1,720,963 research outputs found
"Bio skills in motion save the world" - EARTH - Progetto Leonardo da Vinci - Virtual Job Hunt
No full textIl progetto “Virtual Job Hunt” rientra nelle azioni del progetto europeo “Bio skills in motion save the world”- EARTH - Leonardo Da Vinci, nell’ambito delle politiche di sviluppo dell’apprendimento permanente per studenti in possesso del titolo di Laurea, in cerca di prima occupazione o di formazione per un ricollocamento. Con il progetto “Bio skills in motion save the world”- EARTH si intende proseguire nell’intento di internazionalizzazione dei nostri laureati e di un loro inserimento di valore nel mercato del lavoro.
Il progetto, indirizzato a 117 studenti delle Università della regione Marche, prevede una parte preparatoria da svolgere in Italia e 3 mesi di stage in un’azienda estera europea. L’Università di Camerino si è occupata della parte preparatoria in Italia con il progetto “Virtual Job Hunt”, sviluppando i contenuti interamente in lingua inglese ed organizzando la loro erogazione in e-learning
From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation
No full textAccurate brain tumor segmentation is crucial for precise medical diagnosis and treatment planning in medical imaging. This research delves into assessing the effectiveness and transparency of Graph Neural Networks (GNNs) in brain tumor segmentation. The primary objectives include comparing various GNN architectures and improving their understandability by applying the GNNExplainer method. Leveraging the BraTS 2021 challenge dataset, which consists of MRI scans and corresponding ground truth annotations, the study reveals the successful application of GNNs in achieving precise brain tumor segmentation. By incorporating GNNExplainer, the explainability of the models is significantly enhanced, shedding light on the decision-making processes within the network. The proposed approach could advance the field of brain tumor segmentation, providing clinicians with accurate and transparent models to inform their decision-making processes in patient care
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Applicazione del machine learning ai learning analytics della piattaforma Moodle per creare gruppi eterogenei nei corsi on-line
Full text linkIn university courses to promote collaborative activities among students, on-line learningenvironments such as e-learning platforms are used. Effective collaborative activitiesinvolve the creation of heterogeneous groups of 4 or 5 students. In the university contextthe formation of groups is difficult due to the high number of students. Groups are oftenunbalanced and not very functional if chosen randomly. Some e-learning platforms, suchas Moodle, lack an intelligent mechanism that allows the automatic creation of heterogeneousgroups of students. We applied clustering algorithms on Moodle learning analytics(LA) that allowed to build groupings that identify the different characteristics ofstudents based on their behaviors kept on the platform. Therefore we have developedan intelligent numerical tool which, using clusters obtained from Machine Learning onthe LA, generates heterogeneous groups. These groups are made available on the platformfor the teacher. The project will conclude with the development of a Moodle pluginto automate the exchange of data and information between the Machine Learning algorithmand the Moodle platform.Nei percorsi universitari, per favorire le attività collaborative tra gli studenti, vengono utilizzatiambienti di apprendimento on-line come le piattaforme e-learning. Attività collaborativeefficaci prevedono la creazione di gruppi eterogenei di 4 o 5 studenti. Nelcontesto universitario la formazione dei gruppi è difficile per l’elevato numero di studenti.Se scelti in maniera casuale, spesso i gruppi risultano sbilanciati e poco funzionali. Alcunepiattaforme e-learning, ad esempio Moodle, mancano di un meccanismo “intelligente”che permetta di creare in automatico gruppi eterogenei di studenti. Il nostro lavoro consistenel realizzare un software in Python in grado di creare gruppi eterogenei di studenti,utilizzando tecniche di Machine Learning con i dati estratti da Moodle. Abbiamo applicato algoritmi di clustering sui learning analytics (LA) di Moodle che hanno permesso di costruiredei raggruppamenti che identificano le caratteristiche degli studenti in base ai lorocomportamenti in piattaforma. Abbiamo quindi sviluppato uno strumento numerico “intelligente”che, utilizzando i cluster ottenuti dal Machine Learning sui LA, genera gruppieterogenei. Questi gruppi vengono messi a disposizione in piattaforma per il docente. Ilprogetto si concluderà con lo sviluppo di un plugin di Moodle per automatizzare lo scambiodi dati e informazioni tra l’algoritmo di Machine Learning e la piattaforma Moodle
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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