FLASH radiotherapy is moving from animal experiments to clinical trials. However, the research on radiation shielding of FLASH radiotherapy rooms has been still in the initial stage. This paper analyses the structural characteristics of the beam pulse of FLASH radiotherapy devices of different technical routes, and discusses the radiation shielding challenges facing the radiotherapy room from FLASH radiotherapy technology based on the current protection standards for the radiotherapy room at home and abroad. The purpose is to provide input to the research on radiation protection of FLASH radiotherapy and to promote the clinical development of FLASH radiotherapy.

Objective This research aims to establish a scientific research performance evaluation indicator system for public hospital staff,providing evaluation standards and assessment criteria for their research performances.Methods An indica-tor pool was developed through literature review.The indicators were determined through two rounds of Delphi expert consultations.Analytic Hierarchy Process(AHP)was used to calculate their weights and thus establish an indicator system.Results The indica-tor system consists of 8 primary indicators-research projects(0.193 3),talent cultivation(0.264 3),patents(0.046 2),publica-tions(0.118 5),monographs(0.068 1),awards(0.147 2),standards(0.094 3),and research errors(0.068 1)-encompassing 29 secondary indicators.The response rate of the second-round expert consultation was 0.85;the authority coefficient was 0.94;the importance rating of indicators was 4.44,and Kendall's coefficient was 0.260(P＜0.05).The consistency index(CI)and consistency ratio(CR)values were＜0.1,indicating good results.Conclusion The indicator system demonstrates scientifically good validity and feasibility.Thus it can be used to evaluate the research performances of public hospital staff,providing decision support for resource allocation and the optimization of incentive mechanisms.

Structural optimization of lead compounds is a crucial step in drug discovery. One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules, thereby accelerating the molecular optimization process. Deep molecular diffusion generative models simulate a gradual process that creates novel, chemically feasible molecules from noise. However, the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules, leading to challenges in modifying the scaffold-based molecular structures, and creates limitations in the stability and diversity of the generated molecules. To address these challenges, we propose a deep molecular diffusion generative model, the three-dimensional (3D) equivariant diffusion-driven molecular generation (3D-EDiffMG) model. The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder (dual-SWLEE) is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions. Additionally, a gate multilayer perceptron (gMLP) block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies. The experimental results show that 3D-EDiffMG effectively generates unique, novel, stable, and diverse drug-like molecules, highlighting its potential for lead optimization and accelerating drug discovery.

Objective This research aims to establish a scientific research performance evaluation indicator system for public hospital staff,providing evaluation standards and assessment criteria for their research performances.Methods An indica-tor pool was developed through literature review.The indicators were determined through two rounds of Delphi expert consultations.Analytic Hierarchy Process(AHP)was used to calculate their weights and thus establish an indicator system.Results The indica-tor system consists of 8 primary indicators-research projects(0.193 3),talent cultivation(0.264 3),patents(0.046 2),publica-tions(0.118 5),monographs(0.068 1),awards(0.147 2),standards(0.094 3),and research errors(0.068 1)-encompassing 29 secondary indicators.The response rate of the second-round expert consultation was 0.85;the authority coefficient was 0.94;the importance rating of indicators was 4.44,and Kendall's coefficient was 0.260(P＜0.05).The consistency index(CI)and consistency ratio(CR)values were＜0.1,indicating good results.Conclusion The indicator system demonstrates scientifically good validity and feasibility.Thus it can be used to evaluate the research performances of public hospital staff,providing decision support for resource allocation and the optimization of incentive mechanisms.

Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.

FLASH radiotherapy is moving from animal experiments to clinical trials. However, the research on radiation shielding of FLASH radiotherapy rooms has been still in the initial stage. This paper analyses the structural characteristics of the beam pulse of FLASH radiotherapy devices of different technical routes, and discusses the radiation shielding challenges facing the radiotherapy room from FLASH radiotherapy technology based on the current protection standards for the radiotherapy room at home and abroad. The purpose is to provide input to the research on radiation protection of FLASH radiotherapy and to promote the clinical development of FLASH radiotherapy.

Structural optimization of lead compounds is a crucial step in drug discovery.One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption,distribution,metabolism,excretion,and toxicity(ADMET)properties.One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules,thereby accelerating the molecular optimization process.Deep molecular diffusion generative models simulate a gradual process that creates novel,chemically feasible molecules from noise.However,the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules,leading to challenges in modifying the scaffold-based molecular structures,and creates limitations in the stability and diversity of the generated molecules.To address these challenges,we propose a deep molecular diffusion generative model,the three-dimensional(3D)equivariant diffusion-driven molecular generation(3D-EDiffMG)model.The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder(dual-SWLEE)is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions.Addi-tionally,a gate multilayer perceptron(gMLP)block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies.The experimental results show that 3D-EDiffMG effectively generates unique,novel,stable,and diverse drug-like molecules,highlighting its potential for lead optimization and accelerating drug discovery.

Objective To analyze relevant literature on the essence of traditional Chinese medicine syndromes using bibliometric methods;To understand the current research status and hotspots in this field;To provide references for relevant research.Methods Research literature about the essence of TCM syndromes was retrieved from CNKI,VIP,Wanfang Data and CBM from 1st Jan.1979 to 30th June 2024.CiteSpace 6.2 software was used to conduct visualization analysis on authors,institutions,keywords,etc.Results A total of 695 articles were included,with an overall upward trend in publication volume followed by stabilization.The authors who published more articles included Luo Ren(13 articles),Zhao Xiaoshan(13 articles),Li Zegeng(12 articles),etc.The institutions with more publications included Shandong University of Traditional Chinese Medicine(35 articles),Beijing University of Chinese Medicine(33 articles),Chengdu University of Traditional Chinese Medicine(26 articles),etc.Institutions were clustered regionally,and cooperation was mostly between TCM universities and their affiliated hospitals,with less cross regional communication.High frequency keywords included kidney yang deficiency syndrome,metabolomics,animal models,TCM syndrome types,coronary heart disease,lung qi deficiency syndrome,spleen qi deficiency syndrome,liver depression and spleen deficiency syndrome,etc;Keyword clustering covered aspects such as biomolecules and metabolism,TCM syndromes,pathology,disease models,and animal research.Conclusion Research in the field of the essence of TCM syndromes is gradually receiving more attention.Exploring the essence of TCM syndromes at the molecular level through techniques such as genomics,transcriptomics,metabolomics and proteomics is a research hotspot and trend in this field.

Objective To analyze relevant literature on the essence of traditional Chinese medicine syndromes using bibliometric methods;To understand the current research status and hotspots in this field;To provide references for relevant research.Methods Research literature about the essence of TCM syndromes was retrieved from CNKI,VIP,Wanfang Data and CBM from 1st Jan.1979 to 30th June 2024.CiteSpace 6.2 software was used to conduct visualization analysis on authors,institutions,keywords,etc.Results A total of 695 articles were included,with an overall upward trend in publication volume followed by stabilization.The authors who published more articles included Luo Ren(13 articles),Zhao Xiaoshan(13 articles),Li Zegeng(12 articles),etc.The institutions with more publications included Shandong University of Traditional Chinese Medicine(35 articles),Beijing University of Chinese Medicine(33 articles),Chengdu University of Traditional Chinese Medicine(26 articles),etc.Institutions were clustered regionally,and cooperation was mostly between TCM universities and their affiliated hospitals,with less cross regional communication.High frequency keywords included kidney yang deficiency syndrome,metabolomics,animal models,TCM syndrome types,coronary heart disease,lung qi deficiency syndrome,spleen qi deficiency syndrome,liver depression and spleen deficiency syndrome,etc;Keyword clustering covered aspects such as biomolecules and metabolism,TCM syndromes,pathology,disease models,and animal research.Conclusion Research in the field of the essence of TCM syndromes is gradually receiving more attention.Exploring the essence of TCM syndromes at the molecular level through techniques such as genomics,transcriptomics,metabolomics and proteomics is a research hotspot and trend in this field.

Objective: To evaluate the preventive effect of implementing the free influenza vaccination policy on school absence among primary and secondary school students, so as to provide a reference for formulating and adjusting vaccination strategies. Methods: Among primary and secondary school students aged 6 to 18 in Longgang District, Shenzhen, they were divided into a vaccinated group (265 996 students) and an unvaccinated group (122 513 students) according to their influenza vaccination history during November 2023. Propensity score matching was used to conduct a 1∶1 match between the two groups to balance covariates. The number of absences per month was set as the dependent variable to construct a difference in differences model, and Poisson regression was employed to analyze the overall and multi time point effects. Results: Vaccination against influenza was associated with low rate of absenteeism among primary and secondary school students, with an overall preventive effect of 26.52% (95% CI = 23.47% -29.45%). The preventive effects in November (the month of vaccination) and December 2023, January and March 2024 were 42.12%, 40.12%, 30.33% and 20.91%, respectively. The preventive effect of the influenza vaccine on absenteeism among primary school students (26.39%) was not significantly different from that among secondary school students ( 27.97% ) ( P >0.05). The regression coefficient for class vaccination rates ranged from 0.998 to 0.999 ( P <0.01), indicating that for every 10% increase in influenza vaccination rates, absenteeism could be reduced by 1.5% to 2.2%. Conclusion Implementing free influenza vaccination for primary and secondary school students might help to reduce the risk of absenteeism, yielding significant socioeconomic benefits.