Comparison of diffusion simulations: implicit scheme of the GDE with a 30-second time step (blue line), implicit scheme of the PNGM with α = 0.6 and a 15-second time step (green li... by Mouad Klai (20818364)

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Lens profiles as Ez (orange lines) force was increased and Az and Pz (green lines) forces were decreased. by Ronald A. Schachar (16674576)

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Algorithm operation steps. by Junyan Wang (4738518)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

Raw data 6–9 and 15. by Fateme Khorramroo (18086501)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”

Innovation and night light in large and small cities. by Saul Estrin (8629173)

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Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

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Land use at 6kya (6,250–5,750 years ago). by J. Bates (17507061)

ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

Expression of lipid biosynthetic genes is decreased with polyamine depletion. by Yazmin E. Cruz-Pulido (20285238)

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Wnt signaling decreases the recruitment of RAB8a to basal bodies. by Cheng Yuan (160315)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

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Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

Uganda 2023 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

“…The risk factor prevalences that increased significantly were: high blood glucose from 1.5% in 2014 to 3.3% in 2023 (p< 0.001); overweight and obesity from 19.3% in 2014 to 24.1% in 2023 (p< 0.001); current alcohol consumption from 28.5% in 2014 to 31.1% in 2023 (p=0.013); and sedentariness from 26.6% in 2014 to 31.9% in 2023 (p< 0.001). The risk factor prevalences that decreased significantly were: inadequate physical activity from 5.0% in 2014 to 3.6% in 2023 (p=0.003), and current smoke tobacco use from 9.6% in 2014, to 8.3% in 2023 (p= 0.046). …”

Uganda 2014 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

“…The risk factor prevalences that increased significantly were: high blood glucose from 1.5% in 2014 to 3.3% in 2023 (p< 0.001); overweight and obesity from 19.3% in 2014 to 24.1% in 2023 (p< 0.001); current alcohol consumption from 28.5% in 2014 to 31.1% in 2023 (p=0.013); and sedentariness from 26.6% in 2014 to 31.9% in 2023 (p< 0.001). The risk factor prevalences that decreased significantly were: inadequate physical activity from 5.0% in 2014 to 3.6% in 2023 (p=0.003), and current smoke tobacco use from 9.6% in 2014, to 8.3% in 2023 (p= 0.046). …”