Results 71 to 80 of about 85,416 (307)

Learning the Grid: Transformer Architectures for Electricity Price Forecasting in the Australian National Market

Applied Sciences
The increasing adoption of highly variable renewable energy has introduced unprecedented volatility into the National Electricity Market (NEM), rendering traditional linear price forecasting models insufficient.
Mark Sinclair, Andrew J. Shepley, Farshid Hajati   +2 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Transformer-Based Deep Learning for Multiplanar Cervical Spine MRI Interpretation: Comparison with Spine Surgeons and Radiologists

AI
Background: Degenerative cervical spondylosis (DCS) is a common and potentially debilitating condition, with surgery indicated in selected patients. Deep learning models (DLMs) can improve consistency in grading DCS neural stenosis on magnetic resonance ...
Aric Lee, Junran Wu, Changshuo Liu, Andrew Makmur, Yong Han Ting, You Jun Lee, Wilson Ong, Tricia Kuah, Juncheng Huang, Shuliang Ge, Alex Quok An Teo, Joey Chan Yiing Beh, Desmond Shi Wei Lim, Xi Zhen Low, Ee Chin Teo, Qai Ven Yap, Shuxun Lin, Jonathan Jiong Hao Tan, Naresh Kumar, Beng Chin Ooi, Swee Tian Quek, James Thomas Patrick Decourcy Hallinan   +21 more
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Simulation of dielectric frequency response of transformer insulation system

, 2013
Frequency domain spectroscopy has been widely used to monitor the condition of insulation system in power transformers. For a core type of transformer, a simplified XY model of a duct has been developed which allows one to examine the contribution from ...
Yu, Guo, Chen, George
core  

LegNER: a domain-adapted transformer for legal named entity recognition and text anonymization

Frontiers in Artificial Intelligence
The increasing demand for scalable and privacy-preserving processing of legal documents has intensified the need for accurate Named Entity Recognition (NER) systems tailored to the legal domain.
Ioannis Karamitsos, Nikolaos Roufas, Khalil Al-Hussaeni, Andreas Kanavos   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Frequency Domain Modeling of High Voltage Transformers Using a Nonlinear Least-Square Estimation Technique

, 2009
The development of transformer models can be achieved based on experimental frequency response measurements providing access to the windings is available and the physical dimensions are known in order to calculate R, L and C parameter values. Of interest
Mohamed, R, Lewin, P L
core  

Investigating Bidimensional Downsampling in Vision Transformer Models

, 2022
Vision Transformers (ViT) and other Transformer-based architectures for image classification have achieved promising performances in the last two years. However, ViT-based models require large datasets, memory, and computational power to obtain state-of ...
Cornia, Marcella, Bruno, Paolo, Baraldi, Lorenzo, Amoroso, Roberto, Cascianelli, Silvia, Cucchiara, Rita   +5 more
core   +1 more source

Breast Cancer Classification Using Fine-Tuned SWIN Transformer Model on Mammographic Images

Analytics
Breast cancer is the most prevalent type of disease among women. It has become one of the foremost causes of death among women globally. Early detection plays a significant role in administering personalized treatment and improving patient outcomes ...
Oluwatosin Tanimola, Olamilekan Shobayo, Olusogo Popoola, Obinna Okoyeigbo   +3 more
doaj   +1 more source