Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

OBJECTIVE To analyze the risk factors for severe adenovirus pneumonia(AP)in children and construct a nomogram.METHODS A total of 108 children with AP admitted to the Department of Infectious Diseases at Children's Hospital of Nanjing Medical University from Nov.2023 to Apr.2024 were selected and divided into a severe group(n=38)and a non-severe group(n=70)based on disease severity.Logistic regression analysis was used to identify the risk factors for severe AP in children.A nomogram was developed by R software,and its per-formance was evaluated by the receiver operating characteristic(ROC)curve,calibration curve and Hosmer-Lemeshow goodness-of-fit test.RESULTS Anemia(OR=4.370,95％CI:1.370-13.941,P=0.013),congenital heart disease(OR=4.036,95％CI:1.277-12.754,P=0.017),multiple infection(OR=4.984,95％CI:1.546-16.069,P=0.007)and pulmonary consolidation(OR=17.492,95％CI:5.288-57.864,P＜0.001)were identified as risk factors for severe AP in children.The area under the ROC curve of the nomogram for pre-dicting severe AP in children was 0.896(95％CI:0.838-0.954).The slope of calibration curve was close to 1,and the Hosmer-Lemeshow goodness-of-fit test yielded x2=7.754,P=0.355.CONCLUSIONS Anemia,congenital heart dis-ease,multiple infection and pulmonary consolidation are risk factors for severe AP in children.The constructed nomogram enables individualized prediction of severe AP risk in children,thereby guiding personalized interventions.

OBJECTIVE To analyze the risk factors for severe adenovirus pneumonia(AP)in children and construct a nomogram.METHODS A total of 108 children with AP admitted to the Department of Infectious Diseases at Children's Hospital of Nanjing Medical University from Nov.2023 to Apr.2024 were selected and divided into a severe group(n=38)and a non-severe group(n=70)based on disease severity.Logistic regression analysis was used to identify the risk factors for severe AP in children.A nomogram was developed by R software,and its per-formance was evaluated by the receiver operating characteristic(ROC)curve,calibration curve and Hosmer-Lemeshow goodness-of-fit test.RESULTS Anemia(OR=4.370,95％CI:1.370-13.941,P=0.013),congenital heart disease(OR=4.036,95％CI:1.277-12.754,P=0.017),multiple infection(OR=4.984,95％CI:1.546-16.069,P=0.007)and pulmonary consolidation(OR=17.492,95％CI:5.288-57.864,P＜0.001)were identified as risk factors for severe AP in children.The area under the ROC curve of the nomogram for pre-dicting severe AP in children was 0.896(95％CI:0.838-0.954).The slope of calibration curve was close to 1,and the Hosmer-Lemeshow goodness-of-fit test yielded x2=7.754,P=0.355.CONCLUSIONS Anemia,congenital heart dis-ease,multiple infection and pulmonary consolidation are risk factors for severe AP in children.The constructed nomogram enables individualized prediction of severe AP risk in children,thereby guiding personalized interventions.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To detect and study the genetic evolution and biological characteristics of the first imported Zika virus (ZIKV) in a suspected case from Singapore to Sichuan Tianfu airport for inbound transfer on June 28, 2024, and so to provide reference for prevention and control of ZIKV disease.Methods:Serum sample was collected from the inbound transfer passenger, we detected ZIKV RNA using real-time RT-PCR method. The whole genome sequence was obtained through target next-generation sequencing (tNGS). CLC Genomics Workbench software was used for sequence analysis and splicing, and MEGA 7.0 software was used for phylogenetic tree construction.Results:Real-time RT-PCR result showed that the serum sample was positive. The phylogenetic tree which was constructed based on the whole genome sequence of ZIKV indicated the Sichuan strain was located on Asian lineage. Gene homology analysis showed that the homology between Sichuan strain and Asian, African strains ranged from 84.4%-98.6%. The Sichuan strain showed unique molecular features of 139S, 982V and 2634M.Conclusions:The ZIKV strain in Sichuan inbound transfer passenger in June 2024 belongs to the Asian lineage, which agrees with the epidemiological investigation outcome.

The purpose of this study is to construct a muscle-specific synthetic promoter library, screen out muscle-specific promoters with high activity, analyze the relationship between element composition and activity of highly active promoters, and provide a theoretical basis for artificial synthesis of promoters. In this study, 19 promoter fragments derived from muscle-specific elements, conserved elements, and viral regulatory sequences were selected and randomLy connected to construct a muscle-specific synthetic promoter library. The luciferase plasmids pCMV-Luc and pSPs-Luc were constructed and transfected into the myoblast cell line C2C12. The activities of the synthesized promoters were evaluated by the luciferase activity assay. Two non-muscle-derived cell lines HeLa and 3T3 were used to verify the muscle specificity of the highly active promoters. The sequences of promoters with high activity, good muscle specificity, and correct sequences were analyzed to explore the relationship between the element composition and activity of promoters. We successfully constructed a muscle-specific promoter library and screened out 321 effective synthetic promoter plasmids. Among them, the activity of SP-301 promoter was 5.63 times that of CMV. The 15 promoters with high activity were muscle-specific. In the promoters with high activity and correct sequences, there was a relationship between their element composition and activity. Muscle-specific elements accounted for a high proportion in the promoters, while they had weak correlations with the promoter activity, being tissue-specific determinants. Viral elements accounted for no less than 20% in highly active promoters, which may be the key elements for the promoter activity. The content of conserved elements was proportional to the promoter activity. This study lays a theoretical foundation for the synthesis of tissue-specific efficient promoters and provides a new idea for the construction and application of in-situ gene delivery systems.
Promoter Regions, Genetic ; Humans ; Animals ; Mice ; Gene Library ; Cell Line ; Transfection ; HeLa Cells ; Luciferases/metabolism* ; Muscle, Skeletal/metabolism* ; Plasmids/genetics* ; Myoblasts/cytology*

Objective:The objective of this study is to sequence whole genome of the rabies virus in the saliva specimen of a suspected rabies case with onset of rabies from a wildlife (hog badger) bite wound in Sichuan province, where the genetic variation characteristics of the virus was analyzed at the molecular level, so as to understand the prevalence and mutation of wildlife rabies virus in Sichuan province.Methods:Total viral RNA was extracted from the saliva specimen of the suspected rabies case. Then, rabies virus sequences were amplified using PCR with specific primers; the gene fragments obtained were sequenced, and the sequences obtained were spliced using biological software to obtain the whole genome sequence of the rabies virus strain. The genetic variation characteristics of the whole genome were analyzed.Results:The whole genome nucleotide sequence of a strain of rabies virus of hog badger origin (hereinafter referred to as SCR23-052) was obtained by sequencing, and NCBI online BLAST and comparison with several reference sequences showed that the composition and structure of the whole genome sequence of SCR23-052 conformed to the characteristics of the Lyssavirus under the Rhabdoviridae; the highest similarity in nucleotide and amino acid sequences in various gene regions was observed between SCR23-052 and the strains of Ningxia (J) and Chongqing (CQ92, 02050CHI). The sequence variability of SCR23-052 genome was significantly lower at the amino acid level than that at the nucleotide level, which indicated that most of the nucleotide variants in the protein-coding genes belonged to synonymous mutations. Phylogenetic analysis showed that SCR23-052 belonged to genotype V, which did not show any obvious mutation in the major antigenic site of the glycoprotein, underwent amino acid glycosylation at positions 56 and 338 by the online site prediction, and showed the least amino acid difference compared with the signal peptide sequence of the vaccine strain CTN181. The virus in this study has an A→T mutation at position 332 in the nucleoprotein major antigenic site with all reference vaccine strains, and an L→V mutation at position 379 in the B-cell epitope with the CTN181 vaccine strain. SCR23-052 was consistent with both genotype V reference strains at the nucleoprotein study site.Conclusions:The whole genome sequence of a wildlife strain of genotype V rabies virus of hog badger origin was obtained, which was different from that of the genotype I strain of rabies virus of dog origin that previously reported to be prevalent in Sichuan. The genome sequence of SCR23-052 differed from that of the reference vaccine strains to a varying degree, but the main virulence characteristics remained unaltered.

Objective:To detect and study the genetic evolution and biological characteristics of the first imported Zika virus (ZIKV) in a suspected case from Singapore to Sichuan Tianfu airport for inbound transfer on June 28, 2024, and so to provide reference for prevention and control of ZIKV disease.Methods:Serum sample was collected from the inbound transfer passenger, we detected ZIKV RNA using real-time RT-PCR method. The whole genome sequence was obtained through target next-generation sequencing (tNGS). CLC Genomics Workbench software was used for sequence analysis and splicing, and MEGA 7.0 software was used for phylogenetic tree construction.Results:Real-time RT-PCR result showed that the serum sample was positive. The phylogenetic tree which was constructed based on the whole genome sequence of ZIKV indicated the Sichuan strain was located on Asian lineage. Gene homology analysis showed that the homology between Sichuan strain and Asian, African strains ranged from 84.4%-98.6%. The Sichuan strain showed unique molecular features of 139S, 982V and 2634M.Conclusions:The ZIKV strain in Sichuan inbound transfer passenger in June 2024 belongs to the Asian lineage, which agrees with the epidemiological investigation outcome.

{L-End}Objective To analyze the correlation between occupational burnout and sleep quality among steelworkers. {L-End}Methods A total of 11 491 steelworkers from a large steel enterprise in Gansu Province were selected as the research subjects using convenient sampling method. The Burnout Questionnaire and the Pittsburgh Sleep Quality Index Scale were used to investigate their occupational burnout and sleep quality. Hierarchical regression analysis was used to analyze the effects of occupational burnout on the sleep quality. {L-End}Results The detection rate of occupational burnout and sleep disorder were 50.4% and 39.0%, respectively. There was a positive correlation between the level of occupational burnout and the total score of sleep quality (Spearman correlation coefficient=0.454, P<0.05). The results of hierarchical regression analysis, adjusting for confounding factors such as gender, age, marital status, education level, alcohol consumption, exercise, weekly working hours, seniority, work shift, noise exposure, dust exposure, and high-temperature work, showed that the score of occupational burnout was positively related to the score of sleep quality(P<0.01), explaining 16.0% of the variance in the score of sleep quality among these steelworkers. {L-End}Conclusion The detection rate of occupational burnout and sleep disorders are relatively high among the steelworkers in this enterprise. Higher levels of occupational burnout are associated with poorer sleep quality. Alleviating occupational burnout among steelworkers may contribute to improving their sleep quality.