BACKGROUND:The biomechanical analysis of scoliosis cases is limited,with only independent analysis focusing on the spine or lower limbs,thus lacking a comprehensive evaluation of the multidimensional body.As a result,it becomes challenging to reflect the movement relationship between the trunk and lower limbs during daily activities,which hinders comprehensive clinical treatment guidance. OBJECTIVE:To explore the relationship between different segments of the spine and the kinematics/kinetics of the lower limbs during gait activities by measuring spinal kinematics in scoliosis patients,to provide a comprehensive and multi-level assessment of the biomechanical differences between scoliosis patients and the normal population,consequently offering evidence-based guidance for the prevention and treatment of scoliosis. METHODS:A cross-sectional study was conducted from July 2020 to June 2021 at the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine in Fuzhou University City.A total of 28 scoliosis patients and 28 normal individuals in the same age group were included.Three-dimensional motion capture system was used to capture gait kinematic data at a sampling frequency of 100 Hz.Two force plates(AMTI 400600,sampling frequency 1 500 Hz)were embedded in a 10-meter-long 2.4-meter-wide level ground walkway(with an effective data collection length of 4 m)to collect kinetic data.The differences in spatial-temporal parameters,kinematics,and kinetics of gait between the two groups were compared.Immediately after inclusion,all subjects underwent full spinal X-ray measurements to compare the differences between the scoliosis and normal groups. RESULTS AND CONCLUSION:(1)Patients with scoliosis exhibited reduced relative rotational range of motion between the shoulder and trunk,as well as between the thorax and pelvis,compared to the normal group(P<0.05).However,the rotational range of motion in the pelvis was larger in patients with scoliosis compared to the normal group(P<0.05).(2)Patients with scoliosis showed decreased range of motion in the hip and knee joints,as well as reduced peak torque in hip joint flexion and extension,and lower peak values of ground reaction forces in the concave and convex directions,in comparison to the normal group(P<0.05).(3)Patients with scoliosis demonstrated greater asymmetry indices in knee joint range of motion,relative rotational range of motion between the shoulder and trunk,and between the thorax and pelvis,when compared to the normal group(P<0.05).(4)These findings illustrate a rigid movement pattern among the shoulder,thorax,and pelvis in patients with scoliosis during level walking.There is a reduction in range of motion in the hip and knee joints,as well as decreased peak torque values in hip joint flexion and extension,and ground reaction forces in the concave and convex directions.These characteristics can serve as foundational elements for assessing rehabilitation and developing treatment plans.

BackgroundAs a high prevalence disorder， schizophrenia has caused significant burden to family and society due to the impairment of occupational and social function. Currently， the dominant vocational training model in China follows a paternalistic， clinician-led decision-making approach. Although it improves patients' social function to some extent， it undermines their autonomy and treatment adherence. Therefore， it is urgently necessary to explore a new intervention method to enhance treatment compliance and social function in patients. ObjectiveTo explore the impact of shared decision-making oriented vocational training on social function in hospitalized schizophrenia patients， so as to provide references for rehabilitation interventions. MethodsA total of 68 patients diagnosed with schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10） criteria were consecutively enrolled from January to June 2024 at The Third People's Hospital of Wenjiang Distric， Chengdu. Participants were randomly allocated into the research group （n=34） and the control group （n=34） using a random number table method. Both groups received routine rehabilitation training， while the research group received shared decision-making oriented vocational training for 12 weeks， 2 times a week for 2 hours each time. Before and at the 4^th and 12^th week of intervention， two groups were evaluated by General Self-Efficacy Scale （GSES）， Stigma Scale for Mental Illness （SSMI）， Scale of Social function of Psychosis Inpatients （SSFPI） and Inpatient Psychiatric Rehabilitation Outcome Scale （IPROS）. ResultsA total of 63 participants completed the study， with 30 cases in the research group and 33 cases in the control group. Repeated measures ANOVA revealed statistically significant time effects and interaction effects in both groups for GSES， SSMI， SSFPI and IPROS scores （F=20.451， 16.022； 26.193， 12.944； 23.957， 5.023； 11.776， 3.985， P<0.05 or 0.01）， while no significant group effects were observed （F=0.188， 0.742， 1.878， 0.474， P>0.05）. At the 12^th week of intervention， there were statistically significant differences in GSES， SSMI， SSFPI and IPROS scores between the two groups. ConclusionShared decision-making oriented vocational training may help to improve social function in patients with schizophrenia. ［Funded by 2023 Chengdu Medical Research Project （number， 2023468）］

Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

OBJECTIVES: This study aimed to investigate the incidence, imaging characteristics, and clinical manifestations of the eruption failure of deciduous molars using panoramic radiographs to provide a foundation for diagnosis and treatment in this population. METHODS: This study retrospectively reviewed panoramic radiographs of children aged 4-8 years obtained from Stomatology Hospital, Zhejiang University School of Medicine between January 2021 and December 2023. A total of 31 331 subjects were included for the radiographic assessment of the tooth eruption failure of deciduous molars. Incidence, radiographic characteristics, and associated complications were documented. Statistical analysis was performed using SPSS 26.0. RESULTS: The incidence of the eruption failure of deciduous molars among children aged 4-8 years was 0.94% (296/31 331). The rate was 1.55 times higher in females than in males, demonstrating a significant gender difference (P<0.001). Among the affected deciduous molars, mandibular first deciduous molars accounted for 76.4%, followed by the mandibular second deciduous molars (13.8%), and the maxillary deciduous molars collectively comprised 9.8%. The severity of eruption disorders was significantly associated with the mesial and distal tilting of adjacent teeth and elongation of the antagonist (P<0.001). CONCLUSIONS The incidence of the eruption failure of deciduous molars in children aged 4-8 years was 0.94%, with a high prevalence in females and a predilection for the mandible, particularly the mandibular first deciduous molar. For deciduous molars with severe eruption failure, early intervention is crucial to mitigate complications such as malocclusion and space loss.
Humans ; Child ; Child, Preschool ; Tooth, Deciduous/diagnostic imaging* ; Female ; Molar/physiopathology* ; Male ; Retrospective Studies ; Tooth Eruption ; Radiography, Panoramic ; Incidence

This study focuses on the microenvironment acidification caused by metabolic abnormalities and ion balance disturbances during cardiac ischemia, which can significantly trigger drug resistance and thus limit the therapeutic effect of coronary heart disease. To address this issue, we delve into the potential role of carbonic anhydrase inhibitors in enhancing drug efficacy through pH regulation. First, we evaluated the potential of the carbonic anhydrase inhibitor acetazolamide, in combination with aspirin, in alleviating myocardial hypoxic injury in a cellular model. Through high-throughput screening techniques, we systematically analyzed the synergistic effect of this drug combination and determined the optimal ratio. Next, we modified the structure of aspirin using acetazolamide as the structural basis, aiming to create novel derivatives with stronger myocardial protective activity. Using in vitro and in vivo models of myocardial hypoxic injury, we evaluated the biological activity and therapeutic efficacy of these derived compounds in detail. Animal experiments were approved by the Animal Ethics Committee of Southeast University (Ethics No. 20240109001). The results showed that the structurally modified aspirin derivatives exhibited significant synergistic effects in alleviating myocardial hypoxic injury. This study reveals the mechanism of action of carbonic anhydrase inhibitors in the treatment of coronary heart disease and provides experimental and theoretical evidence for the development of novel coronary heart disease treatment drugs, which has important guiding significance for drug design and coronary heart disease treatment strategies.

Objective:To compare the results of invasive prenatal diagnosis and preimplantation genetic testing (PGT) and explore the underlying mechanism.Methods:Clinical data of pregnant women undergoing PGT and invasive prenatal diagnosis at the Sixth Affiliated Hospital of Sun Yat-sen University from January 2019 to December 2022 were collected. The results of PGT and invasive prenatal diagnosis were compared, and the outcomes of pregnancies were followed up. This study has been approved by the Medical Ethics Committee of the the Sixth Affiliated Hospital of Sun Yat-sen University (No. 2022SLYEC-491).Results:A total of 172 couples were included in this study, and 26 non-targeted variants were discovered upon prenatal diagnosis, including 10 cases (38.5%) by chromosomal karyotyping, 15 (57.7%) by chromosomal microarray analysis (CMA), and 1 (3.8%) by whole exome sequencing. The 10 karyotypic anomalies had included 6 chromosomal polymorphisms, 2 chromosomal mosaicisms, 1 paternally derived translocation, and 1 missed maternal chromosomal inversion. CMA has identified 15 copy number variations (CNVs), which included 11 microdeletions and microduplications, 3 loss of heterozygosity, and 1 low-level mosaicism of paternal uniparental disomy. One CNV was classified as pathogenic, and another one was likely pathogenic, whilst the remaining 13 were classified as variants of uncertain significance. Therefore, 8.7% of CNVs was detected by invasive prenatal diagnosis after PGT. 92.3% (24/26) of the non-targeted variants have been due to technological limitations of next-generation sequencing (NGS).Conclusion:Invasive prenatal diagnosis after PGT can detect non-targeted variants, which may further reduce the incidence of birth defects.

Magnesium-doped calcium silicate(CS)bioceramic scaffolds have unique advantages in mandibular defect repair;however,they lack antibacterial properties to cope with the complex oral microbiome.Herein,for the first time,the CS scaffold was functionally modified with a novel copper-containing polydopamine(PDA(Cu2+))rapid deposition method,to construct internally modified(*P),externally modified(@PDA),and dually modified(*P@PDA)scaffolds.The morphology,degradation behavior,and mechanical properties of the obtained scaffolds were evaluated in vitro.The results showed that the CS*P@PDA had a unique micro-/nano-structural surface and appreciable mechanical resistance.During the prolonged immersion stage,the release of copper ions from the CS*P@PDA scaffolds was rapid in the early stage and exhibited long-term sustained release.The in vitro evaluation revealed that the release behavior of copper ions ascribed an excellent antibacterial effect to the CS*P@PDA,while the scaffolds retained good cytocompatibility with improved osteogenesis and angiogenesis effects.Finally,the PDA(Cu2+)-modified scaffolds showed effective early bone regeneration in a critical-size rabbit mandibular defect model.Overall,it was indicated that considerable antibacterial property along with the enhancement of alveolar bone regeneration can be imparted to the scaffold by the two-step PDA(Cu2+)modification,and the convenience and wide applicability of this technique make it a promising strategy to avoid bacterial infections on implants.

Objective:To explore the characteristics of natural foci of hemorrhagic fever with renal syndrome (HFRS) in Gansu Province.Methods:The information of HFRS case data and rodent density monitoring data from 2012 to 2022 in Gansu Province were collected and epidemiological methods were used to analyze and investigate the characteristics of the epidemic focus.Results:A total of 869 cases of HFRS were reported, and four patients died from 2012 to 2022. The annual incidence rate is between 0.05 per 100 000 and 1.21 per 100 000. The cases were mainly distributed in the eastern, southeast, southern, and south of the central region of Gansu Province. Most cases were distributed between age 20-60, and the sex ratio was 1.85∶1 (564∶305). Most cases were farmers (61.80%, 537/869), herdsmen (19.79%,172/869) and students (6.33%, 55/869). In a wild rat-type epidemic focus,the incidence peak was from November to January of the following year. The natural rodent hosts of HFRS were Rattus norvegicus, Apodemus agrarius, and Mus musculus. The hantaan virus carriage rates were 2.79% (21/754), 0.42% (5/1 179) and 0.31% (2/643),respectively. Three epidemic foci were defined: two derived from the Pingliang and Gannan prefecture new outbreaks epidemic foci, respectively, while the other was the residue of the Dingxi epidemic focus. Conclusions:The southern, south of the central region and eastern part of Gansu Province are current key HFRS epidemic foci dominated by Rattus norvegicus, Apodemus agrarius, and Mus musculus, respectively. The virus genotype is hantaan virus. Case reporting areas should strengthen epidemic monitoring; the key epidemic areas should strengthen and implement various prevention and control measures to reduce the harm caused by HFRS.

Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P＜0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.

From September 26 to 28,2024,the 11th Korean International Gastric Cancer Week(KINGCA WEEK 2024),a prestigious academic conference in the field of gastric cancer,was held in Seoul.Organized by the Korean Gastric Cancer Association,the conference featured one main venue,18 sub-venues,and 16 thematic symposiums,including 100 invited presentations and four keynote speeches,attracting 788 experts and scholars from around the world.Additionally,the conference set 16 themes and received 425 submissions from 24 countries,including Republic of Korea,China,Japan,and the United States.After a review process,365 submissions were accepted,which included eight plenary oral presentations,78 oral reports,and 279 poster presentations.The conference covered many hot topics in gastric cancer diagnosis and treatment,with a particular focus on surgical-related areas such as treatment strategies for metastatic gastric cancer,an international consensus meeting on the conversion therapy for stage Ⅳgastric cancer,future research directions of the Korean Laparoendoscopic Gastrointestinal Surgery Study Group,the development of new surgical instruments and equipment,and key issues in lymph node dissection,resection,and reconstruction during minimally invasive gastric cancer surgeries.Furthermore,our team was invited to present two oral reports on"the application of artificial intelligence in minimally invasive gastric cancer surgery".This report aims to detail the dynamics and hotspots related to surgical treatment for gastric cancer,providing valuable references and insights for domestic surgical peers.