Analysis of Stability and Variability in Sensor Readings from a Vehicle Weigh-in-Motion Station.

This study presents a detailed analysis of the stability of weigh-in-motion sensors used at vehicle weighing stations. The objective of this research was a long-term assessment of reading variability, with a particular focus on the sensors' application in automated measurement stations. These investigations constitute a critical component of modern traffic management systems and vehicle overload control.

Strain Gauge Calibration for High Speed Weight-in-Motion Station.

The development of systems for weighing vehicles in motion aims to introduce systems allowing automatic enforcement of regulations. HSWIM (high speed weight-in-motion) systems enable measurement of a mass of vehicles passing through a measurement station without disturbing the traffic flow. This article focuses on the calibration of a weighing station for moving vehicles, where strain gauge sensors are used to measure pressures.

Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans.

Quantitative structure-activity relationships (QSAR) studies of antifungal activity against Candida albicans of a large series of new pyridine derivatives were conducted with the use of artificial neural networks (ANNs). The application of ANNs has been provided with respect to the prediction of antimicrobial potency of new pyridine derivatives based on their structural descriptors generated by calculation chemistry. Antifungal activity against C.