678,501 research outputs found

    English Syntax I

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    This paper focuses on the description of several controversial properties of Negative Inversion (NI) in Standard English. The first topic is the fact that, according to some scholars, subject-auxiliary (subj-aux) inversion when there is preposed negative element is sometimes optional. Scholars agree that subject-auxiliary inversion is compulsory whenever the fronted negative element is an adjunct, but they differ when taking complements into account. Some state that subject-auxiliary (subj-aux) inversion is optional when the fronted negative element is a complement. However, others consider subject-auxiliary inversion to be compulsory all the time. In this paper I show that it is true that subject-auxiliary inversion is optional when the fronted negative element is a complement, as all the speakers asked accept non-inversion, and only half of them accept inversion in such environment. The next topic is whether NI behaves as a Root Phenomenon (RT) or not. Some scholars have stated that NI is in fact a RT, however, by analysing and comparing the environments where RTs and NI can appear, I get to the conclusion that, unlike Topicalization or Focalization (which are also considered RTs), NI does not follow all the requirements to be considered a RT. The last topic is the classification of Only Inversion as a subtype of NI, which I believe not to be accurate, as there are many differences between both phenomena, as the optionality of inversion and their monotonicity. I have approached all these topics from an empirical point of view, comparing what has been previously said in the literature with native English speakers’ grammaticality judgements gathered by an online survey, with the aim of getting clearer results. Keywords: Negative Inversion, Negative Preposing, Negative Constituent Preposing, Negative Adverbials, Interrogative Inversion, Subject-auxiliary inversion, Wh- questions, Focus Preposing, Topicalization, Only Inversion, Only Preposing, Only fronting, Root Phenomena

    External Inversion, Internal Inversion, and Reflection Invariance

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    Having in mind that physical systems have different levels of structure we develop the concept of external, internal and total improper Lorentz transformation (space inversion and time reversal). A particle obtained from the ordinary one by the application of internal space inversion or time reversal is generally a different particle. From this point of view the intrinsic parity of a nuclear particle (`elementary particle') is in fact the external intrinsic parity, if we take into account the internal structure of a particle. We show that non-conservation of the external parity does not necessarily imply non-invariance of nature under space inversion. The conventional theory of beta-decay can be corrected by including the internal degrees of freedom to become invariant under total space inversion, though not under the external one.Comment: 15 pages. An early proposal of "mirror matter", published in 1974. This is an exact copy of the published paper. I am posting it here because of the increasing interest in the "exact parity models" and its experimental consequence

    Towards 3D joint inversion of full tensor gravity, magnetotelluric and seismic refraction data

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    EGU2010-4184-2 Joint inversion of different datasets is emerging as an important tool to enhance resolution and decrease inversion artifacts in structurally complex areas. Performing the inversion in 3D allows us to investigate such complex structures but requires computationally efficient forward modeling and inversion methods. Furthermore we should be able to flexibly change inversion parameters, coupling approaches and forward modeling schemes in order to find a suitable approach for the given target. We present a 3D joint inversion framework for scalar and full tensor gravity, magnetotelluric and seismic data that allows us to investigate different approaches. It consists of two memory efficient gradient based optimization techniques, L-BFGS and NLCG, and optimized parallel forward solvers for the different datasets. In addition it provides the necessary flexibility in terms of model parametrization and coupling method by completely separating the inversion parameters and geometry from the parametrization of the individual method. This separation allows us to easily switch between completely different types of parameterizations and use structural coupling as well as coupling based on parameter relationships for the joint inversion. First tests on synthetic data with a fixed parameter relationship coupling show promising results and demonstrate that 3D joint inversion is becoming feasible for realistic size models

    Inversion of Parahermitian matrices

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    Parahermitian matrices arise in broadband multiple-input multiple-output (MIMO) systems or array processing, and require inversion in some instances. In this paper, we apply a polynomial eigenvalue decomposition obtained by the sequential best rotation algorithm to decompose a parahermitian matrix into a product of two paraunitary, i.e.lossless and easily invertible matrices, and a diagonal polynomial matrix. The inversion of the overall parahermitian matrix therefore reduces to the inversion of auto-correlation sequences in this diagonal matrix. We investigate a number of different approaches to obtain this inversion, and and assessment of the numerical stability and complexity of the inversion process

    Inversion improves the recognition of facial expression in thatcherized images

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    The Thatcher illusion provides a compelling example of the face inversion effect. However, the marked effect of inversion in the Thatcher illusion contrasts to other studies that report only a small effect of inversion on the recognition of facial expressions. To address this discrepancy, we compared the effects of inversion and thatcherization on the recognition of facial expressions. We found that inversion of normal faces caused only a small reduction in the recognition of facial expressions. In contrast, local inversion of facial features in upright thatcherized faces resulted in a much larger reduction in the recognition of facial expressions. Paradoxically, inversion of thatcherized faces caused a relative increase in the recognition of facial expressions. Together, these results suggest that different processes explain the effects of inversion on the recognition of facial expressions and on the perception of the Thatcher illusion. The grotesque perception of thatcherized images is based on a more orientation-sensitive representation of the face. In contrast, the recognition of facial expression is dependent on a more orientation-insensitive representation. A similar pattern of results was evident when only the mouth or eye region was visible. These findings demonstrate that a key component of the Thatcher illusion is to be found in orientation-specific encoding of the features of the face

    Patterns in Inversion Sequences I

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    Permutations that avoid given patterns have been studied in great depth for their connections to other fields of mathematics, computer science, and biology. From a combinatorial perspective, permutation patterns have served as a unifying interpretation that relates a vast array of combinatorial structures. In this paper, we introduce the notion of patterns in inversion sequences. A sequence (e1,e2,,en)(e_1,e_2,\ldots,e_n) is an inversion sequence if 0ei<i0 \leq e_i<i for all i[n]i \in [n]. Inversion sequences of length nn are in bijection with permutations of length nn; an inversion sequence can be obtained from any permutation π=π1π2πn\pi=\pi_1\pi_2\ldots \pi_n by setting ei={j  jπi}e_i = |\{j \ | \ j \pi_i \}|. This correspondence makes it a natural extension to study patterns in inversion sequences much in the same way that patterns have been studied in permutations. This paper, the first of two on patterns in inversion sequences, focuses on the enumeration of inversion sequences that avoid words of length three. Our results connect patterns in inversion sequences to a number of well-known numerical sequences including Fibonacci numbers, Bell numbers, Schr\"oder numbers, and Euler up/down numbers
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