Risk Attitude And Wage Growth: Replication And Reconstruction

We replicate Shaw (1996) who found that individual wage growth is higher for individuals with greater preference for risk taking. Expanding her dataset with more American observations and data for Germany, Spain and Italy, we find mixed support for the earlier results. We present and estimate a new model and find that in particular the wage level is sensitive to attitudes towards risk taking. Comments given at the Labour Economics Conference in honour of Niels Westergaard (Nyborg, August 2008) and EALE 2008 (Amsterdam) and at seminars in Maastricht,Reus and Essen (RWI) are gratefully acknowledged. The authors also acknowledge financial support from the Spanish Ministry of Science and Innovation (grant number SEJ2007-66318) and from the Barcelona Economics Program of CREA. JEL code: J24; J30. Key words: wage growth, risk, post-school investment.

Some variational problems from image processing

"Vegeu el resum a l'inici del document del fitxer adjunt."

Indications et techniques actuelles de reconstruction mammaire après mastectomie [Indications and techniques of reconstruction after mastectomy].

Reconstructive surgery takes an important place in breast cancer treatment. Immediate breast reconstruction is performed during the same operation as mastectomy. It is contraindicated following radiotherapy. Reconstruction performed after mastectomy is called differed breast reconstruction. It is completed 6 months after chemotherapy and 1 year after radiotherapy. Prosthetic breast reconstruction is indicated when tissues are of good qualities and breast are small. Autologous reconstruction is performed in case of radiotherapy or large breast. After breast reconstruction, imperfections can be corrected with autologous fat injection.

Generating controlled image sets in cognitive neuroscience research.

The investigation of perceptual and cognitive functions with non-invasive brain imaging methods critically depends on the careful selection of stimuli for use in experiments. For example, it must be verified that any observed effects follow from the parameter of interest (e.g. semantic category) rather than other low-level physical features (e.g. luminance, or spectral properties). Otherwise, interpretation of results is confounded. Often, researchers circumvent this issue by including additional control conditions or tasks, both of which are flawed and also prolong experiments. Here, we present some new approaches for controlling classes of stimuli intended for use in cognitive neuroscience, however these methods can be readily extrapolated to other applications and stimulus modalities. Our approach is comprised of two levels. The first level aims at equalizing individual stimuli in terms of their mean luminance. Each data point in the stimulus is adjusted to a standardized value based on a standard value across the stimulus battery. The second level analyzes two populations of stimuli along their spectral properties (i.e. spatial frequency) using a dissimilarity metric that equals the root mean square of the distance between two populations of objects as a function of spatial frequency along x- and y-dimensions of the image. Randomized permutations are used to obtain a minimal value between the populations to minimize, in a completely data-driven manner, the spectral differences between image sets. While another paper in this issue applies these methods in the case of acoustic stimuli (Aeschlimann et al., Brain Topogr 2008), we illustrate this approach here in detail for complex visual stimuli.

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI.

Validation is arguably the bottleneck in the diffusion magnetic resonance imaging (MRI) community. This paper evaluates and compares 20 algorithms for recovering the local intra-voxel fiber structure from diffusion MRI data and is based on the results of the "HARDI reconstruction challenge" organized in the context of the "ISBI 2012" conference. Evaluated methods encompass a mixture of classical techniques well known in the literature such as diffusion tensor, Q-Ball and diffusion spectrum imaging, algorithms inspired by the recent theory of compressed sensing and also brand new approaches proposed for the first time at this contest. To quantitatively compare the methods under controlled conditions, two datasets with known ground-truth were synthetically generated and two main criteria were used to evaluate the quality of the reconstructions in every voxel: correct assessment of the number of fiber populations and angular accuracy in their orientation. This comparative study investigates the behavior of every algorithm with varying experimental conditions and highlights strengths and weaknesses of each approach. This information can be useful not only for enhancing current algorithms and develop the next generation of reconstruction methods, but also to assist physicians in the choice of the most adequate technique for their studies.

L'éthique protestante dans la crise de la modernité. Généalogie, critique, reconstruction

L'éthicien Denis Müller présente ici une généalogie, une critique et une reconstruction théologique de l'éthique protestante. Dans un premier moment, l'auteur réfléchit à la transformation considérable qui semble affecter aujourd'hui la situation de l'éthique théologique. Dans un deuxième temps est abordée la problématique de la post-modernité dans sa dynamique de déconstruction qui affecte évidemment les modèles éthiques antérieurs. Dans une troisième partie, coeur de l'ouvrage, Denis Müller propose un modèle de reconstruction de l'éthique théologique où sont abordées des questions centrales pour toute sensibilité protestante et chrétienne: la tradition, la signification de l'herméneutique, l'usage de la Bible.

MSight: an image analysis software for liquid chromatography-mass spectrometry.

Images obtained from high-throughput mass spectrometry (MS) contain information that remains hidden when looking at a single spectrum at a time. Image processing of liquid chromatography-MS datasets can be extremely useful for quality control, experimental monitoring and knowledge extraction. The importance of imaging in differential analysis of proteomic experiments has already been established through two-dimensional gels and can now be foreseen with MS images. We present MSight, a new software designed to construct and manipulate MS images, as well as to facilitate their analysis and comparison.

Giant extraskeletal myxoid chondrosarcoma of the thigh treated by wide extraarticular resection and reconstruction with a tumor prosthesis

Introduction: Extraskeletal myxoid chondrosarcoma (EMC) is a rare soft tissue tumour with a high risk for local recurrence and metastases. While this entity is resistant to radio- or chemo-therapy, wide resection remains the treatment of choice. Case report: A 60 year old man presented to our service with a large mass in his right thigh, slowly evolving over the past 7 years. His main complaint was the volume of his thigh. Imaging showed a 23x13x14 cm tumour in the quadriceps, eroding the cortical bone and with potential contamination of the knee joint. The risk of a pathological fracture was estimated considerable. A CT-guided core-needle biopsy revealed a FNCLCC grade 2 EMC. A thoraco-abdominal CT scan showed multiple pulmonary metastases. Due to the palliative situation with a very slow disease progression, a wide extraarticular resection of the distal femur and reconstruction with a megaprosthesis were performed. Extensive skin necrosis necessitated three revision procedures for débridement and confection of a pediculated lateral gastrocnemius muscle flap. No complementary treatment was possible for the pulmonary metastases. At 18 months follow-up, he walked without crutches, was able to do his activities of daily living. He was painfree and highly satisfied with the result. During the follow-up, slow progression of the pulmonary metastases was noted, which remained asymptomatic. Conclusion: Extraskeletal myxoid chondrosarcoma is a rare soft tissue tumour, and wide excision remains the treatment of choice. Whenever possible, limb salvage should be proposed to preserve function and quality of life.