996 research outputs found

    Addressing the cyber safety challenge: from risk to resilience

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    Addressing the cyber safety challenge: from risk to resilience describes the cyber safety issues emerging from a range of technology trends, how different populations are using technologies and the risks they face, and how we can effectively respond to each group’s unique cyber safety needs. Written by the University of Western Sydney for Telstra Corporation Ltd, the report advocates for continuing to move cyber safety from a ‘risk and protection’ framework to one that focuses on building digital resilience, as well as fostering trust and confidence in the online environment. To do this we need to: Address the needs of populations often neglected by current policies and programs – including adults, seniors, parents, and small to medium enterprises Continue to build the digital literacy skills of all populations, because digital literacy strongly influences users’ ability to engage safely online – this is best achieved by a hands-on learning approach Keep risk in perspective – the risks and benefits of digital participation go hand in hand Broaden the focus from awareness-raising to long-term behaviour change. As digital technologies become further integrated into the everyday lives of Australians, users are potentially exposed to greater risks. However, the risks and benefits of digital participation go hand in hand. The challenge, therefore, is to support users to minimise the risks without limiting their digital participation and their capacity to derive the full benefits of connectivity. If Australians are to benefit as either consumers or providers of online services and products in the e-commerce environment, consumer safety and trust need to be improved. Cyber safety needs to be considered against a transforming backdrop of technology trends, products and practices. While the rise of social media has tended to dominate recent debate and developments in cyber safety, particularly in relation to young people, a range of other trends is also shaping how users engage online, the risks they potentially face in the new media landscape, and the strategies used to address them. These trends include the rise of user generated content and content sharing platforms; the uptake of mobile technologies and, in particular, the adoption of smartphones; cloud computing; platform integration and single sign-on mechanisms; and the rise of GPS and location based services

    Tona, Terra De Mags. Tona Té Màgia, Concretament “Una Tona De Màgia”

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    En els últims anys Tona s’ha convertit en un lloc una mica més màgic que abans. L’interès per la màgia va creixent i el festival Una Tona de Màgia celebrat l’any 2016 ho va fonamentar. Jordi Pota, un dels mags de Tona, ens explica com neix aquesta fascinació per aquest bell art i què ens espera en el futur

    Effetti a lungo termine di una dieta a basso versus una dieta a moderato contenuto proteico sulla progressione della insufficienza renale cronica

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    Background: Whether low protein diet (LPD) regimens as opposed to moderate protein restrictions (MPR) improve long-term survival of Chronic Kidney Disease (CKD) patients or induce protein caloric malnutrition (PCM) remains unknown. Study Design: Intention-to-treat analysis of follow-up data from a randomized controlled trial on the metabolic effects of LPD v MPR (0.55 v 0.80 g/kg/day). Setting & Participants: 423 CKD (Stage 4-5) patients were randomized between January 1999 and January 2003, and followed until December 2006 or death. Outcomes: PCM, dialysis, death or composite outcome of dialysis and death. Measurements: Cox regression was used to model time to dialysis initiation and death as a function of protein regimen while taking into account biochemical and clinical data. Results: The average protein intakes were 0.73±0.04 g/kg/day (Gr-0.55) and 0.9±0.06 g/kg/day (Gr-0.80). After an average follow-up of 32 months (median 30 months, 1st and 3rd quartile: 21 to 39) only three patients met the criteria for PCM. The cumulative incidence of death or dialysis start were unaffected by the diet regimen, with 113 patients reaching the composite outcome: 56 (26%) patients in the Gr-0.55 and 57 (27%) patients in the Gr-0.80. Only 11% of participants died during the study, with 66% and 64% remaining dialysis and death free in the Gr-0.55 and Gr-0.80 respectively. Limitations: Secondary analysis of trial data. Conclusions: Our study shows that (1) the prescription of a low protein diet does not lead to protein wasting; (2) most patients, regularly followed in CKD clinics, remain acceptably compliant to the prescribed dietary protein intake restrictions; and (3) low protein diet does not seem to impact patient outcomes

    Alien Registration- Petreas, Pota (Biddeford, York County)

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    https://digitalmaine.com/alien_docs/5493/thumbnail.jp

    Media, Policy and the Law: The Case of Crystal Methamphetamine

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    Crystal methamphetamine has been constructed by Australian media as the most dangerous illicit drug of the twenty-first century. Such representations, so readily available in print media commentary, have transformed the image of the drug from relative obscurity to a drug worse than heroin and a modern-day folk devil. Media calls for swift and urgent political action to address the methamphetamine problem have urged policymakers to respond to this ‘national drug threat’. This thesis explores the media construction of crystal methamphetamine, its users, manufacturers, importers and those who policed them over the period 2000-2009. It examines whether, and if so, to what extent, media have contributed to the development of illicit drug policies and legislation during this period. The state of NSW was selected as a case study for this analysis. A total of 433 print media articles and six methamphetamine-related policies and laws were subject to a discourse analysis. It is argued that media created a ‘new ice risk’ that encouraged punitive policy making. The research reveals that the media response to the drug during this period drew on law enforcement, public health and government discourses. Embedded within this media response were competing and contradictory discourses of the ‘methamphetamine user’, ‘the enforcers’ and ‘the folk devil drug’ and their respective discourse strands. These discourses and strands, fuelled by dramatic metaphors, research evidence and expert commentary, contributed to a media narrative that presented the public and policymakers with an image of a risky and dangerous drug. Through the convergence of these discourses, a ‘new ice risk’ was created that became part of the larger risk environment. This ‘risk’ fed off a ‘culture of control’ that had developed in government responses to problematic social issues. Media and policymakers thus worked together to produce a punitive response to a drug purported to be a major threat to society

    Meliosma属およびVitis属植物に寄生するPhakopsora属菌の系統と分類に関する研究

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    筑波大学 (University of Tsukuba)201

    Best Practices of Convolutional Neural Networks for Question Classification

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    Question Classification (QC) is of primary importance in question answering systems, since it enables extraction of the correct answer type. State-of-the-art solutions for short text classification obtained remarkable results by Convolutional Neural Networks (CNNs). However, implementing such models requires choices, usually based on subjective experience, or on rare works comparing different settings for general text classification, while peculiar solutions should be individuated for QC task, depending on language and on dataset size. Therefore, this work aims at suggesting best practices for QC using CNNs. Different datasets were employed: (i) A multilingual set of labelled questions to evaluate the dependence of optimal settings on language; (ii) a large, widely used dataset for validation and comparison. Numerous experiments were executed, to perform a multivariate analysis, for evaluating statistical significance and influence on QC performance of all the factors (regarding text representation, architectural characteristics, and learning hyperparameters) and some of their interactions, and for finding the most appropriate strategies for QC. Results show the influence of CNN settings on performance. Optimal settings were found depending on language. Tests on different data validated the optimization performed, and confirmed the transferability of the best settings. Comparisons to configurations suggested by previous works highlight the best classification accuracy by those optimized here. These findings can suggest the best choices to configure a CNN for QC

    Impact of Dynamic PHEV load on Photovoltaic System

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    This paper presents the dynamics of photovoltaic (PV) cell with Plug in Hybrid Electric Vehicles (PHEVs) load. It is expected that PHEVs are going to be charged during the day with solar PV energy sources at the parking sites of PHEVs. The present work offers a complete system for charging PHEVs with PV cell where PHEVs load are modelled based on third order battery model. System dynamics are analyzed at maximum power point while Perturb and Observe (P&O) method is used to ensure the tracking of maximum power point from the PV cell. This paper analyses the impact of PHEV loads on the dynamic behaviour of a solar power system under both small disturbance and large change in radiation. Simulation results demonstrate that it is important to consider the dynamics of PHEVs load for charging with PV cell.DOI:http://dx.doi.org/10.11591/ijece.v2i5.123

    Evidence on the prevalence and geographic distribution of major cardiovascular risk factors in Italy

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    Objective: To assess the prevalence and geographic distribution of major cardiovascular risk factors in a large community-wide sample of the Italian population. Design: A cross-sectional survey. Standardized methods were used to collect and measure cardiovascular risk factors. Data were adjusted for survey weightings. Qualitative and quantitative variables were compared with parametric and non-parametric tests, as appropriate. Setting: Towns (n 193) across different Italian regions. Subjects: Unselected adults (n 24 213; 12 626 men; 11 587 women) aged 18–98 years (mean age 56·9 (sd 15·3) years), who volunteered to participate in a community-wide screening programme over a 2 d period in 2007. Results: Overall, the prevalence of major cardiovascular risk factors was: obesity, 22·7 % (women 18·9 %, men 26·1 %); overweight, 44·7 % (women 31·6 %, men 56·7 %); hypertension, 59·6 % (women 48·3 %, men 70·0 %); dyslipidaemia, 59·1 % (women 57·7 %, men 60·3 %); diabetes, 15·3 % (women 11·2 %, men 19·0 %) and smoking, 19·8 % (women 14·0 %, men 25·2 %). We found a high prevalence of unhealthy eating habits; fruit and vegetable consumption was below the recommended range in 60 % of the study population. Ninety per cent of the study population had more than one cardiovascular risk factor and 84 % had between two and five cardiovascular risk factors. There were differences among Italian macro-areas mainly for obesity, hypertension, dyslipidaemia and diabetes. Conclusions: The study provides alarming evidence on current prevalence data for major cardiovascular risk factors in a large sample of the Italian population. Particularly, obesity and hypertension represent a relevant public health problem. There is a pressing need for effective preventive health measures which must also take into account the differences among Italian macro-areas

    Improving fault ride through capability of DFIG during RSC flashover fault

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