ObjectiveTo explore the effect of presentation-assimilation-discussion (PAD) classroom model-based classroom-community collaborative teaching on course of sports rehabilitation therapy under the background of sports-medicine integration. MethodsFrom Febrary, 2024 to June, 2025, a total of 46 undergraduate students majoring in sports rehabilitation (Grade 2022, Capital University of Physical Education and Sports) were randomly divided into control group (n = 23) and experimental group (n = 23). The control group received routine lectures combined with laboratory practice, while the experimental group was taught using a classroom-community collaborative teaching based on PAD classroom structure. The two groups were compared in terms of excellent rate in practical assessment, achievement in higher-order dimensions of Bloom's Taxonomy, real-case rehabilitation scenario transformation ability and teaching satisfaction at the end of the semester. ResultsAt the end of the semester, the excellent rate in practical assessment was 60.87% in the experimental group, higher than 21.74% in the control group (χ² = 7.725, P < 0.05), while the scores in the analyse, evaluation and creation dimensions of Bloom's Taxonomy were significantly higher (t > 8.490, P < 0.001), real-case rehabilitation scenario transformation ability was better (t > 3.873, P < 0.001) and teaching satisfaction was higher (χ² = 8.576, P = 0.003). ConclusionPAD-based classroom-community collaborative teaching can effectively improve practical skills, higher-order cognitive abilities and practical application abilities among students majoring in sports rehabilitation.

With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

To develop the Pharmacovigilance Guidelines for Clinical Application of Chinese Patent Medicines for Mucosal Administration in response to common problems， including insufficient safety information in package inserts， amplified medication risks in special populations， and non-standard clinical practices， thus establishing a risk management system tailored to the characteristics of Chinese patent medicines for mucosal administration. An approach combining qualitative and quantitative methods was adopted. In accordance with the Drug Administration Law of the People's Republic of China （2019 revision） and the GB/T 1.1—2020 standard， a systematic search was performed in the Chinese Pharmacopoeia （2020 edition）， the Catalog of Medicines Covered by Medical Insurance （2022 edition）， Chinese databases ［China Network of Knowledge Infrastructure （CNKI）， Wanfang Data （Wanfang）， and VIP journal resource integration service platform （VIP）］， and international databases （Cochrane Library， PubMed， and EMbase）. Guideline outlines were developed through questionnaire surveys， expert interviews， and the nominal group technique. The content of each item was formulated with full consideration of traditional Chinese medicine （TCM） incompatibility， as well as the conceptual connotations and extensions of pharmacovigilance. The results included 54 Chinese patent medicines for mucosal administration from the Chinese Pharmacopoeia （2020 edition） and 58 from the Catalog of Medicines Covered by Medical Insurance （2022 edition）. Safety-related items in the corresponding package inserts were collected， and 27 relevant publications were retrieved. Thirty experts from 24 institutions were mobilized for the drafting， and opinions from 61 external experts were solicited. A pharmacovigilance framework was established， covering the full chain of "monitoring， identification， assessment， and control". Based on seven anatomical sites， including nasal， ocular， and oral mucosa， a stratified monitoring system was constructed. The guideline proposed key recommendations on improving package insert sections such as "Adverse Reactions"， "Contraindications"， and "Precautions"， clinical procedure standardization in healthcare institutions， risk control， and dynamic pharmacovigilance. The Guideline provides evidence-based support tailored to the risk profile of Chinese patent medicines for mucosal administration， filling the current gap in international pharmacovigilance standards in this field， while offering technical support for safety management across the full life cycle of medicines for mucosal administration.

To develop the Pharmacovigilance Guidelines for Clinical Application of Chinese Patent Medicines for Mucosal Administration in response to common problems， including insufficient safety information in package inserts， amplified medication risks in special populations， and non-standard clinical practices， thus establishing a risk management system tailored to the characteristics of Chinese patent medicines for mucosal administration. An approach combining qualitative and quantitative methods was adopted. In accordance with the Drug Administration Law of the People's Republic of China （2019 revision） and the GB/T 1.1—2020 standard， a systematic search was performed in the Chinese Pharmacopoeia （2020 edition）， the Catalog of Medicines Covered by Medical Insurance （2022 edition）， Chinese databases ［China Network of Knowledge Infrastructure （CNKI）， Wanfang Data （Wanfang）， and VIP journal resource integration service platform （VIP）］， and international databases （Cochrane Library， PubMed， and EMbase）. Guideline outlines were developed through questionnaire surveys， expert interviews， and the nominal group technique. The content of each item was formulated with full consideration of traditional Chinese medicine （TCM） incompatibility， as well as the conceptual connotations and extensions of pharmacovigilance. The results included 54 Chinese patent medicines for mucosal administration from the Chinese Pharmacopoeia （2020 edition） and 58 from the Catalog of Medicines Covered by Medical Insurance （2022 edition）. Safety-related items in the corresponding package inserts were collected， and 27 relevant publications were retrieved. Thirty experts from 24 institutions were mobilized for the drafting， and opinions from 61 external experts were solicited. A pharmacovigilance framework was established， covering the full chain of "monitoring， identification， assessment， and control". Based on seven anatomical sites， including nasal， ocular， and oral mucosa， a stratified monitoring system was constructed. The guideline proposed key recommendations on improving package insert sections such as "Adverse Reactions"， "Contraindications"， and "Precautions"， clinical procedure standardization in healthcare institutions， risk control， and dynamic pharmacovigilance. The Guideline provides evidence-based support tailored to the risk profile of Chinese patent medicines for mucosal administration， filling the current gap in international pharmacovigilance standards in this field， while offering technical support for safety management across the full life cycle of medicines for mucosal administration.

ObjectiveTo investigate the effectiveness of teaching pedagogy based on outcome-based education (OBE) and conceive-design-implement-operate (CDIO) model in the teaching of exercise rehabilitation training. MethodsTwenty-seven postgraduate students majoring in exercise rehabilitation training of grade 2024 at Capital University of Physical Education and Sports were randomly divided into control group (n = 13) and experimental group (n = 14). The control group received routine teaching methods, while the experimental group received teaching of OBE-CDIO. After the course, theoretical scores, objective structured clinical examination (OSCE) scores and teaching satisfaction via questionnaire were compared between two groups. ResultsAfter the course, there was no significant difference in theoretical scores between two groups (t = 1.103, P > 0.05). Scores in all stations of OSCE were higher in the experimental group than in the control group (t > 2.181, P < 0.05), as well as the satisfaction scores of learning, enthusiasm, organization, group interaction, individual affinity, workload and examination (|t| > 3.781, P < 0.001). ConclusionThe teaching pedagogy based on the OBE-CDIO model can improve practical competence and teaching satisfaction among postgraduate students majoring in exercise rehabilitation training.

ObjectiveTo investigate the effectiveness of teaching pedagogy based on outcome-based education (OBE) and conceive-design-implement-operate (CDIO) model in the teaching of exercise rehabilitation training. MethodsTwenty-seven postgraduate students majoring in exercise rehabilitation training of grade 2024 at Capital University of Physical Education and Sports were randomly divided into control group (n = 13) and experimental group (n = 14). The control group received routine teaching methods, while the experimental group received teaching of OBE-CDIO. After the course, theoretical scores, objective structured clinical examination (OSCE) scores and teaching satisfaction via questionnaire were compared between two groups. ResultsAfter the course, there was no significant difference in theoretical scores between two groups (t = 1.103, P > 0.05). Scores in all stations of OSCE were higher in the experimental group than in the control group (t > 2.181, P < 0.05), as well as the satisfaction scores of learning, enthusiasm, organization, group interaction, individual affinity, workload and examination (|t| > 3.781, P < 0.001). ConclusionThe teaching pedagogy based on the OBE-CDIO model can improve practical competence and teaching satisfaction among postgraduate students majoring in exercise rehabilitation training.

ObjectiveTo investigate the effectiveness of teaching pedagogy based on outcome-based education (OBE) and conceive-design-implement-operate (CDIO) model in the teaching of exercise rehabilitation training. MethodsTwenty-seven postgraduate students majoring in exercise rehabilitation training of grade 2024 at Capital University of Physical Education and Sports were randomly divided into control group (n = 13) and experimental group (n = 14). The control group received routine teaching methods, while the experimental group received teaching of OBE-CDIO. After the course, theoretical scores, objective structured clinical examination (OSCE) scores and teaching satisfaction via questionnaire were compared between two groups. ResultsAfter the course, there was no significant difference in theoretical scores between two groups (t = 1.103, P > 0.05). Scores in all stations of OSCE were higher in the experimental group than in the control group (t > 2.181, P < 0.05), as well as the satisfaction scores of learning, enthusiasm, organization, group interaction, individual affinity, workload and examination (|t| > 3.781, P < 0.001). ConclusionThe teaching pedagogy based on the OBE-CDIO model can improve practical competence and teaching satisfaction among postgraduate students majoring in exercise rehabilitation training.

T7 RNA polymerase (T7 RNAP) is one of the simplest known RNA polymerases. Its unique structural features make it a critical model for studying the mechanisms of RNA synthesis. This review systematically examines the static crystal structure of T7 RNAP, beginning with an in-depth examination of its characteristic “thumb”, “palm”, and “finger” domains, which form the classic “right-hand-like” architecture. By detailing these structural elements, this review establishes a foundation for understanding the overall organization of T7 RNAP. This review systematically maps the functional roles of secondary structural elements and their subdomains in transcriptional catalysis, progressively elucidating the fundamental relationships between structure and function. Further, the intrinsic flexibility of T7 RNAP and its applications in research are also discussed. Additionally, the review presents the structural diagrams of the enzyme at different stages of the transcription process, and through these diagrams, it provides a detailed description of the complete transcription process of T7 RNAP. By integrating structural dynamics and kinetics analyses, the review constructs a comprehensive framework that bridges static structure to dynamic processes. Despite its advantages, T7 RNAP has a notable limitation: it generates double-stranded RNA (dsRNA) as a byproduct. The presence of dsRNA not only compromises the purity of mRNA products but also elicits nonspecific immune responses, which pose significant challenges for biotechnological and therapeutic applications. The review provides a detailed exploration of the mechanisms underlying dsRNA formation during T7 RNAP catalysis, reviews current strategies to mitigate this issue, and highlights recent progress in the field. A key focus is the semi-rational design of T7 RNAP mutants engineered to minimize dsRNA generation and enhance catalytic performance. Beyond its role in transcription, T7 RNAP exhibits rapid development and extensive application in fields, including gene editing, biosensing, and mRNA vaccines. This review systematically examines the structure-function relationships of T7 RNAP, elucidates the mechanisms of dsRNA formation, and discusses engineering strategies to optimize its performance. It further explores the engineering optimization and functional expansion of T7 RNAP. Furthermore, this review also addresses the pressing issues that currently need resolution, discusses the major challenges in the practical application of T7 RNAP, and provides an outlook on potential future research directions. In summary, this review provides a comprehensive analysis of T7 RNAP, ranging from its structural architecture to cutting-edge applications. We systematically examine: (1) the characteristic right-hand domains (thumb, palm, fingers) that define its minimalistic structure; (2) the structure-function relationships underlying transcriptional catalysis; and (3) the dynamic transitions during the complete transcription cycle. While highlighting T7 RNAP’s versatility in gene editing, biosensing, and mRNA vaccine production, we critically address its major limitation—dsRNA byproduct formation—and evaluate engineering solutions including semi-rationally designed mutants. By synthesizing current knowledge and identifying key challenges, this work aims to provide novel insights for the development and application of T7 RNAP and to foster further thought and progress in related fields.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Ischemic stroke (IS) ranks as a leading cause of death and disability globally. The blood-brain barrier (BBB) poses significant challenges for effective drug delivery to brain tissues. Recent decades have seen the development of targeted nanomedicine and biomimetic technologies, sparking substantial interest in biomimetic drug delivery systems for treating IS. These systems are devised by utilizing or replicating natural cells and their derivatives, offering promising new pathways for detection and transport across the BBB. Their multifunctionality and high biocompatibility make them effective treatment options for IS. In addition, the incorporation of engineering techniques has provided these biomimetic drug delivery systems with active targeting capabilities, enhancing the accumulation of therapeutic agents in ischemic tissues and specific cell types. This improvement boosts drug transport and therapeutic efficacy. However, it is crucial to thoroughly understand the advantages and limitations of various engineering strategies employed in constructing biomimetic delivery systems. Selecting appropriate construction methods based on the characteristics of the disease is vital to achieving optimal treatment outcomes. This review summarizes recent advancements in three types of engineered biomimetic drug delivery systems, developed from natural cells and their derivatives, for treating IS. It also discusses their effectiveness in application and potential challenges in future clinical translation.
Humans ; Drug Delivery Systems/methods* ; Ischemic Stroke/drug therapy* ; Animals ; Blood-Brain Barrier/metabolism* ; Stroke/drug therapy*