Michael Wiedmann

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Modifications like asparagine deamidation, aspartate isomerization, methionine oxidation, and lysine glycation are typical degradations for recombinant antibodies. For the identification and functional evaluation of antibody critical quality attributes (CQAs) derived from chemical modifications in the complementary-determining regions (CDRs) and the(More)
The degradation of proteins by asparagine deamidation and aspartate isomerization is one of several chemical degradation pathways for recombinant antibodies. In this study, we have identified two solvent accessible degradation sites (light chain aspartate-56 and heavy chain aspartate-99/101) in the complementary-determining regions of a recombinant IgG1(More)
Robust knowledge consists of both conceptual and procedural knowledge. In order to address both types of knowledge, offering students opportunities to explore target concepts in an exploratory learning environment (ELE) is insufficient. Instead, we need to combine exploratory learning environments, to support students acquisition of conceptual knowledge,(More)
Learning-by-invention is an approach to mathematical instruction where small groups explore possible methods of solution before learning the " right answer " (e.g., Schwartz & Martin, 2004; Kapur & Bielaczyc, 2011). In a series of studies we have been investigating the effects of group composition in terms of math ability on learning by invention. An(More)
Biotherapeutics are often produced in non-human host cells like Escherichia coli, yeast, and various mammalian cell lines. A major focus of any therapeutic protein purification process is to reduce host cell proteins to an acceptable low level. In this study, various E. coli host cell proteins were identified at different purifications steps by HPLC(More)
This paper describes the design and ecologically valid evaluation of a learner model that lies at the heart of an intelligent learning environment called iTalk2Learn. A core objective of the learner model is to adapt formative feedback based on students’ affective states. Types of adaptation include what type of formative feedback should be provided and how(More)
This paper describes the development and evaluation of an affect-aware intelligent support component that is part of a learning environment known as iTalk2Learn. The intelligent support component is able to tailor feedback according to a student's affective state, which is deduced both from speech and interaction. The affect prediction is used to determine(More)
Preface By encouraging interaction, exploration and experimentation in environments that directly represent the domain to the learner, Exploratory Learning Environments (ELE) adhere to constructivist theories of learning that emphasize learners' control to construct their own understanding. More generally, Open-ended Learning Environments (OLEs) offer(More)
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