Alpha diversity index table. by Xiaona Lyu (20871872)

“…Results demonstrated that irrigation regimes and fertilization patterns significantly modulated bacterial richness and diversity, as quantified by amplicon sequence variants (ASVs). …”

ASV species taxonomic information sheet. by Xiaona Lyu (20871872)

“…Results demonstrated that irrigation regimes and fertilization patterns significantly modulated bacterial richness and diversity, as quantified by amplicon sequence variants (ASVs). …”

Effective sequence statistics table. by Xiaona Lyu (20871872)

“…Results demonstrated that irrigation regimes and fertilization patterns significantly modulated bacterial richness and diversity, as quantified by amplicon sequence variants (ASVs). …”

Marginal epistasis tests identify single nucleotide polymorphisms (SNPs) that have epistatic interactions with others and are associated with the changes in viral copies. by Ke Li (106849)

GWAS analysis using Cluster 2 data (shown in S1 Fig). by Ke Li (106849)

“…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>3.68</b>×<b>10</b>^<b>−5</b>(0.05/1357 SNPs). …”

GWAS analysis using only Cluster 1 data (shown in S1 Fig). by Ke Li (106849)

“…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>4.03</b>×<b>10</b>^<b>−5</b> (0.05/1242 SNPs). …”

GWAS analysis using Cluster 3 data (shown in S1 Fig). by Ke Li (106849)

“…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = 2<b>.80</b>×<b>10</b>^<b>−5</b>(0.05/1784 SNPs). …”

GWAS analysis using Cluster 4 data (shown in S1 Fig). by Ke Li (106849)

“…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>7.91</b>×<b>10</b>^<b>−6</b> (0.05/6314 SNPs). …”

GWAS analysis identifies several single nucleotide polymorphisms (SNPs) that are associated with the changes in viral copies. by Ke Li (106849)

“…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>4.67</b>×<b>10</b>^<b>−6</b> (0.05/10697 SNPs). …”

GWAS analysis identifies several single nucleotide polymorphisms (SNPs) that are associated with the changes in viral copies. by Ke Li (106849)

“…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>4.67</b>×<b>10</b>^<b>−6</b>. …”

The result of molecular dynamics simulation. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Result of the phenotypic analysis. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Type of Mutations. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Impact of PFOS Exposure on Murine Fetal Hematopoietic Stem Cells, Associated with Intrauterine Metabolic Perturbation by Wang Ka LEE (20876477)

Impact of PFOS Exposure on Murine Fetal Hematopoietic Stem Cells, Associated with Intrauterine Metabolic Perturbation by Wang Ka LEE (20876477)

Impact of PFOS Exposure on Murine Fetal Hematopoietic Stem Cells, Associated with Intrauterine Metabolic Perturbation by Wang Ka LEE (20876477)

Impact of PFOS Exposure on Murine Fetal Hematopoietic Stem Cells, Associated with Intrauterine Metabolic Perturbation by Wang Ka LEE (20876477)

Impact of PFOS Exposure on Murine Fetal Hematopoietic Stem Cells, Associated with Intrauterine Metabolic Perturbation by Wang Ka LEE (20876477)

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”