Information structure and the accessibility of clausally introduced referents

This paper will examine the role of various factors in affecting the salience, and hence the accessibility to pronominal reference, of entities introduced into a discourse by a full clause. We begin with the premise that the possibility of pronominal reference with it versus that depends on the cognitive status of the referent, in the sense of Gundel, Hedberg and Zacharski (1993). This formulation of the problem provides grounds for an explanation of the data presented above, and provides a framework within which we examine the role of various other factors in promoting the salience of a clausally introduced entity, including the information structure of the utterance in which the entity is introduced. For entities introduced by clausal complements to bridge verbs, we show that the information structure of the utterance introducing the entity has a partial, or one-sided, effect on the salience of the entity. When the complement clause is focal, the salience of the entity depends only on its referential givenness-newness (in the sense of Gundel 1988, 1999b), as we would expect. But when the complement clause is ground material, the salience of an entity introduced by the clause is enhanced. Other factors, including the presuppositionality of factive and interrogative complements, also serve to enhance the salience of entities introduced by complement clauses

The effect of strategies of personal resilience on depression recovery in an Australian cohort : a mixed methods study

Strategies of personal resilience enable successful adaptation in adversity. Among patients experiencing depression symptoms, we explored which personal resilience strategies they find most helpful, and tested the hypothesis that use of these strategies improves depression recovery. We used interview and survey data from the Diagnosis, Management and Outcomes of Depression in Primary Care 2005 cohort of patients experiencing depression symptoms in Victoria, Australia. 564 participants answered a computer assisted telephone interview question at 12 months follow-up, about what they found most helpful for their depression, stress or worries. Depressive disorder and severity were measured at annual follow-up using the Composite International Diagnostic Interview and the PHQ-9 self-rating questionnaire. Using interview responses we categorised participants as users or not of strategies of personal resilience, specifically, drawing primarily on expanding their own inner resources or pre-existing relationships: 316 (56%) were categorised as primarily users of personal resilience strategies. Of these, 193 (61%) reported expanding inner resources, 79 (25%) drawing on relationships, and 44 (14%) reported both. There was no association between drawing on relationships and depression outcome. There was evidence supporting an association between expanding inner resources and depression outcome: 25% of users having major depressive disorder one year later compared to 38% of non-users (adjusted OR 0.59, CI 0.36-0.97). This is the first study to show improved outcome for depression for those who identify as most helpful the use of personal resilience strategies. The difference in outcome is important as expanding inner resources includes a range of low intensity, yet commonly available strategies

Detection of advanced persistent threat using machine-learning correlation analysis

As one of the most serious types of cyber attack, Advanced Persistent Threats (APT) have caused major concerns on a global scale. APT refers to a persistent, multi-stage attack with the intention to compromise the system and gain information from the targeted system, which has the potential to cause significant damage and substantial financial loss. The accurate detection and prediction of APT is an ongoing challenge. This work proposes a novel machine learning-based system entitled MLAPT, which can accurately and rapidly detect and predict APT attacks in a systematic way. The MLAPT runs through three main phases: (1) Threat detection, in which eight methods have been developed to detect different techniques used during the various APT steps. The implementation and validation of these methods with real traffic is a significant contribution to the current body of research; (2) Alert correlation, in which a correlation framework is designed to link the outputs of the detection methods, aims to identify alerts that could be related and belong to a single APT scenario; and (3) Attack prediction, in which a machine learning-based prediction module is proposed based on the correlation framework output, to be used by the network security team to determine the probability of the early alerts to develop a complete APT attack. MLAPT is experimentally evaluated and the presented sy

Receiving care for intimate partner violence in primary care: barriers and enablers for women participating in the weave randomised controlled trial

BACKGROUND: Interventions in health settings for intimate partner violence (IPV) are being increasingly recognised as part of a response to addressing this global public health problem. However, interventions targeting this sensitive social phenomenon are complex and highly susceptible to context. This study aimed to elucidate factors involved in women\u27s uptake of a counselling intervention delivered by family doctors in the weave primary care trial (Victoria, Australia). METHODS: We analysed associations between women\u27s and doctors\u27 baseline characteristics and uptake of the intervention. We interviewed a random selection of 20 women from an intervention group women to explore cognitions relating to intervention uptake. Interviews were audio-recorded, transcribed, coded in NVivo 10 and analysed using the theory of planned behaviour (TPB). RESULTS: Abuse severity and socio-demographic characteristics (apart from current relationship status) were unrelated to uptake of counselling (67/137 attended sessions). Favourable doctor communication was strongly associated with attendance. Eight themes emerged, including four sets of beliefs that influenced attitudes to uptake: (i) awareness of the abuse and readiness for help; (ii) weave as an avenue to help; (iii) doctor\u27s communication; and (iv) role in providing care for IPV; and four sets of beliefs regarding women\u27s control over uptake: (v) emotional health, (vi) doctors\u27 time, (vii) managing the disclosure process and (viii) viewing primary care as a safe option. CONCLUSIONS: This study has identified factors that can promote the implementation and evaluation of primary care-based IPV interventions, which are relevant across health research settings, for example, ensuring fit between implementation strategies and characteristics of the target group (such as range in readiness for intervention). On practice implications, providers\u27 communication remains a key issue for engaging women. A key message arising from this work concerns the critical role of primary care and health services more broadly in reaching victims of domestic violence, and providing immediate and ongoing support (depending on the healthcare context)

Antiphase dynamics in a multimode semiconductor laser with optical injection

A detailed experimental study of antiphase dynamics in a two-mode semiconductor laser with optical injection is presented. The device is a specially designed Fabry-Perot laser that supports two primary modes with a THz frequency spacing. Injection in one of the primary modes of the device leads to a rich variety of single and two-mode dynamical scenarios, which are reproduced with remarkable accuracy by a four dimensional rate equation model. Numerical bifurcation analysis reveals the importance of torus bifurcations in mediating transitions to antiphase dynamics and of saddle-node of limit cycle bifurcations in switching of the dynamics between single and two-mode regimes.Comment: 7 pages, 9 figure

The catalytic conversion of natural gas to useful products

This paper gives a brief summary of some processes, direct and indirect, for the conversion of natural gas to useful products. It then proceeds to give an outline of some work from the authors' laboratories on subjects such as steam reforming, oxidative coupling and CO2 reforming of methane, paying particular attention to the development of novel catalysts for these processes

Characterization and Evaluation of Methane Oxidation Catalysts for Dual-Fuel Diesel and Natural Gas Engines

The UK has incentivized the use of natural gas in heavy goods vehicles (HGVs) by converting to dual-fuel (DF) diesel-natural gas systems to reduce noxious and greenhouse gas emissions. Laboratory and on-road measurements of DF vehicles have demonstrated a decrease in CO$_2$ emissions relative to diesel, but there is an increase in greenhouse gas (CO$_2$e) emissions because of unburned methane. Decreasing tailpipe emissions of methane via after-treatment devices in lean-burn compression ignition engines is a challenge because of low exhaust temperatures (~400 °C) and the presence of water vapor. In this study, six commercially available methane oxidation catalysts (MOCs) were tested for their application in DF HGV vehicles. Each MOC was characterized in terms of the catalyst platinum group metal (PGM) loading (both Pd and Pt), particle size, catalytic surface area, and Pd:Pt ratio. In addition, the washcoat surface area, pore volume, and pore size were evaluated. The MOC conversion efficiency was evaluated in controlled methane-oxidation experiments with varying temperatures, flow rates, and gas compositions. Characteristic-conversion efficiency correlations demonstrate that the influential MOC characteristics were PGM loading (both Pd and Pt), Pd:Pt ratio, washcoat surface area, and washcoat pore volume. With 90 % methane oxidation at less than 400 °C in DF HGV exhaust conditions, sample 1 had the highest conversion efficiency because of a high PGM loading (330 g/ft$^3$, 12,000 g/m$^3$), a 5.9 Pd:Pt ratio, a high alumina washcoat surface area of 20 m$^2$/cm$^3$, and 74-mm$^3$/cm$^3$ pore volume. Additional studies showed increased MOC conversion efficiency with decreasing gas hourly space velocities (GHSVs) and increasing methane concentrations.We acknowledge support from the UK Engineering and Physical Sciences Research Council (EP/K00915X/1), the UK Department for Transport, the Office for Low Emission Vehicles and Innovate UK (project reference 400266), and the industrial partners of the Centre for Sustainable Road Freight. GreenUrban Technologies Ltd. (3) and Prins Autogas UK Ltd. (1) provided the samples for testing in this study

A dataflow IR for memory efficient RIPL compilation to FPGAs

Field programmable gate arrays (FPGAs) are fundamentally different to fixed processors architectures because their memory hierarchies can be tailored to the needs of an algorithm. FPGA compilers for high level languages are not hindered by fixed memory hierarchies. The constraint when compiling to FPGAs is the availability of resources. In this paper we describe how the dataflow intermediary of our declarative FPGA image processing DSL called RIPL (Rathlin Image Processing Language) enables us to constrain memory. We use five benchmarks to demonstrate that memory use with RIPL is comparable to the Vivado HLS OpenCV library without the need for language pragmas to guide hardware synthesis. The benchmarks also show that RIPL is more expressive than the Darkroom FPGA image processing language

Screening women for intimate partner violence in healthcare settings: abridged Cochrane systematic review and meta-analysis

Objective To examine the effectiveness of screening for intimate partner violence conducted within healthcare settings to determine whether or not screening increases identification and referral to support agencies, improves women’s wellbeing, decreases further violence, or causes harm. Design Systematic review and meta-analysis of trials assessing effectiveness of screening. Study assessment, data abstraction, and quality assessment were conducted independently by two of the authors. Standardised estimations of the risk ratios and 95% confidence intervals were calculated. Data sources Nine databases searched up to July 2012 (CENTRAL, Medline, Medline(R), Embase, DARE, CINAHL, PsycINFO, Sociological Abstracts, and ASSIA), and five trials registers searched up to 2010. Eligibility criteria for selecting studies Randomised or quasi-randomised trials of screening programmes for intimate partner violence involving all women aged ≥16 attending a healthcare setting. We included only studies in which clinicians in the intervention arm personally conducted the screening, or were informed of the screening result at the time of the consultation, compared with usual care (or no screening). Studies of screening programmes that were followed by structured interventions such as advocacy or therapeutic intervention were excluded. Results 11 eligible trials (n=13 027) were identified. In six pooled studies (n=3564), screening increased the identification of intimate partner violence (risk ratio 2.33, 95% confidence interval 1.39 to 3.89), particularly in antenatal settings (4.26, 1.76 to 10.31). Based on three studies (n=1400), we detected no evidence that screening increases referrals to domestic violence support services (2.67, 0.99 to 7.20). Only two studies measured women’s experience of violence after screening (three to 18 months after screening) and found no reduction in intimate partner violence. One study reported that screening does not cause harm. Conclusions Though screening is likely to increase identification of intimate partner violence in healthcare settings, rates of identification from screening interventions were low relative to best estimates of prevalence of such violence. It is uncertain whether screening increases effective referral to supportive agencies. Screening does not seem to cause harm in the short term, but harm was measured in only one study. As the primary studies did not detect improved outcomes for women screened for intimate partner violence, there is insufficient evidence for screening in healthcare settings. Studies comparing screening versus case finding, or screening in combination with therapeutic intervention for women’s long term wellbeing, are needed to inform the implementation of identification policies in healthcare settings