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Proteomics Data Collection - 2nd ProDaC Workshop 5 October 2007, Seoul, Korea

Proteomics Data Collection (ProDaC) is an EU-funded Coordination Action within the 6th framework programme. It aims to simplify the publication, dissemination and utilization of proteomics data by establishing standards that will support broad data collection from the research community. As a part of ProDaC, regular workshops are organized on a half-yearly basis to enable communication and discuss

Monte Carlo simulation of a multiparticle imaging Cherenkov counter

A simulation study of a new Cherenkov detector for the NA44 experiment is presented. Different positions and configurations of the counter are evaluated. The best particle identification is achieved with a CaF2 window and with the chamber placed in front of hodoscope 3 (H3).

An investigation of screwiness in hadronic final states from DELPHI

A recent theoretical model by Andersson et al. proposes that soft gluons order themselves in the form of a helix at the end of the QCD cascades. The Authors of the model present a measure of the rapidity-azimuthal angle correlation, which they call screwiness. We searched for such a signal in DELPHI data, and found no evidence for screwiness.

An evaluation of using ensembles of classifiers for predictions based on genomic and proteomic data

Classification of expression profiles to predict disease characteristics of for example cancer is a common application in high-throughput gene and protein expression research. Cross-validation is often used to optimize design of classifiers, with the aim to construct an optimal single classifier. In this work, we explore if classification performance can be improved by aggregating classifiers into

SPECLUST: a web tool for clustering of mass spectra

SPECLUST is a web tool for hierarchical clustering of peptide mass spectra obtained from protease-digested proteins. Mass spectra are clustered according to the peptide masses they contain, such that mass spectra containing similar masses are clustered together. Hierarchical clustering of mass spectra with SPECLUST can in particular be useful for MS-screening of large proteomic data sets derived f

A novel approach to structure alignment

A novel approach for structure alignment is presented, where the key ingredients are: (1) An error function formulation of the problem simultaneously in terms of binary (Potts) assignment variables and real-valued atomic coordinates. (2) Minimization of the error function by an iterative method, where in each iteration a mean field method is employed for the assignment variables and exact rotation

Generation and metrology of ultrashort pulses and their application in attosecond science

This thesis deals with the dynamical processes in atoms and small molecules initiated by the absorption of ultrashort, coherent light pulses. The studied phenomena takeplace on the femtosecond (1 fs = 10−15 s) and attosecond (1 as = 10−18 s) timescales and critically depend on the properties of the light fields that drive them. Wework with infrared (IR) femtosecond laser pulses, which we manipulat

Priority areas in municipality planning : Ecosystem services, environmental impact assessments and research areas

Background Several pressing issues face municipal planners including increased land use and climate change. Managing these issues requires a balance between different actions to accommodate citizen’s demands of ecosystem services (ES) and development projects. The implementation of ES as a new tool for assessments needs to be contrasted by research considering existing tools such as Environmental

Hydrogen-Induced Micro-Strain Evolution in Super Duplex Stainless Steel—Correlative High-Energy X-Ray Diffraction, Electron Backscattered Diffraction, and Digital Image Correlation

The local lattice strain evolution during electrochemical hydrogen charging and mechanical loading in 25Cr-7Ni super duplex stainless steel were measured in-situ using synchrotron high-energy x-ray diffraction. Post-mortem electron backscattered diffraction analysis showed that the austenite phase underwent plastic deformation in the near-surface due to hydrogen-enhanced localized plasticity, wher

Influences of Shifted Vegetation Phenology on Runoff Across a Hydroclimatic Gradient

Climate warming has changed vegetation phenology, and the phenology-associated impacts on terrestrial water fluxes remain largely unquantified. The impacts are linked to plant adjustments and responses to climate change and can be different in different hydroclimatic regions. Based on remote sensing data and observed river runoff of hydrological station from six river basins across a hydroclimatic

Data-Efficient Learning of Semantic Segmentation

Semantic segmentation is a fundamental problem in visual perception with a wide range of applications ranging from robotics to autonomous vehicles, and recent approaches based on deep learning have achieved excellent performance. However, to train such systems there is in general a need for very large datasets of annotated images. In this thesis we investigate and propose methods and setups for wh

Ratios between Radon Concentrations in Upstairs and Basements : A Study in the Northeastern and Midwestern United States

Temporally resolved assessment of residential exposure to radon is essential for investigating radon's acute health effects. Recent studies have used large numbers of short-term radon measurements to model the spatiotemporal variations in radon concentrations. However, most short-term radon measurements in the northeastern and midwestern United States were conducted in the basements, which were le

Selective precipitation of calcium ion from seawater desalination reverse osmosis brine

The near zero liquid discharge (NZLD) approach, by recovering water and dissolved valuable salts, is the most attractive clean solution for the valorisation of brines from seawater desalination reverse osmosis (SWD-RO) plants. In this perspective, a key aspect is calcium removal/recovery, to avoid scaling problems in the successive advanced separation units for recovering other valuable salts. In

An integrated membrane distillation, photocatalysis and polyelectrolyte-enhanced ultrafiltration process for arsenic remediation at point-of-use

Arsenic contamination of drinking water is a result of natural and/or anthropogenic activities, causing undesirable detrimental effects on the environment and the human health. Herein, an integrated process based on Membrane Distillation (MD), photocatalysis and Polymer-enhanced Ultrafiltration (PEUF) was developed for an effective remediation of arsenic (As). This approach, whose effectiveness wa

Photothermal Sweeping Gas Membrane Distillation and Reverse Electrodialysis for light-to-heat-to-power conversion

Water and energy are two intimately interconnected issues of strategic relevance for a sustainable industrial development. Herein, we integrated light-harvesting/self-heating membranes and salinity gradient technology with the aim to implement the innovative concept of light-to-heat-to-power conversion. Novel photothermal membranes, prepared by immobilizing silver nanoparticles (AgNPs) on the top

Membrane technology for a sustainable copper mining industry : The Chilean paradigm

Mining is an economically-beneficial activity recognized as crucial in modern society since almost every aspect of our lives relies on minerals. However, intensive mining activities impose a severe strain on the water-energy nexus. In fact, mining ventures: i) need massive amount of water in various ore processing steps; ii) generate a huge amount of waste (tailings), generally transferred to tail