How Wood Fuels\u2019 Quality Relates to the Standards: A Class-Modelling Approach

The quality requirements of wood biofuels are regulated by a series of harmonized international standards. These standards define the technical parameter limits that influence the quality of solid biomass as a fuel. In 2014 the European reference standard for solid biofuel was replaced by the International ISO standard. In the case of wood chips, the main difference between the European and International standards is the definition of particle size distribution classes. In this context, this study analyses the quality of wood chips and its variation over the years according to the \u201cformer\u201d (EN 14691-4) and \u201cin force\u201d (ISO 17225-4) standards. A Soft Independent Modelling of Class Analogy (SIMCA) model was built to predict the best quality of wood chips and to clarify the relationship between quality and standard parameters, time and changes in the standard regulations. The results show that, compared to the EN standards, classification with the ISO standards increases the samples belonging to the best quality classes and decreases the not classified samples. Furthermore, all the SIMCA models have a high sensitivity (>90%), reflect the differences introduced to the quality standards and are therefore suitable for monitoring the quality of wood chips and their changes

Systematic uncertainties of the top background in the H->WW channel

The ttbar process is one of the main backgrounds for the H->WW->lnulnu signal search. The simulation of this background as well as an estimation of its contribution to the total systematic error for this Higgs search will be studied in detail. For this, the predictions of the PYTHIA, HERWIG, TopREX and MC@NLO Monte Carlos are compared in order to estimate the effect of different showering programs and of the spin correlations. Furthermore, the question of how to include NLO corrections will be addressed and the simulation of single top background at NLO discussed. In order to extrapolate the ttbar background to the Higgs signal region, once data is available, different normalization methods will be proposed and compared. The experimental uncertainties coming from different normalization processes will be estimated using a full CMS simulation

Grinding Test on Tremolite with Fibrous and Prismatic Habit

The main objective of this work is the evaluation of the morphology change in tremolite particles before and after a grinding process. The crushing action simulates anthropic alteration of the rock, such as excavation in rocks containing tremolite during a tunneling operation. The crystallization habit of these amphibolic minerals can exert hazardous eects on humans. The investigated amphibolic minerals are four tremolite samples, from the Piedmont and Aosta Valley regions, with dierent crystallization habits. The habits can be described as asbestiform (fibrous) for longer and thinner fibers and non-asbestiform (prismatic) for prismatic fragments, also known as “cleavage” fragments. In order to identify the morphological variation before and after the grinding, both a phase contrast optical microscope (PCOM) and a scanning electron microscope (SEM) were used. The identification procedure for fibrous and prismatic elements is related to a dimensional parameter (length–diameter ratio) defined by the Health and Safety Executive. The results highlight how mineral comminution leads to a rise of prismatic fragments and, therefore, to a potentially safer situation for worker and inhabitants

Vinyl-Asbestos Floor Risk Exposure in Three Different Simulations

Vinyl floors are widely used in public areas for their low cost and easy cleaning. From 1960 to 1980, asbestos was often added to improve vinyl floor performances. The Italian Ministerial Decree (M.D.) 06/09/94 indicates asbestos vinyl tiles as non-friable materials and, therefore, few dangerous to human health. This work aims to check through three different experimental tests if asbestos floor tiles, after decades of use, maintain their characteristics of compactness and non-friability. The effect of a small stone fragment stuck in the sole of rubber shoes was reproduced by striking the vinyl floor with a crampon. A vinyl tile was broken into smaller pieces with the aid of pliers to simulate what normally happens when workers replace the floors or sample it to verify the presence of asbestos. The third test reproduced the abrasion of the tile surface due to the dragging of furniture or heavy materials or sand grains that remain attached to the soles of shoes. The tests were carried out in safe conditions, working under an extractor hood with a glove box. Airborne sampling in the hood obtained the concentration of asbestos fibers produced in each test. The simulation tests performed confirms the possible release of fibers if the vinyl tiles are cut, abraded or perforated, as indicated by the Italian M.D

Identification of dangerous fibers: some examples in Northern Italy

The presence of asbestiform minerals has to be foreseen in the planning of infrastructural activities: Asbestos can be a component of sedimentary rocks or of mafic and ultra mafic metamorphic rocks. Surveys and core drilling, in addition to providing important information on the quality of the rock and its geotechnical characteristics, allow for a prediction of the presence of asbestiform minerals in the areas affected by mining or infrastructural activities. During the excavation, workers can be exposed to the asbestos risk, therefore, the control of the air quality and of the excavated materials are fundamental for the safety of involved people. In this work some problems we met in the analysis of airborne filters and bulk samples from sites in northern Italy are presented. The asbestos fibers present in rocks as accessory minerals, are often different in habit and dimension from the well-known asbestos fibers used as industrial minerals and moreover can be erroneously identified as minerals morphologically and chemically similar present in the same rock or environment. In the case of tunnel muck it could be contaminated by substances used for the excavation that could modify colours and optical properties of asbestos minerals. In the PCOM (Phase Contrast Optical Microscope) analysis chrysotile, sepiolite and antigorite, due to their different refraction index, when the fibers have dimension > 0,5 micron and aren’t contaminated by lubricant can be easely identified even if the morphology of chrysotile is very similar to that of sepiolite. In Electron Scanning Microscope (SEM) the discrimination between chrysotile and antigorite on the airborne filters is not always possible because the fibers of thin dimensions show similar habit and spectrum. In the case of the tremolite amphibole, morphology changes from prismatic to fibrous depending on its origin (p.eg. Monastero, Val Grana, Verrayes, Brachiello). Both prismatic and asbestiform tremolite (Gamble and Gibbs, 2007; Addison and McConnel, 2007) may show inhalable elements with width less than 3 micron, length more than 5 micron and width length ratio 1:3, whose dangerousness (fiber coming from fibrous tremolite or the cleavage fragments coming from prismatic tremolite) could be different and it is object of epidemiologic studies

The Atopy Index Inventory: A Brief and Simple Tool to Identify Atopic Patients

Introduction: Atopy and ear, nose and throat (ENT) diseases are frequently associated; however, no clinical tool has been proposed so far to discriminate which patients could be atopic and therefore deserving of a further immunoallergological evaluation. Objective: The aim of this study was to assess and validate a set of dichotomous responses suitable for predicting the presence of atopy in adult patients. Methods: An 11-item questionnaire, i.e., the Atopy Index Inventory (AII), comprised of 4 questions regarding the clinical history for allergic disease and 7 questions evaluating the presence of the most frequent clinical signs affecting allergic patients, was developed and administered to 226 adult subjects (124 atopic subjects and 102 healthy, not atopic subjects). The atopic condition was proven by an immunoallergological evaluation according to the diagnostic criteria of the EAACI guidelines. Internal consistency and clinical validity were tested. Results: In healthy subjects, the first 4 variables of the AII returned a 100% correct response (all answered \u201cno\u201d) and were defined as \u201cdecisive\u201d responses. In the logistic regression analysis, when decisive items were negative, the atopic condition was confirmed when answering \u201cyes\u201d to at least 3 \u201cprobability\u201d items (cutoff = 2.69). The difference in AII scores between allergic and healthy group was significant using the Mann-Whitney U test (p < 0.0001). The sensitivity and specificity of the AII were 0.97 and 0.91, respectively, with a true predictive value of 0.92 and a false predictive value of 0.97. The ROC curve showed an area of 0.94, with an OR of 0.88 (95% CI 0.87\u20130.97, p = 0.0001). The internal consistency as determined by the Cronbach \u3b1 coefficient was 0.88. Conclusion: The AII has been proven to be a brief, simple and sufficiently accurate tool for screening ENT patients in search of atopic individuals and to allow their clinical management