Results 41 to 50 of about 2,688,321 (280)
Modelling of Activated Sludge Wastewater Treatment [PDF]
Kemija u Industriji, 2008 Activated sludge wastewater treatment is a highly complex physical, chemical and biological process, and variations in wastewater flow rate and its composition, combined with time-varying reactions in a mixed culture of microorganisms, make this process ...
Kurtanjeka, Ž. +4 more
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Building a Multiple Linear Regression Model With LEGO Brick Data
Journal of Statistics and Data Science Education, 2021 We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the
Anna D. Peterson, Laura Ziegler
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
Neuropsychiatric Disease and Treatment, 2012 Kianoush Fathi Vajargah,1 Homayoun Sadeghi-Bazargani,2,3 Robab Mehdizadeh-Esfanjani,4 Daryoush Savadi-Oskouei,4 Mehdi Farhoudi41Department of Statistics, Islamic Azad University, Tehran, North Branch, 2Neuroscience Research Center, Department of ...
Fathi Vajargah K +4 more
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A learning system-based soft multiple linear regression model
Intelligent Systems with ApplicationsMachine learning applied to regression models offers powerful mathematical tools for predicting responses based on one or more predictor variables.
Gholamreza Hesamian +3 more
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Connecting model-based and model-free approaches to linear least squares regression
, 2020 In a regression setting with response vector $\mathbf{y} \in \mathbb{R}^n$ and given regressor vectors $\mathbf{x}_1,\ldots,\mathbf{x}_p \in \mathbb{R}^n$, a typical question is to what extent $\mathbf{y}$ is related to these regressor vectors ...
Davies, Laurie, Duembgen, Lutz
core
Comparitive Study Between Two Ways Least Squares and Adaptive Regression In Regression linear model [PDF]
المجلة العراقية للعلوم الاحصائية, 2007 In this research, we use the ( ) and ( ) two criterions to compare between the estimators of Adaptive Regression model and the estimators of Ordinary and General Least Squares. We found that, Adaptive Regression estimators are more accurate and efficient
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Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source