Yao Liu

Jan 9, 2025 | nature.com | Yao Liu |Pauline Maiello |Andrew Simonson |Mark Rodgers |Dirk Schnappinger |Sabine Ehrt

AbstractImproved vaccination strategies for tuberculosis are needed. Intravenous (i.v.) delivery of live attenuated Mycobacterium bovis BCG provides protection against Mycobacterium tuberculosis (Mtb) in macaques but poses safety challenges. Here we genetically engineered two strains, BCG-TetON-DL and BCG-TetOFF-DL, to either induce or inhibit expression of two phage lysin operons, respectively, upon tetracycline exposure.

Dec 5, 2024 | nature.com | Yao Liu

Correction to: Scientific Reports https://doi.org/10.1038/s41598-024-77557-6, published online 28 October 2024The original version of this Article contained a typographical error in Eq. 1, where$$f\left( d \right) = \frac{P}{{1 + e^{{ - k?d - d_{0} ?}} }}$$ (1) now reads:$$f\left( d \right) = \frac{P}{{1 + e^{{ - k(d - d_{0} )}} }}$$ (1) This error has now been corrected in the PDF version of the Article; the HTML version was correct from the time of publication.

Oct 25, 2024 | onlinelibrary.wiley.com | Linke Cai |Yao Liu |Ying Gao |Bo-Hang Zhao

Conflict of Interests The authors declare no conflict of interest. Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.

Oct 14, 2024 | pubs.rsc.org | Yao Liu |Southwest Jiaotong |Zhong Li |Yi Liang

Recent advances in nanomaterial-enabled chemiresistive hydrogen sensors With the growing adoption of hydrogen energy and the rapid advancement of Internet of Things (IoT) technologies, there is an increasing demand for high-performance hydrogen gas (H2) sensors. Among various sensor types, chemiresistive H2 sensors have emerged as particularly promising due to their excellent sensitivity, fast response times, cost-effectiveness, and portability.

Jun 21, 2024 | mdpi.com | Yao Liu |Shuai Wang |Can Zhou |Xiaofei Wang

1. IntroductionOriginating from artificial intelligence [1], Bayesian networks offer intuitive graphical representations for joint probability distributions and efficient algorithms for probabilistic reasoning. These networks are powerful tools for managing uncertainty and are applied across various fields, including bioinformatics [2,3], computational biology [4,5,6], and neuroscience [7], among others.