The Efficient Preparation of Normal Distributions in Quantum Registers

The efficient preparation of input distributions is an important problem in obtaining quantum advantage in a wide range of domains. We propose a novel quantum algorithm for the efficient preparation of arbitrary normal distributions in quantum registers. To the best of our knowledge, our work is the first to leverage the power of Mid-Circuit Measurement and Reuse (MCMR), in a way that is broadly applicable to a range of state-preparation problems. Specifically, our algorithm employs a repeat-until-success scheme, and only requires a constant-bounded number of repetitions in expectation. In the experiments presented, the use of MCMR enables up to a 862.6x reduction in required qubits. Furthermore, the algorithm is provably resistant to both phase-flip and bit-flip errors, leading to a first-of-its-kind empirical demonstration on real quantum hardware, the MCMR-enabled Honeywell System Models H0 and H1-2.

The Piggy in the Middle

Researchers are becoming cognizant of the value of conducting predictive analysis using partial least squares structural equation modeling (PLS-SEM) for both the evaluation of overfit and to illustrate the practical value of models. Mediators are a popular mechanism for adding nuance and greater explanatory power to causal models. However, mediators pose a special challenge to generating predictions as they serve a dual role of antecedent and outcome. Solutions for generating predictions from mediated PLS-SEM models have not been suitably explored or documented, nor has there been exploration of whether the added model complexity of such mediators is justified in the light of predictive performance. We address that gap by evaluating methods for generating predictions from mediated models, and propose a simple metric that quantifies the predictive contribution of the mediator (PCM). We conduct Monte Carlo simulations and then apply the methods in an empirical demonstration. We find that there is no simple best solution, but that all three approaches have strengths and weaknesses. Further, the PCM metric performs well to quantify the predictive qualities of the mediator over-and-above the non-mediated alternative. We present guidelines on selecting the most appropriate method and applying PCM for additional evidence to support research conclusions.

Ethics Position and Leadership Style in a Mayor’s Office

Introduction: Recent cases of unethical behavior in organizations indicate the need to carry out empirical research about it. Objective: Determine the existence of a relationship between ethics and leadership, demanded by society and prescribed by various academic theories. Method: For this reason, through the conduction of non-experimental, cross-sectional, quantitative research, it is sought to make a process of falsification of the theoretical proposals in the context of a municipal mayoralty. In the development of the research, the responses of 219 leaders were satisfactorily received, answering questions from two psychometric instruments of wide recognition and academic validity, the Ethics Position Questionnaire and the Multifactor Leadership Questionnaire. They were carried out both through an exploratory data analysis and a confirmatory factor analysis, and a model of structural equations that tested the existence of a relation between the ethical position and the styles of leadership. Results: It was also possible to identify the influence exerted by the different ethical positions in each one of the styles of leadership in a local public administration. Conclusions: These findings facilitate the identification of ethical leadership models in local public organizations and contribute towards the empirical demonstration of the current discussion on the relationship between ethics and leadership in organizations.

Applied Usage and Performance of Statistical Matching in Bibliometrics: The Comparison of Milestone and Regular Papers With Multiple Measurements of Disruptiveness as an Empirical Example

Controlling for confounding factors is one of the central aspects of quantitative research. While methods like linear regression models are common, their results can be misleading under certain conditions. We demonstrate how statistical matching can be utilized as an alternative that enables the inspection of post-matching balancing. This contribution serves as an empirical demonstration of matching in bibliometrics and discusses advantages and potential pitfalls. We propose matching as an easy-to-use approach in bibliometrics to estimate effects and remove bias. To exemplify matching, we use data about papers published in Physical Review E and a selection classified as milestone papers. We analyze whether milestone papers score higher in terms of a proposed class of indicators for measuring disruptiveness than non-milestone papers. We consider disruption indicators DI1, DI5, DI1n, DI5n and DEP and test which of the disruption indicators performs best, based on the assumption that milestone papers should have higher disruption indicator values than non-milestone papers. Four matching algorithms (propensity score matching (PSM), coarsened exact matching (CEM), entropy balancing (EB) and inverse probability weighting (IPTW)) are compared. We find that CEM and EB perform best regarding covariate balancing and DI5 and DEP are well-performing to evaluate disruptiveness of published papers. Peer Review https://publons.com/publon/10.1162/qss_a_00158

Language in Economics and Accounting Research: The Role of Linguistic History

This paper investigates whether a consideration of linguistic history is important when studying the relationship between economic and linguistic behaviors. Several recent economic studies have suggested that differences between languages can affect the way people think and behave (linguistic relativity or Sapir–Whorf hypothesis). For example, the way a language obliges one to talk about the future might influence intertemporal decisions, such as a company’s earnings management. However, languages have historical relations that lead to shared features—they do not constitute independent observations. This can inflate correlations between variables if not dealt with appropriately (Galton’s problem). We discuss this problem and provide an overview of the latest methods to control linguistic history. We then provide an empirical demonstration of how Galton’s problem can bias results in an investigation of whether a company’s earnings management behavior is predicted by structural features of its employees’ language. We find a strong relationship when not controlling linguistic history, but the relationship disappears when controls are applied. In contrast, economic predictors of earnings management remain robust. Overall, our results suggest that careful consideration of linguistic history is important for distinguishing true causes from spurious correlations in economic behaviors.

The Scientometric Measurement of Interdisciplinarity and Diversity in the Research Portfolios of Chinese Universities

Purpose Interdisciplinarity is a hot topic in science and technology policy. However, the concept of interdisciplinarity is both abstract and complex, and therefore difficult to measure using a single indicator. A variety of metrics for measuring the diversity and interdisciplinarity of articles, journals, and fields have been proposed in the literature. In this article, we ask whether institutions can be ranked in terms of their (inter-)disciplinary diversity. Design/methodology/approach We developed a software application (interd_vb.exe) that outputs the values of relevant diversity indicators for any document set or network structure. The software is made available, free to the public, online. The indicators it considers include the advanced diversity indicators Rao-Stirling (RS) diversity and DIV*, as well as standard measures of diversity, such as the Gini coefficient, Shannon entropy, and the Simpson Index. As an empirical demonstration of how the application works, we compared the research portfolios of 42 “Double First-Class” Chinese universities across Web of Science Subject Categories (WCs). Findings The empirical results suggest that DIV* provides results that are more in line with one's intuitive impressions than RS, particularly when the results are based on sample-dependent disparity measures. Furthermore, the scores for diversity are more consistent when based on a global disparity matrix than on a local map. Research limitations “Interdisciplinarity” can be operationalized as bibliographic coupling among (sets of) documents with references to disciplines. At the institutional level, however, diversity may also indicate comprehensiveness. Unlike impact (e.g. citation), diversity and interdisciplinarity are context-specific and therefore provide a second dimension to the evaluation. Policy or practical implications Operationalization and quantification make it necessary for analysts to make their choices and options clear. Although the equations used to calculate diversity are often mathematically transparent, the specification in terms of computer code helps the analyst to further precision in decisions. Although diversity is not necessarily a goal of universities, a high diversity score may inform potential policies concerning interdisciplinarity at the university level. Originality/value This article introduces a non-commercial online application to the public domain that allows researchers and policy analysts to measure “diversity” and “interdisciplinarity” using the various indicators as encompassing as possible for any document set or network structure (e.g. a network of co-authors). Insofar as we know, such a professional computing tool for evaluating data sets using diversity indicators has not yet been made available online.

An empirical demonstration of the effect of study design on density estimations

The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating $$\sigma$$ σ . On the other hand, larger trapping array with fewer detectors and poor design induces uncertainties in the estimates. We conclude that existing design recommendations have limited utility on practical grounds for devising feasible sampling designs for large ranging species, and more research on SCR designs is required that allows for integrating biological and habitat traits of large carnivores in sampling framework. We also suggest that caution should be exercised when there is a reliance on convenience sampling.

A Dynamic Factor and Neural Networks Analysis of the Co-movement of Public Revenues in the EMU

This paper shows that the co-movement of public revenues in the European Monetary Union (EMU) is driven by an unobserved common factor. Our empirical analysis uses yearly data covering the period 1970–2014 for 12 selected EMU member countries. We have found that this common component has a significant impact on public revenues in the majority of the countries. We highlight this common pattern in a dynamic factor model (DFM). Since this factor is unobservable, it is difficult to agree on what it represents. We argue that the latent factor that emerges from the two different empirical approaches used might have a composite nature, being the result of both the more general convergence of the economic cycles of the countries in the area and the increasingly better tuned tax structure. However, the original aspect of our paper is the use of a back-propagation neural networks (BPNN)-DF model to test the results of the time-series. At the level of computer programming, the results obtained represent the first empirical demonstration of the latent factor’s presence.

GÉNERO, INVESTIGAÇÃO E ENSINO SUPERIOR

Matters related to time, academia and science are increasingly on the agenda. The current moment of pandemic crisis demonstrates the relevance and attention that needs to be paid to gender inequalities that present themselves in several dimensions of social life and that affect people's social trajectories. The preparation of this issue of BRAJETS journal was motivated by this attempt to give voice to studies carried out on the theme of gender and academia, which, along with the empirical demonstration, present ideas and policy recommendations that promote reflexivity on gender inequalities and alert for some specific intervention measures in the context of higher education and research institutions worldwide. The texts reunited in this issue have elucidate more concretely what is the reality in different political and social settings, including European and Latin American countries and allowing comparisons at an international and, somehow, global level.

Constituting agency in the delivery of telephone-mediated victim support

© 2020, © 2020 Taylor & Francis. In telephone helpline interactions, a practical problem for participants is how to advance a relevant course of action about what can be done within the institution’s remit that may not be what a caller asks for or needs. This study investigates how call-takers progress delivering support for callers ringing a service for victims of crime and trauma. It focuses on how actions are advanced by the call-taker using linguistic formats that can be broadly characterised as directive-commissive speech acts. The research asks how agency is constituted through the linguistic format parties’ use to display what can be done and who decides. Using conversation analysis to examine 80 cases where the delivery of support is progressed, the results show that subtle morpho-syntactic variation in the format of interrogatives (i.e., ‘Did you want to,’ ‘Do you want to’) display orientations to who can do or decide upon a future course of action. Evidence is presented that the ‘did you form’ tilts the agency toward the Self as something she can progress whereas the ‘do you’ format tilts the balance toward the Other to decide. More obviously, the actions can be formulated in terms of the Self committing to an action (e.g., ‘I’ll pop you through’) or as clearly deferring to the Other to decide (e.g., ‘would you like me to’). This study furthers the general intellectual project of discursive psychology by providing an empirical demonstration of the way classic questions about the nature of subjectivity and individual agency can be re-specified as shared practices for accomplishing action in social interaction.