Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

The St Mary’s Hospital Sleep Questionnaire was used to estimate the sleep quality on the previous night. by Marcel F. Hinss (14675457)

Saliency maps were employed in order to elucidate which part of the B-scan images the machine learning focused on during training in Model 1. by Taku Toyama (102864)

Experimental protocol and behavioral evidence of perceptual learning. by Sarit F.A. Szpiro (21094755)

City-level total and sub-category energy intensity estimation using machine learning by Fei Shen (348351)

“…This study proposes a city-level total and subcategories (coal, oil, gas) energy intensity estimation method based on multi-source remote sensing data and machine learning models. …”

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

Subjects:

Data Sheet 1_Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation.docx by Xianzhi Deng (20548430)

“…In this study, we proposed a deep learning model with enhanced interpretability based on attention and vegetation indices calculation for global spectral feature mining to accurately estimate photosynthetic capacity. …”

Comparison of ν_s measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets. by Fahd Saeed Alakbari (10701871)

Supplemental information for "Data Driven Model to Estimate Furrow Irrigation Sediment Loss in Western U.S." by Bradley King (16921360)

“…A transfer learning approach was used to estimate furrow sediment loss. …”

Estimation and prediction of the incidence <i>I</i>(<i>t</i>) in synthetic data. by Oscar Fajardo-Fontiveros (20469421)

Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neo... by José L. Safanelli (20552654)

Observer model and human/model behavior for two observers. by Sarit F.A. Szpiro (21094755)

“…Note the bimodal shape of the estimate distribution (arising from the implicit discrimination judgement) and its dependence on learning and stimulus motion direction.…”

Three models to estimate FAZ area from B-scan OCT images. by Taku Toyama (102864)

Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)

The significant decrease in GLT-1 levels observed in the nucleus accumbens of rats that had consumed morphine for fifty-six days was completely reversed by the co-administration of... by María Elena Quintanilla (8068691)

Data Sheet 1_Empagliflozin’s cardioenergetic protective effects through PPARα pathway modulation in heart failure.pdf by Hua Wei (60877)

“…Post-treatment, MRGlu and glucose uptake decreased markedly in the empagliflozin (EMPG) group, while no significant changes were observed in the fenofibrate (FF) group. …”

RL agent simulations for slowly-changing perceptual biases. by Yelin Dong (21396067)

“…(<b>A, B</b>) The RL agent adjusts independent decision criteria for each optic flow condition, with a moderately fast learning rate of 0.04 deg/trial. (A) Solid curves depict the learned decision criteria across the three contexts: leftward (red), rightward (green), and neutral (blue) self-motion. …”

School learning model dispositions data. by David A. Katz (10056006)

“…<div><p>The COVID-19 pandemic and associated prevention measures reshaped students’ lives. We estimated the effects of virtual learning during the pandemic on adolescents’ mental health, suicidal thoughts and behaviors, substance use, and violence-related experiences and behaviors. …”