Neurodegenerative diseases (NDDs) are a group of heterogeneous neurological disorders that can cause progressive loss of neurons in the central nervous system or peripheral nervous system, resulting in a decline in motor function. Motion capture, as a high-precision and high-resolution technology for capturing human motion data, drives NDDs motor assessment to effectively extract kinematic features and thus assess the patient's motor ability or disease severity. This paper focuses on the recent research progress in motor assessment of NDDs driven by motion capture data. Based on a brief introduction of NDDs motor assessment datasets, we categorized the assessment methods into three types according to the way of feature extraction and processing: NDDs motor assessment methods based on statistical analysis, machine learning and deep learning. Then, we comparatively analyzed the technical points and characteristics of the three types of methods from the aspects of data composition, data preprocessing, assessment methods, assessment purposes and effects. Finally, we discussed and prospected the development trends of NDDs motor assessment.
Humans ; Neurodegenerative Diseases/diagnosis* ; Machine Learning ; Biomechanical Phenomena ; Deep Learning ; Motion ; Motion Capture

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVE To evaluate the quality of evidence in the systematic evaluation/meta-analysis of traditional Chinese medicine （TCM） for diabetes retinopathy （DR） based on the GRADE system. METHODS Chinese and English databases were searched to obtain the relevant studies of systematic evaluation/meta-analysis of traditional Chinese medicine in the treatment of DR. The search time was from the establishment of each database to January 13th， 2024. According to the inclusion and exclusion criteria， literature screening was conducted. After extracting relevant information from the included literature， the GRADE system was used to evaluate the quality level of the evidence body in the included studies， and the evidence of the outcome indicators was integrated and summarized. RESULTS A total of 51 studies were ultimately included， encompassing 135 outcome indexes. Among these， 19 indicators （14.1%） were of high quality， 87 （64.4%） were of medium quality， 26 （19.3%） were of low quality， and 3 （2.2%） were of very low quality. Overall， the evidence quality of the outcome indicators in the included studies was medium to low quality. The integrated results of evidence on the efficacy of outcome indexes showed that compared with conventional Western medicine， calcium dobesilate or placebo， TCM had significant advantages in improving overall efficacy， reducing bleeding spot area， reducing macular foveal thickness， and increasing visual improvement rate. In addition，the combination of TCM and conventional Western medicine or calcium dobesilate was significantly more effective than using conventional Western medicine or calcium dobesilate alone. CONCLUSIONS The overall quality of the evidence in the systematic evaluation/meta-analysis study on the treatment of DR with TCM is medium to low quality. Based on existing research findings， TCM demonstrates good clinical efficacy in the treatment of DR.

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.

Objective To evaluate the effects of radioactive impurity nuclides in ⁹⁰Y glass microsphere on therapeutic dose during radioembolization of pancreatic cancer. To provide a reference for correction of the dose calculated for individuals with different pancreatic tumors. Methods In this study, the radioactive impurity nuclide composition of ⁹⁰Y glass microsphere samples was analyzed to determine the source term of Monte Carlo calculation. Then, according to the PET/CT medical imaging data of pancreatic cancer patients, the three-dimensional modeling software Solidworks 2020 was used to construct the real and personalized digital human digestive system model of pancreatic cancer patients at a resolution showing the vascular distribution in pancreas and tumor. Finally, the Monte Carlo program GATE 8.2 was used to simulate the three-dimensional radiation dose fields of radioactive impurity nuclides ⁹¹Y and ⁶⁵Zn from ⁹⁰Y glass microspheres in various tissues and organs. The three-dimensional dose fields were visualized to analyze the influence of radioactive impurity nuclides on therapeutic dose. Results The three-dimensional radiation dose fields of ⁹¹Y and ⁶⁵Zn from ⁹⁰Y glass microspheres demonstrated two dose extreme points. The maximum dose value of ⁹¹Y to tissue was 0.272 mGy and the maximum dose value of ⁶⁵Zn to tissue was 9.34 μGy, with average statistical errors of less than 3.2%. Conclusion The impact of radioactive impurity nuclides ⁹¹Y and ⁶⁵Zn in 90Y glass microsphere sample on therapeutic dose is minimal and can be neglected.

Objective To investigate the current situation and influencing factors of latent tuberculosis infection(LTBI)among close contacts of positive etiology pulmonary tuberculosis(PTB)patients,provide basis for formula-ting intervention measures for LTBI.Methods A multi-stage stratified cluster random sampling method was used to select close contacts of positive etiology PTB patients from 39 districts and counties in Chongqing City as the study objects.Demographic information was collected by questionnaire survey and the infection of Mycobacterium tuberculosis was detected by interferon gamma release assay(IGRA).The influencing factors of LTBI were analyzed by x2 test and binary logistic regression model.Results A total of 2 591 close contacts were included,the male to female ratio was 0.69∶1,with the mean age of(35.72±16.64)years.1 058 cases of LTBI were detected,Myco-bacterium tuberculosis latent infection rate was 40.83％.Univariate analysis showed that the infection rate was dif-ferent among peoples of different age,body mass index(BMI),occupation,education level,marital status,wheth-er they had chronic disease or major surgery history,whether they lived together with the indicator case,and whether the cumulative contact time with the indicator case ≥250 hours,difference were all statistically significant(all P＜0.05);infection rate presented increased trend with the increase of age and BMI(both P＜0.001),and decreased trend with the increase of education(P＜0.05).Logistic regression analysis showed that age 45-54 years old(OR=1.951,95％CI:1.031-3.693),age 55-64 years old(OR=2.473,95％CI:1.279-4.781),other occupations(OR=0.530,95％CI:0.292-0.964),teachers(OR=0.439,95％CI:0.242-0.794),students(OR=0.445,95％CI:0.233-0.851),junior high school education or below(OR=1.412,95％CI:1.025-1.944),BMI＜18.5 kg/m2(OR=0.762,95％CI:0.586-0.991),co-living with indicator cases(OR=1.621,95％CI1.316-1.997)and cumu-lative contact time with indicator cases ≥250 hours(OR=1.292,95％CI:1.083-1.540)were the influential fac-tors for LTBI(all P＜0.05).Conclusion The close contacts with positive etiology PTB have a high latent infection rate of Mycobacterium tuberculosis,and it is necessary to pay attention to close contacts of high age,farmers,and frequent contact with patients,and take timely targeted interventions to reduce the risk of occurrence of disease.

Trichinosis is a global food-borne zoonotic parasitic disease caused by Trichinella spiralis(T.spiralis),which causes serious harm to animal production,and the public health safety of humans and animals.T.spiralis has a complex devel-opment history,and its entire life cycle is completed in the same host.To coexist with the host,it has evolved various immune escape mechanisms for avoiding immune clearance by the host,thus establishing long-term chronic infection.In this study,to aid in understanding the pathogenic mechanism of T.spiralis,the immune escape mechanism of Trichinella is discussed from three aspects:the molecular role of antigens in various stages,the immune regulatory effect on the host,and the formation of cysts to generate immune isolation.

AIM To study the chemical constituents from Ligularia duciformis(C.Winkl.)Hand.-Mazz.and their anti-inflammatory activities.METHODS The ethanol extract from L.duciformis was isolated and purified by HPLC,gel column and silica gel chromatography,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The anti-inflammatory activities of the compounds in vitro was determined by CCK-8 and Griess methods.RESULTS Eighteen compounds were isolated and identified as 14-acetoxy-7β-senecioyloxy-1-(2-methylbutyryloxy)-notonipetranone(1),rel-(1R,3αS,5R,6S,7R,7αS)-1-[(1S)-1-(acetyloxy)ethyl]octahydro-6-[(2-methylbutanoyl)oxy]-4-methylidene-2-oxo-7-(propan-2-yl)-1H-inden-5-yl(2E)-3-methylpent-2-enoate(2),tussilagone(3),petasipaline B(4),8α-hydroxy-4(15),11-eudesmadiene(5),lupenone(6),lupeol(7),(3[3)-lup-20(29)-en-3-yl stearate(8),pinoresinol monoglucoside(9),isoeucommin A(10),isoline(11),uridine(12),tetratriacontanol(13),palmitic acid(14),tridec-1-ene(15),cis-octadec-9-enoic acid(16),methyl-α-D-fructofuranoside(17),β-sitosterol(18).Compounds 1-6,9-11 and 14 showed inhibitory activities against LPS-induced NO production in RAW264.7 cells.CONCLUSION Compounds 3-6,8-10,12-17 are first isolated from this plant.Compounds 1-6,9-11 and 14 have anti-inflammatory activities.