A dynamically changing bistable switch enhances robustness and accuracy of transitions in time and space. by Jan Rombouts (5007665)

“…B) Function used to make the shape of the switch dependent on the total amount of protein, by coupling <i>a</i> to <i>X</i>_<i>T</i>. …”

Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making by Xiaofei Zhang (16483224)

“…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …”

PresQT - Services to Improve Re-use and FAIRness of Research Data and Software by Sandra Gesing (4501198)

“…PresQT services are easily integratable and target systems can be added via extending JSON files and Python functions. Data is packaged as BagITs for uploads, downloads and transfers. …”

Map Matching on Low Sampling Rate Trajectories Through Deep Inverse Reinforcement Learning and Multi Intention Modeling by Reza Safarzadeh (18072472)

“…</li><li>`mm_sequence`: Contains codes and functions related to map matching sequence which includes functions for processing and matching sequences of GPS points to the underlying road network.…”

MOMA compared to MFA-derived estimates, carbon yield efficiencies and CBA co-factor profile comparison across unconstrained, manually curated and experimentally constrained solutio... by Laura de Arroyo Garcia (9226096)

“…MOMA ranges were estimated using the wild type solution as a reference and sequentially implementing the single-gene knockouts studied by Long et al. (2019) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008125#pcbi.1008125.ref046" target="_blank">46</a>], with biomass formation as the objective function. MFA ranges were extracted from a pre-existing dataset (Long et al., 2019), using a Python algorithm to select the minimal and maximal flux ranges.…”

Code by Baoqiang Chen (21099509)

“…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Core data by Baoqiang Chen (21099509)

“…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Data_Sheet_1_Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing.docx by Kangtao Wang (9177766)

“…The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus.…”

Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

“…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…”

Table_5_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.XLSX by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Image_4_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.TIF by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Table_8_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.XLSX by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Table_3_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.XLSX by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Table_6_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.XLSX by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Table_4_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.XLSX by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Table_7_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.XLSX by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Image_2_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.TIFF by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Image_1_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.TIF by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Image_3_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.tif by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”

Image_5_MeiosisOnline: A Manually Curated Database for Tracking and Predicting Genes Associated With Meiosis.TIFF by Xiaohua Jiang (177009)

“…Annotation information was provided for both meiotic genes and predicted candidates, including basic information, function, protein–protein interaction (PPI), and expression data. …”