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Hierarchically porous activated carbon derived from <i>Lansium domesticum</i> peel <i>via</i> hydrothermal-H<sub>3</sub>PO<sub>4</sub> activation for enhanced methylene blue removal: adsorption behavior, advanced modeling and mechanistic insights. [PDF]
RSC AdvHuong Do T +5 more
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Inpatient Recovery of Function After Knee Replacement: A Longitudinal Evaluation Across Four Sequential Care Pathway Redesigns. [PDF]
Learn Health SystJager J +7 more
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Smart flying in challenging skies: How Red Kites adjust wind turbine micro- and meso-avoidance across weather and experience. [PDF]
Sci RepMercker M +11 more
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Psychometrika, 1987
The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis.
Hirotugu Akaike, Akaike Hirotugu
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The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis.
Hirotugu Akaike, Akaike Hirotugu
exaly +2 more sources
Increased hemoglobin AIc in diabetic mice
Diabetes, 1976The minor hemoglobins AIa, AIb, and AIc were studied in mice with either genetic or chemically induced diabetes. Hemoglobin AIc was elevated approximately twofold in all the phenotypically diabetic mice studied (C57BL/KsJ-db/db, C57BL/KsJ-ob/ob, C57BL7/6J-db/db, and alloxan- and streptozotocin-treated mice).
Koenig, R J, Araujo, D C, Cerami, A
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Sociological Methods & Research, 2004
The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike’s information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed.
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The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike’s information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed.
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Current opinion in investigational drugs (London, England : 2000), 2003
Dynavax is developing Amb a 1 immunostimulatory oligodeoxynucleotide-conjugate (AIC) as a potential immunotherapy for ragweed-induced seasonal allergy. By May 2001, phase II/III trials were underway in Canada and the US, and by March 2002, phase II trials were underway in France. In October 2002, Dynavax expected to commence a phase III trial in 2003.
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Dynavax is developing Amb a 1 immunostimulatory oligodeoxynucleotide-conjugate (AIC) as a potential immunotherapy for ragweed-induced seasonal allergy. By May 2001, phase II/III trials were underway in Canada and the US, and by March 2002, phase II trials were underway in France. In October 2002, Dynavax expected to commence a phase III trial in 2003.
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2021
### Context The AICE Project Dataset is a dataset of small intestine capsule endoscopy (CE) images taken by PillCam™ SB 3 (Medtronic, Minneapolis, MN, USA), which we use in the paper (Practical Artificial Intelligence Model and Data Repository of Small intestine Capsule Endoscopy: The AICE Project ; Paper is in submission.). .
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### Context The AICE Project Dataset is a dataset of small intestine capsule endoscopy (CE) images taken by PillCam™ SB 3 (Medtronic, Minneapolis, MN, USA), which we use in the paper (Practical Artificial Intelligence Model and Data Repository of Small intestine Capsule Endoscopy: The AICE Project ; Paper is in submission.). .
openaire +1 more source