Length distribution and condition factors <i>K</i> of <i>E. erythropterus</i> (A) before and (B) after the NRE opening. by Jeong-Soo Gim (18058588)

Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and d... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II). by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the immuno-expressional level of NGF protein in maternal cerebellar tissue of different groups. by Amoura M. Abou-El-Naga (21001524)

“…Figs <b>(E & F):</b> Diabetic mothers have a significant decrease in the expression of NGF protein across all three layers of the cerebellar cortex. …”

Fig 6 - by Muhammad Naeem Sattar (19828497)

Fig 3 - by Muhammad Naeem Sattar (19828497)

Pupal duration of 3^rd instar and 5^th instar larvae of RPW after feeding on different dsRNAs. by Muhammad Naeem Sattar (19828497)

Adult emergence of 3^rd instar and 5^th instar of RPW after feeding on different dsRNAs. by Muhammad Naeem Sattar (19828497)

Differences in total Tau and p-Tau Thr231 following maternal Pg-OMV exposure. by Adrienne J. Bradley (20861948)

“…Data show mean + /- SEM.</p>…”

Boxplots display the median (as the central tendency) and the interquartile range (25th to 75th percentiles) as the bottom and top edges of the box. by Manal Ali Ahmad (16868808)

RT-qPCR evaluation of MYD88, NLRP3, and NFκβ in GA 18.5 pup brains. by Adrienne J. Bradley (20861948)

Trends of the temperature, precipitation, and TVDI in the Santun River Irrigation Area, Xinjiang, during 2005–2023. by Yuxin Wei (11510974)

Clinical characteristics. by Clemens Plattner (21567706)

“…Survival curves were estimated using the Kaplan-Meier plot and compared using the Log-rank test.</p><p>Results</p><p>Mean age at T2D diagnosis was significantly lower in the FHD group, while time to insulin initiation was independent from FHD status. …”

IRE1 depletion increases chromosome instability. by Iratxe Zuazo-Gaztelu (21071939)

Structure diagram of ensemble model. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Fitting formula parameter table. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Test plan. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Fitting surface parameters. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Model generalisation validation error analysis. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”