Clock reading: an underestimated topic in children with mathematics difficulties

Recent studies have shown that children with mathematics difficulties (MD) have weaknesses in multiple areas of mathematics. Andersson (2008), for example, recently found that children with MD perform significantly worse than other children on clock reading tasks. The present study builds on this recent finding and aims at a more profound understanding of the difficulties that children with MD experience with telling time. Therefore, clock reading abilities of 154 children with MD were compared to the ability of 571 average achieving children and a qualitative error analysis was performed. The results of this study confirm the earlier finding of Andersson (2008) that children with MD perform worse on clock reading than average achieving children, and additionally shows that children with MD are especially struggling the combination of procedural and retrieval strategies that are needed to read complex five minute and one minute clock times. Children with MD make more errors that reflect immature counting strategies and deficits in memory retrieval. This finding is in line with Geary’s (2005) theory of subtypes in MD, that argues that children with MD have problems with mathematical procedures and semantic memory retrieval

Dietary diversity correlates with the neuromodulatory capacity of the stomatogastric nervous system in three species of \u3ci\u3emajoid\u3c/i\u3e crabs

This project sought to answer the following question: what is the relationship between the extent of neuromodulation in a nervous system, and the behavioral demands on that system? A well-characterized CPG neuronal circuit in decapod crustaceans, the stomatogastric nervous system (STNS), was used as a model circuit to answer this question. The stomatogastric ganglion (STG) in the STNS is responsible for muscular contractions in the stomach that aid in digestion. It has been shown that the neural networks in the STG are subject to neuromodulation. One feature of neuromodulation is that it enables circuit flexibility, which confers upon a system the ability to produce variable outputs in response to specific physiological demands. It was hypothesized that opportunistic feeders require more extensively modulated digestive systems compared to exclusive feeders, because opportunistic feeders require a greater variety of digestive outputs to digest their varied diets. In this study, Chionoecetes opilio and Libinia emarginata, the opportunistic feeders, showed greater neuromodulatory capacity of the STNS than Pugettia producta, the exclusive feeder. The hypothesis that neuromodulatory capacity of the STNS correlates with dietary diversity was supported. The results detailed in this study lend credence to the idea that evolutionary basis for neuromodulatory capacity of a system is related to the behavioral demands on that system

Curriculum sequencing and the acquisition of clock reading skills among Chinese and Flemish children

The present study reexamines the adoption of clock reading skills in the primary mathematics curriculum. In many Western countries, the mathematics curriculum adopts a number of age-related stages for teaching clock reading skills, that were defined by early research (e.g., Friedman & laycock, 1989; Piaget, 1969). Through a comparison of Flemish and Chinese student’s clock reading abilities, the current study examines whether these age-related stages are a solid base for teaching clock reading skills. By means of both quantitative (ANOVA’s) and qualitative (textbook analysis) methods, the present study indicates that the alternative way of teaching clock reading skills in China, i.e., at the age of six instead of staggered out over several grades, results in a two years earlier acquisition of clock reading skills. This indicates that the previously age-related stages in children’s acquisition of clock reading are not universal, nor the most effective way to teach these skills to young children

Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates

Gas hydrates represent one of the main flow assurance challenges in the oil and gas industry as they can lead to plugging of pipelines and process equipment. In this paper we present a literature study performed to evaluate the current state of the use of machine learning methods within the field of gas hydrates with specific focus on the oil chemistry. A common analysis technique for crude oils is Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) which could be a good approach to achieving a better understanding of the chemical composition of hydrates, and the use of machine learning in the field of FT-ICR MS was therefore also examined. Several machine learning methods were identified as promising, their use in the literature was reviewed and a text analysis study was performed to identify the main topics within the publications. The literature search revealed that the publications on the combination of FT-ICR MS, machine learning and gas hydrates is limited to one. Most of the work on gas hydrates is related to thermodynamics, while FT-ICR MS is mostly used for chemical analysis of oils. However, with the combination of FT-ICR MS and machine learning to evaluate samples related to gas hydrates, it could be possible to improve the understanding of the composition of hydrates and thereby identify hydrate active compounds responsible for the differences between oils forming plugging hydrates and oils forming transportable hydrates.Current overview and way forward for the use of machine learning in the field of petroleum gas hydratespublishedVersio

Bob and Jane go to Argentina: The Ethics of Cross-Border Care

Étude de cas / Case studyCette étude de cas présente l'histoire d’une couple Nord- Américain typique à la recherche de traitements de fertilité sur Internet. Cette recherche les conduit sur des sites de cliniques dans d'autres pays, ce qui les amène à penser à voyager à l'étranger pour des services médicaux - également connu comme le tourisme médical.This case study presents the story of a typical North American couple searching for fertility treatments on the Internet. This search leads to sites of clinics in other countries, which gets them thinking about traveling abroad for medical services – also known as medical tourism

Reproductive Tourism in Argentina: Clinic Accreditation and its Implications for Consumers, Health Professionals and Policy Makers

[À l'origine dans / Was originally part of : ESPUM - Dép. médecine sociale et préventive - Travaux et publications]A subcategory of medical tourism, reproductive tourism has been the subject of much public and policy debate in recent years. Specific concerns include: the exploitation of individuals and communities, access to needed health care services, fair allocation of limited resources, and the quality and safety of services provided by private clinics. To date, the focus of attention has been on the thriving medical and reproductive tourism sectors in Asia and Eastern Europe; there has been much less consideration given to more recent ‘players’ in Latin America, notably fertility clinics in Chile, Brazil, Mexico and Argentina. In this paper, we examine the context-specific ethical and policy implications of private Argentinean fertility clinics that market reproductive services via the internet. Whether or not one agrees that reproductive services should be made available as consumer goods, the fact is that they are provided as such by private clinics around the world. We argue that basic national regulatory mechanisms are required in countries such as Argentina that are marketing fertility services to local and international publics. Specifically, regular oversight of all fertility clinics is essential to ensure that consumer information is accurate and that marketed services are safe and effective. It is in the best interests of consumers, health professionals and policy makers that the reproductive tourism industry adopts safe and responsible medical practices.Elise Smith was supported by a COPSE studentship from the Faculty of Medicine (Université de Montréal), Carolina Martin by a Bioethics scholarship from the Faculty of Graduate Studies (Université de Montréal), and Jason Behrmann by scholarships from the Fonds de la recherche en santé du Québec (FRSQ), the Université de Montréal and the APOGEE-Net Network of Canada. This project, part of larger program of research, was supported by grants to Bryn Williams-Jones from the Faculty of Medicine of the Université de Montréal (start-up grant, 2006), the Social Sciences and Humanities Research Council of Canada (SSHRC Institutional pilot grant, 2007), and the International Institute of Research in EthicsandBiomedicine (IIREB travel award to visit Argentina, 2008)

Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra

The blockages of pipelines caused by agglomeration of gas hydrates is a major flow assurance issue in the oil and gas industry. Some crude oils form gas hydrates that remain as transportable particles in a slurry. It is commonly believed that naturally occurring components in those crude oils alter the surface properties of gas hydrate particles when formed. The exact structure of the crude oil components responsible for this surface modification remains unknown. In this study, a successive accumulation and spiking of hydrate-active crude oil fractions was performed to increase the concentration of hydrate related compounds. Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) was then utilised to analyse extracted oil samples for each spiking generation. Machine learning-based variable selection was used on the FT-ICR MS spectra to identify the components related to hydrate formation. Among six different methods, Partial Least Squares Discriminant Analysis (PLS-DA) was selected as the best performing model and the 23 most important variables were determined. The FT-ICR MS mass spectra for each spiking level was compared to samples extracted before the successive accumulation, to identify changes in the composition. Principal Component Analysis (PCA) exhibited differences between the oils and spiking levels, indicating an accumulation of hydrate active components. Molecular formulas, double bond equivalents (DBE) and hydrogen-carbon (H/C) ratios were determined for each of the selected variables and evaluated. Some variables were identified as possibly asphaltenes and naphthenic acids which could be related to the positive wetting index (WI) for the oils.publishedVersio