Search results for "dynamics."

Formulas for the thermodynamic properties of dense nitrogen.

1969

Hadronic light-by-light contribution to $(g-2)_\mu$ from lattice QCD with SU(3) flavor symmetry

2020

We perform a lattice QCD calculation of the hadronic light-by-light contribution to $(g-2)_\mu$ at the SU(3) flavor-symmetric point $m_\pi=m_K\simeq 420\,$MeV. The representation used is based on coordinate-space perturbation theory, with all QED elements of the relevant Feynman diagrams implemented in continuum, infinite Euclidean space. As a consequence, the effect of using finite lattices to evaluate the QCD four-point function of the electromagnetic current is exponentially suppressed. Thanks to the SU(3)-flavor symmetry, only two topologies of diagrams contribute, the fully connected and the leading disconnected. We show the equivalence in the continuum limit of two methods of computin…

Synthesis and Structure-Affinity Relationships of Spirocyclic Benzopyrans with Exocyclic Amino Moiety

2019

σ1 and/or σ2 receptors play a crucial role in pathological conditions such as pain, neurodegenerative disorders, and cancer. A set of spirocyclic cyclohexanes with diverse O-heterocycles and amino moieties (general structure III) was prepared and pharmacologically evaluated. In structure-activity relationships studies, the σ1 receptor affinity and σ1:σ2 selectivity were correlated with the stereochemistry, the kind and substitution pattern of the O-heterocycle, and the substituents at the exocyclic amino moiety. cis-configured 2-benzopyran cis-11b bearing a methoxy group and a tertiary cyclohexylmethylamino moiety showed the highest σ1 affinity ( Ki = 1.9 nM) of this series of compounds. In…

Regional differences in Italian students' performance: a simulation model

2017

This work presents the first results of a research project seeking to build a simulation model able to reproduce the differences of Italian students’ performance at regional level. A preliminary qualitative cause-and-effect model defines the main variable involved in the inter-generational skill formation processes, as well as their interplay with the job market context and the triggering of motivational forces for new skill acquisition. Such model was designed according to a system dynamics perspective, considered suitable for capturing the interrelatedness of key variables and for providing useful simulation tools to conduct and communicate future scenario analyses.     Keywords: regional…

Crowdsourcing as a mode of open innovation: Exploring drivers of success of a multisided platform through system dynamics modelling

2020

This article aims to explore drivers of success of a crowdsourcing platform. The study conceptualizes crowdsourcing as a mode of open innovation and places such a concept within the context of the sharing economy. Upon this framework, the paper analyses the case of InnoCentive, a successful crowdsourcing platform where innovation-driven organizations search for solutions to their R&D tasks. The system dynamics model frames main InnoCentive business processes and offers a causal perspective on the relationships between platform performance—in terms of users base—and resources structure. The discussion on simulation outputs is carried out through a dynamic performance management view of p…

Performance Management in Local Government: The Application of System Dynamics to Promote Data Use

2014

The purpose of this article is to demonstrate how system dynamics can be used to enrich performance management in local government, focusing specifically on how the development of conceptual and simulation system dynamic models can foster a shared view of the relevant system among stakeholders to overcome factors that limit data use. Responding to this purpose, we present a normative case study on how key drivers can be used to foster a shared view of the residential refuse collection system for supporting policy and process changes. A major finding from our research, however, is that performance management cannot overlook the broader forces of citizenship outcomes that impact the community.

Addressing Patients Mobility through a Dynamic Performance Management perspective: the case of Sicily

Al giorno d'oggi molte regioni italiane sperimentano il fenomeno della mobilità sanitaria passiva, consistente nella tendenza dei loro residenti a rivolgersi ad altri sistemi sanitari regionali, spesso caratterizzati da miglior reputazione, per ricevere assistenza sanitaria. Poiché il Servizio Sanitario Italiano (SSN) è pubblico e regionalizzato, ogni governo regionale ha la responsabilità di prestare assistenza sanitaria ai propri residenti, garantendo al contempo ad ogni cittadino la libertà di essere curato fuori dalla propria giurisdizione, e compensando le regioni di destinazione per i servizi sanitari resi ai non residenti. Nonostante tale diritto di scelta sia un punto di forza del S…

A dynamic performance management approach to support local strategic planning

2015

In spite of efforts devoted in the last decades to local strategic planning, such field of research and practice has been frequently characterized by a lack of implementation. We argue here that this phenomenon is due to the limitations of the static and linear approach to local strategic planning in fostering the development of common shared view among policy makers on the relevant system's structure and behavior. By means of a case-study, we illustrate how an approach based on system dynamics modeling applied to Performance Management can be useful to overcome such weaknesses. The proposed approach enhances a better understanding of the causes and effects related to adopted policies, unde…

A System Dynamics approach to improve clinical risk management effectiveness in an italian hospital ward: a case study.

Anomaly detection approach to keystroke dynamics based user authentication

2017

Keystroke dynamics is one of the authentication mechanisms which uses natural typing pattern of a user for identification. In this work, we introduced Dependence Clustering based approach to user authentication using keystroke dynamics. In addition, we applied a k-NN-based approach that demonstrated strong results. Most of the existing approaches use only genuine users data for training and validation. We designed a cross validation procedure with artificially generated impostor samples that improves the learning process yet allows fair comparison to previous works. We evaluated the methods using the CMU keystroke dynamics benchmark dataset. Both proposed approaches outperformed the previou…