Mean blood glucose responses (mmol/L) to an oral blood glucose bolus 2g/kg during a 120-minute period and mean area under the curve (mmol/L.min) during the oral blood glucose toler... by Elsie D. Oduor (22521785)

Mean amplitude of the Slow Delta Envelope and period of Slow Delta oscillations in the disconnected hemisphere, compared with respect to wakefulness and NREM sleep in the reference... by Michele Angelo Colombo (22446342)

Placebo test. by Le Zhu (1771669)

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Line graph illustrating mean random blood glucose (mmol/L) at weekly intervals during the induction phase. by Elsie D. Oduor (22521785)

Mean lesion depth of the SDF test groups and the SDF-free group at baseline and post-cycling time points. by Suphanida Kaewkamchai (19762172)

Line graph illustrating mean random blood glucose (mmol/L) at weekly intervals during the treatment phase. by Elsie D. Oduor (22521785)

Mean mineral density of the SDF test groups and the SDF-free group at baseline and post-cycling time points. by Suphanida Kaewkamchai (19762172)

Sociodemographic and employment baseline characteristics. by Beatriz Arregui-Gallego (21553735)

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Baseline comparison of posttraumatic stress symptomatology according to sociodemographic and occupational variables. by Beatriz Arregui-Gallego (21553735)

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Psychological and coping factors baseline characteristics. by Beatriz Arregui-Gallego (21553735)

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Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Downregulation of <i>TcPiezo1</i> expression decreases Ca²⁺ entry in <i>T. cruzi.</i> by Guozhong Huang (673424)

“…(B) Downregulation of <i>TcPiezo1</i> expression showed a significant decrease of intracellular Ca²⁺ (+Tet). …”

<i>N. parisii</i> infection is not significantly changed in <i>C. elegans</i> sphingolipid biosynthesis mutants. by Hala Tamim El Jarkass (16625309)

Flowchart of the study population. by Gábor Szaló (22615130)

“…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”

Characteristics of study population. by Gábor Szaló (22615130)

“…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”

Characteristics of the included studies. by Xin Liu (43569)

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Summary of results. by Xin Liu (43569)

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Bias risk assessments for each RCT study. by Xin Liu (43569)

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