulated the protein levels of Claudin-5 and ZO-1 （P<0.01）. ConclusionThe intervention with Wulingsan could reduce the neural function score and the cerebral hemorrhage volume， up-regulate the expression of Claudin-5 and ZO-1， and down-regulate the expression of AQP4 to ameliorate the neurological function defect and cerebral edema after ICH， thereby protecting the brain.

Poloxamer， as a non-ionic surfactant， exhibits a unique triblock [polyethylene oxide-poly （propylene oxide）-polyethylene oxide] structure， which endows it with broad application potential in various fields， including solid dispersion technology， nanotechnology， gel technology， biologics， gene engineering and 3D printing. As a carrier， it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology， it serves as a stabilizer etc.， enriching preparation methods. In gel technology， its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics， it improves targeting efficiency and reduces side effects. In gene engineering， it enhances delivery efficiency and expression levels. In 3D printing， it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material， poloxamer holds promising prospects in the pharmaceutical field.

BACKGROUND:Traumatic brain injury is a condition in which the normal function of the brain is disrupted by a bump or impact to the head.It is necessary to find effective treatments and objective targets that can help doctors diagnose the injury status and restore the brain function of patients. OBJECTIVE:To explore the effect of electroacupuncture combined with low-frequency transcranial ultrasound stimulation on the electroencephalographic signals of rats with traumatic brain injury. METHODS:Forty 6-week-old SPF male Sprague-Dawley rats were randomly divided into five groups:sham group,model group,electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group(electroacupuncture+low-frequency transcranial ultrasound stimulation),with eight rats in each group.Feeney weight-drop method was used to establish the animal model of traumatic brain injury.In the sham group,the bone window was only opened without impact.Interventions were started at 1 day after modeling.Electroacupuncture in the electroacupuncture group,low-frequency transcranial ultrasound stimulation in the low-frequency transcranial ultrasound stimulation group,and electroacupuncture+low-frequency transcranial ultrasound stimulation in the combined group were performed for days in total.The modified neurological severity scale score for assessing rats'neurological deficits was performed at 8 hours after modeling.The percentage of spontaneous alternation behavior in the Y-maze was measured at 7 days after modeling.Then,the electroencephalographic signals were collected and electroencephalographic data of α,β,θ,and δ waves were extracted by fast Fourier transform,and the value of oscillation amplitude and energy ratio were calculated in α,β,θ,and δ waves,as well as the Lempel-Ziv complexity and sample entropy. RESULTS AND CONCLUSION:Compared with the sham group,the modified neurological severity scale scores in the model group,electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group were significantly increased at 8 hours after modeling(P<0.05).Compared with the sham group,the value of oscillation amplitude in δ wave and the value of δ energy ratio were significantly increased in the model group at 7 days after modeling,meanwhile the percentage of spontaneous alternation behavior in Y-maze,and the value of α/β energy ratio,Lempel-Ziv complexity,and sample entropy were significantly decreased(P<0.05).Compared with the model group,the value of oscillation amplitude in α and δ waves was significantly decreased in the combined group(P<0.05),while the value of α/β energy ratio was significantly increased(P<0.05)and the value of δ energy ratio was significantly decreased(P<0.05)in the electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group.Compared with the electroacupuncture group and low-frequency transcranial ultrasound stimulation group,the value of δ energy ratio was significantly decreased in the combined group(P<0.05),while the percentage of spontaneous alternation behavior,the value of α/β energy ratio,the Lempel-Ziv complexity,and the sample entropy were significantly increased(P<0.05).To conclude,abnormal electroencephalographic signals can appear in rats with traumatic brain injury,while the electroacupuncture combined with low-frequency transcranial ultrasound stimulation can alleviate the abnormal electroencephalographic signals in rats,which suggests the electroencephalographic frequency domain value and nonlinear features can be used to assess the severity of traumatic brain injury.

ObjectiveTo study the pharmacological substances and mechanisms through which sesquiterpene ZH-13 from Aquilariae Lignum Resinatum improves neuroinflammation. MethodsBV-2 microglial cells were stimulated with lipopolysaccharide （LPS） to induce neuroinflammation. The cells were divided into the normal group， the model group， and the ZH-13 low- and high-dose treatment groups （10， 20 μmol·L^-1）. The model group was treated with 1 μmol·L^-1 LPS. Cell viability was assessed using the cell proliferation and activity assay （CCK-8 kit）. Nitric oxide （NO） release in the cell supernatant was measured using a nitric oxide kit （Griess method）. The mRNA expression levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and interleukin-6 （IL-6） were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The phosphorylation of mitogen-activated protein kinase （MAPK） pathway proteins was assessed by Western blot. ResultsCompared with the model group， ZH-13 dose-dependently reduced NO release from BV-2 cells under LPS stimulation （P<0.05， P<0.01）. In the 20 μmol·L^-1 ZH-13 treatment group， the mRNA expression levels of IL-1β， TNF-α， iNOS， and IL-6 were significantly reduced compared to the model group （P<0.05， P<0.01）. In both the low- and high-dose ZH-13 groups， the expression of the inflammatory factor TNF-α and the phosphorylation of c-Jun N-terminal kinase （JNK） in the upstream MAPK pathway were significantly reduced （P<0.05）. After stimulation with the JNK agonist anisomycin （Ani）， both low- and high-dose ZH-13 treatment groups showed reduced phosphorylation of JNK proteins compared to the Ani-treated group （P<0.01）. ConclusionThe sesquiterpene compound ZH-13 from Aquilariae Lignum Resinatum significantly ameliorates LPS-induced neuroinflammatory responses in BV-2 cells by inhibiting excessive JNK phosphorylation and reducing TNF-α expression. These findings elucidate the pharmacological substances and mechanisms underlying the sedative and calming effects of Aquilariae Lignum Resinatum.

Objective To prepare washed platelets by automatic blood cell treatment system ACP215 and evaluate the in vitro quality of the platelets after washing.Methods Based on the ACP215 washing program,the improved disposable consum-ables,as well as the prepared platelet washing solution and suspension,were applied to automatically wash and prepare single bags of platelets.The platelet volume,platelet content,plasma protein content,PDW,MPV and PH before and after washing were compared,and compared with the traditional manual washing method.After storage for 24 hours,platelet aggregation test,thromboelastography MA evaluation and subcellular structure photoimaging were performed.Results The recovery rate was(87.55±2.54)％and plasma protein clearance was(95.84±0.69)％,which were significantly higher than the conventional manual method(Z=-13.633,P＜0.01;Z=-12.039,P＜0.01).There was no statistical difference in maximum aggregation and aggregation time of platelets before and after washing(t=1.273,P=0.218;t=0.770,P=0.451).MA value was slightly reduced(t=2.236,P=0.038).There was no statistical difference in subcellular structure before and after washing(x2=2.257,P=0.133;x2=0.523,P=0.469).Conclusion Utilization of automatic blood cell treatment system ACP215 can standardize and automatically prepare washing platelets which meet the quality requirements.The platelets has good in vitro function after washing and 24 hours of storage.

Objective:Currently, there is a lack of targeted training programs for resident physicians in cardiopulmonary resuscitation (CPR) in China. This study aims to establish a stratified training indicator system for resident physicians in CPR that is in line with the medical realities in China.Methods:Expert consultation questionnaires were designed through literature review, group discussions, and surveys. Two rounds of expert consultation were conducted using the modified Delphi method to develop the stratified training indicator system for resident physicians in CPR. Statistical analysis was performed using SPSS 26.0 software and Kendall's coefficient of concordance was used to assess the consistency of expert opinions.Results:A total of 15 experts participated in two rounds of questionnaire consultation, with a positive coefficient of 100.00% and an authority coefficient of 0.91, indicating high expert engagement and authority, thus ensuring the credibility of the results. The coefficient of variation for expert ratings in the first round of questionnaire consultation ranged from 0 to 0.40, with a concordance coefficient of 0.22 ( P<0.001). In the second round of questionnaire consultation, the coefficient of variation for expert ratings ranged from 0 to 0.24, with a concordance coefficient of 0.25 ( P<0.001). The Kendall's coefficient of concordance for expert opinions showed statistically significant differences in both rounds of questionnaire consultation, indicating consensus among experts and reliable results. This system consisted of 6 primary indicators and 32 secondary indicators. Conclusions:Based on the modified Delphi method, this study established a stratified training indicator system for resident physicians in CPR. In the future, based on the research findings, CPR training programs adapted to the medical realities in China will be developed and promoted to validate their scientific and practical value.