A Method for siting and prioritizing the removal of derelict vessels in Florida Coastal Waters: test applications in the Florida Keys

Increased boating activities and new waterfront developments have contributed an estimated 3,000 dismantled, abandoned, junked, wrecked, derelict vessels to Florida coastal waters. This report outlines a method of siting and prioritizing derelict vessel removal using the Florida Keys as a test area. The data base was information on 240 vessels, obtained from Florida Marine Patrol files. Vessel location was plotted on 1:250,000 regional and 1:5,000 and 1:12,000 site maps. Type of vessel, length, hull material, engine, fuel tanks, overall condition, afloat and submerged characteristics, and accessibility, were used to derive parametric site indices of removal priority and removal difficulty. Results indicate 59 top priority cases which should be the focus of immediate clean up efforts in the Florida Keys. Half of these cases are rated low to moderate in removal difficulty; the remainder are difficult to remove. Removal difficulty is a surrogate for removal cost: low difficulty -low cost, high difficulty - high cost. The rating scheme offers coastal planners options of focusing removal operations either on (1) specific areas with clusters of high priority derelict vessels or on (2) selected targeted derelicts at various, specific locations. (PDF has 59 pages.

Rendimientos del cultivo de colza en Mendoza con distintos regímenes de riego en períodos no críticos

Actualmente existe interés en el cultivo de colza (Brassica napus) para la obtención de biodiesel porque sus semillas contienen hasta un 50% de su peso en materia grasa. Desde hace un tiempo, debido a la producción de biocombustibles, el cultivo cobró impulso, como bioenergético, dado que cumple con todos los requisitos de calidad, de acuerdo al estándar europeo (Körbitz, 1999). Si bien en Argentina la producción de aceites vegetales se hace exclusivamente basándose en cultivos estivales, la colza se presenta como una interesante alternativa de producción invernal para una amplia zona. En Argentina, a partir del año 2010 debe usarse en el gasoil un mínimo de 5% de biodiesel. Por esa razón consideramos importante realizar esta experiencia en colza. Al ser un cultivo de ciclo inverno-primaveral, el uso del recurso hídrico no compite con los principales cultivos de la región que en su gran mayoría son de ciclo primavero estival. Mendoza es de clima árido, donde los cultivos solo prosperan bajo riego y como es sabido, el agua es un recurso escaso. Esto nos motivó a cuantificar sus necesidades hídricas totales y también a determinar el manejo óptimo del riego en cuanto a láminas y momentos de aplicación, a fin de maximizar la ecuación producción por m 3 de agua aplicada. Encontramos importante determinar y cuantificar esos “ahorros de agua" que se puedan realizar durante la fase o período no crítico al estrés hídrico, sin que esto produzca disminuciones en el rendimiento. Se propuso analizar durante dos años la respuesta del cultivo al riego diferenciado, aplicándo 4 diferentes tratamientos durante el período no sensible, reponiéndose en todos los casos durante el período crítico el 100% de la demanda evapotranspirativa. Los períodos no sensibles son: Fase nº 1: Plántula, Roseta y Elongación y Fase nº 3 de endurecimiento de grano a cosecha. Esta experiencia se llevó a cabo en los dos predios que posee la Facultad de Ciencias Agrarias. (Bermejo y Luján ambos sitios ubicados dentro del oasis norte. Mendoza, Argentina) La variedad utilizada fue: SW 2836, variedad de tipo primaveral, ciclo corto. Los tratamientos fueron los siguientes: T0 en donde se aplicó el 100 % de las necesidades hídricas del cultivo y luego tres tratamientos denominados T1, T2 y T3 en los que se aplicó respectivamente el 125, 75 y 50 % de las mismas. También se cuantificaron los rendimientos en semilla y aceite que se obtuvieron con distintos manejos del riego en cuanto a láminas y momentos de aplicación, para determinar el manejo que maximice la ecuación Kg de semilla y/o aceite por m 3 de agua aplicada. Es importante destacar que en esta experiencia contamos con estudiantes avanzados de la carrera de agronomía, como así también con personal de campo de las fincas de la facultad.Fil: Antonini, C. A. Universidad Nacional de Cuyo. Facultad de Ciencias AgrariasFil: Barros, R. A. Universidad Nacional de Cuyo. Facultad de Ciencias Agraria

The potential impact on Florida-based marina and boating industries of a post-embargo Cuba: an analysis of geographic, physical, policy and industry trends

The information in this Technical Paper addresses the future of the US-Cuban marina and recreational boating industries from the geographic, physical, policy making and economic perspectives for a post-embargo Cuba. Each individual paper builds on the presentations made at the workshop, the information obtained in the subsequent trip to Cuba and presents in detailed form information which we hope is useful to all readers. (147pp.

Topology-aware indexing system for Urban Knowledge

Maps are being widely used as tools for presenting or retrieving information with spatial attributes. Existing map-based applications do not use the full potential of digital maps and geographical data: social media are disconnected from the underlying geographical entities; maps as visualization tools do not use the urban topology to cluster point of interest; maps as input systems are intrinsically ambiguous. This work presents a topology-aware indexing system supporting a new metaphor for a real integration between social media and digital maps. The methodology and technical solutions required to build and populate the indexing table starting from OpenStreetMap spatial primitives are introduced

Collaborative Multi-Perspective Urban Knowledge and Civic Media: A Never-Ending Design Challenge

Developing a civic social network requires to consider users meeting in real life, collaborating on digital entries related to real urban entities. This makes necessary to think about collaboration tools in a new perspective: ensuring the participation of users with different levels and forms of legitimacy to represent complex relations among entities, and ensuring the accountability of each contributor. We present a set of technical solutions allowing the collaboration on complex entities, keeping interactions simple, and representing multiple perspectives about shared entities

Application of the cDNA-AFLP method for studying gene expression in Fibrobacter succinogenes S85 exposed to 134.2 kHz electromagnetic field

AbstractMany biological effects related to the exposure of cells and tissues to electromagnetic fields have been reported in the literature, including those influencing DNAs and RNAs structure and ..

Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis

With the advent of Artificial Intelligence for healthcare, data synthesis methods present crucial benefits in facilitating the fast development of AI models while protecting data subjects and bypassing the need to engage with the complexity of data sharing and processing agreements. Existing technologies focus on synthesising real-time physiological and physical records based on regular time intervals. Real health data are, however, characterised by irregularities and multimodal variables that are still hard to reproduce, preserving the correlation across time and different dimensions. This paper presents two novel techniques for synthetic data generation of real-time multimodal electronic health and physical records, (a) the Temporally Correlated Multimodal Generative Adversarial Network and (b) the Document Sequence Generator. The paper illustrates the need and use of these techniques through a real use case, the H2020 GATEKEEPER project of AI for healthcare. Furthermore, the paper presents the evaluation for both individual cases and a discussion about the comparability between techniques and their potential applications of synthetic data at the different stages of the software development life-cycle