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您的检索式：作者名="Eric Juarez"
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| 1 | Benchmarking graph neural networks for materials chemistry显示文摘Graph neural networks(GNNs)have received intense interest as a rapidly expanding class of machine learning models remarkably well-suited for materials applications.To date,a number of successful GNNs have been proposed and demonstrated for systems ranging from crystal stability to electronic property prediction and to surface chemistry and heterogeneous catalysis.However,a consistent benchmark of these models remains lacking,hindering the development and consistent evaluation of new models in the materials field.Here,we present a workflow and testing platform,MatDeepLearn,for quickly and reproducibly assessing and comparing GNNs and other machine learning models.We use this platform to optimize and evaluate a selection of top performing GNNs on several representative datasets in computational materials chemistry.From our investigations we note the importance of hyperparameter selection and find roughly similar performances for the top models once optimized.We identify several strengths in GNNs over conventional models in cases with compositionally diverse datasets and in its overall flexibility with respect to inputs,due to learned rather than defined representations.Meanwhile several weaknesses of GNNs are also observed including high data requirements,and suggestions for further improvement for applications in materials chemistry are discussed. | Victor Fung Jiaxin Zhang Eric Juarez Bobby G.Sumpter | 2021 | npj Computational Materials2021，，1： | 5 |
| 2 | Dis-tributed Fiber-Optic Intrusion Sensor System 显示文摘 | Juan C Juarez Eric W Maier Kyoo Nam Choi | 2005 | Journalof Lightwave Technology2005，23，6： | 1 |
| 3 | Dis- tributed fiber-optic instrusion sensor system显示文摘 | Juan C Juarez Eric W Maier Kyoo Nam Choi | 2005 | Light- wave Technology2005，23，6： | 1 |
| 4 | Stem cell treatments for oropharyngeal dysphagia:Rationale,benefits,and challenges显示文摘Dysphagia,defined as difficulty swallowing,is a common symptom negatively impacting millions of adults annually.Estimated prevalence ranges from 14 to 33 percent in those over age 65 to over 70 percent in a nursing home setting.The elderly,those with neurodegenerative diseases,head and neck cancer patients,and those with autoimmune conditions such as Sjögren's syndrome are disproportionately affected.Oropharyngeal dysphagia refers specifically to difficulty in initiating a swallow due to dysfunction at or above the upper esophageal sphincter,and represents a large proportion of dysphagia cases.Current treatments are limited and are often ineffective.Stem cell therapy is a new and novel advancement that may fill a much-needed role in our treatment regimen.Here,we review the current literature regarding stem cell treatments for oropharyngeal dysphagia.Topics discussed include tissue regeneration advancements as a whole and translation of these principles into research surrounding tongue dysfunction,xerostomia,cricopharyngeal dysfunction,and finally an overview of the challenges and future directions for investigation.Although this field of study remains in its early stages,initial promising results show potential for the use of stem cell-based therapies to treat oropharyngeal dysphagia and warrant further research. | Eric K Tran Kevin O Juarez Jennifer L Long | 2020 | World Journal of Stem Cells2020，12，9： | 0 |
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