We investigate design principles of linear multi-stage phosphorylation cascades by using quantitative measures for signaling time, signal duration and signal amplitude. We compare alternative pathway structures by varying the number of phosphorylations and the length of the cascade. We show that a model for a weakly activated pathway does not reflect the biological context well, unless it is re...

fresh juices of colourful wild berries: cornelian cherry, blackthorn, white beam and elderberry are considered as valuable, highly nutritive beverages and characterized by the high level of vitamins and antioxidant capacity. the concentration process of these juices by membrane osmotic distillation was studied, where only water vapour is eliminated, while the heat sensitive, valuable compounds ...

The harmonic generation process in a harmonic cascade (HC) FEL is subject to noise degradation which is proportional to the square of the total harmonic order. In this paper, we study the shot noise evolution in the first-stage modulator and radiator of a HC FEL that produces the dominant noise contributions. We derive the effective input noise for a modulator operating in the low-gain regime, ...

This paper proposes a high-performance framework for accurate multi-stage object detection in low-altitude based UAV images. The proposed system employs cascade style architecture with increasing thresholds achieving detection. makes use of highly efficient Feature Pyramid Networks (FPNs) to detect objects small sizes, and various scales which are the main challenge aerial FPNs aim resolve scal...

We present a tool, called Cascade, to check assertions in C programs as part of a multi-stage verification strategy. Cascade takes as input a C program and a control file (the output of an earlier stage) that specifies one or more assertions to be checked together with (optionally) some restrictions on program behaviors. For each assertion, Cascade produces either a concrete trace violating the...

In this paper, we propose a cascade classifier for high-performance on-road vehicle detection. The proposed system deliberately selects constituent weak classifiers that are expected to show good performance in real detection environments. The weak classifiers selected at a cascade stage using AdaBoost are assessed for their effectiveness in vehicle detection. By applying the selected weak clas...