Stroke is one of the leading causes of disability and mortality worldwide. Research into its mechanisms and the development of therapeutic strategies heavily rely on animal models that accurately replicate the pathological features of human disease. An ideal animal model for stroke should not only reproduce the neurological deficits and pathological changes observed in clinical patients but also demonstrate good reproducibility and translational value. This review focuses on the preparation and evaluation methods of ischemic stroke animal models. Firstly, it elaborates on the selection criteria, advantages, and disadvantages of experimental animals, including rodents (rats, mice) and non-rodents (non-human primates, miniature pigs, rabbits, zebrafish). Secondly, it provides a detailed overview of the modeling principles, key procedures, and application scopes for ischemic stroke models and hemorrhagic stroke models. Furthermore, the review summarizes advances in the applications of emerging technologies—including gene editing [e.g., clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing], multimodal imaging (e.g., two-photon microscopy, photoacoustic imaging), artificial intelligence, optogenetics, 3D bioprinting, organoid models, and multi-omics–in model optimization, precise assessment, and mechanistic investigation. Finally, based on a systematic analysis of relevant domestic and international literature from 2019 to 2024, this review discusses model selection strategies based on research objectives, a multidimensional evaluation system encompassing behavioral, imaging, and molecular pathological assessments, and envisions future directions involving technological integration to achieve model precision and individualization. This article aims to provide a comprehensive methodological reference to help researchers select appropriate animal models of stroke according to specific scientific questions.

ObjectiveThis paper aims to clarify the material basis of Gualou Niubangtang and establish a quantitative analysis method for its main constituents， providing a reference for the overall quality control of this preparation. MethodsThe constituents in the formula were systematically characterized based on ultra-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry （UPLC-Q-TOF-MS/MS）. Identification was performed by matching with the UNIFI 9.6 software and utilizing database platforms such as PubChem， ChemicalBook， and ChemSpider， combined with relevant literature reports. A quantitative analysis method for the seven main constituents in Gualou Niubangtang was established by using high performance liquid chromatography （HPLC）. ResultsUPLC-Q-TOF-MS/MS analysis identified 155 constituents， including 69 flavonoids， 36 terpenoids， 23 phenylpropanoids， 8 phenylethanoid glycosides， and 19 other types of constituents. In the established quantitative analysis method， the seven main constituents showed good linearity within their respective linear ranges. The precision， repeatability， stability， and spike recovery all met the required standards. The results showed that the content ranges of geniposide， liquiritin， hesperidin， arctiin， baicalin， oroxylin A-7-O-β-D-glucuronide， and wogonoside in 15 batches of Gualou Niubangtang were 13.67-21.25， 1.20-7.64， 5.45-7.45， 22.97-33.51， 29.95-39.07， 2.58-4.80， and 6.56-9.31 mg·g^-1， respectively. ConclusionThis study successfully characterizes and attributes multi-category constituents in Gualou Niubangtang， clarifying that its material basis is primarily composed of flavonoids， terpenoids， phenylethanoid glycosides， and phenylpropanoids. Furthermore， it enables the quantification of seven constituents within the formula. This work lays a foundation for research on the quality control， action mechanism， and clinical application of this formula.

ObjectiveTo investigate the role and underlying mechanism of the Wnt/β-catenin signaling pathway in the process of Xiaojinwan （XJW）-containing serum interfering with endothelial-mesenchymal transition （EMT） in human breast cancer MDA-MB-231 cells. MethodsXJW-containing serum was prepared by intragastric administration of XJW （4 g·kg^-1） to SD rats. MDA-MB-231 cells were cultured in vitro. β-Catenin overexpression and knockdown plasmids were constructed and transfected into MDA-MB-231 cells. The optimal XJW-containing serum （4 g·kg^-1） according to previous studies was used for β-catenin intervention and overexpression experiments. The groups for intervention/overexpression experiments included intervention/overexpression blank group， β-catenin intervention/overexpression group， intervention/overexpression blank + XJW group， and β-catenin intervention/overexpression + XJW group. Cell morphology was observed under a microscope. Flow cytometry was used to detect and record apoptosis rates. Western blot was performed to measure apoptosis-related proteins ［B-cell lymphoma 2 （Bcl-2）， Bcl-2-associated X protein （Bax）， and active-Caspase-3］ and EMT-related proteins （E-cadherin， N-cadherin， and vimentin）. Real-time polymerase chain reaction （Real-time PCR） was used to detect β-catenin mRNA expression levels in different groups. ResultsIntervention experiment results showed that compared with the intervention blank group， the β-catenin intervention group and the intervention blank + XJW group showed increased apoptosis rates （P<0.05， P<0.01）， elevated protein levels of Bax， active Caspase-3， and E-cadherin （P<0.05， P<0.01）， and decreased protein levels of Bcl-2 and Vimentin （P<0.05， P<0.01）. β-catenin mRNA expression was reduced in the β-catenin intervention group （P<0.05， 0.63 ± 0.15） and the intervention blank + XJW group （P<0.05， 0.79 ± 0.33）. Compared with the β-catenin intervention group， the β-catenin intervention + XJW group exhibited an increased apoptosis rate （P<0.01）， elevated Bax and active Caspase-3 protein levels （P<0.05， P<0.01）， and decreased Bcl-2， N-cadherin， and Vimentin protein levels （P<0.05）. β-catenin mRNA expression was further reduced in the β-catenin intervention + XJW group （P<0.01， 0.22 ± 0.08）. Compared with the intervention blank + XJW group， the β-catenin intervention + XJW group showed an increased apoptosis rate （P<0.01）， elevated Bax， active Caspase-3， and E-cadherin protein levels （P<0.05， P<0.01）， and decreased Bcl-2， N-cadherin， and vimentin protein levels （P<0.05， P<0.01）. β-catenin mRNA expression was also reduced （P<0.05）. Overexpression experiment results showed that compared with the overexpression blank group， the β-catenin overexpression group exhibited a reduced apoptosis rate （P<0.01）， while the overexpression blank + XJW group showed an increased apoptosis rate （P<0.05）. In the β-catenin overexpression and β-catenin overexpression + XJW groups， Bax and E-cadherin protein levels decreased （P<0.05， P<0.01）， while Bcl-2， N-cadherin， and vimentin levels increased （P<0.05）. In the overexpression blank + XJW group， Bax and E-cadherin levels increased （P<0.05， P<0.01）， while Bcl-2， N-cadherin， and vimentin levels decreased （P<0.05， P<0.01）. β-catenin mRNA expression increased in the β-catenin overexpression group （P<0.01， 7.26 ± 1.03） but decreased in the overexpression blank + XJW group （P<0.05， 0.73 ± 0.14）. Compared with the β-catenin overexpression group， the β-catenin overexpression + XJW group showed an increased apoptosis rate （P<0.01）， elevated Bax and E-cadherin levels （P<0.05）， and decreased N-cadherin and vimentin levels （P<0.05）. β-catenin mRNA expression was reduced （P<0.05， 4.65 ± 1.02）. Compared with the overexpression blank + XJW group， the β-catenin overexpression + XJW group exhibited a reduced apoptosis rate （P<0.01）， decreased Bax and E-cadherin levels （P<0.01）， and increased Bcl-2， N-cadherin， and Vimentin levels （P<0.05）. β-catenin mRNA expression increased （P<0.01）. ConclusionXJW-containing serum inhibits breast cancer cell proliferation by suppressing EMT， which is associated with the regulation of the Wnt/β-catenin pathway.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

ObjectiveTo address the key challenges in breast electrical impedance tomography (EIT) reconstruction including the severe ill‑posedness of the inverse problem, limited measurement information from the electrodes, low contrast of small lesions, as well as the common drawbacks of traditional reconstruction methods such as boundary blurring, low spatial resolution, and weak small-target detection capability, and to overcome the limitations of existing deep learning approaches namely low training efficiency, insufficient physical consistency, and substantial information loss during the low‑to‑high dimensional mapping process, this study proposes a multi‑scale attention and dynamic sparse mask fusion network (MADS‑Net). The proposed method aims to enhance high‑resolution reconstruction accuracy, small-lesion detectability, noise robustness, and computational efficiency in breast‑screening-oriented EIT, thereby providing a feasible solution for the application of EIT in breast functional imaging. MethodsThe proposed network adopts a strategy of “locate first, reconstruct later”. It realizes adaptive allocation of computational resources through a dynamic mask module, alleviates information loss in the low-to-high dimensional mapping process via a multi-scale attention mechanism, and embeds physical constraints to improve the physical rationality of reconstruction results. The performance of the proposed method was validated through systematic numerical simulations, agar phantom experiments, and porcine tissue experiments. Comparisons were made with mainstream methods including the Gauss-Newton algorithm, convolutional neural networks, U-Net, and Deep D-Bar. The image correlation coefficient (ICC), root mean square error (RMSE), and peak signal-to-noise ratio (PSNR) were adopted as quantitative evaluation metrics. Furthermore, lesion‑level evaluation metrics were introduced to assess the capability of different methods in reconstructing abnormal target boundaries and small‑sized target regions. ResultsExperimental results demonstrate that MADS-Net outperforms all comparison methods across all test scenarios. In numerical simulations, it achieves higher accuracy in target morphology and spatial location recovery as well as better background suppression. In agar phantom experiments, its detection and imaging reliability for small targets is significantly superior to the comparison methods. In porcine tissue experiments, the model maintains good generalization performance and can adapt to complex biological tissue imaging scenarios. Quantitative results show that MADS-Net achieves an average ICC of 0.917 6±0.048 8, an RMSE as low as0.060 6±0.031 6, and a PSNR of (23.893 9±2.685 3) dB. It successfully detects tiny targets as small as 5 mm within a 100 mm diameter sensing field, reduces the total training duration by 23.5% compared with the baseline method, and maintains stable reconstruction performance even under strong noise interference. ConclusionThe results demonstrate that MADS-Net achieves favorable EIT reconstruction performance in numerical simulations, agar phantom experiments, and porcine tissue experiments, even under common practical imaging challenges including low signal-to-noise ratio and blurred tissue boundaries. This study provides a methodological reference for further research on EIT in breast-screening-related scenarios and other medical functional imaging tasks, and also offers a low-cost, radiation-free alternative for breast lesion screening that aligns with the clinical demand for non-invasive diagnostic tools. It should be noted that real clinical breast data have not yet been used for validation in this study, and the clinical applicability of the proposed method requires further investigation. Future work will prioritize collecting multi-center real clinical breast datasets, and further optimize the model’s generalization ability to adapt to individual differences in breast tissue composition to promote its clinical application.

ObjectiveTo investigate the effect of neuromuscular electrical stimulation (NMES) on quadriceps muscle strength and walking for patients after anterior cruciate ligament reconstruction (ACLR). MethodsThirty-four patients after ACLR were selected at Beijing Rehabilitation Hospital of Capital Medical University from July, 2022 to October, 2023, and randomly divided into control group (n = 17) and experimental group (n = 17). Both groups received routine rehabilitation and functional training, and the experimental group received NMES during the functional training, while the control group received sham NMES, for eight weeks. Quadriceps peak torque-to-weight ratio, single-leg support phase and plantar impulses during walking were measured before and after intervention. ResultsTwo cases in the control group and three in the experimental group dropped down. Quadriceps peak torque-to-weight ratio improved in both groups after intervention (|t| > 17.578, P < 0.001), and improved more in the experimental group than in the control group (t = 4.714, P < 0.001); while the affected single-leg support phase and the affected/unaffected single-leg support phase ratio improved in both groups (|t| > 16.882, P < 0.001), and improved more in the experimental group than in the control group (t > 3.234, P < 0.01); and plantar impulses of all zones optimized in both groups (t > 9.221, P < 0.001), and were better in the experimental group than in the control group(|t| > 2.852, P < 0.01). ConclusionNMES may further improve quadriceps muscle strength, plantar pressure distribution during walking and single-leg support in patients after ACLR.

The professional development of medical social workers currently faces several dilemmas， such as insufficient professionalism， unbroken professional barriers， and an incomplete policy system. To address these dilemmas， medical social workers should clarify the dimensions of their professional capabilities and strive to improve their professional capabilities， building a professional capability framework focusing on problem-solving. Meanwhile， with the popularization of AI technology， the cross-field integration and development of “AI + medical social workers” have brought new opportunities for the professional capability construction of medical social workers. For example， big data can enhance the optimization of electronic health record services； virtual reality （VR） and augmented reality can facilitate the electronic standardization of social worker training for clients； and machine learning can promote the transformation of the social work service model towards “risk prediction and advance intervention，” assisting in improving direct service capabilities. ChatGPT and VR remote consultation systems can be used for supervision services， big data cloud classrooms and robot teaching assistants can broaden learning channels， and natural language processing technology can assist in professional document writing， aiding in enhancing indirect service capabilities. However， applying AI technology to the professional capacity construction of medical social workers may also lead to the alienation of the professional service relationship of medical social workers from needs assessment and relationship building to service intervention， further causing ethical risks brought by demand bias， relationship alienation， and weakened subjectivity. Therefore， it is necessary to rationally view AI’s “double-edged sword” effect. While enjoying the field transformation brought about by high and new technology， it is also imperative to address the subsequent challenges from the perspectives of social work professional assessment and review， educational supervision， and ethical awareness enhancement.

Objective To analyze the status of persistent human papillomavirus (HPV) infection and the distribution of viral subtypes in the Zhengzhou region. Methods Clinical data of 55239 patients who underwent HPV-DNA genotyping tests from 2018 to 2024 were collected. On the basis of HPV follow-up results, patients were divided into three groups: 849 cases of infection with the same HPV type, 255 cases of persistent infection with different HPV types, and 857 cases of transient HPV infection. Results Among the 9232 initially-screened patients who were positive with HPV, the high-risk HPV (HR-HPV) positive rate was 84.6% (7813/9232), and predominant subtypes were HPV-16 (20.8%), HPV-52 (17.2%), and HPV-53 (9.6%). The low-risk HPV (LR-HPV) positive rate was 15.4% (1419/9232), mainly HPV-81 (28.1%) and HPV-42 (27.0%). Among the 1961 follow-up cases, the rates of persistent and non-persistent infections with the same HPV type were 35.7% (701/1961) and 7.5% (148/1961), respectively. The rates of persistent and non-persistent infections with different HPV types were 10.9% (214/1961) and 2.1% (41/1961), respectively. Meanwhile, 43.7% (857/1961) tested negative upon follow-up. Among the 701 cases of persistent infection with the same HPV type, HR-HPV accounted for 85.7% (601/701), and LR-HPV accounted for 14.3% (100/701). Among the 214 cases of persistent infection with different HPV types, 89.7% (192/214) were high-risk transitions, and 10.3% (22/214) were low-risk transitions. Regardless of HPV types, HR-HPV was more likely to cause persistent infection than LR-HPV. In addition, over 60% of HR-HPV persistent infections resolved within 18 months, 30% developed into persistent infections, and only 15% of patients had persistent infections that last more than 24 months. Conclusion Persistent HPV infections are predominantly high-risk types. Most patients clear the infection within 18 months, approximately 30% develop persistent infections, and about 15% of patients have persistent infections that last more than 24 months. However, the HR-HPV persistent infection rates across different age groups slightly differ.

Objective To establish a rapid,sensitive,and specific multiplex PCR detection method for the simultaneous detection of Cryptosporidium,Eimeria,and bovine parvovirus.Methods Specific primers targeting the SSU rRNA genes of Cryptosporidium and Eimeria,as well as the VP2 gene of bovine parvovirus were designed and the corresponding recombinant plasmid standards were constructed.To establish the multiplex PCR method,the reaction conditions were optimized using temperature gradient PCR and single-variable control methods.The sensitivity,specificity,reproducibility,and clinical application of the protocol were evaluated.Results The optimal annealing temperature was found to be 60.5℃,and the forward and reverse primer concentrations were determined to be 0.2 μmol/L for Eimeria,and 0.4 μmol/L for Cryptosporidium and bovine parvovirus.The assay demonstrated high sensitivity,with detection limits of 243,260,and 3 110 copies for the recombinant plasmid standards of Cryptosporidium,Eimeria,and bovine parvovirus,respectively.Specificity testing showed no cross-reactivity with ten common bovine pathogens,including Salmonella,bovine viral diarrhea virus,and bovine rotavirus.Consistent intra-and inter-batch results confirmed the strong reproducibility of the method.Clinical application to 81 diarrhea samples from various regions in the Ganzi Prefecture,Sichuan,revealed positivity rates of 18.52%(15/81)for Cryptosporidium,34.57%(28/81)for Eimeria,and 18.52%(15/81)forbovineparvovirus,withamixedinfectionrateof3.7%(3/81).Conclusions Themultiplex PCR method established in this study offers a reliable tool for differential diagnosis and epidemiological investigation of the three common diarrheal pathogens in yaks.