Daily behavior of three variables during cocoa fermentation in three processing plants in the department of Caquetá. by Andrés Felipe Ramírez González (19797070)

PCA projection of variables related to bromatological composition, polyphenol content, methylxanthines and antioxidant activity in cocoa beans fermented in different cocoa bean pro... by Andrés Felipe Ramírez González (19797070)

Effects of cell culture patterns on injury and inflammation induced by the S1 protein. by Yanru Liu (1662463)

Effects of S1 protein and exposure duration on co-cultures of HPAEpics and AMs. by Yanru Liu (1662463)

<i>Leptospira interrogans</i> from Okinawa induces epithelial barrier disruption with different kinetics. by Tetsuya Kakita (4922584)

Representative Western blots for proteins from specific gene groups, nitric oxide production, and NETs formation. by Daniel R. Ambruso (12042605)

Stress responses to different light colours. by Solène Guenat (12187937)

Fig 1 - by Ingmar Lundquist (46422)

PIK3C3 promotes <i>Listeria monocytogenes</i> cell-to-cell spread in Caco-2 cells. by Steven J. Rolland (21376879)

PIK3C3 promotes <i>Shigella flexneri</i> cell-to-cell spread in Caco-2 cells. by Steven J. Rolland (21376879)

DNM2 promotes <i>Shigella flexneri</i> cell-to-cell spread. by Steven J. Rolland (21376879)

The sexual stage phenotype of <i>pbpp6</i> gene knockout clones. by Yonghui Feng (12227596)

PbPP6 disruption impairs the cGMP-PKG-Ca²⁺ signaling pathway. by Yonghui Feng (12227596)

PIK3C3 promotes the resolution of VLPs into DMVs through formation of PtdIns(3)P at the protrusion/VLP membrane. by Steven J. Rolland (21376879)

PIK3C3 promotes <i>Listeria monocytogenes</i> cell-to-cell spread in HT-29 cells through DMV escape. by Steven J. Rolland (21376879)

Neutrophil Superoxide anion production, Heat map for gene expression from neutrophils of CGD patients, and PCA plot for genome-wide gene expression. by Daniel R. Ambruso (12042605)

“…Bars and brackets represent mean ± SEM with the number of patients studied below. …”

Microhardness vs. depth diagram of sample No. 6 ( by Van-Thuc Nguyen (19469762)

“…<div><p>This study investigates the effects of arc length, current intensity, travel speed, gas flow rate, and pulse time on surface hardness to better understand the arc quenching of S45C steel with a curved shape. …”

Fig 8 - by Shima Bahramizadeh-Sajadi (20391247)

“…Although ring category has a greater effect on these measures than the cross-sectional area, the area also affects the results: Increasing the cross-sectional area of the ring causes the cornea to flatten, resulting in a decrease in K_mean and axial length. The cornea also becomes thinner when larger rings are used and the contact pressure between the ring and the cornea increases. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

PIK3C3 promotes <i>Shigella flexneri</i> cell-to-cell spread through resolution of VLPs into DMVs. by Steven J. Rolland (21376879)