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A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms
Published 2025-01-01Subjects: Get full text
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Development of Safe and Non-Self-Immunogenic Mucosal Adjuvant by Recombinant Fusion of Cholera Toxin A1 Subunit with Protein Transduction Domain
Published 2018-01-01“…Here, we demonstrate a new approach to generate a mucosal adjuvant by replacing the B subunit of CT with HIV-1 Tat protein transduction domain (PTD), which efficiently delivers fusion proteins into the cell cytoplasm by unspecific binding to cell surface. …”
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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks
Published 2025-01-01Subjects: Get full text
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1224
Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data
Published 2025-01-01Subjects: Get full text
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1225
A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning
Published 2024-01-01“…For Multilingual Sentiment Analysis (MSA) in product reviews, this research proposed a Semantic-Context Embedding Enhanced Attention Fusion BiLSTM (SCEEAF-BiLSTM). The proposed model combines Continuous Bag-of-Word (CBoW) and Skipgram techniques to extract semantic context after the preprocessing stages of tokenization, stop word removal, and case normalization. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging
Published 2025-01-01“…The objective of this investigation is to enhance the validation and optimization of accuracy and efficiency in KOA assessment by utilizing fusion deep learning techniques.MethodsThis study aims to develop a highly accurate and lightweight model for automatically predicting and classifying KOA through knee X-ray imaging. …”
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1227
NeuTox 2.0: A hybrid deep learning architecture for screening potential neurotoxicity of chemicals based on multimodal feature fusion
Published 2025-01-01“…The current study developed a hybrid deep learning architecture, NeuTox 2.0, through multimodal feature fusion for enhanced prediction accuracy and generalization ability. …”
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DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction
Published 2025-01-01Subjects: Get full text
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1233
Coactivation of Tie2 and Wnt signaling using an antibody–R-spondin fusion potentiates therapeutic angiogenesis and vessel stabilization in hindlimb ischemia
Published 2024-12-01“…In this study, we developed a bifunctional antibody fusion, consisting of a Tie2-agonistic antibody and the Furin domains of R-spondin 3 (RSPO3), to simultaneously activate Tie2 and Wnt/β-catenin signaling. …”
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Comparison of Polyetheretherketone (PEEK) Cage versus Iliac Bone Graft undergoing Anterior Cervical Discectomy and Fusion (ACDF): A multicenter experience
Published 2023-04-01“… Background: In anterior cervical discectomy and fusion (ACDF), the two most frequently used materials are allografts and polyetheretherketone (PEEK) cages. …”
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Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach
Published 2025-01-01“…A comprehensive mask fusion approach was developed to select relevant image crops of diseased tissue. …”
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Characterizing PM2.5 Secondary Aerosols via a Fusion Strategy of Two-stage Positive Matrix Factorization and Robust Regression
Published 2023-10-01“…The developed fusion strategy of two-stage PMF and robust regression provided refined results and can aid in the management of PM2.5.…”
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High-temperature oxidation behavior of carbon doped CoCrNi medium entropy alloy fabricated by laser powder bed fusion
Published 2025-01-01“…These alloys were designed via laser powder bed fusion (L-PBF) to enhance mechanical properties by controlling in-situ nano precipitates. …”
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Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ?
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