Parental Mediation of Cell Phone Use and Adolescent Autonomy

Adolescents’ cell phone use occurs during significant developmental shifts in parent–adolescent relationships, as adolescents’ drives for independence can conflict with parents’ desires for connection. This study examines parental mediation of cell phone use within an interpersonal and family communication framework. Previous mediation research has not examined connections with social penetration theory, uncertainty reduction theory, relational dialectics theory, and communication privacy management, each of which has conceptual links to parental mediation. Cell phone mediation reflects the broader phenomenon of disclosure in interpersonal relationships. The extent to which individuals disclose information is influenced by personal desires for autonomy and connection, privacy and intimacy, which are components of interpersonal and family communication theories. This study explores the notion that families develop norms and expectations about cell phones that might influence parental mediation. Results indicate that perceptions of parent–child relationships and family expectations for cell phone use both significantly influence mediation.

A New Formula for Calculating Uncertainty Distribution of Function of Uncertain Variables

As a mathematical tool to rationally handle degrees of belief in human beings, uncertainty theory has been widely applied in the research and development of various domains, including science and engineering. As a fundamental part of uncertainty theory, uncertainty distribution is the key approach in the characterization of an uncertain variable. This paper shows a new formula to calculate the uncertainty distribution of strictly monotone function of uncertain variables, which breaks the habitual thinking that only the former formula can be used. In particular, the new formula is symmetrical to the former formula, which shows that when it is too intricate to deal with a problem using the former formula, the problem can be observed from another perspective by using the new formula. New ideas may be obtained from the combination of uncertainty theory and symmetry.

Two-loop electroweak corrections to the Top-Quark Contribution to ϵK

The parameter ϵK measures CP violation in the neutral kaon system. It is a sensitive probe of new physics and plays a prominent role in the global fit of the Cabibbo-Kobabyashi-Maskawa matrix. The perturbative theory uncertainty is currently dominated by the top-quark contribution. Here, we present the calculation of the full two-loop electroweak corrections to the top-quark contribution to ϵK, including the resummation of QED-QCD logarithms. We discuss different renormalization prescriptions for the electroweak input parameters. In the traditional normalization of the weak Hamiltonian with two powers of the Fermi constant GF, the top-quark contribution is shifted by −1%.

Long-term cost-effectiveness of interventions for loss of electricity/industry compared to artificial general intelligence safety

Extreme solar storms, high-altitude electromagnetic pulses, and coordinated cyber attacks could disrupt regional/global electricity. Since electricity basically drives industry, industrial civilization could collapse without it. This could cause anthropological civilization (cities) to collapse, from which humanity might not recover, having long-term consequences. Previous work analyzed technical solutions to save nearly everyone despite industrial loss globally, including transition to animals powering farming and transportation. The present work estimates cost-effectiveness for the long-term future with a Monte Carlo (probabilistic) model. Model 1, partly based on a poll of Effective Altruism conference participants, finds a confidence that industrial loss preparation is more cost-effective than artificial general intelligence safety of ~ 88% and ~ 99+% for the 30 millionth dollar spent on industrial loss interventions and the margin now, respectively. Model 2 populated by one of the authors produces ~ 50% and ~ 99% confidence, respectively. These confidences are likely to be reduced by model and theory uncertainty, but the conclusion of industrial loss interventions being more cost-effective was robust to changing the most important 4–7 variables simultaneously to their pessimistic ends. Both cause areas save expected lives cheaply in the present generation and funding to preparation for industrial loss is particularly urgent.

Uncertainty propagation in structural reliability with implicit limit state functions under aleatory and epistemic uncertainties

Uncertainty propagation plays a pivotal role in structural reliability assessment. This paper introduces a novel uncertainty propagation method for structural reliability under different knowledge stages based on probability theory, uncertainty theory and chance theory. Firstly, a surrogate model combining the uniform design and least-squares method is presented to simulate the implicit limit state function with random and uncertain variables. Then, a novel quantification method based on chance theory is derived herein, to calculate the structural reliability under mixed aleatory and epistemic uncertainties. The concepts of chance reliability and chance reliability index (CRI) are defined to show the reliable degree of structure. Besides, the selection principles of uncertainty propagation types and the corresponding reliability estimation methods are given according to the different knowledge stages. The proposed methods are finally applied in a practical structural reliability problem, which illustrates the effectiveness and advantages of the techniques presented in this work.

Probabilistic definition of the perturbative theoretical uncertainty from missing higher orders

We consider the problem of quantifying the uncertainty on theoretical predictions based on perturbation theory due to missing higher orders. The most widely used approach, scale variation, is largely arbitrary and it has no probabilistic foundation, making it not suitable for robust data analysis. In 2011, Cacciari and Houdeau proposed a model based on a Bayesian approach to provide a probabilistic definition of the theory uncertainty from missing higher orders. In this work, we propose an improved version of the Cacciari–Houdeau model, that overcomes some limitations. In particular, it performs much better in case of perturbative expansions with large high-order contributions (as it often happens in QCD). In addition, we propose an alternative model based on the same idea of scale variation, which overcomes some of the shortcomings of the canonical approach, on top of providing a probabilistically-sound result. Moreover, we address the problem of the dependence of theoretical predictions on unphysical scales (such as the renormalization scale), and propose a solution to obtain a scale-independent result within the probabilistic framework. We validate these methods on expansions with known sums, and apply them to a number of physical observables in particle physics. We also investigate some variations, improvements and combinations of the models. We believe that these methods provide a powerful tool to reliably estimate theory uncertainty from missing higher orders that can be used in any physics analysis. The results of this work are easily accessible through a public code named .

Is internationalisation really an available choice for micro firms producing cava and Prosecco Superiore? A cross-country, entrepreneurial action perspective

PurposeThe purpose of this study was to examine pathways towards, and the rationale behind internationalisation from the perspectives of micro firms' operators involved in the globally competitive wine industry. Moreover, drawing from entrepreneurial action theory, the study developed a theoretical framework to help understanding micro approaches and rationale for internationalisation.Design/methodology/approachData were collected through interviews with 19 micro winery owners and managers operating in the Prosecco Superiore (Italy) and cava industry (Spain).FindingsAligned with entrepreneurial action theory, uncertainty in participants' environment, coupled with the associated need to diversify through exports, were predominant drivers of internationalisation. However, internationalisation also emerged through non-deliberate channels, including through growth of wine tourism and increasing foreign wine enthusiasts. Thus, while entrepreneurial action through deliberate means triggered a stronger focus on internationalisation, other passive interventions beyond the control or influence of micro firms, but rather emerge serendipitously, can similarly spur direct action.Originality/valueThe study demonstrated its originality and value in various ways, fundamentally, addressing three knowledge gaps, thereby contributing to practical and theoretical discourses with corresponding value, including managerially. First, it extended literature focussing on micro firms, which as compared to small and medium enterprise research is much more limited. Second, it provided a comparative component, which is much rarer in contemporary research discussing internationalisation amongst micro firms. Third, the study proposed a theoretical framework stemming from the chosen inductive approach, thus, addressing concerns regarding the lack of theoretical rigour or depth in internationalisation activities amongst micro firms.

NLO QCD+EW predictions for tHj and tZj production at the LHC

In this work we calculate the cross sections for the hadroproduction of a single top quark or antiquark in association with a Higgs (tHj) or Z boson (tZj) at NLO QCD+EW accuracy. In the case of tZj production we consider both the case of the Z boson undecayed and the complete final state tℓ+ℓ−j, including off-shell and non-resonant effects. We perform our calculation in the five-flavour-scheme (5FS), without selecting any specific production channel (s-, t- or tW associated). Moreover, we provide a more realistic estimate of the theory uncertainty by carefully including the differences between the four-flavour-scheme (4FS) and 5FS predictions. The difficulties underlying this procedure in the presence of EW corrections are discussed in detail. We find that NLO EW corrections are in general within the NLO QCD theory uncertainties only if the flavour scheme uncertainty (4FS vs. 5FS) is taken into account. For the case of tℓ+ℓ−j production we also investigate differences between NLO QCD+EW predictions and NLO QCD predictions matched with a parton shower simulation including multiple photon emissions.

A Study of Neutrosophic Shortest Path Problem

Shortest path problem (SPP) is an important and well-known combinatorial optimization problem in graph theory. Uncertainty exists almost in every real-life application of SPP. The neutrosophic set is one of the popular tools to represent and handle uncertainty in information due to imprecise, incomplete, inconsistent, and indeterminate circumstances. This chapter introduces a mathematical model of SPP in neutrosophic environment. This problem is called as neutrosophic shortest path problem (NSPP). The utility of neutrosophic set as arc lengths and its real-life applications are described in this chapter. Further, the chapter also includes the different operators to handle multi-criteria decision-making problem. This chapter describes three different approaches for solving the neutrosophic shortest path problem. Finally, the numerical examples are illustrated to understand the above discussed algorithms.

Computational procedures of the evidence theory for interval and fuzzy assignments of the basic probability masses for focal elements

The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refers to the fact that the element of our interest (the true world) may be included in subsets of other similar elements (possible worlds). In the original evidence theory, the estimates of the basic probability masses for the focal elements are given in an unambiguous form. In practice, to obtain such estimates is often difficult or even impossible. In such a situation, the relevant estimates are given in the interval or fuzzy form. The goal of the paper is to present and analyse the calculation procedures for determination of the belief functions and plausibility functions in the evidence theory for cases when the initial estimates are given in the interval or fuzzy form.