3,072 research outputs found
Preference programming and inconsistent interval matrices
The problem of derivation of the weights of altematives from pairwise comparison matrices is long standing. In this paper,Lexicographic Goal Programming (LGP) has been used to find out weights from pairwise inconsistent interval judgment matrices. A number of properties and advantages of LGP as a weight determination technique have been explored. An algorithm for identification and modification of inconsistent bounds is also provided. The proposed technique has been illustrated by means of numerical examples.Analytic hierarchy process; Interval judgment; Preferente programming
Application of the IS-MP-IA model to the German economy and policy implications
Extending the IS-MP-IA model developed by Romer (2000) and applying the GARCH (Engle, 1982, 2001) methodology, the author finds that equilibrium GDP in Germany is positively affected by stock market performance and real exchange rate appreciation, and negatively influenced by the expected inflation rate, the government deficit/GDP ratio, and the U.S. federal funds rate. The relatively low deficit/GDP ratio of 1.83% in 2003 indicates that its fiscal condition was healthy. However, some other EU members may need to exercise fiscal discipline. Because real appreciation has a positive impact on output, a stronger euro may not be a concern for Germany but may be worried by those EU member nations which depend upon exports to stimulate their economies.
Winning redefined, a new brand positioning for MP Motorsport
MP Motorsport is a talent educating race team participating in the classes below the Formula 1. The problem with the lower classes and therefore MP Motorsport as well is that these classes don’t get much attention and exposure. As a company run by people with passion the branding and positioning is more something that naturally emerged from this passion rather than a series of conscious decisions. This makes it fragile. A more conscious strategy and vision on how MP Motorsport needs to be branded and positioned against their competition that is more than “look how cool racing is” is needed to become more attractive for sponsoring. This report describes the process from analysis to finding the right positioning and an advise for a new brand identity and an implementation plan to help becoming more attractive for sponsoring goals. The analysis done with employees showed a unique characteristic that will help the team to position themselves against the competition; the family atmosphere. This atmosphere is what also characterises their contradictory personality. This personality is on one hand leading and ambitious and on the other hand modest and involved. Competition and stakeholder analysis have been performed to find the right combination of being unique to the competition, desirable for the stakeholders (the fans and sponsors) and builds upon the core strengths of the company. Then using the brand key model, a positioning is made with the essence: Be your best self. The belief, “in everyone hides a talent” and values like “everyone is equal” and “together we succeed” combined with the essence and the positioning resulted in a brand story that describes the feeling MP Motorsport wants to communicate. To manifestate the brand, an advise has been set up for a tone of voice and tone of image. Wrapped in a concept called “winning redefined” this advise is part of the whole implementation plan that should lead the way for the team to implement the newly created brand in short and long term actions. In 3 phases MP Motorsport is advised to start with a clear brand introduction to the target groups Gen Z and potential sponsors. The next phase revolves around creating a community to attract both Gen Z talents and subsequently sponsors to interact with the team and each other. Finally the last phase is long term focused and aims for sustainable growth. In this phase the community is established and can expect various opportunities to discover and develop a whole range of talents, sponsors and gen z are connected to each other via MP Motorsport and the team is able to finance the lower classes without the pressure of the money drivers bring along.Strategic Product Desig
Derivations (MP) and Evaluations (OT)
The main claim of this paper is that the minimalist framework and optimality theory adopt more or less the same architecture of grammar: both assume that a generator defines a set S of potentially well-formed expressions that can be generated on the basis of a given input, and that there is an evaluator that selects the expressions from S that are actually grammatical in a given language L. The paper therefore proposes a model of grammar in which the strengths of the two frameworks are combined: more specifically, it is argued that the computational system of human language CHL from MP creates a set S of potentially well-formed expressions, and that these are subsequently evaluated in an optimality theoretic fashion.The definitive version of this paper is published in Linguistics in Potsdam 25 (2006).Broekhuis, H. (2006). Derivations (MP) and Evaluations (OT)*. In H. Broekhuis & R. Vogel (Eds), Linguistics in Potsdam 25. Optimality Theory and Minimalism: A possible Convergence? Potsdam : Universitätsverlag PotsdamISBN: 9783939469544 (published book)This research is supported by the Netherlands Organisation of Scientific Research (NWO), grant 276-70-00
Linking inter-individual differences in neural activation and behavior to intrinsic brain dynamics
The brain's energy economy excessively favors intrinsic, spontaneous neural activity over extrinsic, evoked activity, presumably to maintain its internal organization. Emerging hypotheses capable of explaining such an investment posit that the brain's intrinsic functional architecture encodes a blueprint for its repertoire of responses to the external world. Yet, there is little evidence directly linking intrinsic and extrinsic activity in the brain. Here we relate differences among individuals in the magnitude of task-evoked activity during performance of an Eriksen flanker task, to spontaneous oscillatory phenomena observed during rest. Specifically, we focused on the amplitude of low-frequency oscillations (LFO, 0.01-0.1Hz) present in the BOLD signal. LFO amplitude measures obtained during rest successfully predicted the magnitude of task-evoked activity in a variety of regions that were all activated during performance of the flanker task. In these regions, higher LFO amplitude at rest predicted higher task-evoked activity. LFO amplitude measures obtained during rest were also found to have robust predictive value for behavior. In midline cingulate regions, LFO amplitudes predicted not only the speed and consistency of performance but also the magnitude of the behavioral congruency effect embedded in the flanker task. These results support the emerging hypothesis that the brain's repertoire of responses to the external world are represented and updated in the brain's intrinsic functional architecture
Stroom- en sedimentmeting Roompot-Veerse Dam (mp.8), 15 en 22 januari 1996
Stroom- en sedimentmeting Roompot-Veerse Dam (mp.8) 15 en 22 januari 1996.Deltawerken, Oosterscheld
A novel approach to MP-PIC: Continuum particle model for dense particle flows in fluidized beds
A novel approach to Multiphase-Particle-in-Cell (MP-PIC), called Continuum Particle Model (CPM), is developed for dense gas-particle flows. CPM has high computational speed, comparable to that of MP-PIC, but a robustness and accuracy closer to that of a Discrete Element Model (DEM). The gas phase is treated as a continuum phase and particles are tracked discretely, but particle collisions are modelled by considering the divergence of the continuum particle stress tensor. Details on efficient solution to the model are presented. For comparison, a parametric study is performed for quasi-2D fluidized beds. Comparison of CFD-CPM is made with MP-PIC and CFD-DEM. The particle stress models by Harris and Crighton, and by Srivastava and Sundaresan are tested in our CFD-CPM. Results from CFD-CPM based on the Srivastava and Sundaresan particle stress model show good agreement with CFD-DEM results. We validate our model by comparison with experimental benchmark results from Gopalan et. al. (2016).Complex Fluid Processin
Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity
The resting brain exhibits coherent patterns of spontaneous low-frequency BOLD fluctuations. These so-called resting-state functional connectivity (RSFC) networks are posited to reflect intrinsic representations of functional systems commonly implicated in cognitive function. Yet, the direct relationship between RSFC and the BOLD response induced by task performance remains unclear. Here we examine the relationship between a region’s pattern of RSFC across participants, and that same region’s level of BOLD activation during an Eriksen Flanker task. To achieve this goal we employed a voxel-matched regression method, which assessed whether the magnitude of task-induced activity at each brain voxel could be predicted by measures of RSFC strength for the same voxel, across 26 healthy adults. We examined relationships between task-induced activation and RSFC strength for 6 different seed regions (Fox et al., 2005), as well as the “default mode ” and “task-positive ” resting-state networks in their entirety. Our results indicate that, for a number of brain regions, inter-individual differences in task-induced BOLD activity were predicted by one of two resting-state properties: 1) the region’s positive connectivity strength with the task-positive network, or 2) its negative connectivity with the default mode network. Strikingly, most of the region
Genomewide linkage scan of schizophrenia in a large multicenter pedigree sample using single nucleotide polymorphisms
A genomewide linkage scan was carried out in eight clinical samples of informative schizophrenia families. After all quality control checks, the analysis of 707 European-ancestry families included 1615 affected and 1602 unaffected genotyped individuals, and the analysis of all 807 families included 1900 affected and 1839 unaffected individuals. Multipoint linkage analysis with correction for marker-marker linkage disequilibrium was carried out with 5861 single nucleotide polymorphisms (SNPs; Illumina version 4.0 linkage map). Suggestive evidence for linkage ( European families) was observed on chromosomes 8p21, 8q24.1, 9q34 and 12q24.1 in nonparametric and/or parametric analyses. In a logistic regression allele-sharing analysis of linkage allowing for intersite heterogeneity, genomewide significant evidence for linkage was observed on chromosome 10p12. Significant heterogeneity was also observed on chromosome 22q11.1. Evidence for linkage across family sets and analyses was most consistent on chromosome 8p21, with a one-LOD support interval that does not include the candidate gene NRG1, suggesting that one or more other susceptibility loci might exist in the region. In this era of genomewide association and deep resequencing studies, consensus linkage regions deserve continued attention, given that linkage signals can be produced by many types of genomic variation, including any combination of multiple common or rare SNPs or copy number variants in a region. Molecular Psychiatry (2009) 14, 786-795; doi:10.1038/mp.2009.11; published online 17 February 2009</p
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