The novel heterometallic aggregates [Ag(8)Cu(2)(C(2)C(6)H(4)X)(6)(PPh(2)C(6)H(4)PPh(2))(6)][PF(6)](4) (X = H, 1; OMe, 2; NMe(2), 3) were prepared by the self-assembly reactions starting from simple precursors. These compounds consist of the central [Ag(6)Cu(2)(C(2)C(6)H(4)X)(6)](2+) clusters capped by two tripodal fragments [Ag(diphosphine)(3)](+). The solid state structures of complexes 1 and ...

The rates of polyadenylated messenger RNA and ribosomal RNA synthesis were measured in synchronously dividing cultures of fission yeast (Schizosaccharomyces pombe). Control asynchronous cultures, which had been exposed to the conditions used for preparing synchronous cultures, were investigated to check for effects of the synchronization procedure itself on RNA synthesis. After each period of D...

A new method is proposed to identify the location of transient events, including incipient faults, in power distribution systems, by using synchronized measurements from an emerging class sensors, called waveform measurement units (WMUs). WMUs capture voltage and current waveforms time domain. The consists three steps. first step characterize oscillatory modes components all captured WMUs, cond...

In the present work, an integrated method of pole shape design optimization for reduction of torque pulsation components in permanent magnet synchronous motors is developed. A progressive design process is presented to find feasible optimal shapes. This method is applied on the pole shape optimization of two prototype permanent magnet synchronous motors, i.e., 4-poles/6-slots and 4-poles-12slots.

Accurate and fast detection of faults is one the main concerns power systems for their operation productivity. In this paper, a robust dynamic fault filter presented synchronous generator (SG) characterized by highly non-linear model, having uncertainties perturbations both in state measurements. The so designed that residual signal against model uncertainties, process disturbances on hand sens...

A model-based process fault monitoring approach is proposed in this paper which utilizes a multi-sensor data fusion technique. The fusion algorithm is based on a discrete-time extended Kalman filter (EKF). The presented EKF is modified to incorporate the asynchronous sensor measurements. The resulting approach will be evaluated for a variety of conditions including synchronous/asynchronous meas...