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

List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. by Yinan Xu (12440894)

“…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…”

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

“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”

Assessment values of machine learning models. by Bin Pan (742525)

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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)

“…Moreover, annual colony losses also decreased with higher abundance of surrounding forested area. …”

<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 locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”

NSC population and proliferation decrease drastically during the second postnatal week of DG development. by Cristina Medina-Menéndez (21800157)

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreasing order by absolute value for the cancer outcomes. by Eric Wang (30587)

“…The features are sorted in decreasing order by absolute value for the cancer outcomes.…”

Incorporating a social responsibility goal in the prompt causes overleverage in utilities (A) and decreases risk of low ESG rating (B) (Study 3). by Philipp Winder (21615570)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Impolite prompting resulted in a significant decrease in disinformation production across all models (davinci-002, 59%; davinci-003, 44%; and gpt-3.5-turbo, 28%) and a slight reduction for gpt-4 (94%).…”

Association between the sum of health behaviors and decrease in physical health from before to during the pandemic.... by Elie Mulhem (22537863)

“…<p>Association between the sum of health behaviors and decrease in physical health from before to during the pandemic. …”

Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

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GM Mask image count after preprocessing. by Muhammad Zubair (728141)

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Proposed Multi-Layer U-Net model for gray matter segmentation. by Muhammad Zubair (728141)

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Gray Matter segmentation results using the proposed Multi-layer U-Net Model. by Muhammad Zubair (728141)

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Gray matter segmentation results using the Attention U-Net model. by Muhammad Zubair (728141)

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Gray matter segmented views of the brain. by Muhammad Zubair (728141)

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Performance metrics of the standard U-Net (Vanilla U-Net) for the brain segmentation. by Muhammad Zubair (728141)

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Architecture of Multi-EfficientNet. by Muhammad Zubair (728141)

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Average Saliency Map Results. by Muhammad Zubair (728141)

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