The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

"…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. …"

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... حسب Akshay Anand (118579)

Continuous Viscoelasticity Measurement of Cell Spheroids via Microfluidic Electrical Aspiration حسب Heyi Chen (19930197)

الموضوعات:

Contribution of the through-mask leakages from the cavity and channel network distributed along the periphery of the mask; a–c and d–f are decreasing porosity <i>c</i><sub><i>k</i>... حسب Akshay Anand (118579)

Biases in larger populations. حسب Sander W. Keemink (21253563)

"…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …"

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

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. حسب Kareem Hatam-Nahavandi (7384790)

Increasing fractions of mobilized and static taxa in the microbial streamwater community, with a corresponding decrease in the fraction of diluted microbial taxa, detail the shift... حسب Dawn R. URycki (9659702)

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

Factors associated with the hemoglobin level stratified by age group: Linear regression. حسب Alejandro Rojas Chaves (20614814)

Results of the generalized linear regression model with the outcome variable being perceived stress. حسب Aisha Ali Hawsawi (20685883)

Results of the generalized linear regression model with the outcome variable being coping strategies. حسب Aisha Ali Hawsawi (20685883)

Results of the generalized linear regression model with the outcome variables being depression and anxiety. حسب Aisha Ali Hawsawi (20685883)

Results of the generalized linear regression model with the outcome variable being life satisfaction. حسب Aisha Ali Hawsawi (20685883)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" حسب 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. حسب Saul Estrin (8629173)

الموضوعات:

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

الموضوعات:

The results of linear mixed model. حسب Soheila Qanbari (20455173)

"…This study aimed to assess whether enhancing M1 and S1 excitability via tDCS, alongside sensory-motor exercises, offers additional benefits for CLBP patients.…"

Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves. حسب Katie D. Pool (20141584)

A Locally Linear Dynamic Strategy for Manifold Learning. حسب Weifan Wang (4669081)

"…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …"