Investigation of the behaviour of electronic resistive switching memory based on MoSe<font size=-1>₂</font>-doped ultralong Se microwires

published_or_final_versio

Scaling Laws for Transition from Varicose to Whipping Instabilities in Electrohydrodynamic Jetting

China Scholarship Council (CSC)European Union’s Horizon 2020 research and innovation program Grant No. 646296Engineering and Physical Sciences Research Council (UK) under Grant No. EP/N509917/

Breakup length of electrified liquid jets: Scaling laws and applications

The growth rate of infinitesimal perturbations in electrified jets at the viscid and inviscid limits exhibit different behavior. Using Saville’s approach to estimate the growth rate for perturbations in the long wavelength limit and by neglecting the effects of gravity, we derived two scaling laws for the jet breakup length in two regimes of the Taylor cone mode. Our experimental measurements show clear dependency of the jet length on the flow rate; however changing the applied voltage has appeared to affect only the cone angle, but not to the jet itself. The experimental data has an excellent collapse with our theoretical model in both cases. The transition between viscid and inviscid limits appears to occur at an electric Reynolds number, based upon jet diameter of Re≃5. Finally, we showed how to enhance the quality and the resolution in Electrostatic Inkjet Printing applications by setting the printing distance lower than the jet length and predicting the line width as a function of the operational parameters.This work was supported by the Engineering and Physical Sciences Research Council (United Kingdom) under Grant No. EP/N509917/1 and the European Union’s Horizon 2020 research and innovation program under Grant No. 646296

A filtration model for prediction of local flux distribution and optimization of submerged hollow fiber membrane module

© 2015 American Institute of Chemical Engineers. A filtration mathematical model was developed on the basis of complete mass balance and momentum balance for the local flux distribution prediction and optimization of submerged hollow fiber membrane module. In this model, the effect of radial permeate flow on internal flow resistance was considered through a slip parameter obtained from the local flux experiments. The effects of fiber length, inside diameter, and average operating flux on local flux distribution were investigated using this model. The predicted results were in good agreement with the experimental data obtained from literature. It was also found that the asymmetry distribution of local flux could be intensified with the increase of average operating flux and fiber length, but slowed down with the increase of fiber inside diameter. Furthermore, the simulation coupled with energy consumption analysis could efficiently predict and illustrate the relationship between fiber geometry and water production efficiency

Bone-protective effects of bioactive fractions and ingredients in Sambucus williamsii HANCE

2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Design, synthesis of 4-hydroxyl-α-cyanocinnmaic acid derived compounds and their applications in chiral recognition of amino acids by mass spectrometry

2012-2013 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

A Dynamic Knowledge Management Framework for the High Value Manufacturing Industry

Dynamic Knowledge Management (KM) is a combination of cultural and technological factors, including the cultural factors of people and their motivations, technological factors of content and infrastructure and, where these both come together, interface factors. In this paper a Dynamic KM framework is described in the context of employees being motivated to create profit for their company through product development in high value manufacturing. It is reported how the framework was discussed during a meeting of the collaborating company’s (BAE Systems) project stakeholders. Participants agreed the framework would have most benefit at the start of the product lifecycle before key decisions were made. The framework has been designed to support organisational learning and to reward employees that improve the position of the company in the market place

The Influence of Direct and Indirect Speech on Mental Representations

Language can be viewed as a set of cues that modulate the comprehender's thought processes. It is a very subtle instrument. For example, the literature suggests that people perceive direct speech (e.g., Joanne said: 'I went out for dinner last night') as more vivid and perceptually engaging than indirect speech (e.g., Joanne said that she went out for dinner last night). But how is this alleged vividness evident in comprehenders' mental representations? We sought to address this question in a series of experiments. Our results do not support the idea that, compared to indirect speech, direct speech enhances the accessibility of information from the communicative or the referential situation during comprehension. Neither do our results support the idea that the hypothesized more vivid experience of direct speech is caused by a switch from the visual to the auditory modality. However, our results do show that direct speech leads to a stronger mental representation of the exact wording of a sentence than does indirect speech. These results show that language has a more subtle influence on memory representations than was previously suggested