Results 51 to 60 of about 49,185 (256)
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
A keywords extraction algorithm optimized by integrating co-word analysis
The paper proposed a keywords extraction optimization algorithm based on co-word analysis, named CATKE, to address the problems of the single dimension of word importance evaluation and relatively low precision of extracting keywords in the classic TF ...
Ran Huang
doaj +1 more source
The subjects of literature are the direct expression of the author’s research results. Mining valuable knowledge helps to save time for the readers to understand the content and direction of the literature quickly.
Taoying Li +4 more
doaj +1 more source
Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez +5 more
wiley +1 more source
The role of word-word co-occurrence in word learning.
A growing body of research on early word learning suggeststhat learners gather word-object co-occurrence statistics acrosslearning situations. Here we test a new mechanism wherebylearners are also sensitive to word-word co-occurrence statis-tics. Indeed, we find that participants can infer the likely ref-erent of a novel word based on its co-occurrence
Abdellah Fourtassi, Emmanuel Dupoux
openaire +2 more sources
Effects of High-Order Co-occurrences on Word Semantic Similarity [PDF]
Nous présentons un modèle informatique de la construction de la signification des mots par l'exposition aux textes, dans le but de simuler, paragraphe après paragraphe, les effets des valeurs de cooccurrence sur les similarités sémantiques intermots. La similarité est ici considérée comme une association sémantique.
Lemaire, Benoît, Denhière, Guy
openaire +3 more sources
Objectives This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced >1 flare during a 6‐month prospective observational study were included ...
Sarah Stewart +12 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Word embedding has become ubiquitous and is widely used in various natural language processing (NLP) tasks, such as web retrieval, web semantic analysis, and machine translation, and so on. Unfortunately, training the word embedding in a relatively large corpus is prohibitively expensive.
Wenting Li +6 more
openaire +2 more sources

