Data Sheet 1_Phosphate transporter gene families in rye (Secale cereale L.) – genome-wide identification, characterization and sequence diversity assessment via DArTreseq.docx by David Chan-Rodriguez (4865152)

“…Each PHT family has a particular physiological and cellular function. Rye (Secale cereale L.) is a member of Triticeae, and an important source of variation for wheat breeding. …”

Enhancements to SarcGraph’s z-disc segmentation pipeline. by Saeed Mohammadzadeh (13492285)

Temporal analysis of epithelial cells. by Yanfeng Xue (465345)

Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

RNA sequencing analysis and screening of anoikis-related signature genes. by Yanfeng Xue (465345)

<b>Supplementary material for "Modified nonlocal strain gradient theory for static bending, free vibration and buckling analysis of functionally graded piezoelectric nanoplates"</b... by Phạm Văn Vinh (19543726)

“…Both nonlocal (softening) and strain gradient (hardening) effects are considered simultaneously in this novel theory. …”

This figure presents the performance of a Support Vector Regression (SVR) model on predicting cellular structural organization scores. by Saeed Mohammadzadeh (13492285)

PLOS One data. by Ayşenur Eser (21713911)

“…Consequently, the efficacy of fNIRS signals in predicting the valence of standardized stimuli from the International Affective Picture System (IAPS) was assessed. fNIRS data were collected from twenty healthy participants while images from the IAPS database were presented. The images varied in both valence (i.e., positive, neutral, negative) and arousal (i.e., high, low) level. …”

Data Sheet 1_A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning.pdf by Congyang Li (10012877)

“…Objective<p>Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ankle fracture surgery using various machine learning algorithms to facilitate early identification of high-risk patients.…”

POF after 300 iterations. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Optimization results of the CHPDEED system. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Comparison of POF for CHPDEED system. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

DEA process. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Improvements to the MDEA process. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Parameter sensitivity analysis results. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Steps for obtaining a complete Pareto frontier. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

CHP system architecture. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

POF after 150 iterations. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Statistical test result. by Tao Dong (15551)

“…The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. …”

Monthly averages of ED2 model simulations initialised with airborne lidar structure, Jan 1981-Dec 2018, Brazilian Amazon by Marcos Longo (1928929)

“…Sub-grid information include data aggregated by plant functional type, by plant size, by disturbance history, and by edaphic characteristics (soil texture or soil depth).…”