CO induced surface segregation as a means of improving surface composition and enhancing performance of CuPd bimetallic catalysts

Date of Acceptance: 01/06/2015 We thank the University of Aberdeen for financial support and A.I. McNab (University of Aberdeen) for discussions involving the calculation of surface sites.

Hierarchical spatial segregation of two Mediterranean vole species : the role of patch-network structure and matrix composition

Acknowledgments This study was financed by FEDER funds through the Programa Operacional Factores de Competitividade— COMPETE, and National funds through the Portuguese Foundation for Science and Technology—FCT, within the scope of the projects PERSIST (PTDC/BIA-BEC/105110/2008), NETPERSIST (PTDC/ AAG-MAA/3227/2012), and MateFrag (PTDC/BIA-BIC/6582/2014). RP was supported by the FCT grant SFRH/BPD/73478/2010 and SFRH/BPD/109235/2015. PB was supported by EDP Biodiversity Chair. We thank Rita Brito and Marta Duarte for help during field work. We thank Chris Sutherland, Douglas Morris, William Morgan, and Richard Hassall for critical reviews of early versions of the paper. We also thank two anonymous reviewers for helpful comments to improve the paper.

CO induced surface segregation as a means of improving surface composition and enhancing performance of CuPd bimetallic catalysts

Date of Acceptance: 01/06/2015 We thank the University of Aberdeen for financial support and A.I. McNab (University of Aberdeen) for discussions involving the calculation of surface sites.

Measurements of stress-optic coefficient and Young's modulus in PMMA fibers drawn under different conditions

We have systematically measured the differential stress-optic coefficient, ΔC, and Young's modulus, E, in a number of PMMA fibers drawn with different stress, ranging from 2 up to 27 MPa. Effect of temperature annealing on those parameters was also investigated. ΔC was determined in transverse illumination by measuring the dependence of birefringence on additional axial stress applied to the fiber. Our results show that ΔC in PMMA fibers has a negative sign and ranges from -4.5 to -1.5×10-12 Pa -1 depending on the drawing stress. Increase of the drawing stress results in greater initial fiber birefringence and lower ΔC. The dependence of ΔC and initial birefringence upon drawing stress is nonlinear and gradually saturates for higher drawing stress. Moreover, we find that ΔC is linearly proportional to initial fiber birefringence and that annealing the fiber has no impact on the slope of this dependence. On the other hand, no clear dependence was observed between the fiber drawing stress and the Young's modulus of the fibers as measured using microscopic digital image correlation with the fibers tensioned using an Instron tension tester. © 2010 SPIE.

Women into Non-Traditional Sectors: Addressing Gender Segregation in the Northern Ireland Workforce

The horizontal segregation of the workforce along gender lines tends to assign women to lower paid, lower status employment. Consequently, schemes to address segregation have focused on preparing women to enter non‐traditional occupations through training and development processes. This article examines models to encourage women into non‐traditional employment, focusing on the Women into Non‐Traditional Sectors (WINS) project in Belfast, Northern Ireland. However, changing women to suit a hostile work environment assumes women to be the problem, whereas it is the barriers that women face in undertaking non‐traditional jobs that need to be changed. It is concluded, therefore, that while models such as WINS can be successful in assisting women into non‐traditional sectors, change processes to make workplaces more accessible are a more pressing and appropriate approach to de‐segregating the workforce.

Analysis of heat transfer coefficient in silica nanofluids with water as base fluid under transitional flow

The effect of Reynolds number variation in a vertical double pipe counterflow heat exchanger due to the changes in viscosity can cause the change in flow regime, for instance, when heats up and cools down, it can convert from turbulent to laminar or inversely, that can have significant effect on heat transfer coefficient and pressure drop. Mainly, the range of transition phase has been studied in this study with the investigation of silica nanofluid dispersed in water in three different concentrations. The results have been compared with distilled water sample and showed a remarkable raise in heat transfer coefficient while pressure drop has been increased respectively, as well. Although pumping power has to go up at the same time and it is a drawback, heat transfer efficiency grows for diluted samples. On the other hand, for the most concentrated sample, effect of pressure drop dominates which leads to decline in the overall efficiency.

Neuromorphic model for sound source segregation

While humans can easily segregate and track a speaker's voice in a loud noisy environment, most modern speech recognition systems still perform poorly in loud background noise. The computational principles behind auditory source segregation in humans is not yet fully understood. In this dissertation, we develop a computational model for source segregation inspired by auditory processing in the brain. To support the key principles behind the computational model, we conduct a series of electro-encephalography experiments using both simple tone-based stimuli and more natural speech stimulus. Most source segregation algorithms utilize some form of prior information about the target speaker or use more than one simultaneous recording of the noisy speech mixtures. Other methods develop models on the noise characteristics. Source segregation of simultaneous speech mixtures with a single microphone recording and no knowledge of the target speaker is still a challenge. Using the principle of temporal coherence, we develop a novel computational model that exploits the difference in the temporal evolution of features that belong to different sources to perform unsupervised monaural source segregation. While using no prior information about the target speaker, this method can gracefully incorporate knowledge about the target speaker to further enhance the segregation.Through a series of EEG experiments we collect neurological evidence to support the principle behind the model. Aside from its unusual structure and computational innovations, the proposed model provides testable hypotheses of the physiological mechanisms of the remarkable perceptual ability of humans to segregate acoustic sources, and of its psychophysical manifestations in navigating complex sensory environments. Results from EEG experiments provide further insights into the assumptions behind the model and provide motivation for future single unit studies that can provide more direct evidence for the principle of temporal coherence.

Segregation predictions for a binary mixture of granular material under flow conditions in a continuum mechanics framework

Abstract not available