Results 51 to 60 of about 16,915 (258)
On Data-Processing and Majorization Inequalities for f-Divergences with Applications
Entropy, 2019 This paper is focused on the derivation of data-processing and majorization inequalities for f-divergences, and their applications in information theory and statistics.
Igal Sason
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FEBS Open Bio, EarlyView.We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source
Fast Polar Decoding With Successive Cancellation List Creeper Algorithm
IEEE AccessPolar codes have emerged as a focal point in the field of error-correcting codes, owing to their remarkable capacity-achieving characteristics and their relevance in various modern communication systems. The basic successive cancellation (SC) approach is
Ilya Timokhin, Fedor Ivanov
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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
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Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
SSCANL decoder based joint iterative detection and decoding algorithm
Dianxin kexue, 2022 In order to improve the receiver performance of the sparse code multiple access (SCMA) system based on polar codes, the cyclic redundancy check (CRC) aided joint iterative detection and decoding receiver scheme based on simplify soft cancellation list ...
Chongyang LIU, Rui GUO
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Simplified MD-LSD demapping algorithm for BICM-ID systems with multi-dimensional mappings
Tongxin xuebao, 2008 The soft in soft out MAX-LOG-MAP algorithm of conventional mappings was expanded to the BICM-ID sys- tem with multi-dimensional mappings. A multi-dimensional list sphere decoding （MD-LSD） algorithm was also proposed by using the list sphere decoding ...
GONG Feng-kui, GE Jian-hua, WANG Yong
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Successive Cancellation Priority Decoding of Polar Codes
IEEE Access, 2019 The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity.
Di Guan, Kai Niu, Chao Dong, Ping Zhang
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