1,126 research outputs found
Azobenzenes and dithiocarbamates in molecular film devices
No full textThe “top-down” approach to improve the performance of small electronic devices is becoming more and more challenging due to economic and engineering restrictions. Thus, researchers seek for alternatives towards efficient, smaller and faster devices. The “bottom-up” method, in which molecules or molecular films implement electronic functionalities, is an outstanding challenge for scientists. The functionalization of metals with molecular films changes the metals’ characteristics and thus the tuning of device properties is possible. The fundamental research of exploring functionalized surfaces is the driving force of this PhD-work. In particular, the focus will be set on the electronic communication between two interfaces which have to be considered when gearing towards applications such as organic light-emitting diodes and organic field?effect transistors. The investigations on appropriate metal-molecule and molecule-semiconductor interfaces are crucial to improve the charge transport of a molecular thin film device. The exploration of the metal’s work function is of particular interest and is the main aspect addressed in this work. However, the modulation of the molecular backbone to tune the crystallinity of the self?assembled monolayer and thus the electronic properties of the metal is also investigated within this project.
The design, synthesis and characterization of molecular structures bearing azobenzenes and dithiocarbamates, which are appealing functional units, is presented in this work. Subsequently, the self-assembled monolayers of these structures are prepared and the interdependence of the self-assembled monolayers and the substrate electrodes is investigated. These studies are performed in a close collaboration with the research groups of Prof. P. Samorì, Prof. Dr. B. Doudin, Prof. C. Wöll and Prof. M. A. Rampi and with Dr. F. von Wrochem and Dr. W. Ford from the Material Science Laboratory of SONY Deutschland GmbH. Within this research activity the main aim is to obtain a deeper understanding of the correlation between the structural architecture of molecular films and the overall device’s electronic performance
sj-pdf-2-evb-10.1177_11769343211062608 – Supplemental material for The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction
No full textSupplemental material, sj-pdf-2-evb-10.1177_11769343211062608 for The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction by Irene van den Bent, Stavros Makrodimitris and Marcel Reinders in Evolutionary Bioinformatics</p
sj-pdf-1-evb-10.1177_11769343211062608 – Supplemental material for The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction
No full textSupplemental material, sj-pdf-1-evb-10.1177_11769343211062608 for The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction by Irene van den Bent, Stavros Makrodimitris and Marcel Reinders in Evolutionary Bioinformatics</p
Towards Modular Compilation Using Higher-Order Effects
No full textCompilers transform a human readable source language into machine readable target language. Nanopass compilers simplify this approach by breaking up this transformation into small steps that are more understandable, maintainable, and extensible. We propose a semantics-driven variant of the nanopass compiler architecture exploring the use a effects and handlers to model the intermediate languages and the transformation passes, respectively. Our approach is fully typed and ensures that all cases in the compiler are covered. Additionally, by using an effect system we abstract over the control flow of the intermediate language making the compiler even more flexible. We apply this approach to a minimal compiler from a language with arithmetic and let-bound variables to a string of pretty printed X86 instructions. In the future, we hope to extend this work to compile a larger and more complicated language and we envision a formal verification framework from compilers written in this style
Erratum: An algorithm-based topographical biomaterials library to instruct cell fate (Proceedings of the National Academy of Sciences of the United States of America (2011) 108, 40 (16565-16570) DOI: 10.1073/pnas.1109861108)
No full textAPPLIED BIOLOGICAL SCIENCES Correction for “An algorithm-based topographical biomaterials library to instruct cell fate,” by Hemant V. Unadkat, Marc Hulsman, Kamiel Cornelissen, Bernke J. Papenburg, Roman K. Truckenmüller, Gerhard F. Post, Marc Uetz, Marcel J. T. Reinders, Dimitrios Stamatialis, Clemens A. van Blitterswijk, and Jan de Boer, which appeared in issue 40, October 4, 2011, of Proc Natl Acad Sci USA (108:16565–16570; first published September 26, 2011; 10.1073/pnas.1109861108). The authors note that Anne E. Carpenter and Matthias Wessling should be added to the author list between Roman K. Truckenmüller and Gerhard F. Post. Anne E. Carpenter should be credited with analyzing data. Matthias Wessling should be credited with designing research. The corrected author and affiliation lines, and author contributions appear below. The online version has been corrected
Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space
No full textBreast cancer is one of the most prevalent cancers affecting females in the world. In recent years, many cancer researchers have been trying to determine molecular prognosis tools that predict cancer patient treatment response and/or chance of survival. In particular, the determination of gene expression signatures obtained by feature selection methods applied to large microarray datasets has shown potential. The main purpose of this study is to extend these gene signatures and molecular prognostic classifiers by investigating features constructed from a scale-space representation of the microarray data. Here, we construct a scale space by first mapping all genes to a one-dimensional functional space using protein family information. Next, we applied successive smoothing to the expression values resulting in one scale-space representation of the gene expression data from one sample. At the lowest scale, the scale space contains the original gene expression values, whereas at higher scales meta-features are formed, which are weighted sums of groups of genes. To test whether a scale-space representation is useful we performed feature selection and classification on a publicly available breast cancer expression dataset. We found that, instead of signatures consisting of single genes, meta-genes (i.e. groups of genes) that exist at higher scales were preferentially selected. We furthermore determined cross-validation errors using seven distinct classifiers (NMC, LDC, QDC, FISHERC, PARZENC, 3NNC, and LOGLC) and found that better performance is obtained using the scale-space representation than with the traditional representation of the gene expression data. As a result, we conclude that the scale-space analysis constitutes a potent way of selecting molecular signatures and is useful for prognostic classification.Pattern Recognition and BioinformaticsIntelligent SystemsElectrical Engineering, Mathematics and Computer Scienc
High performance parallelism pearls : multicore and many-core programming approaches / James Reinders, Jim Jeffers.
No full textElectronic reproduction. Palo Alto, Calif. : ebrary, 2014. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.computer bookfair2016Includes indexes.Previously issued in print: 2014.xlv, 502 pages
The Readymade Approach: An Adaptation of Disruptive Artworks to Overseen Structures
No full textFacing a decline in industrial production and potential vacancy in the north of Maastricht, the ‘Readymades’ by French artist Marcel Duchamp were investigated as an approach to reuse of industrial architecture. With the artworks being mundane, ordinary objects that were only slightly modified, their placements in unusual contexts like art galleries manages to create new associations in an exciting contrast to what the objects originally were. At the core of this graduation project stands the question of how this approach to art can be transferred to an architectural scale, giving the opportunity to revive leftover structures without disguising their history.Architecture, Urbanism and Building Science
Inferring features from 5'UTR sequences to Translation Initiation Rates in S.cerevisiae
No full textIn this research, we studied the impact of the 5'UTR sequences on translation. This is done by generating various features describing the 5'UTR. Those features are then used as input in regression and classification models, that have the Translation Initiation Rates as target. The reason why it is of such importance, is dual. Because is very useful to be able to predict the initiation rates for new sequences and consequently be able to synthesize new sequences with high initiation rate. Additionally, it is important to understand which of the elements, located in the 5'UTR influence the translation initiation rates and thus the translation. Aim of this research is detecting those features from the 5'UTR of yeast's mRNA, that lead to higher translation initiation rates. In order to achieve this, data mining and machine learning techniques were used to build predictive models. To sum up, we have shown that predicting the exact initiation rates originating from stochastic models is not a trivial task and that many features are of no to little importance.Classification between low and high initiation rates seems to be more doable but there is still space for improvement and future research
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