3D plot of the spheres set approximating the pore space of the 3D binary image with centers located within the region bounded by [50,100] on the x-axis, [50,100] on the y-axis, and... by Mouad Klai (20818364)

Subjects:

Training History: The x-axis represents the number of epochs, and the y-axis represents the L2 error for the four selected data points. by Mouad Klai (20818364)

Subjects:

Microbial decomposition simulation: VGA-based simulation (solid lines), PNGM-based simulation calibrated by LBM-based simulation (dash-dotted lines), and PNGM-based simulation with... by Mouad Klai (20818364)

Subjects:

Change in influenza vaccination uptake from May 2020 to October 2024 (weighted). by Hannah Melchinger (20234665)

Subjects:

Comparison of diffusion simulation using the implicit and explicit schemes of the graph diffusion equation: the implicit scheme time step was set to 30 seconds, while the explicit... by Mouad Klai (20818364)

Subjects:

The compounds and processes involved within the microbial decomposition of organic matter in soil: DOM comes from the decomposition of SOM (slow decomposition) and FOM (fast decomp... by Mouad Klai (20818364)

Subjects:

Random cross-sections of the 3D binary image depicting pore space (black) and solid matrix (white). by Mouad Klai (20818364)

Subjects:

Proportional contribution (median [Mdn], standard deviation [SD], and 95% credible intervals [CI]) of prey groups to the diet of piscivorous fishes in <i>A</i>. <i>gigas</i> coloni... by Danny Rejas (583637)

Subjects:

Estimated niche width for 11 native fish species in <i>Arapaima gigas</i> colonized and non-colonized lakes. by Danny Rejas (583637)

Subjects:

Diffusion simulation comparison: VGA-based simulation (red curve), PNGM-based simulation calibrated by LBM-based simulation (green curve), and PNGM-based simulation with the approx... by Mouad Klai (20818364)

Subjects:

Voxel representation of a 3D binary image (left) and its corresponding graph of connected pore space voxels (right). by Mouad Klai (20818364)

Subjects:

Three-dimensional visualization of the binary image, illustrating the spatial distribution and morphology of two distinct phases within a cubic volume. The black regions represent... by Mouad Klai (20818364)

Subjects:

Significance analysis data. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on in the guaicaolperoxydase activity (GPOX) in shoots (... by Amal Bouallegue (21512298)

Subjects:

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on shoots (A) and roots (B) DW of lentil plants. by Amal Bouallegue (21512298)

Subjects:

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on the superoxide dismutase activity (SOD) in shoots (A)... by Amal Bouallegue (21512298)

Subjects:

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on malondialdehyde (MDA) level in shoots (A) and roots (... by Amal Bouallegue (21512298)

Subjects:

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on hydrogen peroxide (H₂O₂) conten... by Amal Bouallegue (21512298)

Subjects:

Demographic and ocular features. by Mingxi Shao (10066570)

“…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H₂O₂ with mean deviation values for the visual field (r = −0.412, p = 0.041). …”

Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H₂O₂ with mean deviation values for the visual field (r = −0.412, p = 0.041). …”