Results 51 to 60 of about 86,909 (315)

PlantGPT: An Arabidopsis‐Based Intelligent Agent that Answers Questions about Plant Functional Genomics

open access: yesAdvanced Science, EarlyView.
PlantGPT integrates 60 000+ plant research articles with Arabidopsis phenotype‐gene data through retrieval‐augmented generation and fine‐tuning of Llama3‐8B. This open‐source, specialized AI system outperforms general large language models in plant gene‐phenotype relationships, establishing a new paradigm for functional genomics research and molecular ...
Ruixiang Zhang   +14 more
wiley   +1 more source

Mimic turbo compiled code structure for wireless communication systems

open access: yesIET Communications
Turbo codes play a crucial role in wireless communication systems, and their compiled code structures are key factors affecting the performance of the entire communication system.
Yuchen Shi   +11 more
doaj   +1 more source

Identification and Characterization of a Novel Biallelic SLC12A2 Variant Associated With Kilquist Syndrome (OMIM #619080)

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT This study presents the case of a child with multiple congenital anomalies, severe hypotonia, and profound bilateral sensorineural hearing loss. Functional bioenergetic assessments showed no significant mitochondrial respiratory defects, and riboflavin (Rf) status evaluation excluded a deficiency in Rf transporters as a cause of hearing loss ...
Piero Leone   +13 more
wiley   +1 more source

The Error-Pattern-Correcting Turbo Equalizer

open access: yes, 2010
The error-pattern correcting code (EPCC) is incorporated in the design of a turbo equalizer (TE) with aim to correct dominant error events of the inter-symbol interference (ISI) channel at the output of its matching Viterbi detector. By targeting the low
Alhussien, Hakim, Moon, Jaekyun
core   +1 more source

Punctate White Matter Abnormality in Moderate‐to‐Late Preterm Infants

open access: yesAnnals of Neurology, EarlyView.
Objective Moderate‐to‐late preterm (MLP) infants contribute to the greatest proportion of preterm children with neurodevelopmental impairments. White matter injury (WMI) is common and predicts adverse outcomes in very preterm (VP) infants. However, little is known about white matter abnormality (WMA) in MLP infants.
Eleanor Kennedy   +13 more
wiley   +1 more source

Research and implementation of Turbo decoding SOVA algorithm

open access: yesDianzi Jishu Yingyong
For the application requirements of low-orbit satellite communication, in order to reduce interference and load, convolutional codes, Turbo codes and other channel coding methods are usually used to improve the reliability of transmission.
Wang Danfei, Song Junkang, Xia Huining
doaj   +1 more source

Capacity-Approaching Non-Binary Turbo Codes: A Hybrid Design Based on EXIT Charts and Union Bounds

open access: yesIEEE Access, 2018
In this paper, we introduce a novel design approach for capacity-approaching non-binary turbo codes. There are two important factors that impact the performance of turbo codes in general: 1) the convergence behavior of iterative decoding in the low ...
Toshiki Matsumine, Hideki Ochiai
doaj   +1 more source

A Suboptimal Receiver with Turbo Block Coding for Ultra-Wideband Communications [PDF]

open access: yes, 2005
In this paper, the performance of adaptive equalization and turbo product coding is investigated for pulse-based UWB communications in short-range indoor environments.
Aquino, Sim   +2 more
core   +1 more source

Recursive quantum convolutional encoders are catastrophic: A simple proof [PDF]

open access: yes, 2013
Poulin, Tillich, and Ollivier discovered an important separation between the classical and quantum theories of convolutional coding, by proving that a quantum convolutional encoder cannot be both non-catastrophic and recursive.
Houshmand, Monireh, Wilde, Mark M.
core   +3 more sources

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Recently, plant science has seen transformative advances in scalable data collection for sequence and chemical data. These large datasets, combined with machine learning, have demonstrated that conducting plant metabolic research on large scales yields remarkable insights.
Rachel Knapp   +2 more
wiley   +1 more source

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