Microbial contamination and management scenarios in a Mediterranean coastal lagoon (Etang de Thau, France): application of a Decision Support System within the Integrated Coastal Zone Management context

1 - In the Thau lagoon (Southern Mediterranean Coast) the main anthropogenic pressure is represented by the urban development in the watershed, whilst oyster and mussel farming represents one of the main economical activities in the region. 2 - During the last decade, the increasing organic loads from watershed and urban settlements in the lagoon surroundings have caused a diffuse contamination by faecal bacteria. Also toxic algal blooms have been occurring, impairing water quality with major impacts on shellfish farming, fishery and bathing. 3 - In this study, indicators and scenarios identified for the lagoon have been integrated in a Decision Support System (DSS) to evaluate the best solutions for reducing pressures and improving both water quality and ecosystem status. 4 - The watershed has been analysed with reference to indicators of pollution sources and transfer rates to the lagoon. In parallel, socio-economic indicators and descriptors of urban growth and development have been assessed. Numerical models have been run in order to simulate the lagoon hydrodynamics in relation to both meteorological factors and watershed runoff. The impact of faecal bacteria contamination has been evaluated in terms of economical losses and social conflicts, arising from the restriction of shellfish farming and marketing during contamination events. Finally, the DSS prototype has been applied to the lagoon in support to management and future planning

Long-term, Real-life, Observational Study in Treating Outpatient Ulcerative Colitis with Golimumab

Background and Aims: Several studies have found Golimumab (GOL) effective and safe in the short-term treatment of ulcerative colitis (UC), but few long-term data are currently available from real world. Our aim was to assess the long-term real-life efficacy and safety of GOL in managing UC outpatients in Italy. Methods: A retrospective multicenter study assessing consecutive UC outpatients treated with GOL for at least 3-month of follow-up was made. Primary endpoints were the induction and maintenance of remission in UC, defined as Mayo score ≤2. Several secondary endpoints, including clinical response, colectomy rate, steroid free remission and mucosal healing, were also assessed during the follow-up. Results: One hundred and seventy-eight patients were enrolled and followed up for a median (IQR) time of 9 (3-18) months (mean time follow-up: 33.1±13 months). Clinical remission was achieved in 57 (32.1%) patients: these patients continued with GOL, but only 6 patients (3.4%) were still under clinical remission with GOL at the 42nd month of follow-up. Clinical response occurred in 64 (36.4%) patients; colectomy was performed in 8 (7.8%) patients, all of them having primary failure. Steroid-free remission occurred in 23 (12.9%) patients, and mucosal healing was achieved in 29/89 (32.6%) patients. Adverse events occurred in 14 (7.9%) patients. Conclusions: Golimumab does not seem able to maintain long-term remission in UC in real life. The safety profile was good

An analytical model for thread-core mapping for tiled CMPs

Modern computing chips are composed of multiple, simple, low-power processing cores. Increasing the number of processing cores in a single chip brings the opportunity to exploit the inherent massive level of thread parallelism and further improved performance. However, efficient allocation of applications (threads) to available cores is a complicated process. Failing to do so, the mapping can be the limiting factor for achieving better performance on a tiled chip-multiprocessor (CMP). In this paper, we propose a mathematical formulation based on mixed integer linear program (MILP) to map application threads on cores at worst-case scenario by keeping into account the spatial topology of a two-dimensional mesh (2D-mesh) Networks-on-Chip (NoC). Our model allows evaluating in absolute term the performance of different mapping and routing algorithms. The proposed analytical model is general enough to consider a different optimising policy from energy to latency and a different number of memory controllers. In the experiments, we have shown that the proposed approach can achieve up to 40% reduction over the traditional zig-zag heuristic, therefore showing that there is a range for improving application mapping

Model-based decision support for integrated management and control of coastal lagoons

This paper addresses some results obtained within the EU funded project DITTY as concerns the development of a decision support system for the management of Southern European lagoons. The first contribution is a general model-based decision support structure, whose development was motivated by the need for a common and flexible framework to ease the integration of the outputs of different project work-packages, as well as to deal with the diversity of socio-economic and environmental characteristics of the project case studies. The proposed structure helps integrate and manage in a clear and structured fashion the information provided by different kinds of mathematical and analytical models (e.g., biogeochemical, hydrodynamic, ecological, socio-economic models of a lagoon ecosystem). Data and information obtained from the models can be used to accomplish the decision task by application of multicriteria analysis approaches. Robustness of the decision with respect to external factors beyond the control of the decision maker, is considered. As a second contribution, a real application of the proposed decision support structure to the management of clam farming in the Sacca di Goro lagoon (Italy), is described

Sequencing unreliable jobs on parallel machines

This paper addresses an allocation and sequencing problem motivated by an application in unsupervised automated manufacturing. There are n independent jobs to be processed by one of m machines or units during a finite unsupervised duration or shift. Each job is characterized by a certain success probability p i , and a reward r i which is obtained if the job is successfully carried out. When a job fails during processing, the processing unit is blocked, and the jobs subsequently scheduled on that machine are blocked until the end of the unsupervised period. The problem is to assign and sequence the jobs on the machines so that the expected total reward is maximized. This paper presents the following results for this problem and some extensions: (i) a polyhedral characterization for the single machine case, (ii) the proof that the problem is NP-hard even with 2 machines, (iii) approximation results for a round-robin heuristic, (iv) an effective upper bound. Extensive computational results show the effectiveness of the heuristic and the bound on a large sample of instances. © 2008 Springer Science+Business Media, LLC

Musculo-skeletal disorders in conservatory classical piano students

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Occupational and individual factors related to musculoskeletal symptoms among x-ray technologists.

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