Feasibility of direct mapping of cerebral fluorodeoxy-D-glucose metabolism in situ at subcellular resolution using soft X-ray fluorescence.

Glucose metabolism is difficult to image with cellular resolution in mammalian brain tissue, particularly with (18) fluorodeoxy-D-glucose (FDG) positron emission tomography (PET). To this end, we explored the potential of synchrotron-based low-energy X-ray fluorescence (LEXRF) to image the stable isotope of fluorine (F) in phosphorylated FDG (DG-6P) at 1 μm(2) spatial resolution in 3-μm-thick brain slices. The excitation-dependent fluorescence F signal at 676 eV varied linearly with FDG concentration between 0.5 and 10 mM, whereas the endogenous background F signal was undetectable in brain. To validate LEXRF mapping of fluorine, FDG was administered in vitro and in vivo, and the fluorine LEXRF signal from intracellular trapped FDG-6P over selected brain areas rich in radial glia was spectrally quantitated at 1 μm(2) resolution. The subsequent generation of spatial LEXRF maps of F reproduced the expected localization and gradients of glucose metabolism in retinal Müller glia. In addition, FDG uptake was localized to periventricular hypothalamic tanycytes, whose morphological features were imaged simultaneously by X-ray absorption. We conclude that the high specificity of photon emission from F and its spatial mapping at ≤1 μm resolution demonstrates the ability to identify glucose uptake at subcellular resolution and holds remarkable potential for imaging glucose metabolism in biological tissue. © 2012 Wiley Periodicals, Inc.

On the diurnal soil water content dynamics during evaporation using dielectric methods

The water content dynamics in the upper soil surface during evaporation is a key element in land-atmosphere exchanges. Previous experimental studies have suggested that the soil water content increases at the depth of 5 to 15 cm below the soil surface during evapo- ration, while the layer in the immediate vicinity of the soil surface is drying. In this study, the dynamics of water content profiles exposed to solar radiative forcing was monitored at a high temporal resolution using dielectric methods both in the presence and absence of evaporation. A 4-d comparison of reported moisture content in coarse sand in covered and uncovered buckets using a commercial dielectric-based probe (70 MHz ECH2O-5TE, Decagon Devices, Pullman, WA) and the standard 1-GHz time domain reflectometry method. Both sensors reported a positive correlation between temperature and water content in the 5- to 10-cm depth, most pronounced in the morning during heating and in the afternoon during cooling. Such positive correlation might have a physical origin induced by evaporation at the surface and redistribution due to liquid water fluxes resulting from the temperature- gradient dynamics within the sand profile at those depths. Our experimental data suggest that the combined effect of surface evaporation and temperature-gradient dynamics should be considered to analyze experimental soil water profiles. Additional effects related to the frequency of operation and to protocols for temperature compensation of the dielectric sensors may also affect the probes' response during large temperature changes.

Robust Nonlinear Mapping of Soil Contamination Using Support Regression

Spatial data analysis mapping and visualization is of great importance in various fields: environment, pollution, natural hazards and risks, epidemiology, spatial econometrics, etc. A basic task of spatial mapping is to make predictions based on some empirical data (measurements). A number of state-of-the-art methods can be used for the task: deterministic interpolations, methods of geostatistics: the family of kriging estimators (Deutsch and Journel, 1997), machine learning algorithms such as artificial neural networks (ANN) of different architectures, hybrid ANN-geostatistics models (Kanevski and Maignan, 2004; Kanevski et al., 1996), etc. All the methods mentioned above can be used for solving the problem of spatial data mapping. Environmental empirical data are always contaminated/corrupted by noise, and often with noise of unknown nature. That's one of the reasons why deterministic models can be inconsistent, since they treat the measurements as values of some unknown function that should be interpolated. Kriging estimators treat the measurements as the realization of some spatial randomn process. To obtain the estimation with kriging one has to model the spatial structure of the data: spatial correlation function or (semi-)variogram. This task can be complicated if there is not sufficient number of measurements and variogram is sensitive to outliers and extremes. ANN is a powerful tool, but it also suffers from the number of reasons. of a special type ? multiplayer perceptrons ? are often used as a detrending tool in hybrid (ANN+geostatistics) models (Kanevski and Maignank, 2004). Therefore, development and adaptation of the method that would be nonlinear and robust to noise in measurements, would deal with the small empirical datasets and which has solid mathematical background is of great importance. The present paper deals with such model, based on Statistical Learning Theory (SLT) - Support Vector Regression. SLT is a general mathematical framework devoted to the problem of estimation of the dependencies from empirical data (Hastie et al, 2004; Vapnik, 1998). SLT models for classification - Support Vector Machines - have shown good results on different machine learning tasks. The results of SVM classification of spatial data are also promising (Kanevski et al, 2002). The properties of SVM for regression - Support Vector Regression (SVR) are less studied. First results of the application of SVR for spatial mapping of physical quantities were obtained by the authorsin for mapping of medium porosity (Kanevski et al, 1999), and for mapping of radioactively contaminated territories (Kanevski and Canu, 2000). The present paper is devoted to further understanding of the properties of SVR model for spatial data analysis and mapping. Detailed description of the SVR theory can be found in (Cristianini and Shawe-Taylor, 2000; Smola, 1996) and basic equations for the nonlinear modeling are given in section 2. Section 3 discusses the application of SVR for spatial data mapping on the real case study - soil pollution by Cs137 radionuclide. Section 4 discusses the properties of the modelapplied to noised data or data with outliers.

Soil diffuse degassing and thermal energy fluxes from the southern Lakki plain, Nisyros (Greece)

Two diffuse soil CO2 flux surveys from the southern Lakki plain show that CO2 is mainly released from the hydrothermal explosion craters. The correspondence between high CO2 fluxes and elevated soil temperatures suggests that a flux of hot hydrothermal fluids ascends towards the surface. Steam mostly condenses near the surface and the heat given off is conductively transferred to the atmosphere through the soil, accompanied by a large CO2 flux. Tt was calculated, that 68 t d(-1) of hydrothermal CO2 are released through the total surveyed area of similar to1.3 km(2) Admitting that a steam flux of 2200 t d(-1) accompanies this CO2 flux, the thermal energy released through steam condensation amounts to 58 MW.

Controls on 13C and 14C variability in soil CO2

14C dating of groundwater depends on the isotopic composition of both the solid carbonate and the soil CO2 and requires the use of 14C age correction models. To better assess the variability of the 14C activity of soil CO2 (A14Csoil-CO2) and the δ13C of soil CO2 (δ13Csoil-CO2), which are two parameters used in 14C age correction models, we studied the different processes involving carbon isotopes in the soil. The approach used experimental data from two sites in France (Fontainebleau sands and Astian sands) and a steady-state transport model. In most cases, the 14C activity (A14C) of atmospheric CO2 is directly used in the 14C age correction models as the A14Csoil-CO2. However, we demonstrate that since 1950, the evolution of the A14Csoil-CO2 reflects the competition between the fluxes of root-derived CO2 and organic matter-derived CO2. Therefore, the A14Csoil-CO2 must be used to date groundwater that is younger than 60 years old. Moreover, the δ13C of soil CO2 (δ13Csoil-CO2) showed large seasonal variations that must be taken into account in selecting the δ13Csoil-CO2 for 14C age correction models.

Role of trabectedin in the treatment of soft tissue sarcoma.

Interest in marine natural products has allowed the discovery of new drugs and trabectedin (ET-743, Yondelis), derived from the marine tunicate Ecteinascidia turbinata, was approved for clinical use in 2007. It binds to the DNA minor groove leading to interferences with the intracellular transcription pathways and DNA-repair proteins. In vitro antitumor activity was demonstrated against various cancer cell lines and soft tissue sarcoma cell lines. In phase I studies tumor responses were observed also in osteosarcomas and different soft tissue sarcoma subtypes. The most common toxicities were myelosuppression and transient elevation of liver function tests, which could be reduced by dexamethasone premedication. The efficacy of trabectedin was established in three phase II studies where it was administered at 1.5 mg/m2 as a 24 h intravenous infusion repeated every three weeks, in previously treated patients. The objective response rate was 3.7%-8.3% and the tumor control rate (which included complete response, partial response and stable disease) was obtained in half of patients for a median overall survival reaching 12 months. In nonpretreated patients the overall response rate was 17%. Twenty-four percent of patients were without progression at six months. The median overall survival was almost 16 months with 72% surviving at one year. Predictive factors of response are being explored to identify patients who are most likely to respond to trabectedin. Combination with other agents are currently studied with promising results. In summary trabectedin is an active new chemotherapeutic agents that has demonstrated its role in the armamentarium of treatments for patients with sarcomas.

Soft tissue artifact assessment during treadmill walking in subjects with total knee arthroplasty.

Accurate measurement of knee kinematics during functional activities suffers mainly from soft tissue artifact (STA): the combination of local surface deformations and rigid movement of markers relative to the underlying bone (also called rigid STA movement: RSTAM). This study proposes to assess RSTAM on the thigh, shank, and knee joint and to observe possible features between subjects. Nineteen subjects with knee arthroplasty were asked to walk on a treadmill while a biplane fluoroscopic system (X-rays) and a stereophotogrammetric system (skin markers) recorded their knee movement. The RSTAM was defined as the rigid movement of the cluster of skin markers relative to the prosthesis. The results showed that RSTAM amplitude represents approximately 80-100% of the STA. The vertical axis of the anatomical frame of the femur was influenced the most by RSTAM. Combined with tibial error, internal/external rotation angle and distraction-compression were the knee kinematics parameters most affected by RSTAM during the gait cycle, with average rms values of 3.8° and 11.1 mm. This study highlighted higher RSTAM during the swing phase particularly in the thigh segment and suggests new features for RSTAM such as the particular shape of some RSTAM waveforms and the absence of RSTAM in certain kinematics during the gait phases. The comparison of coefficient of multiple correlations showed some similarities of RSTAM between subjects, while some correlations were found with gait speed and BMI. These new insights could potentially allow the development of new methods of compensation to avoid STA.

Direct mapping of 19F in 19FDG-6P in brain tissue at subcellular resolution using soft X-ray fluorescence

Low energy x-ray fluorescence (LEXRF) detection was optimized for imaging cerebral glucose metabolism by mapping the fluorine LEXRF signal of 19 F in 19 FDG, trapped as intracellular 19 F-deoxyglucose-6-phosphate ( 19 FDG-6P) at 1μm spatial resolution from 3μm thick brain slices. 19 FDG metabolism was evaluated in brain structures closely resembling the general cerebral cytoarchitecture following formalin fixation of brain slices and their inclusion in an epon matrix. 2-dimensional distribution maps of 19 FDG-6P were placed in a cytoarchitectural and morphological context by simultaneous LEXRF mapping of N and O, and scanning transmission x-ray (STXM) imaging. A disproportionately high uptake and metabolism of glucose was found in neuropil relative to intracellular domains of the cell body of hypothalamic neurons, showing directly that neurons, like glial cells, also metabolize glucose. As 19 F-deoxyglucose-6P is structurally identical to 18 F-deoxyglucose-6P, LEXRF of subcellular 19 F provides a link to in vivo 18 FDG PET, forming a novel basis for understanding the physiological mechanisms underlying the 18 FDG PET image, and the contribution of neurons and glia to the PET signal.

Network governance and the domestic adoption of soft rules

European regulatory networks (ERNs) are in charge of producing and disseminating non-bindings standards, guidelines and recommendations in a number of important domains, such as banking and finance, electricity and gas, telecommunications, and competition regulation. The goal of these soft rules is to promote 'best practices', achieve co-ordination among regulatory authorities and ensure the consistent application of harmonized pro-competition rules across Europe. This contribution examines the domestic adoption of the soft rules developed within the four main ERNs. Different factors are expected to influence the process of domestic adoption: the resources of regulators; the existence of a review panel; and the interdependence of the issues at stake. The empirical analysis supports hypotheses about the relevance of network-level factors: monitoring and public reporting procedures increase the final level of adoption, while soft rules concerning highly interdependent policy areas are adopted earlier.

Epithelioid soft tissue tumors.

Epithelioid neoplasms are generally carcinomas. As confirmation that every rule is meant to be broken, some sarcomas demonstrate epithelioid morphology, and can even express cytokeratins. These sarcomas have unique behavior, for example, a much higher rate of lymph node metastasis than other sarcomas. This group of sarcomas also presents diagnostic and therapeutic challenges to those clinicians who help patients contend with these difficult tumors. In this review, some of the major categories of epithelioid soft tissue tumors are described, with clinical data reported as available. Some of these tumors provide excellent opportunities to examine newer protein-targeted agents in investigational settings.

BoBo mixing meseasurement at Belle using dilepton events tagged with a soft pion

L'expérience Belle, située dans le centre de recherche du KEK, au Japon, est consacrée principalement à l'étude de la violation de CP dans le système des mésons B. Elle est placée sur le collisionneur KEKB, qui produit des paires Banti-B. KEKB, l'une des deux « usines à B » actuellement en fonction, détient le record du nombre d'événements produits avec plus de 150 millions de paires. Cet échantillon permet des mesures d'une grande précision dans le domaine de la physique du méson B. C'est dans le cadre de ces mesures de précision que s'inscrit cette analyse. L'un des phénomènes remarquables de la physique des hautes énergies est la faculté qu'a l'interaction faible de coupler un méson neutre avec son anti-méson. Dans le présent travail, nous nous intéressons au méson B neutre couplé à l'anti-méson B neutre, avec une fréquence d'oscillation _md mesurable précisément. Outre la beauté de ce phénomène lui-même, une telle mesure trouve sa place dans la quête de l'origine de la violation de CP. Cette dernière n'est incluse que d'une façon peu satisfaisante dans le modèle standard des interactions électro-faibles. C'est donc la recherche de phénomènes physiques encore inexpliqués qui motive en premier lieu la collaboration Belle. Il existe déjà de nombreuses mesures de _md antérieures. Celle que nous présentons ici est cependant d'une précision encore jamais atteinte grâce, d'une part, à l'excellente performance de KEKB et, d'autre part, à une approche originale qui permet de réduire considérablement la contamination de la mesure par des événements indésirés. Cette approche fut déjà mise à profit par d'autres expériences, dans des conditions quelque peu différentes de celles de Belle. La méthode utilisée consiste à reconstruire partiellement l'un des mésons dans le canal ___D*(D0_)l_l, en n'utilisant que les informations relatives au lepton l et au pion _. L'information concernant l'autre méson de la paire Banti-B initiale n'est tirée que d'un seul lepton de haute énergie. Ainsi, l'échantillon à disposition ne souffre pas de grandes réductions dues à une reconstruction complète, tandis que la contamination due aux mésons B chargés, produits par KEKB en quantité égale aux B0, est fortement diminuée en comparaison d'une analyse inclusive. Nous obtenons finalement le résultat suivant : _md = 0.513±0.006±0.008 ps^-1, la première erreur étant l'erreur statistique et la deuxième, l'erreur systématique.<br/><br/>The Belle experiment is located in the KEK research centre (Japan) and is primarily devoted to the study of CP violation in the B meson sector. Belle is placed on the KEKB collider, one of the two currently running "B-meson factories", which produce Banti-B pairs. KEKB has created more than 150 million pairs in total, a world record for this kind of colliders. This large sample allows very precise measurements in the physics of beauty mesons. The present analysis falls within the framework of these precise measurements. One of the most remarkable phenomena in high-energy physics is the ability of weak interactions to couple a neutral meson to its anti-meson. In this work, we study the coupling of neutral B with neutral anti-B meson, which induces an oscillation of frequency _md we can measure accurately. Besides the interest of this phenomenon itself, this measurement plays an important role in the quest for the origin of CP violation. The standard model of electro-weak interactions does not include CP violation in a fully satisfactory way. The search for yet unexplained physical phenomena is, therefore, the main motivation of the Belle collaboration. Many measurements of _md have previously been performed. The present work, however, leads to a precision on _md that was never reached before. This is the result of the excellent performance of KEKB, and of an original approach that allows to considerably reduce background contamination of pertinent events. This approach was already successfully used by other collaborations, in slightly different conditions as here. The method we employed consists in the partial reconstruction of one of the B mesons through the decay channel ___D*(D0_)l_l, where only the information on the lepton l and the pion _ are used. The information on the other B meson of the initial Banti-B pair is extracted from a single high-energy lepton. The available sample of Banti-B pairs thus does not suffer from large reductions due to complete reconstruction, nor does it suffer of high charged B meson background, as in inclusive analyses. We finally obtain the following result: _md = 0.513±0.006±0.008 ps^-1, where the first error is statistical, and the second, systematical.<br/><br/>De quoi la matière est-elle constituée ? Comment tient-elle ensemble ? Ce sont là les questions auxquelles la recherche en physique des hautes énergies tente de répondre. Cette recherche est conduite à deux niveaux en constante interaction. D?une part, des modèles théoriques sont élaborés pour tenter de comprendre et de décrire les observations. Ces dernières, d?autre part, sont réalisées au moyen de collisions à haute énergie de particules élémentaires. C?est ainsi que l?on a pu mettre en évidence l?existence de quatre forces fondamentales et de 24 constituants élémentaires, classés en « quarks » et « leptons ». Il s?agit là de l?une des plus belles réussites du modèle en usage aujourd?hui, appelé « Modèle Standard ». Il est une observation fondamentale que le Modèle Standard peine cependant à expliquer, c?est la disparition quasi complète de l?anti-matière (le « négatif » de la matière). Au niveau fondamental, cela doit correspondre à une asymétrie entre particules (constituants de la matière) et antiparticules (constituants de l?anti-matière). On l?appelle l?asymétrie (ou violation) CP. Bien qu?incluse dans le Modèle Standard, cette asymétrie n?est que partiellement prise en compte, semble-t-il. En outre, son origine est inconnue. D?intenses recherches sont donc aujourd?hui entreprises pour mettre en lumière cette asymétrie. L?expérience Belle, au Japon, en est une des pionnières. Belle étudie en effet les phénomènes physiques liés à une famille de particules appelées les « mésons B », dont on sait qu?elles sont liées de près à l?asymétrie CP. C?est dans le cadre de cette recherche que se place cette thèse. Nous avons étudié une propriété remarquable du méson B neutre : l?oscillation de ce méson avec son anti-méson. Cette particule est de se désintégrer pour donner l?antiparticule associée. Il est clair que cette oscillation est rattachée à l?asymétrie CP. Nous avons ici déterminé avec une précision encore inégalée la fréquence de cette oscillation. La méthode utilisée consiste à caractériser une paire de mésons B à l?aide de leur désintégration comprenant un lepton chacun. Une plus grande précision est obtenue en recherchant également une particule appelée le pion, et qui provient de la désintégration d?un des mésons. Outre l?intérêt de ce phénomène oscillatoire en lui-même, cette mesure permet d?affiner, directement ou indirectement, le Modèle Standard. Elle pourra aussi, à terme, aider à élucider le mystère de l?asymétrie entre matière et anti-matière.

Testing the influence of topography and material properties on catchment-scale soil moisture patterns using remotely sensed vegetation patterns in a humid temperate catchment, northern Britain

In order to evaluate the relationship between the apparent complexity of hillslope soil moisture and the emergent patterns of catchment hydrological behaviour and water quality, we need fine-resolution catchment-wide data on soil moisture characteristics. This study proposes a methodology whereby vegetation patterns obtained from high-resolution orthorectified aerial photographs are used as an indicator of soil moisture characteristics. This enables us to examine a set of hypotheses regarding what drives the spatial patterns of soil moisture at the catchment scale (material properties or topography). We find that the pattern of Juncus effusus vegetation is controlled largely by topography and mediated by the catchment's material properties. Characterizing topography using the topographic index adds value to the soil moisture predictions relative to slope or upslope contributing area (UCA). However, these predictions depart from the observed soil moisture patterns at very steep slopes or low UCAs. Copyright (c) 2012 John Wiley & Sons, Ltd.