Practical Lattice-Based Digital Signature Schemes

Digital signatures are an important primitive for building secure systems and are used in most real-world security protocols. However, almost all popular signature schemes are either based on the factoring assumption (RSA) or the hardness of the discrete logarithm problem (DSA/ECDSA). In the case of classical cryptanalytic advances or progress on the development of quantum computers, the hardness of these closely related problems might be seriously weakened. A potential alternative approach is the construction of signature schemes based on the hardness of certain lattice problems that are assumed to be intractable by quantum computers. Due to significant research advancements in recent years, lattice-based schemes have now become practical and appear to be a very viable alternative to number-theoretic cryptography. In this article, we focus on recent developments and the current state of the art in lattice-based digital signatures and provide a comprehensive survey discussing signature schemes with respect to practicality. Additionally, we discuss future research areas that are essential for the continued development of lattice-based cryptography.

Combining and integrating life /social sciences and citizen trainers in Nurse Education - a N. Ireland initiative

Before commencement of the academic year 2012/2013 the social sciences, public health and the biomedical sciences were taught to separate modules. This reinforced the idea off separate disciplines certainly for some of the younger students and a failure to appreciate the interconnectedness (whole person) perspective on health; separately modules taught and assessed in separate silos. There was limited understanding by the lecturers of the other areas that they were not teaching to -reflecting perhaps a dis-coordinated approach to health sciences (Mason and Whitehead 2003). As a result of significant discussion and interdisciplinary negotiation the life, social sciences public health/ health education were drawn together in the one module for the academic year 2012/13. The module provides the undergraduate students with an introduction to an understanding of Life Sciences, psychology, sociology and public health and their contribution within the context of nursing and midwifery. Each week’s teaching seeks to reflect against the other module delivered in first year - addressing clinical skills. The teaching is developing innovative e-learning approaches, including the use of a virtual community. The intention is to provide the student with a more integrated understanding and teaching to the individual’s health and to health within a social context (Lin 2001; Iles- Shih 2011). The focus is on health promotion rather than disease management. The module runs in three phases across the student’s first-year and teachers to the field of adult mental health, learning disability, children’s nursing and the midwifery students -progressively building on the student’s clinical experience. The predominant focus of the module remains on health and reflecting aspects of life and social life within N. Ireland. One of the particular areas of interest and an area of particular sensitivity is engaging the students to the context of the Northern Ireland civil unrest (the Troubles); this involves a co-educational initiative with service users, only previously attempted with social work students (Duffy 2012). The service users are represented by WAVE an organisation offering care and support to bereaved, traumatised or injured as a result of the violent civil conflict `the Troubles’. The `Troubles’ had ranged over an extended period and apart from the more evident and visual impact of death and injury, the community is marked by a disproportionate level of civil unrest, the extremes of bereavement, imprisonment, displacement antisocial behaviour and family dysfunction (Coulter et al. 2012). As co-educators with the School of Nursing and Midwifery, WAVE deliver a core lecture (augmented by online material), then followed by tutorials. The tutorials are substantially led by those who had been involved with and experienced loss and trauma as a result of the conflict (Health Service users) as `citizen trainers’ and provide an opportunity for them to share their experience and their recollection of personal interaction with nursing and midwifery students; in improving their understanding of the impact of `The Troubles’ on patients and clients affected by the events (Coulter et al. 2012) and to help better provide a quality of care cognisant of the particular needs of those affected by `the Troubles’ in N.Ireland. This approach is relatively unique to nursing in N. Ireland in that it involves many of those directly involved with and injured by the `Troubles’ as `citizen trainers’ and clearly reflects the School’s policy of progressively engaging with users and carers of nursing and midwifery services as co-educators to students (Repper & Breeze 2006). Only now could perhaps such a sensitive level of training to student nurses and midwives be delivered across communities with potential educative lessons for other communities experiencing significant civil unrest and sectarian conflict.

Combining multi-band and frequency-filtering techniques for speech recognition in noisy environments

While current speech recognisers give acceptable performance in carefully controlled environments, their performance degrades rapidly when they are applied in more realistic situations. Generally, the environmental noise may be classified into two classes: the wide-band noise and narrow band noise. While the multi-band model has been shown to be capable of dealing with speech corrupted by narrow-band noise, it is ineffective for wide-band noise. In this paper, we suggest a combination of the frequency-filtering technique with the probabilistic union model in the multi-band approach. The new system has been tested on the TIDIGITS database, corrupted by white noise, noise collected from a railway station, and narrow-band noise, respectively. The results have shown that this approach is capable of dealing with noise of narrow-band or wide-band characteristics, assuming no knowledge about the noisy environment.

The significance of combining VEGFA, FLT1, and KDR expressions in colon cancer patient prognosis and predicting response to bevacizumab

Targeting angiogenesis through inhibition of the vascular endothelial growth factor (VEGF) pathway has been successful in the treatment of late stage colorectal cancer. However, not all patients benefit from inhibition of VEGF. Ras status is a powerful biomarker for response to anti-epidermal growth factor receptor therapy; however, an appropriate biomarker for response to anti-VEGF therapy is yet to be identified. VEGF and its receptors, FLT1 and KDR, play a crucial role in colon cancer progression; individually, these factors have been shown to be prognostic in colon cancer; however, expression of none of these factors alone was predictive of tumor response to anti-VEGF therapy. In the present study, we analyzed the expression levels of VEGFA, FLT1, and KDR in two independent colon cancer datasets and found that high expression levels of all three factors afforded a very poor prognosis. The observation was further confirmed in another independent colon cancer dataset, wherein high levels of expression of this three-gene signature was predictive of poor prognosis in patients with proficient mismatch repair a wild-type KRas status, or mutant p53 status. Most importantly, this signature also predicted tumor response to bevacizumab, an antibody targeting VEGFA, in a cohort of bevacizumab-treated patients. Since bevacizumab has been proven to be an important drug in the treatment of advanced stage colon cancer, our results suggest that the three-gene signature approach is valuable in terms of its prognostic value, and that it should be further evaluated in a prospective clinical trial to investigate its predictive value to anti-VEGF treatment.

Combining vitamin C and carotenoid biomarkers better predicts fruit and vegetable intake than individual biomarkers in dietary intervention studies

PURPOSE: The aim of this study was to determine whether combining potential biomarkers of fruit and vegetables is better at predicting FV intake within FV intervention studies than single biomarkers.

DESIGN: Data from a tightly controlled randomised FV intervention study (BIOFAV; all food provided and two meals/day on weekdays consumed under supervision) were used. A total of 30 participants were randomised to either 2, 5 or 8 portions FV/day for 4 weeks, and blood samples were collected at baseline and 4 weeks for plasma vitamin C and serum carotenoid analysis. The combined biomarker approach was also tested in three further FV intervention studies conducted by the same research team, with less strict dietary control (FV provided and no supervised meals).

RESULTS: The combined model containing all carotenoids and vitamin C was a better fit than either the vitamin C only (P < 0.001) model or the lutein only (P = 0.006) model in the BIOFAV study. The C-statistic was slightly lower in the lutein only model (0.85) and in the model based upon factor analysis (0.88), and much lower in the vitamin C model (0.68) compared with the full model (0.95). Results for the other studies were similar, although the differences between the models were less marked.

CONCLUSIONS: Although there was some variation between studies, which may relate to the level of dietary control or participant characteristics, a combined biomarker approach to assess overall FV consumption may more accurately predict FV intake within intervention studies than the use of a single biomarker. The generalisability of these findings to other populations and study designs remains to be tested. 

Combining Bio- and Chemo-catalysis for the Conversion of Bio-Renewable Alcohols

The use of biomass as a source of fuel is on the sharp increase. In parallel with this expansion, new chemical processes and technologies are required to improve efficiency, sustainability, and profitability.
Biocatalytic and chemocatalytic methods can be combined to affect the conversion of bio-alcohols, and convert them to valuable chemical targets in an atom efficient and environmentally benign manor. Fermentation offers a useful first step in biomass conversion, as whole cell biocatalysts can provide sustained activity when fed with crude biomass. Coupling this with homogeneous and/or heterogeneous catalysis enables the preparation of a diverse product range. The transition between biocatalytic and chemocatalytic steps can be assisted by utilising ionic liquids.
Ionic liquids have potential roles in biorefineries that generate alcohols; as an extractant, reaction medium, and catalytic reagent. Underpinning the potential of ionic liquids in this area is: 1. the ability of ionic liquids to solubilize polyols and alcohols; 2. the facility to functionalise ionic liquids and tune properties; 3. the low volatility of ionic liquids.
The FP7 project GRAIL will be highlighted; this project focusses on the utilisation of glycerol formed as a by-product in biodiesel synthesis.

Impact of Residual Transmit RF Impairments on Training-Based MIMO Systems

Radio-frequency (RF) impairments, which intimately exist in wireless communication systems, can severely limit the performance of multiple-input-multiple-output (MIMO) systems. Although we can resort to compensation schemes to mitigate some of these impairments, a certain amount of residual impairments always persists. In this paper, we consider a training-based point-to-point MIMO system with residual transmit RF impairments (RTRI) using spatial multiplexing transmission. Specifically, we derive a new linear channel estimator for the proposed model, and show that RTRI create an estimation error floor in the high signal-to-noise ratio (SNR) regime. Moreover, we derive closed-form expressions for the signal-to-noise-plus-interference ratio (SINR) distributions, along with analytical expressions for the ergodic achievable rates of zero-forcing, maximum ratio combining, and minimum mean-squared error receivers, respectively. In addition, we optimize the ergodic achievable rates with respect to the training sequence length and demonstrate that finite dimensional systems with RTRI generally require more training at high SNRs than those with ideal hardware. Finally, we extend our analysis to large-scale MIMO configurations, and derive deterministic equivalents of the ergodic achievable rates. It is shown that, by deploying large receive antenna arrays, the extra training requirements due to RTRI can be eliminated. In fact, with a sufficiently large number of receive antennas, systems with RTRI may even need less training than systems with ideal hardware.

The Prognostic Significance of Combining VEGFA, FLT1 and KDR mRNA Expressions in Brain Tumors

Tumor cells require angiogenesis to deliver nutrients and oxygen to support their fast growth and metabolism. The vascular endothelial growth factor (VEGF) pathway plays an important role in promoting angiogenesis, including tumor-induced angiogenesis. Recent clinical trials have demonstrated the benefit of targeting VEGF in the treatment of glioblastoma. However, the prognostic significance of the expression of VEGFA and its receptors VEGFR1 (FLT1) and VEGFR2 (KDR) are still largely elusive. In the present study, we aimed to investigate the prognostic significance of these three factors, alone or in combination, in glioma patients. Gene mRNA expression was extracted from three independent brain tumor cohorts totaling 242 patients and the association between gene expression and survival was tested. We found that when VEGFA, FLT1 and KDR expressions were considered alone, only VEGFA demonstrated a significant association with patient survival. Patients with high expression of both VEGFA and either receptor had significantly worse survival than patients expressing both factors at a low level. Importantly, we found that those patients whose tumors overexpressed all three genes had a significantly shorter survival compared to those patients with a low level expression of these genes. Our results suggest that a high level expression of VEGFA and its receptors, both FLT1 and KDR, may be required for brain tumor progression, and that these three factors should be considered together as a prognostic indicator for brain tumor patients.

Secure Switch-and-Stay Combining (SSSC) for Cognitive Relay Networks

In this paper, we study a two-phase underlay cognitive relay network, where there exists an eavesdropper who can overhear the message. The secure data transmission from the secondary source to secondary destination is assisted by two decode-and-forward (DF) relays. Although the traditional opportunistic relaying technique can choose one relay to provide the best secure performance, it needs to continuously have the channel state information (CSI) of both relays, and may result in a high relay switching rate. To overcome these limitations, a secure switch-and-stay combining (SSSC) protocol is proposed where only one out of the two relays is activated to assist the secure data transmission, and the secure relay switching occurs when the relay cannot support the secure communication any longer. This security switching is assisted by either instantaneous or statistical eavesdropping CSI. For these two cases, we study the system secure performance of SSSC protocol, by deriving the analytical secrecy outage probability as well as an asymptotic expression for the high main-to-eavesdropper ratio (MER) region. We show that SSSC can substantially reduce the system complexity while achieving or approaching the full diversity order of opportunistic relaying in the presence of the instantaneous or statistical eavesdropping CSI.

Combining Bio- and Chemo-Catalysis for the Conversion of Bio-Renewable Alcohols: Homogeneous Iridium Catalysed Hydrogen Transfer Initiated Dehydration of 1,3-Propanediol to Aldehydes

Combining whole cell biocatalysis and chemocatalysis in a single reaction sequence avoids unnecessary separations, and the associated waste and energy consumption. Bacterial fermentation has been employed to convert waste glycerol from biodiesel production into 1,3-propanediol. This 1,3-propanediol can be extracted selectively from the aqueous fermentation broth using ionic liquids. 1,3-propanediol in ionic liquid solution was converted to propanal by hydrogen transfer initiated dehydration (HTID) catalysed by a Cp*IrCl2(NHC) (Cp* = pentamethylcyclopentadienyl; NHC = carbene ligand) complex. The use of an ionic liquid solvent enabled the reaction to be performed under reduced pressure, facilitating the isolation of the product, and improving the reaction selectivity. The Ir(III) catalyst in ionic liquid was found to be highly recyclable.

Combining Bio- and Chemo-catalysis for the Sustainable Production of Chemicals

The combination of bio- and chemo-catalysis to form a single synthetic route is a powerful methodology for the improvement of chemical synthesis. The extreme methods of biocatalysis (whole cell and isolated enzyme) fulfill very different roles. Biocatalysis by isolated enzymes enables highly efficient chemical transformations of extremely high selectivity and low contamination; however, conditions and substrates are limited to a narrow range. Whole cell biocatalysis enables the conversion of crude substrates, such as those derived from biomass; however, the products tend to be impure and delivered in dilute aqueous solution. Chemocatalysis is a well-established technique, and the addition of chemical catalysis and chemocatalytic methods to biocatalysis enables synthetic chemists to avoid the shortcomings of a biocatalytic step. For example, in enzymatic catalysis the addition of a chemical catalyst can allow the conversion of a racemic alcohol to an enantiopure, instead of racemic, product. In whole cell biocatalysis chemical reagents can assist the separation, transformation, and further isolation of the functionality of interest. The cooperation of bio- and chemocatalysts enables sustainable production of chemicals that would be impossible using biocatalysis alone, while achieving selectivities and using substrates not currently possible with chemocatalysis alone.