978 resultados para online-Archiv
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2-(2-Phenyl-1H-phenanthro-[9,10-d]imidazole-1-yl)-acetic acid (PPIA) and 2-(9-acridone)-acetic acid (AAA), two novel precolumn fluorescent derivatization reagents, have been developed and compared for analysis of primary aromatic amines by high performance liquid chromatographic fluorescence detection coupled with online mass spectrometric identification. PPIA and AAA react rapidly and smoothly with the aromatic amines on the basis of a condensation reaction using 1-ethyl-3-(3dimethylaminopropyl)-carbodiimide (EDC) as dehydrating catalyst to form stable derivatives with emission wavelengths at 380 and 440 nm, respectively. Taking six primary aromatic amines (aniline, 2-methylaniline, 2-methoxyaniline, 4-methylaniline, 4-chloroaniline, and 4-bromoaniline) as testing compounds, derivatization conditions such as coupling reagent, basic catalyst, reaction temperature and time, reaction solvent, and fluorescent labeling reagent concentration have also been investigated. With the better PPIA method, chromatographic separation of derivatized aromatic amines exhibited a good baseline resolution on an RP column. At the same time, by online mass spectrometric identification with atmospheric pressure chemical ionization (APCI) source in positive ion mode, the PPIA-labeled derivatives were characterized by easy-to-interpret mass spectra due to the prominent protonated molecular ion m/z [M + H](+) and specific fragment ions (MS/MS) m/z 335 and 295. The linear range is 24.41 fmol-200.0 pmol with correlation coefficients in the range of 0.9996-0.9999, and detection limits of PPIA-labeled aromatic amines are 0.12-0.21 nmol/L (S/N = 3). Method repeatability, precision, and recovery were evaluated and the results were excellent for the efficient HPLC analysis. The most important argument, however, was the high sensitivity and ease-of-handling of the PPIA method. Preliminary experiments with wastewater samples collected from the waterspout of a paper mill and its nearby soil where pollution with aromatic amines may be expected show that the method is highly validated with little interference in the chromatogram.
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A method for the determination of long and short chain free fatty acids (FFAs), using 1-[2-(ptoluenesulfonate)-ethyll-2-phenylimidazole-[4,5-f-9,10-phenanthrene (TSPP) as labeling reagent, has been developed. Identification of FFA derivatives was carried out by HPLC-MS with atmospheric pressure chemical ionization (APCI) in positive ion mode. Gradient elution on an Agilent Eclipse XDB-C-8 column gave good separation of the derivatives. Excellent linear responses were observed and good compositional data could be obtained from as little as 200 mg of bryophyte plants and soil samples. Facile TSPP derivatization coupled with HPLC-APCI-MS analysis allowed the development of a highly sensitive method for the quantitative analysis of trace level of FFAs from biological and natural environmental samples.
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2008
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Conhecendo o AINFO 2001. Gerenciador de dados AINFO 2001. Operando o AINFO 2001. Atualizando as bases de dados. Sobre as bases de dados. Gerando e imprimindo relatórios. Sobre o SIR - Recuperação da Informação. Descrição dos campos. Descrição dos campos. Descrição dos relatórios.
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This paper reports a grounded theory study of e-moderation of asynchronous online discussions, to explore the processes by which tutors in higher education decide when and how to e-moderate. It aims to construct a theory of e-moderation based on some key factors which appear to influence e-moderation. It discusses previous research on the definition and practice of e-moderation, and then describes the study, which involved four e-moderators working in two different university contexts. Key themes on e-moderation, which emerged using a grounded theory approach, are discussed. It proposes a paradigm framework for e-moderation and suggests that as a facilitative activity, it should be sufficiently contained within ‘a ring-fenced learning arena’. Factors outwith and inside the ring-fence which appear to influence e-moderation and their implications for future theory development and validation are discussed. Keywords: e-moderation; grounded theory; online learning; asynchronous discussions; ring-fence
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A survey of Scottish Community Councils found that only 22% have up-to-date online public presences. Only 4% of Community Councils have easily accessible online planning content. Most Community Councils websites communicate from Community Councils to citizen – only 10% use social media to host online discussion and opinion-gathering. Local Authority-hosted presences guarantee that Community Councils have presence but not that they are up to date. Such presences are also not content-rich. Community Councils’ own volition makes the difference between having no presence at all, mediocre presences and informative, content-rich presences that may serve citizens well. Suggestions to improve matters include broadening the scope of Local Authority-hosted presences and CCs mentoring each other.
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This document reports the results of a survey, carried out in late spring 2014, of the public web presences of potentially over 1300 Scottish Community Councils (CCs). It follows on from similar survey in summer 2012. The report reviews content-types associated with up-to-date presences and examines Community Councils’ social media use, using three archetypes which may be used to derive models and examples of good practice, and create recommendations for Community Councils and their Local Authorities (LAs). The research found that there has little change overall since 2012, which combined with a high level of churn implies an increasing number of digitally disengaged Community Councils. A good way forward would be for to CCs emulate and adapt the examples of good practice identified, by publishing minutes, news, planning and local area information, limiting publication of other types of content, and using social media to engage with citizens. A number of broader recommendations are made to LAs, including that that they publish CC schemes on their websites, provide training in online methods and work together via their CCLOs and IT teams to support CCs
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Barry, L., Tedd, L.A. (2008). Local studies collections online: an investigation in Irish public libraries. Program: electronic library and information systems, 42(2), 163-186.
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Kohl, U. (2004). Who has the right to govern online activity? A criminal and civil point of view. International Review of Law, Computers & Technology 18 (3), 387-410 RAE2008
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null RAE2008
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Kohl, U. (2005). Ignorance is no Defence but is Inaccessibility? On the Accessibility of National Laws to Foreign Online Publishers. Information & Communities Technology Law, 14 (1), 25-41. RAE2008 Information & Communications Technology Law Volume 14, Issue 1, 2005 Special Issue: GATED COMMUNITIES
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Dissertação apresentada à Universidade Fernando Pessoa como parte dos requisitos de obtenção do grau de Mestre em Ciências da Comunicação, ramo de Marketing e Publicidade
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We present an online distributed algorithm, the Causation Logging Algorithm (CLA), in which Autonomous Systems (ASes) in the Internet individually report route oscillations/flaps they experience to a central Internet Routing Registry (IRR). The IRR aggregates these reports and may observe what we call causation chains where each node on the chain caused a route flap at the next node along the chain. A chain may also have a causation cycle. The type of an observed causation chain/cycle allows the IRR to infer the underlying policy routing configuration (i.e., the system of economic relationships and constraints on route/path preferences). Our algorithm is based on a formal policy routing model that captures the propagation dynamics of route flaps under arbitrary changes in topology or path preferences. We derive invariant properties of causation chains/cycles for ASes which conform to economic relationships based on the popular Gao-Rexford model. The Gao-Rexford model is known to be safe in the sense that the system always converges to a stable set of paths under static conditions. Our CLA algorithm recovers the type/property of an observed causation chain of an underlying system and determines whether it conforms to the safe economic Gao-Rexford model. Causes for nonconformity can be diagnosed by comparing the properties of the causation chains with those predicted from different variants of the Gao-Rexford model.
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Nearest neighbor classifiers are simple to implement, yet they can model complex non-parametric distributions, and provide state-of-the-art recognition accuracy in OCR databases. At the same time, they may be too slow for practical character recognition, especially when they rely on similarity measures that require computationally expensive pairwise alignments between characters. This paper proposes an efficient method for computing an approximate similarity score between two characters based on their exact alignment to a small number of prototypes. The proposed method is applied to both online and offline character recognition, where similarity is based on widely used and computationally expensive alignment methods, i.e., Dynamic Time Warping and the Hungarian method respectively. In both cases significant recognition speedup is obtained at the expense of only a minor increase in recognition error.