A comparison of the alr and ilr transformations for kernel density estimation of compositional data

In a seminal paper, Aitchison and Lauder (1985) introduced classical kernel densityestimation techniques in the context of compositional data analysis. Indeed, they gavetwo options for the choice of the kernel to be used in the kernel estimator. One ofthese kernels is based on the use the alr transformation on the simplex SD jointly withthe normal distribution on RD-1. However, these authors themselves recognized thatthis method has some deficiencies. A method for overcoming these dificulties based onrecent developments for compositional data analysis and multivariate kernel estimationtheory, combining the ilr transformation with the use of the normal density with a fullbandwidth matrix, was recently proposed in Martín-Fernández, Chacón and Mateu-Figueras (2006). Here we present an extensive simulation study that compares bothmethods in practice, thus exploring the finite-sample behaviour of both estimators

Multi-modal distraction: insights from children's limited attention.

How does the multi-sensory nature of stimuli influence information processing? Cognitive systems with limited selective attention can elucidate these processes. Six-year-olds, 11-year-olds and 20-year-olds engaged in a visual search task that required them to detect a pre-defined coloured shape under conditions of low or high visual perceptual load. On each trial, a peripheral distractor that could be either compatible or incompatible with the current target colour was presented either visually, auditorily or audiovisually. Unlike unimodal distractors, audiovisual distractors elicited reliable compatibility effects across the two levels of load in adults and in the older children, but high visual load significantly reduced distraction for all children, especially the youngest participants. This study provides the first demonstration that multi-sensory distraction has powerful effects on selective attention: Adults and older children alike allocate attention to potentially relevant information across multiple senses. However, poorer attentional resources can, paradoxically, shield the youngest children from the deleterious effects of multi-sensory distraction. Furthermore, we highlight how developmental research can enrich the understanding of distinct mechanisms controlling adult selective attention in multi-sensory environments.

Multi-modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 data fusion contest

The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion. This paper presents the four awarded algorithms and the conclusions of the contest, investigating both supervised and unsupervised methods and the use of multi-modal data for flood detection. Interestingly, a simple unsupervised change detection method provided similar accuracy as supervised approaches, and a digital elevation model-based predictive method yielded a comparable projected change detection map without using post-event data.

Quality of life transformations before and after kidney transplantation: A prospective qualitative study.

The aim of this IRB-approved study was to analyze prospectively quality of life (QOL) and psychological changes in 30 ESRD patients before and after kidney transplantation (KT). Semi-structured interviews were conducted after inclusion on the waiting list (A). Follow-up interviews were performed 6 months later with patients still awaiting KT (B6, n= 15), and with transplant recipients 6, 12 and 24 months after KT (C6, n=15; C12, n=15; C24, n=14). Qualitative thematic analysis was performed. A: All patients reported loss of freedom, 87% tried to maintain normality; 57% modified medical directives. All mentioned emotional fragility, negative thoughts (43%), and suicidal thoughts (20%) related to loss of QOL from dialysis (D), and professional tension (26%). B6: 40% reported no change compared to baseline, while 60% mentioned increase of illness intrusiveness, 46% D side effects, 40% communication problems, and 33% concerns about the waiting list handling. Fear of emotional breakdown (40%), couple problems (47%), and worsened professional difficulties (20%) were reported. C6: All patients reported recovery of QOL and concerns about acute rejection. 73% were anxious about laboratory results. 93% felt dependent on immunosuppressants (IS), 47% reported difficulties coping with their regimen, and 47% were concerned about side effects; 67% had resumed work, but medical constraints led 40% to professional stigmatization. C12: All enjoyed good QOL. Adherence to IS was mandatory (100%). All were aware of the limited long-term graft survival and 47% anxious about a possible return to D. 60% underlined positive life value; 47% resumed a full time job; 40% were on social security. C24: Good QOL was underlined (86%). Patients stated they would prefer re-TX to resuming D (71%). Post-TX health problems were mentioned (64%); increase of creatinine levels induced fear (36%). 79% complained about side effects. 64% reported changes in life values. This study reveals positive QOL and psychological transformations after KT, which are associated with positive changes related to graft survival and freedom from D. Psychological follow-up should be offered to patients who face relapsing ESRD or post-TX co-morbidities.

Voice Transformations for Extreme Vocal Effects

Extreme Vocal Effects (EVE) in music are so recent that few studies have been carried out about how they are physiologically produced and whether they are harmful or not for the human voice.Voice Transformations in real-time are possible nowadays thanks to new technologies and voice processing algorithms. This Master's Thesis pretends to define and classify these new singing techniques and to create a mapping between the physiological aspect of each EVE to its relative spectrumvariations.Voice Transformation Models based on these mappings are proposed and discussed for each one of these EVEs. We also discuss different transformation methods and strategies in order to obtain better results.A subjective evaluation of the results of the transformations is also presented and discussed along with further work, improvements, and working lines on this field.

Psychological transformations in kidney transplantation: A prospective qualitative study

The aim of this IRB-approved study was to prospectively analyze psychological transformations in ESRD patients before and after transplantation (KT). Semi-structured interviews were conducted in 30 patients (mean age = 53±10) after their inclusion on the waiting-list (Gr. A). Follow-up interviews were performed 6 months later in 15 patients still awaiting KT (Gr. B6), and in 15 patients 6 months (Gr. C6) and 12 months (Gr. C12) after KT. Qualitative analysis was performed. Gr: A:All patients underlined loss of freedom, 87% devoted much energy to maintain normality, 57% modified medical directives. All reported emotional fragility related to dialysis and loss of quality of life (QOL), negative (43%) or suicidal thoughts (20%). Professional stigma was underlined (26%). Gr: B6:40% reported no change, 60% mentioned increase of illness intrusiveness, 46% dialysis side-effects, 40% communication problems, 33% tension with medical staff and waiting list handling. Fear of emotional breakdown (40%), couple problems (47%) and worsened professional difficulties (20%) were reported. Gr: C6:All patients mentioned improved QOL and freedom recovery (87%). All expressed concerns about possible acute rejection, 73% were anxious about laboratory results, 93% experienced dependence to immunosuppressants, 47% reported difficulties in handling medication, 21% feared to forget them, 47% were concerned about side-effects, 67% had resumed work but medical constraints led to professional tension (40%). Gr: C12:All mentioned recovered QOL. Medical controls were accepted as a routine (87%) and adherence to medication was mandatory (100%). All mentioned the limited long-term graft survival and 47% were anxious about possible return to dialysis, especially younger patients (27%). Positive identity and existential changes were reported (60%). This prospective qualitative study identifies psychological modifications in the course of KT. It provides a basis to adequately address concerns, but it shows also that KT is clearly associated with positive psychological transformations.

Power transformations in correspondence analysis

Power transformations of positive data tables, prior to applying the correspondence analysis algorithm, are shown to open up a family of methods with direct connections to the analysis of log-ratios. Two variations of this idea are illustrated. The first approach is simply to power the original data and perform a correspondence analysis this method is shown to converge to unweighted log-ratio analysis as the power parameter tends to zero. The second approach is to apply the power transformation to thecontingency ratios, that is the values in the table relative to expected values based on the marginals this method converges to weighted log-ratio analysis, or the spectral map. Two applications are described: first, a matrix of population genetic data which is inherently two-dimensional, and second, a larger cross-tabulation with higher dimensionality, from a linguistic analysis of several books.

Robust response transformations based on optimal prediction

Nonlinear regression problems can often be reduced to linearity by transforming the response variable (e.g., using the Box-Cox family of transformations). The classic estimates of the parameter defining the transformation as well as of the regression coefficients are based on the maximum likelihood criterion, assuming homoscedastic normal errors for the transformed response. These estimates are nonrobust in the presence of outliers and can be inconsistent when the errors are nonnormal or heteroscedastic. This article proposes new robust estimates that are consistent and asymptotically normal for any unimodal and homoscedastic error distribution. For this purpose, a robust version of conditional expectation is introduced for which the prediction mean squared error is replaced with an M scale. This concept is then used to develop a nonparametric criterion to estimate the transformation parameter as well as the regression coefficients. A finite sample estimate of this criterion based on a robust version of smearing is also proposed. Monte Carlo experiments show that the new estimates compare favorably with respect to the available competitors.

The modal nature of structures in ontic structural realism

Ontic structural realism is the view that structures are what is real in the first place in the domain of fundamental physics. The structures are usually conceived as including a primitive modality. However, it has not been spelled out as yet what exactly that modality amounts to. This paper proposes to fill this lacuna by arguing that the fundamental physical structures possess a causal essence, being powers. Applying the debate about causal vs. categorical properties in analytic metaphysics to ontic structural realism, I show that the standard argument against categorical and for causal properties holds for structures as well. Structural realism, as a position in the metaphysics of science that is a form of scientific realism, is committed to causal structures. The metaphysics of causal structures is supported by physics, and it can provide for a complete and coherent view of the world that includes all domains of empirical science.