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With the increasing global burden of various cancer, an abundance of papers emerged every year in the research hotspots of oncology, covering a wide range of research types and topics. In order to facilitate interested readers to quickly grasp the frontier and hotspots of cancer research, it would be helpful to sort out and summarize the research topic in a timely manner. According to the classification of disciplines, we screened the Essential Science Indicators (ESI) hot papers released in 2019 for the ones in the oncology field, utilized methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation to further reveal the context and characteristics of research in the field of oncology, summarized the latest progresses and future directions in the field, and provided information and hints for the trajectory of future research. A total of 549 papers were included, which were mainly from the field of clinical medicine; the country with the most publications was the United States, while China ranked the fourth in terms of contribution; the research institution with the highest number of published papers was University of Texas system; N Engl J Med published the most papers, with contribution also from highly influential journals in the field of oncology such as Lancet Oncol , J Clin Oncol , JAMA Oncol and Cancer Discov . Oncology remained the most popular research topic in the medical research and spanned a wide spectrum of sub-topics. In this study, we demonstrated and sorted out research frontiers in the field of oncology in 12 different research directions including the basic cancer research, cancer epidemiology, and various tumors types related to different systems and organs.

With the heavier burden of cardiovascular disease, an abundance of papers emerge every year in the research hotspots, which cover a wide range of types and content. In order to let readers interested in the cardiovascular field quickly understand the research hotspots and research frontier, it is necessary to sort out and summarize the research topic in time. According to the discipline classification, we screened papers in cardiovascular field from the Essential Science Indicators (ESI) hot papers published in 2019. Methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation were used a step further to reveal the context and characteristics of research in the field of cardiovascular diseases, summarize the latest progress and development direction in this field, and provide information and hints for the expansion of future research directions. A total of 297 papers were finally included, which were mainly in the field of clinical medicine; The country with the most publications was the United States, while China ranked the fifth in terms of contribution; the research institution with the highest number of published papers was Harvard University; the New England Journal of Medicine ( NEJM ) has published the most papers, with contribution also from journals such as Circulation , Europe Heart Journal , JAMA , and Lancet . All the papers were categorized into disease burden, disease risk, drug treatment, device treatment and surgical treatment, clinical diagnosis, basic research and others, so as to review and summarize the research front in the field of cardiovascular diseases.

This paper analyzed literatures on the specificity study of electroencephalogram (EEG) in the diagnosis of depression since 2010 to 2020, summarized the recent research directions in this field and prospected the future research hotspots at home and abroad. Based on databases of China National Knowledge Infrastructure (CNKI) and the core collection of Web of Science (WOS), CiteSpace software was used to analyze the relevant literatures in this research field. The number of relevant literatures, countries, authors, research institutions, key words, cited literatures and periodicals related to this research were analyzed, respectively, to explore research hotspots and development trends in this field. A total of 2 155 articles were included in the WOS database. The most published institution was the University of Toronto, the most published country was the United States, China occupied the third place, and the hot keywords were anxiety, disorder, brain and so on. A total of 529 literatures were included and analyzed in CNKI database. The institution with the most publications was the Mental Health Center of West China Hospital of Sichuan University, and the hot keywords were EEG signal, event-related potential, convolutional neural network, schizophrenia, etc . This study finds that EEG study of depression is developing rapidly at home and abroad. Research directions in the world mainly focus on exploring the characteristics of spontaneous EEG rhythm and nonlinear dynamic parameters during sleep in depressed patients. In addition, synchronous transcranial magnetic stimulation (TMS) and EEG technologies also attract much attention abroad, and the future research hotspot will be on the mechanism of EEG on patients with major depression. Domestic research directions mainly focus on the classification of resting EEG and the control study of resting EEG power spectrum entropy in patients with schizophrenia and depression, and future research hotspot is the basic and clinical EEG study of depressed patients complicated with anxiety.

Taking Duke University as an example, this article makes a comparison between the major of biomedical engineering in the Southeast University and that in American universities in term of subject direction, faculty, teaching principle and status of publishing academic papers. Through the comparison and analysis, the problems we face were explored. From the comparison and summary the future improvements in four aspects, such as strengthening the interdisciplinary among different majors, etc. so as to provide an inspiration on the future perspectives of research and teaching in biomedical engineering in China.

From April 2009 onward, a new strain of human H1N1 influenza virus has swept over the world. The genome of influenza virus consists of 8 segments, encoding 10 proteins, respectively. The reassortments among the 8 segments cause the variation of influenza virus. Therefore, phylogenetic analysis of the 8 genes is very important. In this paper, we choose neighboring word frequency as the genomic features, using VC++ programming to analyze evolution of the 8 segments of H1N1 virus. As a result, we found that PB2 genes and PA genes of these three isolated virus were originated from North American avian influenza virus, that PB1 genes were originated from the seasonal influenza virus of human, and that HA genes, NS genes and NP genes came from the North American classical swine influenza A virus. The NA segments and M segments were originated from the European swine influenza virus.