The impact of health knowledge and obesity status on the effectiveness of a warning label. by Yulian Ding (5984591)

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Product attributes and attribute levels. by Yulian Ding (5984591)

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Dataset used in this study. by Yulian Ding (5984591)

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Socio-demographics of the subsamples with different habit strengths. by Yulian Ding (5984591)

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Definitions of the variables. by Yulian Ding (5984591)

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Effect of different doses of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on urea and creatinine levels. Data represented as mean±SEM... by Fatma A. Moharram (9276104)

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MXene-Coated Liquid Metal Nanodroplet Aggregates by Mason Zadan (8667870)

“…In contrast to silicone-based composites containing LM droplets or MXene nanosheets alone, these MXene-LM-silicone-based composites exhibit an exponential increase in thermal and electrical conductivity with decreasing interfacial thickness with significantly lower LM volume fractions (25 vol %) while avoiding LM rupture and bleed-out. …”

MXene-Coated Liquid Metal Nanodroplet Aggregates by Mason Zadan (8667870)

“…In contrast to silicone-based composites containing LM droplets or MXene nanosheets alone, these MXene-LM-silicone-based composites exhibit an exponential increase in thermal and electrical conductivity with decreasing interfacial thickness with significantly lower LM volume fractions (25 vol %) while avoiding LM rupture and bleed-out. …”

MXene-Coated Liquid Metal Nanodroplet Aggregates by Mason Zadan (8667870)

“…In contrast to silicone-based composites containing LM droplets or MXene nanosheets alone, these MXene-LM-silicone-based composites exhibit an exponential increase in thermal and electrical conductivity with decreasing interfacial thickness with significantly lower LM volume fractions (25 vol %) while avoiding LM rupture and bleed-out. …”

Co-transformed cells grow preferentially as tumors in peritoneal cavities. by Mitchell Hayes (5334887)

Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

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Hyperparameter ranges by Eloy Geenjaar (21533195)

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Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

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The influence of training-time noise on classification accuracy and reliability by Eloy Geenjaar (21533195)

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Data sample demographics. Note that AP refers to anti-psychotic medication, and AD refers to anti-depressive medication. Thus, AP and AD in this table refer to the percentage of pa... by Eloy Geenjaar (21533195)

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An abstract depiction of our model, for the independent version of the model, the context representation is not concatenated inside the local encoder. by Eloy Geenjaar (21533195)

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These subfigures show a visualization of the context embeddings for the DSVAE model with LS=2=4,CS=2. The first subfigure from the left shows three patient clusters, the second sub... by Eloy Geenjaar (21533195)

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The window classification accuracy for two of our proposed models (DSVAE, IDSVAE), windowed FNC (wFNC), and two baseline methods: context-only (CVAE), and local-only (LVAE). by Eloy Geenjaar (21533195)

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The three schizophrenia patient clusters visualized using functional connectivity matrices. To create the visualizations, we take all the windows belonging to a cluster and average... by Eloy Geenjaar (21533195)

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Analysis of FROM dynamics (pre-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”