Hybrid modelling methodology applied to microstructural evolution during hot deformation of aluminium alloys

This is the post print version of this article. The official published version can be accessed from the link below.This paper considers how data based neurofuzzy modelling techniques for the poorly understood relationships between changing process histories and the evolution of the internal state variables of dislocation density, subgrain size and subgrain boundary misorientation can be combined with physically-based models to investigate the effects of the internal state variables on the flow stress and recrystallisation behaviour. The model uses genetic algorithms to optimise the constants and is validated for data on a range of aluminium-magnesium alloys of both high and commercial purity. It is shown that this hybrid modelling methodology supported by a knowledge base offers a flexible way to develop the microstructrural modelling as more data and better understanding of the evolution of the internal state variables become available.Financial support from the UK Engineering and Physical Sciences Research Council was used in this study

Reimagining career guidance: towards a pluralistic perspective

Difficulties concerning the identified mis-match between supply and demand sides of the labour market are discussed. The variability of career guidance services for young people across Europe is illustrated together with policy initiatives in some cases leading to problems of professional identity and limited support to clients of the service. The risks associated with a monoculture of ‘one size fits all’ approach to guidance practice are discussed. The principles of pluralistic approaches to counselling are discussed with the suggestion that this might prove to be a fertile way forward for career guidance practice

Scanner Invariant Representations for Diffusion MRI Harmonization

Purpose: In the present work we describe the correction of diffusion-weighted MRI for site and scanner biases using a novel method based on invariant representation. Theory and Methods: Pooled imaging data from multiple sources are subject to variation between the sources. Correcting for these biases has become very important as imaging studies increase in size and multi-site cases become more common. We propose learning an intermediate representation invariant to site/protocol variables, a technique adapted from information theory-based algorithmic fairness; by leveraging the data processing inequality, such a representation can then be used to create an image reconstruction that is uninformative of its original source, yet still faithful to underlying structures. To implement this, we use a deep learning method based on variational auto-encoders (VAE) to construct scanner invariant encodings of the imaging data. Results: To evaluate our method, we use training data from the 2018 MICCAI Computational Diffusion MRI (CDMRI) Challenge Harmonization dataset. Our proposed method shows improvements on independent test data relative to a recently published baseline method on each subtask, mapping data from three different scanning contexts to and from one separate target scanning context. Conclusion: As imaging studies continue to grow, the use of pooled multi-site imaging will similarly increase. Invariant representation presents a strong candidate for the harmonization of these data

HTS high Q resonant controller

High Tc superconductor (HTS) technology has been used to develop an advanced high Q resonant circuit and its devices. With a HTS, a very high Q circuit can be achieved; consequently special aspects such as high voltage generation and high current control can be theoretically and practically realized. Theoretical study has been carried out, as well as a practical approach has been made for the concept verification. This paper describes the theory of this high Q resonant circuit and the operational principle of its high voltage generation and current control

Power electronic-controlled high Q resonator theory with HTS technology

Power electronic-controlled switch has been used with a high-temperature superconductor (HTS) to develop an advanced high Q resonant circuit. With a HTS, a very high Q circuit can be achieved; consequently special aspects such as high voltage generation can be theoretically and practically realized. Theoretical study has been carried out for this concept and method, and this paper describes the theory of this high Q resonant circuit and the operational principle. © 2006 IEEE

Metalloporphyrin-incorporated diphosphine ligands for metal ion-binding

Poster: no. P48Diphosphine ligands have been widely used in organometallic chemistry and catalysis.1 By incorporation of functional units such as metallomacrocycles, the resulting functionalized diphosphines could exhibit unusual properties or binding behavior. In this study, we prepared several examples of ruthenium porphyrin phosphine complexes [RuII(Por)(dppm)2] (1; Por = TTP, 4-MeO-TPP, F20-TPP; dppm = bis(diphenylphosphino)methane) by a similar method to that previously reported for their congeners.2 Reaction of complexes 1 with a number of metal …published_or_final_versio

Monitoring Partially Synchronous Distributed Systems using SMT Solvers

In this paper, we discuss the feasibility of monitoring partially synchronous distributed systems to detect latent bugs, i.e., errors caused by concurrency and race conditions among concurrent processes. We present a monitoring framework where we model both system constraints and latent bugs as Satisfiability Modulo Theories (SMT) formulas, and we detect the presence of latent bugs using an SMT solver. We demonstrate the feasibility of our framework using both synthetic applications where latent bugs occur at any time with random probability and an application involving exclusive access to a shared resource with a subtle timing bug. We illustrate how the time required for verification is affected by parameters such as communication frequency, latency, and clock skew. Our results show that our framework can be used for real-life applications, and because our framework uses SMT solvers, the range of appropriate applications will increase as these solvers become more efficient over time.Comment: Technical Report corresponding to the paper accepted at Runtime Verification (RV) 201

Core excitations across the neutron shell gap in ²⁰⁷Tl

The single closed-neutron-shell, one proton-hole nucleus 207Tl was populated in deep-inelastic collisions of a 208Pb beam with a 208Pb target. The yrast and near-yrast level scheme has been established up to high excitation energy, comprising an octupol

Berberine induces autophagic cell death and mitochondrial apoptosis in liver cancer cells: The cellular mechanism

Extensive studies have revealed that berberine, a small molecule derived from Coptidis rhizoma (Huanglian in Chinese) and many other plants, has strong anti-tumor properties. To better understand berberine-induced cell death and its underlying mechanisms in cancer, we examined autophagy and apoptosis in the human hepatic carcinoma cell lines HepG2 and MHCC97-L. The results of this study indicate that berberine can induce both autophagy and apoptosis in hepatocellular carcinoma cells. Berberine-induced cell death in human hepatic carcinoma cells was diminished in the presence of the cell death inhibitor 3-methyladenine, or following interference with the essential autophagy gene Atg5. Mechanistic studies showed that berberine may activate mitochondrial apoptosis in HepG2 and MHCC97-L cells by increasing Bax expression, the formation of permeable transition pores, cytochrome C release to cytosol, and subsequent activation of the caspases 3 and 9 execution pathway. Berberine may also induce autophagic cell death in HepG2 and MHCC97-L cells through activation of Beclin-1 and inhibition of the mTOR-signaling pathway by suppressing the activity of Akt and up-regulating P38 MAPK signaling. This is the first study to describe the role of Beclin-1 activation and mTOR inhibition in berberine-induced autophagic cell death. These results further demonstrate the potential of berberine as a therapeutic agent in the emerging list of cancer therapies with novel mechanisms. © 2010 Wiley-Liss, Inc.postprin