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Unsupervised learning of charge-discharge cycles from various lithium-ion battery cells to visualize dataset characteristics and to interpret model performance

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Energy and AI 2024年第3期17卷 397-405页

作者： Akihiro Yamashita sascha berg Egbert Figgemeier Helmholtz Institute Münster:Ionics in Energy Storage(IMD-4/HI MS) Forschungszentrum JülichJülichGermany Institute for Power Electronics and Electrical Drives(ISEA) RWTH Aachen UniversityAachenGermany Jülich Aachen Research Alliance JARA-EnergyGermany

Machine learning (ML) is a rapidly growing tool even in the lithium-ion battery (LIB) research field. To utilize this tool, more and more datasets have been published. However, applicability of a ML model to different information sources or various LIB cell types has not been well studied. In this paper, an unsupervised learning model called variational autoencoder (VAE) is evaluated with three datasets of charge-discharge cycles with different conditions. The model was first trained with a publicly available dataset of commercial cylindrical cells, and then evaluated with our private datasets of commercial pouch and hand-made coin cells. These cells used different chemistry and were tested with different cycle testers under different purposes, which induces various characteristics to each dataset. We report that researchers can recognise these characteristics with VAE to plan a proper data preprocessing. We also discuss about interpretability of a ML model.

关键词： Unsupervised learning Dimensionality reduction Inductive bias .Machine learning Variational autoencoder

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Huge primitive neuroectodermal tumor of the pancreas:Report of a case and review of the literature

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World Journal of Gastroenterology 2006年第37期12卷 6070-6073页

作者： Thilo Welsch Gunhild Mechtersheimer Sebastian Aulmann sascha A Mueller Markus W Buechler Jan Schmidt Peter Kienle Deptartment of Surgery University of Heidelberg INF 110 D-69120 Heidelberg Germany Deptartment of Pathology University of Heidelberg INF 220 D-69120 Heidel- berg Germany

Primitive neuroectodermal tumor (PNET) of the pancreas is an extremely rare tumor that usually occurs in children or young adults. We report a case of a 33-year-old male patient with an 18 cm × 18 cm × 16 cm mass arising from the pancreatic body and tail with a one- day history of abdominal pain. Initial CT scan showed no signs of metastatic tumor spread. The tumor caused intrabdominal bleeding and the patient underwent primary tumor resection including partial gastrectomy, left pancreatic resection and splenectomy. Diagnosis of PNET was confi rmed by histology, immunohistochemistry and FISH analysis. All neoplastic cells were stained positive for MIC2-protein (CD99). Approximately one month after surgery, several liver metastases were observed and the patient underwent chemotherapy according to the Euro- Ewing protocol. Subsequent relaparotomy excluded any residual hepatic or extrahepatic abdominal metastases. Although PNET in the pancreas is an extremely rare entity, it should be considered in the diffential diagnosis of pancreatic masses, especially in young patients. This alarming case particularly illustrates that PNET in the pancreas although in an advanced stage can present with only a short history of mild symptoms.

关键词： Primitive neuroectodermal tumor Pancreas MIC2-protein Ewing sarcoma Abdominal mass

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Fundamental Neuroscience 2nd

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2003年

作者： Larry Squire Darwin berg Floyd E. Bloom sascha du Lac Anirvan Ghosh Larry R. Squire Nicholas C. Spitzer Susan K. McConnell James L. Roberts Michael J. Zigmond

ISBN: (纸本)9780126603033;9780080521800

With over 300 training programs in neuroscience currently in existence, demand is great for a comprehensive textbook that both introduces graduate students to the full range of neuroscience, from molecular biology to clinical science, but also assists instructors in offering an in-depth course in neuroscience to advanced *** second edition of Fundamental Neuroscience accomplishes all this and more. The thoroughly revised text features over 25% new material including completely new chapters, illustrations, and a CD-ROM containing all the figures from the text. More concise and manageable than the previous edition, this book has been retooled to better serve its audience in the neuroscience and medical *** Features• Logically organized into 7 sections, with uniform editing of the content for a''one-voice''feel throughout all 54 chapters• Includes numerous text boxes with concise, detailed descriptions of specific experiments, disorders, methodological approaches, and concepts• Well-illustrated with over 850 full color figures, also included on the accompanying CD-ROM

关键词： Neurosciences

来源：畅想之星图书光盘版（南... 评论

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