List of the five domains and underlying constructs according to the Consolidated Framework for Implementation Research (CFIR). by Johnson-Pradeep Ruben (22367283)

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Nine aspects of concept mapping as suggested in the Expert Recommendations for Implementing Change (ERIC) that shall be utilized during Phase 2. by Johnson-Pradeep Ruben (22367283)

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Patient/Clinical Outcome Measures. by Johnson-Pradeep Ruben (22367283)

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Flow chart of multiphase sampling of ICMR MINDS. by Johnson-Pradeep Ruben (22367283)

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Service outcome measures. by Johnson-Pradeep Ruben (22367283)

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Spirit Figure of Phases of ICMR MINDS. by Johnson-Pradeep Ruben (22367283)

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Pre-facility, facility, and post-facility components of the logic model and specific aspects of the logic model for the implementation framework. by Johnson-Pradeep Ruben (22367283)

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Conceptual framework for costing of intervention package. by Johnson-Pradeep Ruben (22367283)

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Error-specific accuracy comparison results. by Weiling Liu (1465480)

“…It shows the excellent effect of this method in grammar error recognition and correction, and has far-reaching significance in providing accurate error correction suggestions, helping English learners improve their writing ability and ensuring the quality of English writing. …”

Comparison of Model Five-classification Results. by Chao Tang (10925)

PCA-CGAN Ablation Experiment Results. by Chao Tang (10925)

Integration of lipid ratios with multi-omic datasets to explore ether lipid metabolism in obesity. by Yvette L. Schooneveldt (22138892)

The Lang-8 corpus of learner English results. by Weiling Liu (1465480)

“…It shows the excellent effect of this method in grammar error recognition and correction, and has far-reaching significance in providing accurate error correction suggestions, helping English learners improve their writing ability and ensuring the quality of English writing. …”

Radar plots compare the performance of models with different qubit configurations across evaluation metrics: accuracy (ACC), specificity (SPEC), F1-score (F1), precision (PRE), and... by Mominul Islam (3513758)

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Training configurations for the segmentation (), diffusion (), and classification () models. by Mominul Islam (3513758)

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Subfigure (a) shows the 3D MRI volume represented as voxels in a three-dimensional coordinate system; (b) presents example 2D slices from the axial, coronal, and sagittal planes; a... by Mominul Islam (3513758)

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The graphs present the training and validation accuracy curves for the CQ-CNN models across different MRI planes (axial, coronal, sagittal, and 3-plane) and model configurations (c... by Mominul Islam (3513758)

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Schematic depiction of a classical neural network (a) and a quantum neural network (b) for binary classification. by Mominul Islam (3513758)

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Visualization of the 3D-to-2D slice extraction strategy from volumetric MRI data (axial view). by Mominul Islam (3513758)

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Performance analysis of CQ-CNN models across axial, coronal, sagittal, and combined 3-plane views. by Mominul Islam (3513758)

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