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Experimental evaluation of the lubrication performance of MoS2/CNT nanofluid for minimal quantity lubrication in Ni-based alloy grinding

International journal of machine tools & manufacture, 2015-12, Vol.99, p.19-33

2015

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Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

SIAM journal on scientific computing, 2020-01, Vol.42 (1), p.A292-A317

2020

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Specific grinding energy and surface roughness of nanoparticle jet minimum quantity lubrication in grinding

Chinese journal of aeronautics, 2015-04, Vol.28 (2), p.570-581

2015

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An atomistic fingerprint algorithm for learning ab initio molecular force fields

The Journal of chemical physics, 2018-01, Vol.148 (3), p.034101-034101

2018

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Experimental verification of nanoparticle jet minimum quantity lubrication effectiveness in grinding

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology, 2014-12, Vol.16 (12), p.1-15, Article 2758

2014

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Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

European radiology, 2022-03, Vol.32 (3), p.1983-1996

2022

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Discovery and validation of methylation signatures in circulating cell-free DNA for early detection of esophageal cancer: a case-control study

BMC medicine, 2021-10, Vol.19 (1), p.1-243, Article 243

2021

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Learning hierarchical behavior and motion planning for autonomous driving

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, p.2235-2242

2020

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Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks

SIAM journal on scientific computing, 2020-01, Vol.42 (2), p.A639-A665

2020

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PPINN: Parareal physics-informed neural network for time-dependent PDEs

Computer methods in applied mechanics and engineering, 2020-10, Vol.370 (C), p.113250, Article 113250

2020

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Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

Journal of computational physics, 2019-11, Vol.397, p.108850, Article 108850

2019

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Conversion Surgery Following Immunochemotherapy in Initially Unresectable Locally Advanced Esophageal Squamous Cell Carcinoma—A Real-World Multicenter Study (RICE-Retro)

Frontiers in immunology, 2022-07, Vol.13

2022

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Prognostic impact of lymph node metastasis along the left gastric artery in esophageal squamous cell carcinoma

Journal of cardiothoracic surgery, 2021-05, Vol.16 (1), p.124-124, Article 124

2021

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KEAP1/NFE2L2 Mutations of Liquid Biopsy as Prognostic Biomarkers in Patients With Advanced Non-Small Cell Lung Cancer: Results From Two Multicenter, Randomized Clinical Trials

Frontiers in oncology, 2021-07, Vol.11, p.659200-659200

2021

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Experimental evaluation of MoS2 nanoparticles in jet MQL grinding with different types of vegetable oil as base oil

Journal of cleaner production, 2015-01, Vol.87, p.930-940

2015

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Accuracy of next-generation sequencing for molecular profiling of small specimen of lung cancer: a prospective pilot study of side-by-side comparison

Diagnostic pathology, 2022-10, Vol.17 (1), p.1-78, Article 78

2022

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Pan-cancer analysis for the prognostic and immunological role of CD47: interact with TNFRSF9 inducing CD8 + T cell exhaustion

Discover. Oncology, 2024-05, Vol.15 (1), p.149-149, Article 149

2024

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Dynamic alteration in SULmax predicts early pathological tumor response and short-term prognosis in non-small cell lung cancer treated with neoadjuvant immunochemotherapy

Frontiers in bioengineering and biotechnology, 2022-10, Vol.10, p.1010672

2022

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Experimental research on the energy ratio coefficient and specific grinding energy in nanoparticle jet MQL grinding

International journal of advanced manufacturing technology, 2015-05, Vol.78 (5-8), p.1275-1288

2015

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Grinding model and material removal mechanism of medical nanometer zirconia ceramics

Recent patents on nanotechnology, 2014-01, Vol.8 (1), p.2-17

2014

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Investigation into the Formation Mechanism and Distribution Characteristics of Suspended Microparticles in MQL Grinding

Recent Patents on Mechanical Engineering, 2014, Vol.7 (1), p.52-62

2014

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Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors

Journal of computational physics, 2018-12, Vol.374, p.121-134

2018

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Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

SIAM journal on scientific computing, 2020-02, Vol.42 (1)

2020

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Mechanical factors play an important role in pectus excavatum with thoracic scoliosis

Journal of cardiothoracic surgery, 2012-11, Vol.7 (1), p.118-118, Article 118

2012

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Experimental research on the influence of the jet parameters of minimum quantity lubrication on the lubricating property of Ni-based alloy grinding

International journal of advanced manufacturing technology, 2016-01, Vol.82 (1-4), p.617-630

2016

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Experimental evaluation of the lubrication performance of MoS2/CNT nanofluid for minimal quantity lubrication in Ni-based alloy grinding

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Specific grinding energy and surface roughness of nanoparticle jet minimum quantity lubrication in grinding

An atomistic fingerprint algorithm for learning ab initio molecular force fields

Experimental verification of nanoparticle jet minimum quantity lubrication effectiveness in grinding

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

Discovery and validation of methylation signatures in circulating cell-free DNA for early detection of esophageal cancer: a case-control study

Learning hierarchical behavior and motion planning for autonomous driving

Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks

PPINN: Parareal physics-informed neural network for time-dependent PDEs

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

Conversion Surgery Following Immunochemotherapy in Initially Unresectable Locally Advanced Esophageal Squamous Cell Carcinoma—A Real-World Multicenter Study (RICE-Retro)

Prognostic impact of lymph node metastasis along the left gastric artery in esophageal squamous cell carcinoma

KEAP1/NFE2L2 Mutations of Liquid Biopsy as Prognostic Biomarkers in Patients With Advanced Non-Small Cell Lung Cancer: Results From Two Multicenter, Randomized Clinical Trials

Experimental evaluation of MoS2 nanoparticles in jet MQL grinding with different types of vegetable oil as base oil

Accuracy of next-generation sequencing for molecular profiling of small specimen of lung cancer: a prospective pilot study of side-by-side comparison

Pan-cancer analysis for the prognostic and immunological role of CD47: interact with TNFRSF9 inducing CD8 + T cell exhaustion

Dynamic alteration in SULmax predicts early pathological tumor response and short-term prognosis in non-small cell lung cancer treated with neoadjuvant immunochemotherapy

Experimental research on the energy ratio coefficient and specific grinding energy in nanoparticle jet MQL grinding

Grinding model and material removal mechanism of medical nanometer zirconia ceramics

Investigation into the Formation Mechanism and Distribution Characteristics of Suspended Microparticles in MQL Grinding

Bi-directional coupling between a PDE-domain and an adjacent Data-domain equipped with multi-fidelity sensors

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Mechanical factors play an important role in pectus excavatum with thoracic scoliosis

Experimental research on the influence of the jet parameters of minimum quantity lubrication on the lubricating property of Ni-based alloy grinding

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