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L Spangler

Showing results (91-100 of 316) with videos related to

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Life Sciences and Space Research|January 1, 1979
Influence of the ambient acceleration field upon acute acceleration tolerance in chickensA H Smith, W L Spangler, E A Rhode, et al.
Journal of Animal Science|April 6, 2017
Economic selection index development for Beefmaster cattle I: Terminal breeding objectiveK P Ochsner, M D MacNeil, R M Lewis, et al.
Journal of Abnormal Psychology|August 1, 1997
Comparison of cognitive models of depression: relationships between cognitive constructs and cognitive diathesis-stress matchD L Spangler, A D Simons, S M Monroe, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|June 14, 2022
Using pooled data for genomic prediction in a bivariate framework with missing dataJohnna L Baller, Stephen D Kachman, Larry A Kuehn, et al.
Journal of Dairy Science|June 2, 2024
Partitioning among-animal variance of energy utilization in lactating Jersey cowsA L Carroll, M L Spangler, D L Morris, et al.
Neurobiology of Aging|March 1, 1989
Age-related impairment in complex maze learning in rats: relationship to neophobia and cholinergic antagonismE L Spangler, M E Chachich, N J Curtis, et al.
Journal of Pharmacy Practice|December 16, 2017
Euglycemic Diabetic Ketoacidosis Associated With Sodium-Glucose Cotransporter Type 2 Inhibitors in Patients With Type 2 Diabetes Mellitus Receiving Oral TherapyRyan B Dull, Mikayla L Spangler, Emily L Knezevich, et al.
Journal of Consulting and Clinical Psychology|August 1, 1997
Response to cognitive-behavioral therapy in depression: effects of pretreatment cognitive dysfunction and life stressD L Spangler, A D Simons, S M Monroe, et al.
European Journal of Pharmacology|March 7, 1998
Learning in a 14-unit T-maze is impaired in rats following systemic treatment with N omega-nitro-L-arginineD K Ingram, E L Spangler, R C Meyer, et al.
Journal of Animal Science|June 5, 2020
Genomic prediction using pooled data in a single-step genomic best linear unbiased prediction frameworkJohnna L Baller, Stephen D Kachman, Larry A Kuehn, et al.
Pageof 32

Showing results (91-100 of 316) with videos related to

Sort By:
Pageof 32
Life Sciences and Space Research|January 1, 1979
Influence of the ambient acceleration field upon acute acceleration tolerance in chickensA H Smith, W L Spangler, E A Rhode, et al.
Journal of Animal Science|April 6, 2017
Economic selection index development for Beefmaster cattle I: Terminal breeding objectiveK P Ochsner, M D MacNeil, R M Lewis, et al.
Journal of Abnormal Psychology|August 1, 1997
Comparison of cognitive models of depression: relationships between cognitive constructs and cognitive diathesis-stress matchD L Spangler, A D Simons, S M Monroe, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|June 14, 2022
Using pooled data for genomic prediction in a bivariate framework with missing dataJohnna L Baller, Stephen D Kachman, Larry A Kuehn, et al.
Journal of Dairy Science|June 2, 2024
Partitioning among-animal variance of energy utilization in lactating Jersey cowsA L Carroll, M L Spangler, D L Morris, et al.
Neurobiology of Aging|March 1, 1989
Age-related impairment in complex maze learning in rats: relationship to neophobia and cholinergic antagonismE L Spangler, M E Chachich, N J Curtis, et al.
Journal of Pharmacy Practice|December 16, 2017
Euglycemic Diabetic Ketoacidosis Associated With Sodium-Glucose Cotransporter Type 2 Inhibitors in Patients With Type 2 Diabetes Mellitus Receiving Oral TherapyRyan B Dull, Mikayla L Spangler, Emily L Knezevich, et al.
Journal of Consulting and Clinical Psychology|August 1, 1997
Response to cognitive-behavioral therapy in depression: effects of pretreatment cognitive dysfunction and life stressD L Spangler, A D Simons, S M Monroe, et al.
European Journal of Pharmacology|March 7, 1998
Learning in a 14-unit T-maze is impaired in rats following systemic treatment with N omega-nitro-L-arginineD K Ingram, E L Spangler, R C Meyer, et al.
Journal of Animal Science|June 5, 2020
Genomic prediction using pooled data in a single-step genomic best linear unbiased prediction frameworkJohnna L Baller, Stephen D Kachman, Larry A Kuehn, et al.
Pageof 32