Abstract Protection of transmission lines is the most important defense against faults in multi-terminal HVDC system. Up until now, no single protection can balance operation speed and sensitivity needed for all fault types. To solve this problem, a novel current differential line proposed paper. The intrinsic properties are analyzed first. Then, essence ideal revealed fundamental relations bet...

In an increasingly digital world, our social interactions are moving online. Differential association and learning theories suggest that we learn both moral definitions the how-to of crime from those associate with. this paper examine whether online or offline leads to more self-disclosed forms cyber-offending. Using a national sample 1,109 participants, find important correlates addition, pred...

Over the last two decades, classical Schwarz methods have been extended to systems of hyperbolic partial differential equations, and it was observed that the classical Schwarz method can be convergent even without overlap in certain cases. This is in strong contrast to the behavior of classical Schwarz methods applied to elliptic problems, for which overlap is essential for convergence. Over th...

Transmission lines are affected by the natural environment for a long time, and bolts prone to frequent vibration, resulting in loosening or falling off. In this paper, loose mechanism of transmission line threaded connection is analysed, transverse vibration comparative test bolt locking method carried out. A new type nut has been developed, which good performance convenient installation. Acco...

The transmission of traits across generations has typically been attributed to the inheritance by offspring of genomic information from parental generations. However, recent evidence suggests that epigenetic mechanisms are capable of mediating this type of transmission. In the case of maternal care, there is evidence for the behavioral transmission of postpartum behavior from mothers to female ...

We investigate how various inhomogeneities present in synapses and neurons affect the performance of feedforward associative memories with linear learning, a high-level network model of hippocampal circuitry and plasticity. The inhomogeneities incorporated into the model are differential input attenuation, stochastic synaptic transmission, and memories learned with varying intensity. For a clas...