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)

Training-induced changes in bipedal stance. by Cristina Dolciotti (16317330)

Subjects:

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. …”

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

Subjects:

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".…”

Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

Subjects:

Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

Subjects:

Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

Subjects:

Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

Subjects:

Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

Subjects:

Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

Subjects:

Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

Subjects:

<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. …”

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

Mask R-CNN training loss graph. by Dennis Dennis (20490126)

“…The reported scale and decreased to a value close to 0 indicates that the model has effectively learned from the training data, enabling it to recognize object shapes and make accurate classifications.…”

Sex-biased model performance on a sex-balanced dataset. by M. Mendez (6624953)

Subjects:

Training Data/Validation/Test. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…The trials used a dataset of 162 individuals with IDC, split into training (113 photos) and testing (49 images) groups. …”

CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…The trials used a dataset of 162 individuals with IDC, split into training (113 photos) and testing (49 images) groups. …”

Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…The trials used a dataset of 162 individuals with IDC, split into training (113 photos) and testing (49 images) groups. …”

CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…The trials used a dataset of 162 individuals with IDC, split into training (113 photos) and testing (49 images) groups. …”