1,720,959 research outputs found
LA VULNERABILITÀ ALL’ABUSO IN SENESCENZA: CARATTERISTICHE INDIVIDUALI E INTERVENTI DI TUTELA
No full textElderly people may show a condition of vulnerability to abuse specifically associated to aging. Elder abuse
occur through some main forms: physical, psychological, financial and sexual; the analysis of personal
dynamics associated to aging may help identify potential protective factors and understand risk factors for
elder abuse. In particular, individual coping processes, adjustment ability to changes related to aging and
community support strategies may work as protective factors as well as elements for effective treatment.
Elder abuse is a complex phenomenon that should be dealt taking into account a multiplicity of aims that
allow to maintain a balance between the right of self-determination and the need to interrupt the abuse.
Empirical data have led to identify specific types of intervention to protect elderly people and specific
protective factors to be made available for different typologies of abus
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Well-Differentiated Neuroendocrine Tumor of the Gallbladder with Paraganglioma-Like Features: a Potential Mimicker of Gallbladder Paraganglioma
No full textAppropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Invasive lobular carcinoma metastasis to pancreas mimicking pancreatic signet ring cell carcinoma: a case report and systematic review of the literature
No full textMetastasis to the gastrointestinal tract is a rare instance in the natural history of breast cancer, usually in association with lobular histology and widespread dissemination of disease. We report the case of a 74-year-old woman with a history of invasive lobular carcinoma presenting with a pancreatic metastasis mimicking a primary pancreatic adenocarcinoma; we also present a systematic review of the relevant literature. The presentation of pancreatic metastasis in the setting of breast cancer is unspecific, and histology is of paramount importance for a correct diagnosis; surgical metastasectomy could be of some benefit in the correct clinical setting
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Copula models for financial time series
Full text linkThe present thesis has two objectives:
a. to provide a clustering methodology with a consequent study of the con tagion that allows an efficient diversification of the risk;
b. to build a model for the estimation of market risk that adapts to finan cial data and their peculiarities more efficiently than the usual models built
through the use of Normal distribution. A sample of the nine most capitalized
stock indices has been studied, such as: Dow Jones, S&P500, Nasdaq 100,
FTSE 100, Nikkei 225, SSE Composite, SZSE Component, Euronext 100,
HANG SENG. The chosen time horizon is about ten years, more precisely
from January 2, 2012 to October 11, 2022. The work is divided into three
chapters, of which the first chapter sets out the theoretical foundations on
which the analysis under discussion is based, analytically presenting the em pirical properties of financial data, such as: the presence of non-independent
and identically distributed yield series; the significant correlation of returns
squared; the near zero value of the above conditional expected values; the
characteristic leptocurtic tails and the presence of clusters for the extreme
values. The importance of an accurate estimate of rare events is underlined
and the extreme values theory is dealt with, focusing on the distribution of
generalized extreme values (GEV), on the maximum domain of attraction,
on the ”Block Maxima” method and over threshold exceedances. We proceed
by providing the definition and explaining the mathematical properties of the
copula function; we describe, moreover, various types of copulas including the
skew t copula, the Vine copula and the elliptic copulas, to this last category
belong the Gaussian copula and the Student t copula. In addition, the cali bration methods of the parameters of the function under consideration, such
as the Maximum Likelihood Method (ML), the Margin Inference Functions
Method (IFM) and the Method of Maximum Canonical Likelihood (CML). A
quick description of the sample being analysed is also provided. The second chapter presents an analysis of the behavior of time series in risky scenarios
in order to enable the implementation of performing portfolio diversification
strategies. Through a methodology that is articulated in four different phases:
to find the model that is well adapted to the data in analysis, to measure the
dependence of tail, to create the matrix of dissimilarity, to construct of the
clusters that allow the study of the phenomenon of the contagion in extreme
events. Three different thresholds were chosen to study the correlation of the
nine indices in risky scenarios and in stable market conditions. The third
and final chapter explains accurately all the operations carried out that have
finally led to the construction of the desired model, starting from the daily
closing prices of the nine indices constituting the portfolio. The combined use
of extreme value theory and copulas: t , skew t and Vine leads to a market
risk modelling approach that stands out from traditional risk management
models. They assume conditional normality for logarithmic returns on finan cial assets or risk factors despite empirical evidence that yield distributions
are characterized by leptocurtic tails. The main objective of this study was to
obtain a model consistent with this empirical evidence. Finally, the obtained
portfolio index returns are simulated and the Value at Risk is calculated with
relative back-testing to test the goodness of the presented model
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