Hemodynamic variables before and during the MS task. by Daisuke Kume (14312076)

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Experimental protocol. by Daisuke Kume (14312076)

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Time-course changes in hemodynamic variables. by Daisuke Kume (14312076)

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S1 Dataset - by Daisuke Kume (14312076)

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Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

AdMSC-EVs enhanced colony formation and migration of LECs and decreased proliferation. by Xiaoqin Li (1399105)

1-MX significantly increases levels of neurotransmitters. by Ralf Jäger (35049)

Increase in multiple-choice question scores pre- and post-VR operation. by Akihiro Kakimoto (343218)

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

ERG from DBA/2J mice at 9 months of age. by Eric R. Muir (11819939)

Mean interval from initial diagnosis to initiation of non-pharmacological treatment by year. by Mingee Choi (15250732)

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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)

Serum metabolomic response to aging. by Gwangho Yoon (5771678)

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Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

Mean decrease Gini score by Tweet and user characteristics. by Gray Babbs (16648894)

Summary of previous studies in vitamin D and intertrochanteric fractures association and results of our study. by Kamran Alijanpour (20314706)

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Baseline characteristics of the study participants and the results of laboratory measurements. by Kamran Alijanpour (20314706)

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Comparison of serum vitamin D and calcium levels in patients with stable and unstable intertrochanteric fractures included in this study. by Kamran Alijanpour (20314706)

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Decrease of the mean number of natural teeth and POPs with age. by Sul-Hee Kim (11873853)