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47801
Treatment for Open Limb Compression Injury: Clinical and Experimental Study
Published 2008-04-01Get full text
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47802
Probabilistic Solar Proxy Forecasting With Neural Network Ensembles
Published 2023-09-01Get full text
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47803
Reservoir-based flood forecasting and warning: deep learning versus machine learning
Published 2024-10-01Get full text
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47804
Relationship between optical properties and internal quality of Orah Mandarins during storage
Published 2025-04-01Get full text
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47805
Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method
Published 2025-02-01Get full text
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47806
Role of artificial intelligence in earlier diagnosis of bronchopulmonary dysplasia
Published 2025-04-01Get full text
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47807
Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study
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47808
Explainable and Uncertainty Aware AI-Based Ransomware Detection
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47809
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47810
Chromosome Instability and Micronucleus Frequency on the Oral Mucosa of HIV-positive Patients
Published 2025-05-01Get full text
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47811
Testing the Flux Rope Paradigm for Coronal Mass Ejections Using a Three-spacecraft Encounter Event
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47812
Study on Tourism Development Using CRITIC Method for Tourist Satisfaction
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47813
Zero-Shot Automated Detection of Fake News: An Innovative Approach (ZS-FND)
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47814
Hyperspectral Image Joint Super-Resolution via Local Implicit Spatial-Spectral Function Learning
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47815
UAV-Based Intelligent Sensing Over CF-mMIMO Communications: System Design and Experimental Results
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47816
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47817
A draft genome assembly for the dart-poison frog Phyllobates terribilis
Published 2025-06-01Get full text
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47818
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47819
Hot Spot Offset Variability from Magnetohydrodynamical Thermoresistive Instability in Hot Jupiters
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47820
A novel decoding strategy for ProteinMPNN to design with less visibility to cytotoxic T-lymphocytes
Published 2025-01-01“…In this study, we introduce CAPE-Beam, a novel decoding strategy for the established ProteinMPNN protein design model. Our approach minimizes CTL immunogenicity risk by limiting designs to only consist of kmers that are either predicted not to be presented to CTLs or are subject to central tolerance that prevents CTLs from attacking self-peptides. …”
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