Search results for "KF"
showing 10 items of 448 documents
COMPUTER AIDED RESTORATION TOOLS TO ASSIST THE CONSERVATION OF AN ANCIENT SCULPTURE. THE COLOSSAL STATUE OF ZEUS ENTHRONED
2017
Abstract. The research focuses on the contribution of the integrated application of Computer Aided Restoration digital procedures as a means to guide the integration measure of an artifact, innovating and implementing the traditional investigation methods. The aim of the study was to provide effective geometrical-formal investigation tools in the frame of the conservation work of Zeus enthroned from Soluntum, conserved in the Archaeological Museum “A. Salinas” of Palermo. The paper describes the workflow of the 3D acquisition and graphical modeling with non-invasive digitalization and high information density techniques to assist the conservation of the legs of the throne, especially the in…
Sharing on web 3D models of ancient theatres. A methodological workflow
2016
Abstract. In the last few years, the need to share on the Web the knowledge of Cultural Heritage (CH) through navigable 3D models has increased. This need requires the availability of Web-based virtual reality systems and 3D WEBGIS. In order to make the information available to all stakeholders, these instruments should be powerful and at the same time very user-friendly. However, research and experiments carried out so far show that a standardized methodology doesn’t exist. All this is due both to complexity and dimensions of geometric models to be published, on the one hand, and to excessive costs of hardware and software tools, on the other. In light of this background, the paper describ…
SOFTWARE FRAMEWORK FOR HYPERSPECTRAL DATA EXPLORATION AND PROCESSING IN MATLAB
2018
Abstract. This paper presents a user introduction and a general overview of the MATLAB software package hsicube developed by the author for simplifying the data manipulation and visualization tasks often encountered in hyperspectral analysis work, and the design principles and software development methods used by the author. The framework implements methods for slicing, masking, visualization and application of existing functions to hyperspectral data cubes without the need to use explicit indexing or reshaping, as well as enabling expressive syntax for combining these operations on the command line for highly efficient data analysis workflows. It also includes utilities for interfacing wit…
What Academic Factors Influence Satisfaction With Clinical Practice in Nursing Students? Regressions vs. fsQCA
2020
Clinical practices are considered one of the cornerstones in nurses' education. This study provides a framework to determine how factors in the academic environment, influence nursing student's satisfaction with their practices. A cross-sectional analytical study was conducted in a convenience sample of 574 nursing students at a private university in Valencia, during the 2016/2017 academic year, 79% (456) were women. Two statistical methodologies were used for data analysis: hierarchical regression models (HRM) and fuzzy sets qualitative comparative analysis (fsQCA). The HRM indicate that the students' mean score influences all dimensions of satisfaction. Furthermore, in the fsQCA, the type…
MOTIVATIONAL ASPECTS AND LEVEL OF SATISFACTION OF ITALIAN JUNIOR DOCTORS WITH REGARD TO KNOWLEDGE AND SKILLS ACQUIRED ATTENDING SPECIFIC GENERAL PRAC…
2017
The demographic and epidemiological transitions resulted in a pressing need to reformulate the health workforce demand and to revise pre- and post-graduate training to prepare the medical profiles to meet the new health needs focused on chronic diseases. The Italian Junior Doctors Association and the Giotto Movement carried out a web survey to identify the motivational aspects and the level of satisfaction of Italian junior doctors regarding knowledge and skills acquired after attending the General Practitioners’ specific training (GP-ST). Three-hundred-forty-seven General Practitioners (GPs), 302 trainees and 45 newly qualified trainees answered a web questionnaire. Significant differences…
MEDICAL WORKFORCE PLANNING IN A CHANGING HEALTH CONTEXT: COMPARISON BETWEEN ITALY AND EUROPE
2019
An increasing need for healthcare workers as been estimated worldwide. To provide a comprehensive framework of the medical workforce in Italy, we investigated the post-lauream medical workforce training supply and demand. Further, a comparison of the medical workforce between Italy and other European Countries with a similar epidemiological and/or demographic context was performed. The distribution of pre- and post-lauream medical educational providers and post-lauream resources in place in Italy was analyzed among Italian macro-areas in the academic years 2015-2016, 2016-2017 and 2017-2018.Italy and the European countries in study were compared in term of post-lauream funding and number of…
Iästä johtamiseen : ikäjohtaminen ja eri-ikäisyys johtajuuden tutkimuskohteena
2011
Asiakasraportointiprosessin uudistus finanssiyhtiöissä
2017
Nykyaikaiset liiketoimintaympäristöt ovat dynaamisia ja organisaatioiden pitää jatkuvasti kehittää toimintaansa tarjotakseen asiakkailleen uusia, parempia ja joustavampia palveluja tehokkaammin. Palvelujen laatu, joustavuus ja tehokkuus ovat selkeitä kilpailuetuja markkinoilla. Finanssialan yritysten asiakasraportointi on yksi selkeimmin asiakkaille näkyvistä prosesseista. Tässä tutkielmassa toteutettiin suomalaiselle finanssiyhtiöille uusi asiakasraportoinnin kuukausittaiseen massa-ajoon tarkoitettu sovellus. Tutkielmassa rinnastettiin Business Process Reengineering-malli (BPR) suunnittelutieteellisen tutkimuksen malliin. Näiden mallien avulla uudistusprojekti pystyttiin viemään läpi syste…
Kommunikatiivinen opettaminen : indoktrinaation kriittinen teoria
2003
Estimation of linear errors-in-variable models with error free covariates: a backfitting approach
2008
We present a backfitting algorithm to estimate linear regression mod- els having both error-prone and error-free covariates as predictors. The algorithm assumes that the variance-ratios are known, and it is particulary efficient when several explanatory variables are included. The resulting estimators are shown to be unbiased and to perform well as compared to method-of-moments estimators which are usually employed when the variance ratio is known.