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Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models (δHBV-globe1.0-hydroDL).
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- Geoscientific Model Development, 2024, v. 17, n. 18, p. 7181, doi. 10.5194/gmd-17-7181-2024
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- Article
Tim3 Foxp3 Treg Cells Are Potent Inhibitors of Effector T Cells and Are Suppressed in Rheumatoid Arthritis.
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- Inflammation, 2017, v. 40, n. 4, p. 1342, doi. 10.1007/s10753-017-0577-6
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- Article
The suitability of differentiable, learnable hydrologic models for ungauged regions and climate change impact assessment.
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- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-245
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- Article
Loss of B cell regulatory function is associated with delayed healing in patients with tibia fracture.
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- APMIS, 2015, v. 123, n. 11, p. 975, doi. 10.1111/apm.12439
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- Article
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling.
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- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-26107-z
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- Article
BMSC-EV-derived lncRNA NORAD Facilitates Migration, Invasion, and Angiogenesis in Osteosarcoma Cells by Regulating CREBBP via Delivery of miR-877-3p.
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- Oxidative Medicine & Cellular Longevity, 2022, p. 1, doi. 10.1155/2022/8825784
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CD86 +1057G/A Polymorphism and Susceptibility to Ewing's Sarcoma: A Case-Control Study.
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- DNA & Cell Biology, 2012, v. 31, n. 4, p. 537, doi. 10.1089/dna.2011.1370
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- Article
Cytotoxic T-lymphocyte Antigen-4 Polymorphisms and Susceptibility to Osteosarcoma.
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- DNA & Cell Biology, 2011, v. 30, n. 12, p. 1051, doi. 10.1089/dna.2011.1269
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- Article
Benzimidazolyl phosphates as anti-wear additives in poly(ethylene glycol) for steel/steel contacts.
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- Lubrication Science, 2014, v. 26, n. 1, p. 1, doi. 10.1002/ls.1217
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- Article
Tribological properties of crown-type phosphate ionic liquids as lubricating additives in rapeseed oils.
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- Lubrication Science, 2013, v. 25, n. 3, p. 195, doi. 10.1002/ls.1199
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- Article
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling.
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- Hydrology & Earth System Sciences Discussions, 2023, p. 1, doi. 10.5194/hess-2023-258
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- Article
Metamorphic Testing of Machine Learning and Conceptual Hydrologic Models.
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- Hydrology & Earth System Sciences Discussions, 2023, p. 1, doi. 10.5194/hess-2023-168
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- Article
Effect of Anterior Cervical Decompression Fusion and Partial Resection of Uncinate Vertebra Joint on Cervical Sagittal Sequence in Patients with Non‐Single‐Segment Radiculopathy and its Correlation with Curative Effect: A Retrospective Analysis
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- Orthopaedic Surgery, 2023, v. 15, n. 4, p. 1085, doi. 10.1111/os.13676
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- Article
Osteosarcoma of the spine: surgical treatment and outcomes.
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- World Journal of Surgical Oncology, 2013, v. 11, n. 1, p. 1, doi. 10.1186/1477-7819-11-89
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- Article
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling.
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- Hydrology & Earth System Sciences, 2024, v. 28, n. 13, p. 3051, doi. 10.5194/hess-28-3051-2024
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- Article
Metamorphic testing of machine learning and conceptual hydrologic models.
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- Hydrology & Earth System Sciences, 2024, v. 28, n. 11, p. 2505, doi. 10.5194/hess-28-2505-2024
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- Publication type:
- Article
The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment.
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- Hydrology & Earth System Sciences, 2023, v. 27, n. 12, p. 2357, doi. 10.5194/hess-27-2357-2023
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- Publication type:
- Article
Deep Dive into Global Hydrologic Simulations: Harnessing the Power of Deep Learning and Physics-informed Differentiable Models (δHBV-globe1.0-hydroDL).
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- Geoscientific Model Development Discussions, 2023, p. 1, doi. 10.5194/gmd-2023-190
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- Article
Metabolic reprogramming based on RNA sequencing of gemcitabine-resistant cells reveals the FASN gene as a therapeutic for bladder cancer.
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- Journal of Translational Medicine, 2024, p. 1, doi. 10.1186/s12967-024-04867-8
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- Article
Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data‐Sparse Regions With Ensemble Modeling and Soft Data.
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- Geophysical Research Letters, 2021, v. 48, n. 14, p. 1, doi. 10.1029/2021GL092999
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- Article
Effect of functional groups on tribological properties of lubricants and mechanism investigation.
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- Friction (2223-7704), 2023, v. 11, n. 6, p. 911, doi. 10.1007/s40544-022-0630-9
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- Article
Insight into macroscale superlubricity of polyol aqueous solution induced by protic ionic liquid.
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- Friction (2223-7704), 2022, v. 10, n. 12, p. 2000, doi. 10.1007/s40544-021-0563-8
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- Article
Macroscale superlubricity achieved via hydroxylated hexagonal boron nitride nanosheets with ionic liquid at steel/steel interface.
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- Friction (2223-7704), 2022, v. 10, n. 9, p. 1365, doi. 10.1007/s40544-021-0545-x
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- Article
Position information encoding FPN for small object detection in aerial images.
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- Neural Computing & Applications, 2024, v. 36, n. 26, p. 16023, doi. 10.1007/s00521-024-09917-2
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- Article
Eosinophilic granuloma of spine in adults: a report of 30 cases and outcome.
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- Acta Neurochirurgica, 2010, v. 152, n. 7, p. 1129, doi. 10.1007/s00701-010-0644-3
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- Article
CircEYA3 aggravates intervertebral disc degeneration through the miR-196a-5p/EBF1 axis and NF-κB signaling.
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- Communications Biology, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s42003-024-06055-2
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- Article
Study on running deviation mechanism and intelligent control of belt conveyor.
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- Vibroengineering Procedia, 2021, v. 36, p. 115, doi. 10.21595/vp.2020.21817
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- Article
Tribological Behavior of Si<sub>3</sub>N<sub>4</sub>/Ti<sub>3</sub>SiC<sub>2</sub> Contacts Lubricated by Lithium-Based Ionic Liquids.
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- Advances in Materials Science & Engineering, 2014, p. 1, doi. 10.1155/2014/863230
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- Article
Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning.
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- Water Resources Research, 2024, v. 60, n. 1, p. 1, doi. 10.1029/2023WR035337
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- Article
Identifying Structural Priors in a Hybrid Differentiable Model for Stream Water Temperature Modeling.
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- Water Resources Research, 2023, v. 59, n. 12, p. 1, doi. 10.1029/2023WR034420
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- Article
Differentiable, Learnable, Regionalized Process‐Based Models With Multiphysical Outputs can Approach State‐Of‐The‐Art Hydrologic Prediction Accuracy.
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- Water Resources Research, 2022, v. 58, n. 10, p. 1, doi. 10.1029/2022WR032404
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- Article
The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology.
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- Water Resources Research, 2022, v. 58, n. 4, p. 1, doi. 10.1029/2021WR029583
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- Article
Transferring Hydrologic Data Across Continents – Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions.
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- Water Resources Research, 2021, v. 57, n. 5, p. 1, doi. 10.1029/2020WR028600
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- Article
Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales.
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- Water Resources Research, 2020, v. 56, n. 9, p. 1, doi. 10.1029/2019WR026793
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- Article