Estimation of the correlation structure of crustal velocity heterogeneity from seismic reflection data

Numerous sources of evidence point to the fact that heterogeneity within the Earth's deep crystalline crust is complex and hence may be best described through stochastic rather than deterministic approaches. As seismic reflection imaging arguably offers the best means of sampling deep crustal rocks in situ, much interest has been expressed in using such data to characterize the stochastic nature of crustal heterogeneity. Previous work on this problem has shown that the spatial statistics of seismic reflection data are indeed related to those of the underlying heterogeneous seismic velocity distribution. As of yet, however, the nature of this relationship has remained elusive due to the fact that most of the work was either strictly empirical or based on incorrect methodological approaches. Here, we introduce a conceptual model, based on the assumption of weak scattering, that allows us to quantitatively link the second-order statistics of a 2-D seismic velocity distribution with those of the corresponding processed and depth-migrated seismic reflection image. We then perform a sensitivity study in order to investigate what information regarding the stochastic model parameters describing crustal velocity heterogeneity might potentially be recovered from the statistics of a seismic reflection image using this model. Finally, we present a Monte Carlo inversion strategy to estimate these parameters and we show examples of its application at two different source frequencies and using two different sets of prior information. Our results indicate that the inverse problem is inherently non-unique and that many different combinations of the vertical and lateral correlation lengths describing the velocity heterogeneity can yield seismic images with the same 2-D autocorrelation structure. The ratio of all of these possible combinations of vertical and lateral correlation lengths, however, remains roughly constant which indicates that, without additional prior information, the aspect ratio is the only parameter describing the stochastic seismic velocity structure that can be reliably recovered.

Correlation of wear in vivo and six laboratory wear methods.

OBJECTIVE: We examined the correlation between clinical wear rates of restorative materials and enamel (TRAC Research Foundation, Provo, USA) and the results of six laboratory test methods (ACTA, Alabama (generalized, localized), Ivoclar (vertical, volumetric), Munich, OHSU (abrasion, attrition), Zurich). METHODS: Individual clinical wear data were available from clinical trials that were conducted by TRAC Research Foundation (formerly CRA) together with general practitioners. For each of the n=28 materials (21 composite resins for intra-coronal restorations [20 direct and 1 indirect], 5 resin materials for crowns, 1 amalgam, enamel) a minimum of 30 restorations had been placed in posterior teeth, mainly molars. The recall intervals were up to 5 years with the majority of materials (n=27) being monitored, however, only for up to 2 years. For the laboratory data, the databases MEDLINE and IADR abstracts were searched for wear data on materials which were also clinically tested by TRAC Research Foundation. Only those data for which the same test parameters (e.g. number of cycles, loading force, type of antagonist) had been published were included in the study. A different quantity of data was available for each laboratory method: Ivoclar (n=22), Zurich (n=20), Alabama (n=17), OHSU and ACTA (n=12), Munich (n=7). The clinical results were summed up in an index and a linear mixed model was fitted to the log wear measurements including the following factors: material, time (0.5, 1, 2 and 3 years), tooth (premolar/molar) and gender (male/female) as fixed effects, and patient as random effect. Relative ranks were created for each material and method; the same was performed with the clinical results. RESULTS: The mean age of the subjects was 40 (±12) years. The materials had been mostly applied in molars (81%) and 95% of the intracoronal restorations were Class II restorations. The mean number of individual wear data per material was 25 (range 14-42). The mean coefficient of variation of clinical wear data was 53%. The only significant correlation was reached by OHSU (abrasion) with a Spearman r of 0.86 (p=0.001). Zurich, ACTA, Alabama generalized wear and Ivoclar (volume) had correlation coefficients between 0.3 and 0.4. For Zurich, Alabama generalized wear and Munich, the correlation coefficient improved if only composites for direct use were taken into consideration. The combination of different laboratory methods did not significantly improve the correlation. SIGNIFICANCE: The clinical wear of composite resins is mainly dependent on differences between patients and less on the differences between materials. Laboratory methods to test conventional resins for wear are therefore less important, especially since most of them do not reflect the clinical wear.

Microsatellites can be misleading: an empirical and simulation study.

It has been long recognized that highly polymorphic genetic markers can lead to underestimation of divergence between populations when migration is low. Microsatellite loci, which are characterized by extremely high mutation rates, are particularly likely to be affected. Here, we report genetic differentiation estimates in a contact zone between two chromosome races of the common shrew (Sorex araneus), based on 10 autosomal microsatellites, a newly developed Y-chromosome microsatellite, and mitochondrial DNA. These results are compared to previous data on proteins and karyotypes. Estimates of genetic differentiation based on F- and R-statistics are much lower for autosomal microsatellites than for all other genetic markers. We show by simulations that this discrepancy stems mainly from the high mutation rate of microsatellite markers for F-statistics and from deviations from a single-step mutation model for R-statistics. The sex-linked genetic markers show that all gene exchange between races is mediated by females. The absence of male-mediated gene flow most likely results from male hybrid sterility.

Is MDCT enough reliable for the evaluation of acute colitis including the underlying etiology? : correlation with colonoscopy and pathology : P2

Purpose: 1. To assess the diagnostic value of MDCT for acute colitis of various origin confirmed by colonoscopy and histology. 2. To evaluate the accuracy of MDCT of making the correct differential diagnosis. Methods and materials: The electronic hospital database from January 2006 to August 2008 revealed 351 patients with acute colitis of any origin wdetected by colonoscopy. In 85 out of these patients MDCT had been simultaneously performed (delay 3.1 days). Two radiologists jointly reviewed their corresponding CT features without knowledge of pathology and correlated them with the final histological diagnosis. Results: Eighty patients were finally included (46 women, mean age 63.4). Colitis was of ischemic (n = 35, 44%) or infectious (n = 15, 19%) origin. 18 patients (23%) had acute ulcerative colitis or Crohn's disease, in 10 patients (12%) another inflammatory cause and in two patients (2%) post radiation colitis was proven. MDCT was positive in 63 patients (78.9%). In 11 out of the 17 negative MDCT, the examination had been performed without large bowel distention. Ischemic colitis was responsible for 47.1% of the negative MDCT. Correct differential diagnosis was made in 32 (50.7%) out of the 63 positive MDCT. Among the different etiologies, the ischemic colitis was the most often misdiagnosed cause (n = 17, 58.6%). Conclusion: Large bowel distension is mandatory for reliable MDCT detection of acute colitis of any origin. Among the different aetiologies the ischemic cause is the most often associated with false negative MDCT findings and, in case of positive features, the most difficult to recognize as such.

Correlation of tumor-associated antigens MAGE, NY-ESO-1 and P53 expression with clinical and pathological relationships of patients with oral squamous cell carcinoma

Despite advances in the diagnosisand treatment of head and neck cancer,survival rates have not improvedover recent years. New therapeuticstrategies, including immunotherapy,are the subject of extensive research.In several types of tumors, the presenceof tumor infiltrating lymphocytes(TILs), notably CD8+ T cellsand dendritic cells, has been correlatedwith improved prognosis. Moreover,some T cells among TILs havebeen shown to kill tumor cells in vitroupon recognition of tumor-associatedantigens. Tumor associated antigensare expressed in a significant proportionof squamous cell carcinoma ofthe head and neck and apparently mayplay a role in the regulation of cancercell growth notably by inhibition ofp53 protein function in some cancers.The MAGE family CT antigens couldtherefore potentially be used as definedtargets for immunotherapy andtheir study bring new insight in tumorgrowth regulation mechanisms. Between1995 - 2005 54 patients weretreated surgically in our institution forsquamous cell carcinoma of the oralcavity. Patient and clinical data wasobtained from patient files and collectedinto a computerized database.For each patient, paraffin embeddedtumor specimens were retrieved andexpression of MAGE CT antigens,p53, NY-OESO-1 were analyzed byimmunohistochemistry. Results werethen correlated with histopathologicalparameter such as tumor depth,front invasion according to Bryne andboth, local control and disease freesurvival. MAGE-A was expressed in52% of patients. NY-ESO-1 and p53expression was found in 7% and 52%cases respectively. A higher tumordepth was significantly correlatedwith expression of MAGE-Aproteins(p = 0.03). No significant correlationcould be made between the expressionof both p53 andNY-OESO-1 andhistopathological parameters. Expressionof tumor-associated antigendid not seem to impact significantlyon patient prognosis. As does thedemonstration of p53 function inhibitionby CT antigens of MAGE family,our results suggest, that tumor associatedantigens may be implicated in tumorprogression mechanisms. Thishypothesis need further investigationto clarify the relationship betweenhost immune response and local tumorbiology.

Heterogeneity of Ia antigen expression on myeloblastic leukaemias: correlation with stage of maturation defined by cytochemical markers.

The expression of Ia-like antigen (Ia) has been studied in 55 cases of acute myeloid leukaemia (AML) in correlation with the expression of both Sudan Black (SB) and naphthol AS-D chloroacetate esterase (NCAE) stains. Operationally the AML cases were divided into three groups using only NCAE expression on the leukaemic cells: the first group with early maturation stage (MS1) consisted of 30 cases with less than 10% NCAE positive cells (SB: 15-100%): the MS2 group of 14 cases with 10-70% NCAE positive cells (SB: 65-100%) and the MS3 group of 11 cases with 70-100% NCAE positive cells (SB: 89-100%). Ia expression was determined by complement-dependent cytotoxicity, immunofluorescence and immunoperoxidase methods. A similar high percentage (80%) of patients from both group MS1 and MS2 expressed Ia on the surface of 32-100% of the cells. Furthermore, individual comparison of all cases from these two groups showed no correlation between Ia, NCAE and SB expression. Only in the 11 cases from the MS3 group, which included nine cases of promyelocytic leukaemias, was there a correlation between very low expression of Ia antigen with the high NCAE expression. Thus, for AML with a low degree of differentiation the expression of Ia seems to be independent of conventional cytochemical markers of cell maturation.

Expression of human estrogen receptor mutants in Xenopus oocytes: correlation between transcriptional activity and ability to form protein-DNA complexes.

The human estrogen receptor (hER) is a trans-acting regulatory protein composed of a series of discrete functional domains. We have microinjected an hER expression vector (HEO) into Xenopus oocyte nuclei and demonstrate, using Western blot assay, that the hER is synthesized. When nuclear extracts from oocytes were prepared and incubated in the presence of a 2.7 kb DNA fragment comprising the 5' end of the vitellogenin gene B2, formation of estrogen-dependent complexes could be visualized by electron microscopy over the estrogen responsive element (ERE). Of crucial importance is the observation that the complex formation is inhibited by the estrogen antagonist tamoxifen, is restored by the addition of the hormone and does not take place with extracts from control oocytes injected with the expression vector lacking the sequences encoding the receptor. The presence of the biologically active hER is confirmed in co-injection experiments, in which HEO is co-introduced with a CAT reporter gene under the control of a vitellogenin promoter containing or lacking the ERE. CAT assays and primer extensions analyses reveal that both the receptor and the ERE are essential for estrogen induced stimulation of transcription. The same approach was used to analyze selective hER mutants. We find that the DNA binding domain (region C) is essential for protein--DNA complex formation at the ERE but is not sufficient by itself to activate transcription from the reporter gene. In addition to region C, both the hormone binding (region E) and amino terminal (region A/B) domains are needed for an efficient transcription activation.(ABSTRACT TRUNCATED AT 250 WORDS)

Correlation between plasma and urine phenylalanine concentrations.

In this pilot study, we show that plasma phenylalanine concentration can be predicted from urine concentration if the age of the patient is taken into consideration. This observation could open the way to a new monitoring of phenylketonuric patients in which painful frequent blood sampling, mandatory to adapt the low phenylalanine diet, could be mostly replaced by urinalysis. Compliance to treatment would be improved and hence also the ultimate mental development. Since this study was based on a small number of patients, validation of the model in a large multicentric survey is needed before it can be recommended.

Multimodel inference and multimodel averaging in empirical modeling of occupational exposure levels.

Empirical modeling of exposure levels has been popular for identifying exposure determinants in occupational hygiene. Traditional data-driven methods used to choose a model on which to base inferences have typically not accounted for the uncertainty linked to the process of selecting the final model. Several new approaches propose making statistical inferences from a set of plausible models rather than from a single model regarded as 'best'. This paper introduces the multimodel averaging approach described in the monograph by Burnham and Anderson. In their approach, a set of plausible models are defined a priori by taking into account the sample size and previous knowledge of variables influent on exposure levels. The Akaike information criterion is then calculated to evaluate the relative support of the data for each model, expressed as Akaike weight, to be interpreted as the probability of the model being the best approximating model given the model set. The model weights can then be used to rank models, quantify the evidence favoring one over another, perform multimodel prediction, estimate the relative influence of the potential predictors and estimate multimodel-averaged effects of determinants. The whole approach is illustrated with the analysis of a data set of 1500 volatile organic compound exposure levels collected by the Institute for work and health (Lausanne, Switzerland) over 20 years, each concentration having been divided by the relevant Swiss occupational exposure limit and log-transformed before analysis. Multimodel inference represents a promising procedure for modeling exposure levels that incorporates the notion that several models can be supported by the data and permits to evaluate to a certain extent model selection uncertainty, which is seldom mentioned in current practice.

The correlation between inbreeding and fitness: does allele size matter?

The availability of highly polymorphic genetic markers, in particular microsatellites, has made it possible to test the effect of inbreeding on fitness in the field and in the absence of pedigree information. It has been suggested that the squared difference in allele size at a locus (d(2)) might be a better indicator of the level of inbreeding than is heterozygosity. Using an elegant new analytical model, Tsitrone et al. now put this idea to the test, and to rest.

Climate-based empirical models show biased predictions of butterfly communities along environmental gradients

A better understanding of the factors that mould ecological community structure is required to accurately predict community composition and to anticipate threats to ecosystems due to global changes. We tested how well stacked climate-based species distribution models (S-SDMs) could predict butterfly communities in a mountain region. It has been suggested that climate is the main force driving butterfly distribution and community structure in mountain environments, and that, as a consequence, climate-based S-SDMs should yield unbiased predictions. In contrast to this expectation, at lower altitudes, climate-based S-SDMs overpredicted butterfly species richness at sites with low plant species richness and underpredicted species richness at sites with high plant species richness. According to two indices of composition accuracy, the Sorensen index and a matching coefficient considering both absences and presences, S-SDMs were more accurate in plant-rich grasslands. Butterflies display strong and often specialised trophic interactions with plants. At lower altitudes, where land use is more intense, considering climate alone without accounting for land use influences on grassland plant richness leads to erroneous predictions of butterfly presences and absences. In contrast, at higher altitudes, where climate is the main force filtering communities, there were fewer differences between observed and predicted butterfly richness. At high altitudes, even if stochastic processes decrease the accuracy of predictions of presence, climate-based S-SDMs are able to better filter out butterfly species that are unable to cope with severe climatic conditions, providing more accurate predictions of absences. Our results suggest that predictions should account for plants in disturbed habitats at lower altitudes but that stochastic processes and heterogeneity at high altitudes may limit prediction success of climate-based S-SDMs.

. Phenotype/genotype correlation associated with a novel nonsense Glu20stop mutation in the Rp2 gene in a three-generation family with x-linked retinitis pigmentosa

Purpose: To assess the phenotype of patients in a large 3 generation Swiss family with X-linked retinitis pigmentosa (XLRP) due to a novel nonsense mutation Glu20stop in RP2 gene and to correlate with the genotype. Methods: 6 affected patients (1 male, 5 females, age range: 23 - 73 years) were assessed with a complete ophthalmologic examination. All had fundus autofluorescence images, standardised electroretinography, Goldmann visual fields and Optical Coherence Tomography. In addition, medical records of 2 affected male patients were reviewed. Blood sample was taken for molecular analysis. Results: The male patients were severely affected at a young age with early macular involvement. The youngest 23 y old male had also high myopia and vision of less than 0.05 according to Snellen EDTRS chart bilaterally. All 5 female carriers had some degree of rod-cone dystrophy, but no macular involvement. The visual acuity was 1.0 in the younger carriers, while the 73 years old had VA of 0.5. Two females had mild myopia (range -0.75 to -2) and one had anisometropia of 3.5D, with the more severely affected eye being myopic. Three out of 5 female carriers had optic nerve drusen. Conclusions: We report a novel Glu20stop mutation in RP2 gene, which is a rare cause of XLRP. Our description of severe phenotype in male patients with high myopia and early macular atrophy confirms previous reports. Unlike previous reports, all our female carriers had RP, but not macular involvement or high myopia. The identifiable phenotype for RP2-XLRP aids in clinical diagnosis and targeted genetic screening.

Solitary fibrous tumor of the lateral ventricle: CT appearances and pathologic correlation with follow-up.

Intracranial solitary fibrous tumors are rare, and intraventricular fibrous tumors are even more unusual. We report a case of solitary fibrous tumor in the region of trigone and body of the left lateral ventricle and discuss the clinical presentation, CT characteristics, and histopathologic features with 1-year follow-up. We speculate that the tumor arose from the perivascular connective tissue of the choroid plexus.