Forest plot for subgroups of analysis types. by Shangtian Wang (20933822)

Forest plot for subgroups of study types. by Shangtian Wang (20933822)

Chart illustrates the treated groups (BM-MSC1, BM-MSC2, AD-MSC1, AD-MSC2) increasing in cell viability over replicates, while the untreated groups (Un-BM1, Un-BM2, Un-AD1, Un-AD2)... by Alani Mohanad Khalid Ahmed (22693496)

Bar graphs showing the total loss rates and 95% confidence intervals for each region in Ethiopia, Kenya, and Benin. by Beatrice T. Nganso (4114768)

(a) Dimensionless diameter and (b) droplet generation frequency versus the magnet distance from the vertex of the hydrophilic surface for different ferrofluid injection rates and t... by Amirhossein Favakeh (21417884)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on Chlorophyll a (Chla), Chlorophyll B (Chlb), Carotenoi... by Amal Bouallegue (21512298)

Analysis of SAS, SDS, PSQI, and FertiQoL scores. by Nan Tang (642590)

Map with color coding showing the relative risk of loss at the regional level for each country in Sub-Saharan Africa. by Beatrice T. Nganso (4114768)

Pie charts showing the different patterns of risk factors associated with total colony losses. by Beatrice T. Nganso (4114768)

Estimated marginal mean (± SE) age group differences in the relative frequency of ball touches per minute, performed by professional soccer players on a match day for each position... by Emily Escreet (20552634)

Changes related to kidney staining in UUO mouse model. by Wencheng Jin (13136262)

Data Sheet 1_Regulation of SLC7A11 by LncRNA GPRC5D-AS1 mediates ferroptosis in skeletal muscle: Mechanistic exploration of sarcopenia.pdf by Wei Gong (112494)

“…In the sarcopenia group, both GPRC5D-AS1 and SLC7A11 expression levels decreased significantly, along with SLC7A11 protein translation. …”

Supplementary file 1_Regulation of SLC7A11 by LncRNA GPRC5D-AS1 mediates ferroptosis in skeletal muscle: Mechanistic exploration of sarcopenia.pdf by Wei Gong (112494)

“…In the sarcopenia group, both GPRC5D-AS1 and SLC7A11 expression levels decreased significantly, along with SLC7A11 protein translation. …”

Changes associated with kidney fibrosis in TGF- by Wencheng Jin (13136262)

Validation of MN705 treatment effects in human proximal tubular epithelial cells during TGF- by Wencheng Jin (13136262)

Effect of MN705 treatment on TGF- by Wencheng Jin (13136262)

Image 1_Iodine-131 induces ferroptosis and synergizes with sulfasalazine in differentiated thyroid cancer cells via suppressing SLC7A11.tif by Li Ling (424480)

“…Moreover, the combination of SAS and ¹³¹I significantly increased the MDA levels and lipid peroxidation, decreased the GSH levels, and suppressed the expression of SLC7A11 and GPX4, while SLC7A11 knockdown significantly enhanced ferroptosis-related markers in DTC cells. …”

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. …”

The screening process of MN705. by Wencheng Jin (13136262)

Changes associated with kidney fibrosis and effects of MN705 treatment on TGF- by Wencheng Jin (13136262)