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Objective To explore the classification and changes of macrophage subsets in liver transplant rejection. Methods Rat liver transplantation model were established and divided into immune tolerance group (B-B), where the liver of BN rat donors was transplanted to BN rat recipients, and immune rejection group (L-B), in which the liver of Lewis rat donors was transplanted to BN rat recipients. Single-cell RNA sequencing and highthroughput RNA sequencing were used to distinguish the macrophage subsets of rat liver transplantation, and to find differential gene in rejection reactions. Immunohistochemistry was used to determine the changes and distribution of protein expression and cell subsets. Results CD68 positive macrophages were higher in the rejection group than that in the tolerance group (P < 0.05), and macrophages could be divided into 9 subsets. During the rejection reaction, the CXC chemokine ligand 9 (CXCL9) in the 8th subsets of macrophages was significantly increased, while the gene for white blood cell differentiation antigen 74 (CD74) in the 5th subsets was significantly increased (P < 0.05). CD74 ranked first in the differential gene synthesis of macrophages during rejection, followed by CXCL9. Compared with the tolerance group, a large number of CD74 positive macrophages were observed in the hepatic portal area of the rejection group, and the infiltration of CD74 positive macrophages in the hepatic sinuses was also significantly increased (P < 0.05), while a large number of CXCL9 positive macrophages were observed in the hepatic portal area and hepatic sinuses of the rejection group, especially in the portal area (P < 0.05), and CD14 positive cells were significantly increased (P < 0.05). Conclusions The CD74 positive macrophage subsets and CXCL9 positive macrophage subsets may be key subgroups in promoting liver transplant rejection, improving the mechanism of macrophage action in liver transplant rejection. [ABSTRACT FROM AUTHOR]

An efficient on-chip learning method based on neuron multiplexing is proposed in this paper to address the limitations of traditional on-chip learning methods, including low resource utilization and non-tunable parallelism. The proposed method utilizes a configurable neuron calculation unit (NCU) to calculate neural networks in different degrees of parallelism through multiplexing NCUs at different levels, and resource utilization can be increased by reducing the number of NCUs since the resource consumption is predominantly determined by the number of NCUs and the data bit-width, which are decoupled from the specific topology. To better support the proposed method and minimize RAM block usage, a weight segmentation and recombination method is introduced, accompanied by a detailed explanation of the access order. Moreover, a performance model is developed to facilitate parameter selection process. Experimental results conducted on an FPGA development board demonstrate that the proposed method has lower resource consumption, higher resource utilization, and greater generality compared to other methods. [ABSTRACT FROM AUTHOR]

Building a comprehensive project-based curriculum based on the PBL teaching philosophy to meet the requirements of cultivating practical and comprehensive innovative talents in high-level, challenging, and innovative first-class courses in universities. Guided by STEAM and taking the course of "practice and innovation training based on ukulele" as an example, this paper designs the teaching objectives and content of PBL teaching, analyzes the corresponding teaching organization and teacher team construction according to the teaching characteristics, and conducts teaching research and practice. [ABSTRACT FROM AUTHOR]

Background: Accumulated evidence highlights the significance of the crosstalk between epigenetic and epitranscriptomic mechanisms, notably 5-methylcytosine (5mC) and N6-methyladenosine (m6A). Herein, we conducted a widespread analysis regarding the crosstalk between 5mC and m6A regulators in hepatocellular carcinoma (HCC). Methods: Pan-cancer genomic analysis of the crosstalk between 5mC and m6A regulators was presented at transcriptomic, genomic, epigenetic, and other multi-omics levels. Hub 5mC and m6A regulators were summarized to define an epigenetic and epitranscriptomic module eigengene (EME), which reflected both the pre- and post-transcriptional modifications. Results: 5mC and m6A regulators interacted with one another at the multi-omic levels across pan-cancer, including HCC. The EME scoring system enabled to greatly optimize risk stratification and accurately predict HCC patients' clinical outcomes and progression. Additionally, the EME accurately predicted the responses to mainstream therapies (TACE and sorafenib) and immunotherapy as well as hyper-progression. In vitro, 5mC and m6A regulators cooperatively weakened apoptosis and facilitated proliferation, DNA damage repair, G2/M arrest, migration, invasion and epithelial-to-mesenchymal transition (EMT) in HCC cells. The EME scoring system was remarkably linked to potential extrinsic and intrinsic immune escape mechanisms, and the high EME might contribute to a reduced copy number gain/loss frequency. Finally, we determined potential therapeutic compounds and druggable targets (TUBB1 and P2RY4) for HCC patients with high EME. Conclusions: Our findings suggest that HCC may result from a unique synergistic combination of 5mC-epigenetic mechanism mixed with m6A-epitranscriptomic mechanism, and their crosstalk defines therapeutic response and pharmacogenomic landscape. [ABSTRACT FROM AUTHOR]

This article mainly investigates the state‐feedback L1$$ {L}_1 $$ finite‐time control problem for discrete‐time switched positive linear systems with mode‐dependent persistent dwell‐time (MDPDT) switching. The MDPDT switching is more general than the common dwell‐time and average dwell‐time switching because it can perfectly model a type of switched systems with hybrid slow and fast switching properties. Considering the positivity of the system, we adopt multiple linear copositive Lyapunov functions instead of traditional quadratic Lyapunov functions and derive sufficient criteria of finite‐time stability by utilizing the linear programming approach. Then the relationship between the lower bound of such switching signals and parameters of the constructed controllers is found successfully, and a sufficient condition to ensure that the closed‐loop switched system maintains positive and L1$$ {L}_1 $$ finite‐time bounded is proposed. Finally, the efficiency of our developed conclusions is validated by two illustrative examples. [ABSTRACT FROM AUTHOR]