Image 4_Large scale deletion and rebalancing within the k1C kafirin family in sorghum.tif by Tyler W. Ferris (22481194)

“…Despite confirming a ~400-kb deletion in the k1C family of both edited lines encompassing seven active genes, no significant decrease was observed in k1C expression or compensatory increase in non-kafirin proteins. …”

Image 1_Large scale deletion and rebalancing within the k1C kafirin family in sorghum.tif by Tyler W. Ferris (22481194)

“…Despite confirming a ~400-kb deletion in the k1C family of both edited lines encompassing seven active genes, no significant decrease was observed in k1C expression or compensatory increase in non-kafirin proteins. …”

Image 3_Large scale deletion and rebalancing within the k1C kafirin family in sorghum.tif by Tyler W. Ferris (22481194)

“…Despite confirming a ~400-kb deletion in the k1C family of both edited lines encompassing seven active genes, no significant decrease was observed in k1C expression or compensatory increase in non-kafirin proteins. …”

Image 2_Large scale deletion and rebalancing within the k1C kafirin family in sorghum.tif by Tyler W. Ferris (22481194)

“…Despite confirming a ~400-kb deletion in the k1C family of both edited lines encompassing seven active genes, no significant decrease was observed in k1C expression or compensatory increase in non-kafirin proteins. …”

Image 6_Large scale deletion and rebalancing within the k1C kafirin family in sorghum.tif by Tyler W. Ferris (22481194)

“…Despite confirming a ~400-kb deletion in the k1C family of both edited lines encompassing seven active genes, no significant decrease was observed in k1C expression or compensatory increase in non-kafirin proteins. …”

Data Sheet 1_Large scale deletion and rebalancing within the k1C kafirin family in sorghum.pdf by Tyler W. Ferris (22481194)

“…Despite confirming a ~400-kb deletion in the k1C family of both edited lines encompassing seven active genes, no significant decrease was observed in k1C expression or compensatory increase in non-kafirin proteins. …”

Table 1_Predicting the potential distribution of Corylus heterophylla in China under future climate change using an optimized MaxEnt model.docx by Jingyu Wang (292122)

“…The dominant factors influencing the distribution were identified as Bio16 (Precipitation of wettest quarter, 39.5%), Bio9 (Mean temperature of driest quarter, 22.2%), Alt (Altitude, 16.2%), and Bio3 (Isothermality, 7.1%). …”

Supplementary file 1_Instability and uncertainty of carbon storage in karst regions under land use change: a case study in Guiyang, China.docx by Heng Zhou (287510)

“…By 2035, projections under natural development, urban expansion, and ecological protection scenarios estimate increases to 147.50 Tg, 147.40 Tg, and 147.82 Tg, respectively. (2) Carbon storage instability increased from 2000 to 2020, while uncertainty is expected to decrease by 2035. Instability was primarily due to transitions of Cropland-Forest, Forest-Cropland, Cropland-Grassland, and Cropland-Impervious, while uncertainties mainly arise from Cropland-Forest, Cropland-Impervious, and Grassland-Impervious transitions. (3) DEM, AI, Distance from national highways, SHDI, and Mean annual precipitation affected instability significantly. (4) Encouraging Shrub-Forest, Shrub-Cropland and Cropland-Forest conversions, and controlling Forest-Cropland, Forest-Shrub, and Cropland-Impervious conversions within the stable intervals of factors, can enhance carbon storage and reduce uncertainty. …”

Table 1_Growth dynamics, reproductive biology, and nutritional profiling of the freshwater mussel Lamellidens marginalis (Lamarck, 1819): implications for wild stock conservation a... by Md. Mostafizur Rahman Mondol (22045478)

“…The results revealed significant variations in the mean biometric parameters across genders and periods. …”

Supplementary Material for: Temporal trends of pediatric stroke burden attributable to non-optimal temperature in the United States, 1990-2019: An analysis for the Global Burden of... by figshare admin karger (2628495)

“…A p-value <0.05 was considered statistically significant. Results: Nationally, there has been a decrease in pediatric stroke death rate and DALY rate attributable to non-optimal temperature from 1990 to 2019, with an AAPC of -2.36 (95% UI: -3.06--1.66, p-value<0.05) for death and -2.45 (95% UI: -3.10--1.80,p-value<0.05) for DALY. …”

Hardness preference in <i>Drosophila</i> larvae, as a relevant cue for varying feeding substrates. by Nikita Komarov (11903342)

“…B’: Relative hardness of agarose concentrations normalised to the mean 2.5% agarose hardness (error bars too small to visualise). …”

Telomere-to-telomere genome of <i>Phoebe chekiangensis</i> reveals age-dependent CHG hypomethylation promoting floral transition via MADS-box gene activation by Qinglin Sun (17811556)

“…Their ectopic expression in Arabidopsis significantly accelerated flowering. Whole-genome bisulfite sequencing revealed an age-related decrease in CHG methylation, particularly at the PcMADS19.1 locus. …”

Reinforcement Learning for Assessing Route Instruction Usability in Complex Indoor Spaces by Reza Arabsheibani (14244716)

“…Our results show that RL agents successfully learn to navigate even with incomplete instructions, significantly outperforming random agents. Agents trained on diverse environments generalize well to novel settings, although performance decreases with higher environmental complexity and finer-grained instruction grammars when instructions are incomplete. …”

Data Sheet 5_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Data Sheet 2_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Supplementary file 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.docx by Filippos S. Kardaras (18330696)

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Data Sheet 4_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Data Sheet 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

Data Sheet 3_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…When comparing the NE and SE groups, we observed a significant increase in the abundance of the Proteobacteria phylum in the SE group, while the abundance of Fusobacteria was significantly lower in the SE group. …”

DataSheet1_FOXO1-mediated autophagy regulation by miR-223 in sepsis-induced immunosuppression.ZIP by Guoan Xiang (383282)

“…Levels of autophagy were monitored using a double-labeled lentivirus (mRFP-GFP-LC3) and electron microscopy, and western blot analysis was used to estimate the levels of autophagy-related proteins and FOXO1 in the two cell models after co-treatment with lipopolysaccharide (LPS) and siRNA against FOXO1.</p>Results<p>We found that when the expression of miR-223 increased, FOXO1 expression decreased and autophagy decreased; whereas, when FOXO1 expression was inhibited, autophagy decreased significantly in different cell models after LPS induction.…”