Belief propagation list(BPL) decoding for polar codes has attracted more attention due to its inherent parallel nature. However, a large gap still exists with CRC-aided SCL(CA-SCL) decoding.In this work, an improved s...Belief propagation list(BPL) decoding for polar codes has attracted more attention due to its inherent parallel nature. However, a large gap still exists with CRC-aided SCL(CA-SCL) decoding.In this work, an improved segmented belief propagation list decoding based on bit flipping(SBPL-BF) is proposed. On the one hand, the proposed algorithm makes use of the cooperative characteristic in BPL decoding such that the codeword is decoded in different BP decoders. Based on this characteristic, the unreliable bits for flipping could be split into multiple subblocks and could be flipped in different decoders simultaneously. On the other hand, a more flexible and effective processing strategy for the priori information of the unfrozen bits that do not need to be flipped is designed to improve the decoding convergence. In addition, this is the first proposal in BPL decoding which jointly optimizes the bit flipping of the information bits and the code bits. In particular, for bit flipping of the code bits, a H-matrix aided bit-flipping algorithm is designed to enhance the accuracy in identifying erroneous code bits. The simulation results show that the proposed algorithm significantly improves the errorcorrection performance of BPL decoding for medium and long codes. It is more than 0.25 d B better than the state-of-the-art BPL decoding at a block error rate(BLER) of 10^(-5), and outperforms CA-SCL decoding in the low signal-to-noise(SNR) region for(1024, 0.5)polar codes.展开更多
Colorectal cancer(CRC)is a common digestive tract tumor worldwide.Specific microorganisms,including Fusobacterium nucleatum(F.nucleatum)and Escherichia coli(E.coli),are abundant in colonic mucosa and can promote the c...Colorectal cancer(CRC)is a common digestive tract tumor worldwide.Specific microorganisms,including Fusobacterium nucleatum(F.nucleatum)and Escherichia coli(E.coli),are abundant in colonic mucosa and can promote the cancer progression and malignancy.Therefore,a therapeutic strategy is proposed to deliver effective drugs to colorectum for both anticancer and antibacteria.Here we used thin-film dispersionmethod to encapsulate hemiprotonic phenanthroline-phenanthroline^(+)(ph-ph^(+))into nanomicelle.The results showed that the drug-loading nanomicelle had good dispersion,and the particle size was about 28 nm.In vitro assay indicated that the nanomicelle was active against CRC-related obligate and facultative anaerobes.In human CRC cells,the nanomicelle could effectively inhibit cell proliferation and induce apoptosis.In vivo distribution showed that the nanomicelle could release ph-ph^(+) mainly in the colorectum.In CRC model mice,the nanomicelle significantly reduced tumor number and volume,and decreased the bacteria load and colorectal inflammation.Together,the study identifies that the ph-ph^(+) nanomicelle has the potential to apply in treating CRC,and also suggests that anticancer combined with antimicrobial therapy would be a feasible way for CRC therapy.展开更多
[Objectives] To systematically study the main active components of Fufang Changtai(FFCT) in the treatment of colorectal cancer(CRC), and to explore its mechanism of action. [Methods] The main chemical components of FF...[Objectives] To systematically study the main active components of Fufang Changtai(FFCT) in the treatment of colorectal cancer(CRC), and to explore its mechanism of action. [Methods] The main chemical components of FFCT were analyzed by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) combined with automatic analysis platform, and the main pharmacodynamic substances of FFCT were studied by network pharmacology method and its mechanism of action was explored. The binding degree between the active components and the core targets were verified by molecular docking technology. [Results] A total of 86 compounds were identified from FFCT, among which 26 compounds were Ginsenoside Rg3, Ginsenoside Rb1, Astragaloside III, etc. The key target pathway enrichment analysis showed that FFCT played its role in the treatment of CRC mainly through the PI3K-Akt signaling pathway and MAPK signaling pathway. [Conclusions] This study comprehensively identified the FFCT components. Supplemented by network pharmacology and molecular docking technology, it is expected to provide a scientific theoretical basis and an important reference for FFCT therapeutic components identification, key target verification and mechanism of action in the treatment of CRC.展开更多
基金funded by the Key Project of NSFC-Guangdong Province Joint Program(Grant No.U2001204)the National Natural Science Foundation of China(Grant Nos.61873290 and 61972431)+1 种基金the Science and Technology Program of Guangzhou,China(Grant No.202002030470)the Funding Project of Featured Major of Guangzhou Xinhua University(2021TZ002).
文摘Belief propagation list(BPL) decoding for polar codes has attracted more attention due to its inherent parallel nature. However, a large gap still exists with CRC-aided SCL(CA-SCL) decoding.In this work, an improved segmented belief propagation list decoding based on bit flipping(SBPL-BF) is proposed. On the one hand, the proposed algorithm makes use of the cooperative characteristic in BPL decoding such that the codeword is decoded in different BP decoders. Based on this characteristic, the unreliable bits for flipping could be split into multiple subblocks and could be flipped in different decoders simultaneously. On the other hand, a more flexible and effective processing strategy for the priori information of the unfrozen bits that do not need to be flipped is designed to improve the decoding convergence. In addition, this is the first proposal in BPL decoding which jointly optimizes the bit flipping of the information bits and the code bits. In particular, for bit flipping of the code bits, a H-matrix aided bit-flipping algorithm is designed to enhance the accuracy in identifying erroneous code bits. The simulation results show that the proposed algorithm significantly improves the errorcorrection performance of BPL decoding for medium and long codes. It is more than 0.25 d B better than the state-of-the-art BPL decoding at a block error rate(BLER) of 10^(-5), and outperforms CA-SCL decoding in the low signal-to-noise(SNR) region for(1024, 0.5)polar codes.
基金supported by National Natural Science Foundation of China(No.82073830)Chongqing Natural Science Foundation(No.CSTB2022NSCQ-MSX1328).
文摘Colorectal cancer(CRC)is a common digestive tract tumor worldwide.Specific microorganisms,including Fusobacterium nucleatum(F.nucleatum)and Escherichia coli(E.coli),are abundant in colonic mucosa and can promote the cancer progression and malignancy.Therefore,a therapeutic strategy is proposed to deliver effective drugs to colorectum for both anticancer and antibacteria.Here we used thin-film dispersionmethod to encapsulate hemiprotonic phenanthroline-phenanthroline^(+)(ph-ph^(+))into nanomicelle.The results showed that the drug-loading nanomicelle had good dispersion,and the particle size was about 28 nm.In vitro assay indicated that the nanomicelle was active against CRC-related obligate and facultative anaerobes.In human CRC cells,the nanomicelle could effectively inhibit cell proliferation and induce apoptosis.In vivo distribution showed that the nanomicelle could release ph-ph^(+) mainly in the colorectum.In CRC model mice,the nanomicelle significantly reduced tumor number and volume,and decreased the bacteria load and colorectal inflammation.Together,the study identifies that the ph-ph^(+) nanomicelle has the potential to apply in treating CRC,and also suggests that anticancer combined with antimicrobial therapy would be a feasible way for CRC therapy.
基金Supported by Key Project of National Clinical Research Base of Traditional Chinese Medicine (JD2022SZXZD01)Open Project of Jiangsu Health Development Research Center (JSHD2021014&JSHD2021040)+1 种基金National Natural Science Foundation of China (81573620)Jiangsu Province Six Talent Summit Innovation Team Funding Project (SWYY-CXTD-004)。
文摘[Objectives] To systematically study the main active components of Fufang Changtai(FFCT) in the treatment of colorectal cancer(CRC), and to explore its mechanism of action. [Methods] The main chemical components of FFCT were analyzed by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) combined with automatic analysis platform, and the main pharmacodynamic substances of FFCT were studied by network pharmacology method and its mechanism of action was explored. The binding degree between the active components and the core targets were verified by molecular docking technology. [Results] A total of 86 compounds were identified from FFCT, among which 26 compounds were Ginsenoside Rg3, Ginsenoside Rb1, Astragaloside III, etc. The key target pathway enrichment analysis showed that FFCT played its role in the treatment of CRC mainly through the PI3K-Akt signaling pathway and MAPK signaling pathway. [Conclusions] This study comprehensively identified the FFCT components. Supplemented by network pharmacology and molecular docking technology, it is expected to provide a scientific theoretical basis and an important reference for FFCT therapeutic components identification, key target verification and mechanism of action in the treatment of CRC.
