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| 1 | Automatic Question Answering from Web Documents显示文摘A passage retrieval strategy for web-based question answering (QA) systems is proposed in our QA system. It firstly analyzes the question based on semantic patterns to obtain its syn- tactic and semantic information and then form initial queries. The queries are used to retrieve documents from the World Wide Web (WWW) using the Google search engine. The queries are then rewritten to form queries for passage retrieval in order to improve the precision. The relations between keywords in the question are employed in our query rewrite method. The experimental result on the question set of the TREC-2003 passage task shows that our system performs well for factoid questions. | LI Xin HU Dawei LI Huan HAO Tianyong CHEN Enhon LIU Wenyin | 2007 | Wuhan University Journal of Natural Sciences2007，12，5： | 4 |
| 2 | Phylogenomic analysis of transcriptomic sequences of mitochondria and chloroplasts for marine red algae(Rhodophyta)in China显示文摘The chloroplast and mitochondrion of red algae(Phylum Rhodophyta) may have originated from different endosymbiosis.In this study,we carried out phylogenomic analysis to distinguish their evolutionary lineages by using red algal RNA-seq datasets of the 1 000 Plants(1KP) Project and publicly available complete genomes of mitochondria and chloroplasts of Rhodophyta.We have found that red algae were divided into three clades of orders,Florideophyceae,Bangiophyceae and Cyanidiophyceae.Taxonomy resolution for Class Florideophyceae showed that Order Gigartinales was close to Order Halymeniales,while Order Gracilariales was in a clade of Order Ceramials.We confirmed Prionitis divaricata(Family Halymeniaceae) was closely related to the clade of Order Gracilariales,rather than to genus Grateloupia of Order Halymeniales as reported before.Furthermore,we found both mitochondrial and chloroplastic genes in Rhodophyta under negative selection(Ka/Ks < 1),suggesting that red algae,as one primitive group of eukaryotic algae,might share joint evolutionary history with these two organelles for a long time,although we identified some differences in their phylogenetic trees.Our analysis provided the basic phylogenetic relationships of red algae,and demonstrated their potential ability to study endosymbiotic events. | JIA Shangang WANG Xumin QIAN Hao LI Tianyong SUN Jing WANG Liang YU Jun LI Xingang YIN Jinlong LIU Tao WU Shuangxiu | 2014 | Acta Oceanologica Sinica2014，33，2： | 1 |
| 3 | Phylogenomic analysis of transcriptomic sequences of mitochondria and chloroplasts of essential brown algae(Phaeophyceae)in China显示文摘The chloroplast and mitochondrion of brown algae(Class Phaeophyceae of Phylum Ochrophyta) may have originated from different endosymbiosis.In this study,we carried out phylogenomic analysis to distinguish their evolutionary lineages by using algal RNA-seq datasets of the 1 000 Plants(1KP) Project and publicly available complete genomes of mitochondria and chloroplasts of Kingdom Chromista.We have found that there is a split between Class Phaeophyceae of Phylum Ochrophyta and the others(Phylum Cryptophyta and Haptophyta) in Kingdom Chromista,and identified more diversity in chloroplast genes than mitochondrial ones in their phylogenetic trees.Taxonomy resolution for Class Phaeophyceae showed that it was divided into Laminariales-Ectocarpales clade and Fucales clade,and phylogenetic positions of Kjellmaniella crassifolia,Hizikia fusifrome and Ishige okamurai were confirmed.Our analysis provided the basic phylogenetic relationships of Chromista algae,and demonstrated their potential ability to study endosymbiotic events. | JIA Shangang WANG Xumin LI Tianyong QIAN Hao SUN Jing WANG Liang YU Jun REN Lufeng YIN Jinlong LIU Tao WU Shuangxiu | 2014 | Acta Oceanologica Sinica2014，33，2： | 1 |
| 4 | A bibliometric analysis of worldwide cancer research using machine learning methods显示文摘With the progress and development of computer technology,applying machine learning methods to cancer research has become an important research field.To analyze the most recent research status and trends,main research topics,topic evolutions,research collaborations,and potential directions of this research field,this study conducts a bibliometric analysis on 6206 research articles worldwide collected from PubMed between 2011 and 2021 concerning cancer research using machine learning methods.Python is used as a tool for bibliometric analysis,Gephi is used for social network analysis,and the Latent Dirichlet Allocation model is used for topic modeling.The trend analysis of articles not only reflects the innovative research at the intersection of machine learning and cancer but also demonstrates its vigorous development and increasing impacts.In terms of journals,Nature Communications is the most influential journal and Scientific Reports is the most prolific one.The United States and Harvard University have contributed the most to cancer research using machine learning methods.As for the research topic,“Support Vector Machine,”“classification,”and“deep learning”have been the core focuses of the research field.Findings are helpful for scholars and related practitioners to better understand the development status and trends of cancer research using machine learning methods,as well as to have a deeper understanding of research hotspots. | Lianghong Lin Likeng Liang Maojie Wang Runyue Huang Mengchun Gong Guangjun Song Tianyong Hao | 2023 | Cancer Innovation2023，2，3： | 0 |
| 5 | Phylogeny of genera Laminaria and Saccharina(Laminariales, Phaeophyceae) based on three molecular markers显示文摘In the past two decades, many studies have focused on the classification within genus Laminaria, ultimately trying to divide it into two subgroups or genera: Laminaria and Saccharina. A significant debate still surrounds the question of its division, as the conflicting phylogenetic hypotheses that have resulted from the classification studies are based on different taxon sampling, molecular markers, or analysis methods. It is aimed at elucidate the molecular phylogeny within Laminaria and Saccharina. The nine species of Laminariales are sampled from northern Asia and Europe, and 23 new sequences in the nuclear, plastid, and mitochondrial genomes are determined to identify their taxonomic status. The phylogenetic analyses of 71 species are performed, including representatives from six of the seven families of the order Laminariales, based on three separate data sets. An evidence is provided to strongly support a clear split that maintains the two recognized genera, Laminaria and Saccharina, with Laminaria appearing to be the ancestor group. Further, analyses indicate that all taxa in Saccharina and Laminaria did not form a monophyletic lineage, instead Laminariaceae and Lessoniaceae grouped together interlacedly, and Costariaceae appeared as the sister taxon of the Lessoniaceae–Laminariaceae clade. In the phylogenetic analysis, mitochondrial c oxidase I(COI) sequences appeared to be the most credible molecular marker which was more befitting than nuclear encoded internal transcribed spacer(ITS) and plastid encoded rbcL for establishment of Laminariales systematics. It is the most comprehensive phylogeny of the order Laminariales, and contributes to an enhanced understanding and estimation of the phylogenetic relationships for the economically important seaweeds, Laminaria and Saccharina. | CHI Shan QIAN Hao LI Tianyong WANG Xumin LIU Cui REN Lei TANG Xuexi LIU Tao | 2014 | Acta Oceanologica Sinica2014，33，9： | 0 |
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