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Your search keyword '"Jianchuan Hu"' showing total 2 results
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2 results on '"Jianchuan Hu"'

1. Secure reversal of immune evasion from refractory NSCLC and highly contagious CoV‐2 mutants by using 3D‐engineered multifunctional biologics

Author

Yanna Zhang, Qian Li, Nanxi Liu, Jianchuan Hu, Xiaojuan Lin, Meijuan Huang, Yuquan Wei, Xiaorong Qi, and Xiancheng Chen

Subjects
evasion dynamics, highly transmissible SARS‐Cov‐2 variants, multifunctional E/BSC, refractory NSCLC, voided‐microenvironment reset, Chemical engineering, TP155-156, Biotechnology, TP248.13-248.65, Therapeutics. Pharmacology, RM1-950
Abstract

Abstract There is an imperative choice to develop a secure feasible strategy to address evasion dynamics of refractory tumors and SARS‐CoV‐2‐variants, while stem cell‐based protocol may be more reliable as its unique ability for resetting multifunctional immunity to address progressive tumor and the constantly‐evolving virus. In this study, spheroid‐embryonoid stem cells from mature somatic cells were engineered as multifunctional biologics (3D‐E/BSC) and inoculated in senile rhesus to identify secure potential against immune‐evasion from viral‐variants. Meanwhile, a cohort of eligible patients with stage IV NSCLC were approved for phase I clinical trials. Subsequently, long‐lasting security and efficacy were validated by primate and clinical trials (p

Published
2023
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2. Detection method for height limit based on compression encoding imaging

Author

Jianchuan Hu, Jun Ke, and Ping Wei

Subjects
Matrix (mathematics), Sparse image, Compressed sensing, Compression (functional analysis), Encoding (memory), Data_CODINGANDINFORMATIONTHEORY, Limit (mathematics), Focus (optics), Algorithm, Hadamard matrix, Mathematics
Abstract

We put forward a new method based on compressed encoding imaging faced with detection for height limit. In the beginning of this paper, we focus on hadamard encoding, and analysis the SNR of hadamard encoding. Then, a new encoding matrix M based on hadamard matrix been put forward. Matrix M is suitable for the sparse image obtained from the detection for height limit, and implement easily on the DMD. Compressed encoding imaging simulation based on measurement matrix M have been done in our work, and demonstrates the feasibility of the design method.

Published
2015
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