196 research outputs found
Tracking-ADMM for Distributed Constraint-Coupled Optimization
We consider constraint-coupled optimization problems in which agents of a
network aim to cooperatively minimize the sum of local objective functions
subject to individual constraints and a common linear coupling constraint. We
propose a novel optimization algorithm that embeds a dynamic average consensus
protocol in the parallel Alternating Direction Method of Multipliers (ADMM) to
design a fully distributed scheme for the considered set-up. The dynamic
average mechanism allows agents to track the time-varying coupling constraint
violation (at the current solution estimates). The tracked version of the
constraint violation is then used to update local dual variables in a
consensus-based scheme mimicking a parallel ADMM step. Under convexity, we
prove that all limit points of the agents' primal solution estimates form an
optimal solution of the constraint-coupled (primal) problem. The result is
proved by means of a Lyapunov-based analysis simultaneously showing consensus
of the dual estimates to a dual optimal solution, convergence of the tracking
scheme and asymptotic optimality of primal iterates. A numerical study on
optimal charging schedule of plug-in electric vehicles corroborates the
theoretical results.Comment: 14 pages, 2 figures, submitted to Automatic
Prevalence of methicillin-resistant staphylococci isolated from different biological samples at Policlinico Umberto I of Rome: correlation with vancomycin susceptibility
The methicillin-resistance is increasing all over the world in the last decade. It is more frequent among coagulase-negative staphylococci (MRCoNS); infact the 52% of S. epidermidis strains results to be resistant to methicillin.The methicillin-resistant strains also show a reduced sensitivity towards the first-line agents such as glycopeptides and other antibiotics commonly used in therapy such as trimethoprim-sulphamethoxazole, imipenem, gentamycin, fosfomycin and chlarytromicin. Unlike MRSA (Methicillin-resistant S. aureus), MRCoNS resistance to glycopeptides generally concerns teicoplanin. Although vancomycin resistance is rare in Staphylococcus isolates, the detected shift towards higher values of MICs might affect patient's clinical outcome
Homogeneous Floquet time crystal protected by gauge invariance
We show that homogeneous lattice gauge theories can realize nonequilibrium
quantum phases with long-range spatiotemporal order protected by gauge
invariance instead of disorder. We study a kicked -Higgs gauge
theory and find that it breaks the discrete temporal symmetry by a period
doubling. In a limit solvable by Jordan-Wigner analysis we extensively study
the time-crystal properties for large systems and further find that the
spatiotemporal order is robust under the addition of a solvability-breaking
perturbation preserving the gauge symmetry. The protecting
mechanism for the nonequilibrium order relies on the Hilbert space structure of
lattice gauge theories, so that our results can be directly extended to other
models with discrete gauge symmetries.Comment: 6 pages and 4 figures + 3 pages and 3 figures of Supplementary
Informatio
Comparison of pain perception between open and minimally invasive surgery in total knee arthroplasty
Total knee arthroplasty (TKA) was a well-established procedure that had shown excellent long-term results in terms of reduced pain and increased mobility. Pain was one of the most important outcome measures that contributed to patient dissatisfaction after TKA. After a computerized search of the Medline and Embase databases, we considered articles from January 1st, 1997 to October 31st, 2009 that underlined the impact on patient pain perception of either standard open total knee arthroplasty or minimally invasive total knee arthroplasty. We included articles that used the visual analog scale (VAS), Western Ontario and McMasters Universities Osteoarthritis Index (WOMAC), Knee Score, Hospital for Special Surgery Score (HSS), Oxford Knee Score (OKS) as postoperative pain indicators, and we included studies with a minimum follow-up period of two months. We excluded studies that monitored only functional postoperative knee activities. It was shown that TKA with the open technique was a better treatment for knees with a positive effect on pain and function than the minimally invasive technique
The role of life cycle assessment in supporting sustainable agri-food systems: A review of the challenges
Life cycle thinking is increasingly seen as a key concept for ensuring a transition towards more sustainable production and consumption patterns. As food production systems and consumption patterns
are among the leading drivers of impacts on the environment, it is important to assess and improve foodrelated supply chains as much as possible. Over the years, life cycle assessment has been used extensively to assess agricultural systems and food processing and manufacturing activities, and compare alternatives “from field to fork” and through to food waste management. Notwithstanding the efforts, several methodological aspects of life cycle assessment still need further improvement in order to ensure adequate and robust support for decision making in both business and policy development contexts. This paper discusses the challenges for life cycle assessment arising from the complexity of food systems, and recommends research priorities for both scientific development and improvements in practical implementation. In summary, the intrinsic variability of food production systems requires dedicated modelling approaches, including addressing issues related to: the distinction between technosphere and ecosphere; the most appropriate functional unit; the multi-functionality of biological systems; and the modelling of the emissions and how this links with life cycle impact assessment. Also, data availability and interpretation of the results are two issues requiring further attention, including how to account for consumer behaviour.info:eu-repo/semantics/publishedVersio
In quest of reducing the environmental impacts of food production and consumption
Food supply chains are increasingly associated with environmental and socio-economic impacts. An
increasing global population, an evolution in consumers' needs, and changes in consumption models
pose serious challenges to the overall sustainability of food production and consumption. Life cycle
thinking (LCT) and assessment (LCA) are key elements in identifying more sustainable solutions for
global food challenges. In defining solutions to major global challenges, it is fundamentally important to
avoid burden shifting amongst supply chain stages and amongst typologies of impacts, and LCA should,
therefore, be regarded as a reference method for the assessment of agri-food supply chains. Hence, this
special volume has been prepared to present the role of life cycle thinking and life cycle assessment in: i)
the identification of hotspots of impacts along food supply chains with a focus on major global challenges; ii) food supply chain optimisation (e.g. productivity increase, food loss reduction, etc.) that delivers sustainable solutions; and iii) assessment of future scenarios arising from both technological improvements and behavioural changes, and under different environmental conditions (e.g. climate
change). This special volume consists of a collection of papers from a conference organized within the
last Universal Exposition (EXPO2015) “LCA for Feeding the planet and energy for life” in Milan (Italy) in
2015 as well as other contributions that were submitted in the year after the conference that addressed
the same key challenges presented at the conference. The papers in the special volume address some of
the key challenges for optimizing food-related supply chains by using LCA as a reference method for
environmental impact assessment. Beyond specific methodological improvements to better tailor LCA
studies to food systems, there is a clear need for the LCA community to “think outside the box”, exploring
complementarity with other methods and domains. The concepts and the case studies presented in this
special volume demonstrate how cross-fertilization among difference science domains (such as envi-
ronmental, technological, social and economic ones) may be key elements of a sustainable “today and
tomorrow” for feeding the planet.info:eu-repo/semantics/publishedVersio
Lovastatin, but not orlistat, reduces intestinal polyp volume in an Apc(Min/+) mouse model
The statins, inhibitors of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCoAR) and orlistat, an inhibitor of fatty acid synthase (FAS), inhibit tumor cell growth by restricting cholesterol and fatty acid synthesis, respectively. We previously demonstrated that an omega (ω)-3 polyunsaturated fatty acid (PUFA)- or olive oil-enriched diet reduced the polyp number and volume in ApcMin/+ mice. This phenomenon was associated with a significant inhibition of FAS and HMGCoAR, as well as an increase in the estrogen receptor (ER)β/α ratio. Herein, we evaluated the effect of lovastatin and orlistat on polyp development and ER expression in ApcMin/+ mice, in order to confirm previous data obtained with ω-3-PUFAs and olive oil. As expected, the use of lovastatin and orlistat significantly reduced HMGCoAR and FAS enzymatic activities and gene expression in colonic tissues, but did not affect the number of intestinal polyps, while there was a statistically significant reduction in polyp volume only in the mouse group treated with lovastatin. In the mice receiving orlistat, we observed a significant increase in cell proliferation in the polyp tissue, as well as enhanced expression of ERα. Moreover, the overexpression of ERα was associated with a statistically significant increase in PES1, Shh and Gli1 protein levels, considered ERα-related molecular targets
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