Objective:To explore the effect of personalized training based on early start Denver model (ESDM) combined with applied behavior analysis (ABA) in children with autism spectrum disorder (ASD) .Methods:From January 2021 to January 2023, convenience sampling was used to select 90 children with ASD who received treatment at the Shaoxing Seventh People's Hospital and their caregivers as research subjects. The children were divided into two groups using a random number table method in a 1∶1 ratio. The control group received routine rehabilitation, while the observation group was treated with personalized training based on ESDM combined with ABA. Both groups were intervened for six months. Children's Autism Rating Scale (CARS), Autism Behavior Checklist (ABC), Gesell Developmental Schedule (GDS), Sign-Significate Relation (S-S) Language Development Delay Assessment, Social Life Ability Scale for Infant-Junior Middle School Students (S-M), and Modified Barthel Index (MBI) were used to evaluated the effects of intervention on two groups of ASD children before and after intervention.Results:After six months of intervention, the CARS and ABC scores of ASD children in the observation group were lower than those in the control group, and the scores of GDS dimensions and total developmental quotient, S-S Language Development Delay Assessment score, S-M score, and MBI score were higher than those in the control group, and the differences were statistically significant (all P<0.05) . Conclusions:Personalized training based on ESDM combined with ABA has a good effect, which can improve loneliness symptoms of children with ASD, alleviate cognitive, language, and behavioral dysfunction, enhance social adaptation ability and activities of daily living.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

OBJECTIVES: Several countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies. METHODS: We analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort. RESULTS: The age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system. CONCLUSIONS The significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

Particulate matter (PM) is the main air pollutant in China. Due to its wide distribution and difficulties in control, PM has been widely concerned. PM mainly enters human body through respiratory exposure and can cause a variety of health problems. Recent studies have shown that PM exposure is also associated with the occurrence and development of digestive system diseases, as it can enter human body indirectly through the respiratory tract or directly through the digestive tract. Gut microbiota (GM) is a group of microorganisms located in the intestinal epithelium mucosa and intestinal lumen. GM is large in number and rich in functions, and its homeostasis plays an important role in the intestinal health of individuals and even the health of the body. Because GM may mediate the health effects induced by environmental factors, more and more studies have focused on the effects of ambient PM on GM. In this review, we summarized the effects of a variety of ambient PM on GM homeostasis, focusing on five major phyla including Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Verrucomicrobia, and discussed their main functions and the effects of PM on their homeostasis and abundance.

Objective This study aimed to explore the differences in global and local brain network topological properties between deficient pattern(DP)and excess pattern(EP)of mild vascular cognitive impairment caused by subcortical small vessel disease based on graph theory network.Methods Patients were recruited prospectively and were classified with DP and EP subtype.The global small-world topological attributes and local nodes were calculated for the comparison of DP,EP,and healthy controls(CN)using the GRETNA platform.Results The three groups all had small-world attributes,but only the patients in EP had a significantly lower small world attribute δ in the range of 0.05-0.26 than the control group(P<0.05).The node efficiency and node strength indicators of multiple brain region were able to significantly distinguish the DP group from the EP group.However,there was no positive brain region in the node efficiency of the DP patients(P>0.05),and only a few brain regions showed increased node strength efficiency(P<0.05).Conclusion The results indicate that the syndrome of DP and EP have significantly different neuroimaging phenotypes,providing a basis for further research of biological classification based on Chinese Medicine syndromes.

Objective To perform a bibliometric analysis of researches on the Plasmodium falciparum repetitive interspersed families of polypeptides (RIFIN) protein from 1993 to 2022 and identify the hot topics in the RIFIN protein research, so as to provide insights into future researches on RIFIN protein. Methods RIFIN protein-associated publications were retrieved in the Web of Science Core Collection from 1993 to 2022 and all bibliometric analyses were performed using the software CiteSpace 6.2.4.0. The annual number of RIFIN protein-associated publications was analyzed from 1993 to 2022, and country, author and institution collaboration networks were created. Keywords were extracted from RIFIN protein-associated publications for plotting keyword co-occurrence, clustering, burst and timeline maps to identify the hot topics in the RIFIN protein research. Results A total of 745 English RIFIN protein-associated publications were included in the final bibliometric analysis, and there were 18 to 36 publications each year from 1993 to 2022. The top three countries with the highest activity in the RIFIN protein research included the United States, the United Kingdom and France, universities and research institutes were highly active in the RIFIN protein research; however, no authors were identified with a high activity in the RIFIN protein research. There were three keyword clusters in the RIFIN protein-associated publications, including repetitive DNA sequence, molecular epidemiology and antigenic variation. Keyword co-occurrence, burst and timeline analyses showed that previous RIFIN protein-associated publications mainly focused on gene properties and functions, involving keywords of repetitive DNA sequence and evolution, and recent hot topics for the RIFIN protein research shifted to genetic diversity and immune response, involving keywords of genetic diversity, antigenic variation and binding. Conclusions The annual number of RIFIN protein-associated publications was relatively stable from 1993 to 2022. This bibliometric analysis may provide insights into future researches on the RIFIN protein.

Objective: To develop an assessment tool for risky road behavior tendencies among middle school students in western China, as well as to determine the relevant indices and their weights, so as to provide the reference for road safety prevention and control for middle school students in western China. Methods: A Delphi study was employed to construct the assessment tool for risky road behavior tendencies among middle school students in western China. In August 2023, eighteen experts in related fields such as traffic safety, education, and healthcare were invited to achieve Delphi consensus. The final indices were initially selected based on the consulting results,followed by the determination of their individual and combined weights using the analytic hierarchy process. Results: The finalized assessment tool comprised 3 primary indicators, 13 secondary indicators, and 100 tertiary indicators. The positivity coefficient of experts was 100%, accompanied by the authority coefficient 0.90. The mean importance scores for the three primary indicators varied from 4.67 to 4.78, while those for the 13 secondary indicators ranged from 4.22 to 4.89. The Kendall coefficient W was statistically significant at 0.32 ( χ 2=96.83, P <0.05). The weights assigned to the three primary indicators were:ability (0.329 4), opportunity (0.337 3), and motivation (0.333 3). The secondary indicators with the top three highest combined weights were social influence (0.027 4), knowledge (0.027 3), and skills (0.026 7). Conclusions The assessment tool for risky road behavior tendencies among middle school students in western China demonstrates high expert consensus, with balanced weighting of primary and secondary indicators. Expanded use of the assessment tool would provide the data support for intervention work.

The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting individual molecules cannot fully reflect the biological health effects under environmental pollutant stress. Using high-throughput multi-omics, machine learning, and epigenetic detection to conduct targeted research and joint analysis on cells, organoids, organs, animals, and humans in different biological dimensions will help provide data support for the study of potential targets and biological effects of environmental pollutants, providing a theoretical basis for the risk assessment and safety evaluation of environmental pollutants.

The lungs, being the principal respiratory organs in humans, are highly vulnerable to occupational exposure hazards. The rapid industrialization and urbanization in China, coupled with the rise of new industries, have heightened the risk of lung-related occupational hazards for workers, thereby presenting substantial challenges to research in lung-related occupational toxicology. The emerging technology of lung organoids, a three-dimensional cell culture technique, has the potential to replicate human lung structure and function in a laboratory setting, enabling direct observation and assessment of various impacts. Furthermore, the organoid model's short cycles and high throughput play a critical role in the simulation of the occurrence and development of lung impairments and the screening and evaluation of potential therapeutic drugs for occupational lung diseases. As such, the utilization of lung-related organoid technology not only improves the assessment level of the health effects of lung-related occupational exposure, but also enhances researchers' understanding of the pathological mechanisms underlying lung diseases and aids in the development of prevention and treatment strategies, rendering it a valuable tool for investigating occupational lung diseases. This paper provided a comprehensive overview of the advancements in lung organoid models and their biomedical applications, particularly in the evaluation of the potential application in the heath effects of lung-related occupational exposures.