1,141 research outputs found

    An Improved 2DCNN With Focal Loss Function for Blade Icing Detection of Wind Turbines Under Imbalanced SCADA Data

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    sponsorship: The authors would like to acknowledge the support of the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme. Dandan Peng and Chenyu Liu acknowledge the financial support of the China Scholarship Council. (Flemish Government, China Scholarship Council)status: Published onlin

    Attention-Guided Cross-Layer Feature Fusion Convolutional Neural Network for vibration signal denoising

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    sponsorship: The authors would like to acknowledge the support of the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme. The Research Foundation Flanders (FWO) is gratefully acknowledged for its support through the ROBUSTIFY research grant no. S006119N. Dandan Peng and Chenyu Liu acknowledge the financial support of the China Scholarship Council. (Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme, Research Foundation Flanders (FWO)|S006119N, China Scholarship Council)status: Publishe

    sj-docx-1-pie-10.1177_09544089221094096 - Supplemental material for Computational fluid dynamics investigation of a misaligned-phase parallel external gear pump

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    Supplemental material, sj-docx-1-pie-10.1177_09544089221094096 for Computational fluid dynamics investigation of a misaligned-phase parallel external gear pump by Yan Qiang, Dandan Yang, Peng Zhan, Fenfen Li, Xiaomei Luo, Hongtao Gu and Liejiang Wei in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p

    sj-docx-1-tag-10.1177_17562848241237631 – Supplemental material for The emerging therapies are reshaping the first-line treatment for advanced hepatocellular carcinoma: a systematic review and network meta-analysis

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    Supplemental material, sj-docx-1-tag-10.1177_17562848241237631 for The emerging therapies are reshaping the first-line treatment for advanced hepatocellular carcinoma: a systematic review and network meta-analysis by Wei Peng, Yangxun Pan, Lan Xie, Zhoutian Yang, Zhiwei Ye, Jinbin Chen, Juncheng Wang, Dandan Hu, Li Xu, Zhongguo Zhou, Minshan Chen, Aiping Fang and Yaojun Zhang in Therapeutic Advances in Gastroenterology</p

    Advances in research on the GSSP candidate section for Cambrian Stage 10 (Furongian Series) at Wa'ergang, Hunan, South China.

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    Approved by a vote in 2005, the International Commission on Cambrian Stratigraphy (ISCS) had chosen a single horizon to define the base of the uppermost Cambrian Stage (Stage 10) at the FAD of cosmopolitan agnostoid species Lotagnostus americanus or another fossil in a comparable stratigraphic position. In following this decision, two sections have been proposed as potential GSSP candidates for the boundary, the Wa’ergang section in South China and the Khose-Nelege section in Siberia. The Wa’ergang section, which is well documented and richly fossiliferous, lies in northwestern Taoyuan County, Hunan Province, South China. It consists of a thick Cambrian-Ordovician carbonate succession in slope facies. In the section, the proposed GSSP horizon is precisely identified at 29.26 m above the base of the Shenjiawan Formation, coinciding with the FAD of Lotagnostus americanus. Detailed field study on the L. americanus-bearing interval reveals this horizon is almost identical with the lowest occurrences of two intercontinentally distributed polymerid trilobites Hedinaspis regalis and Charchaqia norini. Conondont faunas are recorded from the Waergang section, based on detailed sampling in the interval spanning the proposed GSSP horizon. The faunas contain a number of cosmopolitan species such as Proconodontus tenuiserra¬tus, P. muelleri, P. serratus, and Eoconodontus notchpeakensis, enabling to correlate the conodont succession. The yield of E. notchpeakensis is important as the lowest occurrence of the species was proposed as another horizon defining the base of Stage 10. To date, the Wa’ergang section is probably the only section in the world, which yields both Lotagnostus americanus and E. notchpeakensis and shows the great difference in stratigraphic level between their lowest occurrences. Four conodont zones are recognized in the Shenjiawan Formation. The conodont biostratigraphy of Wa’ergang section reveals that base of the P. posterocostatus Zone can be directly correlated to the proposed GSSP horizon, whereas the lowest occurrence of E. notchpeakensis is not in a comparable stratigraphic position with FAD of L. americanus but at a much higher level that is very close to the base of Ordovician. Recent isotope studies showed many negative rather than a single distinguished carbon isotope excursion (i.e. TOCE or HERB) in the uppermost stage of Cambrian elsewhere in the world. The high-resolution carbon isotope analyses for the Shenjiawan Formation in the Wa’ergang section reveals that there are two negative δ13C excursions (named as N1 and N2) preceding the HERB/ TOCE (N3) event, among which the N1 negative δ13C excursion occurs just above the proposed GSSP horizon or close to the base of conodont Proconodontus posterocostatus Zone. It represents the first significant carbon isotope excursion event following the SPICE positive excursion and can be well correlated to that in the Australian and Argentinian sections and probably that in the Laurentian section. The combination of the isotope excursion with the FADs of the globally distributed agnsotoid and conodont species and the widely distributed polymerid species as well allows a confident recognition of the base of Cambrian Stage 10 on a global scale

    Research of teaching-learning-doing integrative pattern based on modularization

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    Aiming at the state of independent about the theory teaching and practic teaching in professional education, based on the analysis of employment demand, author present the viewpoint on creating three levels training modules with modular design concept, establishing a system of the teaching in theory and pratic, seting up theory and training integrated pattern of teaching, which was applicated in curriculum of Technology and application on database in good effect. ? 2010 IEEE.EI

    Subfascial infiltration of 0.5% ropivacaine, but not 0.25% ropivacaine, exacerbates damage and inflammation in surgically incised abdominal muscles of rats.(0.5%ロピバカインによる筋膜下浸潤麻酔は、外科的切開後の筋損傷と炎症を増悪するが、0.25%ロピバカインはそれらを増悪しない)

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    信州大学(Shinshu university)博士(医学)次の雑誌に発表。 /Scientific Reports 12(1) :9409(2022); doi:10.1038/s41598-022-13628-w © 2022. The Author(s).ThesisSHEN DANDAN. Subfascial infiltration of 0.5% ropivacaine, but not 0.25% ropivacaine, exacerbates damage and inflammation in surgically incised abdominal muscles of rats.(0.5%ロピバカインによる筋膜下浸潤麻酔は、外科的切開後の筋損傷と炎症を増悪するが、0.25%ロピバカインはそれらを増悪しない). 信州大学, 2023, 博士論文. 博士(医学), 甲第1302号, 令和05年03月31日授与.doctoral thesi

    KŌDA ROHAN\nTsuyu Dandan and Nineteenth Century English Literature

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    pdfKōda Rohan recorded explanatory notes for Tsuyu Dandan (1889) as follows. "One: The ineptitude of the writing aside, to say that my literary devices are quite something and that Edward George Bulwer Lytton and William Makepeace Thackeray are really nothing is a big lie, for in fact I indulge in mere magic tricks. The discerning reader will quickly penetrate them." Here with the coyness of a neophyte author, a self-assertive attitude which emphasizes the use of as a narrative technique can be seen. This study will deal with four questions. ① What function did Kōda Rohan think that narrative technique had in Edo popular fiction? I will first investigate the topology of , clarifying this technique which overflows the boundaries of , , in connection with Lytton and Thackeray. Naturally, this will result in ③ an investigation as to whether or not Lytton and Thackeray were borrowed from Tsubouchi Shōyō's Shōsetsu shinzui, Tō sei shosei katagi, or translations. If so,④ the question of why it was not George Eliot or Charles Dickens naturally arises. Through questions ② to④ I would like to clarify the relationship between Koda Rohan and nineteenth century English literature and to capture anew the stratifications of Rohan's literature.conference pape

    Taste-active indicators and their correlation with antioxidant ability during the Monascus rice vinegar solid-state fermentation process

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    The present study evaluated the changes of taste profiles, taste active indicators, and antioxidant activity in Monascus rice vinegar during the solid-state fermentation process, as well as their potential relationships. The results showed that the contents of antioxidant components and antioxidant activity increased with fermentation time. According to the taste active value (TAV) evaluation, seven organic acids and four free amino acids (FAAs) with high TAVs were considered as taste active indicators. The correlation analysis between antioxidant activity and major antioxidant compounds in Monascus rice vinegar followed the order: FAAs>total phenols>total flavonoids>organic acids. Further analysis revealed that seven key components including acetic acid, lactic acid, tartaric acid, succinic acid, Glu, Ala, and Val were taste active indicators of antioxidant activity, which had significant effects on the taste characteristic and antioxidant activity in Monascus rice vinegar. Thus, our findings would provide references to regulate the antioxidant characteristic of Monascus rice vinegar through the key taste active indicators, and would provide new insights to further explore the development of new vinegar-based functional foods.Fil: Gao, Hang. Beijing Academy of Food Sciences; ChinaFil: Wang, Wenping. Beijing Academy of Food Sciences; ChinaFil: Xu, Dandan. Beijing Academy of Food Sciences; ChinaFil: Wang, Peng. Beijing Academy of Food Sciences; ChinaFil: Zhao, Yan. Beijing Academy of Food Sciences; ChinaFil: Mazza, German Delfor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas; ArgentinaFil: Zhang, Xin. Beijing Academy of Food Sciences; Chin

    Text mining and its applications in food safety

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    This Dissertation was approved for publication on 2021-06-22 at 12:53.DSpace SAF Submission Ingestion Package generated from Vireo submission #16700 on 2022-01-12 at 13:03:26Made available in DSpace on 2022-01-12T22:51:39Z (GMT). No. of bitstreams: 2 TAO-DISSERTATION-2021.pdf: 4462607 bytes, checksum: 56147e3303d2b9a2f1cf098b9ababd4b (MD5) LICENSE.txt: 4207 bytes, checksum: eb08965874703c9c4bb182def9ab3f49 (MD5) Previous issue date: 2021-06-22Embargo set by: Seth Robbins for item 121180 Lift date: 2024-01-12T22:51:46Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 121180 Lift date: 2024-01-12T22:53:32Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemFood safety is essential for the prevention of foodborne diseases that threaten the health of the world’s population. While numerous methods have been developed for enhancing food safety throughout the supply chain, foodborne outbreaks continue to occur and cause significant costs in the numbers of illnesses, economic burdens, and precious lives every year. The early detection of foodborne outbreaks and efficient outbreak investigation are critical for mitigating their impacts. In the era of digitalization, the availability of publicly accessible databases, and the use of the Internet, especially real-time social media, have provided a large amount of digital text data related to food safety. As more and more text information becomes accessible online, it is natural to infer that an analysis of digital text data could provide a new approach to assist outbreak investigations. The overall goal of the study was to develop data-analytical methods utilizing multiple sources of digital data, especially text data, to assist outbreak investigators in their decision-making process. Historical outbreak data from one government database and real-time consumer reports from social media were the two major sources of the data employed in this study. Food source identification was the main focus of historical outbreak data analysis using data mining tools. Through statistical models and text classification, the relationships between outbreak characteristics, food vehicles, and etiologies were discovered. In addition, the relationships among the foods and ingredients involved in historical outbreaks were illustrated by the construction of a food-food network and food-ingredient network. Using a network analysis and Monte Carlo simulation, the most important foods given specific etiologies and the most probable ingredients given specific foods were identified. The knowledge discovered in the historical outbreaks could be useful in future outbreak investigation by providing insights for source attributions. The second part of the study utilized social media to identify consumer reports of relevance to food safety. A dual-task BERTweet model, a pre-trained language deep learning model for English Tweets, was developed to allow the detection of unreported foodborne illnesses from Twitter and the extraction of important entities associated with the cases. The model outperformed previous models and generated essential information (e.g., food, symptoms) useful in the analysis of potential outbreaks. Social media text mining was also applied to detect farmer’s market topics (e.g., food safety) on Twitter and Yelp, which may provide health departments with insights on the hygiene conditions of local farmers markets based on consumer responses. In summary, this study contributed to (1) the development of data science approaches as new protocols for analyzing digital textural data related to food safety; (2) improving our understanding of the roles played by different sources of data and of how to integrate multi-source of data; and (3) the cross-pollination of two scientific research domains - food science and computer science - by elucidating how big-data-mediated computational tools may contribute to more effective decision-making in food safety scenarios.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-08-01The student, Dandan Tao, accepted the attached license on 2021-06-21 at 11:51.The student, Dandan Tao, submitted this Dissertation for approval on 2021-06-21 at 18:33.Embargo set by: Seth Robbins for item 121180 Lift date: 2024-01-12T22:54:14Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 121180 Lift date: 2024-01-12T22:55:09Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 121180 Lift date: 2024-01-12T22:56:20Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemAuthor requested closed access (OA after 2yrs) in Vireo ETD systemLimite
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