Participants’ characteristics at baseline. by Bianca Curi Braga (20642678)

“…</p><p>Intervention</p><p>Participants were randomly assigned to either a high- (n = 43) or a low- (n = 41) visual fidelity environment and were asked to select foods to have a meal with a friend.…”

VisualFidelityOSF. by Bianca Curi Braga (20642678)

“…</p><p>Intervention</p><p>Participants were randomly assigned to either a high- (n = 43) or a low- (n = 41) visual fidelity environment and were asked to select foods to have a meal with a friend.…”

Data_Sheet_1_Do You Get What I Mean?!? The Undesirable Outcomes of (Ab)Using Paralinguistic Cues in Computer-Mediated Communication.PDF by Yael Sidi (10785753)

Scatter plots of mean methylation values of hypermethylated genes (Y axis) and hypomethylated genes (X axis) in HNs with more than 10 hypermethylated genes. by Jose I. Martin-Subero (5650870)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

Table_1_Applications of Variability Analysis Techniques for Continuous Glucose Monitoring Derived Time Series in Diabetic Patients.DOC by Klaus-Dieter Kohnert (5723741)

“…In a subgroup of type 1 diabetes patients, insulin pump therapy significantly decreased SD1 (-0.85 mmol/l), SD2 (-1.90 mmol/l), and AFE (-16.59 mmol²/l²), concomitantly with %CV (-15.60). …”

<i>Reck</i> deficient mice have accelerated skin wound contraction. by Jaime Gutiérrez (401710)

Data_Sheet_1_Support- and meaning-focused coping as key factors for maintaining adult quality of life during the COVID-19 pandemic in Germany.PDF by Caroline Cohrdes (4983017)

“…</p>Results<p>During the COVID-19 pandemic, German adults mostly pursued problem- and meaning-focused coping factors and showed a relatively good QoL [Mean values (M) from 57.2 to 73.6, standard deviations (SD) = 16.3−22.6], except for the social domain (M = 57.2, SD = 22.6), and with a decreasing trend over time (β from −0.06 to −0.11, ps < 0.01). …”

Effect of different nitrate levels on chlorophyll a, chlorophyll b, and total chlorophyll contents of spinach. by Kangning Han (12001445)

Ligand binding properties of Sig1R-YFP in SK-OV-3 cells. by Sergei Kopanchuk (6406085)

<i>Kdm6a</i>^{<i>tm1d/+</i>} mice have shortened bones and altered skeletal parameters. by Christine W. Gao (18794576)

“…Representative transverse cross-sectional micro-CT reconstructions are displayed for femoral (D) cortical bone and (E) trabecular bone. <i>Kdm6a</i>^{<i>tm1d/+</i>} mice have decreased (F) femoral cross-sectional tissue area. …”

CA protects HG-dependent loss of endothelial barrier integrity. by Lucia Natarelli (823310)

Motion of RhoA protein bound to the C1-GAP domain of WT or mutant RhoGAPs. by Zen Kouchi (14898435)

AdipoR1 transgenic ovariectomized mice have lower change of serum osteocalcin and higher GPRC6A expression than WT mice in muscle tissue. by Yuan-Yu Lin (1509898)

“…(B) Expression of GPRC6A decreased after ovariectomy in mice. (C) AdipoR1 transgenic mice have higher GPRC6A expression after OVX. …”

Distribution Coefficients of the REEs, Sr, Y, Ba, Th, and U between α‑HIBA and AG50W-X8 Resin by Haoyu Li (1672648)

“…For all 19 elements, the distribution coefficients decrease with increasing acid concentration. For the REEs, a linear relationship is observed in log–log space between <i>K</i>_d values and α-HIBA molarity. …”

RipE1 undergoes phosphorylation in <i>N. benthamiana</i>, which contributes to protein stability. by Wenjia Yu (9422059)

Effect of calcium (Ca; T1-0 m<i>M</i>, T2-0.5 m<i>M</i>, T3-1 m <i>M</i>, T4-2.5 m <i>M</i>, T5-5 m <i>M</i>, T6-10 m<i>M</i>) and cadmium (Cd) treatments on the a) toatl soluble p... by Muhammad Kaleem (6159104)

Individual data and box plots on ∑PBB of all samples. by Matti Viluksela (321291)

“…<p>Individual data (A) indicate an increase in the early 1980’s, a peak in mid-late 1990’s followed by a decrease depending on study area. …”

Loss of Nemp1 leads to the expansion of erythroid progenitors and of early erythroblasts and to stress erythropoiesis. by Didier Hodzic (132944)

Individual data and box plots on ∑DDT of all samples. by Matti Viluksela (321291)