A multi-factor empirical model for calculation of naupliar ingestion rate of the embayment copepod Acartia steueri Smirnov (Copepoda: Calanoida)

Marine Biology ◽

10.1007/s00227-018-3378-z ◽

2018 ◽

Vol 165 (7) ◽

Author(s):

Noriaki Natori ◽

Tatsuki Toda

Keyword(s):

Empirical Model ◽

Ingestion Rate ◽

Acartia Steueri

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Ingestion rate: An empirical model for aquatic deposit feeders and detritivores

Oecologia ◽

10.1007/bf00545232 ◽

1979 ◽

Vol 44 (3) ◽

pp. 303-310 ◽

Author(s):

Leon M. Cammen

Keyword(s):

Empirical Model ◽

Ingestion Rate ◽

Deposit Feeders

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Toward an Empirical Model of Multicultural Competence in School Psychology

PsycEXTRA Dataset ◽

10.1037/e649642012-001 ◽

2012 ◽

Author(s):

David S. Goh ◽

Danielle Farrell ◽

Michele Baumann

Keyword(s):

School Psychology ◽

Empirical Model ◽

Multicultural Competence

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261. Efficacy of Compliance Wood Dust Samples in Exposure Assessment: Investigations Through the Use of a Mixed Effects Empirical Model

10.3320/1.2763107 ◽

1999 ◽

Author(s):

A. Hall ◽

H. Davies ◽

P. Demers ◽

S. Marion ◽

K. Teschke

Keyword(s):

Exposure Assessment ◽

Empirical Model ◽

Mixed Effects ◽

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Effect of Different Fluid Ingestion Rate on Post-exercise Rehydration

Case Medical Research ◽

10.31525/ct1-nct04155372 ◽

2019 ◽

Author(s):

Keyword(s):

Ingestion Rate ◽

Post Exercise ◽

Fluid Ingestion

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STUDIES ON ELIMINATION OF CHLOROPHYLL-A AND INGESTION RATE IN EUTROPHIC WATER BY ANODONTA WOODIANA ELLIPTICA

Acta Hydrobiologica Sinica ◽

10.3724/sp.j.1035.2010.00779 ◽

2010 ◽

Vol 36 (4) ◽

pp. 779-786

Author(s):

Tao DING ◽

Lin LI ◽

Liang PENG ◽

Yan-Xia ZUO ◽

Li-Rong SONG

Keyword(s):

Chlorophyll A ◽

Ingestion Rate ◽

Eutrophic Water ◽

Anodonta Woodiana

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An Empirical Model-based MOE for Friction Reduction by Slot-Ejected Polymer Solutions in an Aqueous Environment

10.21236/ada475951 ◽

2007 ◽

Author(s):

John G. Pierce

Keyword(s):

Empirical Model ◽

Polymer Solutions ◽

Friction Reduction ◽

Aqueous Environment ◽

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A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies

The Journal of Risk Model Validation ◽

10.21314/jrmv.2017.170 ◽

2017 ◽

Vol 11 (2) ◽

pp. 43-64 ◽

Author(s):

Jiaming Liu ◽

Chong Wu

Keyword(s):

Decision Tree ◽

Empirical Model ◽

Model Evaluation ◽

Failure Prediction ◽

Listed Companies ◽

Gradient Boosting ◽

Chinese Listed Companies ◽

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An Empirical Model of Learning Under Ambiguity: The Case of Clinical Trials

SSRN Electronic Journal ◽

10.2139/ssrn.1025765 ◽

2008 ◽

Author(s):

Jose M. Fernandez

Keyword(s):

Clinical Trials ◽

Empirical Model

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An Empirical Model of Illegal Work

SSRN Electronic Journal ◽

10.2139/ssrn.1708110 ◽

2009 ◽

Author(s):

Frank McIntyre

Keyword(s):

Empirical Model

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Learning-by-Hardworking: A Structural Empirical Model of Effort Decisions of Students in Toulouse School of Economics

SSRN Electronic Journal ◽

10.2139/ssrn.3629614 ◽

2020 ◽

Author(s):

Xintong Han

Keyword(s):

Empirical Model

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