Relationship among children’s perception of parental relationship and parental empathy and prosocial behaviour during childhood

The objective of this work is to study if children’s perception of parental relationship and parental empathy can predict prosocial behaviour during childhood. The sample was composed of 934 Argentine children, aged 9 to 12, of middle socio-economical level. The participants completed Argentine scale of Children Perception of Parental relationship (richaud de Minzi, 2007), an Argentine adaptation of scale of Prosocial Behaviour (Caprara and Pastorelli, 1993) and a questionnaire to measure children’s perception of parental empathy (richaud de Minzi, 2006). structural equations modelling (sEM) analyses were conducted to explore our hypotheses. Six theoretical models fit the data very well. The results showed that parental styles of acceptance and pathological control impact on children prosocial behavior. Children’s perception of parental empathy was positively associated with children prosocial behavior. Finally, parental acceptance and pathological control were associated with children’s perception of parental empathy, but negligent parental behaviour did not.  

Psychometric Properties of the Inventário Dimensional Clínico da Personalidade (IDCP) using the Rating Scale Model

The aim of this study was to evaluate the performance of the Dimensional Clinical Personality Inventory (DCPI) using Rasch-based person and item analysis. 1281 participants were recruited, between 18 and 90 years of age (M=26.64; SD=8.94), 431 men (33.6%) and 127 (9.9%) patients diagnosed with axis I disorders and/or axis II according to DSM-IV-TR. Results indicated the IDCP scales performed reasonably well, and the usefulness of the analyses presented, demonstrate the Rasch model’s applicability for clinical applications. Among the important tools offered by the Rasch model, we explore the use of the person-item map, which visually presents the intuitively understandable psychological construct along the dimensional scale of the instrument.

Frequency of Low-level Mosaicism in X-Cromosome in Couples with Antecedent of Recurrent Miscarriages

Recurrent miscarriage occurs in around 1 to 7 percent of couples. The etiology involves genetic, immunologic, anatomic, hormonal, metabolic, thrombophilic and infectious factors. With the aim of establishing the frequency of low-level mosaicism in the X-chromosome, in a population of couples with prior recurrent miscarriages, a prospective case-control cytogenetic study took place on 20 couples, at the biogenetic laboratory in CECOLFES (Colombian Center of Fertility and Sterility). Clinical pathologic evaluation, anatomic, hormonal, infectious, andrologic and genetic studies were performed. As a conventional method in cytogenetic techniques, banding GTG was used for the study of structural and numeric chromosomal abnormalities whereas the molecular method of Fluorescence In Situ Hybridization (FISH) was used to confirm the mosaicism in sexual chromosomes. According to paraclinic results from the participating couples, diagnosis showed immunologic (75%), anatomic (30%), hormonal (25%), male (25%), infectious (25%), genetic (15%) and idiophatic factors (10%). Results from the cytogenetic analysis, were 10% of low-level mosaicism in the X-chromosome in two women whose final diagnosis included genetic and infectious factors for one and genetic and immunologic factors for the other. Only 10 % of the total miscarriages from the couples were evaluated. Conclusions include aspects such as multifactorial evidence of pathogenesis in recurrent miscarriage, the sub-diagnosis of genetic factors and the need to focus future investigations on cytogenetic interpretation and the clinicalpathological association between low-level mosaicism in the X-cromosome and recurrent miscarriage.

Aggressive tendencies among undergraduates : the role of personal and family characteristics. 'Tendencias agresivas entre estudiantes de grado : el rol de las características personales y familiares'.

Resumen basado en el de la publicación

A groove-ploughing theory for the production of mega-scale glacial lineations, and implications for ice-stream mechanics

Mega-scale glacial lineations (MSGLs) are longitudinally aligned corrugations (ridge-groove structures 6-100 km long) in sediment produced subglacially. They are indicators of fast flow and a common signature of ice-stream beds. We develop a qualitative theory that accounts for their formation, and use numerical modelling, and observations of ice-stream beds to provide supporting evidence. Ice in contact with a rough (scale of 10-10(3) m) bedrock surface will mimic the form of the bed. Because of flow acceleration and convergence in ice-stream onset zones, the ice-base roughness elements experience transverse strain, transforming them from irregular bumps into longitudinally aligned keels of ice protruding downwards. Where such keels slide across a soft sedimentary bed, they plough through the sediments, carving elongate grooves, and deforming material up into intervening ridges. This explains MSGLs and has important implications for ice-stream mechanics. Groove ploughing provides the means to acquire new lubricating sediment and to transport large volumes of it downstream. Keels may provide basal drag in the force budget of ice streams, thereby playing a role in flow regulation and stability We speculate that groove ploughing permits significant ice-stream widening, thus facilitating high-magnitude ice discharge.

Strategies, effectiveness and rationale of vector-borne disease control in the pastoralist system of south-western Uganda

In Uganda, control of vector-borne diseases is mainly in form of vector control, and chemotherapy. There have been reports that acaricides are being misused in the pastoralist systems in Uganda. This is because of the belief by scientists that intensive application of acaricide is uneconomical and unsustainable particularly in the indigenous cattle. The objective of this study was to investigate the strategies, rationale and effectiveness of vector-borne disease control by pastoralists. To systematically carry out these investigations, a combination of qualitative and quantitative research methods was used, in both the collection and the analysis of data. Cattle keepers were found to control tick-borne diseases (TBDs) mainly through spraying, in contrast with the control of trypanosomosis for which the main method of control was by chemotherapy. The majority of herders applied acaricides weekly and used an acaricide of lower strength than recommended by the manufacturers. They used very little acaricide wash, and spraying was preferred to dipping. Furthermore, pastoralists either treated sick animals themselves or did nothing at all, rather than using veterinary personnel. Oxytetracycline (OTC) was the drug commonly used in the treatment of TBDs. Nevertheless, although pastoralists may not have been following recommended practices in their control of ticks and tick-borne diseases, they were neither wasteful nor uneconomical and their methods appeared to be effective. Trypanosomosis was not a problem either in Sembabule or Mbarara district. Those who used trypanocides were found to use more drugs than were necessary.

Making ecological science policy relevant: issues of scale and disciplinary integration

In this paper, we ask why so much ecological scientific research does not have a greater policy impact in the UK. We argue that there are two potentially important and related reasons for this failing. First, much current ecological science is not being conducted at a scale that is readily meaningful to policy-makers. Second, to make much of this research policy-relevant requires collaborative interdisciplinary research between ecologists and social scientists. However, the challenge of undertaking useful interdisciplinary research only re-emphasises the problems of scale: ecologists and social scientists traditionally frame their research questions at different scales and consider different facets of natural resource management, setting different objectives and using different language. We argue that if applied ecological research is to have greater impact in informing environmental policy, much greater attention needs to be given to the scale of the research efforts as well as to the interaction with social scientists. Such an approach requires an adjustment in existing research and funding infrastructures.

Parents' cognitions and expectations about their pre-school children: the contribution of parental anxiety and child anxiety

This study investigated the relative associations between parent and child anxiety and parents' cognitions about their children. One hundred and four parents of children aged 3-5 years completed questionnaires regarding their own anxiety level, their child's anxiety level and their cognitions about the child, specifically parents' expectations about child distress and avoidance, and parents' perceived control over child mood and behaviour. Both parent anxiety and parent report of child anxiety were significantly associated with parents' cognitions. Specifically, parent report of child anxiety correlated significantly with parent locus of control generally and, more specifically, with parental expectations and perceived control of child anxious mood and behaviour. Parent anxiety correlated significantly with locus of control and parents' expectations of child anxious mood and behaviour. Furthermore, when both child and parent anxiety were taken into account, only parental anxiety remained significantly associated with parental locus of control and perceived control of child anxious behaviour. For parents' perceived control of child anxious mood, only child anxiety remained significantly associated. The results suggest that parents' perceived control over their children's behaviour may primarily reflect parental anxiety, rather than child anxiety. Parental anxiety may, therefore, present an important target for interventions that aim to change parent's cognitions and behaviour.

The geometry of optimal control solutions on some six dimensional lie groups

This paper examines optimal solutions of control systems with drift defined on the orthonormal frame bundle of particular Riemannian manifolds of constant curvature. The manifolds considered here are the space forms Euclidean space E-3, the spheres S-3 and the hyperboloids H-3 with the corresponding frame bundles equal to the Euclidean group of motions SE(3), the rotation group SO(4) and the Lorentz group SO(1,3). The optimal controls of these systems are solved explicitly in terms of elliptic functions. In this paper, a geometric interpretation of the extremal solutions is given with particular emphasis to a singularity in the explicit solutions. Using a reduced form of the Casimir functions the geometry of these solutions are illustrated.

The impact of maternal control on children’s anxious cognitions, behaviours and affect: an experimental study

Controlling parenting is associated with child anxiety however the direction of effects remains unclear. The present study implemented a Latin-square experimental design to assess the impact of parental control on children’s anxious affect, cognitions and behaviour. A non-clinical sample of 24 mothers of children aged 4-5 years were trained to engage in (a) controlling and (b) autonomy-granting behaviours in interaction with their child during the preparation of a speech. When mothers engaged in controlling parenting behaviours, children made more negative predictions about their performance prior to delivering their speech and reported feeling less happy about the task, and this was moderated by child trait anxiety. In addition, children with higher trait anxiety displayed a significant increase in observed child anxiety in the controlling condition. The pattern of results was maintained when differences in mothers’ levels of negativity and habitual levels of control were accounted for. These findings are consistent with theories that suggest that controlling parenting is a risk factor in the development of childhood anxiety.

The impact of the state of the troposphere on the response to stratospheric heating in a simplified GCM

Previous studies have made use of simplified general circulation models (sGCMs) to investigate the atmospheric response to various forcings. In particular, several studies have investigated the tropospheric response to changes in stratospheric temperature. This is potentially relevant for many climate forcings. Here the impact of changing the tropospheric climatology on the modeled response to perturbations in stratospheric temperature is investigated by the introduction of topography into the model and altering the tropospheric jet structure. The results highlight the need for very long integrations so as to determine accurately the magnitude of response. It is found that introducing topography into the model and thus removing the zonally symmetric nature of the model’s boundary conditions reduces the magnitude of response to stratospheric heating. However, this reduction is of comparable size to the variability in the magnitude of response between different ensemble members of the same 5000-day experiment. Investigations into the impact of varying tropospheric jet structure reveal a trend with lower-latitude/narrower jets having a much larger magnitude response to stratospheric heating than higher-latitude/wider jets. The jet structures that respond more strongly to stratospheric heating also exhibit longer time scale variability in their control run simulations, consistent with the idea that a feedback between the eddies and the mean flow is both responsible for the persistence of the control run variability and important in producing the tropospheric response to stratospheric temperature perturbations.

Adaptive deadbeat control of stochastic systems

This paper considers the use of a discrete-time deadbeat control action on systems affected by noise. Variations on the standard controller form are discussed and comparisons are made with controllers in which noise rejection is a higher priority objective. Both load and random disturbances are considered in the system description, although the aim of the deadbeat design remains as a tailoring of reference input variations. Finally, the use of such a deadbeat action within a self-tuning control framework is shown to satisfy, under certain conditions, the self-tuning property, generally though only when an extended form of least-squares estimation is incorporated.

A critique of neural networks for discrete-time linear control

This paper discusses the use of multi-layer perceptron networks for linear or linearizable, adaptive feedback.control schemes in a discrete-time environment. A close look is taken at the model structure selected and the extent of the resulting parametrization. A comparison is made with standard, non-perceptron algorithms, e.g. self-tuning control, and it is shown how gross over-parametrization can occur in the neural network case. Because of the resultant heavy computational burden and poor controller convergence, a strong case is made against the use of neural networks for discrete-time linear control.

Composite control of non-linear singularly perturbed systems: meeting a design objective

Using the integral manifold approach, a composite control—the sum of a fast control and a slow control—is derived for a particular class of non-linear singularly perturbed systems. The fast control is designed completely at the outset, thus ensuring the stability of the fast transients of the system and, furthermore, the existence of the integral manifold. A new method is then presented which simplifies the derivation of a slow control such that the singularly perturbed system meets a preselected design objective to within some specified order of accuracy. Though this approach is, by its very nature, ad hoc, the underlying procedure is easily extended to more general classes of singularly perturbed systems by way of three examples.

Dynamic integrated system optimization and parameter estimation for discrete time optimal control of nonlinear systems

An algorithm for solving nonlinear discrete time optimal control problems with model-reality differences is presented. The technique uses Dynamic Integrated System Optimization and Parameter Estimation (DISOPE), which achieves the correct optimal solution in spite of deficiencies in the mathematical model employed in the optimization procedure. A version of the algorithm with a linear-quadratic model-based problem, implemented in the C+ + programming language, is developed and applied to illustrative simulation examples. An analysis of the optimality and convergence properties of the algorithm is also presented.