Fig 8 - by Amisha Desai (12334310)

The gating strategy divides cell cycling into three phases. by Shuyan Sheng (12098234)

Subjects:

Within-woman Comparison of Breast Tenderness and Breast Size Change. Within-woman comparison of Breast Tenderness Intensity, Duration, Breast Tenderness Score, and Mean Change in B... by Mary Wood (3633919)

Subjects:

Cyclic stress ratio requires for reaching soil liquefaction after 8 cycles versus different soil specimens in CHCT. by Jungang Liu (9959965)

Proportion of T cells with Treg Phenotype increases from pre-infusion to day 7. by Jordan K. Abbott (8934239)

Subjects:

Reconstructing individual evolved mutations increases the fitness of the Rec8-expressing ancestor. by Yu-Ying Phoebe Hsieh (8556246)

Fig 8 - by Elmira Bagheri (20553110)

Using CycleGAN to train the apple mosaic disease process. by Lijun Gao (731501)

The values of PNSR, SSIM, and FID for the data generated by CycleGAN. by Lijun Gao (731501)

The annular area throughout the cardiac cycle in SR and AF. by Paulina Kania-Olejnik (19797617)

Regional cardiac strain changes during cardiac cycle. by Paulina Kania-Olejnik (19797617)

(a) Average Phase Angle and (b) Phase Locking Value, for the synchronization task with an isochronous pattern (1:1_ISO_SYNC), over the very first 8-beat cycle of taps or the two ne... by Anneke Slis (14564321)

Freeze-thaw cycle test loss of weight. by Huan Tao (2795458)

Cellular Ca cycling and contractions after long-term training. by Karin P. Hammer (10924846)

SEM image of the representative sample after pH cycling for 14 days. by Surapong Srisomboon (18599020)

Multi-scale attention mechanism improves the CycleGAN generator structure. by Lijun Gao (731501)

Fig 8 - by Yuan Yue (313562)

Technoeconomic and Life-Cycle Assessment for Electrocatalytic Production of Furandicarboxylic Acid by Poojan Patel (12134832)

Subjects:

Freeze-thaw cycle test loss of bearing capacity. by Huan Tao (2795458)

Some augmented samples through CycleGAN. by Shuvo Biswas (21728782)

“…The dataset was preprocessed and augmented using a cycle-consistent generative adversarial (CycleGAN) network to increase the volume of training data. …”