Data underlying the findings. حسب Carol Kotliar (22351525)

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CONSORT flow diagram of participant recruitment and retention. حسب Carol Kotliar (22351525)

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Effect of MTT 24.5 program on cognitive abilities outcomes. حسب Carol Kotliar (22351525)

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A. Mean change from baseline on Cognitive Ability Scores. حسب Carol Kotliar (22351525)

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MTT’s structural unit defined as the combination of a new knowledge and cognitive skills for its effective learning and memorization. حسب Carol Kotliar (22351525)

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Patch-level landscape metrics derived using the <i>HabSpace</i> function of <i>HabplanR</i> for the entire 35 three-year projection period, across two possible Habplan solutions. حسب Max D. Jones (6269006)

Demonstration of the limitations of existing spatial analysis methods, namely nearest neighbor distance (NND), G-cross function and Morisita-Horn index. حسب Mai Chan Lau (3135303)

a) Representation of the deployed porous media submitted to an incident isotropic distribution function <i>f</i>_<i>i</i> with gaussian spatial profile at the inlet face. حسب Loris Ibarrart (15195203)

(a): Sample statistical graphs of different types of defects. حسب Yazhou Li (277980)

Random clustering rates and sensitivity of clustering strategies across varying settings. حسب Katharina Waury (14203284)

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PCA of full simulated repertoire using sequence descriptors. حسب Katharina Waury (14203284)

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Annotated antibody pair dataset. حسب Katharina Waury (14203284)

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Antibody pair dataset characteristics. حسب Katharina Waury (14203284)

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Results of simulated repertoire clustering. حسب Katharina Waury (14203284)

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Performance comparison of different clustering strategies. حسب Katharina Waury (14203284)

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Random clustering rates and sensitivity of clustering strategies using the CDR length criterion. حسب Katharina Waury (14203284)

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BCR repertoire clustering approaches. حسب Katharina Waury (14203284)

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Limitations of clustering approaches. حسب Katharina Waury (14203284)

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Aggregated substitution likelihoods. حسب Katharina Waury (14203284)

الموضوعات:

Functional Projection <i>K</i>-means حسب Roberto Rocci (16022201)

"…<p>A new technique for simultaneous clustering and dimensionality reduction of functional data is proposed. The observations are projected into a low-dimensional subspace and clustered by means of a functional <i>K</i>-means. …"