cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.o00113.00006
title: Land use viromes
title: Land use viromes

description: Here we investigated the ecological patterns of soil viral communities across various land use types encompassing forest, agricultural, and urban soil.
description: Here we investigated the ecological patterns of soil viral communities across various land use types encompassing forest, agricultural, and urban soil.
DOI: 10.57760/sciencedb.o00114.00036
title: Automatic Extraction Method of Mongolian Synonymous Compounds
title: 蒙古语近义复合词自动抽取方法研究

description: This paper proposes an automatic extraction method of Mongolian synonymous compounds based on multiple resources such as dictionary resources, lexical semantic knowledge base resources, and corpus resources, and conducts experimental research on the basis of them. The experimental results of single methods show that the method based on dictionary resources has the highest accuracy, reaching 95.2%, and the method based on lexical semantic knowledge base resources has the highest recall rate and F-measure, reaching 66.7% and 78.2%. The fusion of the three methods overcomes the deficiency of using only one resource method, effectively improves the performance of the method, and realizes the multi-angle and complementary synonym extraction. Compared with the method of using one resource, the experimental results of the fusion method have been improved to varying degrees, and its accuracy, recall rate and F-measure have reached 86.5%, 98.2% and 92% respectively.
description: This paper proposes an automatic extraction method of Mongolian synonymous compounds based on multiple resources such as dictionary resources, lexical semantic knowledge base resources, and corpus resources, and conducts experimental research on the basis of them. The experimental results of single methods show that the method based on dictionary resources has the highest accuracy, reaching 95.2%, and the method based on lexical semantic knowledge base resources has the highest recall rate and F-measure, reaching 66.7% and 78.2%. The fusion of the three methods overcomes the deficiency of using only one resource method, effectively improves the performance of the method, and realizes the multi-angle and complementary synonym extraction. Compared with the method of using one resource, the experimental results of the fusion method have been improved to varying degrees, and its accuracy, recall rate and F-measure have reached 86.5%, 98.2% and 92% respectively.
DOI: 10.57760/sciencedb.o00114.00040
title: Construction of a dictionary of grammatical information of local special words in Horqin dialect
title: 《科尔沁方言土语特殊词语法信息词典》的构建

description: The grammar information dictionary of special words in Horqin dialect (hereinafter referred to as the grammar information dictionary of special words) is oriented to information processing and is built on the knowledge resources of Horqin Narrative Folk Song Lyrics database (hereinafter referred to as the lyrics database).It is an electronic di ctionary developed for automatic analysis and automatic generation of native language sentences in Mongolian Horqin dialect.It includes the lexical changes and syntactic functions of special words in Horqin dialect. This paper introduces the construction p rinciple, structure, word receiving principle, attribute field and its attribute value so on
description: The grammar information dictionary of special words in Horqin dialect (hereinafter referred to as the grammar information dictionary of special words) is oriented to information processing and is built on the knowledge resources of Horqin Narrative Folk Song Lyrics database (hereinafter referred to as the lyrics database).It is an electronic di ctionary developed for automatic analysis and automatic generation of native language sentences in Mongolian Horqin dialect.It includes the lexical changes and syntactic functions of special words in Horqin dialect. This paper introduces the construction p rinciple, structure, word receiving principle, attribute field and its attribute value so on
DOI: 10.57760/sciencedb.o00114.00056
title: Discussion on Multi-language Hybrid Intelligent Processing of Silk Road
title: 丝路多语言混合智能处理探讨

description: 1. New requirements and opportunities for NLP; 2. Key common technologies for hybrid intelligent processing, including brain-computer fusion principles and technology, knowledge computing engine technology, cross-media analysis and inference technology, big data learning technology, natural language understanding technology Etc., as well as its application requirements in NLP. 3.Major scientific problems to be solved in natural language hybrid intelligent processing.
description: 1. New requirements and opportunities for NLP; 2. Key common technologies for hybrid intelligent processing, including brain-computer fusion principles and technology, knowledge computing engine technology, cross-media analysis and inference technology, big data learning technology, natural language understanding technology Etc., as well as its application requirements in NLP. 3.Major scientific problems to be solved in natural language hybrid intelligent processing.
DOI: 10.57760/sciencedb.o00025.00001
title: kocak-19 vaccine candidate (covid-19)
title: kocak-19 vaccine candidate (covid-19)

description: Here we report the development of an inactivated SARS-CoV-2 vaccine candidate and show that its efficacy and safety in preclinical studies warrant further clinical evaluation. Efficiency and possible side effects of vaccine candidate on different doses were evaluated using histopathology, K18 hACE2 transgenic mice challenge, T-cell response, and serum neutralization test in Balb/c mice.
description: Here we report the development of an inactivated SARS-CoV-2 vaccine candidate and show that its efficacy and safety in preclinical studies warrant further clinical evaluation. Efficiency and possible side effects of vaccine candidate on different doses were evaluated using histopathology, K18 hACE2 transgenic mice challenge, T-cell response, and serum neutralization test in Balb/c mice.
DOI: 10.57760/sciencedb.o00114.00039
title: Emotion Guidance Dialogue Response Generation Model
title: 情感导向对话回复生成模型

description: Although existing emotion dialogue generation models can generate reply statements with emotions, they do not consider the problem of poor emotional experience caused by changes in the emotions of both parties in the dialogue. To solve the above problems and realize emotion dialogue response generation, this paper proposes an emotion response generation method EGRGM based on deep neural network. It identifies user emotion and decides to reply emotion during the dialogue, and finally controls the generation of emotion response to realize the guidance of user emotion. The experimental results show that the EGRGM model achieves good results in terms of emotion guidance ability, emotion expression ability and content quality compared with the baseline model, which verifies the response generation ability of this model in emotion dialogues.
description: Although existing emotion dialogue generation models can generate reply statements with emotions, they do not consider the problem of poor emotional experience caused by changes in the emotions of both parties in the dialogue. To solve the above problems and realize emotion dialogue response generation, this paper proposes an emotion response generation method EGRGM based on deep neural network. It identifies user emotion and decides to reply emotion during the dialogue, and finally controls the generation of emotion response to realize the guidance of user emotion. The experimental results show that the EGRGM model achieves good results in terms of emotion guidance ability, emotion expression ability and content quality compared with the baseline model, which verifies the response generation ability of this model in emotion dialogues.
DOI: 10.57760/sciencedb.o00114.00043
title: Multilingual Neural Machine Translation Model
title: 多语言神经机器翻译模型

description: Because of the great difference in word order between different languages in machine translation,the translation model has the problem of wrong translation.Translation models with the same target language and different source languages learn different word order information,resulting in different translation quality.Therefore,this paper proposes a multilingual neural machine translation model with multiple languages at the source and one language at the target.Multiple languages with different word orders participate in the model training at the same time,so that the model can learn multiple word order information of sentences with the same meaning.First,170,000 Russian-Uzbek-Uyghur-English-Chinese parallel corpus is constructed.On this basis,different source languages are added with specified language tags by using the method of adding language tags,and then mixed as a new data set to train a multilingual translation model.In addition,four multilingual neural machine translation models,stacking,parallel,fusion and sublayer fusion,are realized by modifying the Transformer model method.The experimental results show that the method of adding language tags can partially improve the performance of bilingual translation,and the quality of translation can be further improved after the source language is rewritten with Latin letters;The modified four Multilingual models can improve the quality of translation models
description: Because of the great difference in word order between different languages in machine translation,the translation model has the problem of wrong translation.Translation models with the same target language and different source languages learn different word order information,resulting in different translation quality.Therefore,this paper proposes a multilingual neural machine translation model with multiple languages at the source and one language at the target.Multiple languages with different word orders participate in the model training at the same time,so that the model can learn multiple word order information of sentences with the same meaning.First,170,000 Russian-Uzbek-Uyghur-English-Chinese parallel corpus is constructed.On this basis,different source languages are added with specified language tags by using the method of adding language tags,and then mixed as a new data set to train a multilingual translation model.In addition,four multilingual neural machine translation models,stacking,parallel,fusion and sublayer fusion,are realized by modifying the Transformer model method.The experimental results show that the method of adding language tags can partially improve the performance of bilingual translation,and the quality of translation can be further improved after the source language is rewritten with Latin letters;The modified four Multilingual models can improve the quality of translation models
DOI: 10.57760/sciencedb.o00069.00006
title: Frequency Dependent Polarization of Repeating Fast Radio Bursts - Implications for Their Origin
title: Frequency Dependent Polarization of Repeating Fast Radio Bursts - Implications for Their Origin

description: We observed repeating FRBs FRB 20121102A, FRB 20190520B, FRB 20190303A, FRB 20190417A, and FRB 20201124A using the Five-hundred-meter Aperture Spherical radio Telescope (FAST) and the Robert C. Byrd Green Bank Telescope (GBT). The data set includes the dynamic spectra of these FRB bursts. Stokes I,Q,U and V are stored in the files.
description: We observed repeating FRBs FRB 20121102A, FRB 20190520B, FRB 20190303A, FRB 20190417A, and FRB 20201124A using the Five-hundred-meter Aperture Spherical radio Telescope (FAST) and the Robert C. Byrd Green Bank Telescope (GBT). The data set includes the dynamic spectra of these FRB bursts. Stokes I,Q,U and V are stored in the files.
DOI: 10.57760/sciencedb.o00008.00040
title: A spatial and temporal dataset of atmospheric inorganic nitrogen wet deposition in China (1996 – 2015)
title: 1996-2015年中国大气无机氮湿沉降空间格局数据集

description: Based on the site-year data of inorganic wet N deposition from published literature, we built the spatial dataset of wet N deposition during 1996 – 2000, 2001 – 2005, 2006 – 2010, and 2011 – 2015 in China by using geostatistical method. This dataset includes NH4+-N, NO3--N and DIN (sum of NH4+-N and NO3--N), with spatial resolution of 1 km×1 km, and it is in .tiff format.The data do not include Taiwan and the South China Sea Islands. All data of the dataset are generated by ArcGIS software with tiff format, which can be viewed and used in the visual geographic information system software supporting the above format. This data is applicable to the spatial distribution trend assessment of nitrogen deposition and its ecological and environmental effects, but there may be some errors in the single point assessment of nitrogen deposition and its impact.
description: Based on the site-year data of inorganic wet N deposition from published literature, we built the spatial dataset of wet N deposition during 1996 – 2000, 2001 – 2005, 2006 – 2010, and 2011 – 2015 in China by using geostatistical method. This dataset includes NH4+-N, NO3--N and DIN (sum of NH4+-N and NO3--N), with spatial resolution of 1 km×1 km, and it is in .tiff format.The data do not include Taiwan and the South China Sea Islands. All data of the dataset are generated by ArcGIS software with tiff format, which can be viewed and used in the visual geographic information system software supporting the above format. This data is applicable to the spatial distribution trend assessment of nitrogen deposition and its ecological and environmental effects, but there may be some errors in the single point assessment of nitrogen deposition and its impact.
DOI: 10.57760/sciencedb.o00113.00002
title: 16S rDNA sequences of cilantro phyllosphere
title: 16S rDNA sequences of cilantro phyllosphere

description: 16S rDNA sequences of cilantro phyllosphere with two cultivars and the corresponding soil.Pot experiment in 2017.
description: 16S rDNA sequences of cilantro phyllosphere with two cultivars and the corresponding soil.Pot experiment in 2017.
DOI: 10.57760/sciencedb.o00114.00044
title: Research on Classification of Kazakh Tourist Questions Combined With Multiple Linguistic Features
title: 融合多种语言学特征的哈萨克语旅游问句分类研究

description: Kazakh is an adhesive language with the rich vocabulary, and this characteristic causes data to be sparse to a certain extent. Additionally, Kazakh tourist questions have no strict grammatical rules, and the keywords in the text have unclear boundaries, nesting, and irregular expressions. Traditional BiGRU cannot extract comprehensive and effective text features, and OOV words cannot be fully recognized. Due to this, this article is based on the Kazakh tourism text Linguistic features proposes a question classification model that combines multiple linguistic features and attention mechanisms. As input, Kazakh words and linguistic features are used, and context information is modeled by the BiGRU layer, focusing on the input features, filtering useless information, and finally completing classification with Softmax. As there is no extensive data set in the tourism area, a set of Kazakh questions was constructed to fill the gap. This study demonstrates that the model proposed here successfully combines linguistic and domain features, avoids the problem of sparse data, and performs better when it comes to the classification of Kazakh tourism questions.
description: Kazakh is an adhesive language with the rich vocabulary, and this characteristic causes data to be sparse to a certain extent. Additionally, Kazakh tourist questions have no strict grammatical rules, and the keywords in the text have unclear boundaries, nesting, and irregular expressions. Traditional BiGRU cannot extract comprehensive and effective text features, and OOV words cannot be fully recognized. Due to this, this article is based on the Kazakh tourism text Linguistic features proposes a question classification model that combines multiple linguistic features and attention mechanisms. As input, Kazakh words and linguistic features are used, and context information is modeled by the BiGRU layer, focusing on the input features, filtering useless information, and finally completing classification with Softmax. As there is no extensive data set in the tourism area, a set of Kazakh questions was constructed to fill the gap. This study demonstrates that the model proposed here successfully combines linguistic and domain features, avoids the problem of sparse data, and performs better when it comes to the classification of Kazakh tourism questions.
DOI: 10.14457/cu.the.2004.921
title: การพัฒนาเครื่องยนต์จุดระเบิดด้วยการอัดชนิดห้องเผาไหม้ล่วงหน้า ให้เป็นอุปกรณ์ต้นแบบ สำหรับสังเกตการณ์การเผาไหม้แบบอัดตัวของละอองฝอย
DOI: 10.14457/cu.the.2004.922
title: ผลของการมีส่วนร่วมในการสร้างแบบบันทึกทางการพยาบาลแผนกสูติกรรม ต่อความพึงพอใจในการทำงานของทีมการพยาบาล
DOI: 10.14457/cu.the.2004.924
title: ความสัมพันธ์ระหว่างปัจจัยส่วนบุคคล แรงจูงใจใฝ่สัมฤทธิ์ การสนับสนุนจากองค์การ กับความสำเร็จในวิชาชีพของพยาบาลวิชาชีพ โรงพยาบาล มหาวิทยาลัยของรัฐ
DOI: 10.14457/cu.the.2004.926
title: ผลของการใช้กลุ่มบำบัดประคับประคองต่อภาวะซึมเศร้า ในผู้สูงอายุโรคซึมเศร้า
DOI: 10.14457/cu.the.2004.927
title: การศึกษาการใช้ผลการวิจัยและผลกระทบจากการทำวิจัย ในชั้นเรียนของครูนักวิจัย
DOI: 10.14457/cu.the.2004.929
title: การใช้ความรุนแรงในนักเรียนมัธยมศึกษา : กรณีศึกษา โรงเรียนมัธยมศึกษาในกรุงเทพมหานคร
DOI: 10.17632/hsrdkj66y6.1
title: Confirmation of coumarin derivatives through NMR and HRMS

description: Proton and Carbon NMR spectra, HRMS and fragmentation paterns.
DOI: 10.14457/cu.the.2003.304
title: โครงสร้างเงินทุนของธุรกิจ SMEs ในประเทศไทย
DOI: 10.14457/cu.the.2004.933
title: จริยศาสตร์สตรีนิยมกับมโนทัศน์ เรื่องมิตรภาพและตัวตนของอริสโตเติล
DOI: 10.14457/cu.the.2004.934
title: การศึกษาการพัฒนาหลักสูตรท้องถิ่นที่จัดโดยชุมชน : กรณีศึกษา โรงเรียนชุมชนตำบลบ้านหลวง อำเภอเสนา จังหวัดพระนครศรีอยุธยา
DOI: 10.14457/cu.the.2004.935
title: ผลของการใช้เทคนิคการจัดข้อมูลด้วยแผนภาพ ในการเรียนการสอนคณิตศาสตร์ ที่มีต่อผลสัมฤทธิ์ทางการเรียน ความคงทนในการเรียนรู้ และความสามารถในการนำเสนอข้อมูลทางคณิตศาสตร์ด้วยแผนภาพ ของนักเรียนเตรียมทหาร
DOI: 10.17632/th8bgn6cy8.1
title: Raw XRD and tensile test data concerning intercritically annealed High-Al Q&P steels.
DOI: 10.17632/vgvdv5b949.1
title: Phospho-regulation of ATOH1 is required for plasticity of secretory progenitors and tissue regeneration. Tomic et al.
DOI: 10.5281/zenodo.1319993
title: Anonymised Patient Dataset Used For Training Purposes

description: A small made-up dataset which is often used for training purposes (https://www.rpubs.com/Shoaib29/323077). It contains information about 100 lung cancer patients aged 42-44 from different states in the US.
DOI: 10.5281/zenodo.1319994
title: Anonymised Patient Dataset Used For Training Purposes

description: A small made-up dataset which is often used for training purposes (https://www.rpubs.com/Shoaib29/323077). It contains information about 100 lung cancer patients aged 42-44 from different states in the US.
DOI: 10.17632/4nchsm53k2.1
title: Non-Invasive Sensoring for Elderly Monitoring (Dataset)

description: Dataset Folder contains 2 files: and 1 folder:- a)Common_Test.csv - contains 269476 observations for testing. b)Common_Train.csv - contains 1011626 observations for training. c)Research Code folder contains all the code of the paper. CNN.ipynb - cnn algorithm implementation. LSTM.ipynb - lstm algorithm implementation. Shoes_CNN+LSTM.ipynb - implementation using combination of cnn and lstm.
DOI: 10.17632/8y9dbmhngz.1
title: Data for: Investigation of 4-pyridyl liquid crystals on the photovoltaic performance and stability of dye sensitized solar cells by the co-sensitization
DOI: 10.17632/r536xfm8yc.1
title: Processed XRD and tensile test data concerning intercritically annealed High-Al Q&P steels
DOI: 10.5255/ukda-sn-7972-3
title: British Election Study, 2015: Face-to-Face Post-Election Survey
DOI: 10.5281/zenodo.1320147
title: Kglove Dbpedia Uniform Embeddings

description: This dataset contains the vectors from computing KGloVe embeddings from a uniformly weighted DBpedia 2016-04 graph.

For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.

The parameter settings for the embedding are as specified in the paper:

Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I.
DOI: 10.5281/zenodo.1320148
title: Kglove Dbpedia Uniform Embeddings

description: This dataset contains the vectors from computing KGloVe embeddings from a uniformly weighted DBpedia 2016-04 graph.

For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.

The parameter settings for the embedding are as specified in the paper:

Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I.
DOI: 10.5281/zenodo.1320154
title: Kglove Dbpedia Predicate Object Frequency Embeddings

description: This dataset contains the vectors from computing KGloVe embeddings from a predicate object frequency weighted DBpedia 2016-04 graph.

For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.

The parameter settings for the embedding are as specified in the paper:

Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I.
DOI: 10.5281/zenodo.1308909
title: Outgrowth Of Tumors In Immunocompetent Mice Expressing Libraries Of Presenter Minigenes

description: Minigene sequencing of RMA/S tumors expressing libraries of PresentER peptide antigen minigenes after 17 days of growth in immunocompetent mice. "Pool 13" are wild type peptide minigenes. "Pool 18" are mutant peptide minigenes.
DOI: 10.5281/zenodo.1308910
title: Outgrowth Of Tumors In Immunocompetent Mice Expressing Libraries Of Presenter Minigenes

description: Minigene sequencing of RMA/S tumors expressing libraries of PresentER peptide antigen minigenes after 17 days of growth in immunocompetent mice. "Pool 13" are wild type peptide minigenes. "Pool 18" are mutant peptide minigenes.
DOI: 10.5281/zenodo.1309836
title: Outgrowth Of Tumors Expressing Libraries Of Presenter Minigenes In Vaccinated Or Unvaccinated Immunocompetent Mice

description: Minigene sequencing of RMA/S tumors expressing libraries of PresentER peptide antigen minigenes after 17 days of growth in immunocompetent mice that were either vaccinated or nonvaccinated. "Pool 13" are wild type peptide minigenes. "Pool 18" are mutant peptide minigenes.
DOI: 10.5281/zenodo.1309837
title: Outgrowth Of Tumors Expressing Libraries Of Presenter Minigenes In Vaccinated Or Unvaccinated Immunocompetent Mice

description: Minigene sequencing of RMA/S tumors expressing libraries of PresentER peptide antigen minigenes after 17 days of growth in immunocompetent mice that were either vaccinated or nonvaccinated. "Pool 13" are wild type peptide minigenes. "Pool 18" are mutant peptide minigenes.
DOI: 10.5281/zenodo.1310901
title: Outgrowth Of Transferred Tumors Expressing Libraries Of Presenter Minigenes In Immunocompetent And Immunodeficient Mice

description: Minigene sequencing of RMA/S tumors grown in RAG deficient mice, harvested and then transferred and grown in WT or RAG mice. "Pool 13" are wild type peptide minigenes. "Pool 18" are mutant peptide minigenes.