1,720,960 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Transcription Factor Oligodeoxynucleotides to NF-{kappa}B Inhibit Transcription of IL-8 in Bronchial Cells.
Chronic pulmonary inflammation in patients affected by cystic fibrosis (CF) is characterized by massive bronchial infiltrates of neutrophils, which is sustained by the interaction of pathogens (e.g. Pseudomonas aeruginosa) with surface bronchial cells. To explore new treatment options focused on the reduction of neutrophil chemotaxis, we applied the transcription factor (TF) decoy approach, based on the intracellular delivery of double stranded oligodeoxynucleotides (ODNs) causing inhibition of the binding of TF-related proteins to the different consensus sequences in the promoter of specific genes. In CF bronchial IB3-1 cells, P.aeruginosa induced transcription of the neutrophil chemokines IL-8 and GRO-gamma of the adhesion molecule ICAM-1, and of the cytokines IL-1beta and IL-6. Since consensus sequences for the TF, NF-kappaB, is contained in the promoters of all these genes, IB3-1, CuFi-1, Beas-2B and CaLu-3 cells were transfected with double stranded TF "decoy" ODNs mimicking different NF-kappaB consensus sequences. IL-8 NF-kappaB decoy ODN partially inhibited the P.aeruginosa-dependent transcription of IL-8, GRO-gamma and IL-6, whereas decoy ODNs to both HIV-1 LTR and Igk produced a strong, 80 to 85% inhibition of transcription of IL-8, without reducing that of GRO-gamma, ICAM-1, IL-1beta and IL-6. In conclusion, intracellular delivery of "decoy" molecules aimed to compete with the TF, NF-kappaB, is a promising strategy to obtain inhibition of of IL-8 gene transcription
Variations on the Author
“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
We 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
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
Le informazioni contabili a supporto del processo decisorio d'impresa
Dottorato di ricerca in economia aziendale. 9. ciclo. Tutore Giovanni Cardillo. Coordinatore Carmelo Butta'Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome; Biblioteca Nazionale Centrale - Piazza Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
MIDI-Mistral: controllable transformer-based MIDI generation for bar and track infilling
LAUREA MAGISTRALEPresentiamo MIDI-Mistral, un framework basato su transformer per il completamento di musica simbolica multi-traccia, consentendo la generazione sia a livello di battuta che di traccia con un controllo dettagliato su diverse caratteristiche musicali. Integrando specifici token di controllo, permettiamo agli utenti di guidare il processo di generazione attraverso parametri come densità delle note, polifonia e struttura ritmica, migliorando sia la coerenza stilistica che la flessibilità creativa. Per ottimizzare efficienza e prestazioni, utilizziamo la tokenizzazione Byte Pair Encoding (BPE), che comprime le sequenze musicali preservando al contempo le informazioni strutturali essenziali. A differenza dei modelli precedenti, vincolati a sequenze di input di lunghezza fissa, il nostro framework non impone limitazioni strutturali sul numero di battute o tracce, consentendo una generazione flessibile e scalabile su intere composizioni. Per valutare oggettivamente il nostro approccio, introduciamo MIDIMetrics, una libreria Python per l'analisi dei modelli di generazione musicale simbolica, che utilizziamo per confrontare il nostro sistema con due metodi all'avanguardia. I risultati sperimentali dimostrano che il nostro modello ottiene prestazioni competitive rispetto ai modelli esistenti, superandoli in particolare nella comprensione del ritmo musicale e nel completamento delle tracce di batteria.We present MIDI-Mistral, a transformer-based framework for multi-
track symbolic music infilling, enabling generation at both bar and track levels
with fine-grained control over musical attributes. By integrating attribute control
tokens, we allow users to guide the generation process through parameters such as
note density, polyphony, and rhythmic structure, enhancing both stylistic coher-
ence and creative flexibility. To optimize efficiency and performance, we employ
Byte Pair Encoding (BPE) tokenization, which compresses musical sequences while
preserving essential structural information. Unlike previous models constrained by
fixed-length input sequences, our framework imposes no structural limitations on
the number of bars or tracks, enabling flexible and scalable generation over entire
compositions. To objectively evaluate our approach, we present MIDIMetrics -
a Python library designed to evaluate symbolic music generation models. Using
MIDIMetrics, we benchmark our system against MMM and MusIAC, two state-
of-the-art methods. Experimental results demonstrate that our model achieves
competitive performance with respect to existing models, and specifically outper-
forms them in understanding musical rhythm and infilling on drum tracks
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