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)

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

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. …”

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

<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. …”

The flowchart of the large model for font style transfer. by Weijia Zhu (65481)

Histogram of number of drugs with (a) increased and (b) decreased usage within 12 months. by Nguyen Thach (20347852)

List of prompts, with clinical note prompts abbreviated. The prompts vary in three aspects: prompt format, clinical scenario (indicated by subgroup number), and the mention of an L... by Crystal T. Chang (22208956)

Subjects:

The prediction result is displayed on the hotel dataset, which includes the training procedure when the loss function is decreased and the model saved with training rounds as a multiple of five. by Hongxia Wang (241142)

“…<p>The prediction result is displayed on the hotel dataset, which includes the training procedure when the loss function is decreased and the model saved with training rounds as a multiple of five.…”

Increasing fractions of mobilized and static taxa in the microbial streamwater community, with a corresponding decrease in the fraction of diluted microbial taxa, detail the shift... by Dawn R. URycki (9659702)

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

LOSS curves for BWO-BiLSTM model training. by Xiangjuan Liu (618000)

Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs. by Nguyen Thach (20347852)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

“…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”

Example images from the (a) Cytoplasm dataset and (b) LIVECell dataset used for training and example images from each of our evaluation datasets, (c) PBL-HEK and (d) PBL-N2a. by Alexandra Dunnum VandeLoo (22209218)

BAS training samples. by David W. Lamphear (20760076)

“…<p>An example of BAS sample locations used to train the Maxent model, TAOs ≥ 50 meters tall, potential habitat classifications, and 5-acre circular moving window with central target cell. …”

Data of the article "The physiological cost of being hot: High thermal stress and disturbance decrease energy reserves in dragonflies in the wild" by Eduardo Ulises Castillo-Pérez (20869904)

“…Despite this, individuals from disturbed sites were larger but had lower energy reserves than those from preserved sites. …”

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

“…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”

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. …”

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

Subjects: