We present a minimal construction using leptonic portal matter that addresses the muon $g-2$ anomaly. While chiral enhancement mechanism is reminiscent of fermiophobic $Z'$ gauge models, parameter space motivated by kinetic mixing/vector dark model paradigm vastly different and can be readily explored in current forthcoming experiments.

We present a general theory to obtain linear network codes utilizing forms and obtain explicit families of equidimensional vector spaces, in which any pair of distinct vector spaces intersect in the same small dimension. The theory is inspired by the methods of the author utilizing the osculating spaces of Veronese varieties. Linear network coding transmits information in terms of a basis of a ...

In a series of papers, Quesne and Tkachuk (J. Phys. A: Math. Gen. 39, 10909 (2006); Czech. J. Phys. 56, 1269 (2006)) presented a D + 1-dimensional (β, β)-two-parameter Lorentz-covariant deformed algebra which leads to a nonzero minimal measurable length. In this paper, the Lagrangian formulation of electrodynamics in a 3+1-dimensional spacetime described by Quesne-Tkachuk algebra is studied in ...

The compatibility between general relativity and the property that spacetimes are ebeddable manifolds is further examined. It is shown that the signature of the embedding space is uniquely determined provided the embedding space is real and its dimension is kept to the minimal. Signature changes produce complex embeddings which in turn may induce topological changes in the space-time. Space-tim...

We consider the problem of computing a sequence range minimum queries. assume commands that contains values and Our goal is to quickly determine value exists between current position previous i . Range queries are used as sub-routine several algorithms, namely related string processing. propose data structure can process these command sequences. obtain efficient results for variations problem, ...

Abstract We present a new reorientation technique, “hyper-reoriented walking,” which greatly reduces the amount of physical space required in virtual reality (VR) applications asking participants to walk along grid-like path (such as most common layout department stores). In hyper-reoriented walking, users gridlines with speed twice real walking and perform turns at cross-points on grid half ro...

In this letter, we provide a study of learning in a Hilbert space of vectorvalued functions. We motivate the need for extending learning theory of scalar-valued functions by practical considerations and establish some basic results for learning vector-valued functions that should prove useful in applications. Specifically, we allow an output space Y to be a Hilbert space, and we consider a repr...