Results 41 to 50 of about 3,080,122 (269)
Convolutional Sequence to Sequence Learning
CoRR, 2017 The prevalent approach to sequence to sequence learning maps an input sequence to a variable length output sequence via recurrent neural networks. We introduce an architecture based entirely on convolutional neural networks. Compared to recurrent models, computations over all elements can be fully parallelized during training and optimization is easier
Jonas Gehring +4 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source
Analysis of Finite Solution Spaces of Second-Order ODE with Dirac Delta Periodic Forcing
Axioms, 2023 Second-order Ordinary Differential Equations (ODEs) with discontinuous forcing have numerous applications in engineering and computational sciences.
Susmit Bagchi
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
Molecular Characterization of the 2020 Outbreak of Lumpy Skin Disease in Nepal
Microorganisms, 2022 Lumpy skin disease (LSD) is a transboundary viral disease of cattle and buffaloes transmitted by blood-feeding vectors and causes high morbidity and low-to-moderate mortality.
Pragya Koirala +7 more
doaj +1 more source
Sparse Sequence-to-Sequence Models [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Sequence-to-sequence models are a powerful workhorse of NLP. Most variants employ a softmax transformation in both their attention mechanism and output layer, leading to dense alignments and strictly positive output probabilities. This density is wasteful, making models less interpretable and assigning probability mass to many implausible outputs.
Ben Peters +2 more
openaire +2 more sources
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
High-quality metagenome assembly from nanopore reads with nanoMDBG
Nature CommunicationsThird-generation long-read sequencing technologies, significantly improve metagenome assemblies. Highly accurate PacBio HiFi reads can yield hundreds of near-complete metagenome-assembled genomes (MAGs) from a single sample. Recently, the accuracy of the
Gaëtan Benoit +6 more
doaj +1 more source
Clinical Epidemiology and Global HealthBackground: Tuberculosis (TB) is one of the leading causes of death worldwide. However, an accurate diagnosis contributes to timely treatment, reducing its adverse consequences.
Miguel Hueda-Zavaleta +9 more
doaj +1 more source
Frontiers in Bioengineering and Biotechnology, 2022 Identification of protein–ligand binding sites plays a critical role in drug discovery. However, there is still a lack of targeted drug prediction for DNA-binding proteins. This study aims at the binding sites of DNA-binding proteins and drugs, by mining
Wei Wang +7 more
doaj +1 more source