949 resultados para Street cleaning
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Using information gathered from some 30 UK surveys undertaken over the last 15 years, this paper provides planners with an understanding of road-based urban retail freight transport activity. The findings suggest that the average High Street business could expect up to 10 core goods and 7.6 service visits per week, in non-peak trading periods with 25% additional activity during the build up to Christmas. Vans (‘light goods vehicles’) were the dominant mode, responsible for 42% of delivery activity with a mean dwell time of 10 min. Where possible, load consolidation should be encouraged by methods such as Delivery and Servicing Plans and using out-of-town freight consolidation centres to bring in goods over the last mile in shared vehicles. Where this is not possible, loading bay monitoring and control, and preferred lorry routes can help manage the movement of vehicles in and out of dense urban areas. Service vehicle activity is a significant contributor to urban freight movements and often requires vehicles to be parked close to the premises being served. Centrally coordinating elements of service provision (e.g. for cleaning, equipment maintenance, recyclate collection), or providing improved, more flexible parking provision for service vehicles could be as or more beneficial in reducing overall freight impacts than focusing on core goods deliveries. In the case of the latter, ‘pay-as-you-leave’ car park charging systems could encourage short-stay service vehicles to park off-street.
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This witness seminar on the events in the East End of London of 4 October 1936, traditionally known as the ‘Battle of Cable Street’, was held at the Institute of Historical Research on 1 May 1991. It was chaired by Professor Geoffrey Alderman and introduced by Noreen Branson. The participants were Sid Bailey (former member of the BUF), Dr David Cesarani, Tony Gilbert, Charlie Goodman, Joyce Goodman, Professor Colin Holmes, Frank Lesser, Kevin Morgan (biographer of Harry Pollitt), Phil Piratin (Communist MP for Mile End 1945–50), Michael Quill, Jack Shaw, Harold Smith, Ronald F. Webb (former member of the BUF) and Len Wise (former member of the BUF). Yvonne Kapp was unable to attend but she sent a short account of her recollections of the event and this has been included with this transcript.
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This article shows how the elite origins and religious mission of the Regent Street Polytechnic encouraged participation in amateur sport in London, and promoted the suburb of Chiswick as a global context for competitive sports. From the 1880s to the outbreak of World War 2, the Polytechnic and its facilities forged synergies between the city centre and the burgeoning suburbs in London, engendering a city-wide culture of amateur sports, and embedding the Polytechnic into a global network of athletes. Suburbs are typically presented by writers as being ‘on the edge’ of metropolitan life, but such perspectives are wrong. The West London suburb of Chiswick was the home of Polytechnic facilities that provided a dynamic context for the internationalization and modernization of sport in the capital.
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Tese de Mestrado Tradução e Interpretação Especializadas Joana Santos Nazaré Orientador: Professora Doutora Manuela Veloso Instituto de Contabilidade e Administração
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This paper presents the SmartClean tool. The purpose of this tool is to detect and correct the data quality problems (DQPs). Compared with existing tools, SmartClean has the following main advantage: the user does not need to specify the execution sequence of the data cleaning operations. For that, an execution sequence was developed. The problems are manipulated (i.e., detected and corrected) following that sequence. The sequence also supports the incremental execution of the operations. In this paper, the underlying architecture of the tool is presented and its components are described in detail. The tool's validity and, consequently, of the architecture is demonstrated through the presentation of a case study. Although SmartClean has cleaning capabilities in all other levels, in this paper are only described those related with the attribute value level.
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The emergence of new business models, namely, the establishment of partnerships between organizations, the chance that companies have of adding existing data on the web, especially in the semantic web, to their information, led to the emphasis on some problems existing in databases, particularly related to data quality. Poor data can result in loss of competitiveness of the organizations holding these data, and may even lead to their disappearance, since many of their decision-making processes are based on these data. For this reason, data cleaning is essential. Current approaches to solve these problems are closely linked to database schemas and specific domains. In order that data cleaning can be used in different repositories, it is necessary for computer systems to understand these data, i.e., an associated semantic is needed. The solution presented in this paper includes the use of ontologies: (i) for the specification of data cleaning operations and, (ii) as a way of solving the semantic heterogeneity problems of data stored in different sources. With data cleaning operations defined at a conceptual level and existing mappings between domain ontologies and an ontology that results from a database, they may be instantiated and proposed to the expert/specialist to be executed over that database, thus enabling their interoperability.
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Environmental pollution is one of the major and most important problems of the modern world. In order to fulfill the needs and demands of the overgrowing human population, developments in agriculture, medicine, energy sources, and all chemical industries are necessary (Ali 2010). Over the last century, the increased industrialization and continued population growth led to an augmented production of environmental pollutants that are released into air, water, and soil, with significant impact in the degradation of various ecosystems (Ali 2010, Khan et al. 2013).(...)
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A growing number of studies have identified cleaners as a group at risk for adverse health effects of the skin and the respiratory tract. Chemical substances present in cleaning products could be responsible for these effects. Currently, only limited information is available about irritant and health hazardous chemical substances found in cleaning products. We hypothesized that chemical substances present in cleaning products are known health hazardous substances that might be involved in adverse health effects of the skin and the respiratory tract. We performed a systematic review of cleaning products used in the Swiss cleaning sector. We surveyed Swiss professional cleaning companies (n = 1476) to identify the most used products (n = 105) for inclusion. Safety data sheets (SDSs) were reviewed and hazardous substances present in cleaning products were tabulated with current European and global harmonized system hazard labels. Professional cleaning products are mixtures of substances (arithmetic mean 3.5 +/- 2.8), and more than 132 different chemical substances were identified in 105 products. The main groups of chemicals were fragrances, glycol ethers, surfactants, solvents; and to a lesser extent, phosphates, salts, detergents, pH-stabilizers, acids, and bases. Up to 75% of products contained irritant (Xi), 64% harmful (Xn) and 28% corrosive (C) labeled substances. Hazards for eyes (59%) and skin (50%), and hazards by ingestion (60%) were the most reported. Cleaning products potentially give rise to simultaneous exposures to different chemical substances. As professional cleaners represent a large workforce, and cleaning products are widely used, it is a major public health issue to better understand these exposures. The list of substances provided in this study contains important information for future occupational exposure assessment studies.
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Référence bibliographique : Rol, 56198
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Référence bibliographique : Rol, 56199
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F.1 : carte à en-tête du journal "Le Matin"
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Référence bibliographique : Rol, 61699
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Référence bibliographique : Rol, 61701
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Référence bibliographique : Rol, 61702