Demographic characteristics of participants. by Evelyn Aboagye Addae (22648064)

“…While there was a significant direct negative effect of fear of COVID-19 on SWB in the absence of the mediators, there was no significant negative effect of fear of COVID-19 on SWB after adjusting for the mediators in the model. …”

Participant characteristics and study measures. by Evelyn Aboagye Addae (22648064)

“…While there was a significant direct negative effect of fear of COVID-19 on SWB in the absence of the mediators, there was no significant negative effect of fear of COVID-19 on SWB after adjusting for the mediators in the model. …”

Model-derived results show increased social following in individuals with disrupted utility-based risky decision-making. by Mark A. Orloff (20371158)

(A) Example of a hypnogram for the same dog under control and trazodone conditions. by Magaly Catanzariti (20865500)

S1_raw_images. by Lijun Mao (561880)

“…However, the involvement of miR-122 in regulation of TGF-β signaling and its implication in TGF-β-related HCC metastasis remains obscure. …”

Raw data for graphs. by Lijun Mao (561880)

“…However, the involvement of miR-122 in regulation of TGF-β signaling and its implication in TGF-β-related HCC metastasis remains obscure. …”

The predicted AREs in the 3’UTR of ITGAV mRNA. by Lijun Mao (561880)

“…However, the involvement of miR-122 in regulation of TGF-β signaling and its implication in TGF-β-related HCC metastasis remains obscure. …”

<i>Tg</i>ATM1-depleted <i>Toxoplasma</i> are functionally complemented through expression of the <i>Plasmodium</i> or yeast homolog. by Deepti Shrivastava (17715780)

Downregulation of ATM1 affects iron-sulfur cluster proteins in <i>Toxoplasma</i> and iron levels in <i>Plasmodium</i>. by Deepti Shrivastava (17715780)

Tuning curve sharpening and familiarity suppression. by Weifan Wang (4669081)

PRMT5 regulates alternative splicing landscape under hypoxia. by Srinivas Abhishek Mutnuru (22513457)

A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

The values of the atmospheric pollen parameters. by Krystyna Piotrowska-Weryszko (11320630)

“…The decrease in the annual pollen sum was significantly associated with lower humidity in March and May and higher temperatures in June. …”

Improving QoL through the use of STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…<div><p>Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting millions of patients worldwide, with significant economic and social implications. The increasing prevalence of PD, coupled with rising healthcare costs, necessitates cost-effective solutions for patient management. …”

Scenario 1. Moderate patient with STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…<div><p>Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting millions of patients worldwide, with significant economic and social implications. The increasing prevalence of PD, coupled with rising healthcare costs, necessitates cost-effective solutions for patient management. …”

Scenario 2. Advanced patient with STAT-ON™. by Daniel Rodriguez-Martin (22411006)

“…<div><p>Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting millions of patients worldwide, with significant economic and social implications. The increasing prevalence of PD, coupled with rising healthcare costs, necessitates cost-effective solutions for patient management. …”

<b>Role of the Chaperone ClpB in</b><b> </b><b>Mycoplasma bovis</b><b> Virulence: Implications for </b><b>stress response, a</b><b>dhesion, </b><b>b</b><b>iofilm </b><b>d</b><b>eve... by Hui zhang (22187170)

Differentially used transcripts (DUT) for T1R and LEP groups suggest dysregulation of inflammatory circuitry in T1R. by Wilian Correa-Macedo (11813183)

“…Next, DUT with non-significant changes were assigned PΔ = 0. Given that no gene ontology (GO) or pathway enrichments were found, we searched the annotated function of each implicated gene in the GO, Reactome and KEGG databases. …”

Microbiome-host genetic association. by Tamizhini Loganathan (18538349)

“…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …”

Summary description of the samples. by Tamizhini Loganathan (18538349)

“…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …”