Components of geometric analogy solution

Geometric analogy solution was investigated as a function of systematic variations in the information structure of individual items. Latency data from the verification of true and false items indicated that individuals decompose figural patterns in a way that represents a sequential determination of the various elements that need to be isolated. They also appear to identify and evaluate the transformations applied to elements in a way that represents a sequential determination of the separate or successive transformations that fully specify an item rule. Analysis and evaluation of transformations took more time than element analysis and was the primary source of errors. The combined effects of element and transformation processing violated a simple additive model and the best fitting functions suggested that nonadditive increases in solution latency and error rates were due to working memory limitations associated with the representation and manipulation of item features at high levels of rule complexity. Correlational data also indicated that these factors partially account for individual differences in performance on psychometric tests. The latency and error data for true and false items are used to develop a general theoretical system that incorporates assumptions about the form of item representation, working memory factors, and processing components and strategies in analogical reasoning tasks.     

Ambivalenz weiterschreiben

The history of the term ambivalence documents over the last 100 years a growing diversity of meanings and applications. It suggests the understanding of the term as a ??sensitizing construct??. This view allows the formulation of an open definition which considers the interplay of different constitutional elements, namely polarization and difference, oscillation, search for meaning and agency. These elements merge into a dynamic constitution of identity or the self. Such a view can be applied to different spheres of life and is useful in different disciplines as well as professions. Ultimately at stake is the problem of human subjectivity.     

System-Wide versus Component-Specific Trust Using Multiple Aids

Previous research in operator trust toward automated aids has focused primarily on single aids. The current study focuses on how operator trust is affected by the presence of multiple aids. Two competing theories of multiple-trust are presented. A component-specific trust theory predicts that operators will differentially place their trust in automated aids that vary in reliability. A system-wide trust theory predicts that operators will treat multiple imperfect aids as one “system” and merge their trust across aids despite differences in the aids’ reliability. A simulated flight task was used to test these theories, whereby operators performed a pursuit tracking task while concurrently monitoring multiple system gauges that were augmented with perfect or imperfect automated aids. The data revealed that a system-wide trust theory best predicted the data; operators merged their trust across both aids, behaving toward a perfectly reliable aid in the same manner as they did towards unreliable aids.     

Space coding for sensorimotor transformations can emerge through unsupervised learning

The posterior parietal cortex (PPC) is fundamental for sensorimotor transformations because it combines multiple sensory inputs and posture signals into different spatial reference frames that drive motor programming. Here, we present a computational model mimicking the sensorimotor transformations occurring in the PPC. A recurrent neural network with one layer of hidden neurons (restricted Boltzmann machine) learned a stochastic generative model of the sensory data without supervision. After the unsupervised learning phase, the activity of the hidden neurons was used to compute a motor program (a population code on a bidimensional map) through a simple linear projection and delta rule learning. The average motor error, calculated as the difference between the expected and the computed output, was less than 3°. Importantly, analyses of the hidden neurons revealed gain-modulated visual receptive fields, thereby showing that space coding for sensorimotor transformations similar to that observed in the PPC can emerge through unsupervised learning. These results suggest that gain modulation is an efficient coding strategy to integrate visual and postural information toward the generation of motor commands.     

Scholars’ preferred solutions for research misconduct: results from a survey of faculty members at America’s top 100 research universities

Research misconduct is harmful because it threatens public health and public safety, and also undermines public confidence in science. Efforts to eradicate ongoing and prevent future misconduct are numerous and varied, yet the question of “what works” remains largely unanswered. To shed light on this issue, this study used data from both mail and online surveys administered to a stratified random sample of tenured and tenure-track faculty members (N = 613) in the social, natural, and applied sciences at America’s top 100 research universities. Participants were asked to gauge the effectiveness of various intervention strategies: formal sanctions (professional and legal), informal sanctions (peers), prevention efforts (ethics and professional training), and reducing the pressures associated with working in research-intensive units. Results indicated that (1) formal sanctions received the highest level of support, (2) female scholars and researchers working in the applied sciences favored formal sanctions, and (3) a nontrivial portion of the sample supported an integrated approach that combined elements of different strategies. A key takeaway for university administrators is that a multifaceted approach to dealing with the problem of research misconduct, which prominently features enhanced formal sanctions, will be met with the support of university faculty.     

The coupled effect of grain size and solute on work hardening of Cu–Ni alloys

A modified grain size-dependent model developed to capture the combined effects of solute and grain size on the work hardening behaviour of fine-grained Cu–Ni alloys is provided. This work builds on a recent model that attributes the grain size-dependent work hardening of fine-grained Cu to backstresses. In the case of Cu–Ni alloys, unlike commercially pure Cu, a grain size-dependent separation between the Kocks–Mecking curves develops, this being explained here based on an extra contribution from geometrically necessary dislocations in the solid solution alloy. This is corroborated by strain-rate sensitivity experiments.     

Common mechanisms in apparent motion perception and visual pattern matching

There are close functional similarities between apparent motion perception and visual pattern matching. In particular, striking functional similarities have been demonstrated between perception of rigid objects in apparent motion and purely mental transformations of visual size and orientation used in comparisons of objects with respect to shape but regardless of size and orientation. In both cases, psychophysical data suggest that differences in visual size are resolved as differences in depth, such that transformation of size is done by translation in depth. Furthermore, the process of perceived or imagined translation appears to be stepwise additive such that a translation over a long distance consists of a sequence of smaller translations, the durations of these steps being additive. Both perceived and imagined rotation also appear to be stepwise additive, and combined transformations of size and orientation appear to be done by alternation of small steps of pure translation and small steps of pure rotation. The functional similarities suggest that common mechanisms underlie perception of apparent motion and purely mental transformations. In line with this suggestion, functional brain imaging has isolated neural structures in motion area MT used in mental transformation of size.     

Does the Higgs Mechanism Exist?

This paper explores the argument structure of the concept of spontaneous symmetry breaking in the electroweak gauge theory of the Standard Model: the so‐called Higgs mechanism. As commonly understood, the Higgs argument is designed to introduce the masses of the gauge bosons by a spontaneous breaking of the gauge symmetry of an additional field, the Higgs field. The technical derivation of the Higgs mechanism, however, consists in a mere reshuffling of degrees of freedom by transforming the Higgs Lagrangian in a gauge‐invariant manner. This already raises serious doubts about the adequacy of the entire manoeuvre. It will be shown that no straightforward ontic interpretation of the Higgs mechanism is tenable, since gauge transformations possess no real instantiations. In addition, the explanatory value of the Higgs argument will be critically examined.     

Applications of ERP and fMRI techniques to developmental science

Event‐related potentials (ERPs) and functional magnetic resonance imaging are both measures of functional brain activation that have been applied to developmental questions. However, the two measures are not identical and reflect different aspects of neuronal function at a physiological level. There is increasing interest in using these methods in combination because of the complementary information they provide about brain activation. ERPs provide more detailed information about the timing of neural activity, while fMRI provides more detailed information about its spatial location. Thus, their combined use may provide more detailed spatio‐temporal information than either method alone. In this paper, we review the basic principles of ERP and fMRI and present selected studies from our own work to illustrate their strengths for studies of development. In addition, we discuss the potential benefits and special challenges of the combined use of electrophysiological and functional MRI techniques.     

Structured latent curve models for the study of change in multivariate repeated measures

This article considers a structured latent curve model for multiple repeated measures. In a structured latent curve model, a smooth nonlinear function characterizes the mean response. A first-order Taylor polynomial taken with regard to the mean function defines elements of a restricted factor matrix that may include parameters that enter nonlinearly. Similar to factor scores, random coefficients are combined with the factor matrix to produce individual latent curves that need not follow the same form as the mean curve. Here the associations between change characteristics in multiple repeated measures are studied. A factor analysis model for covariates is included as a means of relating latent covariates to the factors characterizing change in different repeated measures. An example is provided.     

Socratic Trees

The method of Socratic proofs (SP-method) simulates the solving of logical problem by pure questioning. An outcome of an application of the SP-method is a sequence of questions, called a Socratic transformation. Our aim is to give a method of translation of Socratic transformations into trees. We address this issue both conceptually and by providing certain algorithms. We show that the trees which correspond to successful Socratic transformations—that is, to Socratic proofs—may be regarded, after a slight modification, as Gentzen-style proofs. Thus proof-search for some Gentzen-style calculi can be performed by means of the SP-method. At the same time the method seems promising as a foundation for automated deduction.     

Transforming curves into curves with the same shape

Curves are considered to have the same shape when they are related by a similarity transformation of a certain kind. This paper extends earlier work on parallel curves to curves with the same shape. Some examples are given more or less explicitly. A generalization is used to show that the theory is ordinal and to show how the theory may be applied to measure sensation. The problem of actually transforming curves into curves with the same shape is reduced to the problem of rendering another set of curves parallel. Connections with groups and rings are developed to place the work in a familiar context. These connections and the earlier work on parallel curves are used to obtain necessary and sufficient conditions for the existence of transformations, to study the uniqueness of transformations and to show how transformations can be calculated.     

Procrustean analysis of matrices with different row order

Procrustean analysis is extended here to the case where matrices have different row order. Using a definition system in the sense of facet theory, fitting transformations are determined for the set of centroids that represent common substantive equivalence classes of all or some matrices. The resulting operators are used to transform the original matrices. An index, δ, which is consistent with this approach expresses the goodness of fit.