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

“…On average, meliponiculturists lost 43.4 % of their stingless bee colonies annually, 33.3 % during the rainy season, and 22.0 % during the dry season. We found that colony losses during the rainy season decreased with higher abundance of forested areas and increased with higher abundance of agricultural area around meliponaries. …”

Decrease in loss during the training process. by Muhammad Idrees (92773)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

<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. …”

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

A Locally Linear Dynamic Strategy for Manifold Learning. by 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). …”

Structure of a trial. by Marcel F. Hinss (14675457)

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Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”

STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”

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

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Association between the sum of health behaviors and decrease in physical health from before to during the pandemic. Results are from linear model analysis adjusted for age, gender and additional covariates.... by Elie Mulhem (22537863)

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Linear regressions of consumer stable carbon and nitrogen isotope values and collection date. by Nathan D. McTigue (10706460)

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The Samn-Perelli Scale is a 7-point Likert scale used to assess fatigue [42, 45]. by Marcel F. Hinss (14675457)

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The Ishihara test for colourblindness [41] encompasses stimuli that can determine the degree and type of colourblindness a person has. by Marcel F. Hinss (14675457)

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Boxplot of Teamwork and collaboration scores as a function of Time. by Thales Guardia de Barros (22216025)

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Linear regressions of pPOM and sPOM stable carbon and nitrogen isotope values versus collection date. by Nathan D. McTigue (10706460)

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Distribution of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

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Boxplot of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

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Overview of the WeARTolerance program. by Ana Beato (20489933)

“…The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. In phase 2, participants acknowledged the activities’ relevance, reported overall satisfaction with the program, and showed great enthusiasm and willingness to learn more. …”

Association of each health behavior and the reported decrease in psychological well-being during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors.... by Elie Mulhem (22537863)

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