Results 71 to 80 of about 22,376 (246)
A COMBINED ENCRYPTION AND ERROR CORRECTION SCHEME:AES-TURBO
In this paper, we introduced a new type of Encryption and Error Correction scheme, which is called “A Combined Encryption and Turbo Coding Scheme: AES-TURBO”.
Hakan CAM, Volkan OZDURAN, Osman N. UCAN
doaj +2 more sources
Coded modulation scheme employing turbo codes
The authors present a turbo coding scheme for bandwidth-efficient modulation that outperforms turbo coding with Gray mapping by employing Ungerboeck codes as component codes. The scheme can be decoded iteratively and achieves very good bit error rates at low signal to noise ratios after a small number of iterations. 8PSK is used as an example, although
Robertson, P., Wörz, T.
openaire +3 more sources
Muscle fatigue in patients with severe long COVID: A 2‐year follow‐up study
Abstract Background Fatigue is recognized as one of the most persistent and debilitating symptoms of long COVID, affecting both functionality and quality of life. However, its long‐term effects, especially beyond the first year after infection, remain poorly understood.
Isabella da Silva Almeida +6 more
wiley +1 more source
Experimental setup for dsRNA feeding in Brassicogethes aeneus to evaluate the effect of a synthetic polymer nanocarrier on RNAi efficiency. The experiment assessed whether the nanocarrier enhances RNAi after oral dsRNA delivery. (a) Stability of dsRNA–nanocarrier complexes was tested in simulated gut conditions. (b) Gene expression of αCOP and dre4 was
Triin Kallavus +13 more
wiley +1 more source
Transcriptome sequencing of Ceutorhynchus obstrictus revealed RNA interference (RNAi) targets; double‐stranded RNA microinjection reduced transcript levels and increased mortality, with αCOP and Rop showing strongest lethal effects, indicating promising RNAi‐based pest control candidates.
Apurva Vikas Sabnis +8 more
wiley +1 more source
Abstract Research Summary Despite the importance of resource reallocation in shaping a variety of strategic outcomes, strategy scholars have paid only limited attention to the processes by which firms reallocate their resources across successive systemic innovations.
Gino Cattani +2 more
wiley +1 more source
Bias in, symbolic compliance out? GPT's reliance on gender and race in strategic evaluations
Abstract Research summary Organizations are increasingly using large language models (LLMs) to support strategic evaluations. We examine whether and how these systems rely on gender and race. We asked GPT to evaluate identical startup pitches varying only the founder's name, shaping gender and race perceptions.
Tristan L. Botelho, Qingyang (Iris) Wang
wiley +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
Turbo codes and turbo algorithms
In the first part of this paper, several basic ideas that prompted the coming of turbo codes are commented on. We then present some personal points of view on the main advances obtained in past years on turbo coding and decoding such as the circular ...
Claude Berrou, Charlotte Langlais, Yi Yu
doaj
ENHANCEMENT OF ITERATIVE TURBO DECODING FOR HARQ SYSTEMS [PDF]
This paper presents a new method for stopping the iterative turbo decoding. First, a bit-level convergence test using the cross-entropy analyses is used to select non converged bits and establish a simple and effective stopping rule.
Imed Amamra, Nadir Derouiche
doaj

