Insider Trading, Traded Volume and Returns

Several models predict that both market liquidity and trading volume generated by less informed traders do not increase when there is insider trading. Available empirical evidence is mixed and still relatively small, because of the inherent di¢ culty to identify insider trading events. Our econometric work, based on 19 suspect insider trading events drawn from the non-public ?file of the Italian supervisory authority, provides further insight on these key implications of stock market models. The second purpose of this paper is to assess whether insider trading changes the distribution of volume and returns in a way that can be used by supervisory authorities in order to detect its presence through statistical methods.asymmetric information, insider trading, abnormal returns, traded volume

A nonparametric approach for model individualization in an artificial pancreas

The identification of patient-tailored linear time invariant glucose-insulin models is investigated for type 1 diabetic patients, that are characterized by a substantial inter-subject variability. The individualized linear models are identified by considering a novel kernel-based nonparametric approach and are compared with a linear time invariant average model in terms of prediction performance by means of the coefficient of determination, fit, positive and negative max errors, and root mean squared error. Model identification and validation are based on in-silico data collected from the adult virtual population of the UVA/Padova simulator. The data generation involves a protocol designed to produce a sufficient input excitation without compromising patient safety, compatible also with real life scenarios. The identified models are exploited to synthesize an individualized Model Predictive Controller (MPC) for each patient, which is used in an Artificial Pancreas to maintain the blood glucose concentration within an euglycemic range. The MPC used in several clinical studies, synthesized on the basis of a non-individualized average linear time invariant model, is also considered as reference. The closed-loop control performance is evaluated in an in-silico study on the adult virtual population of the UVA/Padova simulator in a perturbed scenario, in which the MPC is blind to random variations of insulin sensitivity in each virtual patient. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved

Recomendação sobre o uso do ultra-som na medida da espessura de toucinho em suínos vivos.

bitstream/CNPDIA/5062/1/CT02_96.pd

Organic Trace Minerals in Environmentally Sustainable Systems

Essential trace minerals (Zn, Cu, Fe, Mn, Se and I) are traditionally included as supplements through mineral premixes in poultry feeds. In comparison to other essential nutrients, as well as energy, they are scarcely studied. The essentiality of a nutrient, by definition, refers to the nutrient role in normal body function, such as growth or egg production, and considers that they cannot be synthesized by the body and, therefore, must be supplied from the feed

Organic Trace Minerals in Environmentally Sustainable Systems

Essential trace minerals (Zn, Cu, Fe, Mn, Se and I) are traditionally included as supplements through mineral premixes in poultry feeds. In comparison to other essential nutrients, as well as energy, they are scarcely studied. The essentiality of a nutrient, by definition, refers to the nutrient role in normal body function, such as growth or egg production, and considers that they cannot be synthesized by the body and, therefore, must be supplied from the feed

Giant optical anisotropy in a single InAs quantum dot in a very dilute quantum-dot ensemble

We present the experimental evidence of giant optical anisotropy in single InAs quantum dots. Polarization-resolved photoluminescence spectroscopy reveals a linear polarization ratio with huge fluctuations, from one quantum dot to another, in sign and in magnitude with absolute values up to 82%. Systematic measurements on hundreds of quantum dots coming from two different laboratories demonstrate that the giant optical anisotropy is an intrinsic feature of dilute quantum-dot arrays.Comment: submitted to Applied Physics Letter

Developing biodiversity assessment on a stand forest type management level in north-eastern Italy

This paper discusses a simple operative proposal, elaborated by a team of advisers to the Forestry Service of the Veneto administrative region (north-eastern Italy), concerning the definition of stand-level forest type biodiversity indicators and biodiversity oriented management provisions. Such tools are conceived to transfer biodiversity conservation understanding in current forest stand management practices. The developed assessment system is targeted to: maintenance and increase of the variability of forest landscape mosaic; conservation of species variability; creation of resource reservoirs. The following criteria and indicators are taken into consideration: spatial pattern (widespreadness, connectedness, species contagion potential), forest structure (uneven aged stands: percent of trees in three broad diameter classes; even aged stands: number of development stages and surface of each development stage), herbs/shrubs species (average, minimum and maximum number of species; average number of short-lived herb/ shrub species recorded in minimal anthropic disturbance conditions; dynamic trend in the number of herb/shrub species), bird species (average, minimum and maximum number of species); overall naturalistic quality (flora; vegetation; fauna). Such indicators are proposed as biodiversity reference standards for each forest type in the considered region: they provide practical baseline information with which forest stand management efficiency in achieving biodiversity targets can be compared