Results 41 to 50 of about 17,219 (249)

Research and implementation of Turbo decoding SOVA algorithm

Dianzi 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

Nucleoside‐Modified mRNA Encoding Alpha‐Galactosidase A Ameliorates Fabry Disease Phenotypes in Human IPSC‐Derived Cardiomyocytes

Advanced Science, EarlyView.
Human iPSC‐derived Fabry cardiomyocytes exhibited broad transcriptional dysregulation, apoptosis, mitochondrial dysfunction, impaired reactive oxygen species handling, altered contractility, and abnormal calcium transient decay, potentially mediated by phospholamban hyperphosphorylation.
Malte Juchem, Lea Oehlsen, Sedef Ersoy, Jia Li Ye, Natalie Weber, Elisa Mohr, Wilson Agyapong, Junqing Liu, Maximilian Fuchs, Ke Xiao, Christopher Jahn, Reto Eggenschwiler, Tobias Cantz, Julia Beimdiek, Falk F. R. Buettner, Theresia Kraft, Jan Hegermann, Ivonne J. Knorr, Lisa Ernst, Linda Feldbrügge, Resa Puffert, Kevin Schmidt, Christian Bär, Jeannine Hoepfner, Thomas Thum   +24 more
wiley   +1 more source

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

IEEE 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

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

Advanced 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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Monoallelic POLR3A Variants Cause Early‐Onset Peripheral Neuropathy

Annals of Neurology, EarlyView.
Objective Biallelic variants in genes encoding the RNA polymerase III complex (Pol III) cause a spectrum of neurological disorders primarily affecting the central nervous system. Monoallelic variants have been reported in the POLR3B subunit only, associated with neurodevelopmental disorder, epilepsy, and peripheral neuropathy.
Luiza L. P. Ramos, Jevin M. Parmar, Robin Wijngaard, Bianca R. Grosz, Tamas Lazar, Ligia Mateiu, Steve Vucic, Kishore R. Kumar, Dennis Yeow, Laura I. Rudaks, Lonneke de Boer, Annemarie de Vreugd, David A. Koolen, Thatjana Gardeitchik, Anita Cairns, Krishnan Iyengar, Fernando Kok, Fernanda Barbosa Figueiredo, Alzira Alves de Siqueira Carvalho, Luiz S. Mageste Barbosa, Rodrigo Rezende Arantes, Tyler Rehbein, Jordan E. Bontrager, Elizabeth P. Wood, Janet E. Sowden, Gavin Monahan, Meutia Kumaheri, Ivy Cuijt, Melina Ellis, Gonzalo Perez‐Siles, Elyshia McNamara, Ronald van Beek, Celine B. Meijers, Ivaylo Tournev, Stephan Zuchner, Shoshana J. Wodak, Clara D. M. van Karnebeek, Nigel Laing, Liana N. Semcesen, David A. Stroud, David N. Herrmann, Velina Guergueltcheva, Marina L. Kennerson, Machteld M. Oud, Gianina Ravenscroft, Ayse Candayan, Albena Jordanova   +46 more
wiley   +1 more source

Threshold Based Iteration Stopping Criterion for Turbo Codes and for Scheme Combining a Turbo Code and a Golden Space-Time Block Code

Advances in Electrical and Computer Engineering, 2014
This paper proposes an iteration stopping criterion for turbo decoding with Benedetto's decoding algorithm based on a posteriori probabilities. This stopping criterion is used in two schemes.
SAVIN, A., TRIFINA, L., ANDREI, M.
doaj   +1 more source

The sRNA vvrr1 Modulates the VarS/VarA‐Csr System via LeuO to Regulate Biofilm Formation and Virulence in Vibrio alginolyticus

Animal Research and One Health, EarlyView.
vvrr1, a small RNA, post‐transcriptionally represses the transcriptional regulator LeuO, which directly inhibits the VarS/VarA two‐component system. This triggers a Csr cascade that relieves LuxO repression, ultimately modulating exopolysaccharide production to control biofilm formation and virulence in Vibrio alginolyticus.
Theerakamol Pengsakul, Lei Wen, Lingmin Zhao, Bei Huang, Jiang Zheng, Binfu Xu, Lixing Huang   +6 more
wiley   +1 more source

PERFECTA Loaded Lipid Cubosomes for 19F‐MRI: Physico‐Chemical Characterization

Chemistry – A European Journal, EarlyView.
Phytantriol‐based cubosomes loaded with PERFCTA, a fluorinated MRI probe, were developed as promising systems for imaging and drug delivery. The nanoparticles showed high PERFECTA encapsulation efficiency, strong fluorine MRI signals, and optimal colloidal stability in biological media.
Pietro Milesi, Beatrice Lucia Bona, Cristina Chirizzi, Marco Campanile, Pompea Del Vecchio, Marc Schmutz, Valerie Sartor, Debora Berti, Pierangelo Metrangolo, Francesca Baldelli Bombelli, Barbara Lonetti   +10 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source