Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_2_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Differential protective effects of a history of thyroid cancer on breast cancer-specific mortality in patients at age<50years and age≥50years at the diagnosis of breast cancer. by Weiwei Cheng (582223)

The lack of Nrf2 does not affect PMN phagocytic capacity. by Doumet Georges Helou (7255823)

KDM6A mRNA expression is decreased in PTFE mice. by Simon Lebek (9756148)

2wT scale-up flow chart. by Phiona Marongwe (6818120)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

Exercise test characteristics for identifying stenosis ≥ 50% in any limb among the 60 limbs with normal ABIs (> 0.91). by O. Stivalet (6890189)

Anion-Assisted Glycosylation of Galactose: A Computational Study by Kerli Tali (22769704)

“…<i>i</i>PrOH and trichloroacetamide (TCA) present in solution can significantly decrease the energy of the substitution step. This knowledge has then been applied to two saccharide glycosylation reactions described previously by other research groups, where the calculated reaction barriers were found to be too high for the experimental conditions given. …”

Differential expression analysis of nuclear transcripts after siAPOBEC3A depletion reveals induction of TP53 targets and decreases in cell cycle and cell growth regulator transcrip... by Mason A. McCool (11889842)

Functional characterization of skinned myocardium prepared from Epac1TG. by Yoshiki Ohnuki (576298)

Kylo-0603’s EC50 & tissue levels. by Xueqin lu (22250795)

Epac activation increased MYPT phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

Schematic illustration of the possible steps of ‘stalk mechanism’ of the electrofusion of two ‘single GUVs’. by Md. Tariqul Islam Bhuiyan (18794375)

Epac activation increased RLC phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

Model flow diagram. by Donald A. Belcher (4836420)

Differences in abundance of lipid molecules in liver of <i>Fmo5</i>^<i>-/-</i> and WT mice. by Ian R. Phillips (5074121)

“…Red dots are lipids that are significantly increased or decreased in <i>Fmo5</i>^<i>-/-</i> mice with a -log₁₀ <i>q</i> above 1.301 (<i>q</i> <0.05) (grey line). …”