612 research outputs found
Node-positive breast cancer: Which are the best chemotherapy regimens?
Breast cancer-associated mortality has been significantly reduced since the 1990s, mainly because of early diagnosis and systemic therapeutic interventions. All three therapy components-cytostatic therapy, endocrine therapy and targeted antibody therapy-are at present necessary tools for the curative treatment of primary breast cancer. This article reviews the evidence base for the use of various chemotherapy schedules in patients with primary, node-positive breast cancer, including schedules in combination with targeted HER2/neu therapy
Quarkonia Measurements with the Central Detectors of ALICE
A Large Ion Collider Experiment - ALICE will become operational with the
startup of the Large Hadron Collider - LHC at the end of 2007. One focus of the
physics program is the measurement of quarkonia in proton-proton and lead-lead
collisions. Quarkonia states will be measured in two kinematic regions and
channels: di-muonic decays will be measured in the forward region by the muon
arm, the central part of the detector will measure di-electronic decays. The
presented studies show the expected performance of the di-electron measurement
in proton-proton and central lead-lead collisions.Comment: 6 pages, 7 figures, Proceedings of the QM 2006 poster sessio
Messungen von Quarkonia mit den zentralen Detektoren von ALICE
The production of quarkonia, the bound state of an heavy quark with its anti-particle, has for a long time been seen as a key process to understand the properties of nuclear matter in a relativistic heavy-ion collision. This thesis presents studies on the production of quarkonia in heavy-ion collisions at the new Large Hadron collider (LHC). The focus is set on the decay of J/Psi and Upsilon-states into their di-electronic decay channel, measured within the central detectors of the ALICE detector.Die Erzeugung von Quarkonia, dem gebundenen Zustand eines schweren Quarks mit seinem Anti-Teilchen, wird seit langem als wichtiger Prozess zum Verständnis der Eigenschaften von Materie in Schwerionenkollisionen gesehen. Diese Dissertationschrift fasst Studien zur Erzeugung von Quarkonia in Schwerionenkollisionen am LHC zusammen. Dabei liegt das Hauptaugenmerk auf dem Zerfall von J/Psi- und Upsilon-Zuständen in deren di-elektronischen Zerfallskanäle, nachgewiesen in den zentralen Detektoren des ALICE-Detektors
Nondipping in Parkinson's Disease
Objective. The aim of this study was to identify patients with Parkinson's disease who showed loss or decrease of nocturnal blood pressure fall (nondipper patients) as a marker of autonomic dysfunction. Presence or absence of orthostatic hypotension was considered to investigate whether alterations in circadian blood pressure pattern are associated with posture-related dysregulation of blood pressure. Methods. 40 patients with Parkinson's disease underwent 24-hour blood pressure monitoring. 21 patients were diagnosed with arterial hypertension and received anti-hypertensive drugs. Nondipper patients were defined as having nocturnal decrease of mean systolic and diastolic blood pressure less than 10%. Presence or absence of orthostatic hypotension was determined by Schellong's test. Results. We identified 35 nondipper patients (88%). Nondipping was detected in 20 patients with orthostatic hypotension (95%) and in 15 patients without orthostatic hypotension (79%). 18 patients with hypertensive and 22 patients with normal blood pressure values were detected. Conclusions. In conclusion 24-hour blood pressure monitoring showed a high prevalence of nondipping in 40 patients with Parkinson's disease with and without orthostatic hypotension independent of coexisting arterial hypertension and antihypertensive treatment. 24-hour blood pressure monitoring may be useful to identify non-dipping as a marker of autonomic dysfunction in patients with Parkinson's disease
Use of Remote Sensing for Mapping and Evaluation of Mining Waste Anomalies at National to Multi-Country Scale. A Case Study to Integrate Remote Sensing Information with Thematic Data Layers and National Inventories on Mining Features in Pre-Accession ...
Abstract not availableJRC.H-Institute for environment and sustainability (Ispra
Effects of Planktonic Copepods on Transparent Exopolymeric Particles (TEP) Abundance and Size Spectra
Diatoms exude considerable quantities of polymers, mainly polysaccharides, that play an important role in the process of sestonic particle aggregation in the sea. We investigated the impact of copepods on transparent exopolymeric particles (TEP) generated by the diatom Thalassiosira weissflogii. Grazing experiments with 14C-labelled algae exudates demonstrated that copepods typical of the Baltic Sea were not actively filtering TEP. Control experiments showed that ‘uptake’ of radioactivity could be ascribed to passive uptake, such as adsorption of radioactively-labelled particles to the body surface. Furthermore, we tested the effect of copepods on TEP size spectra. The abundance and size distribution of TEP (from 1.4 to 180 μm of Equivalent Spherical Diameter) were analysed in a 4 h incubation experiment. In the presence of copepods, the proportion of larger TEP was higher. An increase in total volume of TEP in jars containing copepods (~2 × 107 μm ml–1) compared with control jars without copepods (~0.5 × 107 μm3 ml–1) was also observed. The process of aggregation of TEP demonstrated in this work, whereby copepods increase downward particle flux without consuming carbon, can have far-reaching consequences for carbon fluxes along the water column and for copepods feeding dynamics
Characterization of Pan-Mediterranean Riparian Areas by Remote Sensing Derived Phenological Indices
This report aimed at inventorying characteristics of Mediterranean riparian-use zones using statistical analysis of some phenological indices calculated from remote sensing time series. Riparian areas are focused because of their prime importance in offering potential for adapted agricultural landuse and their ecosystem services. The quantity of vegetation cover present in these wider riparian-use zones has been proven to be directly dependent to adjacent landuse and related to the functioning of the zone as wider riparian buffer. Phenological indices derived from low resolution remote sensing time series can be used in complement with other data to assess and monitor dynamics and stresses of the riparian-use zones.JRC.H.7-Land management and natural hazard
Pramipexole Extended Release: A Novel Treatment Option in Parkinson's Disease
Pramipexole, the most commonly prescribed dopamine agonist worldwide, meanwhile serves as a reference substance for evaluation of new drugs. Based on numerous clinical data and vast experiences, efficacy and safety profiles of this non-ergoline dopamine agonist are well characterized. Since October 2009, an extended-release formulation of pramipexole has been available for symptomatic treatment of Parkinson's disease. Pramipexole administration can be cut down from three times to once a day due to the newly developed extended-release formulation. This is considerable progress in regard to minimizing pill burden and enhancing compliance. Moreover, the 24 h continuous drug release of the once-daily extended-release formulation results in fewer fluctuations in plasma concentrations over time compared to immediate-release pramipexole, given three times daily. The present study summarizes pharmacokinetics and all essential pharmacological and clinical characteristics of the extended-release formulation. In addition, it provides all study data, available so far, with regard to transition and de-novo administration of extended-release formulation for patients with Parkinson's disease. It further compares efficacy and safety data of immediate-release pramipexole with the extended-release formulation of pramipexole
Chemometric Modelling and Remote Sensing of Arable Land Soil Organic Carbon as Mediterranean Land Degradation Indicator - A Case Study in Southern Italy
The application of chemometric models for the quantitative estimation of soil organic matter (SOM) from laboratory reflectance data from samples taken on the regional/national level from Italian sites is explored in Part 1 of this report. In addition, the possibility to transfer the developed models from the spectral resolution of lab/field instrumentation to the one of operational satellite systems has been evaluated, by using the laboratory spectra to simulate the respective soil reflectance signatures of Landsat-TM, MODIS and MERIS.
Soil physical and chemical laboratory analyses results were provided by the JRC-IES SOIL action (formerly JRC FP6 MOSES action). The 376 soil samples, used in this study, were collected for previous projects of the IES SOIL action and its partners within a wide range of environmental settings in Italy. Reflectance measurements were obtained on disturbed soil samples using an ASD Field Spec Pro spectro-radiometer. Data transformation methods (standardisation, vector-normalisation and first and second order derivatives) have been applied on the spectral data. The transformed spectral data have been used for the prediction of SOM and carbonate content using the partial least squares regression (PLSR). The results (R2 between 0.57 and 0.8) demonstrate the successful application of reflectance spectroscopy combined with chemometric modelling for the estimation of SOM and carbonate content. The calibration models demonstrated a tolerable stability over a variety of different soil types, which is a positive factor for opening the opportunity to use this methodology for monitoring larger areas. Furthermore it could be shown, that the spectral resolution of the MERIS sensor is sufficient for approximation of the SOC/SOM content from pure soil spectra.
Consequently the second part of the study focused on the use of MERIS satellite data for the estimation of soil organic carbon content of bare soils at regional scale. The study concentrated on the Apulia region, where we had high density of available field sampling sites, and on parts of the coastal areas of the Abruzzi region South of Pescara, which are known to be amongst the more critical areas in Italy suffering from land degradation problems and desertification risk.
For specific morphological-lithological units simple spectral models, based on soil colour and spectral shape attributes, were built to derive soil organic carbon content.
In order to apply these models to MERIS satellite data, a time series of images covering the years 2003 and 2004 were acquired for Southern Italy. Pre-processing of image data aimed at extracting those pixels with negligible vegetation abundance at least at one date of observation per year, i.e. practically showing pure bare soil signatures only, and consisted of:
¿ geometrical co-registration and superposition of images from different acquisition dates
¿ the derivation of minimum vegetation composites for each year applying simple minimum value criteria for MERIS vegetation indices
¿ the determination of soil and vegetation abundance at sub-pixel level based on spectral mixture modelling.
¿ the removal of residual vegetation influence from image spectra
Soil colour attributes (soil lightness, R coordinate of R-G-B model) and coefficients of a second order polynomial fitted through the pixel reflectance signatures were derived from the minimum vegetation composites of both years. The spatial distribution of soil organic carbon was estimated for each year within specific morphological-lithological units in the Apulia region. In addition models could be applied to other regions in Southern Italy. Estimation results showed good agreement with independent field data and the pedo-transfer rules based estimations of Jones et. al. (2004, 2005).JRC.H.7-Land management and natural hazard
Mediterranean-wide Green Vegetation Abundance for Land Degradation Assessment Derived from AVHRR NDVI and Surface Temperature 1989 to 2005
NOAA AVHRR data stemming from the MEDOKADS archive and ranging from 1989 to 2005 was processed and decomposed into their fractions of the vegetated, non-vegetated and the so called ¿cold¿ endmember. Decomposition occurred via Linear Unmixing within a triangle spanned up by NDVI (y-axis) and surface temperature (x-axis), separately for each of the 612 10-day composites. Endmembers were derived statistically using percentiles and the inverse relationship between NDVI and Ts. The cold endmember was fixed at -20 degrees Celsius, the vegetated endmember at NDVI = 0.7, the latter was then empirically corrected for illumination effects. Linear Unmixing occurred for the whole Mediterranean area, separately for a western and eastern window. Outcomes are the vegetation abundance, soil abundance and ¿cold¿ abundance, indicating the individual coverage of a pixel by each of these. The vegetation abundance was re-scaled to the so-called Grenn Vegetation Fraction (GVF), re-distributing the ¿cold¿ abundance on vegetation and soil abundance proportionally. Unmixing led to a higher stability of GVF data in comparison to NDVI data with regard to atmospheric effects. The data was post-processed for missing values and outliers and it was filtered. The GVF shows close parallelism on several test sites in comparison to a re-scaled NDVI within the endmember limits. The positive effect of the cold abundance, which is amongst other accounting for negative effects from poor atmospheric conditions and which was used to improve the GVF, could be clearly shown. Comparison with high and low resolution SPOT data shows a linear relationship and higher values for GVF. Squared GVF values were found to be closely correlated with independently derived high and low resolution vegetation cover (fCover), confirming this relationship known from literature. Coefficients of determination (R2), slope and offset of linear relations between squared GVF on one side and the two validation data sets on the other side were 0.69, 0.91, 0.07 and 0.58, 1.27, 0.06, respectively. In addition to the ¿per se¿ value of the derived abundances, validation results indicate that squared GVF may be used as approximation for vegetation cover.JRC.H.7-Land management and natural hazard
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