Publications by authors named "M Loog"

Forest biorefineries provide multiple new avenues for applied research. The main concept lies in the malleability of the processes and their stepwise organization. The core element of the biorefinery concept addressed in the present study is the pretreatment step; here, wood biomass is converted into free hemicellulosic sugars, lignin and cellulose.

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Protein synthesis underpins cell growth and controls when cells commit to a new round of cell division at a point in late G1 of the cell cycle called Start. Passage through Start also coincides with the duplication of the microtubule-organizing centers, the yeast spindle pole bodies, which will form the 2 poles of the mitotic spindle that segregates the chromosomes in mitosis. The conserved Mps1p kinase governs the duplication of the spindle pole body (SPB) in Saccharomyces cerevisiae.

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Since the discovery of cyclin-dependent kinases (CDKs), it has been perceived as a dogma that CDK signaling in the cell cycle is mediated via targeting the CDK consensus sites: the optimal and the minimal motifs S/T-P-x-K/R and S/T-P, respectively. However, more recent evidence suggests that often the CDK phosphorylation events of regulatory importance are mediated via nonconventional CDK sites that lack the required +1Pro of the consensus site motif. In these cases, the loss of specificity seems to be compensated via distant docking interactions facilitated by 1) phosphorylated priming sites binding to phospho-adaptor Cks1 and/or 2) cyclin-specific docking interactions via Short Linear Motifs (SLiMs) in substrates.

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In the forest biorefinery, hydrolysis lignin (HL) is often dissolved with high concentration NaOH solution, followed by acid precipitation to obtain purified HL. For the first time, this study evaluates the effect of ultrasound (US) on the dissolution of industrially produced HL in aqueous NaOH solutions and the acid precipitation yield of HL. The solubility of HL in mild aqueous NaOH solutions was studied with and without US treatment at 20 kHz concerning the solid-to-liquid ratio, molecular weight of dissolved fractions and structural changes in dissolved HL.

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The Shape of Learning Curves: A Review.

IEEE Trans Pattern Anal Mach Intell

June 2023

Learning curves provide insight into the dependence of a learner's generalization performance on the training set size. This important tool can be used for model selection, to predict the effect of more training data, and to reduce the computational complexity of model training and hyperparameter tuning. This review recounts the origins of the term, provides a formal definition of the learning curve, and briefly covers basics such as its estimation.

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