Training History: The x-axis represents the number of epochs, and the y-axis represents the L2 error for the four selected data points. by Mouad Klai (20818364)

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Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

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

“…</p><p><br></p><p dir="ltr">The data are related to the scientific paper “Sibaja Leyton M. et al., (under review) Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas”.</p><p dir="ltr">Data are available as a csv file titled:</p><p dir="ltr">"Sibaja_Leyton_et_al_Dataset_Stingless_Bee_Colony_Losses_in_Latin_America.csv".…”

3-D printed NGV specimen. by Decang Lou (21439960)

“…The results reveal that the large deviation in the manufactured vane (up to 0.5 mm at the leading edge) alters the direction of the coolant flowing out from the leading-edge film-cooling holes, affects the film coverage along the surface, and in consequence, causes the temperature near the stagnation point increasing by approximately 40 K. …”

Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Schematic diagram of monitoring points and units. by Jie Zhao (49409)

“…Both excess pore water pressure and pore pressure ratio decrease markedly after reinforcement. This substantially enhances the composite foundation’s structural stability and liquefaction resistance. …”

Model monitoring points and units coordinates. by Jie Zhao (49409)

“…Both excess pore water pressure and pore pressure ratio decrease markedly after reinforcement. This substantially enhances the composite foundation’s structural stability and liquefaction resistance. …”

3D model and section view of E3 NGV. by Decang Lou (21439960)

“…The results reveal that the large deviation in the manufactured vane (up to 0.5 mm at the leading edge) alters the direction of the coolant flowing out from the leading-edge film-cooling holes, affects the film coverage along the surface, and in consequence, causes the temperature near the stagnation point increasing by approximately 40 K. …”

Inhibition of NEAT1 decreased the miR-204-5p expression and increased Six1 expression. by Lei Li (29537)

“…<p>(A) NEAT1 expression following siRNA transfection in BEAS-2B cells; (B-D) The expression of NEAT1, miR-204-5p, and Six1 after decreasing NEAT1 expression. * p <0.05, *** p < 0.001, and **** p <0.0001.…”

Patellar 3D-MRI before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

Bidimensional High-Low Frequency (HF, LF) plane representation of the interaction among Phase and High-Low Clarity Groups_: In the Low Clarity (LC) group there was a larg... by David Vagni (8060432)

Data Sheet 1_An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization.docx by Hailong Li (216327)

“…This method exhibits tremendous potential for processing large-scale 3D point cloud data and enhancing path planning efficiency, providing a valuable technical reference for the real-time autonomous navigation of mobile robots in complex orchard environments.…”

A path model of six-factor self-compassion. by Eriko Takahashi (22608061)

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

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The result of the deviation of the angle axis between the RD and the three-dimensional point cloud coordinates during the actual movement process. by Hongliang Zou (20707270)

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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)

Femoral trochlear 3D-MRI before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

Data from: Spillage and food dust do not decrease efficacy of long-lasting insecticide-incorporated netting against stored product insects by Sabita Ranabhat (17484660)

Comparison of different spatializations for the 3D model. by Zakaria Belghali (22581967)

Distribution of the number of proteins identified per sampling point. by Joannes Adrianus Antonius Dekker (22110261)