Sample points and numerical simulation results. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Three-dimensional heat transfer model parameters. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Optimal Latin square sampling distribution. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

2C discharge rate grid independence test. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Feasibility diagram of design points. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Related parameters of square LIBs. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Multi objective optimization design process. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Battery pack model. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

RNAi targeting of <i>upd3</i> expression in muscle of <i>Gpdh1; Ldh</i> double mutant partially suppresses the developmental arrest phenotype. by Madhulika Rai (4352803)

Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

Data Sheet 1_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.docx by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 2_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 5_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 6_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 4_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 3_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 1_Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection.jpeg by Xinyi Shi (3133611)

“…<p>The risk of children being infected with Influenza A virus (IAV) is high, and if not treated promptly, it can lead to serious illness. …”

Image 2_Changes in the gut microbiome due to diarrhea in neonatal Korean indigenous calves.jpeg by Ji-Yeong Ku (20832209)

“…However, Proteobacteria increased and Bacteroidetes and Actinobacteria decreased in calves with diarrhea. In addition, calves with diarrhea showed a significant decrease in the diversity of the gut microbiome, especially for anaerobic microorganisms Faecalibacterium prausnitzii, Gemmiger formicilis, and Collinsella aerofaciens. …”

Image 1_Changes in the gut microbiome due to diarrhea in neonatal Korean indigenous calves.jpeg by Ji-Yeong Ku (20832209)

“…However, Proteobacteria increased and Bacteroidetes and Actinobacteria decreased in calves with diarrhea. In addition, calves with diarrhea showed a significant decrease in the diversity of the gut microbiome, especially for anaerobic microorganisms Faecalibacterium prausnitzii, Gemmiger formicilis, and Collinsella aerofaciens. …”

Data Sheet 1_Lack of association between genetic variations in CYP3A5 and blood pressure or hypertension risk in the UK biobank.pdf by Pia Leibold (21390134)

“…While some previous studies reported that CYP3A5 variants were associated with decreased blood pressure and risk of HTN, others reported no associations. …”