60 resultados para Regular Closed


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Regular expressions are used to parse textual data to match patterns and extract variables. They have been implemented in a vast number of programming languages with a significant quantity of research devoted to improving their operational efficiency. However, regular expressions are limited to finding linear matches. Little research has been done in the field of object-oriented results which would allow textual or binary data to be converted to multi-layered objects. This is significantly relevant as many of todaypsilas data formats are object-based. This paper extends our previous work by detailing an algorithmic approach to perform object-oriented parsing, and provides an initial study of benchmarks of the algorithms of our contribution

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The impact of regular additions of a surfactant (ethylene bis-stearamide; EBS) at different time intervals was investigated on the powder characteristics of a biomedical Ti-10Nb-3Mo alloy (wt.%). Ball milling was performed for 10 h on the elemental powders in four series of experiments at two rotation speeds (200 and 300 rpm). The addition of 2 wt.% total EBS at different time intervals during ball milling resulted in noticeable changes in particle size and morphology of the powders. The surfactant addition at shorter time intervals led to the formation of finer particles, a more homogenous powder distribution, a higher powder yield, and a lower contamination content in the final materials. Thermal analysis of the powders after ball milling suggested that differing decomposition rates of the surfactant were responsible for the measured powder particle changes and contamination contents. The results also indicated that the addition of surfactant during ball milling at 200 rpm caused a delay in the alloy formation, whereas ball milling at 300 rpm favored the formation of the titanium alloy.Crown Copyright © 2014 Published by Elsevier B.V. All rights reserved.

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Environmental initiatives to support walking are keys to non-communicable disease prevention, but the relevant evidence comes mainly from cross-sectional studies. We examined neighborhood environmental attributes associated cross-sectionally with walking and those associated prospectively with walking maintenance.

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To determine whether the encoding of misleading information presented in two different types of leading questions (closed specific and open presumptive questions) could be disrupted, participants took part in a misinformation experiment. They viewed an event before answering questions that had a closed specific structure (e.g. “Did the robber have a shotgun that had a black barrel and a brown stock?”) or an open presumptive structure (e.g. “Tell me about the shotgun”). Half the questions contained misleading information and half did not. For some of the questions, participants completed a concurrent distractor task. Finally, they completed a recognition memory test about the original event. Results showed that the concurrent distractor task during the interview reduced the size of the misinformation effect for the closed specific questions, but had no impact on the misinformation effect for the open presumptive questions. The results suggest that open presumptive questions encourage participants to encode and process the misleading information more deeply than the closed specific questions. The misinformation effect was more difficult to disrupt with a concurrent task during the encoding of the misleading information for open presumptive questions than for closed specific questions. The implications for interviewing are discussed.

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Deep brain stimulation is an effective and safe medical treatment for a variety of neurological and psychiatric disorders including Parkinson's disease, essential tremor, dystonia, and treatment resistant obsessive compulsive disorder. A closed loop deep brain stimulation (CLDBS) system automatically adjusts stimulation parameters by the brain response in real time. The CLDBS continues to evolve due to the advancement in the brain stimulation technologies. This paper provides a study on the existing systems developed for CLDBS. It highlights the issues associated with CLDBS systems including feedback signal recording and processing, stimulation parameters setting, control algorithm, wireless telemetry, size, and power consumption. The benefits and limitations of the existing CLDBS systems are also presented. Whilst robust clinical proof of the benefits of the technology remains to be achieved, it has the potential to offer several advantages over open loop DBS. The CLDBS can improve efficiency and efficacy of therapy, eliminate lengthy start-up period for programming and adjustment, provide a personalized treatment, and make parameters setting automatic and adaptive.

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In the RFID system a tag is attached to an object which might own by a number of people during its life cycle. As a result, the RFID system requires to transfer ownership of the tag. The ownership transfer has to protect privacy of current and new owner. There are number of ownership transfer protocol proposed to achieve secure ownership transfer. However, most of them are impractical or insecure to implement on current passive RFID tags. We are presenting an ownership transfer protocol using timer based shared secret for closed loop RFID systems. The protocol will ensure security and privacy of involved parties in the idle circumstances. Our comparison shows that the proposed protocol is more secure and practical than existing similar ones.

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In RFID system a tag is attached to an object which might own by a number of owners during its life time. This requires the RFID system to transfer ownership of the tag to its new owner. The ownership transfer has to protect privacy of current and new owner. Many ownership tag ownership transfer exists in the literature, however, most of them are impractical or insecure to implement on current passive RFID tags. We are proposing a timer based ownership transfer protocol for closed loop RFID systems. The proposal in this paper includes two implement scenario to cover diverse tags type. The protocol will ensure security and privacy of involved parties in the idle circumstances. Our comparison shows that the proposed protocol is more secure and practical than existing similar ones.

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 Research generally classifies internet gamblers as those who have gambled online at least once in the previous year. This classification system has been criticised on the grounds that it fails to consider the frequency of internet gambling. This study aimed to contrast the demographic, gambling, and psychosocial profiles of regular internet gamblers (at least monthly in the previous year) with those of past-year internet gamblers. Computer-assisted telephone interviews were conducted with 4303 adult respondents from Tasmania, Australia. The findings revealed that 3.3% were past-year internet gamblers and 2.1% were regular internet gamblers. Both past-year and regular internet gambling were significantly associated with several variables (younger age, dependent children, paid employment, higher annual income, higher gambling frequency and expenditure, younger age of first gambling, challenge and positive feelings gambling motives, and positive reinforcement gambling triggers). However, several variables were significantly associated only with past-year internet gambling (male gender, living with partner, number of gambling activities, regulate internal state gambling motives, hazardous alcohol use, cannabis use, and other illicit drug use) or regular internet gambling (higher education). Only gambling for positive feelings was a significant independent predictor of both past-year and regular internet gambling. These findings suggest that the classification of past-year internet gambling that is normally employed in research produces profiles that are not fully generalizable to regular internet gamblers.