Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security
This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata +7 more
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COPD-associated proteins as biomarkers and drug targets: Insights from genetic and proteomic analyses. [PDF]
Lin X, Zheng Q, Ma J, Ouyang W, Chen B.
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The medial prefrontal cortex as an integrative hub in chronic pain: network mechanisms and the enabling role of artificial intelligence. [PDF]
Cascella M, Montedoro M, Vittori A.
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Editorial: Expanding horizons in stress research-innovative paradigms and new directions in 2025. [PDF]
Schmidt MV, Reagan L.
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Embracing Imperfect Tools to Decode AKI in Decompensated Cirrhosis. [PDF]
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Evaluation of Potential Therapeutic Targets for Bacterial Infectious Skin Diseases: A Proteome-Wide Mendelian Randomization Study. [PDF]
Yan Z, Shi Z, Wang Y, Yin H.
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Joint Iterative Decoding Design of Cooperative Downlink SCMA Systems. [PDF]
Cheng H, Zhang M, Su R.
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Decode‐and‐forward with partial relay selection
International Journal of Communication Systems, 2010AbstractExact expressions for outage probability and symbol error rate are presented for a decode‐and‐forward cooperative network with partial relay selection. An independent but not identically distributed Nakagami‐m fading environment is considered. Numerical and simulated results show the validity of the analytical results.
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Outage analysis of opportunistic decode-and-forward relaying
In this paper, we investigate a dual-hop opportunistic decode-and-forward relaying scheme where the source may or not be able to communicate directly with the destination. We first derive statistics based on exact probability density function (PDF) of each hop.
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Error bounds for decode-and-forward relaying
We analyze and compare the maximum-likelihood (ML) decoder and the maximum a-posteriori (MAP) decoder for coding over a decode-and-forward relay network with orthogonal channels. Using a specific model for the errors introduced by the relay, we derive an optimal MAP decoder that operates on a super-trellis and estimates jointly the transmitted codeword
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