306,376 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Sviluppo ed applicazione di tecniche di compressione per l'implementazione di algoritmi in Sistemi Embedded
No full textQuesta tesi di dottorato presenta lo sviluppo ed applicazione di tecniche di compressione per implementazione di algoritmi in sistemi embedded per i quali, viste le limitate risorse di memoria e di calcolo, è spesso problematica la trasmissione/ricezione di elevate quantità di dati, nonché implementazione di algoritmi e di modelli.
Come primo progetto di ricerca, è stato effettuato uno studio comparativo dei principali algoritmi di ricostruzione per il Compressed Sensing applicati al segnale elettromiografico, allo scopo di fornire linee guida nella scelta del miglior algoritmo nel contesto delle Wireless-Body-Area-Networks dove il Compressed Sensing può essere applicato per ridurre la quantità di dati trasmessi.
E’ stata ottenuta una migliore qualità di ricostruzione rispetto ai risultati in letteratura forzando la sparsità del segnale, nondimeno è stato proposto un solver per il Basis Pursuit con un ridotto costo computazionale ed un trascurabile numero di prodotti.
Come seconda tematica, in risposta al problema del "Curse of Dimensionality" nell’apprendimento non supervisionato, è stata proposta una tecnica di Manifold Learning per lo sviluppo di un modello causale per biosegnali.
E’ stato sviluppato un algoritmo di stima della dimensione intrinseca che supera le difficoltà delle tecniche in letteratura nella gestione di un alto numero di dimensioni, nonché un metodo per l'apprendimento del modello applicandolo alla ricostruzione e generazione del segnale ottenendo per quest’ultima risultati migliori rispetto alle Generative Adversarial Networks.
Come ultima area di ricerca, sono state proposte reti neurali convoluzionali per diverse applicazioni quali identificazione del mal dell’esca, Semantic Segmentation, Pedestrian Tracking. Esse sono state ottenute tramite tecniche di decomposizione tensoriale ed implementate su sistemi embedded, ottenendo ottimi livelli di accuratezza e tempi di inferenza inferiori a quelle delle reti disponibili nello stato dell’arte.This doctoral thesis presents the development and application of compression techniques in embedded systems whose limited resources in terms of memory and computational capacity often imply issues with transmission/reception of large data quantities and practical implementation of algorithms and models.
Concerning the first research project, a comparative study of Compressed Sensing reconstruction algorithms applied to elecromyographic signal was performed with the aim of giving some guidelines for the choice of the best algorithm with reference to Compressed Sensing application to Wireless-Body-Area-Networks in which Compressed Sensing turns out to be useful to reduce the quantity of transmitted data.
A better reconstruction quality than results in literature was obtained by enforcing signal sparsity, moreover an optimized solver for Basis Pursuit was proposed which requires low computational cost and a neglegible number of product operations.
In the second research topic, in response to the Curse of Dimensionality problem which concerns unsupervised learning a novel Manifold Learning technique was proposed for causal modeling of biosignals.
An Intrinsic Dimension algorithm was proposed which overcomes the difficulties of the techniques available in literature when dealing with a high number of dimensions, in addition a model learning technique was developed which was later applied to signal reconstruction and generation. The latter obtained better results than Generative Adversarial Networks.
In the last research area Convolutional Neural Networks were proposed for different applications as esca disease detection, Semantic Segmentation and Pedestrian Tracking. These networks which were designed by using tensor decomposition techniques, were implemented on embedded platforms achieving very good accuracy performances in addition to the lowest values for inference time if compared to the available state-of-art-networks
Educare ed educarsi alle relazioni, pensare, sentire, socializzare
No full textLa trasformazione delle nostre società, sempre
più aperte alla contaminazione con altre cultu
re, richiede lo sviluppo, fin dalla prima infanzia,
di atteggiamenti capaci di rispondere alle nuo
ve sfide sociali e culturali. Questo contributo si
propone di descrivere una progettazione orien
tata al rispetto della diversità, identificando nel
la pratica filosofica uno strumento di supporto
all’educazione, nonché un mezzo con cui asse
condare la propensione di bambini e bambine
alla consapevolezza di sé e dell’altro/a, solle
citati alla co-costruzione di prodotti frutto di
espressione fantasiosa e di interazioni sociali
Le (im)pari opportunità nei libri di testo scolastici - (Dis)equal opportunities in school textbooks
No full textBecause textbooks can contribute to gender models and roles formation, this review summarizes the main research on equal opportunity in textbooks adopted in primary and secondary school. Both international and national surveys show an unbalanced representation of male and female gender: male characters (vs female ones) are more often the protagonists of stories and their turn in conversations has greater frequency and length; male and female role models are stereotypically represented; the use of the unmarked masculine is dominant. Educational interventions and future paths to equality are discussed in the conclusions
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Las aves de Coronda 2016
No full textEste libro electrónico surgió del proyecto de extensión: “Planificación del aviturismo como herramienta de conservación y desarrollo comunitario para la ciudad de Coronda.”, desarrollado en la ciudad de Coronda, provincia de Santa Fe. Se trata de una serie de fichas técnicas de algunas de las especies de aves más conspicuas de la zona.Fil: David, María Florencia. Facultad de Ciencias Veterinaria. Universidad Nacional de Rosario, Argentina.Fil: Nigro, Claudia. Facultad de Ciencias Veterinaria. Universidad Nacional de Rosario, Argentina.Fil: Manoni, Cintia. Facultad de Ciencias Veterinaria. Universidad Nacional de Rosario, Argentina
Aves de Coronda: primera parte
No full textEl equipo docente de la Cátedra Libre de fauna silvestre de la Facultad de Ciencias Veterinarias de la UNR los invita a conocer las aves de esta ciudad y la región. En esta primera parte, les mostramos 20 de las 400 especies que existen en la provincia de Santa Fe.Fil: David, María Florencia. Facultad de Ciencias Veterinarias. Universidad Nacional de Rosario, Argentina.Fil: Nigro, Claudia. Facultad de Ciencias Veterinarias. Universidad Nacional de Rosario, Argentina.Fil: Manoni, Cintia. Facultad de Ciencias Veterinarias. Universidad Nacional de Rosario, Argentina
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