ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

With the extensive application of nuclear technology in industry, agriculture, and medicine, the safety issues associated with neutron radiation have become increasingly prominent. Due to their high penetrability and strong ionization effect, neutrons can cause serious health risks by directly damaging DNA or inducing secondary γ radiation. Therefore, the neutron radiation protection has become a core challenge in radiation protection, especially the research and development of neutron shielding materials. To ensure the safe development of nuclear technology, neutron shielding materials are indispensable and constitute a fundamental core technology for radiation protection. This paper reviews the theory of neutron radiation protection and the research progress of neutron shielding materials, with a focus on the current application status and existing problems of neutron shielding materials. This article also discusses the future development trends. This review aims to provide theoretical support and technical references for the safe application and development of nuclear technology.

Abstract The development of effective school health education in the key to enhancing students health literacy. In 2024, the United States issued the National Health Education Standards (NHES) (3rd Edition), which established a goal system centered on health literacy. Its features included a hierarchical, continuous and holistic design of the standards, an emphasis on skills based health education, a focus on overall health and well being, and promotion of a diversified evaluation system. Through a textual analysis of the U.S. NHES (2024), four insights have been gained: integrating health literacy into the core competencies of disciplines to develop localized health education standards; creating a health education knowledge graph based on backward design to improve content structure; deepening the "disciplinary penetration + thematic education +" model, emphasizing students deep participation and performance in implementation; and improving the health education evaluation system by using digital and intelligent technologies for precise intervention.These efforts aim to promote students holistic development and advance educational modernization.

Alopecia areata （AA） is a common hair loss disorder， and the core pathogenesis is the internal gene-ration of turbid toxin caused by qi movement disorder in the liver， spleen， and kidney. Turbid toxin serves as both a pivotal etiological trigger and a pathological driver of disease exacerbation. Clinically， AA can be classified into four principal patterns， including liver constraint with spleen deficiency， internal accumulation of damp-heat， liver-kidney depletion， and qi-blood depletion. Therapeutic strategies prioritize clearing and resolving turbid toxin while regulating the qi movement of the liver， spleen， and kidney. Accordingly， different formulas were applied. Self-formulated Shugan Jianpi Huazhuo Formula （疏肝健脾化浊方） is suggested to drain dampness， resolve turbidity， and unblock qi movement. Self-formulated Sanjiao Fenxiao Jiedu Formula （三焦分消解毒方） can be used to clear heat， drain dampness and resolve toxin. Self-formulated Zishen Yanggan Toudu Decoction （滋肾养肝透毒汤） can clear and vent latent toxins， while Self-formulated Guiqi Shengfa Didu Formula （归芪生发涤毒方） is employed to tonify qi and blood， purge toxins， and regenerate vitality. By differentiating and treating AA based on the functional patterns of the liver， spleen， and kidney， this approach expands the application scope of the turbid toxin theory and provides valuable insights for treatment of AA.

Objective:To prepare the nanodrug paclitaxel dimer(PTX2)-loaded nanoparticles(NPs)using the block copolymer 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-polyethylene glycol 2000,(DSPE-PEG2000),and to explore the killing effect of PTX2 NPs on the human lung cancer A549 cells and its influence on apop to tis.Methods:The PTX2 NPs were prepared using nanoprecipitation method.Dynamic light scattering(DLS)was employed to determine the particle size distribution,and transmission electron microscope(TEM)was used to observe the ultrastructure of the nanoparticles.After treatment of 0 and 10 mmol·L-1 dithiothreitol(DTT),dialysis method was used to evaluate the in vitro drug release profile of PTX2 NPs.The cell counting kit-8(CCK-8)method was used to assess the survival rates of the A549 cells after treated with PTX2 and PTX2 NPs with different concentrations(0.000 1,0.001 0,0.010 0,0.100 0,and 1.000 0 μmol·L-1).The A549 cells were divided into control group,PTX2 group,and PTX2 NPs group.Live/dead staining method was used to detect the survival of the A549 cells in various groups,and flow cytometry was used to detect the apoptotic rates of the A549 cells in various groups.Results:The mean hydrodynamic diameter of PTX2 NPs was determined to be 144.7nmbyDLS.TheTEM imaging confirmed uniform spherical morphology of PTX2 NPs.In a reductive environment,the PTX2 NPs exhibited continuous drug release with total paclitaxel(PTX)release of 84％within 72 h.The results of CCK-8 method showed that both PTX2 and PTX2 NPs inhibited the proliferation of A549 cells in a dose-dependent manner.When the concentrations of PTX＜0.01 μmol·L-1,compared with PTX2 group,the survival rates of A549 cells in PTX2 NPs group were significantly decreased(P＜0.01 or P＜0.001).The live/dead staining results showed that compared with PTX2 group,the number of red fluorescence-labeled dead cells in PTX2 NPs group was increased.The flow cytometry results demonstrated that compared with control group and PTX2 group,the apoptotic rates of the A549 cells in PTX2 NPs group were significantly increased(P＜0.05 orP＜0.01).Conclusion:The PTX2-loaded nanoparticles PTX2 NPs are successfully prepared which exhibits responsive drug release and demonstrates a more significant killing effect on the human lung cancer A549 cells compared to PTX2.

Sensorineural hearing loss is one of the most common sensory disorders. In recent years, auditory neuropathy spectrum disorders caused by mutations in the OTOF gene have garnered significant attention worldwide, marking it as the first deafness gene with breakthroughs in gene therapy. Most patients with OTOF gene mutations present with stable, congenital, or prelingual onset of hearing loss, which can range from severe to profound and even complete hearing loss. However, a minority of patients may exhibit mild to moderate progressive hearing loss or temperature-sensitive hearing loss. This review further explores the genotype-phenotype relationship of the OTOF gene based on reported cases in China and abroad. Additionally, we analyze the characteristics of the natural history of OTOF gene mutations within the Chinese population. This study aims to provide a reference for the clinical diagnosis, evaluation, and treatment of hearing loss associated with OTOF gene mutations.
Humans ; Mutation ; Phenotype ; Genotype ; Hearing Loss, Sensorineural/genetics* ; Membrane Proteins/genetics*

Clear aligner treatment is a novel technique in current orthodontic practice. Distinct from traditional fixed orthodontic appliances, clear aligners have different material features and biomechanical characteristics and treatment efficiencies, presenting new clinical challenges. Therefore, a comprehensive and systematic description of the key clinical aspects of clear aligner treatment is essential to enhance treatment efficacy and facilitate the advancement and wide adoption of this new technique. This expert consensus discusses case selection and grading of treatment difficulty, principle of clear aligner therapy, clinical procedures and potential complications, which are crucial to the clinical success of clear aligner treatment.
Humans ; Consensus ; Orthodontic Appliance Design ; Orthodontic Appliances, Removable ; Tooth Movement Techniques/methods* ; Malocclusion/therapy* ; Orthodontics, Corrective/instrumentation*

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.