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The Media and the Financial Markets: A Review
Carlo Raimondo 한국증권학회 2019 Asia-Pacific Journal of Financial Studies Vol.48 No.2
In recent years there has been a growing body of literature about the role of the media in finance. Textual analysis techniques and greater availability of data have created the possibility of going deeper into an analysis of soft information, including newspaper articles and other media-generated content. This paper aims to present knowledge about the media’s role in finance, calling on a large variety of research from the fields of finance, accounting, management, and economics. The goal and contribution of this paper are to provide a response to these queries by referencing existing, but often unconnected, literature.
Alessandra Achilli,Giacomo Bernagozzi,Raimondo Betti,Pier Paolo Diotallevi,Luca Landi,Said Quqa,Eleonora M. Tronci 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.2
This paper proposes a novel method suitable for vibration-based damage identification of civil structures and infrastructures under ambient excitation. The damage-sensitive feature employed in the presented algorithm consists of a vector of multivariate autoregressive parameters estimated from the vibration responses collected at different locations of the analyzed structure. Outlier analysis and statistical pattern recognition are exploited for damage detection and localization. In particular, the Mahalanobis distance between a set of reference (i.e., “healthy”) and inspection parameters is evaluated. A threshold is then selected to determine whether the inspection vectors refer to damaged or undamaged conditions. The effectiveness of the proposed approach is proved using numerical simulations and experimental data from a benchmark test. The analysis results show that the largest values of Mahalanobis distance can be found in the proximity of those sensors closest to the damaged elements. Thus, the Mahalanobis distance applied to vectors of multivariate autoregressive parameters has proven to be a robust indicator for damage detection and localization.
Multiscale density estimation with errors in variables
Laurent Cavalier,Marc Raimondo 한국통계학회 2010 Journal of the Korean Statistical Society Vol.39 No.4
We present an adaptive method for density estimation when the observations X = (X1, . . . , Xn) are contaminated by additive errors Y = X + Z. The error distribution is not specified by the model but is estimated using repeated measurements (Yi)i=1,2,3of X. In this setting, we propose a wavelet method for density estimation which adapts both to the degree of ill posedness of the problem (smoothness of the error distribution)and to the regularity of the target density. Our method is implemented in the Fourier domain via a square-root transformation of the empirical characteristic function and yields fast translation invariant non-linear wavelet approximations with data-driven choices of fine tuning parameters. When the variable X is observed without errors our method provides a natural implementation of direct density estimation in the Meyer wavelet basis. We illustrate the adaptiveness properties of our estimator with a range of finite sample examples drawn from population with smooth and less smooth density functions.
Luciana Balsamo,Suparno Mukhopadhyay,Raimondo Betti 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.3
A modal parameter based damage sensitive feature (DSF) is defined to mimic the relativechange in any diagonal element of the stiffness matrix of a model of a structure. The damage assessment isperformed in a statistical pattern recognition framework using empirical complementary cumulativedistribution functions (ECCDFs) of the DSFs extracted from measured operational vibration response data. Methods are discussed to perform probabilistic structural health assessment with respect to the followingquestions: (a) “Is there a change in the current state of the structure compared to the baseline state?”, (b)“Does the change indicate a localized stiffness reduction or increase?”, with the latter representing asituation of retrofitting operations, and (c) “What is the severity of the change in a probabilistic sense?”. Toidentify a range of normal structural variations due to environmental and operational conditions, lower andupper bound ECCDFs are used to define the baseline structural state. Such an approach attempts to decouple“non-damage” related variations from damage induced changes, and account for the unknownenvironmental/operational conditions of the current state. The damage assessment procedure is discussedusing numerical simulations of ambient vibration testing of a bridge deck system, as well as shake tableexperimental data from a 4-story steel frame.
Ida Palazzo,Marialuigia Raimondo,Giovanna Della Porta,Liberata Guadagno,Ernesto Reverchon 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.90 No.-
Supercritical emulsions extraction (SEE-C) technology was used to produce PMMA/diglycidyl ether ofbisphenol A microcapsules acting as a health-monitoring element. A comparison between SEE-C andsolvent evaporation was carried out. Best results were obtained using SEE-C: spherical microcapsuleswith a smooth surface and a mean size of 220 nm, with an encapsulation efficiency up to 79%, wereobtained. SEE-C capsules preserve their stability for the entire time frame analyzed (30 days). Impact tests were carried out on strips of carbonfiber reinforced composites coated with an aqueouspaint in which capsules were previously dispersed: dye leaking associated with capsules breaking wasevidenced.
Pasquale Longobardi,Annaluisa Mariconda,Elisa Calabrese,Marialuigia Raimondo,Carlo Naddeo,Luigi Vertuccio,Salvatore Russo,Generoso Iannuzzo,Liberata Guadagno 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.54 No.-
A stable initiator for ROMP reactions, suitably designed to be embedded in structural resins, has been synthetized. It rapidly polymerizes cyclic olefins in reactive environments. The thermal stability and chemical inertness towards oxirane rings allow its employment in the form of molecular complex in epoxy precursors thus reducing the amount of initiator in structural self-healing materials of 90% wt/wt, simultaneously preserving the catalytic activity at high temperatures (180–200 C) also in presence of the aromatic primary amine (DDS). NMR and FTIR spectroscopy highlighted a relevant initiator stability able to fulfill industrial requirements. Self-healing efficiency has been found to be 103%.
Balsamo, Luciana,Mukhopadhyay, Suparno,Betti, Raimondo Techno-Press 2015 Smart Structures and Systems, An International Jou Vol.15 No.3
A modal parameter based damage sensitive feature (DSF) is defined to mimic the relative change in any diagonal element of the stiffness matrix of a model of a structure. The damage assessment is performed in a statistical pattern recognition framework using empirical complementary cumulative distribution functions (ECCDFs) of the DSFs extracted from measured operational vibration response data. Methods are discussed to perform probabilistic structural health assessment with respect to the following questions: (a) "Is there a change in the current state of the structure compared to the baseline state?", (b) "Does the change indicate a localized stiffness reduction or increase?", with the latter representing a situation of retrofitting operations, and (c) "What is the severity of the change in a probabilistic sense?". To identify a range of normal structural variations due to environmental and operational conditions, lower and upper bound ECCDFs are used to define the baseline structural state. Such an approach attempts to decouple "non-damage" related variations from damage induced changes, and account for the unknown environmental/operational conditions of the current state. The damage assessment procedure is discussed using numerical simulations of ambient vibration testing of a bridge deck system, as well as shake table experimental data from a 4-story steel frame.
Eugenia Fragalà,Giorgio Ivan Russo,Alessandro Di Rosa,Raimondo Giardina,Salvatore Privitera,Vincenzo Favilla,Francesco Patti,Blayne Welk,Sebastiano Cimino,Tommaso Castelli,Giuseppe Morgia 대한배뇨장애요실금학회 2015 International Neurourology Journal Vol.19 No.4
Purpose: To determine the relationship between the neurogenic bladder symptoms score (NBSS) and urodynamic examination in patients affected by multiple sclerosis (MS) and related lower urinary tract dysfunction (LUTD). Methods: We recruited 122 consecutive patients with MS in remission and LUTD from January 2011 to September 2013 who underwent their first urodynamic examination. Neurological impairment was assessed using the Expanded Disability Status Scale (EDSS) and bladder symptoms were studied with the NBSS. Results: Median NBSS was 20.0 (interquartile range, 12.75–31.0). Neurogenic detrusor overactivity (NDO) was discovered in 69 patients (56.6%). The concordance between patients with NDO and maximum detrusor pressure during involuntary detrusor contraction (PdetmaxIDC)≥20.0 cm H2O was 0.89 (κ-Cohen; P<0.05). Patients with EDSS scores of ≥4.5 had a greater NBSS (25.41 vs. 20.19, P<0.05), NBSS-incontinence (8.73 vs. 4.71, P<0.05), NBSS-consequence (4.51 vs. 3.13, P<0.05) and NBSS-quality of life (2.14 vs. 1.65, P<0.05). The NBSS was not associated with PdetmaxIDC≥20 cm H2O (P=0.77) but with maximum cystometric capacity<212 mL (odds ratio, 0.95; P<0.05). Conclusions: The NBSS cannot give adequate information the way urodynamic studies can, in patients with MS and LUTD.