Effects and Potential Risks of Chiral Penflufen on Pickled Cowpea: Combined Microbiome and Metabolomics by Chao Guo (163795)

“…<i>Rac</i>-penflufen treatment significantly decreased the relative abundance of <i>Lactiplantibacillus</i> while increasing <i>Weissella</i>, but the opposite effects were found in <i>R</i>- and <i>S</i>-penflufen treatments. …”

Spectral-domain optical coherence tomography (SD-OCT) images taken from a 72-year-old female patient with neovascular age-related macular degeneration (nAMD) who received ranibizum... by Zheyao Gu (20910794)

Multilayered Fabrication Containing Wind Turbine Blade Solid Wastes for High-Performance Composite Fibers by Varunkumar Thippanna (17960141)

“…The individual layer thickness in the multilayered PAN-GF fibers decreased progressively with an increasing number of layers, with 32-layered fibers exhibiting comparatively thicker layers, while 256-layered fibers demonstrated significantly thinner layers. …”

Overall program sustainability assessment results. by Amanda Marr Chung (21696743)

Participants demographic data. by Gabriela Garcia (119921)

“…A decrease in mean erector spinae activity was observed in males only. …”

Characteristics of water footprint by sector at the regional level in China. by Jianqin Ma (20328414)

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)

Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)

The influence of the smoothing parameter on prediction accuracy. by Sabine Haberland (22783613)

Raw data_clean. by Carlos Sepúlveda (15272797)

“…High levels of CRF are linked to better performance in sports and daily activities among children and adolescents. …”

Experimental design. by Carlos Sepúlveda (15272797)

“…High levels of CRF are linked to better performance in sports and daily activities among children and adolescents. …”

Characterization of the participants. by Carlos Sepúlveda (15272797)

“…High levels of CRF are linked to better performance in sports and daily activities among children and adolescents. …”

Global transcriptional analysis for activated gametocytes of Δ<i>pbpp6</i> parasites by RNA-seq. by Yonghui Feng (12227596)

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

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)

“…In contrast, results for subjects 08 and 09 demonstrate greater effects than the remainder of the patients in the cohort.…”

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. …”

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. …”

Changes in rumen fluid metabolites. by Shiqi Zhang (709298)

Month-by-Month Surveillance Method Performance. by Ariel Greiner (9986971)