Results 181 to 190 of about 1,746,055 (248)

Development and application of a mechanistic model for protein A resolution of a bispecific antibody for process characterization and optimization

Biotechnology Progress, EarlyView.
Abstract Regeneron's bispecific technology, based on a fully human IgG antibody construct, consists of two distinct heavy chains and a common light chain co‐expressed in a single cell. The co‐expression of the two distinct heavy chains, one of which contains a dipeptide substitution that ablates Protein A binding, leads to the formation of three ...
Samantha Wadsworth, James Reilly, John Mattila, Christopher Cowan, Hanne Bak   +4 more
wiley   +1 more source

When prediction fails: a computational complexity view of stress. [PDF]

Front Vet Sci
Budaev S, Lai F, Morgan R, Rønnestad I.
europepmc   +1 more source

Experimental Investigation on the Effect of Dry and Wet Activation Processes on the Morphological Properties of Activated Carbon Derived From Sugarcane Bagasse

Carbon Innovation, EarlyView.
Synthesis and characterization of sugarcane bagasse‐derived activated carbon via KOH‐assisted dry and wet activation. ABSTRACT This study explores the impact of activation processes on the morphological properties of activated carbon. Carbon is initially produced through vacuum pyrolysis at three temperatures (500°C, 600°C, and 700°C), with a heating ...
Sachin Channappa Hallad, N. L. Panwar, Kavankumar Venkatareddy, J. K. Maherchandani, Trilok Gupta, S. S. Meena   +5 more
wiley   +1 more source

Exponential dissipative control for conformable nonlinear dynamical systems. [PDF]

Sci Rep
Dhahri S, Ben Alaia E, Almenwer S, Alanazi A, Gassara H.   +4 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Coherent Signal DOA Estimation and 3D Point Cloud Imaging Based on a Straight-Curved Hybrid L-Shaped Conformal Array. [PDF]

Sensors (Basel)
Bie B, Chen Y, Chen H, Li N.
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Lasso for hierarchical polynomial models

Canadian Journal of Statistics, EarlyView.
Abstract The divisibility conditions implicit in a polynomial hierarchy suggest parameter constraints in regression. With this idea, we establish strong and weak hierarchies for both the lasso and relaxed lasso. Our proposal extends prior work on hierarchical lasso, which was mainly concerned with models of degree 2.
H. Maruri‐Aguilar, S. Lunagómez
wiley   +1 more source

Research on Error Compensation Methods of Dynamic Gravity Measurement Based on Swarm Cooperation Evolution Strategy and Optimized LSTM. [PDF]

Entropy (Basel)
Li X, Zhou Z, Zhang Z, Liang Z, Chang Z, Li Y.   +5 more
europepmc   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

Canadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source