Data Sheet 1_Predicting biomarkers of progressive pulmonary fibrosis: morphological, cytokine profile, and clinical portrait.doc by Nicol Bernardinello (9419798)

“…Objective<p>The term progressive pulmonary fibrosis (PPF) refers to a specific disorder that becomes worse despite optimal treatment. The pathogenic explanation of this progressive worsening is still to be found. …”

PR curves of improved YOLOv5s. by Tianyu Cheng (5075000)

“…Experimental results show that the mAP@0.5% of improved YOLOv5s algorithm increases from 92.7% to 99.3%, which means 6.6% accuracy improvement compared with the YOLOv5s model. …”

Data Sheet 2_Investigating the effects of previous injury on subsequent training loads, physical fitness, and injuries in youth female basketball players.pdf by Yuanqi Huang (7301531)

“…Previous injury status was clustered using the K-means clustering algorithm to separate players into high-risk and low-risk groups. …”

Data Sheet 1_Investigating the effects of previous injury on subsequent training loads, physical fitness, and injuries in youth female basketball players.pdf by Yuanqi Huang (7301531)

“…Previous injury status was clustered using the K-means clustering algorithm to separate players into high-risk and low-risk groups. …”

IDWE_CHM (2000–2023) by Hao Chen (11770646)

“…</p><p dir="ltr">For a comprehensive description of the project, please refer to:<br><b>An Incremental Dynamic Weighting Ensemble Framework for Long-Term and NRT Precipitation Prediction</b><br><a href="https://figshare.com/projects/An_Incremental_Dynamic_Weighting_Ensemble_Framework_for_Long-Term_and_NRT_Precipitation_Prediction/241619" rel="noreferrer" target="_blank">https://figshare.com/projects/An_Incremental_Dynamic_Weighting_Ensemble_Framework_for_Long-Term_and_NRT_Precipitation_Prediction/241619</a></p><p dir="ltr"><br></p><p dir="ltr">The IDWE_CHM dataset provides <b>four precipitation variables</b>, all derived from the ensemble framework but with slightly different modeling approaches:</p><ul><li><b>ENS_Reg</b> – A purely regression-based merged precipitation estimate. This product is generated by optimally weighting and combining the input datasets (ERA5-Land, IMERG, GSMaP, etc.) using regression, without additional classification. …”

The improved DeepSORT framework. by Tianyu Cheng (5075000)

“…Experimental results show that the mAP@0.5% of improved YOLOv5s algorithm increases from 92.7% to 99.3%, which means 6.6% accuracy improvement compared with the YOLOv5s model. …”

YOLOv5s model with attention modules. by Tianyu Cheng (5075000)

“…Experimental results show that the mAP@0.5% of improved YOLOv5s algorithm increases from 92.7% to 99.3%, which means 6.6% accuracy improvement compared with the YOLOv5s model. …”

Data Sheet 1_Transcriptional fingerprinting of regulatory T cells: ensuring quality in cell therapy applications.docx by Zhang Cheng (802884)

“…We employed a non-parametric algorithm to score Treg manufacturing products for their cell identity and expansion fingerprints.…”

Data Sheet 1_Developing and validating a machine learning model to predict multidrug-resistant Klebsiella pneumoniae-related septic shock.docx by Shengnan Pan (12966095)

“…Feature selection was performed using LASSO regression and the Boruta algorithm. Seven machine learning algorithms were evaluated, with logistic regression chosen for its optimal balance between performance and robustness against overfitting.…”

Table 2_Developing and validating a machine learning model to predict multidrug-resistant Klebsiella pneumoniae-related septic shock.xlsx by Shengnan Pan (12966095)

“…Feature selection was performed using LASSO regression and the Boruta algorithm. Seven machine learning algorithms were evaluated, with logistic regression chosen for its optimal balance between performance and robustness against overfitting.…”

Table 1_Developing and validating a machine learning model to predict multidrug-resistant Klebsiella pneumoniae-related septic shock.xlsx by Shengnan Pan (12966095)

“…Feature selection was performed using LASSO regression and the Boruta algorithm. Seven machine learning algorithms were evaluated, with logistic regression chosen for its optimal balance between performance and robustness against overfitting.…”

Table 1_Quality measures of two-stage newborn hearing screening: systematic review and meta-analysis.pdf by Kirsi Manz (10454495)

“…We aimed to investigate the optimal screening algorithm, based on data from the literature published in the last 30 years. …”

Data Sheet 3_Investigating the effects of previous injury on subsequent training loads, physical fitness, and injuries in youth female basketball players.pdf by Yuanqi Huang (7301531)

“…Previous injury status was clustered using the K-means clustering algorithm to separate players into high-risk and low-risk groups. …”

Image 1_A novel framework for fire risk assessment in Kazakhstan: integrating machine learning and remote sensing.pdf by K. V. Suresh Babu (22563074)

“…The static component employs a machine learning approach, specifically the Random Forest algorithm, trained on a dataset that includes topographic variables derived from the SRTM DEM, land cover classifications from MODIS Terra/Aqua LULC products, and historical fire occurrence data from NASA FIRMS. …”

Data from: You sound like my Mr. Right: female frogs choose size-assortative mates through acoustic features by Jia-jun Hao (20582865)

“…We then recorded male advertisement calls and employed stepwise algorithm to optimize a linear model for predicting male size based on acoustic properties, identifying the properties that most effectively predict male size. …”

Data Sheet 1_Latent class analysis and machine learning for clinical subtyping prediction and differentiation in suspected neurosyphilis patients.pdf by Sirui Wu (22559208)

“…Key predictive variables were selected using LASSO regression and Boruta algorithm. Six machine learning algorithms were employed to build LCA subtype prediction models. …”

<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each... by Zihao Tang (19794537)

“…</p><p dir="ltr"><b>This paper proposes a method for identifying intersections based on OpenStreetMap data, which records networks at the lane level.…”

Table 1_Adverse events in the neonatal intensive care unit identified by triggers.pdf by Fabiana Bragança Albanese (21450395)

“…Prevention strategies based on these findings can help mitigate risks and optimize neonatal care.…”

Table 1_Near-infrared prediction of total phosphorus in leaves content in korla fragrant pear with growth period specificity via spectral modeling.docx by Mingyang Yu (7456358)

“…In the Spectral pre-processing stage, multiple scattering correction, Savitzky-Golay Smooth, First Derivative (FD), Second Derivative (SD) and their combined algorithms were comprehensively applied. The Competitive Adaptive Reweighted Sampling (CARS) algorithm was used for characteristic wavelength selection, and based on this, Growth period specificity BP neural network model and cross-growth period general prediction models were constructed respectively to evaluate the performance of different Modeling strategies. …”

Advanced Techniques for High-Performance Fock Matrix Construction on GPU Clusters by Elise Palethorpe (18126804)

“…This Article presents two optimized multi-GPU algorithms for Fock matrix construction, building on the work of Ufimtsev and Martinez [J. …”