A model for music emotion recognition and aesthetic education effect evaluation based on deep learning and multimodal data

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Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

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Modeling the lung‒brain axis in critical illness: Multifactorial crosstalk through organoids and organ‐on‐a‐chip system

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Impact of renewable energy on Stackelberg gamming approach for manufacturer and retailer for a multistage sustainable production inventory model

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Modeling current and future distributions of key fodder grasses under climate change in Senegal using Biomod2

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Climate‐Driven Habitat Suitability Modeling for the Vulnerable Species Euryops pinifolius A. Rich in Ethiopia: Implications for Conservation

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Scientometric Trends in Harmful Algal Bloom Prediction: Integrating Optical Remote Sensing and Mathematical Models (2000-2024)

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Scientometric Trends in Harmful Algal Bloom Prediction: Integrating Optical Remote Sensing and Mathematical Models (2000-2024)

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Fermented beverage of ameliorates renovascular hypertension by the inhibition of ACE activity in 2K1C rat model

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Cell type annotation for scATAC-seq via DNA large language model and graph domain adaptation

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Presenting a pragmatic model for evaluating the economic performance of hospitals in Iran based on multi-criteria decision-making

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Correction: Quantify unmet medical need across the disease landscape – A large language model-based methodology

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The benefits of investments to combat HIV, tuberculosis, and malaria for primary healthcare from 2000 to 2023: An economic modeling analysis

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Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift

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Fuzzy Fingerprinting Encoder Pre-trained Language Models for Emotion Recognition in Conversations: Human Assessment and Validity Study

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OPENJ: A Conceptual Framework for Open-Source Digital Human Modeling and Ergonomic Assessment in a CAD Environment

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CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training

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GDPKG-LLM: Integrating Gene, Disease, and Pharmacogenomics Knowledge Graphs for Cognitive Neuroscience Using Large Language Models

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A Scalable Recipe on SuperMUC-NG Phase 2: Efficient Large-Scale Training of Language Models

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Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment

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