Single-cell profiling of lymphoid subsets. by Abishek Balakumar (20189865)

Transcriptomics-Driven Discovery of New Meroterpenoid Rhynchospenes Involved in the Virulence of the Barley Pathogen <i>Rhynchosporium commune</i> by Reynaldi Darma (20713741)

“…The resulting mutant showed significantly reduced expression of the <i>rhy</i> cluster <i>in planta</i> compared to the wild-type strain and decreased virulence in seedling pathogenicity assays on barley. …”

Neutralization fingerprinting of nAbs on a neutralization sensitive Env mutant panel (SENSE-19). by Caio Foulkes (20592250)

HIV-1 Env generalized neutralization sensitivity impacts differentially on the potency of broadly neutralizing antibodies (bnAbs). by Caio Foulkes (20592250)

Ingenuity pathway analysis of tonic ISG subclasses. by Tyron Chang (9922533)

Differential expression of innate immune genes in response to PAMPs in controls and BRD diagnosed calves is in response to TLR1/2 ligand Pam3CSK4. by Cian Reid (17274007)

Summary of structural dynamics of WT and mutant RhoGAPs-RhoA complexes. by Zen Kouchi (14898435)

Lectin microarray analysis of T/F and chronic HIV-1. by Yiying Zhang (198443)

Detailed sequences of primers for PCR. by Jiangli Zhao (2308330)

“…N7-methylguanosine (m7G) is a prevalent RNA modification that has attracted significant attention in recent research. In this study, we investigated the regulatory pattern and clinical significance of m7G methylation in epilepsy. …”

Identification of lipids with differential abundance between uninfected and BmNPV-infected head samples. by Min Feng (141118)

“…Lipids with statistically significant increase or decrease in abundance are colored in red or green, respectively. …”

Data Sheet 1_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

“…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. Regions with significant percentage increases in PTB mortality rates (>100%) included four western regions, six central regions, and five eastern regions. …”

Data Sheet 2_Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study.docx by Jingzhe Guo (5150768)

“…Tibet (124.24%) and Xinjiang (114.72%) in western China exhibited the largest percentage change in tuberculosis (TB) incidence, while Zhejiang Province (−50.45%) and Jiangsu Province (−51.33%) in eastern China showed the largest decreases. Regions with significant percentage increases in PTB mortality rates (>100%) included four western regions, six central regions, and five eastern regions. …”

Flowchart of node scheduling. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Key parameters of the data collection scheme. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Comparative analysis of data collection schemes. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

WSNs Data Collection Model. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Data collection performance for a single round. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Monitoring Area. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Flowchart of the proposed scheme. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Flowchart of CS reconstruction. by Zhouzhou Liu (21560758)

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”