87,627 research outputs found
REGRESSION OF NEUROPHYSIOLOGICAL ABNORMALITIES IN EXPERIMENTAL DIABETES AFTER ISLET TRANSPLANTATION
No full textRegression of neurophysiological abnormalities in experimental diabetes after islet transplantation
Autori
F Purrello, V Caltabiano, M Vetri, C DEGANO, E VALLE, G POZZESSERE, S MORANO, G PUGLIESE, M SENSI, U DIMARIO
Data pubblicazione
1994/8/1
Conferenza
Diabetologia
Volume
37
Pagine
A217-A21
The definition of fair divisional projects in bankruptcy and inheritance disputes
No full textIn this research a model to support the definition of efficient and fair divisional projects in considerably complex bankruptcy procedures and inheritance disputes has been developed. The model is based on the principle that is generally pursued in defining shares to be assigned for inheritance divisions, according to which the assignment of the deceased’s assets must minimize the monetary compensations that result from the difference between the heirs’ legal right shares and the portions to be assigned to them. The application of the model proposed shows its validity, implemented by a user-friendly software
Concession and lease or sale? A model for the enhancement of public properties in disuse or underutilized
No full textAlthough in many European countries the enhancement of public properties constitutes a theme of primary importance in the current economic situation, almost never Public Administrations have appropriate skills to rationally evaluate the best modality of valorization. This paper develops and test an evaluation model to support decisions of Public Administrations involved in the identification of the best modality of enhancement (concession and lease or sale) of public properties in disuse and/or underutilized. The model can be applied to any type of public property, but this research is focused on religious cultural buildings in disuse, common in Italy both in big cities and in smaller towns. The assumption underlying the model is that, since the properties considered are complex buildings, generally characterized by large dimensions, the form of bilateral monopoly market is always verified. The application of the model to three concrete cases, concerning religious buildings in disuse located in different areas of Southern Italy, shows that the model is a tool of simple use, exportable in any territorial context. The paper must be attributed in equal parts to the author
Decision support methods for public-private partnerships: an application to the territorial context of the Apulia Region (Italy)
No full textIn this research a methodology to support decisions of Public Administrations in the definition of planning parameters of urban regeneration initiatives to be implemented with the involvement of private investors is applied. The decision support method proposed borrows the logic of the Break-Even Analysis. The model is applied to an urban area located in a city of the Apulia Region (Italy), which has been promoting urban redevelopment policies, investing significant public funding. The results highlight the simplicity and flexibility of the model, the phases of which are easily implementable in any territorial context
An evaluation model of the financial feasibility of social housing in urban redevelopment
No full textPurpose – The purpose of this paper is to develop an evaluation model to support the decisions made
by Public Administrations that influence urban regeneration and social housing to be implemented
with the involvement of private investors.
Design/methodology/approach – Carried out with reference to an Italian regional territory, the
model, subject to the constraint of financial feasibility for the private investor and the conditions
of the local real estate market, allows to define: the maximum amount of social housing, as a percentage
of the housing planned, to be sustained by the private investors; the administered price of sale and/or
lease of the social housing; the exchange-factor of the area to be redeveloped.
Findings – The outcome of the research highlights the utility of the model as a tool to support the
decisions made by Public Administrations in relation to urban planning.
Practical implications – The model, in addition to being simple to use, is extremely flexible and can
be applied without any major changes in the structure and the type of information required in different
spatial contexts.
Social implications – The work intends to contribute to the achievement of the European objectives
of Horizon 2020 that, with the initiative named “Smart Cities and Communities”, deals with urban
themes and social issues, ensuring a strong economic impact of funded activities.
Originality/value – The proposedmethodology allows to monitor the land use transformations and, since
it is also applicable to historical and architectural buildings, it is an innovative system for the sustainable
protection and promotion of cultural heritage as a driver of social cohesion as well as the creation of jobs
A model to support decision for the valorization of public properties in disuse or underutilized
No full textWith reference to the process of valorization of public properties in progress in many European
countries, this paper develops an evaluation model to support decisions of Public Administrations involved in
the identification of the best modality of enhancement (concession and lease or sale) of public properties in
disuse and/or underutilized. Although the model can be applied to any type of public property, the research is
focused on religious cultural buildings, that are common both in big cities and in smaller towns. The
assumption underlying the model is that, since the properties considered are complex buildings, generally
characterized by large dimensions, the form of bilateral monopoly market is always verified. The result is a
model of simple use, exportable in any territorial context. The paper must be attributed in equal parts to the
author
Estimative analysis of a segment of the bare ownership market of residential property
No full textEstimative analysis of the property market aims to identify the
parameters, economic variables and mechanisms at the basis of negotiations
that take place in the market. The aims are explanatory and predictive. In this
work, a multiple regression analysis is carried out to evaluate a segment of the
bare ownership market of residential properties in a district of an Italian city. In
particular, using regression, the explanatory variables in the price of the bare
ownership are selected among those initially identified with the empirical
observation of this phenomenon, the hedonic prices and weights of the
explanatory variables are estimated, the estimation function of the bare
ownership price is specified as well as the average depreciation rate determined
by the usufruct. The discrepancy between the depreciation rates estimated with
the regression and those set out by the law for tax purposes, but applied when
estimating the bare ownership value, leads to distrusting the practical use of the
latter in matters other than tax purposes
Evaluation of the economic sustainability of the projects in social housing
No full textWith reference to operations of urban regeneration to be realized
with the involvement of private investors, in this work a model of Operative
Research is developed that allows to define, subject to the constraint of financial
feasibility for the private operator, the maximum share of social housing to
be borne by the private sector, the administered price of sale and/or lease of
social housing and the exchange factor of the area to redevelop. The model is
applied to a project of urban regeneration and social housing recently realized
in an Italian Region. The research highlights the utility of the model as a tool
for decision support in the planning of social housing
Least median of squares regression and minimum volume ellipsoid estimator for outliers detection in housing appraisal
No full textIn the real estate sector the regression analysis is the most used method for interpretative and predictive purposes. However, the presence of outliers in the estimative sample can lead to ordinary last squared regression models that do not represent the investigated market phenomenon, with the consequence of producing unreliable assessments. In the present research the issue of the identification and the removal of outliers is discussed. The outliers identified by the least median of squares regression (LMS) and the minimum volume ellipsoid estimator (MVE) are compared in order to test the coincidence or the diversity. A complete diagnosis of the data of the initial estimative sample is carried out, combining the robust residuals obtained with LMS and the robust distances obtained with MVE. The data are classified into regular observations, vertical outliers, good leverage points and bad leverage points, and cases to delete and those to keep in the sample are identified
Bare ownership evaluation. Hedonic price model vs. Artificial neural network
No full textIn the current downturn of European real estate market, the sale of the bare ownership is creating a growing interest of market operators. The
attention to this formula is not only local, but also comes from foreign investors, attracted by the substantial saving on the purchase price, the
revaluation of the property over time, as well as the breakdown of the tax burden and the costs of management and maintenance. The aim of this research
is, first of all, to deepen the knowledge of the bare ownership market of residential properties. Secondly, it is to develop an effective tool for estimating
the bare ownership. Therefore, on the same database and with reference to the same explanatory variables of the price of bare ownership, two estimation
models are implemented, one based on hedonic prices theory and another using artificial neural networks (ANN), in order to compare the respective
performance.In the current downturn of European real estate market, the sale of the bare ownership is creating a growing interest of market operators. The attention to this formula is not only local, but also comes from foreign investors, attracted by the substantial saving on the purchase price, the revaluation of the property over time, as well as the breakdown of the tax burden and the costs of management and maintenance. The aim of this research is, first of all, to deepen the knowledge of the bare ownership market of residential properties. Secondly, it is to develop an effective tool for estimating the bare ownership. Therefore, on the same database and with reference to the same explanatory variables of the price of bare ownership, two estimation models are implemented, one based on hedonic prices theory and another using artificial neural networks (ANN), in order to compare the respective performance
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