Microplastic accumulation in benthic invertebrates in Terra Nova Bay (Ross Sea, Antarctica)

Microplastic contamination of the benthic invertebrate fauna in Terra Nova Bay (Ross Sea, Antarctica) was determined. Twelve macrobenthic species, characterized by different feeding strategies, were selected at 3 sampling sites at increasing distance from the Italian Scientific Base (Mario Zucchelli, Camp Icarus, Adelie Cove). The 83% of the analyzed macrobenthic species contained microplastics (0.01–3.29 items mg−1). The size of the particles, measured by Feret diameter, ranged from 33 to 1000 µm with the highest relative abundance between 50 and 100 µm. Filter-feeders and grazers displayed values of microplastic contamination from 3 to 5 times higher than omnivores and predators, leading to the hypothesis that there is no evident bioaccumulation through the food web. The prevalent polymers identified by micro-FTIR were nylon (86%) and polyethylene (5%); other polymers identified in Antarctic benthos were polytetrafluoroethylene, polyoxymethylene, phenolic resin, polypropylene, polystyrene resin and XT polymer

Soil carbon investigation in three pedoclimatic and agronomic settings of northern Italy

Sustainable agricultural management is needed to promote carbon (C) sequestration in soil, prevent loss of soil fertility, and reduce the release of greenhouse gases. However, the influence of agronomic practices on soil C sequestration depends on the existing pedoclimatic features. We characterized the soils of three farms far away each other in the Emilia-Romagna region (Northern Italy): an organic farm in the Northern Apennines, a biodynamic farm, and a conventional farm on the Po Plain. The total, inorganic, and organic carbon in soil, as well as the distinct humic fractions were investigated, analyzing both the elemental and isotopic (13C/12C) composition. In soils, organic matter appears to be variously affected by mineralization processes induced by microorganisms that consume organic carbon. In particular, organic carbon declined in farms located in the plain (e.g., organic carbon down to 0.75 wt%; carbon stock0-30 cm down to 33 Mg/ha), because of the warmer climate and moderately alkaline environment that enhance soil microbial activity. On the other hand, at the mountain farm, the minimum soil disturbance, the cold climate, and the neutral conditions favored soil C sequestration (organic carbon up to 4.42 wt%; carbon stock0-30 cm up to 160 Mg/ha) in humified organic compounds with long turnover, which can limit greenhouse gas emissions into the atmosphere. This work shows the need for thorough soil investigations, to propose tailored best-practices that can reconcile productivity and soil sustainability

A CUDA-powered method for the feature extraction and unsupervised analysis of medical images

Funder: Università degli Studi di Milano - BicoccaAbstractImage texture extraction and analysis are fundamental steps in computer vision. In particular, considering the biomedical field, quantitative imaging methods are increasingly gaining importance because they convey scientifically and clinically relevant information for prediction, prognosis, and treatment response assessment. In this context, radiomic approaches are fostering large-scale studies that can have a significant impact in the clinical practice. In this work, we present a novel method, called CHASM (Cuda, HAralick &amp; SoM), which is accelerated on the graphics processing unit (GPU) for quantitative imaging analyses based on Haralick features and on the self-organizing map (SOM). The Haralick features extraction step relies upon the gray-level co-occurrence matrix, which is computationally burdensome on medical images characterized by a high bit depth. The downstream analyses exploit the SOM with the goal of identifying the underlying clusters of pixels in an unsupervised manner. CHASM is conceived to leverage the parallel computation capabilities of modern GPUs. Analyzing ovarian cancer computed tomography images, CHASM achieved up to $$\sim 19.5\times$$ ∼ 19.5 × and $$\sim 37\times$$ ∼ 37 × speed-up factors for the Haralick feature extraction and for the SOM execution, respectively, compared to the corresponding C++ coded sequential versions. Such computational results point out the potential of GPUs in the clinical research.</jats:p

The Nottingham Fatigue After Stroke (NotFAST) study: factors associated with severity of fatigue in stroke patients without depression

Objective: To identify factors associated with post-stroke fatigue in a sample of stroke survivors without depression.Design: Cross-sectional cohort study. Setting: Recruitment was from four stroke units in the UK.Subjects: Participants were assessed within four weeks of first stroke; those with high levels of depressive symptoms (score ≥7 Brief Assessment Schedule Depression Cards) were excluded.Main measures: Participants were assessed four to six weeks after stroke on the Fatigue Severity Subscale of the Fatigue Assessment Inventory, the Rivermead Mobility Index, Nottingham Extended Activities of Daily Living scale, Beck Anxiety Index, Sleep Hygiene Index, 6m walk test, and measures of cognitive ability.Results: Of the 371 participants recruited, 103 were excluded and 268 were assessed. Of the latter, the mean age was 67.7 years (SD 13.5) and 168 (63%) were men. The National Institutes of Health Stroke Scale mean score was 4.96 (SD 4.12). Post-stroke fatigue was reported by 115 (43%) of participants, with 71 (62%) reporting this to be a new symptom since their stroke. Multivariate analysis using the Fatigue Severity Scale as the outcome variable found pre-stroke fatigue, having a spouse/partner, lower Rivermead Mobility Index score, and higher scores on both the Brief Assessment Schedule Depression Cards and Beck Anxiety Index were independently associated with post-stroke fatigue, accounting for approximately 47% of the variance in Fatigue Severity Scale scores. Conclusions: Pre-stroke fatigue, lower mood, and poorer mobility were associated with post-stroke fatigue

The Nottingham Fatigue After Stroke (NotFAST) study: factors associated with severity of fatigue in stroke patients without depression

Objective: To identify factors associated with post-stroke fatigue in a sample of stroke survivors without depression. Design: Cross-sectional cohort study. Setting: Recruitment was from four stroke units in the UK. Subjects: Participants were assessed within four weeks of first stroke; those with high levels of depressive symptoms (score ≥7 Brief Assessment Schedule Depression Cards) were excluded. Main measures: Participants were assessed four to six weeks after stroke on the Fatigue Severity Subscale of the Fatigue Assessment Inventory, the Rivermead Mobility Index, Nottingham Extended Activities of Daily Living scale, Beck Anxiety Index, Sleep Hygiene Index, 6m walk test, and measures of cognitive ability. Results: Of the 371 participants recruited, 103 were excluded and 268 were assessed. Of the latter, the mean age was 67.7 years (SD 13.5) and 168 (63%) were men. The National Institutes of Health Stroke Scale mean score was 4.96 (SD 4.12). Post-stroke fatigue was reported by 115 (43%) of participants, with 71 (62%) reporting this to be a new symptom since their stroke. Multivariate analysis using the Fatigue Severity Scale as the outcome variable found pre-stroke fatigue, having a spouse/partner, lower Rivermead Mobility Index score, and higher scores on both the Brief Assessment Schedule Depression Cards and Beck Anxiety Index were independently associated with post-stroke fatigue, accounting for approximately 47% of the variance in Fatigue Severity Scale scores. Conclusions: Pre-stroke fatigue, lower mood, and poorer mobility were associated with post-stroke fatigue

The present state of research into industrial clusters and districts. Content analysis of material published 1997-2006

[EN] The aim of this work is to help gain a better understanding of the research conducted on territorial agglomerations of firms at a multidisciplinary level. To this end, an analysis was performed of the contents of the most significant scientific literature on economics, management, planning and development, urban studies and geography published over the period 1997-2006. From the results, a database of 142 papers from 43 journals was then elaborated. An analysis of these works reveals the level of development of the main lines of research in this field and, consequently, makes it possible to detect the topics that require greater attention and that can be the object of future research for researchers and academics. The main conclusions include the growing number of studies conducted on the subject in recent years, as well as a greater predominance of empirical research over conceptual work, and the existence of a significant change in the topics or lines of research throughout the period under study. © 2012 Copyright Taylor and Francis Group, LLC.This research was financed by the Spanish Ministry of Education and Science, National R&D & Innovation Plan 2007–2010, under the project entitled “El Distrito Industrial: el impacto del Capital Social sobre la Gestio´n de la Cadena de Suministro” (The Industrial District: the impact of Social Capital on the management of the Supply Chain) (SEJ2007- 62876/ECON).Martinez-Fernandez, M.; Capó Vicedo, J.; Vallet-Bellmunt, T. (2012). The present state of research into industrial clusters and districts. Content analysis of material published 1997-2006. European Planning Studies. 20(2):281-304. doi:10.1080/09654313.2012.650906S28130420

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Characteristics of the Mesophotic Megabenthic Assemblages of the Vercelli Seamount (North Tyrrhenian Sea)

The biodiversity of the megabenthic assemblages of the mesophotic zone of a Tyrrhenian seamount (Vercelli Seamount) is described using Remotely Operated Vehicle (ROV) video imaging from 100 m depth to the top of the mount around 61 m depth. This pinnacle hosts a rich coralligenous community characterized by three different assemblages: (i) the top shows a dense covering of the kelp Laminaria rodriguezii; (ii) the southern side biocoenosis is mainly dominated by the octocorals Paramuricea clavata and Eunicella cavolinii; while (iii) the northern side of the seamount assemblage is colonized by active filter-feeding organisms such as sponges (sometimes covering 100% of the surface) with numerous colonies of the ascidian Diazona violacea, and the polychaete Sabella pavonina. This study highlights, also for a Mediterranean seamount, the potential role of an isolated rocky peak penetrating the euphotic zone, to work as an aggregating structure, hosting abundant benthic communities dominated by suspension feeders, whose distribution may vary in accordance to the geomorphology of the area and the different local hydrodynamic conditions