3D Deformable cell based model. حسب Roland M. Dries (6620132)

"…(<b>F</b>) Cell model algorithm, shown as pseudo code.</p>…"

Data Sheet 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

Table 3_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

Data Sheet 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

Table 5_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

Table 4_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

Table 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

Table 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"

The CeTI-Age-Kinematics dataset: A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults حسب Loreen Pogrzeba (19645765)

"…</p><p dir="ltr">The data records are structured according to the <b>Motion-BIDS</b> standard, with (i) meta-files describing the participants' characteristics such as demographic, anthropomorphic, and other data (see participant[.json|.tsv] files); (ii) metadata and additional information on the dataset (see dataset_description.json, README.md); (iii) TSV and BVH data that contain the kinematic motion data for each movement task, along with metadata on the task descriptions and instructions, (iv) source code to process and visualize the data, (v) materials that document the acquisition process such as recording protocols and exemplary videos of the motion executions.…"

CIAHS-Data.xls حسب Yingchang Li (22195585)

"…For this purpose, we employed the Natural Breaks classification method to reclassify factor values. This method identifies inherent natural grouping points within the data through the Jenks optimization algorithm, maximizing between-class differences while minimizing within-class differences37. …"

Data Sheet 1_Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destinat... حسب Mikko Strahlendorff (20458865)

"…The authors wish to acknowledge CSC – IT Center for Science, Finland, for computational resources. The code for the machine learning work and the predictions are available as open source at https://github.com/fmidev/ml-harvesterseasons (see README-SWI2). …"

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> حسب Li Yang (13558573)

"…Comparison of priority areas identified under different prioritization settings and algorithms at source resolutions of 1 km and 10 km, assessed using Jaccard similarity.…"

Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice حسب Yiyong Zhao (21466062)

"…This table delineates the results of gene expression clustering using the MFUZZ algorithm for three super-hybrid rice varieties, namely LYP9, Y900, and XLY900, along with their progenitor strains. …"

<b>SAFE: </b><b>s</b><b>ensitive </b><b>a</b><b>nnotation </b><b>f</b><b>inding and </b><b>e</b><b>xtraction from multi-type Chinese maps via hybrid intelligence and knowledge grap... حسب jiaxin ren (20482655)

"…<p dir="ltr">Sensitive annotations typically contain key geographic elements or sensitive information vital for geographic information security. …"

A Dataset on the Biodiversity Footprints and Sectoral Differences in China حسب haiyue wang (20803663)

"…It comprises the following components: (1) China’s raw species spatial data, sourced from the IUCN and BirdLife International, with 446 threatened and near-threatened species attributes provided in a CSV file. (2) Biodiversity footprint data of China's 19 economic sectors across 30 provinces (2017), with two versions: Version 1: 352 species (excluding NT species) Version 2: 446 species (including NT species) Stored as “2017 China Provincial Biodiversity Footprint Data” in Shapefile format. (3) Biodiversity footprint data by taxonomic group (Mammal, Amphibian, Reptile, and Bird) across 30 provinces (2017), with two versions as above, stored as “2017 China Taxonomic Biodiversity Footprint Data” in Shapefile format. (4) A procedural demonstration of matrix operations with detailed algorithmic steps for specific species, stored as “An example detailing the computational steps for specific species” in PDF format. (5) Code.…"

A Dataset on the Biodiversity Footprints and Sectoral Differences in China حسب Haiyue Wang (20698763)

"…</p><p dir="ltr">(5) code.</p>…"

Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... حسب Jian Yang (12136)

"…As the pharmaceutical landscape grows more complex, integrating AI into pharmacovigilance offers the potential to enhance adverse drug reaction (ADR) detection and monitoring.</p>Methods<p>A nationwide cross-sectional survey was conducted from June 25 to August 10, 2024, involving 1,000 participants from pharmacovigilance centers, hospitals, corporations, and the general public. …"

Raw Data for "Development of Decision Support Systems Based on Fuzzy and Binary Logic for the FOREX Foreign Exchange Market" حسب Serhii Hetsko (22413559)

"…This would also allow a reasonable approach to the choice of a specific method.</p><p dir="ltr"><b>Research objective.</b>The aim of this work is to develop multi-timeframe hybrid DSS for algorithmic trading based on fuzzy and classical binary logic with probabilistic elements. …"

STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery حسب Nicla Notarangelo (20684425)

"…Future research could focus on expanding and refining different approaches and data sources for broader applications. The reference data and code are openly available in the Zenodo repository <a href="https://doi.org/10.5281/zenodo.12748983" target="_blank">https://doi.org/10.5281/zenodo.12748983</a> and GitHub repository <a href="https://github.com/STURM-WEO/STURM-Flood" target="_blank">https://github.com/STURM-WEO/STURM-Flood</a>.…"

CDK6 271123 6Plex TMT.csv حسب Kathryn Fleming (21585680)

"…</p><p dir="ltr">The raw data files were processed and quantified using Proteome Discoverer software v2.4 (Thermo Scientific) and searched against the UniProt Mouse database (downloaded July 2021: 35859 entries) using the SEQUEST HT algorithm. Peptide precursor mass tolerance was set at 10ppm, and MS/MS tolerance was set at 0.6Da. …"