Looking Behavior and Smiling in Down Syndrome Infants

We studied the relation between direction of gaze and smiling in 15 typically developing infants and 15 infants with Down syndrome. All of them were videotaped during face-to-face interaction with their mothers at home, and while having access to their familiar toys. Results showed that mothers in the two groups behaved in a similar way; that Down syndrome infants looked at their mother's face for longer than typically developing children; and that the relationship between looking and smiling was similar in the two cases and reflected as an increase in the time the infant looked at its mother's face and a decrease in the time the infant looked at toys. It was deduced that Down syndrome infants are capable of distinguishing the differential significance of faces and toys, so that, in the same way as typically developing infants, they direct their affective behavior fundamentally towards the social element, which leads us to consider the affiliative function implied by this expression.     

Co-morbidity of gambling and Internet use among Internet and land-based gamblers: classic and network approaches

This study investigated co-morbidity of problem gambling and problematic Internet use (PIU) among adolescent Internet and land-based gamblers, with the classic approach using sum-scores of symptoms and a promising new method, namely the network perspective. This perspective allows testing for how multiple disorders are associated, showing symptoms overlap and centralities. We used cross-sectional data from two population-based samples of adolescents aged 17 years in France (n = 2,240) and Switzerland (n = 944). Measures included Internet gambling, problem gambling and PIU. The classic approach showed that Internet gambling was associated with increased levels of disordered gambling and PIU, but that correlations between disorders were weak (R² min = 3.2%, R² max = 17.6%). The network perspective showed that the co-morbid network of Internet gamblers was more connected in comparison with land-based gamblers. Problem gambling and PIU appeared as separate disorders, but their relationship was increased among Internet gamblers in comparison with land-based gamblers. The network perspective appeared as a promising avenue for a better understanding of addictive disorders, but it should not replace the classic approach, which showed increased levels of addictive behaviours among Internet gamblers.     

Design catalogue for eco-engineering of coastal artificial structures: a multifunctional approach for stakeholders and end-users

Urban Ecosystems - Coastal urbanisation, energy extraction, food production, shipping and transportation have led to the global proliferation of artificial structures within the coastal and marine...     

The impact of the term spread in US monetary policy from 1870 to 2013

In this paper, we apply a novel econometric approach joint with an exhaustive revision of the main events in the history of US monetary policy in order to check the effectiveness of monetary policy focused on interest rates. Unlike the traditional cointegration approach, this new methodology allows us to break with the rigidity of traditional approaches in favour of letting the series be cointegrated, and the spread is able to follow a long-memory process; i.e., it does not necessarily need to be I(0) and also rejects the assumption that interest rates could follow the dichotomy I(0)/I(1). To the best of our knowledge, this is one of the first applications of the Fractionally Cointegrated Vector Autoregressive (FCVAR) model (Johansen and Nielsen (2012) and Nielsen and Popiel (2016)). Aiming to achieve this goal, we use two databases, i.e., the Jordà-Schularick-Taylor Macrohistory Database and Shiller’s database. Our results cannot reject the Expectations Hypothesis of Term Structure in this time period, and more importantly, we also find that the long-term rate drives the long-run relationship, contributing to the total proportion to the common trend; the persistence of the spread shows us effective control power over interest rates by the Fed.     

The Case of Sybil in the Teaching of Psychology

What do psychology professors today typically tell their students about the case of Sybil (F. R. Schreiber, 1973)--once considered the classic case of multiple personality disorder (MPD), until gradually revealed to be a fraud by new evidence (R. W. Rieber, 1998)? A 14-item survey was completed by a national sample of 125 college psychology teachers. It was found that a sizable minority of teachers discuss MPD (35%) or Sybil (23%) in their classes, 40% continue to regard Sybil as a classic case of MPD, and 83% report being only slightly or not at all familiar with new revelations about the Sybil case. Psychology teachers are offered 5 guidelines for accurately teaching about Sybil today.     

Beyond the asylum-applications growth. The limits of the Spanish refugee reception program

Based on two extended qualitative research projects conducted between 2017 and 2022, this paper analyses the refugee reception programme (RP) in Spain, which is managed both by the central state and some specialised social organisations. This cross-sectoral RP presents notable and enduring problems, which have deepened since the increase in asylum applications during the so-called European refugee crisis in 2015. This paper affirms that, although this increase in asylum seekers represents a serious challenge, the persistent shortcomings of the RP are better explained by a set of structural factors related to (1) the restrictive institutional model of asylum and immigration policy, (2) the lack of development of the RP, its dispersal policy and its social intervention design, (3) the lack of multilevel governance between the State and the municipalities and regional administration and (4) the current neoliberal and nativist policies.     

Estimation,Testing, and Finite Sample Properties of Quasi-Maximum Likelihood Estimators in GARCH-M Models

We provide three new results concerning quasi-maximum likelihood (QML) estimators in generalized autoregressive conditional heteroskedastic in mean (GARCH-M) models. We first show that, depending on the functional form that we impose in the mean equation, the properties of the model may change and the conditional variance parameter space may be restricted, in contrast to the theory of traditional GARCH processes. Second, we also present a new test for GARCH effects in the GARCH-M context which is simpler to implement than alternative procedures such as in Beg et al. (2001 Beg , R. , Silvapulle , M. , Silvapulle , P. ( 2001 ). Tests against inequality constraints when some nuisance parameters are present only under the alternative: test of ARCH in ARCH-M models . Journal of Business and Economic Statistics 19 : 245 – 485 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). We propose a new way of dealing with parameters that are not identified by creating composites of parameters that are identified. Third, the finite sample properties of QML estimators are explored in a restricted ARCH-M model and bias and variance approximations are found which show that the larger the volatility of the process the better the variance parameters are estimated. The invariance properties that Lumsdaine (1995 Lumsdaine , R. L. ( 1995 ). Finite sample properties of the maximum likelihood estimator in GARCH(1,1) and IGARCH(1,1) models: a Monte Carlo investigation . Journal of Business and Economic Statistics 13 ( 1 ): 1 – 10 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) proved for the traditional GARCH are shown not to hold in the GARCH-M. For those researchers who choose not to rely on the first order asymptotic approximation of our proposed test statistic, we also show how our bias expressions can be used to bias correct the QML estimates with a view to improving the finite sample performance of the test. Finally, we show how our new proposed test works in practice in an empirical economic application.     

A Central Limit Theorem in Non‐parametric Regression with Truncated,Censored and Dependent Data

On the basis of the idea of the Nadaraya–Watson (NW) kernel smoother and the technique of the local linear (LL) smoother, we construct the NW and LL estimators of conditional mean functions and their derivatives for a left‐truncated and right‐censored model. The target function includes the regression function, the conditional moment and the conditional distribution function as special cases. It is assumed that the lifetime observations with covariates form a stationary α‐mixing sequence. Asymptotic normality of the estimators is established. Finite sample behaviour of the estimators is investigated via simulations. A real data illustration is included too.     

Hierarchical Bayesian level set inversion

The level set approach has proven widely successful in the study of inverse problems for interfaces, since its systematic development in the 1990s. Recently it has been employed in the context of Bayesian inversion, allowing for the quantification of uncertainty within the reconstruction of interfaces. However, the Bayesian approach is very sensitive to the length and amplitude scales in the prior probabilistic model. This paper demonstrates how the scale-sensitivity can be circumvented by means of a hierarchical approach, using a single scalar parameter. Together with careful consideration of the development of algorithms which encode probability measure equivalences as the hierarchical parameter is varied, this leads to well-defined Gibbs-based MCMC methods found by alternating Metropolis–Hastings updates of the level set function and the hierarchical parameter. These methods demonstrably outperform non-hierarchical Bayesian level set methods.