Reading comprehension of czech pupils at the beginning of primary school: comparison betweenanalytic-synthetic and genetic methods

In Czech schools two teaching methods of reading are used: the analytic-synthetic (conventional) and genetic (created in the 1990s). They differ in theoretical foundations and in methodology. The aim of this paper is to describe the above mentioned theoretical approaches and present the results of study that followed the differences in the development of initial reading skills between these methods. A total of 452 first grade children (age 6-8) were assessed by a battery of reading tests at the beginning and at the end of the first grade and at the beginning of the second grade. 350 pupils participated all three times. Based on data analysis the developmental dynamics of reading skills in both methods and the main differences in several aspects of reading abilities (e.g. the speed of reading, reading technique, error rate in reading) are described. The main focus is on the reading comprehension development. Results show that pupils instructed using genetic approach scored significantly better on used reading comprehension tests, especially in the first grade. Statistically significant differences occurred between classes independently of each method. Therefore, other factors such as teacher´s role and class composition are discussed.

O natural e o farmacológico: padrões de consumo terapêutico na população portuguesa

Neste artigo identificam-se os padrões de consumo terapêutico na população portuguesa, visando dar conta de um novo padrão emergente nas sociedades modernas, aqui designado de Pluralismo Terapêutico, noção com a qual se categoriza o uso conjugado ou alternado de recursos farmacológicos e naturais nas trajetórias terapêuticas dos indivíduos. O respetivo suporte empírico decorre de uma investigação, já concluída, que teve por base uma amostra nacional representativa. Os resultados mostram uma dualização dos consumos terapêuticos que é constituída por um padrão dominante de Farmacologismo – i.e., uso exclusivo de fármacos – coexistente com uma tendência crescente de pluralismo terapêutico. O efeito das fontes de informação terapêutica e dos seus usos leigos, bem como das perceções sociais de risco sobre o natural e o farmacológico, constitui neste estudo uma referência analítica central para a interpretação dos padrões encontrados. - ABSTRACT: In this article we identify patterns of therapeutic consumption, with the purpose of assessing an emerging pattern in modern societies, here designated as Therapeutic Pluralism, referring to the conjugated or alternated use of pharmacological and natural resources in the therapeutic trajectories of individuals. The empirical basis for this analysis stems from a concluded research on the topic, and is focused on a questionnaire administered to a representative sample of the Portuguese population. The results show a duality in therapeutic consumptions, expressed in the coexistence of a dominant pattern of Pharmacologism – that is, the exclusive therapeutic consumption of pharmaceuticals – and a growing trend towards therapeutic pluralism. The effects of information sources on health and its lay uses, as well as of the social perceptions of risk concerning the natural and the pharmacological, constitute key analytical references for this study’s interpretation of the identified patterns.

Partial utility-driven scheduling for flexible SLA and pricing arbitration in clouds

Cloud SLAs compensate customers with credits when average availability drops below certain levels. This is too inflexible because consumers lose non-measurable amounts of performance being only compensated later, in next charging cycles. We propose to schedule virtual machines (VMs), driven by range-based non-linear reductions of utility, different for classes of users and across different ranges of resource allocations: partial utility. This customer-defined metric, allows providers transferring resources between VMs in meaningful and economically efficient ways. We define a comprehensive cost model incorporating partial utility given by clients to a certain level of degradation, when VMs are allocated in overcommitted environments (Public, Private, Community Clouds). CloudSim was extended to support our scheduling model. Several simulation scenarios with synthetic and real workloads are presented, using datacenters with different dimensions regarding the number of servers and computational capacity. We show the partial utility-driven driven scheduling allows more VMs to be allocated. It brings benefits to providers, regarding revenue and resource utilization, allowing for more revenue per resource allocated and scaling well with the size of datacenters when comparing with an utility-oblivious redistribution of resources. Regarding clients, their workloads’ execution time is also improved, by incorporating an SLA-based redistribution of their VM’s computational power.

Single side damage simulations and detection in beam-like structures

Beam-like structures are the most common components in real engineering, while single side damage is often encountered. In this study, a numerical analysis of single side damage in a free-free beam is analysed with three different finite element models; namely solid, shell and beam models for demonstrating their performance in simulating real structures. Similar to experiment, damage is introduced into one side of the beam, and natural frequencies are extracted from the simulations and compared with experimental and analytical results. Mode shapes are also analysed with modal assurance criterion. The results from simulations reveal a good performance of the three models in extracting natural frequencies, and solid model performs better than shell while shell model performs better than beam model under intact state. For damaged states, the natural frequencies captured from solid model show more sensitivity to damage severity than shell model and shell model performs similar to the beam model in distinguishing damage. The main contribution of this paper is to perform a comparison between three finite element models and experimental data as well as analytical solutions. The finite element results show a relatively well performance.

Hyperspectral imagery framework for unmixing and dimensionality estimation

In hyperspectral imagery a pixel typically consists mixture of spectral signatures of reference substances, also called endmembers. Linear spectral mixture analysis, or linear unmixing, aims at estimating the number of endmembers, their spectral signatures, and their abundance fractions. This paper proposes a framework for hyperpsectral unmixing. A blind method (SISAL) is used for the estimation of the unknown endmember signature and their abundance fractions. This method solve a non-convex problem by a sequence of augmented Lagrangian optimizations, where the positivity constraints, forcing the spectral vectors to belong to the convex hull of the endmember signatures, are replaced by soft constraints. The proposed framework simultaneously estimates the number of endmembers present in the hyperspectral image by an algorithm based on the minimum description length (MDL) principle. Experimental results on both synthetic and real hyperspectral data demonstrate the effectiveness of the proposed algorithm.