DataSheet_1_First description of in situ chlorophyll fluorescence signal within East Antarctic coastal polynyas during fall and winter.docx by Lucie Bourreau (16698258)

“…An additional signal occurring at 130m depth in August within CDP may result from in situ growth of phytoplankton due to potential adaptation to low irradiance or remnant chlorophyll-a that was advected into the polynya. The decrease and deepening of the fluorescence signal from February to August was accompanied by the deepening of the mixed layer depth and a cooling and salinification of the water column in both polynyas. …”

DataSheet_1_First description of in situ chlorophyll fluorescence signal within East Antarctic coastal polynyas during fall and winter.docx by Lucie Bourreau (16698258)

“…An additional signal occurring at 130m depth in August within CDP may result from in situ growth of phytoplankton due to potential adaptation to low irradiance or remnant chlorophyll-a that was advected into the polynya. The decrease and deepening of the fluorescence signal from February to August was accompanied by the deepening of the mixed layer depth and a cooling and salinification of the water column in both polynyas. …”

A DAG illustrating the assumptions required for MVMR. by Wes Spiller (13229484)

Data Fig 1A and 1D. by Mona Estrella Bachmann (13531933)

Development of a humanized murine AML model. by Tingting Huang (496866)

FIG1A- FIG1N. by Elaine Carvalho de Oliveira (11630455)

A rescue experiment designed for GPR168. by Xiang Guo (223678)

Results of SD-TOPSIS application ‐ combination A. by Roman Vavrek (13200141)

“…The presented research works with five criteria, identified by the Institute for Economic and Social Reforms, and aims to quantify the agreement of the results of the assessment of the financial health of territorial self-government entities in 2020 using the TOPSIS technique with a gradually decreasing number of criteria. For this purpose, a total of 26 combinations of criteria are created, with the number of 5, 4, 3 and 2 used criteria, the importance of which is determined based on their absolute variability using the standard deviation method. …”

Three orthogonal forces acting on a pick. by Qianqian Zhang (587342)

Fig 2 - by Susana Aideé González-Chávez (11495378)

Multivariable-adjusted odds ratio (aOR) for high biomarkers of iron metabolism according to quartile of lung function. by Jonghoo Lee (4831776)

“…<p>The aOR for hyperferritinemia increased with decreasing quartiles of FEV1% and FVC% (A) in a dose-response manner. …”

Joint Effect of Habitat Identity and Spatial Distance on Spiders’ Community Similarity in a Fragmented Transition Zone by Yoni Gavish (649138)

“…We divided the pairwise values to four functional distance categories (same patch, different patches from the same landscape, adjacent landscapes and distant landscapes) and two habitat categories (same or different habitats) and compared them using non-parametric MANOVA. A significant interaction between habitat identity and spatial distance was found, such that the difference in mean similarity between same-habitat pairs and different-habitat pairs decreases with spatial distance. …”

The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in... by Anna R. Kahkoska (3614780)

“…Within the non-White subgroup, mean HbA1c across visits was estimated to decrease by 0.33% (95%CI: -0.45%, -0.21%) if these YYA received the distribution of diabetes treatment regimens of the White subgroup, explaining approximately 35% of the estimated difference between the two subgroups. …”

Image 2_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.tif by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Image 3_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.tif by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Table 2_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.docx by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Table 10_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.xlsx by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Table 3_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.xlsx by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Table 7_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.doc by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Image 8_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.tif by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”