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JAMA Surgery
|
February 17, 2021
Association of Cryoprecipitate Use With Survival After Major Trauma in Children Receiving Massive Transfusion
Maria A Tama, Melvin E Stone, Stephen M Blumberg, et al.
International Journal of Chronobiology
|
January 1, 1974
Circadian variation in human urinary cyclic AMP and the effect of different diets on this rhythm
J E Stone, M L Polk, J W Dobbs, et al.
DNA Repair
|
August 24, 2007
Mutator alleles of yeast DNA polymerase zeta
Ayako N Sakamoto, Jana E Stone, Grace E Kissling, et al.
Sensors (Basel, Switzerland)
|
May 25, 2024
Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals
Ira Lloyd Parsons, Brandi B Karisch, Amanda E Stone, et al.
Pediatric Pulmonology
|
May 31, 2017
Predicting frequent emergency department visits among children with asthma using EHR data
Lala T Das, Erika L Abramson, Anne E Stone, et al.
Parasites & Vectors
|
May 20, 2018
Range-wide genetic analysis of Dermacentor variabilis and its Francisella-like endosymbionts demonstrates phylogeographic concordance between both taxa
Emily L Kaufman, Nathan E Stone, Glen A Scoles, et al.
BMC Health Services Research
|
March 7, 2016
A qualitative analysis of the effect of a community-based primary health care programme on reproductive preferences and contraceptive use among the Kassena-Nankana of northern Ghana
Maxwell Ayindenaba Dalaba, Allison E Stone, Abigail R Krumholz, et al.
The Thoracic and Cardiovascular Surgeon
|
November 29, 2018
Preoperative CHA2DS2-VASc Score Predicts Postoperative Atrial Fibrillation after Lobectomy
Charles T Lee, David M Strauss, Lauren E Stone, et al.
Gait & Posture
|
July 13, 2021
Faster or longer steps: Maintaining fast walking in older adults at risk for mobility disability
Sidney T Baudendistel, Abigail C Schmitt, Amanda E Stone, et al.
Journal of Dairy Science
|
May 15, 2017
Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle
M R Borchers, Y M Chang, K L Proudfoot, et al.
Page
of 80
Search research articles
Search
Showing results (551-560 of 796) with videos related to
Sort By:
Page
of 80
JAMA Surgery
|
February 17, 2021
Association of Cryoprecipitate Use With Survival After Major Trauma in Children Receiving Massive Transfusion
Maria A Tama, Melvin E Stone, Stephen M Blumberg, et al.
International Journal of Chronobiology
|
January 1, 1974
Circadian variation in human urinary cyclic AMP and the effect of different diets on this rhythm
J E Stone, M L Polk, J W Dobbs, et al.
DNA Repair
|
August 24, 2007
Mutator alleles of yeast DNA polymerase zeta
Ayako N Sakamoto, Jana E Stone, Grace E Kissling, et al.
Sensors (Basel, Switzerland)
|
May 25, 2024
Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals
Ira Lloyd Parsons, Brandi B Karisch, Amanda E Stone, et al.
Pediatric Pulmonology
|
May 31, 2017
Predicting frequent emergency department visits among children with asthma using EHR data
Lala T Das, Erika L Abramson, Anne E Stone, et al.
Parasites & Vectors
|
May 20, 2018
Range-wide genetic analysis of Dermacentor variabilis and its Francisella-like endosymbionts demonstrates phylogeographic concordance between both taxa
Emily L Kaufman, Nathan E Stone, Glen A Scoles, et al.
BMC Health Services Research
|
March 7, 2016
A qualitative analysis of the effect of a community-based primary health care programme on reproductive preferences and contraceptive use among the Kassena-Nankana of northern Ghana
Maxwell Ayindenaba Dalaba, Allison E Stone, Abigail R Krumholz, et al.
The Thoracic and Cardiovascular Surgeon
|
November 29, 2018
Preoperative CHA2DS2-VASc Score Predicts Postoperative Atrial Fibrillation after Lobectomy
Charles T Lee, David M Strauss, Lauren E Stone, et al.
Gait & Posture
|
July 13, 2021
Faster or longer steps: Maintaining fast walking in older adults at risk for mobility disability
Sidney T Baudendistel, Abigail C Schmitt, Amanda E Stone, et al.
Journal of Dairy Science
|
May 15, 2017
Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle
M R Borchers, Y M Chang, K L Proudfoot, et al.
Page
of 80