Search results for "Liability"
showing 10 items of 1754 documents
APPROPRIATENESS OF CESAREAN SECTION IN A HOSPITAL OF SICILY (ITALY): STATISTIC EVIDENCES AND MEDIC LEGAL CONSIDERATIONS
2014
ntroduction: Authors have carried out a survey to evaluate the appropriateness of the caesarean deliveries performed in a hospital of Sicily (Italy) during 2013. The choices of these surgeries have been compared with italian and sicilian guidelines. Materials: EpiInfo 7.1.4 software (CDC - Atlanta - USA) was used to perform the statistical data analysis (chi-square test). Results: We analyzed a total of 818 medical records related to 50.61% of spontaneous deliveries, :06% induced labor, and 46.33% of cesarean deliveries. Medical records showed that in 32.7% the caesarean section were justified by emergency conditions, whereas in 15.89% the choice was not quite justified according to guideli…
"Corporate governance": approcci manageriali ed etici a confronto
2009
La crisi di fiducia che colpì il sistema delle imprese statunitense nei primi anni '70 ha promosso l'elaborazione di due distinte concezioni della corporate governance. La prima ha come referente privilegiato azionisti ed investitori ed elegge il mercato (azionario) come lo strumento principale per il governo dell'impresa. L'obiettivo di tale concezione è quello di riportare il management aziendale sotto il controllo degli azionisti. La seconda cerca invece di identificare una prospettiva che tiene nella dovuta considerazione preferenze, bisogni e diritti di tutti gli stakeholders coinvolti nel processo produttivo. Riprendendo la distinzione proposta da Hirschman, possiamo dire che mentre l…
Bank Reliability Assessment Model: Case of Latvia
2020
Reliable and stable banks are an important precondition for the sustainable development of national economy. The objective of the chapter is to design a model allowing assessment of bank reliability in the context of bank financial strength. The model is designed using publicly available financial statement data of Latvian commercial banks, in the period of 2003–2016, macroeconomic data as well as aggregate statistical data of Latvian banking sector. The model allows calculation of ratings reflecting reliability level of banks. The model is designed based on the multiple choice model ordered logit. The chapter identifies the most important factors reflecting reliability level of banks, incl…
The Uncertain Role of Banks’ Corporate Governance in Systemic Risk Regulation
2011
This paper examines how corporate governance reform of banks relates to systemic risk. Although there has been substantial emphasis on the importance of corporate governance of banks, it is not entirely clear how this enterprise relates to the goal of financial stability. The first part of the paper differentiates between kinds of risk that arise from the structure of the firm, such as shareholder ownership, limited liability and the separation between control and ownership, and kinds of risk that arise from interactions at the systemic level. It highlights why the risk-taking of banks presents, in many respects, a special case not only because of the structure of their business but also becau…
Preliminary evaluation of a short version questionnaire for Executive Functioning Self-Report (EF-SR)
2020
The aim of the present study is the development and the evaluation of preliminary psychometric characteristics of a short form self-report questionnaire to assess executive functioning (EF). The research was conducted in a sample of 316 Italian children that attended primary or secondary schools, with an age range between 7 and 11. EFA showed that Executive Functioning Self-Report (EF-SR) is composed of eleven items that are adequately represented by a single factor that characterizes the total score of the EFs. Furthermore, preliminary analyses showed an adequate level of skewness and kurtosis, of internal reliabilities, and test-retest reliability. Finally, the EF-SR showed positive moder…
Performance Analysis of Cooperative V2V and V2I Communications Under Correlated Fading
2019
Cooperative vehicular networks will play a vital role in the coming years to implement various intelligent transportation-related applications. Both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications will be needed to reliably disseminate information in a vehicular network. In this regard, a roadside unit (RSU) equipped with multiple antennas can improve the network capacity. While the traditional approaches assume antennas to experience independent fading, we consider a more practical uplink scenario where antennas at the RSU experience correlated fading. In particular, we evaluate the packet error probability for two renowned antenna correlation models, i.e., cons…
Network-Assisted Resource Allocation with Quality and Conflict Constraints for V2V Communications
2018
The 3rd Generation Partnership Project (3GPP) has recently established in Rel. 14 a network-assisted resource allocation scheme for vehicular broadcast communications. Such novel paradigm is known as vehicle--to--vehicle (V2V) \textit{mode-3} and consists in eNodeBs engaging only in the distribution of sidelink subchannels among vehicles in coverage. Thereupon, without further intervention of the former, vehicles will broadcast their respective signals directly to their counterparts. Because the allotment of subchannels takes place intermittently to reduce signaling, it must primarily be conflict-free in order not to jeopardize the reception of signals. We have identified four pivotal types…
Online Fault Diagnosis System for Electric Powertrains Using Advanced Signal Processing and Machine Learning
2018
Online condition monitoring and fault diagnosis systems are necessary to prevent unexpected downtimes in critical electric powertrains. The machine learning algorithms provide a better way to diagnose faults in complex cases, such as mixed faults and/or in variable speed conditions. Most of studies focus on training phases of the machine learning algorithms, but the development of the trained machine learning algorithms for an online diagnosis system is not detailed. In this study, a complete procedure of training and implementation of an online fault diagnosis system is presented and discussed. Aspects of the development of an online fault diagnosis based on machine learning algorithms are…
Simplified analytical models for compressed concrete columns confined by FRP and FRCM system
2017
In order to consider the response of concrete columns confined by FRP and FRCM system, proper models have to be formulated. In this context the present paper shows a generalized criterion for the determination of the increase in strength, in ductility and in dissipated energy for varying corner radius ratio of the cross section and fiber volumetric ratio. The procedure is based on the best fitting of several experimental data and unlike the usual empirical approaches available in the literature, the proposed technique relates the confinement effectiveness to a single parameter representative of the relative stiffness between the original concrete core and the reinforcement system. Furthermo…
Monitoring wireless sensor networks through logical deductive processes
2006
This paper proposes a distributed multi-agent architecture for wireless sensor networks management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by tunable agents installed on the network nodes and is collected by a logical entity for network managing where it is merged with general domain knowledge, with the aim of identifying the root causes of faults, and deciding on reparative actions. The logical inference system has being devised to carry out automated isolation, diagnosis, and, whenever possible, repair of network anoma…