Volcanic Risk Management: the Case of Mt. Etna 2006 Eruption

Mt. Etna volcano is located in a very populated area of eastern Sicily (Italy). Its permanent degassing activity from summit craters and frequent eruptions impact significantly on town habitations and cultivated areas. In the latest years Etna has produced copious ash emission causing great losses to local economy and causing serious hazards to national and international air traffic over Mediterranean area and the often closure of Catania airport. In July 2006 eruptive vents opened on the East and South flanks of the summit craters showing irregular explosive and effusive activity lasting 6 months. This eruption represented the opportunity to perform the pre-operative test of FP6 Eurorisk-Preview (Prevention, Information and Early Warning) project aimed to develop tools for monitoring volcanoes. The test was performed during two temporal phases: the first one of early-warning was aimed to measure ground deformation and the second one during the crisis to survey volcanic ash produced during the explosions. The ground deformations were measured through the elaboration of SAR data. Beside the geophysical objectives, the test was also important to check data availability and efficiency of European Space Agency procedures. The pre-operative test has been peculiar to understand and quantify the delivering time of the final satellite products expected from the Volcanological Observatory in operative case. The analysis of July 2005 - July 2006 SAR data showed a pre-eruptive inflation trend in agreement with the ground network of GPS data. The magmatic source, that produced the September - October activity, has been located about 2.7 km below the summit craters. During the crisis phase characterized by paroxysmal activity, the Italian Civil Protection (DPC) in charge of airport closure in case of volcanic hazard, requested the satellite volcanic ash product retrieved from the NASA-MODIS data. An agreement between the industry Telespazio as direct broadcast of satellite data at Matera station and INGV was signed in order to elaborate the data in near-real time. The volcanic ash product provided information about: the presence of volcanic ash in the air; the affected area; the volcanic plume dispersal direction, dimensions and altitude and the volcanic ash loading. The satellite products and the observations report have been successively inserted in a web-interface. At the same time the observations report has been linked to the DPC dedicated Web-GIS interface that allows in a short time the availability of volcanic ash information to DPC in support to their decisions.Published77-811.10. TTC - Telerilevamentoope

Genetic aspects underlying the normocalcemic and hypercalcemic phenotypes of primary hyperparathyroidism

purpose: hypercalcemic primary hyperparathyroidism (PHPT) is a common endocrine disorder that has been very well characterized. In contrast, many aspects of normocalcemic primary hyperparathyroidism (NPHPT) such as natural history, organ damage, and management are still matter of debate. In addition, both the pathophysiology and molecular basis of NPHPT are unclear. we investigated whether PHPT and NPHPT patient cohorts share the same pattern of genetic variation in genes known to be involved in calcium and/or bone metabolism. Research design and methods: Genotyping for 9 single nucleotide polymorphisms (SNPs) was performed by Real-Time PCR (TaqMan assays) on 27 NPHPT and 31 PHPT patients evaluated in a tertiary referral center. the data of both groups were compared with 54 in house-controls and 503 subjects from the 1,000 genomes Project. All groups were compared for allele/haplotype frequencies, on a single locus, two loci and multi-locus basis. Results: The NPHPT group differed significantly at SNPs in OPG and ESR1. also, the NPHPT cohort was peculiar for pairwise associations of genotypes and for the overrepresentation of unusual multilocus genotypes. Conclusions: Our NPHPT patient set harboured a definitely larger quota of genetic diversity than the other samples. Specific genotypes may help in defining subgroups of NPHPT patients which deserve ad hoc clinical and follow-up studies

Volcanic Risk Management: the Case of Mt. Etna 2006 Eruption

Mt. Etna volcano is located in a very populated area of eastern Sicily (Italy). Its permanent degassing activity from summit craters and frequent eruptions impact significantly on town habitations and cultivated areas. In the latest years Etna has produced copious ash emission causing great losses to local economy and causing serious hazards to national and international air traffic over Mediterranean area and the often closure of Catania airport. In July 2006 eruptive vents opened on the East and South flanks of the summit craters showing irregular explosive and effusive activity lasting 6 months. This eruption represented the opportunity to perform the pre-operative test of FP6 Eurorisk-Preview (Prevention, Information and Early Warning) project aimed to develop tools for monitoring volcanoes. The test was performed during two temporal phases: the first one of early-warning was aimed to measure ground deformation and the second one during the crisis to survey volcanic ash produced during the explosions. The ground deformations were measured through the elaboration of SAR data. Beside the geophysical objectives, the test was also important to check data availability and efficiency of European Space Agency procedures. The pre-operative test has been peculiar to understand and quantify the delivering time of the final satellite products expected from the Volcanological Observatory in operative case. The analysis of July 2005 - July 2006 SAR data showed a pre-eruptive inflation trend in agreement with the ground network of GPS data. The magmatic source, that produced the September - October activity, has been located about 2.7 km below the summit craters. During the crisis phase characterized by paroxysmal activity, the Italian Civil Protection (DPC) in charge of airport closure in case of volcanic hazard, requested the satellite volcanic ash product retrieved from the NASA-MODIS data. An agreement between the industry Telespazio as direct broadcast of satellite data at Matera station and INGV was signed in order to elaborate the data in near-real time. The volcanic ash product provided information about: the presence of volcanic ash in the air; the affected area; the volcanic plume dispersal direction, dimensions and altitude and the volcanic ash loading. The satellite products and the observations report have been successively inserted in a web-interface. At the same time the observations report has been linked to the DPC dedicated Web-GIS interface that allows in a short time the availability of volcanic ash information to DPC in support to their decisions

A new approach for identifying non-pathogenic mutations. An analysis of the cystic fibrosis transmembrane regulator gene in normal individuals

Given q as the global frequency of the alleles causing a disease, any allele with a frequency higher than q minus the cumulative frequency of the previously known disease-causing mutations (threshold) cannot be the cause of that disease. This principle was applied to the analysis of cystic fibrosis transmembrane conductance regulator (CFTR) mutations in order to decide whether they are the cause of cystic fibrosis. A total of 191 DNA samples fl-om random individuals from Italy, France, and Spain were investigated by DGGE (denaturing gradient gel electrophoresis) analysis of all the coding and proximal non-coding regions of the gene. The mutations detected by DGGE were identified by sequencing. The sample size was sufficient to select essentially all mutations with a frequency of at least 0.01. A total of 46 mutations was detected, 20 of which were missense mutations. Four new mutations were identified: 1341+28 C/T, 2082 C/T, L1096R, and I1131V. Thirteen mutations (125 G/C, 875+40 A/G, TTGAn, IVS8-6 5T, IVS8-6 9T, 1525-61 A/G, M470V, 2693 T/G, 3061-65 C/A, 4002 A/G, 4521 G/A, IVS8 TG10, IVS8 TG12) were classified as non-CF-causing alleles on the basis of their frequency. The remaining mutations have a cumulative frequency far exceeding q; therefore, most of them cannot be CF-causing mutations. This is the first random survey capable of detecting all the polymorphisms of the coding sequence of a gene

Design of a high-performance optical tweezer for nanoparticle trapping

Integrated optical nanotweezers offer a novel paradigm for optical trapping, as their ability to confine light at the nanoscale leads to extremely high gradient forces. To date, nanotweezers have been realized either as photonic crystal or as plasmonic nanocavities. Here, we propose a nanotweezer device based on a hybrid photonic/plasmonic cavity with the goal of achieving a very high quality factor-to-mode volume (Q/V) ratio. The structure includes a 1D photonic crystal dielectric cavity vertically coupled to a bowtie nanoantenna. A very high Q/V ~ 107 (λ/n)−3 with a resonance transmission T = 29 % at λR = 1381.1 nm has been calculated by 3D finite element method, affording strong light–matter interaction and making the hybrid cavity suitable for optical trapping. A maximum optical force F = −4.4 pN, high values of stability S = 30 and optical stiffness k = 90 pN/nm W have been obtained with an input power Pin = 1 mW, for a polystyrene nanoparticle with a diameter of 40 nm. This performance confirms the high efficiency of the optical nanotweezer and its potential for trapping living matter at the nanoscale, such as viruses, proteins and small bacteria

A large-scale study of the random variability of a coding sequence: a study on the CFTR gene

Coding single nucleotide substitutions (cSNSs) have been studied on hundreds of genes using small samples (ngapproximate to100-150 genes). In the present investigation, a large random European population sample (average ngapproximate to1500) was studied for a single gene, the CFTR ( Cystic Fibrosis Transmembrane conductance Regulator). The nonsynonymous (NS) substitutions exhibited, in accordance with previous reports, a mean probability of being polymorphic (q>0.005), much lower than that of the synonymous ( S) substitutions, but they showed a similar rate of subpolymorphic (q<0.005) variability. This indicates that, in autosomal genes that may have harmful recessive alleles (nonduplicated genes with important functions), genetic drift overwhelms selection in the subpolymorphic range of variability, making disadvantageous alleles behave as neutral. These results imply that the majority of the subpolymorphic nonsynonymous alleles of these genes are selectively negative or even pathogenic

Nanophotonic optical gyroscope with reciprocal sensitivity enhancement

Optical gyroscopes measure the rate of rotation by exploiting a relativistic phenomenon known as the Sagnac effect. Such gyroscopes are great candidates for miniaturization onto nanophotonic platforms. However, the signal-to-noise ratio of optical gyroscopes is generally limited by thermal fluctuations, component drift and fabrication mismatch. Due to the comparatively weaker signal strength at the microscale, integrated nanophotonic optical gyroscopes have not been realized so far. Here, we demonstrate an all-integrated nanophotonic optical gyroscope by exploiting the reciprocity of passive optical networks to significantly reduce thermal fluctuations and mismatch. The proof-of-concept device is capable of detecting phase shifts 30 times smaller than state-of-the-art miniature fibre-optic gyroscopes, despite being 500 times smaller in size. Thus, our approach is capable of enhancing the performance of optical gyroscopes by one to two orders of magnitude

Low arsenic bioaccessibility by fixation in nanostructured iron (Hydr)oxides: quantitative identification of As-bearing phases

A new analytical protocol was developed to provide quantitative, single-particle identification of arsenic in heterogeneous nanoscale mineral phases in soil samples, with a view to establishing its potential risk to human health. Microscopic techniques enabled quantitative, single-particle identification of As-bearing phases in twenty soil samples collected in a gold mining district with arsenic concentrations in range of 8 to 6354 mg kg. Arsenic is primarily observed in association with iron (hydr) oxides in fine intergrowth with phyllosilicates. Only small quantities of arsenopyrite and ferric arsenate (likely scorodite) particles, common in the local gold mineralization, were identified (e.g., 7 and 9 out, respectively, of app. 74,000 particles analyzed). Within the high-arsenic subgroup, the arsenic concentrations in the particle size fraction below 250μm ranges from 211 to 4304 mg kg. The bioaccessible arsenic in the same size fraction is within 0.86–22 mg kg (0.3–5.0%). Arsenic is trapped in oriented aggregates of crystalline iron (hydr)oxides nanoparticles, and this mechanism accounts for the low As bioaccessibility. The calculated As exposure from soil ingestion is less than 10% of the arsenic Benchmark Dose Lower Limit - BMDL. Therefore, the health risk associated with the ingestion of this geogenic material is considered to be low

Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering

<p>Abstract</p> <p>Background</p> <p>Mechanistic models are becoming more and more popular in Systems Biology; identification and control of models underlying biochemical pathways of interest in oncology is a primary goal in this field. Unfortunately the scarce availability of data still limits our understanding of the intrinsic characteristics of complex pathologies like cancer: acquiring information for a system understanding of complex reaction networks is time consuming and expensive. Stimulus response experiments (SRE) have been used to gain a deeper insight into the details of biochemical mechanisms underlying cell life and functioning. Optimisation of the input time-profile, however, still remains a major area of research due to the complexity of the problem and its relevance for the task of information retrieval in systems biology-related experiments.</p> <p>Results</p> <p>We have addressed the problem of quantifying the information associated to an experiment using the Fisher Information Matrix and we have proposed an optimal experimental design strategy based on evolutionary algorithm to cope with the problem of information gathering in Systems Biology. On the basis of the theoretical results obtained in the field of control systems theory, we have studied the dynamical properties of the signals to be used in cell stimulation. The results of this study have been used to develop a microfluidic device for the automation of the process of cell stimulation for system identification.</p> <p>Conclusion</p> <p>We have applied the proposed approach to the Epidermal Growth Factor Receptor pathway and we observed that it minimises the amount of parametric uncertainty associated to the identified model. A statistical framework based on Monte-Carlo estimations of the uncertainty ellipsoid confirmed the superiority of optimally designed experiments over canonical inputs. The proposed approach can be easily extended to multiobjective formulations that can also take advantage of identifiability analysis. Moreover, the availability of fully automated microfluidic platforms explicitly developed for the task of biochemical model identification will hopefully reduce the effects of the 'data rich-data poor' paradox in Systems Biology.</p

Haplotype block structure study of the CFTR gene. Most variants are associated with the M470 allele in several European populations

An average of about 1700 CFTR (cystic fibrosis transmembrane conductance regulator) alleles from normal individuals from different European populations were extensively screened for DNA sequence variation. A total of 80 variants were observed: 61 coding SNSs (results already published), 13 noncoding SNSs, three STRs, two short deletions, and one nucleotide insertion. Eight DNA variants were classified as non-CF causing due to their high frequency of occurrence. Through this survey the CFTR has become the most exhaustively studied gene for its coding sequence variability and, though to a lesser extent, for its noncoding sequence variability as well. Interestingly, most variation was associated with the M470 allele, while the V470 allele showed an 'extended haplotype homozygosity' (EHH). These findings make us suggest a role for selection acting either on the M470V itself or through an hitchhiking mechanism involving a second site. The possible ancient origin of the V allele in an 'out of Africa' time frame is discussed