Abstract: A prober controlling device for bringing probe needles into contact with semiconductor chips, includes an input data acquiring unit configured to acquire input data including temperature data of at least one of a probe card and a card holder, a predicting unit configured to predict a position of a tip end of a probe needle based on the input data acquired by the input data acquiring unit, using a prediction model that receives input of the input data and outputs the position of the tip end of the probe needle, and a determining unit configured to determine whether or not to execute prediction by the predicting unit, based on input data used as teacher data for machine learning of the prediction model and the input data acquired by the input data acquiring unit, before the prediction by the predicting unit.

Abstract: A vacuum valve includes a structure having: a container in which a fixed-side end plate and a movable-side end plate are fixed to both ends of an insulation cylinder; and an arc shield at an intermediate portion of the insulation cylinder. The vacuum valve includes: a voltage nonlinear resistance layer containing particles having a voltage nonlinear resistance characteristic at at least either one of an outer creepage surface or an inner creepage surface of the insulation cylinder. A filling rate of the particles in the voltage nonlinear resistance layer has a distribution along a film thickness direction, and a filling rate of the particles in an outermost layer is not greater than half of an average filling rate of the particles in an entirety of the voltage nonlinear resistance layer.

Abstract: A prober controlling device for bringing probe needles into contact with semiconductor chips, includes an input data acquiring unit configured to acquire input data including temperature data of at least one of a probe card and a card holder, a predicting unit configured to predict a position of a tip end of a probe needle based on the input data acquired by the input data acquiring unit, using a prediction model that receives input of the input data and outputs the position of the tip end of the probe needle, and a determining unit configured to determine whether or not to execute prediction by the predicting unit, based on input data used as teacher data for machine learning of the prediction model and the input data acquired by the input data acquiring unit, before the prediction by the predicting unit.

Abstract: A radical scavenger in accordance with the present invention comprises, as an effective ingredient, a phenylenediamine derivative or a pharmacologically acceptable salt thereof expressed by the following formula 1: ##STR1## wherein R.sub.1 represents a lower alkyl group; and each of R.sub.2 and R.sub.3 represents a hydrogen atom, an alkyl group having 1-10 carbon atoms, an alkenyl group having 1-10 carbon atoms, or benzyl group.The phenylenediamine derivative above mentioned, as a radical scavenger, has a lipid peroxidation inhibitory activity so as to be available for inhibiting brain infarction or brain edema.

Abstract: A pyrazolidine derivative or a salt thereof in accordance with the present invention is expressed by the following formula 1: ##STR1## wherein A represents a group expressed by --CH.sub.2 --, --CO--, --CS--, --CH.sub.2 CO--, or --CH.dbd.CH--CO--; B represents a group expressed by --O-- or --NH--; n is an integer of 1 or 2; R represents an alkenyl group; and R.sub.1 and R.sub.2 represent a lower alkyl or benzyl group.The pyrazolidine derivative above mentioned, as a radical scavenger, has antioxidant effect and lipid peroxidation inhibitory activity so as to be available for inhibiting brain infarction or brain edema.