Rating Mutual Funds Through an Integrated DEA-Based Multicriteria Performance Model: Design and Information Content

2012 ◽  
Author(s):  
Vassilios Babalos ◽  
Michael Doumpos ◽  
Nikolaos Philippas ◽  
C. Zopounidis
Keyword(s):  
Mutual Funds ◽  
Information Content ◽  
Performance Model ◽  
Model Design

scholarly journals Towards the creation of a searchable 3D smart city model

2020 ◽  
Vol 17 (3) ◽  
pp. 285-305
Author(s):  
Nawel Lafioune ◽  
Michèle St-Jacques
Keyword(s):  
High Performance ◽  
New Technologies ◽  
Performance Model ◽  
Model Design ◽  
Time Data ◽  
Content Type ◽  
New Model ◽  
City Model ◽  
City Systems ◽  
City Models

Purpose This paper aims to create a new searchable 3D city model to help managers improve their decision-making. Design/methodology/approach This paper identifies data management basics and the key elements used in the new model design; it further analyzes five-city models, presents its findings and proposes analytical trends for the new model. It discusses the concepts underlying existing models, explains the benefit brought by the proposed model and demonstrates its robustness. Findings City systems can be interconnected, thanks to data digitization and the integration of new technologies into different management processes. Although there are several 3D city models available, none of those identified in this research can be queried for several sectors. Research limitations/implications This model design can only be successfully realized in the presence of a public mandate. Potential limitations include information security risks and political non-acceptance. Originality/value The present work proposes a searchable and high performance model having the distinctive capacity to bring together city systems and perform real-time data analysis in order to extract important information needed to guide the city, and in the context of a global vision.

scholarly journals Alfnoor: assessing the information content of Ariel's low resolution spectra with planetary population studies.

2020 ◽  
Author(s):  
Lorenzo V. Mugnai ◽  
Enzo Pascale ◽  
Quentin Changeat ◽  
Ahmed Al-Refaie ◽  
Giovanna Tinetti
Keyword(s):  
Information Content ◽  
Population Studies ◽  
Reference Sample ◽  
Spectroscopic Observation ◽  
Performance Model ◽  
Atmospheric Composition ◽  
Transmission Spectra ◽  
Low Resolution ◽  
Reconnaissance Survey ◽  
Molecular Abundances

<p>In the next decade the Ariel Space Telescope will provide the first statistical dataset of exoplanet spectra, performing spectroscopic observation of about 1000 exoplanets in the wavelength range 0.5→7.8 μm thanks to its Reconnaissance Survey. About one half of these 1000 targets will be then selected for more accurate observations with higher spectral resolution.</p> <p>We present a novel metric to assess the information content of the Ariel Reconnaissance Survey low resolution transmission spectra. The proposed strategy will not only allow us to select candidate planets to be re-observed in Ariel higher resolution Tiers, but also to classify exoplanets by their atmospheric composition and to put the basis for the statistical analysis of such a large exoplanetary sample.</p> <p>To test our metric we use Alfnoor, a new package combining the TauRex spectral modelling with the ArielRad payload performance model, to produce populations of hundreds of exoplanets matching those presented in the Ariel Mission Reference Sample. For each of the planets in the Ariel candidate targets list we create an atmosphere with a randomised quantity of H<sub>2</sub>O, CH<sub>4</sub>, CO<sub>2</sub>, NH<sub>3</sub> and clouds. </p> <p>Our metric proves able to identify methane,  carbon  dioxide  and  water  rich  atmospheres in the cases of molecular abundances > 10<sup>−4</sup> in mixing ratio,  but it shows its limits in separating water from ammonia. </p> <p>We compare our metric with four different Deep Learning algorithms, they show only ∼10% better performance in identifying the molecular content.</p>

scholarly journals Information Content When Mutual Funds Deviate from Benchmarks

2014 ◽  
Vol 60 (8) ◽  
pp. 2038-2053 ◽  
Author(s):  
Hao Jiang ◽  
Marno Verbeek ◽  
Yu Wang
Keyword(s):  
Mutual Funds ◽  
Information Content

Applications of Scanning Microscopy in Biomedical Research

1968 ◽  
Vol 26 ◽  
pp. 354-355
Author(s):  
T. L. Hayes
Keyword(s):  
Information Content ◽  
Biomedical Research ◽  
Biomedical Applications ◽  
Three Dimensional ◽  
Dental Enamel ◽  
Resolving Power ◽  
Whole Mount ◽  
Two Parameters ◽  
Content Information ◽  
Sectioned Tissue

Biomedical applications of the scanning electron microscope (SEM) have increased in number quite rapidly over the last several years. Studies have been made of cells, whole mount tissue, sectioned tissue, particles, human chromosomes, microorganisms, dental enamel and skeletal material. Many of the advantages of using this instrument for such investigations come from its ability to produce images that are high in information content. Information about the chemical make-up of the specimen, its electrical properties and its three dimensional architecture all may be represented in such images. Since the biological system is distinctive in its chemistry and often spatially scaled to the resolving power of the SEM, these images are particularly useful in biomedical research.In any form of microscopy there are two parameters that together determine the usefulness of the image. One parameter is the size of the volume being studied or resolving power of the instrument and the other is the amount of information about this volume that is displayed in the image. Both parameters are important in describing the performance of a microscope. The light microscope image, for example, is rich in information content (chemical, spatial, living specimen, etc.) but is very limited in resolving power.

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