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Funding Research on Health Workforce Well-being to Optimize the Work Environment
Funding Research on Health Workforce Well-being to Optimize the Work Environment
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Funding Research on Health Workforce Well-being to Optimize the Work Environment

Melnick, Edward R ; Sinsky, Christine A ; Shanafelt, Tait

JAMA : the journal of the American Medical Association, 2023-04, Vol.329 (14), p.1145-1146 [Periódico revisado por pares]

United States: American Medical Association

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A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions
A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions
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A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions

Wang, Zheng ; Liu, Qingxiu ; Chen, Hansi ; Chu, Xuening

International journal of production research, 2021-08, Vol.59 (16), p.4811-4825 [Periódico revisado por pares]

London: Taylor & Francis

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Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries
Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries
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Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

Deng, Yuanwang ; Ying, Hejie ; E, Jiaqiang ; Zhu, Hao ; Wei, Kexiang ; Chen, Jingwei ; Zhang, Feng ; Liao, Gaoliang

Energy (Oxford), 2019-06, Vol.176, p.91-102 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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4
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
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Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions

Li, Tianfu ; Zhao, Zhibin ; Sun, Chuang ; Yan, Ruqiang ; Chen, Xuefeng

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-10 [Periódico revisado por pares]

New York: IEEE

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Remaining useful life estimation of bearings under different working conditions via Wasserstein distance-based weighted domain adaptation
Remaining useful life estimation of bearings under different working conditions via Wasserstein distance-based weighted domain adaptation
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Remaining useful life estimation of bearings under different working conditions via Wasserstein distance-based weighted domain adaptation

Hu, Tao ; Guo, Yiming ; Gu, Liudong ; Zhou, Yifan ; Zhang, Zhisheng ; Zhou, Zhiting

Reliability engineering & system safety, 2022-08, Vol.224, p.108526, Article 108526 [Periódico revisado por pares]

Barking: Elsevier Ltd

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An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions
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An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions

Zhuang, Jichao ; Jia, Minping ; Zhao, Xiaoli

Reliability engineering & system safety, 2022-09, Vol.225, p.108599, Article 108599 [Periódico revisado por pares]

Barking: Elsevier Ltd

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7
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
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The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data

Cheng, Han ; Kong, Xianguang ; Wang, Qibin ; Ma, Hongbo ; Yang, Shengkang

Reliability engineering & system safety, 2022-09, Vol.225, p.108581, Article 108581 [Periódico revisado por pares]

Barking: Elsevier Ltd

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8
Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions
Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions
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Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions

Li, Qi ; Shen, Changqing ; Chen, Liang ; Zhu, Zhongkui

Mechanical systems and signal processing, 2021-01, Vol.147, p.107095, Article 107095 [Periódico revisado por pares]

Berlin: Elsevier Ltd

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9
Precarious employment in occupational health – an OMEGA-NET working group position paper
Precarious employment in occupational health – an OMEGA-NET working group position paper
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Precarious employment in occupational health – an OMEGA-NET working group position paper

Bodin, Theo ; Çağlayan, Çiğdem ; Garde, Anne Helene ; Gnesi, Marco ; Jonsson, Johanna ; Kiran, Sibel ; Kreshpaj, Bertina ; Leinonen, Taina ; Mehlum, Ingrid S ; Nena, Evangelia ; Orellana, Cecilia ; Peckham, Trevor ; Seixas, Noah ; Vanroelen, Christophe

Scandinavian journal of work, environment & health, 2020-05, Vol.46 (3), p.321-329 [Periódico revisado por pares]

Finland: Finnish Institute of Occupational Health

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10
Hidden transcripts of the gig economy: labour agency and the new art of resistance among African gig workers
Hidden transcripts of the gig economy: labour agency and the new art of resistance among African gig workers
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Hidden transcripts of the gig economy: labour agency and the new art of resistance among African gig workers

Anwar, Mohammad Amir ; Graham, Mark

Environment and planning. A, 2020-10, Vol.52 (7), p.1269-1291 [Periódico revisado por pares]

London, England: SAGE Publications

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