In recent years, more and more foreigners begin to learn Chinese characters, but they often make typos when using Chinese. The fundamental reason is that they mainly learn Chinese characters from the glyph and pronunc...In recent years, more and more foreigners begin to learn Chinese characters, but they often make typos when using Chinese. The fundamental reason is that they mainly learn Chinese characters from the glyph and pronunciation, but do not master the semantics of Chinese characters. If they can understand the meaning of Chinese characters and form knowledge groups of the characters with relevant meanings, it can effectively improve learning efficiency. We achieve this goal by building a Chinese character semantic knowledge graph (CCSKG). In the process of building the knowledge graph, the semantic computing capacity of HowNet was utilized, and 104,187 associated edges were finally established for 6752 Chinese characters. Thanks to the development of deep learning, OpenHowNet releases the core data of HowNet and provides useful APIs for calculating the similarity between two words based on sememes. Therefore our method combines the advantages of data-driven and knowledge-driven. The proposed method treats Chinese sentences as subgraphs of the CCSKG and uses graph algorithms to correct Chinese typos and achieve good results. The experimental results show that compared with keras-bert and pycorrector + ernie, our method reduces the false acceptance rate by 38.28% and improves the recall rate by 40.91% in the field of learning Chinese as a foreign language. The CCSKG can help to promote Chinese overseas communication and international education.展开更多
In terms of advancement of life to meet the challenges new method for neuropsychopharmacological research are continually developing to ensure superior safety, accuracy, efficacy, precision etc. In this experiment, we...In terms of advancement of life to meet the challenges new method for neuropsychopharmacological research are continually developing to ensure superior safety, accuracy, efficacy, precision etc. In this experiment, we suggested and validated two neuropsychopharmacological testing methods, these are Numeral Finding (NF) and Typo Revealing (TR) tests for the determination of attention in healthy aged human participants. The objective of this experiment was to generate more effective testing methods for the assessment of attention in human. The rationality of the aforementioned methods was checked by a randomized double blind placebo controlled clinical trial for the period of 21 days among healthy aged human participants. The experiment was conducted at Gazipur Sadar, Gazipur-1703, Dhaka, Bangladesh between the period of December 2015 and March 2016. The experiment center was the Department of Pharmacy, Southeast University, Dhaka-1213, Bangladesh. In this experiment, 60 healthy male participants between the age ranges of 40 to 50 years old were selected and randomly divided by simple randomization process into 3 groups with 20 participants in each. Ginkgo biloba standardized extract’s capsule (Giloba<sup>?</sup><sup></sup> and Kobi<sup>?</sup>) was used as a standard and as a placebo control psyllium seed husk (i.e., seed of the Plantago ovata) was used after filling in the hard gelatin capsule shell (size 0). Group 1 was treated with Giloba<sup>? </sup>in which each capsule contained 120 mg Ginkgo biloba standardized extract (GBG) and group 2 was treated with Kobi<sup>?</sup> in which each capsule contained 60 mg Ginkgo biloba standardized extract (GBK). The treatment procedure for group 3 was psyllium seed husk’s capsule that served as placebo control (PC). Throughout the experiment each capsule was administered 3 times daily. Treatment with Ginkgo biloba standardized extracts for successive days markedly increased the attention of the participants with respect to PC group. In the NF test, administration of GBG and GBK extracts significantly (P P P < 0.01) increased the attention of the participants on 14<sup>th</sup> and 21<sup>st</sup> day as compared to that of PC group. For TR test treatment with GBG and GBK extracts markedly (P P P < 0.01) increased the attention of the participants on 14<sup>th</sup> and 21<sup>st</sup> day with respect to PC group. The existing experiment proved that NF and TR tests undoubtedly revealed the attention enhancing activity of the Ginkgo biloba standardized extracts in healthy aged human participants. Consequently, the recommended newly emerging methods can be used for the assessment of attention in human and will create a miracle in the domain of neuroscience.展开更多
文摘In recent years, more and more foreigners begin to learn Chinese characters, but they often make typos when using Chinese. The fundamental reason is that they mainly learn Chinese characters from the glyph and pronunciation, but do not master the semantics of Chinese characters. If they can understand the meaning of Chinese characters and form knowledge groups of the characters with relevant meanings, it can effectively improve learning efficiency. We achieve this goal by building a Chinese character semantic knowledge graph (CCSKG). In the process of building the knowledge graph, the semantic computing capacity of HowNet was utilized, and 104,187 associated edges were finally established for 6752 Chinese characters. Thanks to the development of deep learning, OpenHowNet releases the core data of HowNet and provides useful APIs for calculating the similarity between two words based on sememes. Therefore our method combines the advantages of data-driven and knowledge-driven. The proposed method treats Chinese sentences as subgraphs of the CCSKG and uses graph algorithms to correct Chinese typos and achieve good results. The experimental results show that compared with keras-bert and pycorrector + ernie, our method reduces the false acceptance rate by 38.28% and improves the recall rate by 40.91% in the field of learning Chinese as a foreign language. The CCSKG can help to promote Chinese overseas communication and international education.
文摘In terms of advancement of life to meet the challenges new method for neuropsychopharmacological research are continually developing to ensure superior safety, accuracy, efficacy, precision etc. In this experiment, we suggested and validated two neuropsychopharmacological testing methods, these are Numeral Finding (NF) and Typo Revealing (TR) tests for the determination of attention in healthy aged human participants. The objective of this experiment was to generate more effective testing methods for the assessment of attention in human. The rationality of the aforementioned methods was checked by a randomized double blind placebo controlled clinical trial for the period of 21 days among healthy aged human participants. The experiment was conducted at Gazipur Sadar, Gazipur-1703, Dhaka, Bangladesh between the period of December 2015 and March 2016. The experiment center was the Department of Pharmacy, Southeast University, Dhaka-1213, Bangladesh. In this experiment, 60 healthy male participants between the age ranges of 40 to 50 years old were selected and randomly divided by simple randomization process into 3 groups with 20 participants in each. Ginkgo biloba standardized extract’s capsule (Giloba<sup>?</sup><sup></sup> and Kobi<sup>?</sup>) was used as a standard and as a placebo control psyllium seed husk (i.e., seed of the Plantago ovata) was used after filling in the hard gelatin capsule shell (size 0). Group 1 was treated with Giloba<sup>? </sup>in which each capsule contained 120 mg Ginkgo biloba standardized extract (GBG) and group 2 was treated with Kobi<sup>?</sup> in which each capsule contained 60 mg Ginkgo biloba standardized extract (GBK). The treatment procedure for group 3 was psyllium seed husk’s capsule that served as placebo control (PC). Throughout the experiment each capsule was administered 3 times daily. Treatment with Ginkgo biloba standardized extracts for successive days markedly increased the attention of the participants with respect to PC group. In the NF test, administration of GBG and GBK extracts significantly (P P P < 0.01) increased the attention of the participants on 14<sup>th</sup> and 21<sup>st</sup> day as compared to that of PC group. For TR test treatment with GBG and GBK extracts markedly (P P P < 0.01) increased the attention of the participants on 14<sup>th</sup> and 21<sup>st</sup> day with respect to PC group. The existing experiment proved that NF and TR tests undoubtedly revealed the attention enhancing activity of the Ginkgo biloba standardized extracts in healthy aged human participants. Consequently, the recommended newly emerging methods can be used for the assessment of attention in human and will create a miracle in the domain of neuroscience.
