Objective: To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students. Methods: From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model. Results: The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms. Conclusions The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.

The application of immunosuppressants has significantly reduced the incidence rate of rejection reaction after liver transplantation， but the clinical efficacy of immunosuppressants is greatly affected by individual differences between patients. This article systematically reviews the recent research advances in the interaction between immunosuppressants and gut microbiota， with a focus on the regulatory role and mechanism of intestinal microflora communities on the efficacy of immunosuppressants. Studies have shown that intestinal microbiome is one of the key factors influencing the efficacy of immunosuppressive therapy after liver transplantation. This review aims to provide a theoretical basis for in-depth research in this field and provide new insights for developing individualized immunosuppressive treatment regimens based on the regulation of intestinal microflora.

Occlusal rehabilitation is an effective means of treating tooth wear, edentulous jaws and other oral diseases. Among them, full-mouth fixed occlusal reconstruction can effectively restore aesthetics and function, but the complexity of the clinical process, the high sensitivity of the technique, and the high incidence of various complications have always drawn much attention. With the application and development of digital technology in occlusal rehabilitation, the treatment outcome has been improved compared with traditional treatment. However, there are many kinds of digital technology with different efficacy, how to build an efficiently standardized digital clinical technical solution is a current difficulty. Therefore, combined with the long-term work of the department of prosthodontics in our hospital, in this paper, the minimum (occlusal perception of thickness) and maximum (centric relation) geometric quantities which should be paid attention to during reconstruction are put forward. We systematically organized the clinical procedure of digital full-mouth fixed occlusal rehabilitation used in our department for a long time. In conclusion, a 5-stage 19-step or n-step solution (5-19N for short) characterized by "from large to small" restorative space splitting logic is proposed. It has a certain reference value for the future use of digital technology to deal with complex occlusal rehabilitation cases.
Humans ; Dental Occlusion ; Computer-Aided Design ; Mouth, Edentulous/rehabilitation*

Artificial intelligence(AI)is reconstructing drug quality control systems with unprecedented depth.With the rapid development of the traditional Chinese medicine(TCM)industry,the quality regulation of TCM has garnered increasing attention.The efficacy and safety of TCM directly impact public health,making it imperative to enhance the scientific rigor and effectiveness of its quality control.In recent years,the application of AI technology has expanded across various fields,and its potential in TCM quality regulation has gradually been recognized.Cur-rently,AI has demonstrated advantages in multiple stages of TCM production,including cultivation and planting,authenticity identification of decoction pieces,compliance review of manufacturing processes,market circulation monitoring,and risk assessment.However,despite existing research achievements,challenges such as limited technological adoption,low standardization,and insufficient data sharing persist.This paper provides an in-depth review of innovative AI applications in TCM quality control,comprehensively analyzes their effectiveness and future prospects,and proposes a novel"AI-Digital Sensory-Blockchain"tri-synergistic quality control paradigm based on domestic and international research advancements.Furthermore,it explores potential future research directions to advance the modernization of TCM quality regulation,thereby achieving higher levels of safety assurance and scien-tifically robust supervision.

Objective:To investigate the feasibility of segmented total marrow and lymphoid irradiation(TMLI)using Helical TomoTherapy(HT)in adults,and to analyze the impact of positional errors in the treatment on the actually received dose.Methods:Imaging data from four adult patients with acute myeloid leukemia were treated at the First Medical Center of the Chinese PLA General Hospital between November 2022 and December 2024 were retrospectively selected.The prescribed dose was 12 Gy in 3 fractions,and the heights range of patient was from 162 to 178 cm.The planning target volume(PTV)included the entire bone marrow and lymphatic drainage regions.The mid-femur was used as the dividing landmark,and the segmented location of head-in first(upper segmentation)and foot-in first(lower segmentation)were adopted to design plan for each segmentation.The upper segmentation used helical tomotherapy,and the lower segmentation used tomo direct therapy.The dosimetric parameters of planning target volume,and organ at risk(OAR)included eye lens,testicles and lungs were analyzed.The located computed tomography(CT)images of patients were used to simulate the changes of dosimetric parameters of each planning target region and OAR when the positions of patients moved 3,5,10 and 15 mm to outside of rack aperture.The changes of dose distribution of connection region of upper and lower segmentation were further analyzed.Results:The segmented irradiation technique can better achieve the cover(95%)of whole target region of TMLI under the condition of protecting normal organs.Under the condition with different position errors,the cover rate of the most of target region significant decreased.The largest dose of right lens increased 9.272%than primary under the 5 mm position error,and that of left and right lens increased respectively 40.199%and 67.898%under the 10 mm position error,and the max dose and mean dose of testicles increased respectively 5.847%and 5.240%under the 3mm position error.The mean dose of whole lung increased all under the error at different grades,which increased 3.021%under the 10mm position error.The non-uniformity of dose distribution of connection region increased after the position error was introduced,and the largest variation range reached to 4 Gy.Conclusion:The technique of segmented radiotherapy of Helical Tomotherapy has feasibility for TMLI of adult.But the error of the position of patients can reduce the cover of target region,and decrease the control rate for target region,and can lead to the occurrences of excessive doses on eye lens,testicles,lung and other OAR at the same time,which can increase the probability of occurring OAR injury.It should be high pay attention in treatment and implementation.

Objective:To analyze the prevalence of the Dabie bandavirus among rats in Taipusi Banner, Xilingol League, Inner Mongolia Autonomous Region.Methods:The cytochrome b gene for the identification of rat species was amplified. Real-Time RT-PCR and RT-PCR were used to amplify and sequence DBV positive rat tissues and detected by XilinGol League Center for Disease Control and Prevention, and the gene evolution was analyzed.Results:The rat was identified as Spermophilus dauricus. Through molecular detection on 20 samples, 15 samples showed positive result in Real Time RT-PCR nucleic acid test, and 7 samples showed positive result in RT-PCR nucleic acid test. Seven base sequences were obtained through sequencing, and they were compared with those in the National Center for Biotechnology Information (NCBI) of the United States by BLAST. It was determined that they were the S gene sequences of DBV. It has been uploaded to GenBank with serial numbers PV231886, PV231887 and PV231888.Conclusions:DBV was detected for the first time in the mice of Inner Mongolia Autonomous Region. In future work, monitoring of DBV carried by rodents and ectoparasites such as ticks and fleas in this area should be strengthened. Publicity and education on severe fever with thrombocytopenia syndrome should be carried out in this area to improve the local medical system′s ability to identify such cases, ensuring early detection, early diagnosis, and early treatment, and reducing the occurrence of human cases and clustered outbreaks.

Objective To investigate the spectrum-efficacy relationship between the fingerprint of green tea extract and its pharmacological effects in intervention of neovascular age-related macular degeneration(nAMD),explore the phar-macodynamic material basis,and identify key active components.Methods The fingerprint of green tea extract was es-tablished using UPLC-Q-Exactive Orbitrap MS.Hierarchical cluster analysis and orthogonal partial least squares discrimi-nant analysis were used to explore differences in chemical composition among green tea samples from different origins.A zebrafish nAMD model induced by cobalt chloride was established to evaluate the pharmacological activity of green tea ex-tract in nAMD intervention.Partial least squares regression analysis(PLSR)and grey relational analysis(GRA)were em-ployed to study the spectrum-efficacy correlation,comprehensively analyze the pharmacodynamic material basis of green tea in AMD intervention,and screen for key active components.Results A fingerprint detection method for green tea ex-tract was successfully established,and 31 chemical components were qualitatively and quantitatively characterized.Hierar-chical cluster analysis and orthogonal partial least squares discriminant analysis classified 50 batches of green tea samples into two major categories,identifying 15 key differential components.Pharmacological experiments demonstrated that green tea extract inhibited abnormal vascular growth in the zebrafish retina caused by cobalt chloride.Through PLSR and GRA,six components of green tea extract were found to be significantly correlated with pharmacological activity and showed high variable importance in projection:quinic acid,epicatechin,gallocatechin,epigallocatechin,gallocatechin gal-late,and epigallocatechin gallate.Conclusion This study comprehensively characterized 31 chemical components in green tea.Based on the nAMD zebrafish model and spectrum-effect correlation theory,PLSR and GRA analyses were ap-plied to accurately identify quinic acid,epicatechin,gallocatechin,epigallocatechin,gallocatechin gallate,and epigallocate-chin gallate as the key effective substances in green tea for intervening in nAMD.This provides a foundation for the devel-opment of new drugs with therapeutic potential against nAMD,and offers data support for establishing a comprehensive quality evaluation system for green tea.

Objective:To investigate the key genetic mutations during the progressive disease (PD) /leukemic transformation (LT) course in MDS by analyzing the dynamic changes of genetic mutations in patients with myelodysplastic neoplasms (MDS) with or without PD/LT.Methods:This study enrolled 84 patients with sequential MDS from May 2019 to August 2023 at ZhongDa Hospital Southeast University and used the next generation sequencing to detect gene mutations. The dynamic changes of genetic mutations in patients with MDS with or without PD/LT were retrospectively analyzed.Results:①This study analyzed data from 84 patients diagnosed with MDS with a median age of 63 (range: 31-95) years and consisting of 51 males and 33 females. Participants were distributed to the PD cohort ( n=20), LT cohort ( n=13), and non-PD/LT cohort ( n=51). Patients from the PD/LT cohorts demonstrated a higher proportion of bone marrow blasts than the non-PD/LT cohort at the first sequencing (1.6% vs. 0.4%, P=0.013). ②The most frequently mutated genes that were detected at first sequencing were ASXL1 ( n=21, 25.0%), TP53 ( n=17, 20.2%), TET2 ( n=12, 14.3%), DNMT3A ( n=11, 13.1%), and U2AF1 ( n=11, 13.1%). Further, patients from the PD/LT cohorts exhibited a higher median number of mutated genes than the non-PD/LT cohort (2 vs.1, P=0.014) at first sequencing. TET2 (27.3% vs. 5.9%, P=0.010), SETBP1 (15.2% vs.2.0%, P=0.033), and RUNX1 (18.2% vs. 2.0%, P=0.013) mutations were enriched in the PD/LT cohorts than in the non-PD/LT cohort. ③The most frequently detected acquired mutations (Ⅰ mutations) and clonally expanded mutations (Ⅱ mutations) were TP53 ( n=9, 10.7%), TET2 ( n=7, 8.3%), ASXL1 ( n=7, 8.3%), and RAS pathway ( n=7, 8.3%). Furthermore, patients from the PD/LT cohorts showed a higher median number of Ⅰ/Ⅱ genes than the non-PD/LT cohort (2 vs. 0, P<0.001), and Ⅰ/Ⅱ RAS pathway (21.2% vs. 0, P=0.001), TP53 (27.3% vs. 0, P<0.001), and TET2 (18.2% vs. 2.0%, P=0.013) mutations were enriched in PD/LT cohorts than in the non-PD/LT cohorts. ④Most of the TP53 mutations (9/12, 75.0%) in PD/LT cohorts were Ⅰ/Ⅱ mutations, whereas all of the TP53 mutations in non-PD/LT cohort were clone-decrease mutations (Ⅲ mutations) (5/8, 62.5%) or clone-stable mutations (Ⅳ mutations) (3/8, 37.5%). Most of the RAS pathway mutations (7/8,87.5%) in the PD/LT cohorts were Ⅰ/Ⅱ mutations, whereas only one patient in the non-PD/LT cohort demonstrated RAS pathway mutations, which belonged to Ⅳ mutations. Conclusion:Patients from the PD/LT cohorts demonstrated a higher proportion of bone marrow blasts and a higher median number of mutations than the non-PD/LT cohort at first sequencing; TET2, SETBP1, and RUNX1 mutations were enriched in the PD/LT cohorts than in the non-PD/LT cohort at first sequencing. Patients from the PD/LT cohorts exhibited a higher number of Ⅰ/Ⅱ mutations than the non-PD/LT cohort. Further, Ⅰ/Ⅱ TP53, RAS pathway, and TET2 mutations were enriched in the PD/LT cohorts, and Ⅰ/Ⅱ TP53 and RAS pathway mutations may contribute to the PD/LT.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

To implement the instructions and directives of General Secretary Xi Jinping on important documents related to traditional Chinese medicine （TCM）， adhere to the equal emphasis on TCM and Western medicine， and promote mutual complementarity， win-win cooperation， and coordinated development between TCM and Western medicine， the China Association of Chinese Medicine has organized seminars on the clinical dominant diseases of TCM in multiple professional fields， achieving a series of results. The aim is to implement the research on dominant diseases of TCM described in the Law of the People's Republic of China on Traditional Chinese Medicine and the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance， Innovation and Development of Traditional Chinese Medicine， thus serving the construction of advantageous specialties， clinical talent cultivation， national scientific and technological layout， and academic innovation leadership. In the field of otolaryngology， the China Association of Chinese Medicine and many Chinese and Western medicine experts across the country have conducted multiple in-depth discussions and research. At the 10^th Clinical Dominant Disease Series Youth Salon， they have elaborated and demonstrated the basic and specific suggestions and consensus on the clinical advantages of TCM and integrated TCM and Western medicine in the treatment of allergic rhinitis （AR）， making great progress. However， there is still a lack of detailed research paths. Under the guidance of the China Association of Chinese Medicine and based on the TCM Dominant Disease Series Salon for AR， this study analyzed the difficulties encountered in AR diagnosis and treatment according to the occurrence and development law of AR. Based on the advantages and characteristics of AR diagnosis and treatment by TCM and integrated TCM and Western medicine， it explored the research paradigm and technological layout points of AR and put forward suggestions. The layout involved four aspects： Optimization of the AR diagnosis and treatment system， prevention and control of comorbidities， management of chronic diseases， and a platform for TCM inheritance. Additionally， suggestions for layout and research directions， expected goals and values， and priority levels for funding were proposed. The study is expected to provide a theoretical basis and development ideas for the future prevention and treatment of AR with TCM and integrated TCM and Western medicine and promote the high-quality development of TCM.