PMC

Unadjusted and age-adjusted area under the curve for predicting a rapid decline in estimated glomerular filtration rate according to different vascular functional markers. AUC: areas under the curve, ROC: receiver operating characteristic curves, OR: odds ratio, 95% CI: 95% confidence interval. (a) The unadjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for ba-PWV: 0.589 (0.531–0.646; P = 0.003*). (b) The unadjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for PP: 0.585 (0.525–0.645; P = 0.005*). (c) The unadjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for SBP: 0.571 (0.512–0.630; P = 0.018*). (d) The unadjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for TBI: 0.542 (0.484–0.600; P = 0.160). (e) The age-adjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for ba-PWV: 0.586 (0.528–0.644; P = 0.004*). (f) The age-adjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for PP: 0.584 (0.524–0.644; P = 0.005*). (g) The age-adjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for SBP: 0.575 (0.518–0.632; P = 0.012*). (h) The age-adjusted AUC of ROC curve (95% CI; P) for predicting a rapid decline in eGFR for TBI: 0.555 (0.497–0.613; P = 0.067), *P < 0.05.

(a) The accuracy decline curve of different approaches with 5 images in each category. (b) The accuracy decline curve of different approaches with 10 images in each category. (c) The accuracy decline curve of different approaches with 20 images in each category. (d) The accuracy decline curve of different approaches with 50 images in each category. (e) The accuracy decline curve of different approaches with 100 images in each category. (f) The accuracy decline curve of different approaches with 200 images in each category.

Receiver operating characteristic curve for the use of nSOIT to predict significant cognitive decline (i.e., a decrease of three or more points in MoCA score over the evaluation period), including initial MoCA score and age as covariates.

(A) Milk production and (B) energy supply and requirements during the lactation cycle of 340 days. (A) The curve represents the milk yield per day of lactation and reaches a peak production around lactation days 40–50. Shortly before lactation and until peak production the udder and the alveolar system are highly developed. In later lactation the alveolar system regresses continuously until the end of lactation and into involution. (B) The blue curve represents the energy that is needed for milk production and maintenance of vital body functions. The energy needed for milk production is highest when milk production reaches a peak. At the same time the energy taken in through food (purple curve) cannot cover the energy requirements for milk production which leads to a loss in body energy stores (black curve). This imbalance in energy homeostasis changes with the decline of milk production in late lactation.