Results 101 to 110 of about 66,291 (256)
APPROXIMATION BY MULTIVARIATE NEURAL NETWORK OPERATORS IN MIXED NORM SPACES: THEORY AND APPLICATION
On the one hand, the framework of mixed norm spaces has potential applications in different areas of mathematics. On the other hand, neural network (NN) operators are well established as approximators, attracting significant attention in the fields of approximation theory and signal analysis. In this article, we aim to integrate both these concepts.
Majethiya, Priyanka, Bajpeyi, Shivam
openaire +2 more sources
Objective Heightened sensitivity to noxious stimulation is a hallmark of chronic pain. Emerging evidence suggests heightened unpleasantness to non‐noxious (eg, auditory) aversive stimulation also characterizes chronic pain, but its magnitude, neural mechanisms, and treatment modifiability remain unknown.
Alina E. C. Panzel +4 more
wiley +1 more source
Objective SOD1 is the second most frequently mutated gene in European patients with amyotrophic lateral sclerosis (ALS). Given the recent authorization of SOD1‐targeted antisense oligonucleotides for SOD1‐ALS, prompt screening for SOD1 mutations in patients with ALS patients is highly recommended.
Delia Gagliardi +9 more
wiley +1 more source
Objective Our goal was to examine whether pre‐diagnostic plasma carotenoids and tocopherols are associated with amyotrophic lateral sclerosis (ALS). Methods A nested case–control study within 4 United States cohorts, where 154 participants with pre‐diagnostic blood‐draw, were diagnosed during follow‐up with amyotrophic lateral sclerosis (ALS). Controls
Éilis J. O'Reilly +7 more
wiley +1 more source
ABSTRACT Healthy lifestyle behaviors, including physical activity, screen time, sleep, and diet quality, are important determinants of mental health, yet little is known about how these behaviors cluster among children with neurodevelopmental disorders.
Matthew Bourke +4 more
wiley +1 more source
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
The power of many: when genetics met yeasts and high‐throughput
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Towards a Developmental Retribution and Reciprocity Model (RRM): Implications for Youth Justice
ABSTRACT Youth justice systems are frequently justified by reference to developmental change, yet chronological age is often treated as a proxy for underlying psychological processes. This paper develops a Developmental Retribution and Reciprocity Model (RRM), integrating evolutionary criminology with contemporary developmental neuroscience to clarify ...
Evelyn Svingen
wiley +1 more source
The application of the transfer learning algorithm successfully allowed the use of a model built on process A for real‐time monitoring of process B. This study shows the improvement obtained with this methodology compared to the direct application of the model.
Adèle Schini +7 more
wiley +1 more source

