Search results for "Moi"
showing 10 items of 2109 documents
Bis(hydroxyammonium) hexachloridoplatinate(IV)–18-crown-6 (1/2)
2014
In the title complex, (NH3OH)2[PtCl6]·2C12H24O6, the PtIV atom is coordinated by six chloride anions in a slightly distorted octahedral geometry. The Pt—Cl bond lengths are comparable to those reported for other hexachloridoplatinate(IV) species. The hydroxyammonium groups act as linkers between the [PtCl6]2− anion and the crown ether molecules. The anion is linked to two hydroxyammonium cations via O—H...Cl hydrogen bonds and each hydroxyammonium moiety is linked to a crown ether molecule by hydrogen bonds between ammonium H atoms and 18-crown-6 O atoms. The crown ether molecules have the classic crown shape in which all O atoms are located in the inner part of the crown ether ring and all…
L'invention de la Valeur Universelle Exceptionnelle de l'Unesco
2015
De la Valeur Universelle Exceptionnelle de 1972, en passant par la Convention pour la reconnaissance de l'immatérialité de 2003, le patrimoine mondial de l'UNESCO, à l'importante plasticité conceptuelle, ne cesse d'évoluer. Cet ouvrage invite au débat sur l'évolution du patrimoine mondial, à travers trois axes : diachronique, interactionniste et communicationnel, mais aussi politique et prospectif.
Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules
2020
Many real life problems can be modelled as multiobjective optimization problems. Such problems often consist of multiple conflicting objectives to be optimized simultaneously. Multiple optimal solutions exist to these problems, and a single solution cannot be said to be the best without preferences given by a domain expert. Preferences can be used to find satisfying solutions: optimal solutions, which best match the expert’s preferences. To model the preferences of the expert, and aid him/her in finding satisfying solutions, a novel method is proposed. The method utilizes machine learning combined with belief-rule based systems to adaptively train a belief rule based system to learn a domai…
Evolución serológica de la primoinfección por el virus de Epstein-Barr en niños
2019
Existen pocos estudios longitudinales sobre la evolución serológica tras la primoinfección por el VEB en la infancia. La interpretación de la respuesta serológica en los niños no es fácil, ya que la infección suele cursar de manera oligosintomática en los mas pequeños, la sensibilidad de los anticuerpos heterófilos es baja y la serología puede dar falsos negativos y positivos por reacciones cruzadas con otros virus. La ausencia de respuesta serológica en algunas personas, nos pone en la situación de tener que interpretar perfiles serológicos atípicos de los que se desconoce su repercusión. El objetivo de este estudio fue describir las características clínicas, epidemiológicas y la evolución…
A replication study on the intuitiveness of programming language syntax
2023
AbstractIn this article, we present a replication of an empirical experiment that evaluates intuitiveness and comprehensibility of keywords relating to different concepts in programming languages, originally conducted by Stefik and Gellenbeck. Novice programmers face many barriers when learning programming. One of these barriers is syntax, which for many languages is not designed based on empirical evidence. The purpose of the experiment was to provide more empirical evidence on the subject, to find out if the results of the original experiment can be replicated and if conducting the experiment in an environment where English is not the native language affects the results. The results of ou…
On optimization of simulation based design
2007
On potential of interactive multiobjective optimization in chemical process design
2006
Interaktiivinen monitavoiteoptimointi soveltuu hyvin teollisen kemian prosessisuunnitteluun. Jussi Hakanen esittelee väitöskirjassaan menetelmään pohjautuvan uuden työkalun, jollaista ei aiemmin ole ollut tarjolla. Hakanen on soveltanut työkalua onnistuneesti useiden kemiallisten prosessien suunnitteluun huomioimalla uudella tavalla enemmän kuin kaksi prosessin käyttäytymiseen vaikuttavaa tavoitetta.Aikaisemmin kemian prosessien suunnittelussa on otettu huomioon enintään kaksi prosessin toimintaan vaikuttavaa ristiriitaista tavoitetta. Hakasen esittelemä lähestymistapa ei rajoita huomioitavien tavoitteiden määrää, mikä mahdollistaa prosessien aiempaa realistisemman suunnittelun. Väitöstyöss…
Les sacrifices du corps: configuration, formes et évolution de(s) mémoire(s) de Blas de Lezo en Espagne. XVIIIe-XIXe siècles
2020
Resumen Desde las aportaciones metodológicas y teóricas de los memory studies, este artículo analiza la configuración de la memoria de Blas de Lezo desde sus inicios hasta finales del siglo XIX. A partir del estudio de biografías, compendios históricos y artículos periodísticos principalmente, tratan de delimitarse los factores que confluyen en su construcción, la versatilidad de su funcionalidad política y las constantes modificaciones producidas en sus usos públicos. La revalorización de la figura de Lezo es interpretada como símbolo del imperio y la nación española, esencia de la españolidad –unida a la exaltación de los fueros y la especificidad vasca– y ejemplo de sacrificio para una m…
Soft Competencies and Satisfaction Levels for Software Engineers: A Unified Framework
2019
The importance of software engineers’ competency has long been established as a key pillar for the development of robust software in order to achieve quality software. Software engineering competency research is not necessarily lacking. Nevertheless, the satisfaction derived from using software competency needs more investigation. The aim of this study is to identify soft competencies from empirical data and create satisfaction levels for software engineers’ soft competencies. The result shows 63 soft competencies with three different satisfaction levels consisting of basic, performance and delighters. The paper contributes to the SEC research by highlighting the satisfaction levels of soft…
Explainable Fuzzy AI Challenge 2022 : Winner’s Approach to a Computationally Efficient and Explainable Solution
2022
An explainable artificial intelligence (XAI) agent is an autonomous agent that uses a fundamental XAI model at its core to perceive its environment and suggests actions to be performed. One of the significant challenges for these XAI agents is performing their operation efficiently, which is governed by the underlying inference and optimization system. Along similar lines, an Explainable Fuzzy AI Challenge (XFC 2022) competition was launched, whose principal objective was to develop a fully autonomous and optimized XAI algorithm that could play the Python arcade game “Asteroid Smasher”. This research first investigates inference models to implement an efficient (XAI) agent using rule-based …