Results 241 to 250 of about 148,871 (301)

Progressive Pattern Interleaver with Multi-Carrier Modulation Schemes and Iterative Multi-User Detection in IoT 6G Environments with Multipath Channels. [PDF]

Sensors (Basel)
Dixit S, Shukla V, Misra MK, Jimenez JM, Lloret J.   +4 more
europepmc   +1 more source

Turbo codes et principe turbo - Des origines aux applications [PDF]

, 2004
Raphaël Le Bidan
openalex  

Probe Capture Enrichment Sequencing of amoA Genes Improves the Detection of Diverse Ammonia‐Oxidising Archaeal and Bacterial Populations

Molecular Ecology Resources, Volume 25, Issue 3, April 2025.
ABSTRACT The ammonia monooxygenase subunit A (amoA) gene has been used to investigate the phylogenetic diversity, spatial distribution and activity of ammonia‐oxidising archaeal (AOA) and bacterial (AOB), which contribute significantly to the nitrogen cycle in various ecosystems. Amplicon sequencing of amoA is a widely used method; however, it produces
Satoshi Hiraoka, Minoru Ijichi, Hirohiko Takeshima, Yohei Kumagai, Ching‐Chia Yang, Yoko Makabe‐Kobayashi, Hideki Fukuda, Susumu Yoshizawa, Wataru Iwasaki, Kazuhiro Kogure, Takuhei Shiozaki   +10 more
wiley   +1 more source

Decoding of polar-coded OFDM systems over multipath fading channels with interleaving and channel state information. [PDF]

Sci Rep
Wu M, Yu Y, Wan F, Lin Y, Li Y, Zheng Z.
europepmc   +1 more source

System Performance of Concatenated STBC and Block Turbo Codes in Dispersive Fading Channels

, 2005
Yinggang Du, Kam Tai Chan
openalex   +1 more source

The Quorum Sensing Regulated sRNA Lrs1 Is Involved in the Adaptation to Low Iron in Pseudomonas aeruginosa

Environmental Microbiology Reports, Volume 17, Issue 2, April 2025.
The quorum sensing regulated sRNA Lrs1 participates in the adaptation of Pseudomonas aeruginosa in low iron by downregulating the siderophore pyochelin, the Quorum Sensing system PQS, and its associated virulence factor phenazines. ABSTRACT Iron is an essential nutrient for microbial growth. The opportunistic pathogen Pseudomonas aeruginosa can survive
Dimitra Panagiotopoulou, Natalia Romo Catalán, Max Wilcox, Nigel Halliday, Paolo Pantalone, James Lazenby, Miguel Cámara, Stephan Heeb   +7 more
wiley   +1 more source

Proposal of a new punctured turbo coding scheme for TH-UWB communications

, 2005
Francesco Chiti, Romano Fantacci, Dania Marabissi, L. Innocenti   +3 more
openalex   +2 more sources

“Dark taxonomy”: A new protocol for overcoming the taxonomic impediments for dark taxa and broadening the taxon base for biodiversity assessment

Cladistics, Volume 41, Issue 2, Page 223-238, April 2025.
Abstract We are entering the sixth mass extinction with little data for “dark taxa”, although they comprise most species. Much of the neglect is due to the fact that conventional taxonomic methods struggle with handling thousands of specimens belonging to hundreds of species. We thus here propose a new strategy that we call “dark taxonomy”.
Rudolf Meier, Amrita Srivathsan, Sarah Siqueira Oliveira, Maria Isabel P.A. Balbi, Yuchen Ang, Darren Yeo, Jostein Kjærandsen, Dalton de Souza Amorim   +7 more
wiley   +1 more source

BIG enhances Arg/N-degron pathway-mediated protein degradation to regulate Arabidopsis hypoxia responses and suberin deposition. [PDF]

Plant Cell
Zhang H, Rundle C, Winter N, Miricescu A, Mooney BC, Bachmair A, Graciet E, Theodoulou FL.   +7 more
europepmc   +1 more source

Supervised machine learning compared to large language models for identifying functional seizures from medical records

Epilepsia, Volume 66, Issue 4, Page 1155-1164, April 2025.
Abstract Objective The Functional Seizures Likelihood Score (FSLS) is a supervised machine learning–based diagnostic score that was developed to differentiate functional seizures (FS) from epileptic seizures (ES). In contrast to this targeted approach, large language models (LLMs) can identify patterns in data for which they were not specifically ...
Wesley T. Kerr, Katherine N. McFarlane, Gabriela Figueiredo Pucci, Danielle R. Carns, Alex Israel, Lianne Vighetti, Page B. Pennell, John M. Stern, Zongqi Xia, Yanshan Wang   +9 more
wiley   +1 more source