[ { "key": "TMRM3RXS", "version": 2, "library": { "type": "group", "id": 219463, "name": "Science Direct", "links": { "alternate": { "href": "https://www.zotero.org/groups/science_direct", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/219463/items/TMRM3RXS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/science_direct/items/TMRM3RXS", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1591581, "username": "mdonoso", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mdonoso", "type": "text/html" } } }, "creatorSummary": "Moreno et al.", "parsedDate": "2010-07", "numChildren": 0 }, "data": { "key": "TMRM3RXS", "version": 2, "itemType": "journalArticle", "title": "Physicochemical variations in atmospheric aerosols recorded at sea onboard the Atlantic–Mediterranean 2008 Scholar Ship cruise (Part II): Natural versus anthropogenic influences revealed by PM10 trace element geochemistry", "creators": [ { "creatorType": "author", "firstName": "Teresa", "lastName": "Moreno" }, { "creatorType": "author", "firstName": "Noemi", "lastName": "Pérez" }, { "creatorType": "author", "firstName": "Xavier", "lastName": "Querol" }, { "creatorType": "author", "firstName": "Fulvio", "lastName": "Amato" }, { "creatorType": "author", "firstName": "Andrés", "lastName": "Alastuey" }, { "creatorType": "author", "firstName": "Ravinder", "lastName": "Bhatia" }, { "creatorType": "author", "firstName": "Baruch", "lastName": "Spiro" }, { "creatorType": "author", "firstName": "Melanie", "lastName": "Hanvey" }, { "creatorType": "author", "firstName": "Wes", "lastName": "Gibbons" } ], "abstractNote": "The geochemistry of PM10 filter samples collected at sea during the Scholar Ship Atlantic–Mediterranean 2008 research cruise reveals a constantly changing compositional mix of pollutants into the marine atmosphere. Source apportionment modelling using Positive Matrix Factorization identifies North African desert dust, sea spray, secondary inorganic aerosols, metalliferous carbon, and V–Ni-bearing combustion particles as the main PM10 factors/sources. The least contaminated samples show an upper continental crust composition (UCC)-normalised geochemistry influenced by seawater chemistry, with marked depletions in Rb, Th and the lighter lanthanoid elements, whereas the arrival of desert dust intrusions imposes a more upper crustal signature enriched in “geological” elements such as Si, Al, Ti, Rb, Li and Sc. Superimposed on these natural background aerosol loadings are anthropogenic metal aerosols (e.g. Cu, Zn, Pb, V, and Mn) which allow identification of pollution sources such as fossil fuel combustion, biomass burning, metalliferous industries, and urban–industrial ports. A particularly sensitive tracer is La/Ce, which rises in response to contamination from coastal FCC oil refineries. The Scholar Ship database allows us to recognise seaborne pollution sourced from NW Africa, the Cape Verde and Canary islands, and European cities and industrial complexes, plumes which in extreme cases can produce a downwind deterioration in marine air quality comparable to that seen in many cities, and can persist hundreds of kilometres from land.", "publicationTitle": "Atmospheric Environment", "publisher": "", "place": "", "date": "July 2010", "volume": "44", "issue": "21–22", "section": "", "partNumber": "", "partTitle": "", "pages": "2563-2576", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Atmospheric Environment", "DOI": "10.1016/j.atmosenv.2010.04.027", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S1352231010003213", "accessDate": "2013-10-03T19:23:48Z", "PMID": "", "PMCID": "", "ISSN": "1352-2310", "archive": "", "archiveLocation": "", "shortTitle": "Physicochemical variations in atmospheric aerosols recorded at sea onboard the Atlantic–Mediterranean 2008 Scholar Ship cruise (Part II)", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Air pollution at sea", "type": 1 }, { "tag": "Marine aerosols", "type": 1 }, { "tag": "PM10 trace element chemistry", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-10-03T19:29:15Z", "dateModified": "2013-10-03T19:29:15Z" } }, { "key": "CK8AINKQ", "version": 2, "library": { "type": "group", "id": 219463, "name": "Science Direct", "links": { "alternate": { "href": "https://www.zotero.org/groups/science_direct", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/219463/items/CK8AINKQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/science_direct/items/CK8AINKQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1591581, "username": "mdonoso", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mdonoso", "type": "text/html" } } }, "creatorSummary": "Yang et al.", "parsedDate": "2012-03", "numChildren": 0 }, "data": { "key": "CK8AINKQ", "version": 2, "itemType": "journalArticle", "title": "Implementation of knowledge-based engineering methodology in ship structural design", "creators": [ { "creatorType": "author", "firstName": "H.Z.", "lastName": "Yang" }, { "creatorType": "author", "firstName": "J.F.", "lastName": "Chen" }, { "creatorType": "author", "firstName": "N.", "lastName": "Ma" }, { "creatorType": "author", "firstName": "D.Y.", "lastName": "Wang" } ], "abstractNote": "The work presents a knowledge-based engineering (KBE) methodology for ship hull structural member design. In the ship design process, many design tasks need the expertise or design experiences to support them. However, the ship design procedure is a complicated process with many labor-intensive activities. Therefore it is necessary to integrate intelligent design process into ship design. An application developed in a KBE system takes design requirements, applies the knowledge stored in the knowledge base and generates a new design automatically. Knowledge-based engineering methods for ship design are put forward, which combine with the theory of intelligent design. A ship deck design case illustrates the feasibility of the proposed approach. The KBE technology provides appropriate suggestions and support, integrates the information, to avoid conflict and errors. Besides, it also achieves knowledge reuse and accumulation, provides reliable technical support for ship design quality, significantly reduces the design cycle, and promotes working efficiency.", "publicationTitle": "Computer-Aided Design", "publisher": "", "place": "", "date": "March 2012", "volume": "44", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "196-202", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Computer-Aided Design", "DOI": "10.1016/j.cad.2011.06.012", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0010448511001540", "accessDate": "2013-10-03T19:23:48Z", "PMID": "", "PMCID": "", "ISSN": "0010-4485", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Intelligent design", "type": 1 }, { "tag": "Knowledge-base engineering", "type": 1 }, { "tag": "Ship design", "type": 1 }, { "tag": "Structures", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-10-03T19:29:10Z", "dateModified": "2013-10-03T19:29:10Z" } }, { "key": "EAWHVUAD", "version": 2, "library": { "type": "group", "id": 219463, "name": "Science Direct", "links": { "alternate": { "href": "https://www.zotero.org/groups/science_direct", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/219463/items/EAWHVUAD", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/science_direct/items/EAWHVUAD", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1591581, "username": "mdonoso", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/mdonoso", "type": "text/html" } } }, "creatorSummary": "Ray et al.", "parsedDate": "1995-05", "numChildren": 0 }, "data": { "key": "EAWHVUAD", "version": 2, "itemType": "journalArticle", "title": "A global optimization model for ship design", "creators": [ { "creatorType": "author", "firstName": "T.", "lastName": "Ray" }, { "creatorType": "author", "firstName": "R.P.", "lastName": "Gokarn" }, { "creatorType": "author", "firstName": "O.P.", "lastName": "Sha" } ], "abstractNote": "This paper presents a global optimization model for ship design. A multicriteria optimization model for ship design has been identified as a problem with multiple local optima representing widely varying sets of designs. The model as developed handles the ship design optimization problem as a multicriteria constrained multivariable nonlinear optimization process and aims at a global optimum solution of the problem. The use of any local nonlinear constrained multivariable tool for such a problem can only assure the attainment of local optima which may be quite far from the global optimum. The model incorporates a global optimization tool, a decision system handler and several accepted naval architectural estimation methods. Simulated annealing is a method based on the analogy between problems of combinatorial optimization and statistical mechanics and has been successfully applied to the ship design optimization problem as a global optimization tool. The decision system handler is based on the analytic hierarchy process. Though they do not ensure the attainment of the global optimum, solutions from the process of simulated annealing successfully identify the main cluster which is very close to the reported global optimum predicted by pure random methods and genetic algorithms. The main cluster of points identified by simulated annealing provides the designer the region of safe and economic designs.", "publicationTitle": "Computers in Industry", "publisher": "", "place": "", "date": "May 1995", "volume": "26", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "175-192", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Computers in Industry", "DOI": "10.1016/0166-3615(95)00003-M", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/016636159500003M", "accessDate": "2013-10-03T19:23:48Z", "PMID": "", "PMCID": "", "ISSN": "0166-3615", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Analytical hierarchy process", "type": 1 }, { "tag": "Global optimization", "type": 1 }, { "tag": "Multiattribute decision making", "type": 1 }, { "tag": "Ship design", "type": 1 }, { "tag": "Simulated annealing", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2013-10-03T19:29:00Z", "dateModified": "2013-10-03T19:29:00Z" } } ]