Results 51 to 60 of about 1,496,086 (365)

The Structure of Working Memory and Its Relationship with Intelligence in Japanese Children

open access: yesJournal of Intelligence, 2023
There is a host of research on the structure of working memory (WM) and its relationship with intelligence in adults, but only a few studies have involved children.
Yoshifumi Ikeda   +8 more
doaj   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2016
Bidirectional long short-term memory (bi-LSTM) networks have recently proven successful for various NLP sequence modeling tasks, but little is known about their reliance to input representations, target languages, data set size, and label noise.
Barbara Plank   +2 more
semanticscholar   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems (Extended Version) [PDF]

open access: yesarXiv, 2020
Log-Structured Merge-trees (LSM-trees) have been widely used in modern NoSQL systems. Due to their out-of-place update design, LSM-trees have introduced memory walls among the memory components of multiple LSM-trees and between the write memory and the buffer cache.
arxiv  

Long short-term memory networks in memristor crossbar arrays [PDF]

open access: yesNature Machine Intelligence, 2018
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units have led to major advances in artificial intelligence.
Can Li   +17 more
semanticscholar   +1 more source

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques

open access: yesJournal of Intelligent Systems, 2020
Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in gearbox system.
Mallikarjuna P B   +3 more
doaj   +1 more source

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

Multiple decomposition‐aided long short‐term memory network for enhanced short‐term wind power forecasting

open access: yesIET Renewable Power Generation
With the increasing penetration of grid‐scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization ...
Mehmet Balci   +3 more
doaj   +1 more source

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