Results 161 to 170 of about 293,454 (315)
Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito +8 more
wiley +1 more source
Lexical attraction for text compression
New methods of acquiring structural information in text documents may support better compression by identifying an appropriate prediction context for each symbol.
I.H. Witten +3 more
core +1 more source
TinyML for Sustainable Edge Intelligence: Practical Optimization Under Extreme Resource Constraints
Deep learning has emerged as an effective tool for automatic waste classification, supporting cleaner cities and more sustainable recycling systems. Because environmental protection is central to the United Nations Sustainable Development Goals (SDGs ...
Mohamed Echchidmi, Anas Bouayad
doaj +1 more source
Model of the Maxwell Compressible Fluid
A model of viscoelastic barotropic Maxwell fluid is investigated. The unique solvability theorem is proved for the corresponding initial-boundary value problem. The associated spectral problem is studied. We prove statements on localization of the spectrum, on the essential and discrete spectra, and on asymptotics of the spectrum.
openaire +3 more sources
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
The use of liquid-flooding in the compression and expansion of non-condensable gas in scroll compressors and expanders enables the possibility of quasi-isothermal working processes.
King, Galen +5 more
core
Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
Neural scaling laws describe how model performance improves as a power law with size, but existing work has focused almost entirely on models above 100 M parameters.
Mohammed Alnemari +2 more
doaj +1 more source
A Survey on Model Compression for Large Language Models
Abstract Large Language Models (LLMs) have transformed natural language processing tasks successfully. Yet, their large size and high computational needs pose challenges for practical use, especially in resource-limited settings. Model compression has emerged as a key research area to address these challenges.
Xunyu Zhu +4 more
openaire +2 more sources
Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
A Computational Model for the Data
Although it is often noted that the process of data compression forms an illuminating metaphor for concept learning mechanisms, the computational basis of the metaphor is not usually made explicit.
Compression Metaphor Chris +2 more
core

