Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

Raw data. by Jia Zhu (135506)

“…The remaining working conditions did not exhibit a significant difference. However, the observed decreasing trend was consistent with previously documented research. …”

T-DNA insertions in <i>AtB’’α</i>, <i>AtB’’β</i>, <i>AtB’’γ</i>, and <i>AtB’’δ</i> do not affect touch-induced root bending. by Hyuk Sung Yoon (20208672)

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<i>atb’’αβγδ</i> plants exhibit retarded development under calcium-deficient and ABA-supplemented conditions after germination. by Hyuk Sung Yoon (20208672)

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The expression levels of putative VIP1 target genes that were upregulated by brushing in brushed <i>atb’’αβγδ</i> leaves. by Hyuk Sung Yoon (20208672)

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Leaves of the <i>atb’’αβγδ</i> plants under brushing-induced mechanical stress conditions. by Hyuk Sung Yoon (20208672)

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Fig 4 - by Hyuk Sung Yoon (20208672)

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Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. 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)

“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. 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)

“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. 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. …”

AUT00201 (1 µM) can rescue AP width in cuprizone mice. by Sara Hijazi (21656615)

“…In the responsive cells from cuprizone mice (red) a significant increase in PV interneuron firing frequency at lower current steps (gray) was observed (<i>group x current two-way repeated measures: n = 8 cells from 4 mice: p = 0.05287; AUT00201 effect: F(1,60) = 5.050, *p = 0.0457. …”

HPD 1466 decreases empty capsid accumulation in cells replicating HBV. by Daniel P. Bradley (10306893)

TSLPR deficient mice show decreased AHR upon HDM exposure. by Latifa Koussih (326043)

RTL8 incorporates into PEG10 VLPs and decreases the efficiency of release. by Will Campodonico (20485651)

<i>shk-1</i> mutants display decreased glycogen storage. by Longjun Pu (20685717)

Superimposition of the cephalometric tracings obtained before and after treatment of case with premolar tooth extraction. by Lijuan Liu (136685)

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Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction. by Lijuan Liu (136685)

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Typical measurement parameters. by Lijuan Liu (136685)

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Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

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Anonymized raw cephalometric data. by Lijuan Liu (136685)

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