Distribution of regions in which total blood flow, wall shear stress and pressures are below a 5% (dark green), 10% (medium green), and 15% (light green) change in the whole fetal... by Inmaculada Villanueva-Baxarias (21454246)

Physiological regions considering ventricular depth variations. by Inmaculada Villanueva-Baxarias (21454246)

Analysis of DCX⁺ cells showing migratory morphology (cells with small, oval/fusiform cell soma – less than 9 µm – and an unbranched leading process) in the amygdala of a... by Marco Ghibaudi (16701750)

Occurrence of subcortical immature neurons (scINs) in the amygdala of mouse and primates: relationship with evolution of subnuclei scaling and cortical connectomics. by Marco Ghibaudi (16701750)

Image 1_Snowmelt seepage fluxes of dissolved organic matter in forest and grassland – a molecular-level case study from the Hainich Critical Zone Exploratory, Germany.pdf by Chen Huang (202847)

“…Increasing variability of the European hydroclimate is expected to lead to more frequent intermittent warm periods, which cause snowmelt during winter and rapidly mobilize large amounts of dissolved organic matter (DOM). This study, conducted at the Hainich Critical Zone Exploratory in Germany, seeks to address a significant gap in understanding the molecular impacts of snowmelt-induced DOM flows and their ability to alter soil ecosystems rapidly. …”

Figure 5 from Functional Profiling of p53 and RB Cell Cycle Regulatory Proficiency Suggests Mechanism-Driven Molecular Stratification in Endometrial Carcinoma by Zelei Yang (18491142)

“…Shown here are representative PI profile plots from analysis of the PI data alone for the percentage of cells with a specific DNA content from one of three independent replicates for each cell line. A line marking 2N, 4N, and greater than 4N (>4N) DNA content is shown on the top of the HEC1B plot. …”

Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

“…J-L: Increasing unique alternative observation (UAO) thresholds for variant calls increased detection rate of rare variants (J), but markedly decreased the number of variants passing the threshold (K) and therefore reduced detection of true positive variants in reference standards (L). …”