Adhesiveness changes across different IDDSI levels and food categories. by Muxi Chen (9294270)

Subjects:

Statistical analysis of adhesiveness, hardness, and cohesiveness across IDDSI levels. by Muxi Chen (9294270)

Subjects:

Comparison of hardness ranges for different food categories under IDDSI levels. by Muxi Chen (9294270)

Subjects:

The influence of the controlled pH conditions at the sample preparation step on the obtained signals (panel A: extraction using a mixture of MeOH and EtOH; panel B: extraction usin... by Ewa Paszkowska (21246702)

T1w images (top row) and segmented PVS overlaid on T1w images (bottom row) at TP of 0M, 3M, 12M, and FollowUp for a typical patient. by Ruitian Song (11045127)

Effect of ex vivo treatment with rhTGFβ1 or a TGFβ1 inhibitor on monocyte responses to rgE stimulation. Monocytes and NK cells purified from PBMC collected from 10 RZV recipients (demographics in S4 Table) before vaccination (D0) and 90 days post-vaccination (D90) were combined ex vivo and stimulated with VZV-rgE. A subset of D0 monocyte & NK cocultures was also treated with the TGFβ1 inhibitor LY (D0 LY), and a subset of D90 cocultures were supplemented with rhTGFβ1. The graph shows individual data points, means and p values calculated by Friedman test for repeated measures with FDR correction. LY treatment of cells collected on D0 significantly increased their activation to levels similar to D90. Conversely, treatment of D90 cells with rhTGFβ1 significantly decreased their activation to levels similar to D0. by Michael J. Johnson (5818168)

“…Conversely, treatment of D90 cells with rhTGFβ1 significantly decreased their activation to levels similar to D0.…”

Estimates of the differencing parameter, d, in Eq (1). by Luis Alberiko Gil-Alana (14659817)

Estimates of the differencing parameter, d, in Eq (1). by Luis Alberiko Gil-Alana (14659817)

Estimated coefficients based on the selected model in Table 4. by Luis Alberiko Gil-Alana (14659817)

Estimated coefficients based on the selected model in Table 3. by Luis Alberiko Gil-Alana (14659817)

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

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

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

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

Different serum biochemical profile of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop tube for 45 days. by Naveed Arshad (19712985)

Different serum biochemical profile of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop tube for 45 days. by Naveed Arshad (19712985)

Feed intake and body weight of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop tube for 45 days. by Naveed Arshad (19712985)

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)

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

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

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

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

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”

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

“…<p>(A) Genome-wide association results of the impact of identified SNPs on viral copies during SARS-CoV-2 infection. …”