Results 61 to 70 of about 85,416 (307)
Frequency Dependent Model of Leakage Inductance for Magnetic Components [PDF]
, 2012 Theoretical methods for the calculation of winding losses with respect to frequency have been well documented, but the variation in leakage inductance of magnetic components due to frequency has been less well addressed. In this paper Dowell’s well-known
Wilcock, Reuben +5 more
core +1 more source
IEEE AccessThis research addresses the significant challenges of sentiment analysis in low-resource African languages by utilizing advanced transformer-based models to bridge gaps in natural language processing (NLP) for underrepresented linguistic communities ...
Nilanjana Raychawdhary +3 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Máquina assíncrona trifásica de rotor bobinado duplamente alimentada por meio de transformador rotativo [PDF]
, 2011 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2011A máquina assíncrona trifásica é um equipamento extremamente difundido no universo das máquinas ...
Ruviaro, Maurício
core
WL-GraphTrax: A Graph-Transformer Framework for EEG-Based Cognitive Workload Classification
IEEE AccessAccurately measuring cognitive workload is critical in the development of adaptive human-machine systems, particularly in high-stakes environments such as driving.
Vishal Pandey +3 more
doaj +1 more source
Graphical Transformation Models
CoRR36 pages, 10 Figures, presented at the DAGStat 2025 in Berlin initially submitted to the Journal of Computational and Graphical ...
Matthias Herp +3 more
openaire +2 more sources
Language Models with Transformers
CoRR, 2019 The Transformer architecture is superior to RNN-based models in computational efficiency. Recently, GPT and BERT demonstrate the efficacy of Transformer models on various NLP tasks using pre-trained language models on large-scale corpora. Surprisingly, these Transformer architectures are suboptimal for language model itself.
Chenguang Wang 0001 +2 more
openaire +2 more sources
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
BERT-OTA: Enhancing Hate Speech Detection With Ontology-Guided Transformer Attention
IEEE AccessThe proliferation of hate speech on social media platforms presents a significant challenge for content moderation, requiring sophisticated detection methods that can understand both explicit and implicit forms of harmful content.
Mahmoud Abusaqer +2 more
doaj +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source