Dimorphic turning bias in spontaneous rotational movement

Turning biases have been associated with unbalanced hemispheric dopaminergic activity, and this activity has been correlated with cue-directed behaviors. Moreover, a sexual differentiation in hippocampal dopaminergic receptors following learning has been shown. In humans, pointing responses towards the starting point is commonly used to assess the accuracy of direction estimation after locomotion. Thus, it may be of interest for the field of spatial cognition to explore human sex differences in spontaneous turning bias when a body rotation is required. To this end, male and female blindfolded subjects were guided in a linear displacement and asked to rotate in order to point in the direction of the starting position. The main finding was a massive difference between men and women. 80% of women showed a turning bias to the right when 69% of men showed a bias to the left. Moreover, these preferences were not correlated with handedness. These results suggest basic preferences associated to sex might influence male and female performance in spatial cognition. They also suggest experimental procedures may be biased in favor of male or female strategies. Therefore, such preferences should be considered in order to gain further insight into the development of more balanced procedures.

Points to consider for prioritizing clinical genetic testing services: a European consensus process oriented at accountability for reasonableness.

Given the cost constraints of the European health-care systems, criteria are needed to decide which genetic services to fund from the public budgets, if not all can be covered. To ensure that high-priority services are available equitably within and across the European countries, a shared set of prioritization criteria would be desirable. A decision process following the accountability for reasonableness framework was undertaken, including a multidisciplinary EuroGentest/PPPC-ESHG workshop to develop shared prioritization criteria. Resources are currently too limited to fund all the beneficial genetic testing services available in the next decade. Ethically and economically reflected prioritization criteria are needed. Prioritization should be based on considerations of medical benefit, health need and costs. Medical benefit includes evidence of benefit in terms of clinical benefit, benefit of information for important life decisions, benefit for other people apart from the person tested and the patient-specific likelihood of being affected by the condition tested for. It may be subject to a finite time window. Health need includes the severity of the condition tested for and its progression at the time of testing. Further discussion and better evidence is needed before clearly defined recommendations can be made or a prioritization algorithm proposed. To our knowledge, this is the first time a clinical society has initiated a decision process about health-care prioritization on a European level, following the principles of accountability for reasonableness. We provide points to consider to stimulate this debate across the EU and to serve as a reference for improving patient management.

Infectiologie et postulats de Koch: tourner la page [Infectious diseases and Koch's postulates: turning the page].

The thoracolumbar junctional region (T10-L1) of the spine is a transitional zone, where more than half of the thoracic and lumbar fractures occur. In this presentation the origin of the pathoanatomical changes in the thoracolumbar junctional region of the spine is discussed in view of the previous studies. These studies refer to a torsional force contributing to the formation of the degenerative changes, especially in the facet joints. Degenerative changes anteriorly and posteriorly do not concur in the thoracolumbar junctional region. Only a weak concurrence is found between disc degeneration and spondylosis, which refer to differences in their pathomechanisms. A strong concurrence between the degenerative changes at different levels, especially anteriorly, reflects factors causing overall degeneration in the thoracolumbar junctional region.

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Seventy-five percent of breast cancers are estrogen receptor α positive (ER(+)). Research on these tumors is hampered by lack of adequate in vivo models; cell line xenografts require non-physiological hormone supplements, and patient-derived xenografts (PDXs) are hard to establish. We show that the traditional grafting of ER(+) tumor cells into mammary fat pads induces TGFβ/SLUG signaling and basal differentiation when they require low SLUG levels to grow in vivo. Grafting into the milk ducts suppresses SLUG; ER(+) tumor cells develop, like their clinical counterparts, in the presence of physiological hormone levels. Intraductal ER(+) PDXs are retransplantable, predictive, and appear genomically stable. The model provides opportunities for translational research and the study of physiologically relevant hormone action in breast carcinogenesis.

Change points detection in crime-related time series: an on-line fuzzy approach based on a shape space representation

The extension of traditional data mining methods to time series has been effectively applied to a wide range of domains such as finance, econometrics, biology, security, and medicine. Many existing mining methods deal with the task of change points detection, but very few provide a flexible approach. Querying specific change points with linguistic variables is particularly useful in crime analysis, where intuitive, understandable, and appropriate detection of changes can significantly improve the allocation of resources for timely and concise operations. In this paper, we propose an on-line method for detecting and querying change points in crime-related time series with the use of a meaningful representation and a fuzzy inference system. Change points detection is based on a shape space representation, and linguistic terms describing geometric properties of the change points are used to express queries, offering the advantage of intuitiveness and flexibility. An empirical evaluation is first conducted on a crime data set to confirm the validity of the proposed method and then on a financial data set to test its general applicability. A comparison to a similar change-point detection algorithm and a sensitivity analysis are also conducted. Results show that the method is able to accurately detect change points at very low computational costs. More broadly, the detection of specific change points within time series of virtually any domain is made more intuitive and more understandable, even for experts not related to data mining.