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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
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1201
Table 1_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance...
Published 2025“…By applying machine learning algorithms, we identified coagulation-related genes in ESCC and developed a predictive model with clinical relevance. …”
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1202
Data Sheet 1_PLK2 as a key regulator of glycolysis and immune dysregulation in polycystic ovary syndrome.docx
Published 2025“…Immune infiltration was assessed using CIBERSORT, ESTIMATE, and ssGSEA algorithms. Functional enrichment analysis (GO, KEGG, and Hallmark) was performed to annotate PLK2-related pathways. …”
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1203
Data used to drive the Double Layer Carbon Model in the Qinling Mountains.
Published 2024“…</p><p dir="ltr">SOC20 and SOC20-100 maps in the Qinling Mountains with a spatial resolution of 1 km × 1 km during the 1980s were extracted from our previous SOC datasets, which were generated by a machine learning algorithm (Li et al., 2022b). The spatial patterns of the two SOC maps are shown in Fig. 1b. …”
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1204
Raw LC-MS/MS and RNA-Seq Mitochondria data
Published 2025“…<p dir="ltr"><b>LC-MS/MS raw data</b></p><p dir="ltr">Spectrum matching and protein identification and validation were performed with MSFragger, and quantification of protein intensities with matching between runs was performed with IonQuant as components of the FragPipe analysis pipeline using the default settings of each module. …”
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1205
IUTF Dataset(Enhanced): Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems
Published 2025“…</p><h2>Data Structure</h2><p dir="ltr">The dataset is organized into four primary components:</p><ol><li><b>Road Network Data</b>: Topological representations including spatial geometry, functional classification, and connectivity information</li><li><b>Traffic Sensor Data</b>: Sensor metadata, locations, and measurements at both 5-minute and hourly resolutions</li><li><b>Precipitation Data</b>: Hourly meteorological information with spatial grid cell metadata</li><li><b>Derived Analytical Matrices</b>: Pre-computed structures for advanced spatial-temporal modelling and network analyses</li></ol><h2>File Formats</h2><ul><li><b>Tabular Data</b>: Apache Parquet format for optimal compression and fast query performance</li><li><b>Numerical Matrices</b>: NumPy NPZ format for efficient scientific computing</li><li><b>Total Size</b>: Approximately 2 GB uncompressed</li></ul><h2>Applications</h2><p dir="ltr">The IUTF dataset enables diverse analytical applications including:</p><ul><li><b>Traffic Flow Prediction</b>: Developing weather-aware traffic forecasting models</li><li><b>Infrastructure Planning</b>: Identifying vulnerable network components and prioritizing investments</li><li><b>Resilience Assessment</b>: Quantifying system recovery curves, robustness metrics, and adaptive capacity</li><li><b>Climate Adaptation</b>: Supporting evidence-based transportation planning under changing precipitation patterns</li><li><b>Emergency Management</b>: Improving response strategies for weather-related traffic disruptions</li></ul><h2>Methodology</h2><p dir="ltr">The dataset creation involved three main stages:</p><ol><li><b>Data Collection</b>: Sourcing traffic data from UTD19, road networks from OpenStreetMap, and precipitation data from ERA5 reanalysis</li><li><b>Spatio-Temporal Harmonization</b>: Comprehensive integration using novel algorithms for spatial alignment and temporal synchronization</li><li><b>Quality Assurance</b>: Rigorous validation and technical verification across all cities and data components</li></ol><h2>Code Availability</h2><p dir="ltr">Processing code is available at: https://github.com/viviRG2024/IUTDF_processing</p>…”
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1206
BioSCape Processed Training Dataset
Published 2024“…The dataset includes training data points of invasive alien trees and other classes for the three study sites in Cape Floristic Region (<b>Figure </b><b>1</b>). The dataset was prepared according to the following pre-agreed criteria:</p><ul><li>As many points as possible were collected</li><li>The classes needed to be even (same number of training points) for the machine learning algorithms</li><li>Points didn’t need to be paired (i.e. paired invasive alien tree and fynbos points)</li><li>It was not necessary to collect training data in all sampling units, though a general effort to avoid bias and to sample across different sampling units was attempted</li></ul><p></p>…”
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1207
Cringe - Emotional manipulation as a tool of political control in Albanian digital campaigns (2025)
Published 2025“…Through mixed-methods analysis of 3,247 social media posts, 1,856 videos, and 2,156 memes, this study documents a radical transformation in political discourse where traditional policy-based communication (27%) was overwhelmed by cringe-based content (73%).</p><p dir="ltr"><b>Key findings include:</b></p><ul><li>Perfect correlation (r = 1.000) between cringe intensity and electoral success</li><li>Identification of six strategic cringe tactics used by politicians</li><li>Discovery of 58 anonymous pages using artificial amplification (ratios up to 396:1)</li><li>Evidence of cringe functioning as affective governance and social control</li></ul><p dir="ltr"><b>Dataset contents:</b></p><ul><li>Full research paper (English & Albanian versions)</li><li>Interactive data visualizations and statistical analysis</li><li>Comprehensive emotions lexicon for cringe phenomenon</li><li>Detailed supplementary materials with coded examples</li><li>Methodology documentation and ethics compliance records</li></ul><p dir="ltr"><b>Methodology:</b> Mixed-methods approach combining computational analysis with qualitative discourse analysis. …”
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1208
AP-2α 相关研究
Published 2025“…**P < 0.01 (Student’s t-test).</p><p dir="ltr"><b>Figure 4 | Comparative transcriptomic analysis of the functional regulation of </b><b><i>VdAP-2α</i></b><b> in </b><b><i>Verticillium dahliae.…”
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1209
Providing the CR.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1210
Uploading the EHR.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1211
Contract transaction details.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1212
Proposed system.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1213
Block data structure.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1214
Block components.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1215
Hospital (A) requests a medical consultation.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1216
Updating the home page for all peers.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1217
Hospital (A) checks all its sent messages.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1218
Hospital (A) authorized to access the CR.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1219
Hospital (A) requests a consultation.
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”
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1220
Hospital (A) sends the CR to Hospital (C).
Published 2024“…This work details the B-UMCS’s components, interactions, smart contracts, protocols, algorithms, storage and transmission of EHRs, and their corresponding implementations. …”