1,458 research outputs found
Dagstuhl News January - December 2011
"Dagstuhl News" is a publication edited especially for the members of the Foundation "Informatikzentrum Schloss Dagstuhl" to thank them for their support. The News give a summary of the scientific work being done in Dagstuhl. Each Dagstuhl Seminar is presented by a small abstract describing the contents and scientific highlights of the seminar as well as the perspectives or challenges of the research topic
Dagstuhl News January - December 2006
"Dagstuhl News" is a publication edited especially for the members of the Foundation "Informatikzentrum Schloss Dagstuhl" to thank them for their support. The News give a summary of the scientific work being done in Dagstuhl. Each Dagstuhl Seminar is presented by a small abstract describing the contents and scientific highlights of the seminar as well as the perspectives or challenges of the research topic
More is Different: Modern Computational Modeling for Heterogeneous Catalysis
La combinació d'observacions experimentals i estudis de la Density Functional Theory (DFT) és un dels pilars de la
investigació química moderna. Atès que permeten recopilar informació física addicional d'un sistema químic,
difícilment accessible a través de l'entorn experimental, aquests estudis es fan servir àmpliament per modelar i predir
el comportament d'una gran varietat de compostos químics en entorns únics. A la catàlisi heterogènia, els models
DFT s'utilitzen habitualment per avaluar la interacció entre els compostos moleculars i els catalitzadors, vinculant
aquestes interpretacions amb els resultats experimentals. Tanmateix, l'alta complexitat trobada tant als escenaris
catalítics com a la reactivitat, implica la necessitat de metodologies sofisticades que requereixen automatització,
emmagatzematge i anàlisi per estudiar correctament aquests sistemes. Aquest treball presenta el desenvolupament i
la combinació de múltiples metodologies per avaluar correctament la complexitat d'aquests sistemes químics. A més,
aquest treball mostra com s'han utilitzat les tècniques proporcionades per estudiar noves configuracions catalítiques
d'interès acadèmic i industrial.La combinación de observaciones experimentales y estudios de la Density Functional Theory (DFT) es uno de los
pilares de la investigación química moderna. Dado que permiten recopilar información física adicional de un sistema
químico, difícilmente accesible a través del entorno experimental, estos estudios se emplean ampliamente para
modelar y predecir el comportamiento de una gran variedad de compuestos químicos en entornos únicos. En la
catálisis heterogénea, los modelos DFT se emplean habitualmente para evaluar la interacción entre los compuestos
moleculares y los catalizadores, vinculando estas interpretaciones con los resultados experimentales. Sin embargo, la
alta complejidad encontrada tanto en los escenarios catalíticos como en la reactividad, implica la necesidad de
metodologías sofisticadas que requieren de automatización, almacenamiento y análisis para estudiar correctamente
estos sistemas. Este trabajo presenta el desarrollo y la combinación de múltiples metodologías con el objetivo de
evaluar correctamente la complejidad de estos sistemas químicos. Además, este trabajo muestra cómo las técnicas
proporcionadas se han utilizado para estudiar nuevas configuraciones catalíticas de interés académico e industrial.The combination of Experimental observations and Density Functional Theory studies is one of the pillars of modern
chemical research. As they enable the collection of additional physical information of a chemical system, hardly
accessible via the experimental setting, Density Functional Theory studies are widely employed to model and predict
the behavior of a diverse variety of chemical compounds under unique environments. Particularly, in heterogeneous
catalysis, Density Functional Theory models are commonly employed to evaluate the interaction between molecular
compounds and catalysts, lately linking these interpretations with experimental results. However, high complexity
found in both, catalytic settings and reactivity, implies the need of sophisticated methodologies involving automation,
storage and analysis to correctly study these systems. Here, I present the development and combination of multiple
methodologies, aiming at correctly asses complexity. Also, this work shows how the provided techniques have been
actively used to study novel catalytic settings of academic and industrial interest
A Taxonomy for and Analysis of Anonymous Communications Networks
Any entity operating in cyberspace is susceptible to debilitating attacks. With cyber attacks intended to gather intelligence and disrupt communications rapidly replacing the threat of conventional and nuclear attacks, a new age of warfare is at hand. In 2003, the United States acknowledged that the speed and anonymity of cyber attacks makes distinguishing among the actions of terrorists, criminals, and nation states difficult. Even President Obama’s Cybersecurity Chief-elect recognizes the challenge of increasingly sophisticated cyber attacks. Now through April 2009, the White House is reviewing federal cyber initiatives to protect US citizen privacy rights. Indeed, the rising quantity and ubiquity of new surveillance technologies in cyberspace enables instant, undetectable, and unsolicited information collection about entities. Hence, anonymity and privacy are becoming increasingly important issues. Anonymization enables entities to protect their data and systems from a diverse set of cyber attacks and preserves privacy. This research provides a systematic analysis of anonymity degradation, preservation and elimination in cyberspace to enhance the security of information assets. This includes discovery/obfuscation of identities and actions of/from potential adversaries. First, novel taxonomies are developed for classifying and comparing well-established anonymous networking protocols. These expand the classical definition of anonymity and capture the peer-to-peer and mobile ad hoc anonymous protocol family relationships. Second, a unique synthesis of state-of-the-art anonymity metrics is provided. This significantly aids an entity’s ability to reliably measure changing anonymity levels; thereby, increasing their ability to defend against cyber attacks. Finally, a novel epistemic-based mathematical model is created to characterize how an adversary reasons with knowledge to degrade anonymity. This offers multiple anonymity property representations and well-defined logical proofs to ensure the accuracy and correctness of current and future anonymous network protocol design
CMOS-Based Peptide Arrays
CMOS - Based Peptide Arrays Peptide arrays are an important tool in proteomics and peptidomics, allowing a large number of peptides to be synthesized on a common support and exposed to a solution of target molecules in parallel. In particle-based synthesis, the amino acids for in situ synthesis of peptides are transported to synthesis loci in solid particles and released upon melting, allowing an increase in density over liquid-based systems. This thesis focuses on the development of application-specific high voltage integrated circuits for electrostatic deposition of charged amino acid particles and their integration into a combinatorial peptide synthesis system. Transfer of amino acid particles from the aerosol to synthesis loci on the chip surface was investigated for a pixel pitch between 45 µm and 100 µm, and compatibility between the chips, particle transfer and the poly(ethylene glycol)methacrylate - based surface modifi¬cations was established. The first combinatorial syntheses on CMOS chips were performed with over 16,000 distinct synthesis sites per chip, at a density of 10,000 spots per cm2, which is a 25-fold increase over the 400 spots per cm2 currently available on laser-printed glass slides. For FLAG and HA peptide epitopes, immonostaining showed regular spots of comparable signal intensity over the whole chip area
2020 NASA Technology Taxonomy
This document is an update (new photos used) of the PDF version of the 2020 NASA Technology Taxonomy that will be available to download on the OCT Public Website. The updated 2020 NASA Technology Taxonomy, or "technology dictionary", uses a technology discipline based approach that realigns like-technologies independent of their application within the NASA mission portfolio. This tool is meant to serve as a common technology discipline-based communication tool across the agency and with its partners in other government agencies, academia, industry, and across the world
LIPIcs, Volume 261, ICALP 2023, Complete Volume
LIPIcs, Volume 261, ICALP 2023, Complete Volum
LIPIcs, Volume 274, ESA 2023, Complete Volume
LIPIcs, Volume 274, ESA 2023, Complete Volum
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