Results 31 to 40 of about 805 (178)

Repeated Disuse Atrophy Imprints a Molecular Memory in Skeletal Muscle: Transcriptional Resilience in Young Adults and Susceptibility in Aged Muscle

open access: yesAdvanced Science, EarlyView.
Repeated disuse imprints a molecular memory in skeletal muscle, conferring transcriptional resilience in young adults but exaggerated susceptibility in aged muscle, driven by epigenetic regulation of aerobic metabolism, mitochondrial and NAD+ pathways.
Daniel C. Turner   +14 more
wiley   +1 more source

A state metrics compressed decoding technique for energy-efficient turbo decoder

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
In the energy resource-constrained wireless applications, turbo codes are frequently employed to guarantee reliable data communication. To both reduce the power dissipation of the turbo decoder and the probability of data frame retransmission in the ...
Ming Zhan   +3 more
doaj   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

A Perspective of Multi‐Reflecting TOF MS

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov   +3 more
wiley   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul   +8 more
wiley   +1 more source

Using large language models to automate herbarium specimen transcription: A case study at the Missouri Botanical Garden

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin   +4 more
wiley   +1 more source

Analysis of iteration control for turbo decoders in turbo synchronization applications [PDF]

open access: yesAdvances in Radio Science, 2009
Wireless data transmission results in frequency and phase offsets of the signal in the receiver. In addition, the received symbols are corrupted by noise.
T. Lehnigk-Emden   +3 more
doaj  

Evaluation of Low Density Parity Check Codes Over Various Channel Types [PDF]

open access: yesEngineering and Technology Journal, 2011
Low density parity check (LDPC) codes are one of the best error correcting codes in today’s coding world and are known to approach the Shannon limit. As with all other channel coding schemes, LDPC codes add redundancy to the uncoded input data to make it
Mahmood Farhan Mosleh
doaj   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li   +5 more
wiley   +1 more source

Comparison between Modified Bahl, Cocke, Jelinek, and Raviv (BCJR) and Soft Output Viterbi Algorithm (SOVA) Decoders Over Additive White Gaussian Noise (AWGN) Channel

open access: yesJournal of Engineering and Sustainable Development, 2007
urbo codes are suitable for deep-space communications, because of the codes astonishing performance at low values of signal to noise ratio (SNR) and their ability to achieve near Shannon limit of channel capacity.
Maha George Zia   +1 more
doaj  

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