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

Comparison of absolute and relative errors. by Lahoucine Tadoummant (21647670)

“…A significant reduction in both error types is observed, with the relative error |<i>X</i>_<i>r</i>| decreasing from approximately 10⁻¹ to 10⁻⁸. …”

Rate of convergence for relative errors. by Lahoucine Tadoummant (21647670)

“…A significant reduction in both error types is observed, with the relative error |<i>X</i>_<i>r</i>| decreasing from approximately 10⁻¹ to 10⁻⁸. …”

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)

Subjects:

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)

Subjects:

Fig 4 - by Hyuk Sung Yoon (20208672)

Subjects:

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. …”

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)

Histopathological appearance of the liver. by Ayça Toprak-Semiz (22582110)

Histopathological appearance of the heart. by Ayça Toprak-Semiz (22582110)

Bar chart of state-wise annual temperature shift. by MD. Nahid Hassan Nishan (22264861)

“…Across most states, a slight decrease in age at menarche was observed, with the exception of Maharashtra, which showed an increase. …”

Demographic characteristics of the participants. by MD. Nahid Hassan Nishan (22264861)

“…Across most states, a slight decrease in age at menarche was observed, with the exception of Maharashtra, which showed an increase. …”

Proviral load in blood was decreased in HTLV-1 infected CD133+ Hu-mice when vCTCF-BS was deleted. by Ancy Joseph (5634794)

Aging regulates mRNA levels of renal fibrosis-related genes in mice across varying age cohort. by Lihua Qiu (178071)

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. …”

Structural equation models raw data. by K. Kanoho Hosoda (19929050)

“…Giving kindness was significantly associated with decreased stress reduction and decreased institutional identity. …”