UR 3.13 - MAXIMUM OBSERVABLE SHAKING (MOS) MAPS OF ITALY

The main goal of UR 3.13 is to establish a work flow for a multi-layer map that includes the seismicity of Italy in terms of Maximum Observable Shaking (MOS), and the near-field/far-field boundaries (NF/FF) with respect to the major seismogenic faults mapped within the DISS database. Here we will discuss only the procedure to derive the MOS-map of Italy. Our approach merges updated knowledge on the Italian regional tectonic setting and on the Source Zone (SZ) definition and broadband scenario-like calculation of expected maximum shaking on a given area. For a given SZ, broadband ground shaking is computed for a rupture model derived from a Maximum Credible Earthquake (MCE) and its associated Typical Fault (TF). Amplitude spectra for deterministic Low Frequency and stochastic High Frequency waveforms are reconciled at intermediate frequency, where their domain of validity overlaps, to derive broadband synthetics and compute the associated shaking. As the MCE and TF float along the SZ, broadband ground motion is computed at each point surrounding the given fault and the maximum among observable shaking according to that scenario is plotted on the MOS map. So far the procedure was entirely successfully tested on the Macro Region MR4 (central-northern Apennine), while more detailed analysis is done on the MCE and TF suggested for the Colfiorito earthquake. Here our broadband ground motion scenario shows, besides a complex pattern of variation, a southwestern area of high PGA values, at about 20 km distance from the fault, likely associated to with the properties of the spatio-temporal complexity of the rupture process. For the purpose of the project a complete new map of SZ and MCE is under compilation, grouping seismogenic sources according to Mw and faulting mechanisms. This goal can be achieved most efficiently by targeted numerical simulations that cover the parameter range of interest (in terms of magnitude and distance etc) and consider a large suite earthquake rupture scenarios

Deliverable 1 # A3.13.1-2-3-4-5

We investigate wave motion through numerical simulations that take into account primarily the ground acceleration in response to a given earthquake rupture that radiates seismic waves. The shaking that potential sources might cause is plotted on maps that provide a general overview of the hazard over a large area, and that can be used as the starting point for further detailed investigations. Here, we establish a procedure to compute ground motion that spans the entire frequency range of engineering interest (i.e., broad-band), and we derive the maximum shaking that is caused by expected earthquakes throughout Italy (i.e. the maximum observable shaking; MOS). Our approaches merge updated knowledge of the Italian regional tectonic setting and of source-zone definitions (Valensise and Pantosti, 2001; Basili et al., 2008) and scenario-like calculations of the expected MOS in any given area

Deliverable 2 # A3.13.8

We examine possibilities to delineate the boundaries between near-field and far-field radiation of seismic waves. Near-field (NF), intermediate-field (IF) and far-field (FF) terms represent different properties of the seismic wave-field: the near-source motions are sensitive to the spatio-temporal details of the rupture process, while far-field terms tend to carry the overall signature of the rupture. Due to the longer propagation path of far-field waves through complex Earth structure, their waveform properties also depend more strongly on media properties (scattering; intrinsic attenuation), than it is the case for the NF-wavefield

Structural Congruency of Ligand Binding to the Insulin and Insulin/Type 1 Insulin-like Growth Factor Hybrid Receptors

SummaryThe homodimeric insulin and type 1 insulin-like growth factor receptors (IR and IGF-1R) share a common architecture and each can bind all three ligands within the family: insulin and insulin-like growth factors I and II (IGF-I and IFG-II). The receptor monomers also assemble as heterodimers, the primary ligand-binding sites of which each comprise the first leucine-rich repeat domain (L1) of one receptor type and an α-chain C-terminal segment (αCT) of the second receptor type. We present here crystal structures of IGF-I bound to such a hybrid primary binding site and of a ligand-free version of an IR αCT peptide bound to an IR L1 plus cysteine-rich domain construct (IR310.T). These structures, refined at 3.0-Å resolution, prove congruent to respective existing structures of insulin-complexed IR310.T and the intact apo-IR ectodomain. As such, they provide key missing links in the emerging, but sparse, repertoire of structures defining the receptor family

Thermal-Shock Resistance and Fracture-Strength Behavior of Two Tool Carbides

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66260/1/j.1151-2916.1976.tb09415.x.pd

TAI-SARNET: Deep Transferred Atrous-Inception CNN for Small Samples SAR ATR

Since Synthetic Aperture Radar (SAR) targets are full of coherent speckle noise, the traditional deep learning models are difficult to effectively extract key features of the targets and share high computational complexity. To solve the problem, an effective lightweight Convolutional Neural Network (CNN) model incorporating transfer learning is proposed for better handling SAR targets recognition tasks. In this work, firstly we propose the Atrous-Inception module, which combines both atrous convolution and inception module to obtain rich global receptive fields, while strictly controlling the parameter amount and realizing lightweight network architecture. Secondly, the transfer learning strategy is used to effectively transfer the prior knowledge of the optical, non-optical, hybrid optical and non-optical domains to the SAR target recognition tasks, thereby improving the model\u2019s recognition performance on small sample SAR target datasets. Finally, the model constructed in this paper is verified to be 97.97% on ten types of MSTAR datasets under standard operating conditions, reaching a mainstream target recognition rate. Meanwhile, the method presented in this paper shows strong robustness and generalization performance on a small number of randomly sampled SAR target datasets

Preimplantation Mouse Embryo Selection Guided by Light-Induced Dielectrophoresis

Selection of optimal quality embryos for in vitro fertilization (IVF) transfer is critical to successful live birth outcomes. Currently, embryos are chosen based on subjective assessment of morphologic developmental maturity. A non-invasive means to quantitatively measure an embryo's developmental maturity would reduce the variability introduced by the current standard. We present a method that exploits the scaling electrical properties of pre-transfer embryos to quantitatively discern embryo developmental maturity using light-induced dielectrophoresis (DEP). We show that an embryo's DEP response is highly correlated with its developmental stage. Uniquely, this technique allows one to select, in sequence and under blinded conditions, the most developmentally mature embryos among a mixed cohort of morphologically indistinguishable embryos cultured in optimized and sub-optimal culture media. Following assay, embryos continue to develop normally in vitro. Light-induced dielectrophoresis provides a non-invasive, quantitative, and reproducible means to select embryos for applications including IVF transfer and embryonic stem cell harvest

Is the internet the right medium for a 'don't quit campaign'?

This paper examines the effectiveness of promoting post-16 education and training via Internet. It examines the differences between those who intend to continue the post-16 schooling and those who do not. The implication of the findings challenges the effectiveness of a 'don't quit campaign' which was to offer support and guidance on the choice of post 16 options. This study found that the campaign has done very little for those who decided not to continue post-16 education. Consequently, disadvantaged young people need constant support and resources to eliminate the disparities between different groups

Evidence for chiral superconductivity on a silicon surface

Sn adatoms on a Si(111) substrate with 1/3 monolayer coverage form a two-dimensional triangular adatom lattice with one unpaired electron per site and an antiferromagnetic Mott insulating state. The Sn layers can be modulation hole-doped and metallized using heavily-doped $p$-type Si(111) substrates, and become superconducting at low temperatures. While the pairing symmetry of the superconducting state is currently unknown, the combination of repulsive interactions and frustration inherent to the triangular adatom lattice opens up the possibility for a chiral order parameter. Here, we study the superconducting state of Sn/Si(111) using scanning tunneling microscopy/spectroscopy and quasi-particle interference imaging. We find evidence for a doping-dependent $T_c$ with a fully gapped order parameter, the presence of time-reversal symmetry breaking, and a strong enhancement of the zero-bias conductance near the edges of the superconducting domains. While each individual piece of evidence could have a more mundane interpretation, our combined results suggest the tantalizing possibility that Sn/Si(111) is an unconventional chiral d-wave superconductor

Enhancing Optical Up-Conversion Through Electrodynamic Coupling with Ancillary Chromophores

In lanthanide-based optical materials, control over the relevant operating characteristics–for example transmission wavelength, phase and quantum efficiency–is generally achieved through the modification of parameters such as dopant/host combination, chromophore concentration and lattice structure. An alternative avenue for the control of optical response is through the introduction of secondary, codoped chromophores. Here, such secondary centers act as mediators, commonly bridging the transfer of energy between primary absorbers of externally sourced optical input and other sites of frequency-converted emission. Utilizing theoretical models based on experimentally feasible, three-dimensional crystal lattice structures; a fully quantized theoretical framework provides insights into the locally modified mechanisms that can be implemented within such systems. This leads to a discussion of how such effects might be deployed to either enhance, or potentially diminish, the efficiency of frequency up-conversion