Results 51 to 60 of about 2,867,003 (376)

Short‐term wind power prediction based on combined long short‐term memory

open access: yesIET Generation, Transmission & Distribution
Wind power is an exceptionally clean source of energy; its rational utilization can fundamentally alleviate the energy, environment, and development problems, especially under the goals of ‘carbon peak’ and ‘carbon neutrality’. A combined short‐term wind
Yuyang Zhao   +4 more
doaj   +1 more source

The Role of Short-term Consolidation in Memory Persistence

open access: yesAIMS Neuroscience, 2015
Short-term memory, often described as working memory, is one of the most fundamental information processing systems of the human brain. Short-term memory function is necessary for language, spatial navigation, problem solving, and many other daily ...
Timothy J. Ricker
doaj   +1 more source

Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms

open access: yesSustainability, 2020
Short-Term Load Forecasting (STLF) is the most appropriate type of forecasting for both electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed via the hybrid applications of machine learning.
Arash Moradzadeh   +4 more
semanticscholar   +1 more source

FoxO1 signaling in B cell malignancies and its therapeutic targeting

open access: yesFEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac   +3 more
wiley   +1 more source

What makes an excellent reader? Short-term memory contrasts between two groups of children

open access: yesFrontiers in Education
PurposeResearch on the association of short-term memory (STM) and reading expertise are dominated by studies with typically developing children and children with reading impairment.
Ferenc Kemény   +8 more
doaj   +1 more source

The immunological interface: dendritic cells as key regulators in metabolic dysfunction‐associated steatotic liver disease

open access: yesFEBS Letters, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi   +3 more
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

Hemispheric specialization in selective attention and short-term memory: a fine-coarse model of left- and right-ear disadvantages. [PDF]

open access: yes, 2013
Serial short-term memory is impaired by irrelevant sound, particularly when the sound changes acoustically. This acoustic effect is larger when the sound is presented to the left compared to the right ear (a left-ear disadvantage).
John E. Marsh   +4 more
core   +2 more sources

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

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

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