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For a multiple-input multiple-output (MIMO) system with unknown channel state information (CSI), a novel low-density parity check (LDPC)-coded transmission (LCT) scheme with joint pilot and data channel estimation is proposed. To fine-tune the CSI, a method based on the constraints introduced by the coded data from an LDPC code is designed such that the MIMO detector exploits the fine-tuned CSI. For reducing the computational burden, a coordinate ascent algorithm is employed along with several approximation methods, effectively reducing the required times of MIMO detection and computational complexity to achieve a satisfying performance. Simulation results utilizing WiMAX standard LDPC codes and quadrature phase-shift keying (QPSK) modulation demonstrate gains of up to 1.3 dB at a frame error rate (FER) of 10−4 compared to pilot-assisted transmission (PAT) over Rayleigh block-fading channels.

A tree search algorithm called successive cancellation ordered search (SCOS) is proposed for $\boldsymbol {G}_{N}$ -coset codes that implements maximum-likelihood (ML) decoding with adaptive complexity for transmission over binary-input AWGN channels. Unlike bit-flip decoders, no outer code is needed to terminate decoding; therefore, SCOS also applies to $\boldsymbol {G}_{N}$ -coset codes modified with dynamic frozen bits. The average complexity is close to that of successive cancellation (SC) decoding at practical frame error rates (FERs) for codes with wide ranges of rate and lengths up to 512 bits, which perform within 0.25 dB or less from the random coding union bound and outperform Reed–Muller codes under ML decoding by up to 0.5 dB. Simulations illustrate simultaneous gains for SCOS over SC-Fano, SC stack (SCS) and SC list (SCL) decoding in FER and the average complexity at various SNR regimes. SCOS is further extended by forcing it to look for candidates satisfying a threshold, thereby outperforming basic SCOS under complexity constraints. The modified SCOS enables strong error-detection capability without the need for an outer code. In particular, the (128, 64) polarization-adjusted convolutional code under modified SCOS provides gains in overall and undetected FER compared to CRC-aided polar codes under SCL/dynamic SC flip decoding at high SNR.

Hesperetin-7-O-glucoside (Hes-7-G) is a typical flavonoid monoglucoside isolated from Citri Reticulatae Pericarpium (CRP), which is commonly used as a food adjuvant and exhibits potential biological activities. To explore the interaction between Hes-7-G ingestion and microbiome and host metabolism, here, 16S rRNA gene sequencing was first used to analyze the alteration of fecal microbiome in mice after Hes-7-G intake. Metabolic homeostasis in mice was subsequently investigated using untargeted 1H NMR-based metabolomics and targeted metabolite profiling. We found that dietary Hes-7-G significantly regulated fecal microbiota and its derived metabolites, including short-chain fatty acids (SCFAs) and tryptophan metabolites (indole and its derivatives), in feces of mice. Regulation of microbiota was further confirmed by the significantly changed urinary hippurate and trimethylamine N-oxide (TMAO), co-metabolites of the microbe and host. We also found that dietary Hes-7-G modulated the host tricarboxylic acid cycle (TCA) involved in energy metabolism. These findings suggested that Hes-7-G exhibits potential beneficial effects for human health.