Structure-based alignment and homology modelling of MeTIR domains. by Bulelani L. Sizani (21485746)

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Primers used for SACMV DNA-A and DNA-B virulence proteins and PacBio SMRT sequence of NLR and LRR-PK/PL genes. by Bulelani L. Sizani (21485746)

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Expression profile of WRKY-TFs and ROS accumulation in susceptible T200 and tolerant TME3 cassava genotypes. by Bulelani L. Sizani (21485746)

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Transcript levels of MAPK, NIK, NLR and SA-depended gene pathways and responsive genes. by Bulelani L. Sizani (21485746)

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South African cassava mosaic virus (SACMV) genome structure and the effect of SACMV on cassava leaf symptoms. by Bulelani L. Sizani (21485746)

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Transcript levels of MAPK, NIK, NLR and SA-dependent gene pathways and responsive genes. by Bulelani L. Sizani (21485746)

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Differentially-expressed NLR genes in susceptible T200 and tolerant TME3 genotypes infected with SACMV. by Bulelani L. Sizani (21485746)

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Total count of HiFi reads indicating gene variation in 24 cassava genotypes. by Bulelani L. Sizani (21485746)

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Hypothetical model of the molecular mechanism underlying the ability of SACMV to suppress the host RNA silencing mechanism (PTGS) and systemic acquired resistance (SAR). by Bulelani L. Sizani (21485746)

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Artwork demonstrating the principal tSCI compression subtypes. by Harshit Arora (22008280)

Quantification of bacterial adhesion revealed a significant decrease in the adhesion of <i>S. aureus</i>, <i>S. epidermidis</i>, and <i>P. aeruginosa</i> on blotted corneas of mice... by Ananya Datta (19932144)

Size-exclusion HPLC and SDS-PAGE Analysis of βA3ΔG91 vs WT mouse lens proteins. by Akosua K. Boateng (21672931)

HE staining of intestinal histopathological changes in infected mice at 7 dpi. by Bo Ning Wang (16965117)

Difference in by Akihiro Kakimoto (343218)

“…Compared with the resting levels, the alpha/beta ratio of EEG (indicating relaxed concentration) was significantly decreased by 19% in the video-based VR and increased by 40% in the immersive VR groups (both p < 0.05). …”

Experimental protocol. by Akihiro Kakimoto (343218)

“…Compared with the resting levels, the alpha/beta ratio of EEG (indicating relaxed concentration) was significantly decreased by 19% in the video-based VR and increased by 40% in the immersive VR groups (both p < 0.05). …”

Relationship between the change in by Akihiro Kakimoto (343218)

“…Compared with the resting levels, the alpha/beta ratio of EEG (indicating relaxed concentration) was significantly decreased by 19% in the video-based VR and increased by 40% in the immersive VR groups (both p < 0.05). …”

Preference for the EIA – conjoint results. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Sample attribute table. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Subgroup analysis – Political affiliation. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”