Search results for "RAM"

Evaluation of Superparamagnetic Silica Nanoparticles for Extraction of Triazines in Magnetic in-Tube Solid Phase Microextraction Coupled to Capillary…

2014

The use of magnetic nanomaterials for analytical applications has increased in the recent years. In particular, magnetic nanomaterials have shown great potential as adsorbent phase in several extraction procedures due to the significant advantages over the conventional methods. In the present work, the influence of magnetic forces over the extraction efficiency of triazines using superparamagnetic silica nanoparticles (NPs) in magnetic in tube solid phase microextraction (Magnetic-IT-SPME) coupled to CapLC has been evaluated. Atrazine, terbutylazine and simazine has been selected as target analytes. The superparamagnetic silica nanomaterial (SiO2-Fe3O4) deposited onto the surface of a capil…

Folate targeted coated SPIONs as efficient tool for MRI

2017

The development of more sensitive diagnostic tools allowing an early-stage and highly efficient medical imaging of tumors remains a challenge. Magnetic nanoparticles seem to be the contrast agents with the highest potential, if properly constructed. Therefore, in this study, hybrid magnetic nanoarchitectures were developed using a new amphiphilic inulin-based graft copolymer (INU-LAPEG-FA) as coating material for 10-nm spinel iron oxide (magnetite, Fe3O4) superparamagnetic nanoparticles (SPION). Folic acid (FA) covalently linked to the coating copolymer in order to be exposed onto the nanoparticle surface was chosen as the targeting agent because folate receptors are upregulated in many can…

Suurten vähittäiskaupan ketjujen suoramainonta ja muu printtimainonta

1999

N. 53 schede delle maioliche della Collezione Giallo. In: GABRIELLA COSTANTINO, BERNARDO AGRO' (a cura di), MUCEB. Museo della ceramica di Burgio. Co…

2008

N. 53 schede delle maioliche della Collezione Giallo. In: GABRIELLA COSTANTINO, BERNARDO AGRO' (a cura di), MUCEB. Museo della ceramica di Burgio. Contributi di storia dell'arte, archeologia ed etnoantropologia. vol. 1, p. 87-103, PALERMO: EDIZIONIDIPASSAGGIO, 2008

Makrofāgu funkcionālā programmēšana vēža šūnu sferoīdu klātbūtnē

2022

Audzēju makrofāgu (tumor-associated macrophages, TAM) pārprogrammēšana ir daudzsološa vēža imūnterapijas stratēģija. Maģistra darba ietvaros tika izveidots un raksturots jauns in vitro 3D modelis makrofāgu programmēšanas pētījumiem vēža sferoīdu klātbūtnē. Pirmkārt, tika parādīts, ka 3D kultivētajiem makrofāgiem citokīnu, hemokīnu un virsmas marķieru profils būtiski neatšķiras no monoslānī kultivētajiem makrofāgiem. Otrkārt, tika izpētītas makrofāgu pārprogrammēšanas iespējas 3D apstākļos. Iegūtie dati liecina, ka pārprogrammēšanas rezultātā tiek iegūts jaukts makrofāgu fenotips, kas ekspresē gan imūnsupresīvus, gan pretvēža imūnstimulējošus faktorus. Treškārt, tika parādīts, ka vēža šūnu s…

Alterations of panoramic radiomorphometric indices in children and adolescents with beta-thalassemia major: A fractal analysis study

2021

Background Beta-thalassemia major is an inherited disorder that can cause bone deformity and loss of bone mineral density. The objective of this study is to evaluate the cortical and trabecular mandibular bone morphology of children and adolescents who have beta-thalassemia major (ß-TM) using a fractal dimension (FD) analysis and different panoramic radiomorphometric indices with digital panoramic radiographic images (DPRIs). Material and Methods The study included 80 patients (with 40 patients each of ß-TM and control). The mandibular cortical width (MCW), panoramic mandibular index (PMI), mandibular cortical index (MCI), and simple visual estimation (SVE) were evaluated, and an FD analysi…

Bayesian semiparametric long memory models for discretized event data

2020

We introduce a new class of semiparametric latent variable models for long memory discretized event data. The proposed methodology is motivated by a study of bird vocalizations in the Amazon rain forest; the timings of vocalizations exhibit self-similarity and long range dependence. This rules out Poisson process based models where the rate function itself is not long range dependent. The proposed class of FRActional Probit (FRAP) models is based on thresholding, a latent process. This latent process is modeled by a smooth Gaussian process and a fractional Brownian motion by assuming an additive structure. We develop a Bayesian approach to inference using Markov chain Monte Carlo and show g…

Modelling Without a Modelling Language

2018

Developments in computer hardware and programming languages, in this case C++, have made it feasible to write models of concurrent systems under verification in the programming language, instead of some established modelling language such as Promela. While this does not reduce the usefulness of modelling languages, it offers new possibilities that may be advantageous, for instance, when teaching state space ideas to newcomers or when experimenting with new scientific ideas. In earlier work, we were able to express everything else fairly naturally in C++, except the set of transitions. The present study uses C++ lambda functions to represent naturally transitions that consist of a tail state…

How modeling helps in developing self-sovereign identity governance framework: An experience report

2022

Digital Identity has become a topic that attracts the attention of researchers due to the enormous number of services that have been provided online recently. Researchers face many obstacles regarding the security, privacy, and utility of digital identity. Self-Sovereign Identity (SSI) ecosystems provide a solution for digital identity, in addition to providing a decentralized human-centric paradigm that enables users to own and control their identity. Governance framework (GF) is a key challenge in building SSI ecosystems for two reasons. First, the GF needs to address various aspects such as user needs, standards, laws, and business requirements in an ecosystem. Second, the ecosystem cons…

Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music

2007

A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the…