ObjectiveTo investigate whether Bushen Huoxue prescription improves embryo implantation through regulating exosomal miRNA to enhance maternal-fetal interface communication based on Bushen Huoxue therapy. MethodsIn the animal experiment， all the rats （except for the blank group） were administered hydroxyurea （450 mg·kg^-1） via gavage for 10 d， as well as epinephrine （0.3 mg·kg^-1） and mifepristone （5.5 mg·kg^-1） via subcutaneous injection for 7 d to establish an implantation disorder model of kidney deficiency and blood stasis type. The Bushen Huoxue prescription （BSHX） groups were administered the prescription at different doses （7.30 g·kg^-1 for the high-dose group， 3.65 g·kg^-1 for the medium-dose group， and 1.83 g·kg^-1 for the low-dose group） via gavage. The dydrogesterone group was administered the corresponding medicine （2.63 mg·kg^-1） via gavage. After intervention for 10 days， uterine histopathological changes were observed via hematoxylin-eosin （HE） staining. Mucin （MUC1）， forkhead box protein O1 （FoxO1）， and homeobox A10 （HoxA10） expression levels were detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot. Cell experiment selected primary endometrial epithelial cells （EEC） and trophoblast cells （TC） as research subjects. Exosome-free medicated serum was prepared by ultracentrifugation and cultured in complete medium. Exosomes were isolated from cell supernatants by ultracentrifugation for cross-co-culture. After 48 h， migration and invasion abilities were assessed by scratch and Transwell assays. Sequencing was then performed on EEC-origin exosomal miRNA. ResultsThe model rats exhibited thin endometrium， along with reduced blood vessels， glandules， and pinopode numbers. BSHX improved endometrial morphology and increased pinopode numbers. MUC1， FoxO1， and HoxA10 expressions were downregulated in the model rats， while these parameters were upregulated after BSHX medium- and high-dose intervention. In the cell experiment， after exosome-free medicated serum intervention for 24 h， migration and invasion abilities were enhanced in the BSHX groups （P<0.01）. In EEC-origin exosomal miRNA sequencing， gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses revealed enrichment in biological processes （gastrulation， neuronal differentiation， alongside cell development and regeneration）， involving the mitogen-activated protein kinase （MAPK）， FoxO1， Wnt， mammalian target of rapamycin （mTOR）， and tumor necrosis factor （TNF） signaling pathways. ConclusionBSHX promotes embryo implantation by improving endometrial receptivity via regulating exosomal miRNA. These findings provide potential targets for exosomal miRNA-based assisted reproductive strategies and a novel theoretical basis for infertility treatment by traditional Chinese medicine.

Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

Objective This study aimed to investigate the seasonal variation of mosquitoes in Yantai, Shandong Province, and provide a scientific basis for mosquito and mosquito-borne disease control. Methods From March to November for each of the years between 2020 and 2023, adult mosquitoes were collected from different habitats, including parks, hospitals, urban residential areas, rural households and livestock sheds, in 13 counties of Yantai City using a mosquito trap lamp method, among which, female mosquitoes were separated and identified, and the numbers were counted. We used the circular distribution method to analyze the temporal distribution characteristics of mosquito density. Results The γ values obtained for mosquitoes in Yantai from 2020 to 2023, the distribution of mosquitoes in different habitats, and dominant mosquito species in different months showed strong seasonality, with values ranging from 0.7461 to 0.8531(P ＜ 0.05). The peak period of seasonal variation in mosquitoes occurred from June 28thto September 13th, with August 5thbeing identified as the peak day. The peak periods of seasonal variation in mosquitoes in residential areas, parks, hospitals, peasant households, and animals sheds were observed from June 24thto September 14th, June 25thto September 10th, June 22ndto September 12th, July 1stto September 9th, and July 2ndto September 17th, respectively, with corresponding peak days on August 4th,3rd, 2nd, 5th, and 9th, respectively. The peak periods of Culex pipiens pallens, Aedes albopictus, and Anopheles sinensis were from June 26thto September 11th, June 28thto September 17th, and July 12thto September 17th, respectively, with corresponding peak days on August 3rd,7th, and 14th, respectively. Conclusions Our findings in this study revealed that the peak of mosquito activity in Yantai was concentrated in early August, with a peak period extending from June 28thto September 13th, and there were differences between different habitats(with peak periods for rural households and livestock sheds occurring later than those in residential areas, parks, and hospitals). Moreover, with respect to the mosquito species, populations of Cx. pipiens pallens and Ae. albopictus peaked earlier than those of An. sinensis. Based on these findings, we recommend that city-wide mosquito control work should commence in late June, and include appropriate early prevention and control measures for key habitats, such as livestock sheds, and dominant mosquito species, such as Cx. pipiens pallens, to minimize the density of mosquito vectors and the risk of disease transmission.

The development status of the key technologies of first-aid robotics was introduced in autonomous system,embo-died intelligence,digital twins,large artificial intelligence model and autonomous unmanned medical treatment.The present situation in first-aid robotics equipment was reviewed for first-aid diagnosis,treatment,assistance and transportation.The development trends of the key technology and equipment of first-aid robotics were analyzed.It was pointed out the involve-ment of big model-based embodied intelligence technology and digital twins technology in first aid might provide new pers-pectives for the application and advancement of specialized first-aid robotics.[Chinese Medical Equipment Journal,2025,46(3):96-114]

Gastroblastoma (GB) is a rare gastric epithelial tumor without special clinical manifestations, whose histologic origin and pathogenesis remain unclear due to less related reports.Low-grade cell forms with biphasic differentiation are typical histological characteristics of GB.Immunohistochemistry and molecular tests can help with its differential diagnosis.GB is an invasive low-grade malignant tumor and the first treatment is surgical resection.However, there is no uniform standard treatment plan at present and most patients have a good prognosis.In this article, the histopathology, diagnosis and identification diagnosis of GB was reviewed to provide a theoretical basis for its origin, development, treatment and patient prognosis.

Objective:To explore the status quo of fertility information need of breast cancer patients at childbearing age, and analyze its influencing factors.Methods:From April to October 2023, 400 cases of breast cancer patients of childbearing age in two Class Ⅲ Grade A hospitals in Zhengzhou City were selected by convenience sampling. Patents were investigated with the General Information Questionnaire and the Fertility Information Needs Assessment Questionnaire for Breast Cancer Patients of Childbearing Age. Multiple linear regression was used to analyze the influencing factors of fertility information need of breast cancer patients of childbearing age. A total of 400 questionnaires were distributed, and 385 valid questionnaires were collected, with an effective response rate of 96.25% (385/400) .Results:The 385 breast cancer patients of childbearing age had a high level of need for fertility information with an average score of items (3.17±0.73). The scores for each dimension in descending order of the mean score of items were disease impact information, treatment impact information, psychosocial information, fertility management information, sexual health information, and fertility protection information. Age, marital status, education level, per capita monthly family income and duration of illness were the factors influencing the fertility information need ( P<0.05) . Conclusions:Breast cancer patients of childbearing age have a high level of need for fertility information, and their need is influenced by a number of factors. Medical and nursing staff should improve the fertility information support program based on the real needs of breast cancer patients, and provide personalized fertility information support for breast cancer patients of childbearing age with different characteristics.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Radiation-induced rectal injury (RRI) refers to inflammatory intestinal complications of patients with pelvic cavity, abdominal cavity and retroperitoneal tumor during or after radiotherapy, presenting symptoms such as diarrhea, abdominal pain, anal distension, bloody stool, etc. In severe cases, rectovaginal fistula, intestinal obstruction, canceration can occur, adversely affecting the quality of life of patients. The clinical factors of RRI involve total radiotherapy dose, tumor volume, radiotherapy mode and patient-related risk factors. The diagnosis mainly depends on imaging examinations (such as CT, MRI and ultrasound), endoscopy and laboratory examination. The mechanism of RRI is related to intestinal epithelial cell destruction, stem cell injury, microvascular changes and microbial flora imbalance. At present, there is no gold standard for RRI treatment, and the main measures include surgical treatment, internal medicine treatment, hyperbaric oxygen therapy and fecal microbiota transplantation, etc. In this article, the latest progress in the pathogenesis, diagnosis and treatment of RRI was reviewed.

Objective To explore the application value of serum cystatin C(CysC)and cluster of differentiation 147(CD147)in predicting restenosis after intracranial artery stenosis stenting(ICASS)in patients with acute ischemic stroke(AIS).Methods A total of 151 AIS patients who received ICASS were selected as the study group,and 112 healthy individuals who underwent physical examinations during the same period were chosen as the control group.The study group was further divided into the restenosis group(30 cases)and the non-stenosis group(121 cases)based on the restenosis status within 6 months after ICASS.The serum CysC levels of the subjects were detected by immunoturbidimetry,and the serum CD147 levels were measured by enzyme-linked immunosorbent assay.Multivariate Logistic regression analysis was conducted to identify factors influencing restenosis after ICASS in AIS patients.The receiver operating characteristic(ROC)curve was used to evaluate the application efficacy of serum CysC and CD147 levels in predicting restenosis after ICASS in AIS patients.Results Serum levels of CysC and CD147 were higher in the study group than those in the control group(P＜0.01).The proportion of patients with stenosis degree>75%and serum levels of CysC and CD147 were higher in the restenosis group than those in the non-stenosis group(P＜0.01).The degree of stenosis>75%and the increased serum levels of CysC and CD147 were risk factors for restenosis after ICASS in AIS patients(P＜0.01).ROC curve analysis showed that serum CysC and CD147 levels independently predicted the AUC of AIS patients with restenosis after ICASS were 0.845 and 0.850,respectively,and the combined predicted AUC was 0.942.The combined prediction efficiency was significantly better than that of single indicator prediction(P＜0.05).Conclusion The increased levels of serum CysC and CD147 in AIS patients are risk factors for restenosis after ICASS,and the combination of the two is more effective in predicting intracranial artery restenosis after ICASS in AIS patients.