Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

Stresses induced by the deficiency or excess of trace mineral elements, such as manganese (Mn), represent a common limiting factor for the production of crops like Brassica napus. To identify key genes involved in Mn allocation in B. napus and elucidate the underlying mechanisms, a member of the metal tolerance protein (MTP) family obtained in the previous screening of cDNA library of B. napus under Mn stress was selected as the research subject. Based on the sequence information and phylogenetic analysis, it was named as BnMTP10. It belongs to the Mn-cation diffusion facilitator (CDF) subfamily. Expression of BnMTP10 in yeast significantly improved the tolerance of transformants to excessive Mn and iron (Fe) and reduced the accumulation of Mn and Fe. However, the yeast transformants exhibited no significant changes in tolerance to excess cadmium, boron, aluminum, zinc, or copper. The qRT-PCR results demonstrated that the flowers of B. napus had the highest expression of BnMTP10, followed by roots and leaves. Subcellular localization studies revealed that BnMTP10 was localized in the endoplasmic reticulum (ER). Compared with wild-type plants, transgenic Arabidopsis overexpressing BnMTP10 exhibited enhanced tolerance to excessive Mn stress but showed no significant difference under Fe stress. Correspondingly, under excessive Mn stress, the Mn content in the roots of transgenic Arabidopsis increased significantly. However, under excessive Fe stress, the Fe content in transgenic Arabidopsis did not alter significantly. According to the results, we hypothesize that BnMTP10 may alleviate excessive Mn stress in plants by mediating Mn transport to the ER. This study facilitated our understanding of efficient mineral nutrients, and provided theoretical foundations and gene resources for breeding B. napus.
Brassica napus/genetics* ; Manganese/metabolism* ; Plants, Genetically Modified/genetics* ; Plant Proteins/physiology* ; Arabidopsis/metabolism* ; Gene Expression Regulation, Plant ; Phylogeny ; Cation Transport Proteins/metabolism* ; Stress, Physiological

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

Objective:To evaluate the application efficiency of the artificial prenatal sonography quality assurance system（PSAIS）in the quality control of fetal image quality during the first trimester（11-14 weeks），and to assist the quality control of fetal ultrasound examinations in the first trimester in Liaoning Province using this system.Methods:One hundred fetuses（2 757 ultrasound images）from early pregnancy ultrasound screenings at the Shengjing Hospital Affiliated to China Medical University in November 2022 were retrospectively randomly selected as the test set. The performance of PSAIS were evaluated by 3 obstetric ultrasound experts. First，the experts' sectional classification was used as the gold standard，the accuracy of PSAIS in classifying standard sections was assessed；the consistency between PSAIS and expert ratings was evaluated using the intraclass correlation coefficient（ICC）. The difference of time between PSAIS and expert quality control was analyzed. Finally，PSAIS was used to evaluate the quality of early pregnancy fetal ultrasound examinations at various levels of hospitals in Liaoning province，involving a total of 35 hospitals. Ten early pregnancy fetal ultrasound screening cases were randomly selected from each hospital. The specific evaluation content included the number of stored ultrasound images per examination，the completion rate of standard sections，image quality scores for each examination and individual images，excellence rates and pass rates. The assessment results were statistically described and analyzed.Results:The accuracy rate of PSAIS classification reached to 88.25%（706/800）；the ICC between PSAIS and expert ratings was 0.978. PSAIS analysis showed that the time for each early pregnancy fetal ultrasound examination was less than the average time required by experts（3.0 s vs. 63.5 s， P<0.05）.Quality control checks revealed statistically significant differences among hospitals at various levels in terms of the number of stored images，completeness of sections，scoring，excellence rate，and pass rate（all P<0.05）. Among them，tertiary hospitals performed better than secondary hospitals，private hospitals outperformed public ones，and specialized hospitals excelled over general hospitals. In the evaluation of section standardization，the fetal median sagittal plane had the highest completion rate［99.43%（348/350）］，while the umbilical cord abdominal wall entry transverse plane scan had the lowest completion rate［31.14%（109/350）］. Conclusions:PSAIS can reliably assess the quality of early pregnancy fetal ultrasound examinations，significantly enhancing the efficiency of quality control. There are noticeable differences among hospitals at various levels in Liaoning Province regarding the image quality of early pregnancy fetal ultrasounds，and there are also some common issues in standardizing sections. The quality of obstetric ultrasound images still needs further improvement.

Objective:To evaluate the application efficiency of the artificial prenatal sonography quality assurance system（PSAIS）in the quality control of fetal image quality during the first trimester（11-14 weeks），and to assist the quality control of fetal ultrasound examinations in the first trimester in Liaoning Province using this system.Methods:One hundred fetuses（2 757 ultrasound images）from early pregnancy ultrasound screenings at the Shengjing Hospital Affiliated to China Medical University in November 2022 were retrospectively randomly selected as the test set. The performance of PSAIS were evaluated by 3 obstetric ultrasound experts. First，the experts' sectional classification was used as the gold standard，the accuracy of PSAIS in classifying standard sections was assessed；the consistency between PSAIS and expert ratings was evaluated using the intraclass correlation coefficient（ICC）. The difference of time between PSAIS and expert quality control was analyzed. Finally，PSAIS was used to evaluate the quality of early pregnancy fetal ultrasound examinations at various levels of hospitals in Liaoning province，involving a total of 35 hospitals. Ten early pregnancy fetal ultrasound screening cases were randomly selected from each hospital. The specific evaluation content included the number of stored ultrasound images per examination，the completion rate of standard sections，image quality scores for each examination and individual images，excellence rates and pass rates. The assessment results were statistically described and analyzed.Results:The accuracy rate of PSAIS classification reached to 88.25%（706/800）；the ICC between PSAIS and expert ratings was 0.978. PSAIS analysis showed that the time for each early pregnancy fetal ultrasound examination was less than the average time required by experts（3.0 s vs. 63.5 s， P<0.05）.Quality control checks revealed statistically significant differences among hospitals at various levels in terms of the number of stored images，completeness of sections，scoring，excellence rate，and pass rate（all P<0.05）. Among them，tertiary hospitals performed better than secondary hospitals，private hospitals outperformed public ones，and specialized hospitals excelled over general hospitals. In the evaluation of section standardization，the fetal median sagittal plane had the highest completion rate［99.43%（348/350）］，while the umbilical cord abdominal wall entry transverse plane scan had the lowest completion rate［31.14%（109/350）］. Conclusions:PSAIS can reliably assess the quality of early pregnancy fetal ultrasound examinations，significantly enhancing the efficiency of quality control. There are noticeable differences among hospitals at various levels in Liaoning Province regarding the image quality of early pregnancy fetal ultrasounds，and there are also some common issues in standardizing sections. The quality of obstetric ultrasound images still needs further improvement.

Clinical trials play a crucial role in advancing the field of human health care. The registration of clinical trials can effectively identify potential publication bias and prevent unnecessary duplication of research efforts, serving as a source of transparent data for health care professionals and researchers, enhancing the quality of clinical research, and presenting more transparent, standardized, authentic, and useful clinical trials. To enhance the capacity for evidence production in traditional medicine from the source, the International Traditional Medicine Clinical Trial Registry (ITMCTR), a cross-regional registry focusing on the theme of traditional medicine, was established. Under the current registration background, this study aims to introduce the problems and current status related to clinical trial registration, as well as the features and functions of the ITMCTR. The results of this study illustrate the necessity of establishing a specialized registration platform for traditional medicine to assist researchers in understanding the basic background of registration and relevant information regarding registration platforms, regardless of whether their research is related to traditional medicine or not. Ultimately, the results of this work will help researchers choose the appropriate platform for more efficient and transparent registration.

Since the concept of patient versions of guidelines （PVGs） was introduced into China， several PVGs have been published in China， but we found that there is a big difference between the concept of PVG at home and abroad， and the reason for this difference has not been reasonably explained， which has led to ambiguity and even misapplication of the PVG concept by guideline developers. By analyzing the background and purpose of PVGs， and the understanding of the PVG concept by domestic scholars， we proposed the term patient guidelines （PGs）. This refers to guidelines developed under the principles of evidence-based medicine， centered on health issues that concern patients， and based on the best available evidence， intended for patient use. Except for the general attribute of providing information or education， which is typical of common health education materials， PGs also provide recommendations and assist in decision-making， so PGs include both the patient versions of guidelines （PVG） as defined by the Guidelines International Network （GIN） and "patient-directed guidelines"， i.e. clinical practice guidelines resulting from the adaptation or reformulation of recommendations through clinical practice guidelines.