Spondylitis in chronic ulcerative colitis

A review of the roentgen films and hospital charts in 100 examples of chronic ulcerative colitis showed a 6 per cent prevalence of ankylosing spondylitis. There were no differences in the course or severity of the colitis that distinguished the patients with spondylitis from the entire group. The radiologic features of the spinal involvement were identical to those seen in ankylosing spondylitis. The concurrence of these two diseases is of interest from an etiologic viewpoint but is not explained.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37687/1/1780030109_ftp.pd

Weighing Geophysical Data With Trans‐Dimensional Algorithms: An Earthquake Location Case Study

Measured scientific data make possible a quantitative analysis of observations (e.g., a seismometer can record seismic waves, which are only felt by humans as transient phenomena). Scientific data are routinely processed before making inferences on the spatio-temporal distribution of physical quantities and/or physical processes (e.g., arrival times for seismic P-waves are extracted from continuous seismic recordings to infer the position of a seismic source). Processing steps can be necessary to remove spurious data (e.g., arrival times from seismic sensors that are not synchronized), but also to enhance data to better represent the most relevant signal for the problem being investigated (e.g., seismic waveforms may be filtered in the frequency domain before picking relative arrival times by cross-correlation (VanDecar & Crosson, 1990), for a clear identification of phases and for removing noise-site-effect interferences with targeted signal wavelet). Geo-scientific data are especially challenging, because they are generally used to make inferences on physical quantities which are not directly measurable, but need to be estimated by solving an inverse problem (Tarantola, 2005), where processed measurements (e.g., P-wave arrival times or maximum wavelet amplitudes) are combined with hypotheses about the physics of the system (e.g., models of seismic wave propagation in the rock volume or seismic energy released by source). In this case, data processing typically includes selecting a subset of the data that is most relevant for the problem at hand (e.g., by removing arrival times for P-waves that do not travel directly from source to receiver). Additionally, seemingly less accurate data are often excluded or apriori downweighted to make them less influential in the final solution (e.g., arrival times recorded at distant seismic sensors that are likely to show larger effect of influence by attenuation or scattering along the ray-path). These data processing steps are usually based on expert opinion, but expert decisions made a priori before solving the inverse problem can be somewhat arbitrary and bias the inversion results

Weighing geophysical data with trans-dimensional algorithms: An earthquake location case study

In geophysical inverse problems, the distribution of physical properties in an Earth model is inferred from a set of measured data. A necessary step is to select data that are best suited to the problem at hand. This step is performed ahead of solving the inverse problem, generally on the basis of expert knowledge. However, expert-opinion can introduce bias based on pre-conceptions. Here we apply a trans-dimensional algorithm to automatically weigh data on the basis of how consistent they are with the fundamental assumptions made to solve the inverse problem. We demonstrate this approach by inverting arrival times for the location of a seismic source in an elastic half space, under the assumptions of a point source and constant velocities. The key advantage is that the data do no longer need to be selected by an expert, but they are assigned varying weights during the inversion procedure.Funder: Ministero dell’Istruzione e del Merito;Full text license: CC BY, "Authors retain copyright to all content posted on ESS Open Archive. The submitting author must be the copyright holder or have the appropriate permission from the copyright holder to submit all content. ESS Open Archive offers five separate licenses to authors."</p

L’union fait la force :traitement des troubles fonctionnels complexes à l’adolescence [Together we are stronger: management of complex functional disorders during adolescence]

Functional disorder during adolescence is a very complex problem too often limited to a psychological origin. Its pathogenesis remains unclear but it definitively associates individual and environmental factors. Recent data show anatomo-functional evidence of neural networks of the brain that is involved in pain and its psychological representation as well as the representation of pain in the body. We describe a holistic approach to manage functional disorders that include the family and promote adolescent centered care in order to reach a rapid and optimal rehabilitation

Quand tout est gelé, se remettre à bouger : programme FIT@CHUV [When everything is frozen, start moving again: the FIT@CHUV program]

The adolescent's painful functional disorders deserve management by a specialized interdisciplinary team. In recent years, intensive interdisciplinary physical therapy (IIPT) programs have developed in a hospital environment in Europe and around the world. While the short-term objective is often to restore trust between the patient and the therapists by relieving parents of the need to coordinate a network of multidisciplinary practitioners. These programs have proven to be effective in the medium and long term in improving the patient's clinical performance and for the benefits associated with restoring normal life for the family. Finally, these programs can have a positive impact in a cost-benefit approach when considering these often long and complex care arrangements