Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.

Objective:To analyze the characteristics and citations of articles in Chinese Journal of Preventive Medicine from 2014 to 2017, and discuss the academic level and quality of the journal. Methods:All the literatures published in Chinese Journal of Preventive Medicine from 2014 to 2017 were retrieved through the Chinese Medical Citation index, and the citation frequency data in China′s core journals of science and technology from 2014 to 2018 was obtained through Institute of Scientific and Technical Information of China. The citation status of articles published in Chinese Journal of Preventive Medicine was statistically analyzed by the scientometric method. The main indicators included the citation rate of articles published in each year, the citation frequency of all articles, the citation status of individual papers and authors, the regional and high-yield institution distribution of cited authors, and the main citation journals. Results:From 2014 to 2017, a total of 929 articles were published in 19 columns of Chinese Journal of Preventive Medicine,and the number of each year was 253 (27.23%), 231 (24.87%), 224 (24.11%) and 221 (23.79%), respectively. The total number of published pages was 3 564, and the average number of articles was 3.45 pages. A total of 28 key topics have been published. The total citation was 3 861 times, with 4.16 times per paper. Among them, 161 papers were not cited，accounting for 17.33%. The maximum citation frequency of a single paper was 49 times. There were good citations in the columns of original article and methodology introduction. There was no correlation between fund project support and paper citation. But the cited rate (93.67%) and cited frequency of special issue ［ M ( P25, P75)=3 (1, 6)］ were higher compared with the cited rate (80.42%; χ 2=16.08, P<0.001) and cited frequency ［ M ( P25, P75)=2 (1, 6); Z=2.56, P=0.010] of free-lance articles. A total of 15 authors were cited more than 25 times, and 15 articles were cited more than 20 times. There were 213 institutions involved in the 768 cited papers, among which 12 institutions were cited more than 50 times. The authors of the cited papers were distributed in 28 provinces (autonomous regions, municipalities directly under the central government). From 2014 to 2018, a total of 281 journals cited the papers published in our journal, of which 12 journals cited more than 50 times. Conclusion:The quality of the literature in Chinese Journal of Preventive Medicine is high and the journal has a strong influence in the field of preventive medicine and public health in China. The editorial department should adjust the column setting timely, strengthen the planning of key topic selection and the solicitation and publicity of excellent papers, reduce the number of papers cited by zero, and further improve the influence of the magazine.

Objective:To analyze the characteristics and citations of articles in Chinese Journal of Preventive Medicine from 2014 to 2017, and discuss the academic level and quality of the journal. Methods:All the literatures published in Chinese Journal of Preventive Medicine from 2014 to 2017 were retrieved through the Chinese Medical Citation index, and the citation frequency data in China′s core journals of science and technology from 2014 to 2018 was obtained through Institute of Scientific and Technical Information of China. The citation status of articles published in Chinese Journal of Preventive Medicine was statistically analyzed by the scientometric method. The main indicators included the citation rate of articles published in each year, the citation frequency of all articles, the citation status of individual papers and authors, the regional and high-yield institution distribution of cited authors, and the main citation journals. Results:From 2014 to 2017, a total of 929 articles were published in 19 columns of Chinese Journal of Preventive Medicine,and the number of each year was 253 (27.23%), 231 (24.87%), 224 (24.11%) and 221 (23.79%), respectively. The total number of published pages was 3 564, and the average number of articles was 3.45 pages. A total of 28 key topics have been published. The total citation was 3 861 times, with 4.16 times per paper. Among them, 161 papers were not cited，accounting for 17.33%. The maximum citation frequency of a single paper was 49 times. There were good citations in the columns of original article and methodology introduction. There was no correlation between fund project support and paper citation. But the cited rate (93.67%) and cited frequency of special issue ［ M ( P25, P75)=3 (1, 6)］ were higher compared with the cited rate (80.42%; χ 2=16.08, P<0.001) and cited frequency ［ M ( P25, P75)=2 (1, 6); Z=2.56, P=0.010] of free-lance articles. A total of 15 authors were cited more than 25 times, and 15 articles were cited more than 20 times. There were 213 institutions involved in the 768 cited papers, among which 12 institutions were cited more than 50 times. The authors of the cited papers were distributed in 28 provinces (autonomous regions, municipalities directly under the central government). From 2014 to 2018, a total of 281 journals cited the papers published in our journal, of which 12 journals cited more than 50 times. Conclusion:The quality of the literature in Chinese Journal of Preventive Medicine is high and the journal has a strong influence in the field of preventive medicine and public health in China. The editorial department should adjust the column setting timely, strengthen the planning of key topic selection and the solicitation and publicity of excellent papers, reduce the number of papers cited by zero, and further improve the influence of the magazine.