In this updated and expanded version of our delayed Comment we show that the np backward cross section, as presented by the Uppsala group[1], is seriously flawed (more than 25 sd.). The main reason is the incorrect normalization of the data. We also show that their extrapolation method, used to determine the charged πNN coupling constant, is a factor of about 10 less accurate than claimed by Er...

Optical spectra are typically normalized per unit wavelength or per unit photon energy, yielding two different expressions or curves. It is advantageous instead to normalize a spectrum to a constant fractional bandwidth, providing a unique expression independent of whether the bandwidth is in dimensions of wavelength or of photon energy. For the Sun, whereas a per-unit-wavelength spectrum peaks...

Relative dimensions of isotypic components of N–th order tensor representations of the symmetric group on n letters give a Plancherel– type measure on the space of Young diagrams with n cells and at most N rows. It was conjectured by G. Olshanski that dimensions of isotypic components of tensor representations of finite symmetric groups, after appropriate normalization, converge to a constant w...

Normalization as a layer within neural networks has over the years demonstrated its effectiveness in network optimization across wide range of different tasks, with one most successful approaches being that batch normalization. The consensus is better estimates BatchNorm normalization statistics (μ and σ2) each mini-batch result optimization. In this work, we challenge belief experiment new var...

In this study, we investigated the effects of changes in formant structure of externally presented speech signals on participants’ auditory perception of their own speech output (i.e., feedback) during a word production task. The study involved a novel combination of two previously established research paradigms: (1) sensorimotor adaptation to altered auditory feedback during speech, and (2) ex...

In metabolic scaling theory the size-dependence of plant processes is described by a power function of form Y=Y o M (θ) where Y is a characteristic such as plant productivity that changes with plant size (M) raised to the θ (th) power and Y o is a normalization constant that adjusts the general relationship across environments and species. In essence, the theory considers that the value of θ ar...

Allometric equations are widely used in many branches of biological science. The potential information content of the normalization constant b in allometric equations of the form Y = bX(a) has, however, remained largely neglected. To demonstrate the potential for utilizing this information, I generated a large number of artificial datasets that resembled those that are frequently encountered in...

To efficiently drive many behaviors, sensory systems have to integrate the activity of large neuronal populations within a limited time window. These populations need to rapidly achieve a robust representation of the input image, probably through canonical computations such as divisive normalization. However, little is known about the dynamics of the corticocortical interactions implementing th...