Influence of different inoculation methods on the evaluation of the resistance to rice sheath blight(Rhizoctonia solani Kuhn)

To establish a standard system for geneticstudies on sheath blight resistance, a field testwas conducted at the experimental farm ofYangzhou University to compare several pro-cedures for inoculating rice plants with R.solani Kuhn (RH9). The varieties used wereJasmine 85, Teqing (resistant or moderatelyresistant), and Lemont (susceptible). They

IMVis: Visual analytics for influence maximization algorithm evaluation in hypergraphs

Influence maximization(IM)algorithms play a significant role in hypergraph analysis tasks,such as epidemic control analysis,viral marketing,and social influence analysis,and various IM algorithms have been proposed.The main challenge lies in IM algorithm evaluation,due to the complexity and diversity of the spreading processes of different IM algorithms in different hypergraphs.Existing evaluation methods mainly leverage statistical metrics,such as influence spread,to quantify overall performance,but do not fully unravel spreading characteristics and patterns.In this paper,we propose an exploratory visual analytics system,IMVis,to assist users in exploring and evaluating IM algorithms at the overview,pattern,and node levels.A spreading pattern mining method is first proposed to characterize spreading processes and extract important spreading patterns to facilitate efficient analysis and comparison of IM algorithms.Novel visualization glyphs are designed to comprehensively reveal both temporal and structural features of IM algorithms’spreading processes in hypergraphs at multiple levels.The effectiveness and usefulness of IMVis are demonstrated through two case studies and expert interviews.

Formulation of a CITE metric for evaluating the clinical implications of medical studies and their originating hospitals in China

Background:The number of medical research publications by Chinese clinical investigators has risen substantially,contributing to 14.63%of the global total in 2019;however,their tangible impact on clinical decisionmaking remains limited.Various evaluation methods have been developed to measure hospital research competence in China,such as Fudan University's China hospital ranking and Science and Technology Evaluation Metrics(STEM)ranking,which predominantly focuses on factors such as academic reputation,volume of publications and patents,and research resources.However,composite indices may not fully capture the actual clinical value generated by medical research.To address this gap,we introduced the“Clinical Influence and Timeliness Evaluation(CITE)”metric to assess both the clinical importance of a given medical research study and the clinical influence of the hospital where it originated.The methodology used relies on the premise that influential medical research would be referenced in clinical guidelines,which serve as critical resources for clinicians.Methods:The CITE metric was applied for 78,636 medical studies concerning chronic obstructive pulmonary disease(COPD)published between 2000 and 2020 and referenced in both Chinese and international clinical guidelines for COPD.Specific indexes and formulas were derived to quantify the clinical weight of a medical research study(W)and its timeliness(T),enabling a dynamic assessment of the clinical value of each study and the overall contribution of a particular hospital.Results:In this analysis,we incorporated 499 hospitals in China and quantitatively identified their dynamic clinical influence in COPD from 2000 to 2020.Our findings offer objective and targeted evaluation metrics by focusing on clinical relevance and recognizing the collaborative nature of medical research.Conclusion:The CITE metric provides an innovative method to gauge the true impact of medical research in China,with potential applications across different medical specialties.CITE can serve as a useful tool for understanding the relationship between research input and practical clinical outcomes,ultimately promoting more clinically relevant research endeavors.

Study on Information Diffusion Analysis in Social Networks and Its Applications

Due to the prevalence of social network services, more and more attentions are paid to explore how information diffuses and users affect each other in these networks, which has a wide range of applications, such as viral marketing, reposting prediction and social recommendation. Therefore, in this paper, we review the recent advances on information diffusion analysis in social networks and its applications. Specifically, we first shed light on several popular models to describe the information diffusion process in social networks, which enables three practical applications, i.e., influence evaluation, influence maximization and information source detection. Then, we discuss how to evaluate the authority and influence based on network structures. After that, current solutions to influence maximiza- tion and information source detection are discussed in detail, respectively. Finally, some possible research directions of information diffu- sion analysis are listed for further study.