130,442 research outputs found
Corruzione internazionale e responsabilità amministrativa degli enti
No full textLa nota a sentenza propone alcune osservazioni critiche alla sentenza della Corte di Cassazione, Sez. VI, 30 settembre 2010, n. 42701 che ha stabilito il seguente principio di diritto: "Anche all’ente indagato per l’illecito amministrativo di cui all’art. 25 d. lg. N. 231/2001 derivante dal reato di cui all’art. 322 bis c.p. (corruzione internazionale) si applicano le misure cautelari interdittive. Il comma IV dell’art. 25 ha la funzione di estendere l’ambito soggettivo di quegli stessi delitti richiamati nei primi tre commi. Pertanto, il richiamo contenuto nel comma V dell’art. 25 cit. deve considerarsi rivolto alle ipotesi base di corruzione indicate nei commi II e III, comprensive anche delle estensioni soggettive contemplate nel comma IV"
Random perturbations of term weighted Gene Ontology annotations for discovering gene unknown functionalities
No full textComputational analyses for biomedical knowledge discovery greatly benefit from the availability of the description of gene and protein
functional features expressed through controlled terminologies and ontologies, i.e. of their controlled annotations. In the last years, several databases of such annotations have become available; yet, these annotations are incomplete and only some of them represent highly reliable human curated information. To predict and discover unknown or missing annotations existing approaches use unsupervised learning algorithms. We propose a new learning method that allows applying supervised algorithms to unsupervised problems, achieving much better annotation predictions. This method, which we also extend with the application of
weighting techniques to the data, is based on random perturbations of the data, to create artificial labeled training sets. We tested it on nine Gene Ontology annotation datasets; obtained results demonstrate that our approach achieves good efectiveness in novel annotation prediction, outperforming state of the art unsupervised methods
Latent topic models of surface syntactic information
No full textTopic Models like Latent Dirichlet Allocation have been widely used for their robustness in estimating text models through mixtures of latent topics. Although LDA has been mostly used as a strictly lexicalized approach, it can be effectively applicable to a much richer set of linguistic structures. A novel application of LDA is here presented that acquires suitable grammatical generalizations for semantic tasks tightly dependent on NL syntax. We show how the resulting topics represent suitable generalizations over syntactic structures and lexical information as well. The evaluation on two different classification tasks, such as predicate recognition and question classification, shows that state of the art results are obtained. © 2011 Springer-Verlag Berlin Heidelberg
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Tinjauan Bentuk dan Struktur Koyunbaba (suite fuer gitarre Op.19) Karya Carlo Domeniconi
No full textTujuan penelitian ini untuk meninjau bagaimana Bentuk dan Struktur
Koyunbaba (suite fuer gitarre Op.19) karya Carlo Domeniconi. Objek penelitian
difokuskan pada bentuk dan struktur ditinjau dari pengolahan motif pada karya
Koyunbaba (suite fuer gitarre Op.19) Karya Carlo Domeniconi.
Metode penelitian ini menggunakan metode kualitatif deskriptif dengan
teknik analisis isi. Data yang diperoleh dengan cara studi dokumentasi,
wawancara, dan studi pustaka. Teknik analisis data yang digunakan ialah reduksi
data, penyajian data, dan penyimpulan. Adapun uji keabsahan data menggunakan
triangulasi.
Hasil penelitian ini adalah bahwa Koyunbaba (suite fuer gitarre Op.19)
yang terdiri dari empat movement yaitu Moderato, II Mosso, III Cantabille, IV
Presto. Karya ini merupakan bentuk suita modern dikarenakan karya ini bukanlah
karya yang diciptakan untuk mengiringi suatu tarian tertentu, dapat dilihat dari
latar belakangnya yang merupakan sebuah cerita. Karya ini terdiri dari beberapa
bagian yaitu, I Moderato A-B-C-A’-B’, II Mosso A-B-B’-A’, III Cantabille A-BC-D-E-E’-F, IV Presto A-B-A-C-A-D-A-transisi 1-A-transisi 2-E-transisi 3-Atransisi 4-F-A-transisi 5-CODA. Karya ini memiliki tema ditiap movement, pada
movement I Moderato terdapat 2 tema dan pengolahannya, kemudian movement II
mosso terdapat 1 tema dan pengolahannya, movement III Cantabille memiliki1
tema pokok namun terdapat pengembangan tema yang terdapat pada movement I
dan movement II, dan movementIV Presto terdapat 1 tema yang diulang terus
menerus.
Melalui hasil penelitian ini, peneliti berharap dapat menjadi media untuk
menambah wawasan gitaris klasik, sebagai acuan dalam memainkan karya ini.
Peneliti juga berharap adanya penyempurnaan pada sistem pembelajaran
matakuliah Bentuk dan Analisa struktur diprogram studi Pendidikan Seni Musik
Universitas Negeri Jakart
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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
Extraocular cutaneous sebaceous carcinoma in a patient with Muir-Torre syndrome: special emphasis on histologic and dermoscopic features
No full textCutaneous sebaceous carcinoma (CSC) can be classified into periocular and extraocular and can occur as part of Muir-Torre syndrome. It is usually a pink-red or yellow solitary nodule, mainly located in the head and neck region. According to the literature, dermoscopy is characterized in most cases by a yellow color, polymorphic vessels, and ulceration. We performed a review of the literature, and we found 14 papers describing the dermoscopic features of 33 sebaceous carcinomas, to which we added a case that we have recently observed. Compared to the data of the literature and in particular to the latest published reviews, we found that milky-red areas are frequently observed in CSC (47% of the cases) and can be added to the main dermoscopic features for the diagnosis. In our case, histology showed some features that were consistent with a CSC with a secretory pattern, and other features that were instead consistent with a non-secretory pattern. This was probably due to the fact that the lesion we observed was a moderately differentiated and not well-differentiated CSC. The presence of a CSC should always alert the clinician to the possible association with Muir-Torre syndrome, and immunohistochemistry for mismatch repair gene defects can help in the diagnostic pathway
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