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- Aasi, J., et al.
(författare)
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The characterization of Virgo data and its impact on gravitational-wave searches
- 2012
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Ingår i: Classical and Quantum Gravity. - : IOP Publishing. - 1361-6382 .- 0264-9381. ; 29:15
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Tidskriftsartikel (refereegranskat)abstract
- Between 2007 and 2010 Virgo collected data in coincidence with the LIGO and GEO gravitational-wave (GW) detectors. These data have been searched for GWs emitted by cataclysmic phenomena in the universe, by non-axisymmetric rotating neutron stars or from a stochastic background in the frequency band of the detectors. The sensitivity of GW searches is limited by noise produced by the detector or its environment. It is therefore crucial to characterize the various noise sources in a GW detector. This paper reviews the Virgo detector noise sources, noise propagation, and conversion mechanisms which were identified in the three first Virgo observing runs. In many cases, these investigations allowed us to mitigate noise sources in the detector, or to selectively flag noise events and discard them from the data. We present examples from the joint LIGO-GEO-Virgo GW searches to show how well noise transients and narrow spectral lines have been identified and excluded from the Virgo data. We also discuss how detector characterization can improve the astrophysical reach of GW searches.
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| 2. |
- Settimi, Laura, et al.
(författare)
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Cancer risk among female agricultural workers : a multi-center case-control study
- 1999
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Ingår i: American Journal of Industrial Medicine. - 0271-3586 .- 1097-0274. ; 36:1, s. 135-141
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundCancer risk among women engaged in farming has been poorly investigated. This group of female workers is of particular interest, however, since they may experience exposure to several potential agricultural hazards.MethodsA hospital-based case-control study was conducted in five Italian rural areas to examine the association between cancer and farming among women. The areas selected were located in three different regions (i.e., Piedmont, Tuscany, and Emilia-Romagna). The following cancer sites were selected for the study: stomach, colon, rectum, lung, skin melanoma, skin non-melanoma, breast, cervix and corpus uteri, ovary, bladder, kidney. Cases of non-Hodgkin's lymphoma were also included. Altogether, 1,044 newly diagnosed cases aged 20–75 years were ascertained from hospital records from March 1990 to September 1992, and for 945 of them detailed information was collected by a standard questionnaire. The analyses of data were performed comparing each case series to a reference group drawn from among the other sites. Unconditional logistic regression models were used in the statistical analyses.ResultsStatistically significant increased risks in association with farming were estimated for skin melanoma (OR 2.7, 95% CI 1.2–5.8) and bladder cancer (OR 2.7, 95% CI 1.2–6.1). Lung cancer was also found increased but not at a statistically significant level (OR 1.7, 95% CI 0.7–4.4). An OR lower than unity was observed for postmenopausal breast cancer (OR 0.4, 95% CI 0.3–0.7).ConclusionsThe present study suggests that women in farming might experience increased risk of cancers, not usually found in excess among male farmers, as well as a protective effect for postmenopausal breast cancer. The role of different patterns of exposure or gender specific responses should be considered in further studies.
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| 4. |
- Vakis, A.I., et al.
(författare)
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Modeling and simulation in tribology across scales : An overview
- 2018
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Ingår i: Tribology International. - : Elsevier. - 0301-679X .- 1879-2464. ; 125, s. 169-199
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Tidskriftsartikel (refereegranskat)abstract
- This review summarizes recent advances in the area of tribology based on the outcome of a Lorentz Center workshop surveying various physical, chemical and mechanical phenomena across scales. Among the main themes discussed were those of rough surface representations, the breakdown of continuum theories at the nano- and micro-scales, as well as multiscale and multiphysics aspects for analytical and computational models relevant to applications spanning a variety of sectors, from automotive to biotribology and nanotechnology. Significant effort is still required to account for complementary nonlinear effects of plasticity, adhesion, friction, wear, lubrication and surface chemistry in tribological models. For each topic, we propose some research directions.
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