Event extraction stands as a significant endeavor within the realm of information extraction,aspiring to automatically extract structured event information from vast volumes of unstructured text.Extracting event eleme...Event extraction stands as a significant endeavor within the realm of information extraction,aspiring to automatically extract structured event information from vast volumes of unstructured text.Extracting event elements from multi-modal data remains a challenging task due to the presence of a large number of images and overlapping event elements in the data.Although researchers have proposed various methods to accomplish this task,most existing event extraction models cannot address these challenges because they are only applicable to text scenarios.To solve the above issues,this paper proposes a multi-modal event extraction method based on knowledge fusion.Specifically,for event-type recognition,we use a meticulous pipeline approach that integrates multiple pre-trained models.This approach enables a more comprehensive capture of the multidimensional event semantic features present in military texts,thereby enhancing the interconnectedness of information between trigger words and events.For event element extraction,we propose a method for constructing a priori templates that combine event types with corresponding trigger words.This approach facilitates the acquisition of fine-grained input samples containing event trigger words,thus enabling the model to understand the semantic relationships between elements in greater depth.Furthermore,a fusion method for spatial mapping of textual event elements and image elements is proposed to reduce the category number overload and effectively achieve multi-modal knowledge fusion.The experimental results based on the CCKS 2022 dataset show that our method has achieved competitive results,with a comprehensive evaluation value F1-score of 53.4%for the model.These results validate the effectiveness of our method in extracting event elements from multi-modal data.展开更多
Farm animal welfare(FAW) affects the health and sustainable development of animal husbandry. However, at present,there are still a lot of damage to FAW, and the situation of FAW in China is worrying. In this paper, th...Farm animal welfare(FAW) affects the health and sustainable development of animal husbandry. However, at present,there are still a lot of damage to FAW, and the situation of FAW in China is worrying. In this paper, the concept of FAW and brand are sketched and the importance of FAW is emphasized through analyzing the impact of FAW on the brand and consumption of animal products in China. Advices that more importance should be attached to FAW, animal welfare awareness should be promoted to publicity, and FAW legislation should be speed up are proposed.展开更多
Music is a form of art that people use to relax, entertain, or express their inner feelings as they act on his particular occasion. Modern scientific research shows that animals, like humans, have complex nervous syst...Music is a form of art that people use to relax, entertain, or express their inner feelings as they act on his particular occasion. Modern scientific research shows that animals, like humans, have complex nervous systems and have certain perception of music. Music can affect animal emotions, affect animal immune function and so on. As people pay more attention to farm animal welfare, more and more researches regard music as a means to improve animal welfare. In this context, the research on the impact of music on the welfare of swine has also begun to attract attention in recent years. This paper briefly reviews the related concepts of animal welfare, its relationship with humans, the mechanism of music and its research on the impact on swine in order to attract more professionals and researchers in animal welfare, music and pig farming.展开更多
Not so much attention has been paid to animal welfare in many pig farms in China yet and there are still some violations of Animal Welfare Practices.Breeding boar is the core of modern pig farm,which is responsible fo...Not so much attention has been paid to animal welfare in many pig farms in China yet and there are still some violations of Animal Welfare Practices.Breeding boar is the core of modern pig farm,which is responsible for the reproductive task of supplying sperm for sows. With the development of artificial insemination,breeding boar plays an increasingly important role in pig production and the welfare of it is becoming more and more important. The problems existing in the welfare of breeding boar in China scale pig farm were analyzed from the aspects of rearing method,feed,environment condition,exercise,artificial semen collection,sexual behavior and environment enrichment and the corresponding measures or countermeasures were put forwards to improve their welfare level.展开更多
Objective:To establish HPLC fingerprints of different parts of chicory stems,leaves,roots,flowers and seeds,and compare the similarities and differences of chemical components in different parts,so as to provide a sci...Objective:To establish HPLC fingerprints of different parts of chicory stems,leaves,roots,flowers and seeds,and compare the similarities and differences of chemical components in different parts,so as to provide a scientific basis for the comprehensive utilization of chicory.Methods:To establish the HPLC fingerprint of chicory,the chromatographic column was chosen with Agilent ZORBAX Eclipse XDB-C_(18),the mobile phase was methanol(A)-0.2%formic acid(B),the flow rate was 1 mL/min,the column temperature was 30℃,and the detection wavelength was 254 nm.The Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition)was used to evaluate the similarity of different parts of decoction pieces,and the determination method of multi-component content was established based on fingerprint identification chromatographic peaks,and the determination results were analyzed.Results:The HPLC fingerprinting method of chicory was established.Sixteen chromatographic peaks were identified and 10 of them were identified as:caftaric acid(1),esculin(2),chlorogenic acid(3),esculetin(4),caffeic acid(5),cichoric acid(8),hyperoside(11),rutin(12),isochlorogenic acid C(14)and luteolin(16).The similarity of different parts was 0.084–0.701.At the same time,the total content of detected chemical components was ranked as flower>leaf>stem>root>seed.Roots did not contain caftaric acid,rutin,and luteolin,flowers did not contain luteolin,and seeds did not contain caftaric acid,cichoric acid,and luteolin.The content of cichoric acid in leaves was the most,and esculin in flowers was the most.Conclusion:The results of HPLC fingerprint and multi-component content determination revealed the similarity and difference of different parts of chicory from chemical composition,indicating that there were certain differences in different parts of chicory.The established HPLC fingerprinting method can provide a reference for quality control and evaluation of different parts of the chicory.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.81973695)Discipline with Strong Characteristics of Liaocheng University-Intelligent Science and Technology(Grant No.319462208).
文摘Event extraction stands as a significant endeavor within the realm of information extraction,aspiring to automatically extract structured event information from vast volumes of unstructured text.Extracting event elements from multi-modal data remains a challenging task due to the presence of a large number of images and overlapping event elements in the data.Although researchers have proposed various methods to accomplish this task,most existing event extraction models cannot address these challenges because they are only applicable to text scenarios.To solve the above issues,this paper proposes a multi-modal event extraction method based on knowledge fusion.Specifically,for event-type recognition,we use a meticulous pipeline approach that integrates multiple pre-trained models.This approach enables a more comprehensive capture of the multidimensional event semantic features present in military texts,thereby enhancing the interconnectedness of information between trigger words and events.For event element extraction,we propose a method for constructing a priori templates that combine event types with corresponding trigger words.This approach facilitates the acquisition of fine-grained input samples containing event trigger words,thus enabling the model to understand the semantic relationships between elements in greater depth.Furthermore,a fusion method for spatial mapping of textual event elements and image elements is proposed to reduce the category number overload and effectively achieve multi-modal knowledge fusion.The experimental results based on the CCKS 2022 dataset show that our method has achieved competitive results,with a comprehensive evaluation value F1-score of 53.4%for the model.These results validate the effectiveness of our method in extracting event elements from multi-modal data.
基金Surported by Xuzhou Vocational College of Bioengineering 2017 Science and Technology Project-A Preliminary Study on Farm Animal Welfare(2017KY07)Xuzhou Vocational College of Bioengineering Animal Husbandry and Veterinary Brand Profession Construction Fund
文摘Farm animal welfare(FAW) affects the health and sustainable development of animal husbandry. However, at present,there are still a lot of damage to FAW, and the situation of FAW in China is worrying. In this paper, the concept of FAW and brand are sketched and the importance of FAW is emphasized through analyzing the impact of FAW on the brand and consumption of animal products in China. Advices that more importance should be attached to FAW, animal welfare awareness should be promoted to publicity, and FAW legislation should be speed up are proposed.
基金Supported by Xuzhou Vocational College of Bioengineering 2017 Science and Technology Project(2017KY07)Xuzhou Vocational College of Bioengineering Animal Husbandry and Veterinary Brand Profession Construction Fund
文摘Music is a form of art that people use to relax, entertain, or express their inner feelings as they act on his particular occasion. Modern scientific research shows that animals, like humans, have complex nervous systems and have certain perception of music. Music can affect animal emotions, affect animal immune function and so on. As people pay more attention to farm animal welfare, more and more researches regard music as a means to improve animal welfare. In this context, the research on the impact of music on the welfare of swine has also begun to attract attention in recent years. This paper briefly reviews the related concepts of animal welfare, its relationship with humans, the mechanism of music and its research on the impact on swine in order to attract more professionals and researchers in animal welfare, music and pig farming.
基金Surported by Xuzhou Vocational College of Bioengineering 2017 Science and Technology Project-A Preliminary Study on Farm Animal Welfare(2017KY07)Xuzhou Vocational College of Bioengineering Animal Husbandry and Veterinary Brand Profession Construction Fund
文摘Not so much attention has been paid to animal welfare in many pig farms in China yet and there are still some violations of Animal Welfare Practices.Breeding boar is the core of modern pig farm,which is responsible for the reproductive task of supplying sperm for sows. With the development of artificial insemination,breeding boar plays an increasingly important role in pig production and the welfare of it is becoming more and more important. The problems existing in the welfare of breeding boar in China scale pig farm were analyzed from the aspects of rearing method,feed,environment condition,exercise,artificial semen collection,sexual behavior and environment enrichment and the corresponding measures or countermeasures were put forwards to improve their welfare level.
基金financial support of the industry special project for the public welfare of the State Administration of Traditional Chinese Medicine of China(00104296)。
文摘Objective:To establish HPLC fingerprints of different parts of chicory stems,leaves,roots,flowers and seeds,and compare the similarities and differences of chemical components in different parts,so as to provide a scientific basis for the comprehensive utilization of chicory.Methods:To establish the HPLC fingerprint of chicory,the chromatographic column was chosen with Agilent ZORBAX Eclipse XDB-C_(18),the mobile phase was methanol(A)-0.2%formic acid(B),the flow rate was 1 mL/min,the column temperature was 30℃,and the detection wavelength was 254 nm.The Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition)was used to evaluate the similarity of different parts of decoction pieces,and the determination method of multi-component content was established based on fingerprint identification chromatographic peaks,and the determination results were analyzed.Results:The HPLC fingerprinting method of chicory was established.Sixteen chromatographic peaks were identified and 10 of them were identified as:caftaric acid(1),esculin(2),chlorogenic acid(3),esculetin(4),caffeic acid(5),cichoric acid(8),hyperoside(11),rutin(12),isochlorogenic acid C(14)and luteolin(16).The similarity of different parts was 0.084–0.701.At the same time,the total content of detected chemical components was ranked as flower>leaf>stem>root>seed.Roots did not contain caftaric acid,rutin,and luteolin,flowers did not contain luteolin,and seeds did not contain caftaric acid,cichoric acid,and luteolin.The content of cichoric acid in leaves was the most,and esculin in flowers was the most.Conclusion:The results of HPLC fingerprint and multi-component content determination revealed the similarity and difference of different parts of chicory from chemical composition,indicating that there were certain differences in different parts of chicory.The established HPLC fingerprinting method can provide a reference for quality control and evaluation of different parts of the chicory.
