<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)

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

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”

Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

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Accuracy and loss of LSTM model training and testing. by Leijie Wang (21485157)

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Detailed Diagram of the SAMCell Pipeline, with stages (a) Ground truth distance map creation for training/fine-tuning (b) Fine-tuning of the Segment Anything Model, where we choose... by Alexandra Dunnum VandeLoo (22209218)

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

Simulation performance and control effect of BP-PID. by Leijie Wang (21485157)

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Comparison of the transmission structure of the insulin pump. by Leijie Wang (21485157)

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Workflow and structure of the insulin pump. by Leijie Wang (21485157)

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The design of the brushless direct current motor (BLDCM) closed-loop speed regulating system. by Leijie Wang (21485157)

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Boxplot of theoretical and actual injection doses. by Leijie Wang (21485157)

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

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

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

Classification model parameter settings. by Chao Tang (10925)

“…Simultaneously, we designed a two-stage conditional encoding-decoding architecture that builds category-independent feature spaces from early training stages, fundamentally breaking the feature space bias caused by the “Matthew effect” and effectively preventing majority classes from compressing minority class features during generation. …”

Setting of experimental environment and model parameters. by Guozhu Sui (21672798)

PCA-CGAN model parameter settings. by Chao Tang (10925)

“…Simultaneously, we designed a two-stage conditional encoding-decoding architecture that builds category-independent feature spaces from early training stages, fundamentally breaking the feature space bias caused by the “Matthew effect” and effectively preventing majority classes from compressing minority class features during generation. …”

Data set. by Belachew Tekleyohannes Wogayehu (19470257)

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)

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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