Participant contralateral and ipsilateral knee extensor force fatigue index following anodal transcranial direct current stimulation (a-tDCS) or sham tDCS (s-tDCS). by Ryan B. Savoury (14341520)

Impact of an Energy Drink on the Structure of Stomach and Pancreas of Albino Rat: Can Omega-3 Provide a Protection? - Fig 6 by Nasra Ayuob (2136355)

Intensive Glycemic Management is Associated with Reduced Retinal Structure Abnormalities on Ocular Coherence Tomography in the DCCT/EDIC Study by Barbara Blodi (12447275)

“…</p><p dir="ltr">CONCLUSIONS</p><p dir="ltr">Early intensive glycemic management in type 1 diabetes is associated with a decreased risk of DRIL. This important morphological abnormality was associated with a history of macular edema, a history of ocular surgery and worse visual acuity. …”

Realised travel speed as a function of body mass and locomotion mode as predicted by the <i>allometric heat-dissipation model</i>. by Alexander Dyer (15314519)

Sampled locations with banana in 2016. by Dennis Ochola (11626912)

Fig 3 - by Dennis Ochola (11626912)

Right side contains relative variable importance for all features used in the Random Forest, for both regression (red) and classification (blue) models, sorted by decreasing contri... by Adam Altmejd (8087234)

Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

Fig 6 - by Dennis Ochola (11626912)

Fig 9 - by Dennis Ochola (11626912)

Fig 7 - by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Fig 4 - by Dennis Ochola (11626912)

Fig 5 - by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Cross-sectional dependence results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Pesaran’s CADF test results for Model I. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Descriptive statistics of related variables. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”