[HTML][HTML] Two-component regulatory system ActS/ActR is required for Sinorhizobium meliloti adaptation to oxidative stress
G Tang, S Wang, D Lu, L Huang, N Li, L Luo - Microbiological Research, 2017 - Elsevier
The two-component system ActS/ActR plays important roles in bacterial adaptation to abiotic
stress, including acid tolerance and oxidant resistance. However, the underlying regulatory …
stress, including acid tolerance and oxidant resistance. However, the underlying regulatory …
Nucleocapsid proteins from human coronaviruses possess phase separation capabilities and promote FUS pathological aggregation
…, H Zhang, J Jalin, Z He, R Wang, L Huang… - Protein …, 2023 - Wiley Online Library
The nucleocapsid (N) protein is an essential structural component necessary for genomic
packaging and replication in various human coronaviruses (HCoVs), such as SARS‐CoV‐2 …
packaging and replication in various human coronaviruses (HCoVs), such as SARS‐CoV‐2 …
[HTML][HTML] Transcription Regulation of Cell Cycle Regulatory Genes Mediated by NtrX to Affect Sinorhizobium meliloti Cell Division
S Xing, W Zheng, F An, L Huang, X Yang, S Zeng, N Li… - Genes, 2022 - mdpi.com
The cell division of the alfalfa symbiont, Sinorhizobium meliloti, is dictated by a cell cycle
regulatory pathway containing the key transcription factors CtrA, GcrA, and DnaA. In this study, …
regulatory pathway containing the key transcription factors CtrA, GcrA, and DnaA. In this study, …
[HTML][HTML] MicroRNA as a novel player in atrial fibrillation
S Fu, L Huang, Y Wang, X Li, J Li, J Xiao - Frontiers in Genetics, 2014 - frontiersin.org
Atrial fibrillation (AF), with an extremely highly age-dependent prevalence, is a most frequent
type of sustained arrhythmia in the clinic both in developing and developed countries (…
type of sustained arrhythmia in the clinic both in developing and developed countries (…
Reactive oxygen species accumulation patterns of alfalfa root nodules identified using an optimized method
L Yu, L Huang, S Zeng, G Tang, S Wang… - Acta Biochimica et …, 2019 - academic.oup.com
ROS include superoxide anion radical (O2−), hydrogen peroxide (H2O2), singlet oxygen (O·
O), hydroxyl radical (OH·), and hydroxyl anion (OH−). O2−, the radical with the highest …
O), hydroxyl radical (OH·), and hydroxyl anion (OH−). O2−, the radical with the highest …
Direct regulation of cell cycle regulatory gene expression by NtrX to promote Sinorhizobium meliloti cell division
S Xing, L Zhang, F An, L Huang, X Yang, S Zeng, N Li… - bioRxiv, 2021 - biorxiv.org
Cell division of the alfalfa symbiont, Sinorhizobium meliloti, is regulated by the CtrA signaling
network. The gene expression of regulatory proteins in the network is affected by nutrient …
network. The gene expression of regulatory proteins in the network is affected by nutrient …
Supervised learning with general risk functionals
Standard uniform convergence results bound the generalization gap of the expected loss
over a hypothesis class. The emergence of risk-sensitive learning requires generalization …
over a hypothesis class. The emergence of risk-sensitive learning requires generalization …
Two-component regulatory system ActS/ActR is required for Sinorhizobium meliloti adaptation to oxidative stress.
…, LDW Lu DaWei, HLQ Huang LeQi… - 2017 - cabidigitallibrary.org
The two-component system ActS/ActR plays important roles in bacterial adaptation to abiotic
stress, including acid tolerance and oxidant resistance. However, the underlying regulatory …
stress, including acid tolerance and oxidant resistance. However, the underlying regulatory …
Off-policy risk assessment for markov decision processes
Addressing such diverse ends as mitigating safety risks, aligning agent behavior with human
preferences, and improving the efficiency of learning, an emerging line of reinforcement …
preferences, and improving the efficiency of learning, an emerging line of reinforcement …
[PDF][PDF] RiskyZoo: A Library for Risk-Sensitive Supervised Learning
Supervised learning models are increasingly used in algorithmic decision-making. The
traditional assumption on the training and testing data being independently and identically …
traditional assumption on the training and testing data being independently and identically …