Generalizable improvement of QOL measures on day 7 vs. infusion day. by Jordan K. Abbott (8934239)

Stress-independent induction of XBP1s, ATF6, or XBP1s and ATF6 creates 4 distinct endoplasmic reticulum proteostasis environments in SupT1^DAX cells (basal, +XBP1s, +ATF6... by Jimin Yoon (9646685)

Carbon (<i>δ</i>¹³C) and nitrogen (<i>δ</i>¹⁵N) isotope data from bone collagen from archaeological fauna and modern plants in the isthmus area, including Cos... by Ashley E. Sharpe (8681484)

Crude rates in select US counties between 1999 and 2024. by Tony Wong (779773)

Age-associated disruption in URT barrier function. by Kristen L. Lokken-Toyli (9455263)

Neutrophil Superoxide anion production, Heat map for gene expression from neutrophils of CGD patients, and PCA plot for genome-wide gene expression. by Daniel R. Ambruso (12042605)

Pearson clusters and fPCA considering all protein-coding genes. by Leo Zeitler (13775500)

Table_2_Effects of computer-generated patterns with different temporal and spatial frequencies on choroidal thickness, retinal dopamine and candidate genes in chickens wearing lens... by Hong Liu (50694)

“…</p>Results<p>(1) The smallest fields caused the largest decrease in ChT. (2) Negative lens treatment induced on average 11.7 μm thinner choroids. …”

Table_1_Effects of computer-generated patterns with different temporal and spatial frequencies on choroidal thickness, retinal dopamine and candidate genes in chickens wearing lens... by Hong Liu (50694)

“…</p>Results<p>(1) The smallest fields caused the largest decrease in ChT. (2) Negative lens treatment induced on average 11.7 μm thinner choroids. …”

Table_3_Effects of computer-generated patterns with different temporal and spatial frequencies on choroidal thickness, retinal dopamine and candidate genes in chickens wearing lens... by Hong Liu (50694)

“…</p>Results<p>(1) The smallest fields caused the largest decrease in ChT. (2) Negative lens treatment induced on average 11.7 μm thinner choroids. …”

Image_2_Effects of computer-generated patterns with different temporal and spatial frequencies on choroidal thickness, retinal dopamine and candidate genes in chickens wearing lens... by Hong Liu (50694)

“…</p>Results<p>(1) The smallest fields caused the largest decrease in ChT. (2) Negative lens treatment induced on average 11.7 μm thinner choroids. …”

Image_1_Effects of computer-generated patterns with different temporal and spatial frequencies on choroidal thickness, retinal dopamine and candidate genes in chickens wearing lens... by Hong Liu (50694)

“…</p>Results<p>(1) The smallest fields caused the largest decrease in ChT. (2) Negative lens treatment induced on average 11.7 μm thinner choroids. …”

DataSheet_1_Identifying trade-offs and reference points in support of ecosystem approaches to managing Gulf of Mexico menhaden.docx by Igal Berenshtein (585738)

Video_1_PET/CT imaging detects intestinal inflammation in a mouse model of doxorubicin-induced mucositis.wmv by Sina Dalby (14262449)

“…Moreover, in the doxorubicin-treated group, villus lengths were decreased by 23-28% on days 1 and 3 in the small intestine (p < 0.05), and jejunal levels of tumour necrosis factor and interleukin-1β were significantly increased on day 3 (p < 0.05).…”

DataSheet_1_PET/CT imaging detects intestinal inflammation in a mouse model of doxorubicin-induced mucositis.docx by Sina Dalby (14262449)

“…Moreover, in the doxorubicin-treated group, villus lengths were decreased by 23-28% on days 1 and 3 in the small intestine (p < 0.05), and jejunal levels of tumour necrosis factor and interleukin-1β were significantly increased on day 3 (p < 0.05).…”

Changes in ambiguity and risk attitudes following the intervention. by Ruonan Jia (4731072)

“…<i>P</i> values were adjusted by FDR procedures, and significance levels are labeled as: n.s., non-significant, *, p < 0.05, **, <i>p</i> < 0.01, ***, <i>p</i> < 0.001. …”

Figure 2 from Microbiome Landscape and Association with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors: A SCRUM-Japan MONSTAR-SCREEN Study by Kentaro Sawada (21430568)

“…<b>B,</b> α diversity based on the observed number of KO indices according to cancer type, which was based on the analysis of at least five specimens obtained from patients in cohort 1 (<i>n</i> = 817). <b>C,</b> Heatmaps depicting relative increases and decreases in bacterial species in patients with each cancer type compared with all patients as measured using 16S rRNA analysis and presented as ALDEx2 effect size. …”